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World Series Simulation, Game #5

I used my simulator to simulate 100000 baseball games between the Yankees and Phillies 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.

Today's Results... (Last simulation ran on Sunday at 10:00PM)

 

Visitors Home Pitching Matchup Favorite Vegas Win Prob Simulator Win Prob AccuScore
NYA
PHI
A.Burnett vs C.Lee PHI
57.45%
63.03%
60%

 Skinny:  Simulator Fun Facts... The simulator says the Phillies will most likely live to play another day, mostly due to the deft pitching of Cliff Lee.  There is around 5-1/2 percentage points of difference between the Simulator and Vegas on Game #5.  AccuScore's numbers are out and they are taking the middle ground.

 

Top 50 Most Likely Scores

1 PHI 3-2
2 PHI 4-3
3 PHI 2-1
4 PHI 5-4
5 NYA 3-2
6 PHI 3-1
7 PHI 4-2
8 PHI 4-1
9 NYA 4-3
10 PHI 5-2
11 NYA 2-1
12 PHI 5-3
13 PHI 5-1
14 NYA 5-4
15 NYA 4-2
16 PHI 6-5
17 NYA 3-1
18 PHI 3-0
19 PHI 6-2
20 PHI 4-0
21 PHI 1-0
22 PHI 2-0
23 NYA 5-3
24 PHI 6-3
25 PHI 5-0
26 PHI 6-4
27 PHI 6-1
28 NYA 5-2
29 PHI 7-2
30 NYA 6-5
31 NYA 4-1
32 PHI 6-0
33 NYA 1-0
34 NYA 6-4
35 PHI 7-3
36 PHI 7-6
37 NYA 2-0
38 PHI 7-1
39 NYA 6-3
40 NYA 6-2
41 PHI 7-4
42 PHI 7-5
43 PHI 8-2
44 NYA 5-1
45 PHI 8-1
46 PHI 8-3
47 NYA 7-4
48 PHI 7-0
49 NYA 3-0
50 NYA 7-6

 

Game Pitching Results

Pitcher IP SO BB HR WHIP FIP
A.Burnett
6.4
6.233
2.847
0.948
1.381
4.522
C.Lee
7.4
5.892
1.241
0.596
1.089
3.157

 


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 D.Jeter .3159
J.Rollins .3413
2 J.Damon .2896
S.Victorino .3456
3 M.Teixeira .3479
C.Utley .3818
4 A.Rodriguez .3287
R.Howard .3886
5 R.Cano
.2995
J.Werth .3504
6 N.Swisher
.2954
R.Ibanez .3609
7 M.Cabrera
.2704
P.Feliz .2965
8 J.Molina
.2449
C.Ruiz .3091
9 A.Burnett
.1366
C.Lee
.1341

 





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lets just win tiss..comee on cliff lee….help us plzzz

by eaglesfan20 on Nov 2, 2009 2:04 AM EST reply actions  

Moves

The so called smart money is moving the line towards the Phillies side as of this morning. The opening line had the Phillies with a win probability of 57.45% and as of this post it has moved up to 59.18%. I wouldn’t be surprised if it kept moving up to 60% by game time.
vr, Xei

by Xeifrank on Nov 2, 2009 10:44 AM EST reply actions  

71st most likely

score hits. Vegas and AccuScore underestimated the Phillies chances for winning Game #5. With the over/under of around 8.5 and a 14 run game hitting, we didn’t end up with a very likely final score. On to New York, and a new sim will be up shortly.
vr, Xei

by Xeifrank on Nov 2, 2009 11:49 PM EST reply actions  

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