I used my simulator to simulate 100000 baseball games between the Yankees and Angels 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 at 10PM on Monday)
|Visitors||Home||Pitching Matchup||Favorite||Vegas Win Prob||Simulator Win Prob||AccuScore|
|NYA||LAA||C.Sabathia vs S.Kazmir||NYA||56.14%||56.32%||60%|
Skinny: Simulator Fun Facts... Vegas and my Simulator are almost in perfect agreement as to the win probability for Game #4. This is obviously another must win game for the Angels, and the road to the World Series goes through the chubby CC Sabathia. AccuScore comes in with the Yankees as 60% favorites. On Monday we ended up with the third most likely score, let's see if the teams can improve on that on Tuesday. :)
Top 50 Most Likely Scores
Game Pitching Results
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.