Dodgers vs Phillies, Game #3 Simulation
I used my simulator to simulate 100000 baseball games between the Dodgers 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 Friday at 8:15PM)
| Visitors | Home | Pitching Matchup | Favorite | Vegas Win Prob | Simulator Win Prob | AccuScore |
| LAN | PHI | H.Kuroda vs C.Lee |
PHI | 63.79% | 58.94% | 57% |
Skinny: Simulator Fun Facts... The Phillies and Cliff Lee are solid favorites to win Game #3. The Vegas line has the Phillies' win probability five percentage points higher than my simulator. Vegas probably doesn't like Kuroda's recent layoff, and couple that with Cliff Lee's recent stellar performances and there probably lies the difference. AccuScore has come in with a prediction right in line with my simulator.
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Top 50 Most Likely Scores |
|
| 1 | PHI 3-2 |
| 2 | PHI 4-3 |
| 3 | PHI 2-1 |
| 4 | PHI 5-4 |
| 5 | LAN 3-2 |
| 6 | LAN 4-3 |
| 7 | PHI 3-1 |
| 8 | PHI 4-2 |
| 9 | PHI 4-1 |
| 10 | LAN 2-1 |
| 11 | PHI 5-3 |
| 12 | PHI 5-2 |
| 13 | PHI 6-5 |
| 14 | LAN 4-2 |
| 15 | LAN 5-4 |
| 16 | LAN 3-1 |
| 17 | PHI 5-1 |
| 18 | LAN 5-3 |
| 19 | PHI 3-0 |
| 20 | LAN 5-2 |
| 21 | PHI 6-3 |
| 22 | PHI 6-4 |
| 23 | PHI 1-0 |
| 24 | PHI 6-2 |
| 25 | LAN 6-5 |
| 26 | LAN 6-4 |
| 27 | PHI 4-0 |
| 28 | LAN 4-1 |
| 29 | PHI 2-0 |
| 30 | LAN 6-3 |
| 31 | PHI 6-1 |
| 32 | LAN 6-2 |
| 33 | PHI 5-0 |
| 34 | PHI 7-6 |
| 35 | PHI 7-2 |
| 36 | PHI 7-1 |
| 37 | PHI 7-3 |
| 38 | PHI 7-4 |
| 39 | LAN 5-1 |
| 40 | PHI 6-0 |
| 41 | LAN 1-0 |
| 42 | LAN 2-0 |
| 43 | PHI 7-5 |
| 44 | LAN 7-5 |
| 45 | LAN 7-4 |
| 46 | LAN 7-3 |
| 47 | LAN 3-0 |
| 48 | PHI 8-3 |
| 49 | LAN 7-2 |
| 50 | LAN 6-1 |
|
Game Pitching Results |
||||||
| Pitcher | IP | SO | BB | HR | WHIP | FIP |
| H.Kuroda | 6.7 | 5.083 | 1.490 | 0.907 | 1.298 | 4.106 |
| C.Lee | 7.2 | 5.941 | 1.234 | 0.522 | 1.186 | 3.006 |
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.Furcal | .3099 | J.Rollins | .3393 |
| 2 | M.Kemp | .3414 | S.Victorino | .3479 |
| 3 | A.Ethier | .3018 | C.Utley | .3746 |
| 4 | M.Ramirez | .3580 | R.Howard | .3786 |
| 5 | C.Blake | .3123 | J.Werth | .3468 |
| 6 | J.Loney | .2980 | R.Ibanez | .3591 |
| 7 | R.Belliard | .3145 | P.Feliz | .2997 |
| 8 | R.Martin | .3014 | C.Ruiz | .3071 |
| 9 | H.Kuroda | .1461 | C.Lee | .1485 |
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i bet its 7-2 dodgers
Because when I think of Boris Diaw, I think of Beethoven and the age of Romanticism....

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