MLB: Baltimore Orioles vs. Toronto Blue Jays
The Baltimore Orioles are 33-21 on the road this season and are heavy favorites to beat the Toronto Blue Jays who are 26-28 at home. The Orioles have a better than 55% chance of winning based on 10,000 game simulations generated one play at a time by the AccuScore Simulation Supercomputer. Orioles starter Dean Kremer is forecasted to have a better game than Blue Jays starter Kevin Gausman. Dean Kremer has a 55% chance of having a Quality Start (QS) while Kevin Gausman has a 47% chance of a QS. If Dean Kremer has a quality start the Orioles has a 77% chance of winning. His simulated strikeout to walk ratio is 3.1 and he has a 26% chance of having a 5 to 1 K/BB ratio. When he has a 5/1 ratio the Orioles win 63%. In Kevin Gausman quality starts the Blue Jays win 60%. He has a 45% chance of having a 5 to 1 K/BB ratio and if he does his team wins 60% of simulations. In simulations we tracked the batter for each team that was most productive based his average hits, walks and RBI per simulation. The most productive batter for the Toronto Blue Jays is Vladimir Guerrero Jr. who averaged 2.18 hits+walks+RBI. He has a 36% chance of having a big game with 3+ Hits, Walks, RBI and if he has a big game the Blue Jays have a 52% chance of winning. The most productive batter for the Baltimore Orioles is Gunnar Henderson who averaged 2.2 hits+walks+RBI. He has a 34% chance of having a big game with 3+ Hits, Walks, RBI and if he has a big game the Orioles have a 75% chance of winning.
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