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Cardinals vs Dodgers, Game #2 Simulation

I used my simulator to simulate 50000 baseball games between the Cardinals and Dodgers using what to the best of my knowledge will be close to today's starting lineups.  The simulator outputs a win probability for each team, along with the average total runs scored, a distribution matrix of all the final scores and how often they occurred, and an averaged box score tally of all games combined.  You may find it strange that there are so many one run games listed as the most likely score, and that the home team is always favored to win in the top couple of scores.  This is due to basic math and the way that baseball rules play out of having the home team bat last.  Here is a great article explaining this phenomenon.  For your viewing pleasure I have also listed a few other games of local interest.

Today's Results... (Last simulation ran at 1000PM)

 

Visitors Home Pitching Matchup Favorite Vegas Win Prob Simulator Win Prob AccuScore
STL LAN A.Wainwright vs C.Kershaw STL 53.70% 43.91% 53%

 Skinny:  Simulator Fun Facts... After a huge Game #1 victory over Chris Carpenter and the Cardinals, the Dodgers can put a death grip on this series with a win against Adam Wainwright.  Quite a large difference between the Vegas line and my simulator today.  In fact you don't often see this kind of split with two established, easy to project starting pitchers.  AccuScore comes in right with the Vegas odds.  I guess my simulator is the outlier in today's game, but I can't imagine being the underdog at home with Kershaw pitching, even if it is Adam "Cy" Wainwright on the mound for the  Cardinals.

 

Top 20 Most Likely Scores

1 LAN 3-2
2 LAN 4-3
3 LAN 2-1
4 LAN 5-4
5 STL 3-2
6 LAN 3-1
7 STL 2-1
8 LAN 1-0
9 LAN 4-2
10 STL 4-3
11 STL 4-2
12 LAN 4-1
13 LAN 2-0
14 LAN 6-5
15 STL 5-3
16 LAN 5-2
17 STL 3-1
18 STL 5-4
19 LAN 3-0
20 LAN 5-3

 

Game Pitching Results

Pitcher IP SO BB HR WHIP FIP
A.Wainwright 6.8 6.571 1.94 0.521  1.273 3.119
C.Kershaw 6.4 6.834 3.622 0.297 1.401 3.365

 


Note: Keep in mind I did this simulation before knowing the actual starting lineups, so some of the players I used may not be starting.   Many of the "Players Most Likely To" stats depend on having the correct lineup.  The lineups  I used are listed below.  Chances are you won't see a big difference in win probability from having the lineup order slightly off.  Picking the correct starters is more important, especially if one of the better players is taking the day off.  But you still won't see a big change in win probability if the starter and backup are interchangeable.

Simulation Lineups
  Name wOBA Name wOBA
1 R.Schumaker .2857 R.Furcal .3133
2 B.Ryan .3022 M.Kemp .3130
3 A.Pujols .4245 A.Ethier .3505
4 M.Holliday .3511 M.Ramirez .3696
5 R.Ludwick .3068 J.Loney .3448
6 M.Derosa .3164 C.Blake .3208
7 Y.Molina .3203 R.Belliard .3143
8 C.Rasmus .2593 R.Martin .3134
9 A.Wainwright .1360 C.Kershaw .1354

0 recs  |  Comment 6 comments

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Comments

Display:

Carpenter > Wainwright
(by a little bit)

Kershaw > Wolf
(by quite a bit)

Yet Vegas only gives the Dodgers a 3% win probability upgrade from last nights game.

vr, Xei

Source: FIP and tRA

by Xeifrank on Oct 8, 2009 9:58 AM PDT reply actions   0 recs

#1 Most Likely Score Hits

wow, what a game…. for us.
vr, Xei

by Xeifrank on Oct 8, 2009 6:18 PM PDT reply actions   0 recs

Would you look at that

not a bad time to have the number 1 game score come in.

Hope it doesn’t happen on Saturday though….

by Michael White on Oct 9, 2009 7:37 AM PDT up reply actions   0 recs

I had a cut and paste error here earlier. I had the Dodgers listed as the Vegas favorite, when it was really the Cardinals who were the Vegas favorite. Vegas and AccuScore liked the Cards in Game #2 and only the simulator picked the Dodgers to win that game.
vr, Xei

by Xeifrank on Oct 9, 2009 8:26 AM PDT reply actions   0 recs

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