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| OOTP Mods - Database Tools Do you need to take a dump? SQL gurus welcome |
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12-13-2021, 03:53 PM
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#1 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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A couple of quick MySQL tricks I thought I'd post
I'm realizing now that since I work with SQL a lot in my daily life, I kind of know my way about the syntax. So, I'd figure I'd use this space to come up with some reports that I plan on using and which you also might find come in handy.
Note that I'm using a MySQL DB called 'modern-ish-baseball'; you'd need to replace that with whatever you're calling your own DB to use this (and of course you'll need to have OOTP dump the relevant tables). I'll start here with a report of a team's batters. The stats I included are your standard "baseball card" stats, no more, no less, and players are ordered by their primary position (i.e. the place they played the most at). As I'm running a temp table in the WHERE clause, this is not the most efficient query in the world but I'm running it against a 24 team league with around 25 years of history and it still only took about 2s to run. The results: Code:
abbr first_name last_name g ab r h 2B 3B hr rbi bb ibb k hpb sh sf sb cs gdp ba obp slg pos g NYY Jason Mooneyhan 116 435 54 114 18 1 10 61 29 2 34 2 0 11 0 0 17 0.262 0.929 0.377 2 114 NYY Khalil Tabb 64 179 19 62 9 0 4 29 11 5 32 2 0 1 0 0 11 0.346 0.987 0.464 2 52 NYY Josh Paige 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0.000 -- 0.000 2 2 NYY Justin Richens 63 231 34 71 17 2 9 26 41 3 14 6 0 5 0 0 6 0.307 0.959 0.515 3 63 NYY Jose Ayala 51 193 24 55 9 0 5 23 13 2 34 1 0 4 2 0 10 0.285 0.945 0.409 3 48 NYY John Chapman 60 138 13 31 6 0 3 14 26 1 16 1 0 2 0 0 0 0.225 0.967 0.333 3 33 NYY Bobby Berg 12 23 7 8 2 0 2 8 6 0 0 0 0 0 0 0 2 0.348 1.000 0.696 3 6 NYY Wing-fung Yi 105 383 44 117 17 6 6 45 67 5 29 2 0 3 12 15 4 0.305 0.984 0.428 4 103 NYY Elijah Patton 38 92 10 19 4 0 0 12 9 3 13 0 0 2 0 1 5 0.207 0.933 0.250 4 17 NYY Chris Eckert 16 33 4 7 1 0 0 3 4 2 7 0 0 0 0 0 2 0.212 1.000 0.242 4 7 NYY Nate Lieb 3 9 1 2 0 0 1 2 2 1 3 0 0 0 0 0 0 0.222 1.000 0.556 4 3 NYY Tom Weiss 128 423 62 115 12 2 17 69 60 3 38 7 1 3 0 0 8 0.272 0.978 0.430 5 108 NYY David Salinas 49 169 14 36 5 0 1 18 15 0 12 1 0 2 2 2 8 0.213 0.963 0.260 5 45 NYY Ty Stover 146 530 85 127 24 6 25 92 96 1 105 3 0 7 1 1 19 0.240 0.970 0.449 6 116 NYY Jason Wichert 28 72 4 14 2 0 0 6 3 0 18 0 0 2 1 0 2 0.194 0.895 0.222 6 26 NYY Chris Grube 10 28 0 1 0 0 0 1 2 1 1 0 0 0 0 0 0 0.036 1.000 0.036 6 9 NYY Ross Poynor 118 389 51 115 13 4 8 39 24 4 74 0 3 2 9 12 4 0.296 0.965 0.411 7 62 NYY Dan Field 69 287 32 85 17 0 5 30 23 4 24 3 0 0 0 0 5 0.296 1.000 0.408 7 68 NYY Ramiro Palencia 24 64 7 11 3 0 0 2 17 0 13 1 0 0 1 1 0 0.172 1.000 0.219 7 17 NYY Matt Brettell 54 52 5 12 2 0 2 6 2 0 15 0 1 0 0 0 0 0.231 0.933 0.385 7 6 NYY Willie Morales 20 29 3 4 2 0 1 3 2 0 7 0 0 0 0 0 0 0.138 1.000 0.310 7 4 NYY Micah MacMillan 109 445 59 110 25 10 5 36 40 2 46 7 1 1 19 10 1 0.247 0.987 0.382 8 108 NYY Marc Ash 62 178 21 44 8 1 1 14 19 0 45 0 0 1 4 5 2 0.247 0.984 0.320 8 33 NYY Frank Meneses 117 428 63 95 9 8 12 45 81 2 95 4 0 1 11 7 6 0.222 0.994 0.364 9 111 NYY Eric Green 33 74 7 14 2 0 1 8 2 0 14 2 0 0 1 0 1 0.189 1.000 0.257 9 16 NYY Arturo Ganzalez 8 27 2 6 0 0 0 1 0 0 2 0 0 0 2 0 1 0.222 1.000 0.222 9 5 Code:
SET @year = 1969, @team_abbr='NYY';
SELECT tm.abbr,
plr.first_name,
plr.last_name,
bat.g,
bat.ab,
bat.r,
bat.h,
bat.d as 2B,
bat.t as 3B,
bat.hr,
bat.rbi,
bat.bb,
bat.ibb,
bat.k,
bat.hp as hpb,
bat.sh,
bat.sf,
bat.sb,
bat.cs,
bat.gdp,
round(bat.h / bat.ab, 3) as ba,
round((bat.h + bat.bb + bat.hp) / (bat.h + bat.bb + bat.hp + bat.sh + bat.sf), 3) as obp,
round((bat.h + bat.d + 2 * bat.t + 3 * bat.hr) / ab, 3) as slg,
fld.position,
fld.g
FROM `modern-ish-baseball`.teams tm
LEFT JOIN players_career_batting_stats bat
ON bat.team_id = tm.team_id
LEFT JOIN players plr
ON plr.player_id = bat.player_id
LEFT JOIN players_career_fielding_stats fld
ON fld.player_id = plr.player_id and fld.year = @year and bat.team_id = fld.team_id
where tm.abbr = @team_abbr
AND bat.year = @year
AND bat.split_id = 1
AND fld.ip = (select max(ip) from `modern-ish-baseball`.players_career_fielding_stats f
WHERE f.year = @year and f.team_id = tm.team_id and f.player_id = plr.player_id)
AND fld.position > 1
ORDER BY position, bat.pa desc
__________________
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12-13-2021, 03:55 PM
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#2 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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Just a quick note on the formatting: I'm using the MySQL workbench to churn this out. I believe if you use the MySQL CLI (command line interpreter) it will push out a little text grid that you should be able to drop straight into a code block without formatting (or, you know, you do whatever if you want to use this to export to an API or a CSV file, etc.).
__________________
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12-13-2021, 04:23 PM
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#3 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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Here's the career totals of Henry Riggs, a guy who is basically Hank Aaron in my league, with the SQL I used to bring him back:
Code:
year team g ab r h 2B 3B hr rbi bb ibb k hpb sh sf sb cs gdp ba obp slg 1954 ATL 70 243 23 66 10 1 4 29 21 2 28 1 0 4 1 0 6 0.272 0.327 0.370 1955 ATL 84 288 31 83 14 1 13 48 23 1 36 2 0 6 0 0 4 0.288 0.339 0.479 1956 ATL 125 454 70 142 21 4 20 64 58 2 32 0 0 4 1 0 13 0.313 0.388 0.509 1957 ATL 152 552 99 182 38 1 23 79 65 4 30 0 0 7 0 0 14 0.330 0.396 0.527 1958 ATL 151 570 98 192 29 2 27 94 77 3 42 0 0 5 0 0 10 0.337 0.413 0.537 1959 ATL 153 577 96 188 28 1 37 96 72 6 47 2 0 4 0 0 11 0.326 0.399 0.570 1960 ATL 140 499 79 173 25 2 24 72 74 12 20 0 0 3 1 1 9 0.347 0.429 0.549 1961 ATL 142 527 94 175 33 1 28 88 76 7 23 1 0 6 2 2 20 0.332 0.413 0.558 1962 ATL 148 540 103 188 26 3 33 92 76 7 21 1 0 4 1 0 12 0.348 0.427 0.591 1963 ATL 113 423 87 144 20 0 37 104 57 2 15 1 0 6 0 2 15 0.340 0.415 0.650 1964 ATL 85 314 63 108 17 1 16 41 39 2 20 1 0 1 0 1 12 0.344 0.417 0.557 1965 ATL 159 558 108 177 17 1 45 116 95 9 29 1 0 5 1 1 16 0.317 0.414 0.593 1966 ATL 157 573 111 191 21 0 44 119 88 9 38 0 0 4 1 4 14 0.333 0.420 0.600 1967 ATL 127 465 79 136 17 0 29 72 69 12 40 1 0 5 0 0 12 0.292 0.381 0.516 1968 ATL 157 563 86 149 22 4 25 77 74 6 56 3 0 6 1 0 15 0.265 0.350 0.451 1969 ATL 112 397 78 131 15 0 32 79 79 7 26 1 0 5 0 0 8 0.330 0.438 0.610 Totals 2075 7543 1305 2425 353 22 437 1270 1043 91 503 15 0 75 9 11 191 0.321 0.401 0.548 Code:
set @player_id = 7620;
SELECT
bat.year,
tm.abbr as team,
bat.g,
bat.ab,
bat.r,
bat.h,
bat.d as 2B,
bat.t as 3B,
bat.hr,
bat.rbi,
bat.bb,
bat.ibb,
bat.k,
bat.hp as hpb,
bat.sh,
bat.sf,
bat.sb,
bat.cs,
bat.gdp,
round(bat.h / bat.ab, 3) as ba,
round((bat.h + bat.bb + bat.hp) / (bat.pa), 3) as obp,
round((bat.h + bat.d + 2 * bat.t + 3 * bat.hr) / ab, 3) as slg
FROM `modern-ish-baseball`.players_career_batting_stats bat
LEFT JOIN teams tm
on tm.team_id = bat.team_id
where player_id = @player_id
and tm.league_id = 100
and split_id = 1
UNION
SELECT
"Totals",
'',
sum(bat.g),
sum(bat.ab),
sum(bat.r),
sum(bat.h),
sum(bat.d),
sum(bat.t),
sum(bat.hr),
sum(bat.rbi),
sum(bat.bb),
sum(bat.ibb),
sum(bat.k),
sum(bat.hp),
sum(bat.sh),
sum(bat.sf),
sum(bat.sb),
sum(bat.cs),
sum(bat.gdp),
round((sum(bat.h)) / (sum(bat.ab)), 3),
round((sum(bat.h) + sum(bat.bb) + sum(bat.hp)) / (sum(bat.pa)), 3) as obp,
round((sum(bat.h) + sum(bat.d) + 2 * sum(bat.t) + 3 * sum(bat.hr)) / sum(bat.ab), 3) as slg
FROM `modern-ish-baseball`.players_career_batting_stats bat
LEFT JOIN teams tm
on tm.team_id = bat.team_id
where player_id = @player_id
and tm.league_id = 100
and split_id = 1
GROUP BY player_id
__________________
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12-13-2021, 04:59 PM
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#4 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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...and the team pitching breakdown, sorted by IP. As before I used the layout, more or less, of the Great American Baseball Stat Book from the 80s, although here I stuck decisions and saves in the front rather than the back. This team by the way is the Atlanta Braves, who just clinched the playoffs in my league for the first time in franchise history.
Code:
w l Pct Sv era g gs cg sho gf ip bfp h r er hr sh sf hp bb ibb so wp bk Hper9 HRper9 BBer9 Kper9 George House 21 8 0.724 0 2.70 34 34 11 3 0 256.2 1038 251 87 77 17 15 8 15 49 5 175 3 0 8.8 0.6 1.7 6.1 Trevon Dean 21 5 0.808 0 3.58 31 31 9 5 0 233.2 959 207 101 93 15 8 7 10 81 2 112 7 0 8.0 0.6 3.1 4.3 Felix Carranza 9 15 0.375 0 4.38 32 31 6 3 1 213.2 909 227 125 104 21 20 3 11 57 4 116 9 0 9.6 0.9 2.4 4.9 Kevin Pennock 18 7 0.720 0 2.98 30 25 3 0 3 190.1 798 181 71 63 10 9 3 8 61 2 84 10 0 8.6 0.5 2.9 4.0 John Winn 7 4 0.636 25 1.96 62 0 0 0 55 87.1 342 67 21 19 5 5 3 1 20 4 95 2 0 6.9 0.5 2.1 9.8 Jake Cari 4 3 0.571 0 3.61 29 9 2 1 8 77.1 322 65 33 31 5 5 2 1 37 5 43 1 0 7.6 0.6 4.3 5.0 Seth Cokely 3 2 0.600 0 3.83 15 5 2 0 5 51.2 220 52 24 22 4 4 1 0 25 1 12 1 0 9.1 0.7 4.4 2.1 Andres Rivera 1 1 0.500 3 5.55 44 0 0 0 23 48.2 206 53 31 30 9 1 4 2 11 3 32 1 0 9.8 1.7 2.0 5.9 Chris Wilson 2 4 0.333 0 5.63 12 4 0 0 2 38.1 163 42 24 24 7 2 3 0 18 0 20 0 0 9.9 1.6 4.2 4.7 Nate Dolezal 3 2 0.600 0 6.10 11 3 0 0 5 31.0 137 30 28 21 5 2 3 1 16 2 22 1 0 8.7 1.5 4.6 6.4 Scott Richey 0 1 0.000 0 5.60 20 0 0 0 8 27.1 123 34 19 17 2 1 3 0 12 0 14 1 1 11.2 0.7 4.0 4.6 Ethan Fair 0 3 0.000 0 6.23 6 4 0 0 0 26.0 121 30 23 18 5 2 2 2 16 0 11 1 0 10.4 1.7 5.5 3.8 Tyler Painter 1 0 1.000 1 3.97 14 0 0 0 6 22.2 111 23 15 10 1 0 2 1 23 0 17 0 0 9.1 0.4 9.1 6.8 Mickael Diot 0 3 0.000 0 4.29 3 3 0 0 0 21.0 88 25 11 10 4 1 2 1 5 3 13 2 0 10.7 1.7 2.1 5.6 Roger Evans 1 2 0.333 0 4.71 15 1 0 0 2 21.0 99 21 13 11 0 1 0 2 13 1 13 2 0 9.0 0.0 5.6 5.6 Tony Morales 0 1 0.000 0 5.50 5 2 0 0 1 18.0 76 13 11 11 5 0 0 0 8 0 11 0 0 6.5 2.5 4.0 5.5 Paul Hibbert 0 1 0.000 0 5.71 7 1 0 0 1 17.1 70 15 12 11 4 0 0 0 3 0 15 1 0 7.8 2.1 1.6 7.8 Mike Lambert 0 1 0.000 0 7.50 1 1 0 0 0 6.0 30 9 5 5 0 0 1 0 4 0 1 1 0 13.5 0.0 6.0 1.5 Victor Reyes 1 0 1.000 0 9.95 5 0 0 0 2 6.1 27 7 7 7 1 0 1 0 2 0 2 0 0 9.9 1.4 2.8 2.8 Damian Seja 0 0 0 3.00 1 1 0 0 0 3.0 11 3 1 1 0 0 0 0 0 0 3 0 0 9.0 0.0 0.0 9.0 Carlos Ortiz 0 0 0 0.00 1 0 0 0 0 2.0 7 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 Rick Shattuck 0 0 0 0.00 1 0 0 0 0 0.2 2 1 0 0 0 0 0 0 0 0 0 0 0 13.5 0.0 0.0 0.0 Code:
SET @year = 1969, @team_abbr='ATL';
SELECT
plr.first_name,
plr.last_name,
pit.w,
pit.l,
round(pit.w / (pit.w + pit.l), 3) as Pct,
pit.s as Sv,
round((pit.er * 9) / (pit.ip + (pit.ipf / 3)), 2) as era,
pit.g,
pit.gs,
pit.cg,
pit.sho,
pit.gf,
concat(pit.ip, ".", pit.ipf) as ip,
(pit.ab + pit.bb + pit.hp) as bfp,
pit.ha as h,
pit.r,
pit.er,
pit.hra as hr,
pit.sh,
pit.sf,
pit.hp,
pit.bb,
pit.iw as ibb,
pit.k as so,
pit.wp,
pit.bk,
round(ha / (ip + ipf / 3) * 9,1) as Hper9,
round(hra / (ip + ipf / 3) * 9,1) as HRper9,
round(bb / (ip + ipf / 3) * 9,1) as BBer9,
round(k / (ip + ipf / 3) * 9,1) as Kper9
FROM `modern-ish-baseball`.players_career_pitching_stats pit
LEFT JOIN players plr
on plr.player_id = pit.player_id
LEFT JOIN teams tm
on pit.team_id = tm.team_id
WHERE year = @year
and tm.abbr = @team_abbr
and split_id = 1
order by pit.ip desc
I know WHIP was super popular at around this time too so I considered adding it but... I never used it so I did not. The rates per 9 were not a part of the GABSB but I like them as a quick way to suss out peripherals so I added them, too.
__________________
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12-13-2021, 05:13 PM
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#5 |
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Global Moderator
Join Date: May 2002
Posts: 4,957
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Thanks for the SQL lesson, I figure there will be some folks that will enjoy it.
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12-13-2021, 05:23 PM
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#6 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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Oh yeah, one thing I did consider adding in just to show how to do it was ERA-; however, the league is still in progress (although it's late September) and it doesn't look like the game passes down league totals until the season's over.
__________________
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12-13-2021, 05:29 PM
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#7 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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Here's a quick and dirty one for standings. Actually I'd love to put some more expanded data, like team runs scored and allowed, but as before this data won't get pushed into the DB until the season is over...
This is the American League West, home of more or less the only really close pennant race in my league (both NL teams have clinched and the Cleveland Indians lead the AL East by a relatively comfortable 5 games, although they still haven't quite clinched yet). Code:
name w l gb pct Minnesota Twins 88 66 0 0.5714 Chicago White Sox 86 68 2 0.5584 California Angels 78 76 10 0.5065 Kansas City Royals 67 87 21 0.4351 Seattle Pilots 64 90 24 0.4156 Oakland Athletics 47 107 41 0.3052 Code:
set @subleague = 0, @division=1;
SELECT concat(tm.name, ' ', tm.nickname) as name,
tr.w,
tr.l,
tr.gb,
tr.pct
FROM `modern-ish-baseball`.teams tm
LEFT JOIN team_record tr
on tr.team_id = tm.team_id
where
tm.league_id = 100
and tm.sub_league_id = @subleague
and tm.division_id = @division
order by gb
Oh, also, your league_id 100 team is going to be the first league you created. Unless you did something screwy with your league setup, you can probably get away with hardcoding that...
__________________
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12-13-2021, 05:30 PM
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#8 | ||
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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Quote:
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12-14-2021, 06:47 PM
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#9 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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Okay, so next up are individual pitching career marks. I thought this would be harder than it wound up being, and had an idea that I was going to break things down a bit and try and demonstrate how you can develop around the limitations of SQL (the big one being, no real way to debug). However, I mathed the field I needed to math out (innings pitched) without having to break stuff down. I have an idea for breaking stuff apart next, however.
Anyway, this is Braves pitcher George House, who will at least be up for the NL Cy Young this season, along with the SQL: Code:
ATL 1967 5 5 0.500 1 3.67 25 5 1 0 12 73.2 296 67 30 30 6 2 4 2 25 3 63 3 0 8.2 0.7 3.1 7.7 ATL 1968 16 7 0.696 0 1.99 31 31 5 0 0 231.0 899 178 62 51 18 11 8 8 49 5 184 9 0 6.9 0.7 1.9 7.2 ATL 1969 21 8 0.724 0 2.70 34 34 11 3 0 256.2 1038 251 87 77 17 15 8 15 49 5 175 3 0 8.8 0.6 1.7 6.1 Totals 42 20 0.677 1 2.53 90 70 17 3 12 561.1 2233 496 179 158 41 28 20 25 123 13 422 15 0 8.0 0.7 2.0 6.8 Code:
SET @player_id = 14787;
SELECT
tm.abbr,
pit.year,
pit.w,
pit.l,
round(pit.w / (pit.w + pit.l), 3) as Pct,
pit.s as Sv,
round((pit.er * 9) / (pit.ip + (pit.ipf / 3)), 2) as era,
pit.g,
pit.gs,
pit.cg,
pit.sho,
pit.gf,
concat(pit.ip, ".", pit.ipf) as ip,
(pit.ab + pit.bb + pit.hp) as bfp,
pit.ha as h,
pit.r,
pit.er,
pit.hra as hr,
pit.sh,
pit.sf,
pit.hp,
pit.bb,
pit.iw as ibb,
pit.k as so,
pit.wp,
pit.bk,
round(ha / (ip + ipf / 3) * 9,1) as Hper9,
round(hra / (ip + ipf / 3) * 9,1) as HRper9,
round(bb / (ip + ipf / 3) * 9,1) as BBer9,
round(k / (ip + ipf / 3) * 9,1) as Kper9
FROM `modern-ish-baseball`.players_career_pitching_stats pit
LEFT JOIN players plr
on plr.player_id = pit.player_id
LEFT JOIN teams tm
on pit.team_id = tm.team_id
WHERE pit.player_id = @player_id
and split_id = 1
and pit.league_id = 100
UNION
SELECT
'Totals',
'',
sum(pit.w),
sum(pit.l),
round(sum(pit.w) / (sum(pit.w) + sum(pit.l)), 3),
sum(pit.s),
round(sum(pit.er) / (sum(pit.ip) + sum(pit.ipf) / 3) * 9, 2),
sum(pit.g),
sum(pit.gs),
sum(pit.cg),
sum(pit.sho),
sum(pit.gf),
concat(sum(ip) + floor(sum(ipf) / 3),'.', sum(ipf) % 3),
sum(pit.ab) + sum(pit.bb) + sum(pit.hp),
sum(pit.ha),
sum(pit.r),
sum(pit.er),
sum(pit.hra),
sum(pit.sh),
sum(pit.sf),
sum(pit.hp),
sum(pit.bb),
sum(pit.iw),
sum(pit.k),
sum(pit.wp),
sum(pit.bk),
round(sum(pit.ha) / (sum(pit.ip) + sum(pit.ipf) / 3) * 9,1),
round(sum(pit.hra) / (sum(pit.ip) + sum(pit.ipf) / 3) * 9,1),
round(sum(pit.bb) / (sum(pit.ip) + sum(pit.ipf) / 3) * 9,1),
round(sum(pit.k) / (sum(pit.ip) + sum(pit.ipf) / 3) * 9,1)
FROM `modern-ish-baseball`.players_career_pitching_stats pit
LEFT JOIN players plr
on plr.player_id = pit.player_id
LEFT JOIN teams tm
on pit.team_id = tm.team_id
WHERE pit.player_id = @player_id
and split_id = 1
and pit.league_id = 100
group by pit.player_id
For innings pitched, if you'll remember from the team report we have two numbers: IP and IPF (fractions of an inning), and the way we lay out baseball IP is {inning}.{fraction}. This is easy enough to break down for one season but what about when you have a guy who's pitched 450 innings and 5 inning-fractions? The math above show how but just to break it down.... Innings = Innings (duh) + fractions divided by 3, rounded down. In mySQL the floor() function takes a decimal number and just lops off everything after the decimal point (i.e. rounding down). Fractions = the remainder of fractions divided by 3. In coding and I don't know, maybe in math too, we call the remainder the modulus and use the % key to figure it out. Also very useful for figuring average-and-over for you 19th century players!
__________________
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12-14-2021, 07:41 PM
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#10 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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All right, so with all that out of the way I wanted to try to get a little more complicated. First up, wouldn't it be cool if we could add a little asterisk next to all of the seasons where Henry Riggs made the All-Star Game? Okay though, how do we do this? It turns out, there is a league_history_all_star table that looks like it is pretty much exactly what you'd expect it to be. This time I'm going to list the SQL first before the results since I think reading through the SQL will make them make more sense:
Code:
SELECT * FROM `modern-ish-baseball`.league_history_all_star asg where asg.all_star = 7620; Code:
league sub year aspos all_star 100 1 1956 33 7620 100 1 1957 34 7620 100 1 1958 30 7620 100 1 1959 27 7620 100 1 1960 26 7620 100 1 1961 25 7620 100 1 1962 25 7620 100 1 1963 18 7620 100 1 1964 10 7620 100 1 1965 13 7620 100 1 1966 9 7620 100 1 1967 6 7620 100 1 1968 3 7620 Code:
SELECT asg.year FROM `modern-ish-baseball`.league_history_all_star asg where asg.all_star = 7620 and asg.league_id = 100; Code:
year 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 In any case, this is the test subject I'm going to use. In real life programming you'd have several of these, you'd probably automate them (writing code that would evaluate the data you got back to confirm you're seeing what you're supposed to see), and then you'd have a QA department doing its own testing. But hey, for personal use, this should be fine... All right, so this won't be the end result but just to test this out, let's tell our career batting report to only bring back years in which Riggs made the All Star Game... actually, no, first I'm going to get even simpler. I feel like it's best when you're doing relatively complicated things like this to break things off into the smallest pieces you can, test the tiny increment you did, go ahead the next little increment test it to make sure that *that* works, and so on and so forth. This may sound kind of slow but trust me, this is way, way better than writing a whole bunch of code you think works only to find out that you made some very basic error in step 3 out of 50. With SQL it's even worse because you can't really step through your code to figure this out, but I do the equivalent of this in "normal" code all the time. If anything it winds up speeding things up, in part because if you really get to thinking about breaking things down into the tiniest components you can, you free your brain to only having to have one small thing to think about instead of a much larger picture. All of that is to say, let's bring back only... the year 1968. Let's just do one year for now; multiple years are a little tricky to hardcode, and we'll be able to bootstrap the final deal off of this anyway. I won't copy and paste the whole thing because y'all don't need to read all that but here's the relevant portion (there "where"): Code:
where player_id = @player_id and tm.league_id = 100 and split_id = 1 and bat.year in ( select 1968) Code:
year team g ab r h 2B 3B hr rbi bb ibb k hpb sh sf sb cs gdp ba obp slg 1968 ATL 157 563 86 149 22 4 25 77 74 6 56 3 0 6 1 0 15 0.265 0.350 0.451 Totals 2075 7543 1305 2425 353 22 437 1270 1043 91 503 15 0 75 9 11 191 0.321 0.401 0.548 Code:
where player_id = @player_id and tm.league_id = 100 and split_id = 1 and bat.year in ( SELECT asg.year FROM `modern-ish-baseball`.league_history_all_star asg where asg.all_star = @player_id and asg.league_id = 100 ) Code:
year team g ab r h 2B 3B hr rbi bb ibb k hpb sh sf sb cs gdp ba obp slg 1956 ATL 125 454 70 142 21 4 20 64 58 2 32 0 0 4 1 0 13 0.313 0.388 0.509 1957 ATL 152 552 99 182 38 1 23 79 65 4 30 0 0 7 0 0 14 0.330 0.396 0.527 1958 ATL 151 570 98 192 29 2 27 94 77 3 42 0 0 5 0 0 10 0.337 0.413 0.537 1959 ATL 153 577 96 188 28 1 37 96 72 6 47 2 0 4 0 0 11 0.326 0.399 0.570 1960 ATL 140 499 79 173 25 2 24 72 74 12 20 0 0 3 1 1 9 0.347 0.429 0.549 1961 ATL 142 527 94 175 33 1 28 88 76 7 23 1 0 6 2 2 20 0.332 0.413 0.558 1962 ATL 148 540 103 188 26 3 33 92 76 7 21 1 0 4 1 0 12 0.348 0.427 0.591 1963 ATL 113 423 87 144 20 0 37 104 57 2 15 1 0 6 0 2 15 0.340 0.415 0.650 1964 ATL 85 314 63 108 17 1 16 41 39 2 20 1 0 1 0 1 12 0.344 0.417 0.557 1965 ATL 159 558 108 177 17 1 45 116 95 9 29 1 0 5 1 1 16 0.317 0.414 0.593 1966 ATL 157 573 111 191 21 0 44 119 88 9 38 0 0 4 1 4 14 0.333 0.420 0.600 1967 ATL 127 465 79 136 17 0 29 72 69 12 40 1 0 5 0 0 12 0.292 0.381 0.516 1968 ATL 157 563 86 149 22 4 25 77 74 6 56 3 0 6 1 0 15 0.265 0.350 0.451 Totals 2075 7543 1305 2425 353 22 437 1270 1043 91 503 15 0 75 9 11 191 0.321 0.401 0.548 Anyway though, we don't want to bring back *only* years where Riggs made the ASG, we want to add a star to the end of the year where that's the case. So, let's go ahead and yoink that nested SELECT from the WHERE clause and go up to at-bats. Adding an asterisk is pretty simple and we've basically done something similar with innings pitched: Code:
concat(bat.year, '*') as year, So... in order to make the asterisk appear on some items and not others, we've got to use an IF() statement. I looked this up on w3schools - I work with MS-SQL, not mySQL, and sometimes the syntax is a little different - and this is the format you have to use: SELECT IF(500<1000, "YES", "NO"); So... anything inside of parentheses, we can nest. Again, do NOT attempt to wrap your brain around the entire thing! Anyway, let's add an if statement that's always true into that concat() statement above to make sure everything works right... Code:
concat(bat.year, if(true, "*", "")) as year, NOW FOR THE BIG MONSTER REVEAL... let's take that statement we added to the where clause - all by itself, it essentially returns a "true" or "false" - and see what happens now! Code:
concat(bat.year,
if(bat.year in (SELECT
asg.year
FROM `modern-ish-baseball`.league_history_all_star asg
where
asg.all_star = @player_id
and asg.league_id = 100
),
"*", "")
) as year,
tm.abbr as team,
Code:
year team g ab r h 2B 3B hr rbi bb ibb k hpb sh sf sb cs gdp ba obp slg 1954 ATL 70 243 23 66 10 1 4 29 21 2 28 1 0 4 1 0 6 0.272 0.327 0.370 1955 ATL 84 288 31 83 14 1 13 48 23 1 36 2 0 6 0 0 4 0.288 0.339 0.479 1956* ATL 125 454 70 142 21 4 20 64 58 2 32 0 0 4 1 0 13 0.313 0.388 0.509 1957* ATL 152 552 99 182 38 1 23 79 65 4 30 0 0 7 0 0 14 0.330 0.396 0.527 1958* ATL 151 570 98 192 29 2 27 94 77 3 42 0 0 5 0 0 10 0.337 0.413 0.537 1959* ATL 153 577 96 188 28 1 37 96 72 6 47 2 0 4 0 0 11 0.326 0.399 0.570 1960* ATL 140 499 79 173 25 2 24 72 74 12 20 0 0 3 1 1 9 0.347 0.429 0.549 1961* ATL 142 527 94 175 33 1 28 88 76 7 23 1 0 6 2 2 20 0.332 0.413 0.558 1962* ATL 148 540 103 188 26 3 33 92 76 7 21 1 0 4 1 0 12 0.348 0.427 0.591 1963* ATL 113 423 87 144 20 0 37 104 57 2 15 1 0 6 0 2 15 0.340 0.415 0.650 1964* ATL 85 314 63 108 17 1 16 41 39 2 20 1 0 1 0 1 12 0.344 0.417 0.557 1965* ATL 159 558 108 177 17 1 45 116 95 9 29 1 0 5 1 1 16 0.317 0.414 0.593 1966* ATL 157 573 111 191 21 0 44 119 88 9 38 0 0 4 1 4 14 0.333 0.420 0.600 1967* ATL 127 465 79 136 17 0 29 72 69 12 40 1 0 5 0 0 12 0.292 0.381 0.516 1968* ATL 157 563 86 149 22 4 25 77 74 6 56 3 0 6 1 0 15 0.265 0.350 0.451 1969 ATL 112 397 78 131 15 0 32 79 79 7 26 1 0 5 0 0 8 0.330 0.438 0.610 Totals 2075 7543 1305 2425 353 22 437 1270 1043 91 503 15 0 75 9 11 191 0.321 0.401 0.548 Next up... how about an awards column like they have on BBRef, where it might say "AS, MVP". UGH, this will already be a pain in the butt...
__________________
Quote:
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12-14-2021, 09:25 PM
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#11 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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That awards column
All right, so for starters, we're going to need to get a lay of the land so to speak with the data that we have. There is a table called players_awards that outputs some good data but, well, some of it is in strange formats... here's our good buddy Henry Riggs:
Code:
SELECT * FROM `modern-ish-baseball`.players_awards where league_id = 100 and player_id = 7620; Code:
7620 100 7 1 0 1956 1956 0 14 5 1 7620 100 7 1 9 1956 1956 0 8 7 1 7620 100 7 1 11 1956 1956 9 5 11 1 7620 100 7 1 0 1957 1957 0 13 5 1 7620 100 7 1 9 1957 1957 0 7 7 1 7620 100 7 1 11 1957 1957 9 4 11 1 7620 100 7 1 9 1958 1958 0 6 7 1 7620 100 7 1 0 1958 1958 0 8 9 1 7620 100 7 1 11 1958 1958 9 4 11 1 7620 100 7 1 5 1958 1958 0 8 11 1 7620 100 7 1 0 1959 1959 0 27 4 1 7620 100 7 1 2 1959 1959 0 1 5 1 7620 100 7 1 9 1959 1959 0 5 7 1 7620 100 7 1 2 1959 1959 0 1 9 1 7620 100 7 1 11 1959 1959 9 5 11 1 7620 100 7 1 5 1959 1959 0 9 11 2 7620 100 7 1 9 1960 1960 0 9 7 1 7620 100 7 1 0 1960 1960 0 22 8 1 7620 100 7 1 2 1960 1960 0 1 9 1 7620 100 7 1 0 1960 1960 0 12 9 1 7620 100 7 1 11 1960 1960 9 2 11 1 7620 100 7 1 5 1960 1960 0 6 11 1 7620 100 7 1 9 1961 1961 0 9 7 1 7620 100 7 1 0 1961 1961 0 21 8 1 7620 100 7 1 2 1961 1961 0 1 9 1 7620 100 7 1 2 1961 1961 0 1 10 1 7620 100 7 1 11 1961 1961 9 30 10 1 7620 100 7 1 9 1962 1962 0 8 7 1 7620 100 7 1 0 1962 1962 0 9 7 1 7620 100 7 1 2 1962 1962 0 1 8 1 7620 100 7 1 11 1962 1962 9 8 11 1 7620 100 7 1 0 1963 1963 0 15 4 1 7620 100 7 1 0 1963 1963 0 10 6 1 7620 100 7 1 9 1963 1963 0 7 7 1 7620 100 7 1 11 1963 1963 9 13 11 1 7620 100 7 1 9 1964 1964 0 5 7 1 7620 100 7 1 0 1965 1965 0 28 6 1 7620 100 7 1 2 1965 1965 0 1 7 1 7620 100 7 1 9 1965 1965 0 11 7 1 7620 100 7 1 0 1965 1965 0 19 7 1 7620 100 7 1 0 1965 1965 0 6 9 1 7620 100 7 1 2 1965 1965 0 1 10 1 7620 100 7 1 11 1965 1965 9 25 10 1 7620 100 7 1 5 1965 1965 0 29 10 3 7620 100 7 1 2 1966 1966 0 1 5 1 7620 100 7 1 0 1966 1966 0 30 5 1 7620 100 7 1 2 1966 1966 0 1 6 1 7620 100 7 1 9 1966 1966 0 10 7 1 7620 100 7 1 2 1966 1966 0 1 10 1 7620 100 7 1 11 1966 1966 9 21 10 1 7620 100 7 1 5 1966 1966 0 25 10 1 7620 100 7 1 9 1967 1967 0 9 7 1 7620 100 7 1 0 1967 1967 0 10 7 1 7620 100 7 1 9 1968 1968 0 7 7 1 7620 100 7 1 0 1968 1968 0 29 7 1 7620 100 7 1 0 1969 1969 0 16 6 1 7620 100 7 1 9 1969 1969 0 21 7 1 7620 100 7 1 0 1969 1969 0 1 9 1 0 - Player of the Week (no thanks) 1 - Pitcher of the Month (nah) 2 - Batter of the Month (also no thanks) 4 - Cy Young ("finish" has to = 1) 5 - MVP (also, "finish" has to = 1) 6 - Rookie of the Year ("finish" = 1) 7 - Gold Glove (position is listed) 9 - All-Star (no position listed) 11- Silver Slugger (position is listed) 13 - Reliever of the Year (also needs finalist = 1) 14 - World Series champion (?) 15 - World Series MVP (? but probably not) That seems to run the gamut, or at least encapsulates all the awards I want to use. Okay, so let's start simple. Let's create a data set for Henry Riggs that shows the abbreviation "AS" for every season he went to the ASG... Code:
SELECT year,
'AS'
FROM `modern-ish-baseball`.players_awards awd
where
league_id = 100
and player_id = 7620
and award_id = 9;
Code:
SELECT year,
'SS'
FROM `modern-ish-baseball`.players_awards awd
where
league_id = 100
and player_id = 7620
and award_id = 11;
SELECT year,
'MVP'
FROM `modern-ish-baseball`.players_awards awd
where
league_id = 100
and player_id = 7620
and award_id = 5
and finish = 1;
[code] SELECT year, 'MVP' as mvp, 'AS' as allstar, 'GG' as goldGlove, 'SS' as silverSlugger FROM `modern-ish-baseball`.players_awards awd where league_id = 100 and player_id = 7620 and award_id = 9 and finish = 1; [code] That returns a thing that looks like this: Code:
# year mvp allstar goldGlove silverSlugger 1956 MVP AS GG SS 1957 MVP AS GG SS 1958 MVP AS GG SS 1959 MVP AS GG SS 1960 MVP AS GG SS 1961 MVP AS GG SS 1962 MVP AS GG SS 1963 MVP AS GG SS 1964 MVP AS GG SS 1965 MVP AS GG SS 1966 MVP AS GG SS 1967 MVP AS GG SS 1968 MVP AS GG SS 1969 MVP AS GG SS (also I see that Riggs was awarded with a trip to the game but did not play in it in 1969. BACK TO THE DRAWING BOARD WITH THE PREVIOUS REPORT maybe) Just to make sure I got the syntax right: Code:
SELECT year,
if(false, 'MVP', '') as mvp,
'AS' as allstar,
'GG' as goldGlove,
'SS' as silverSlugger
FROM `modern-ish-baseball`.players_awards awd
where
league_id = 100
and player_id = 7620
and award_id = 9
and finish = 1;
Code:
SET @player_id = 7620;
SELECT awd.year,
if(awd.year in (
select year
FROM `modern-ish-baseball`.players_awards awd
where
league_id = 100
and player_id = 7620
and award_id = 5
and finish = 1
)
,
'MVP', '') as mvp,
'AS' as allstar,
'GG' as goldGlove,
'SS' as silverSlugger
FROM `modern-ish-baseball`.players_awards awd
where
awd.league_id = 100
and awd.player_id = player_id;
Code:
SET @player_id = 7620;
SELECT awdYears.year as awardYear,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards awd
where
league_id = 100
and player_id = 7620
and award_id = 5
and finish = 1
)
,
'MVP', '') as mvp,
'AS' as allstar,
'GG' as goldGlove,
'SS' as silverSlugger
FROM (SELECT DISTINCT year FROM league_history a) as awdYears
order by awardYear
Code:
# awardYear mvp allstar goldGlove silverSlugger 1946 AS GG SS 1947 AS GG SS 1948 AS GG SS 1949 AS GG SS 1950 AS GG SS 1951 AS GG SS 1952 AS GG SS 1953 AS GG SS 1954 AS GG SS 1955 AS GG SS 1956 AS GG SS 1957 AS GG SS 1958 MVP AS GG SS 1959 AS GG SS 1960 MVP AS GG SS 1961 AS GG SS 1962 AS GG SS 1963 AS GG SS 1964 AS GG SS 1965 AS GG SS 1966 MVP AS GG SS 1967 AS GG SS 1968 AS GG SS 1969 AS GG SS *I should talk about "join" statements... which I'd totally do except that basically everyone just uses LEFT JOIN and if you use anything else and it's not the year 1982 or earlier you are a bad person and should feel bad. All right, though! So let's add in our code for the other 3 awards (and please note that I went through this one award at a time. I found an issue in there but I think it was related to my cutting the wrong part of code so I won't go through that except to re-re-re-re-reiterate that small chunks = the best. The other nice thing about small chunks is that if you mess something up and can't work your way out of it, you can just undo everything you did up to the point of your last successful run.) Code:
SET @player_id = 7620;
SELECT awdYears.year as awardYear,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards ma
where
ma.league_id = 100
and ma.player_id = @player_id
and ma.award_id = 5
and ma.finish = 1
),
'MVP', '') as mvp,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards aa
where
aa.league_id = 100
and aa.player_id = @player_id
and aa.award_id = 9
),
'AS', '') as allstar,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards aa
where
aa.league_id = 100
and aa.player_id = @player_id
and aa.award_id = 7
),
'GG', '') as goldglove,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards aa
where
aa.league_id = 100
and aa.player_id = @player_id
and aa.award_id = 11
),
'SS', '') as silverslugger
FROM (SELECT DISTINCT a.year FROM league_history a) as awdYears
order by awardYear
Code:
year mvp as gs ss 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 AS SS 1957 AS SS 1958 MVP AS SS 1959 AS SS 1960 MVP AS SS 1961 AS SS 1962 AS SS 1963 AS SS 1964 AS 1965 AS SS 1966 MVP AS SS 1967 AS 1968 AS 1969 AS Anyway, after doing a bit of further research into what I'm trying to do, I realized that I need to put null values into unused rows rather than empty strings. There's a particular function you can use in MySQL called concat_ws() that will allow us to link up all of these columns but ignore it when there are no values present. The syntax looks like this: SELECT CONCAT_WS("-", "SQL", "Tutorial", "is", "fun!") AS ConcatenatedString; OK! So... let's quickly create a table that looks like the end result should look, kind of... Code:
SELECT
awdYears.year,
(select
CONCAT_WS(",", awards.mvp, awards.allstar, awards.gold, awards.silver)
from ( select 'MVP' as mvp, 'AS' as allstar, null as gold, 'SS' as silver) as awards) as awards
FROM (SELECT DISTINCT a.year FROM league_history a) as awdYears
Code:
SET @player_id = 7620;
SELECT
awdYears.year,
(select
CONCAT_WS(",", awards.mvp, awards.allstar, awards.goldglove, awards.silverslugger)
from
(SELECT awdYears.year as awardYear,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards ma
where
ma.league_id = 100
and ma.player_id = @player_id
and ma.award_id = 5
and ma.finish = 1
),
'MVP', null) as mvp,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards aa
where
aa.league_id = 100
and aa.player_id = @player_id
and aa.award_id = 9
),
'AS', null) as allstar,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards aa
where
aa.league_id = 100
and aa.player_id = @player_id
and aa.award_id = 7
),
'GG', null) as goldglove,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards aa
where
aa.league_id = 100
and aa.player_id = @player_id
and aa.award_id = 11
),
'SS', null) as silverslugger
FROM (SELECT DISTINCT a.year FROM league_history a) as awdYears
) as awards where awards.awardyear = awdYears.year
) as awards
FROM (SELECT DISTINCT a.year FROM league_history a) as awdYears;
Code:
1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 AS,SS 1957 AS,SS 1958 MVP,AS,SS 1959 AS,SS 1960 MVP,AS,SS 1961 AS,SS 1962 AS,SS 1963 AS,SS 1964 AS 1965 AS,SS 1966 MVP,AS,SS 1967 AS 1968 AS 1969 AS
__________________
Quote:
Last edited by Syd Thrift; 12-14-2021 at 09:33 PM. |
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12-14-2021, 09:36 PM
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#12 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
|
I'm about SQLed out for the night but here's the final draft of the awards string... it includes MVP, Cy, ROY, All-Star, Gold Glove, Silver Slugger, and Reliever of the Year (which I call the Rolaids Relief award and which is nicknamed "RR" here):
Code:
SET @player_id = 7616;
SELECT
awdYears.year,
(select
CONCAT_WS(",", awards.mvp, awards.cy_young, awards.roy, awards.allstar, awards.goldglove, awards.silverslugger, awards.rolaids)
from
(SELECT awdYears.year as awardYear,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards ma
where
ma.league_id = 100
and ma.player_id = @player_id
and ma.award_id = 5
and ma.finish = 1
),
'MVP', null) as mvp,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards ma
where
ma.league_id = 100
and ma.player_id = @player_id
and ma.award_id = 4
and ma.finish = 1
),
'CY', null) as cy_young,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards ma
where
ma.league_id = 100
and ma.player_id = @player_id
and ma.award_id = 6
and ma.finish = 1
),
'ROY', null) as roy,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards aa
where
aa.league_id = 100
and aa.player_id = @player_id
and aa.award_id = 9
),
'AS', null) as allstar,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards aa
where
aa.league_id = 100
and aa.player_id = @player_id
and aa.award_id = 7
),
'GG', null) as goldglove,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards aa
where
aa.league_id = 100
and aa.player_id = @player_id
and aa.award_id = 11
),
'SS', null) as silverslugger,
if(awdYears.year in (
select year
FROM `modern-ish-baseball`.players_awards ma
where
ma.league_id = 100
and ma.player_id = @player_id
and ma.award_id = 13
and ma.finish = 1
),
'RR', null) as rolaids
FROM (SELECT DISTINCT a.year FROM league_history a) as awdYears
) as awards where awards.awardyear = awdYears.year
) as awardString
FROM (SELECT DISTINCT a.year FROM league_history a) as awdYears;
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12-15-2021, 10:47 AM
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#13 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
|
Just a couple of quick bits:
For the team batting report I used a switch/case statement (I guess in SQL it's just a CASE) to change the position IDs to position names, and I also added a filter for positions so if you really want to output pitcher hitting you can. The whole code below: Code:
SET @year = 1969, @team_abbr='NYY', @positions='3,4,5,6';
SELECT
CASE
WHEN fld.position = 2 THEN "C"
WHEN fld.position = 3 THEN "1B"
WHEN fld.position = 4 THEN "2B"
WHEN fld.position = 5 THEN "3B"
WHEN fld.position = 6 THEN "SS"
WHEN fld.position = 7 THEN "LF"
WHEN fld.position = 8 THEN "CF"
WHEN fld.position = 9 THEN "RF"
ELSE "DH"
END as pos,
plr.first_name,
plr.last_name,
bat.g,
bat.ab,
bat.r,
bat.h,
bat.d as 2B,
bat.t as 3B,
bat.hr,
bat.rbi,
bat.bb,
bat.ibb,
bat.k,
bat.hp as hpb,
bat.sh,
bat.sf,
bat.sb,
bat.cs,
bat.gdp,
round(bat.h / bat.ab, 3) as ba,
round((bat.h + bat.bb + bat.hp) / (bat.h + bat.bb + bat.hp + bat.sh + bat.sf), 3) as obp,
round((bat.h + bat.d + 2 * bat.t + 3 * bat.hr) / ab, 3) as slg
FROM `modern-ish-baseball`.teams tm
LEFT JOIN players_career_batting_stats bat
ON bat.team_id = tm.team_id
LEFT JOIN players plr
ON plr.player_id = bat.player_id
LEFT JOIN players_career_fielding_stats fld
ON fld.player_id = plr.player_id and fld.year = @year and bat.team_id = fld.team_id
where tm.abbr = @team_abbr
AND bat.year = @year
AND bat.split_id = 1
AND fld.ip = (select max(ip) from `modern-ish-baseball`.players_career_fielding_stats f
WHERE f.year = @year and f.team_id = tm.team_id and f.player_id = plr.player_id)
AND find_in_set(fld.position, @positions)
ORDER BY fld.position, bat.pa desc
Code:
+ -------- + --------------- + -------------- + ------ + ------- + ------ + ------ + ------- + ------- + ------- + -------- + ------- + -------- + ------ + -------- + ------- + ------- + ------- + ------- + -------- + ------- + -------- + -------- + | pos | first_name | last_name | g | ab | r | h | 2B | 3B | hr | rbi | bb | ibb | k | hpb | sh | sf | sb | cs | gdp | ba | obp | slg | + -------- + --------------- + -------------- + ------ + ------- + ------ + ------ + ------- + ------- + ------- + -------- + ------- + -------- + ------ + -------- + ------- + ------- + ------- + ------- + -------- + ------- + -------- + -------- + | 1B | Justin | Richens | 63 | 231 | 34 | 71 | 17 | 2 | 9 | 26 | 41 | 3 | 14 | 6 | 0 | 5 | 0 | 0 | 6 | 0.307 | 0.959 | 0.515 | | 1B | Jose | Ayala | 51 | 193 | 24 | 55 | 9 | 0 | 5 | 23 | 13 | 2 | 34 | 1 | 0 | 4 | 2 | 0 | 10 | 0.285 | 0.945 | 0.409 | | 1B | John | Chapman | 60 | 138 | 13 | 31 | 6 | 0 | 3 | 14 | 26 | 1 | 16 | 1 | 0 | 2 | 0 | 0 | 0 | 0.225 | 0.967 | 0.333 | | 1B | Bobby | Berg | 12 | 23 | 7 | 8 | 2 | 0 | 2 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.348 | 1.000 | 0.696 | | 2B | Wing-fung | Yi | 105 | 383 | 44 | 117 | 17 | 6 | 6 | 45 | 67 | 5 | 29 | 2 | 0 | 3 | 12 | 15 | 4 | 0.305 | 0.984 | 0.428 | | 2B | Elijah | Patton | 38 | 92 | 10 | 19 | 4 | 0 | 0 | 12 | 9 | 3 | 13 | 0 | 0 | 2 | 0 | 1 | 5 | 0.207 | 0.933 | 0.250 | | 2B | Chris | Eckert | 16 | 33 | 4 | 7 | 1 | 0 | 0 | 3 | 4 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 2 | 0.212 | 1.000 | 0.242 | | 2B | Nate | Lieb | 3 | 9 | 1 | 2 | 0 | 0 | 1 | 2 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222 | 1.000 | 0.556 | | 3B | Tom | Weiss | 128 | 423 | 62 | 115 | 12 | 2 | 17 | 69 | 60 | 3 | 38 | 7 | 1 | 3 | 0 | 0 | 8 | 0.272 | 0.978 | 0.430 | | 3B | David | Salinas | 49 | 169 | 14 | 36 | 5 | 0 | 1 | 18 | 15 | 0 | 12 | 1 | 0 | 2 | 2 | 2 | 8 | 0.213 | 0.963 | 0.260 | | SS | Ty | Stover | 146 | 530 | 85 | 127 | 24 | 6 | 25 | 92 | 96 | 1 | 105 | 3 | 0 | 7 | 1 | 1 | 19 | 0.240 | 0.970 | 0.449 | | SS | Jason | Wichert | 28 | 72 | 4 | 14 | 2 | 0 | 0 | 6 | 3 | 0 | 18 | 0 | 0 | 2 | 1 | 0 | 2 | 0.194 | 0.895 | 0.222 | | SS | Chris | Grube | 10 | 28 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036 | 1.000 | 0.036 | + -------- + --------------- + -------------- + ------ + ------- + ------ + ------ + ------- + ------- + ------- + -------- + ------- + -------- + ------ + -------- + ------- + ------- + ------- + ------- + -------- + ------- + -------- + -------- + concat(plr.first_name, ' ', plr.last_name) as name, Gives you this: Code:
+ -------- + --------- + ------ + ------- + ------ + ------ + ------- + ------- + ------- + -------- + ------- + -------- + ------ + -------- + ------- + ------- + ------- + ------- + -------- + ------- + -------- + -------- + | pos | name | g | ab | r | h | 2B | 3B | hr | rbi | bb | ibb | k | hpb | sh | sf | sb | cs | gdp | ba | obp | slg | + -------- + --------- + ------ + ------- + ------ + ------ + ------- + ------- + ------- + -------- + ------- + -------- + ------ + -------- + ------- + ------- + ------- + ------- + -------- + ------- + -------- + -------- + | 1B | Justin Richens | 63 | 231 | 34 | 71 | 17 | 2 | 9 | 26 | 41 | 3 | 14 | 6 | 0 | 5 | 0 | 0 | 6 | 0.307 | 0.959 | 0.515 | | 1B | Jose Ayala | 51 | 193 | 24 | 55 | 9 | 0 | 5 | 23 | 13 | 2 | 34 | 1 | 0 | 4 | 2 | 0 | 10 | 0.285 | 0.945 | 0.409 | | 1B | John Chapman | 60 | 138 | 13 | 31 | 6 | 0 | 3 | 14 | 26 | 1 | 16 | 1 | 0 | 2 | 0 | 0 | 0 | 0.225 | 0.967 | 0.333 | | 1B | Bobby Berg | 12 | 23 | 7 | 8 | 2 | 0 | 2 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.348 | 1.000 | 0.696 | | 2B | Wing-fung Yi | 105 | 383 | 44 | 117 | 17 | 6 | 6 | 45 | 67 | 5 | 29 | 2 | 0 | 3 | 12 | 15 | 4 | 0.305 | 0.984 | 0.428 | | 2B | Elijah Patton | 38 | 92 | 10 | 19 | 4 | 0 | 0 | 12 | 9 | 3 | 13 | 0 | 0 | 2 | 0 | 1 | 5 | 0.207 | 0.933 | 0.250 | | 2B | Chris Eckert | 16 | 33 | 4 | 7 | 1 | 0 | 0 | 3 | 4 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 2 | 0.212 | 1.000 | 0.242 | | 2B | Nate Lieb | 3 | 9 | 1 | 2 | 0 | 0 | 1 | 2 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222 | 1.000 | 0.556 | | 3B | Tom Weiss | 128 | 423 | 62 | 115 | 12 | 2 | 17 | 69 | 60 | 3 | 38 | 7 | 1 | 3 | 0 | 0 | 8 | 0.272 | 0.978 | 0.430 | | 3B | David Salinas | 49 | 169 | 14 | 36 | 5 | 0 | 1 | 18 | 15 | 0 | 12 | 1 | 0 | 2 | 2 | 2 | 8 | 0.213 | 0.963 | 0.260 | | SS | Ty Stover | 146 | 530 | 85 | 127 | 24 | 6 | 25 | 92 | 96 | 1 | 105 | 3 | 0 | 7 | 1 | 1 | 19 | 0.240 | 0.970 | 0.449 | | SS | Jason Wichert | 28 | 72 | 4 | 14 | 2 | 0 | 0 | 6 | 3 | 0 | 18 | 0 | 0 | 2 | 1 | 0 | 2 | 0.194 | 0.895 | 0.222 | | SS | Chris Grube | 10 | 28 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036 | 1.000 | 0.036 | + -------- + --------- + ------ + ------- + ------ + ------ + ------- + ------- + ------- + -------- + ------- + -------- + ------ + -------- + ------- + ------- + ------- + ------- + -------- + ------- + -------- + -------- +
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Last edited by Syd Thrift; 12-15-2021 at 11:00 AM. |
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08-09-2023, 09:21 PM
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#14 |
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Minors (Rookie Ball)
Join Date: Jul 2017
Posts: 22
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SQL Fields
Hey, this thread is great! Do you have a reference to what fields are in each of the SQL tables? I'm starting to poke around now but it would be easier to know what each table is holding.
Thanks! |
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01-18-2024, 06:48 PM
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#15 | ||
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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Quote:
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01-18-2024, 07:20 PM
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#16 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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I've changed up the way I do the "reports" part of my dynasty this year and I wanted to share the DB tools I've been using to get that data.
First up, I'm getting the list of the teams in Major League Baseball along with some extra data using this: Code:
select team_id
,name
,nickname
,background_color_id
,text_color_id
from teams
where level = 1
order by name
The next thing I have, which I re-run for every team, is this roster "getter": Code:
set @year = 1972, @team_id = 13;
select distinct tm.team_id
,tr.player_id
,concat(plr.first_name, ' ', plr.last_name) as name
,plr.position
,bat.pa
,pit.ip
from team_roster tr
left join teams tm on tr.team_id = tm.team_id
left join players plr on plr.player_id = tr.player_id
left join players_career_batting_stats bat on bat.player_id = plr.player_id
and bat.year = @year
and bat.split_id = 1
and bat.team_id = tm.team_id
left join players_career_pitching_stats pit on pit.player_id = plr.player_id
and pit.year = @year
and pit.split_id = 1
and pit.team_id = tm.team_id
where tm.team_id = @team_id
order by position, ip desc, pa desc
limit 250
Anyway, because I also wanted a quick and dirty way of seeing IPs and PAs to help determine who I should show data for, I have left joins to the pitcher and batter data as well. Note there that the left join starts with team_roster: there is only one player per team in that table so I can be OK with understanding that there is at most one line in the corresponding pitcher/batter record so long as I specify the player, the team, the year, and the split_id (1 is "regular season"). From there I started with this to show the bio data: Code:
SET @playerID = 13749, @teamID = 5;
select concat('[color="', tm.background_color_id, '"]', plr.first_name, ' ', plr.last_name, '[/color]') as line1
,concat('POS No. ', plr.uniform_number) as line1pt5
,concat((
case
when plr.bats = 1 then 'R'
when plr.bats = 2 then 'L'
when plr.bats = 3 then 'S'
end), (
case
when plr.throws = 1 then 'R'
when plr.throws = 2 then 'L'
end), ', '
,truncate((plr.height / (2.54 * 12)), 0)
,''''
,round(((plr.height / 2.54) % 12), 0)
,'" ',
plr.weight, ' lbs.') as line2
,concat('Born ', plr.date_of_birth) as line3
from players plr
left join teams tm on tm.team_id = @teamID
where plr.player_id = @playerID
This is doing a fair bit more work so I'll try and explain it... You'll note that each entry is just a concatenated string. I set this up so that I can most easily just hit enter a couple times in the right spots. The format here is cribbed from the 80s era Scouting Report books that were produced by Harmon Killebrew and Brooks Robinson among others. The one line item I'm missing is the birthplace and that is because, if I'm being honest, adding that was going to be too much of a PITA . Looking at it, I'll probably add it for the future though. The top line also inserts a chunk of BBCode that takes the background color for the teams - usually that's a dark color - and sets that as the text color. Setting batting and throwing should be pretty straightforward. The next bit is height, which is a pain because the game lists it in centimeters, Markus being German and all. First I get the feet, which is basically the height in inches (so height / 2.54), divided by 12, and then we only need the integer so lop off everything else. Then I get inches, which starts with the height in inches, and then gets the *modulus* of 12 - that means, the remainder... so a guy who's listed at 5'7" in this would be 67 inches (some other number of cm but whatever), which in turn translates into 5 feet and 7 "modulus feet". This calculation occasionally churns out players who are 5'12" because it doesn't know how to round them off. I would write an if statement to handle that but to be perfectly honest I've run into it twice so far and so I just change it manually. POS is just a placeholder for the position I'm adding. I could automate that but I don't really have a cut-and-dried algorithm for it so I just take the extra second to type in, like, "CF" or "1B/OF". Now onto the fun stuff: Code:
set @playerID = 5132, @teamID = 13;
select concat('[color="', tm.background_color_id, '"]', plr.first_name, ' ', plr.last_name, '[/color]') as line1
,concat('POS No. ', plr.uniform_number) as line1pt5
,concat((
case
when plr.bats = 1 then 'R'
when plr.bats = 2 then 'L'
when plr.bats = 3 then 'S'
end), (
case
when plr.throws = 1 then 'R'
when plr.throws = 2 then 'L'
end), ', '
,truncate((plr.height / (2.54 * 12)), 0)
,''''
,round(((plr.height / 2.54) % 12), 0)
,'" ',
plr.weight, ' lbs.') as line2
,concat('Born ', plr.date_of_birth) as line3
from players plr
left join teams tm on tm.team_id = @teamID
where plr.player_id = @playerID;
select concat(pit.year, ' ', tm.abbr, ' ',(CASE
when tm.level = 2 THEN 'AAA'
when tm.level = 3 THEN 'AA'
when tm.level = 4 THEN 'A'
when tm.level = 5 THEN 'S A'
when tm.level = 6 THEN 'R'
else 'MLB'
END)) as yrtmlvl
,pit.w
,pit.l
,pit.s as sv
,truncate((pit.er / (pit.outs / 3) * 9), 2) as era
,pit.g
,pit.gs
,pit.cg
,concat(pit.ip, '.', pit.ipf) as ip
,pit.ha as h
,pit.r
,pit.er
,pit.bb
,pit.k
FROM players_career_pitching_stats pit
LEFT JOIN teams tm on tm.team_id = pit.team_id
WHERE pit.player_id = @playerID
and pit.split_id = 1
and pit.year in (1970, 1971, 1972)
ORDER BY pit.year asc
I end up with something like this: Code:
Yr Tm Lvl W L Sv ERA G GS CG IP H R ER BB SO 1970 PHI MLB 13 13 0 3.44 34 34 7 230.0 225 106 88 73 182 1971 PHI MLB 17 14 0 3.38 39 39 11 287.0 271 121 108 85 223 1972 STL MLB 13 14 0 2.69 34 34 10 271.0 221 88 81 84 231 I should note here too that while running two SELECT statements in MS-SQL via SSMS outputs two separate windows that you can select from, MySQL just flashes the first and then shows the second, so what I need to do here is select the first part of the query, run it, and then deselect and run the whole thing. Hitting is similar: Code:
SET @playerID = 16201, @teamID = 13;
select concat('[color="', tm.background_color_id, '"]', plr.first_name, ' ', plr.last_name, '[/color]') as line1
,concat('POS No. ', plr.uniform_number) as line1pt5
,concat((
case
when plr.bats = 1 then 'R'
when plr.bats = 2 then 'L'
when plr.bats = 3 then 'S'
end), (
case
when plr.throws = 1 then 'R'
when plr.throws = 2 then 'L'
end), ', '
,truncate((plr.height / (2.54 * 12)), 0)
,''''
,round(((plr.height / 2.54) % 12), 0)
,'" ',
plr.weight, ' lbs.') as line2
,concat('Born ', plr.date_of_birth) as line3
from players plr
left join teams tm on tm.team_id = @teamID
where plr.player_id = @playerID;
select concat(bat.year, ' ', tm.abbr, ' ',(CASE
when tm.level = 2 THEN 'AAA'
when tm.level = 3 THEN 'AA'
when tm.level = 4 THEN 'A'
when tm.level = 5 THEN 'S A'
when tm.level = 6 THEN 'R'
else 'MLB'
END)) as yrtmlvl
,round(bat.h / bat.ab, 3) as avg
,bat.g
,bat.ab
,bat.r
,bat.h
,bat.d as 2b
,bat.t as 3b
,bat.hr
,bat.rbi
,bat.bb
,bat.k as so
,bat.sb
from `modern-ish-baseball`.players_career_batting_stats bat
left join `modern-ish-baseball`.players plr on plr.player_id = bat.player_id
left join `modern-ish-baseball`.teams tm on bat.team_id = tm.team_id
where split_id = 1
and plr.player_id = @playerID
and bat.year in (1970, 1971, 1972)
order by year asc, level desc
Code:
Yr Tm Lvl Avg G AB R H 2B 3B HR RBI BB SO SB 1970 LEW S A 0.000 4 15 0 0 0 0 0 0 0 3 0 1970 MOD A 0.280 9 25 4 7 1 0 3 6 8 7 0 1970 CR A 0.223 26 94 11 21 5 0 1 9 12 21 0 1970 STP A 0.242 37 128 7 31 5 0 1 15 12 31 1 1971 CR A 0.204 94 314 30 64 8 1 4 30 34 71 0 1971 ARK AA 0.241 17 58 3 14 4 0 0 8 5 13 0 1972 TUL AAA 0.297 47 155 19 46 6 1 4 16 19 27 0 1972 STL MLB 0.213 41 141 7 30 6 0 1 12 12 25 0
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01-18-2024, 07:25 PM
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#17 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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Here's the new version of the average that lops the leading 0 off:
SUBSTR(CAST(round(bat.h / bat.ab, 3) AS CHAR(5)), 2) as avg One thing I haaaaaaaaaate about SQL scripting is that it's next to impossible to debug. And to be fair what's going on in this line would be a pain to debug in any language. I recommend writing these kinds of things out step by step, insuring you have the result you're looking for inside-out each step of the way. Going from inside out then... 1. Divide hits by at-bats. This gives you a number that could very well be .235737532987593120578375239 or something huge like that. 2. Round off to the 3rd digit. it sure looks to me like SQL exports all 3 decimals even when it doesn't have to; a .300 doesn't export as .3 for example. 3. Cast this number as a 5-unit character. Including the decimal, BA will always be 5 characters long. 4. Get the substring of this, beginning with character number... 2. As a developer I tend to think about strings in terms of them being an array of characters and, since arrays are 0-based, you'd start with position 1. But nope, MySQL counts from 1, unlike, like, all other programming languages on the planet.
__________________
Quote:
Last edited by Syd Thrift; 01-18-2024 at 07:31 PM. |
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02-20-2024, 08:29 PM
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#18 |
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Hall Of Famer
Join Date: Nov 2002
Posts: 3,648
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Be aware that innnings in both the pitching and fielding tables is divided into IP and IPF, where IP is whole innings and IPF is fractional innings. To get an accurate IP for ERA calculation, you need to do (3*IP+IPF)/3.
Also, don't forget to consider denominators that could be 0. For example, in batting average, h/ab can result in an error if ab=0. Not going to be an issue for end of year team stats, but individual players with very little playing time might run into that.
__________________
StatsLab- PHP/MySQL based utilities for Online Leagues Baseball Cards - Full list of known templates and documentation on card development. |
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02-20-2024, 10:12 PM
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#19 | |
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Hall Of Famer
Join Date: May 2004
Posts: 10,611
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True, although to the first point, if memory serves ERA for the purpose of winning the title didn’t figure partial innings until some point in the 80s when I think Steve McCatty lost an ERA title because of this. So I’m RIGHT ON PACE with the 70s.
In the rare instance where those percentages tried to run something with no ABs or IPs, that field just returns null, which can be an issue if I was still doing all this via a script but when I’m inputting individual player info and only selecting guys who reach a certain threshold of at bats, those results are very rare. It was much more common that I had an extra line with nulls in it for the year, team, and league because I didn’t exclude college stats.
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02-21-2024, 01:13 PM
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#20 | |
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Hall Of Famer
Join Date: Nov 2002
Posts: 3,648
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Quote:
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