Showing posts with label NLCS. Show all posts
Showing posts with label NLCS. Show all posts

Thursday, October 17, 2013

Dodgers vs Cardinals - NLCS Game 6 Simulation Results




                                        Top 100 Most Likely Final Scores
RankDodgersCardinalsOccurrencesRankDodgersCardinalsOccurrences
1125564451273958
2234739952173864
3214648753833677
4014089954673640
5323939255373525
6103700856753487
7313555857473011
8203424258912871
9343140159072784
10302974860842772
11412659761762716
12422619462922708
13432489363902676
14132472564282414
15022446765572296
16402278266182281
17241865467932213
18511843868852054
19521779769381993
204517141701011771
21031686071081766
22141656072481679
235016291731001617
24531530574941580
25541325875191513
26611239476781504
272511494771021499
28041137778291447
29621135279861425
30601102880581321
31351082981391283
321510001821031239
3363968983871181
3456820184951105
3571781785091085
3664761686681013
37057334871111009
387071348849925
3972711789110916
4026674590104906
4165639491112875
4236635092210870
4316619993110847
447359849496808
4546548695113770
468150639659711
4774468297310698
4806451198010648
4982450799105603
50804448100410568

The Odds Couple of Games


Vegas now lists the Dodgers chances of winning the NLCS as 23.2% and gives them a 55.7% chance of winning Game #6 in which Clayton Kershaw pitches. From those two pieces of information we can reverse engineer the Dodgers odds in Game #7. Below is a table showing this information. The math is getting a lot easier with only two possible games remaining.

GameLAD PitcherSTL PitcherLAD Win%
         6C.KershawM.Wacha55.70%
         7H.RyuA.Wainwright41.70%
NLCS Winner23.20%

Wednesday, October 16, 2013

Oddly Enough for The Dodgers


Not hope remains for the Dodgers in the NLCS. Vegas odds give the Dodgers a 13.6% chance of winning the NLCS, a feat that would involve winning the last three games of the series, with the last two games being played in St.Louis. The Dodgers are a generous 61.8% Vegas favorite in Game #5 and knowing that and the 13.6% number we can reverse engineer the probable odds of Game #6 and Game #7. Also we can easily calculate the odds that the series ends in a 5, 6 or 7 game victory for the Cardinals or a seven game victory for the Dodgers.

Reverse Engineered Game Odds
GameLAD StarterLAD Win%
5Z.Greinke61.8
6C.Kershaw56.0
7H.Ryu39.2

Series Result Odds
Result% Chance
Cardinals in 538.2%
Cardinals in 627.2%
Cardinals in 721.0%
Dodgers in 713.6%

Cardinals vs Dodgers - NLCS Game 5 Simulation Results



                                      Top 100 Most Likely Final Scores
RankCardinalsDodgersOccurrencesRankCardinalsDodgersOccurrences
1234771751605803
2124649152745517
3343673453285216
4213163454185031
5323155655754969
6012897456574517
7132848157384446
8242443358764316
9312407359824254
10432407360704063
11452330061833917
12022309462813825
13142265863083790
14422129264483514
15032081865843485
16101950166293222
17201787867193154
18251787168782988
19411734769852869
20151634870922760
21041634471392751
22351617972582712
23541520073802675
24531511974932551
25301488375912425
26521462576092381
27561296477862377
28511242478492100
29051204179942087
30261153380682072
314011337812101981
32161129982871977
333610786831101916
3462987184951814
3563976085901720
36469252863101691
37649013871021659
38618731881031611
3906864289591537
40658585901011487
4150804391961419
42277781920101393
4317755393691278
44376874941041272
45736445954101264
4672631996891244
47676308972111167
48475914981111150
4971587699971067
500758111003111039

Tuesday, October 15, 2013

A Case For Ricky Nolasco Game Four NLCS


In case you've been on the moon or busy watching soccer there has been some discussion in Dodgers-Land about whether or not to skip Ricky Nolasco in Game #4 of the NLCS or bring back Zack Greinke to pitch on short rest. I decided to take a back of the envelope look at which decision is the correct way to go. My exercise won't go into the nitty-gritty details which would add a little more precision to the numbers but it will provide a good framework and maybe some guidance into what the best decision is.

In general there is a 0.5 RA/9ip penalty for pitching on three days rest and there is probably a little penalty for pitching on too many days rest but let's leave that number unknown for now. What I did is made a table with the RA/9 expectancies for each of the Dodgers four starting pitchers. Then output tables showing which starting pitching arrangement looks best. The RA/9ip estimates can be changed if you don't agree with them, this is just the framework and with the framework you can tell how bad of a pitcher Nolasco must be to make skipping him and starting Greinke (and even perhaps Kershaw and Ryu) on short rest.

Input Table
PitcherRA/9IP
Kershaw2.25
Greinke3
Ryu3.5
Nolasco4

Now let's come up with some rotation arrangements. Let's first start off with the one where Nolasco pitches Game #4 and Greinke, Kershaw and Ryu all pitch on regular rest.

GameRestLAD StarterRA/9
4NormalNolasco4
5NormalGreinke3
6NormalKershaw2.25
7NormalRyu3.5
Total12.75

Now let's see what happens if Nolasco is skipped and Greinke (G4, G7), Kershaw (G5) and Ryu (G6) all pitch on short rest. Notice the 0.5 RA/9ip penalty applied.

GameRestLAD StarterRA/9
4ShortGreinke3.5
5ShortKershaw2.75
6ShortRyu4
7ShortGreinke3.5
Total13.75

This particular arrangement does not fair too well as you are applying four 0.5 RA/9ip penalties, adding up to 2.0 RA/9ip over four games. Nolasco's projection MUST be very very bad for this option to win out. How bad? I will visit that later.

Now onto the arrangement where Zack Greinke pitches Game #4 on short rest then Nolasco pitches Game #5 and Kershaw and Ryu pitch the last two games on full rest. I call this the "Rearranging The Deck Chairs" option.

GameRestLAD StarterRA/9
4ShortGreinke3.5
5NormalNolasco4
6NormalKershaw2.25
7NormalRyu3.5
Total13.25

This option always loses out to the first option as you are just swapping Game #4 and Game #5 starters and adding a penalty to Greinke's start. This option is stupid.

So it comes down to the first two options and the first option will win out unless you think that Nolasco is a terrible pitcher. Just how terrible in terms of RA/9ip? And you can feel free to combine Nolasco's RA/9ip with that of Volquez if you think they will tag team their start. Only good thing about that is that you can get an early pinch hitter at-bat in the game. But let's get back to the question of how bad would Nolasco's RA/9ip projection have to be to make the second option a better one than the third. The break even point for Nolasco's RA/9ip projection is 5.0. If you think his RA/9ip projection is worse than 5.0 then the second option would be better and you would go with a three man rotation. Of course there are some other minor things to take into consideration, so you could add or subtract those in to the RA/9ip projections but this exercise gives you an idea for which rotation arrangement is best.

I think the Dodgers should start Nolasco and if he isn't terribly sharp or being hit hard to pinch hit for him in either his first or second at-bat and then to use Volquez until he bats and then to let the bullpen finish out the game. Hopefully, you won't go extra innings as you will be using a lot of your bullets early on in the game.

Monday, October 14, 2013

Cardinals vs Dodgers - Simulation Results NLCS Game #4




                                           Top 100 Most Likely Final Scores
RankCardinalsDodgersOccurrencesRankCardinalsDodgersOccurrences
1234759351475743
2124584352705119
3343754653755073
4323288954824861
5213217555574685
6012699356814659
7132624257834645
8312577758284494
9432489759764422
10452371560074222
11242327061184010
12422314862843910
13022016663383894
14142003864483309
15101962865803294
16411942166853151
17201899567923124
18031656468783084
19301654669913048
20521620870932906
21251618571582835
22351618072082710
23531617073292671
24541605574862535
25511454375192514
26151402076392456
27561341377942441
28401338878682209
29041268179902171
30621132880872043
316310590811022034
32261057082492001
33361053783951925
346110135841011837
35509768851031737
36649653862101716
3716942887091704
38059345883101559
39469132891101506
4065888290591484
41727527911041482
4260723592961427
4371713393891369
44737039941001353
4527674995691222
46676682964101202
4706651297971172
48376264981121167
49176150991111128
507461371001051119

Updates NLCS Individual Game Odds


Here is an updated list of the individual game odds for the remaining games of the NLCS. As a reminder, the way the game odds are calculated is take the Vegas odds of the Cardinals winning the NLCS, which the last time I looked was (-350, +290) 76.19% chance of winning. We can give the Dodgers a 0% chance of winning for the games they already lost and we can input a win probability of 47.4% for Game #3 as those odds have already been published. Now to figure out the odds of the remaining games (Games 4-7) we need to adjust them until the string of games gives us a 23.81% chance of the Dodgers winning the series. To do this, I used the nifty excel spreadsheet that one of my readers gave me in the comments of the previous post on this topic. While these won't be the likely odds for Games four thru seven they are good "ballpark" estimates. And if you don't agree with any of these game odds, that is fine... but you will need to adjust the odds of some of the other games to even out any changes you made one way or the other.

GameAway StarterHome StarterDodgers Odds
1Zack GreinkeJoe Kelly0.0%
2Clayton KershawMichael Wacha0.0%
3Adam WainwrightHyun-Jin Ryu47.4%
4Shelby MillerRicky Nolasco59.0%
5Joe KellyZack Greinke65.0%
6Clayton KershawMichael Wacha57.0%
7Hyun-Jin RyuAdam Wainwright42.0%
Total23.8%

Friday, October 11, 2013

Dodgers vs Cardinals - NLCS Game #1 Simulation Results



Note: Vegas has the Dodgers as 55.6% favorites in Game #1 (ML -130, +120)

                                       Top 100 Most Likely Final Scores
RankDodgersCardinalsOccurrencesRankDodgersCardinalsOccurrences
12344025117569
21240595237566
33435315381555
43233765483551
52131925576536
64327495647510
73126955706476
84224855857459
94523845984432
101323526080395
110122636128386
122421096292379
134121076385378
141019416418363
155218376507358
163018216691351
172018196738342
185318166878324
195418016948323
201417457058310
215116807193293
220216297286292
230315277329291
244015167495276
253514577594268
262514457687246
275613227790231
286212347819229
291512297968221
306311978008220
3161118881102219
325011258249215
336410878339211
3404107684101203
3565104085103187
362693286210184
373692487104171
387386988310167
39728658959162
406083090112153
41468039109152
427179592110150
43167889396149
44057649489141
45677329597136
467472096100136
47276359798129
487558698105129
498258399211120
5070573100410116

Thursday, October 10, 2013

NLCS Individual Game Odds


Vegas has some out and made the Dodgers a 55.6% favorite to win the NLCS over the St.Louis Cardinals. So what I've done is gone ahead and assigned individual game win probabilities to each game not necessarily based off of what my sim outputted, but more along the lines of fudging the odds of all seven games in attempt to make the 55.6% come out as the true chances of winning the series for the Dodgers. Below is what I came up with.

GameAway StarterHome StarterDodgers Win%
1Z.GreinkeJ.Kelly50%
2C.KershawM.Wacha59%
3A.WainwrightH.Ryu47%
4L.LynnR.Nolasco55%
5J.KellyZ.Greinke59%
6C.KershawM.Wacha59%
7H.RyuA.Wainwright38%

I took this set of game win probabilities and put it in a C program that played a 7 game series one million times, using a random number generator to determine game winners and losers and the odds of the Dodgers winning the series came out to approximately 55.6% of the time. You can argue that the odds for an individual game are a little off, but where you lean one game matchup for one team, you need to lean another matchup for the other team. It doesn't matter if I swap Greinke and Kershaw (Games 1/2, 5/6) in the games they pitch in, the odds still come out the same. Where it might matter is having Kershaw available to pitch out of the pen in Game #7. Either way, the Dodgers surely do not want this series to go to a seventh game.

Friday, October 22, 2010

NLCS Game #6 Simulation



October 23rd Simulations, Championship Series Odds. ..



Visitors Home Probable Pitching Matchup Favorite Vegas Win Prob Simulator Win Prob Actual
Giants Phillies J.Sanchez vs R.Oswalt Phillies 60.63% 56.07% SF 3-2


Final Regular Season ROI: 3.54%
Playoffs ROI: 24.72%

MLB Scoreboard

Wednesday, October 20, 2010

Giant Close-Out Game



October 21th Simulations, Championship Series Odds. ..



Visitors Home Probable Pitching Matchup Favorite Vegas Win Prob Simulator Win Prob Actual
Phillies Giants R.Halladay vs T.Lincecum Giants 52.94% 48.25% PHI 4-2


Final Regular Season ROI: 3.54%
Playoffs ROI: 23.31%

MLB Scoreboard