Showing posts with label Athletics. Show all posts
Showing posts with label Athletics. Show all posts

Monday, March 02, 2015

Oakland Athletics - 2015 Most Optimal Lineups

There are many ways people attempt to determine the best batting order.  Some people try to arrange high on base percentage people at the top of the lineup followed by sluggers and then the rest of the crew and slap on a pitcher batting 9th (NL Team) and you are good to go.  Others try calculators where you enter in player stats and out pops the best lineups.  These are all fun and probably get you part of the way there but they are in NO WAY scientific enough to make much of a claim to what the top lineups might be.

The best way (in my opinion) to determine which lineup is the best is to actually trot out every single lineup and see which one wins the most games.  Of course you would have to hold the opponent constant, using the same starters, lineup and starting pitcher.  How hard could that be to do?  Let's see, with nine batters in a lineup you would only have 362,880 lineups to go through.  How long could that take to play over 350,000 baseball games.  You could probably filter those permutations down to 25,000 or so by limiting left handed batters from hitting back to back, limiting the pitcher (NL) to batting either 8th or 9th, plus a few other obvious things.  Even if you could narrow things down to just two lineups, you would still need to play more than one game to determine which one was better.  So how many samples/games would you need?  10? 20? or maybe an entire season (162) of games?  No.  You would need a lot more than that.  Try tens of thousands just to separate the bad lineups from the good and then try a million or two to compare the best lineups.

Well, I think it is pretty impossible to play thousands of games one time or a couple of games a million times.  Hypothetically, if one were able to play games with thousands of different lineups, thousands or millions of times against the exact same opponent then you would get a very good idea as to which lineups were the best.  This is where simulation comes in handy.  A simulator that could play actual baseball games, by actual baseball rules, taking into consideration the important facets of a real baseball game like speed, defense, pitchers getting tired the more pitches they throw, splits, hitter vs pitcher matchups and outcomes and throw in some good player projections like the ones available for free at Fangraphs and then maybe through the power of the computer you could plow through tens of thousands of likely lineups to determine the best ones.

Now, you would be able to test the synergy of batting certain groups of players next to each other.  You would be able to experiment with various types of hitters hitting in different spots.  In fact, you could just let the computer run through each lineup and let you know what the top ones were, even tabulating how many times each player showed up at each spot in the top lineups.  Now you would have a good list of top lineups and be able to measure how many wins a manager might be leaving on the table by using the lineup(s) that he used.  Wouldn't it be very worthwhile for a team to know what its best lineups might be?  Of course it would, especially considering that on the free agent market one win (or WAR) is typically worth around $7M.  For managers that might not want to hit certain batters in certain lineup spots for whatever reason, he could use the filtering option to only measure lineups that fit his parameters.

Well, now on to what my game simulator using Steamer hitting projections lists as the top fifty lineups for the 2015 Oakland Athletics.  I only looked at lineups against a right handed starting pitcher and took the nine most likely starters from the list at the Roster Resource website and I have of course used their most common lineup as one of the many (10,000+) lineups that I am looking at.  Along with the top fifty lineups, there is a table showing how many times each player shows up in each lineup spot and what the most common back to back slottings are as well as back to back to back slottings (think synergy here).

Summary:
The batting order frequency table tells a lot here.  If you were to piece together a lineup from only the frequency table you would likely come up with what is the second ranked optimal lineup.  The lineup listed from the Roster Resource website came in listed 34th.  I've ran a few of these now for various teams and the Athletics seem to have a very balanced lineup with no one player way better than the others not causing much of a spread between the top lineups.  I also purposely added a bad lineup to the bottom of the top 50 list just to see what the maximum spread for the team looks like.  According to the simulator, there are not a lot of wins for the Athletics manager to leave on the table vs RHP compared to some of the other teams.

                                          Top 50 Lineups (vs RHP)
RankLineupWins/162 Games Behind
1Zobrist-Reddick-Lawrie-Davis-Crisp-Semien-Vogt-Butler-Fuld0
2Crisp-Reddick-Lawrie-Davis-Zobrist-Vogt-Semien-Butler-Fuld0.001
3Reddick-Crisp-Lawrie-Davis-Zobrist-Vogt-Semien-Fuld-Butler0.016
4Crisp-Vogt-Lawrie-Davis-Zobrist-Reddick-Semien-Butler-Fuld0.042
5Zobrist-Fuld-Lawrie-Reddick-Crisp-Vogt-Semien-Butler-Davis0.067
6Crisp-Vogt-Lawrie-Davis-Zobrist-Semien-Fuld-Butler-Reddick0.093
7Fuld-Crisp-Butler-Davis-Zobrist-Reddick-Lawrie-Vogt-Semien0.094
8Davis-Zobrist-Lawrie-Reddick-Crisp-Vogt-Semien-Fuld-Butler0.103
9Reddick-Semien-Lawrie-Davis-Crisp-Fuld-Zobrist-Vogt-Butler0.107
10Zobrist-Reddick-Lawrie-Davis-Semien-Crisp-Vogt-Butler-Fuld0.108
11Lawrie-Crisp-Davis-Zobrist-Reddick-Semien-Vogt-Butler-Fuld0.108
12Semien-Davis-Lawrie-Reddick-Crisp-Fuld-Zobrist-Vogt-Butler0.109
13Zobrist-Reddick-Lawrie-Davis-Crisp-Fuld-Butler-Vogt-Semien0.117
14Crisp-Reddick-Lawrie-Davis-Semien-Zobrist-Fuld-Butler-Vogt0.123
15Zobrist-Crisp-Reddick-Lawrie-Davis-Semien-Fuld-Butler-Vogt0.14
16Semien-Davis-Lawrie-Reddick-Zobrist-Crisp-Vogt-Butler-Fuld0.141
17Semien-Fuld-Butler-Davis-Zobrist-Reddick-Lawrie-Crisp-Vogt0.146
18Zobrist-Reddick-Lawrie-Davis-Crisp-Vogt-Semien-Fuld-Butler0.146
19Reddick-Crisp-Davis-Zobrist-Lawrie-Vogt-Semien-Fuld-Butler0.152
20Fuld-Crisp-Butler-Davis-Semien-Reddick-Lawrie-Vogt-Zobrist0.156
21Zobrist-Fuld-Lawrie-Davis-Crisp-Vogt-Semien-Butler-Reddick0.156
22Reddick-Zobrist-Davis-Lawrie-Crisp-Vogt-Semien-Fuld-Butler0.159
23Crisp-Butler-Reddick-Lawrie-Davis-Semien-Vogt-Zobrist-Fuld0.175
24Reddick-Crisp-Davis-Lawrie-Zobrist-Vogt-Semien-Fuld-Butler0.181
25Fuld-Crisp-Lawrie-Davis-Zobrist-Reddick-Semien-Vogt-Butler0.191
26Reddick-Zobrist-Lawrie-Davis-Semien-Fuld-Crisp-Vogt-Butler0.192
27Crisp-Zobrist-Reddick-Lawrie-Davis-Semien-Fuld-Butler-Vogt0.192
28Crisp-Davis-Lawrie-Reddick-Zobrist-Vogt-Semien-Butler-Fuld0.195
29Crisp-Fuld-Lawrie-Reddick-Zobrist-Semien-Vogt-Butler-Davis0.204
30Crisp-Semien-Davis-Lawrie-Reddick-Zobrist-Fuld-Butler-Vogt0.209
31Crisp-Fuld-Lawrie-Davis-Zobrist-Reddick-Butler-Semien-Vogt0.210
32Crisp-Zobrist-Davis-Lawrie-Fuld-Semien-Vogt-Butler-Reddick0.213
33Semien-Fuld-Lawrie-Reddick-Zobrist-Crisp-Vogt-Butler-Davis0.214
34Reddick-Crisp-Davis-Zobrist-Vogt-Lawrie-Semien-Fuld-Butler0.218
35Crisp-Zobrist-Reddick-Butler-Davis-Lawrie-Vogt-Semien-Fuld0.221
36Reddick-Zobrist-Davis-Lawrie-Fuld-Semien-Crisp-Vogt-Butler0.222
37Crisp-Davis-Butler-Reddick-Zobrist-Lawrie-Vogt-Semien-Fuld0.236
38Semien-Davis-Zobrist-Reddick-Crisp-Vogt-Lawrie-Fuld-Butler0.238
39Crisp-Vogt-Lawrie-Davis-Semien-Butler-Reddick-Zobrist-Fuld0.242
40Crisp-Zobrist-Reddick-Lawrie-Vogt-Semien-Fuld-Butler-Davis0.244
41Zobrist-Reddick-Lawrie-Davis-Crisp-Fuld-Butler-Semien-Vogt0.248
42Crisp-Butler-Reddick-Lawrie-Davis-Zobrist-Vogt-Semien-Fuld0.257
43Lawrie-Fuld-Butler-Davis-Crisp-Zobrist-Vogt-Semien-Reddick0.258
44Crisp-Reddick-Lawrie-Davis-Semien-Fuld-Butler-Zobrist-Vogt0.260
45Davis-Zobrist-Reddick-Lawrie-Fuld-Crisp-Vogt-Semien-Butler0.263
46Crisp-Fuld-Butler-Davis-Lawrie-Reddick-Semien-Vogt-Zobrist0.267
47Crisp-Reddick-Butler-Davis-Semien-Zobrist-Fuld-Lawrie-Vogt0.283
48Fuld-Semien-Lawrie-Davis-Crisp-Reddick-Zobrist-Vogt-Butler0.284
49Crisp-Vogt-Zobrist-Davis-Lawrie-Reddick-Semien-Butler-Fuld0.294
50Crisp-Reddick-Butler-Davis-Zobrist-Lawrie-Vogt-Semien-Fuld0.294
BADVogt-Butler-Fuld-Crisp-Semien-Davis-Zobrist-Reddick-Lawrie1.419
.
.
             Batting Order Frequency Table
1st2nd3rd4th5th6th7th8th9th
Crisp21900134210
Reddick8107929104
Lawrie20251134410
Davis2582650004
Zobrist8923155332
Vogt040021114109
Semien53007101582
Butler02810141915
Fuld4800367814
.
.

                    Synergy


   Back to Back Frequency Leaders
RankOccurrencesPlayer 1Player 2
122LawrieDavis
220VogtSemien
320SemienFuld
420FuldButler
518ReddickLawrie
617CrispVogt
717DavisZobrist
816ZobristReddick
915ButlerReddick
1015FuldCrisp
1114ButlerDavis
1213VogtButler
1312ReddickZobrist
1411DavisLawrie
1511DavisSemien
1611ZobristVogt
1710ReddickCrisp
1810LawrieReddick
1910DavisCrisp
2010ButlerFuld

     Back To Back to Back Frequency Leaders
RankOccurrencesPlayer 1Player 2Player 3
113VogtSemienFuld
213SemienFuldButler
312ReddickLawrieDavis
410ZobristReddickLawrie
58LawrieDavisSemien
68DavisZobristReddick
77CrispVogtSemien
87LawrieDavisCrisp
97LawrieDavisZobrist
106LawrieVogtSemien
116DavisLawrieReddick
126ZobristVogtSemien
136VogtButlerFuld
146SemienFuldCrisp
156ButlerReddickCrisp
166ButlerReddickZobrist
176ButlerDavisZobrist
186FuldButlerReddick
195CrispVogtButler
205LawrieReddickZobrist
.
.

Monday, February 03, 2014

Best Lineup - Oakland Athletics


Next up on my look at each teams most efficient lineup is the Oakland Athletics.  In this exercise the methodology is to use my simulator to find out which lineup wins the most games vs RH and LH pitchers.  I do this by making the team of interest the "away" team, playing against a "make believe" team whose stats don't change from one sim to the next. In fact no stats (or input projections) change for either team, the only difference from one simulation to the next is the lineup of the team of interest.  For player projections, I am using ZIPs projections which are available on Fangraphs. The lineup results will only be as good as the projections.  I am not a subject matter expert on every teams personnel but I try to use MLBDepthcharts as a guidance as to which players are starters and I tend to avoid hitting too many LH back to back when reasonably possible.  Keep in mind, the results are not intended to match what a certain teams manager is most likely to do during the season.

Previous teams:
AL: Angels | Rangers | Rays | Twins | Blue Jays | Indians
NL: Mets | Cubs | Padres | Marlins | Reds | Giants

See the results after the jump

Wednesday, October 09, 2013

Tigers vs Athletics - Simulation Results ALDS Game #5




Note: Vegas favors the Tigers, with a 50.4% win probability

                              Top 100 Most Likely Final Scores
RankTigersAthleticsOccurrencesRankTigersAthleticsOccurrences
1234785051075421
2124699552755267
3343571753475221
4213506754184650
5323473355284638
6132791156764490
7012776857574434
8432576958824302
9312511659834064
10242285760704026
11452256761814000
12422243962383956
13022185563083590
14102135664843547
15142081165293182
16031951866483170
17201892967853149
18411829368193113
19541633669783068
20531601970922835
21301573371802751
22251553172932720
23521534273912611
24351519974392607
25041435775582586
26151424976862549
27561252477092363
28511221178942206
29401110979682184
30051071380872130
31631027281491965
322610170822101951
33169911831101864
3436966984951860
35629664851021843
3664963086901809
37659223873101759
38468681881011746
39618467891031745
40507984900101552
4106759491591530
4217701792961507
43277004931041421
4467653994891350
45726524954101260
4673622096971240
47376075971001193
4874590098691191
49715778991111175
506057701001051149

Tuesday, October 08, 2013

Athletics vs Tigers - ALDS Game #4 Simulation Results




                                  Top 100 Most Likely Final Scores
RankAthleticsTigersOccurrencesRankAthleticsTigersOccurrences
12343325129595
23439915276591
31235385378585
44528875440581
53225345548571
61324385661569
72424375708554
84322485872550
92121375919549
101420566073538
113519586139481
122518776258481
1356184463210468
1415170164110449
1503163965310419
164216386650408
175416286709406
183116126849394
190115566968374
200215057083372
210414167171367
225314007282359
232613777384357
243613617485357
254612047587353
261611917659340
274111527786336
2865111778111327
2905110479010315
305210778060312
3167106881311302
3264102982410299
331799083211283
34379738481278
35279728589258
36109688669253
37069188794241
382089488011235
394787889411235
40638339093233
41307879192230
422877492212225
43577679379219
44627619470211
455174695112205
46187319696191
473872297510186
48076839895185
49756449997185
5074606100312182

Saturday, October 05, 2013

Tigers vs Athletics - ALDS Game #2 Simulation Results




                                 Top 100 Most Likely Final Score
RankTigersAthleticsOccurrences RankTigersAthleticsOccurrences
1234683 5107537
2124571 5218510
3343537 5375506
4213498 5447480
5323435 5528478
6012743 5657455
7132720 5776445
8432567 5882435
9312499 5970420
10422389 6083420
11242183 6138416
12452162 6281416
13022159 6308371
14102141 6484370
15142016 6578347
16031933 6619346
17411849 6748329
18201833 6829317
19541567 6985308
20301558 7092304
21351530 7191301
22531520 7293283
23521473 7309282
24151465 7486276
25251456 7539265
26041411 7680261
27561291 77110253
28511164 7858248
29401107 79210242
3063999 8068226
3126997 81102223
3265971 8287208
3364967 83101206
3405960 8449205
3536936 8594204
3662934 8690203
3716921 87010179
3861857 8895178
3946806 89310174
4050761 90211165
4106674 91103165
4217651 9259162
4373646 9396152
4427635 94410150
4572629 95104148
4671618 96113148
4767615 97100138
4837589 98111137
4974588 9989136
5060548 10097128

Friday, October 04, 2013

Tigers vs Athletics - ALDS Game #1 Simulation Results




Top 100 Most Likely Final Scores
RankTigersAthleticsOccurrences RankTigersAthleticsOccurrences
1124703 5182506
2234616 5217493
3213946 5306480
4323764 5437460
5343516 5576431
6313010 5683429
7012825 5747427
8432707 5857405
9132542 5980402
10422490 6084374
11102393 6192357
12202374 6218348
13412262 6307346
14452138 6428338
15242028 6591331
16302002 6685313
17021899 6738309
18141740 6893300
19521739 6929261
20531686 7048260
21541596 7108259
22031564 7278249
23511482 7386242
24401453 7458238
25351346 7594236
26251345 76101236
27621164 7790233
28041102 7819231
29631097 79102226
30561093 80103218
31151048 8187213
32611030 8239204
33501017 8395191
3464941 8468189
3565855 8509169
3636833 86100167
3746817 87210160
3826775 88110158
3960763 89310152
4016754 90112150
4171744 91111147
4272741 92104142
4373704 93113142
4405677 9459140
4567599 9596137
4674594 9649125
4781551 97110125
4827544 98410115
4970520 9989115
5075512 100010113

Thursday, April 07, 2011

April 7th Simulations



April 7th Simulations ...



Visitors Home Probable Pitching Matchup Favorite Vegas Win Prob Simulator Win Prob Final Score
Astros Reds B.Myers vs S.LeCure Reds 58.33% 58.15% HOU 3-2
Red Sox Indians J.Lester vs F.Carmona Red Sox 64.03% 58.77% CLE 1-0
Braves Brewers T.Hanson vs S.Marcum Braves 53.27% 54.76% MIL 4-2
Tigers Orioles B.Penny vs C.Tillman Orioles 56.52% 56.73% BAL 9-5
Rays White Sox D.Price vs E.Jackson White Sox 56.52% 49.88% CHA 5-1
Rockies Pirates E.Rogers vs P.Maholm Pirates 52.15% 50.96% COL 7-1
Twins Yankees F.Liriano vs A.Burnett Yankees 59.02% 55.35% NYA 4-3
Nationals Marlins J.Lannan vs J.Johnson Marlins 64.29% 58.82% WAS 5-3
Mets Phillies J.Niese vs R.Halladay Phillies 66.10% 62.78% PHI 11-0
Athletics Blue Jays T.Cahill vs R.Romero Blue Jays 54.55% 49.83% OAK 2-1


Seasonal ROI: 17.03%

MLB Scoreboard
Roster help to MLB Depthcharts