I used my simulator to simulate 25000 baseball games between the Giants 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.
Today's Results... (Last simulation ran at 9:00AM)
|Visitors||Home||Pitching Matchup||Favorite||Vegas Win Prob||Simulator Win Prob||Over/Under||AccuScore|
|LAN||SF||V.Padilla vs J.Sanchez||SF||51.69%
||8.2 / 8.61||46%|
Skinny: Simulator Fun Facts... The simulator and Vegas are in agreement on today's game being pretty much a tossup. AccuScore is the outlier today, making the Dodgers a slight favorite to win.
Top 10 Most Likely Scores
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.