Mac Douglass endorsed taking the Blue Jays at +1.5 runs (-190) against Detroit after Dimers’ predictive model spit out a 68.4% win probability and a 2.9% long-term edge over the listed price. The pick is built on thousands of Monte Carlo simulations that factor in projected starting-pitcher matchups, bullpen usage, park factors at Rogers Centre, and each lineup’s weighted on-base averages versus right-handed pitching. Because the Tigers’ offense ranks bottom-five in runs per game on the road and Toronto’s pen owns the fifth-best ERA in May, the model expects a tight, low-scoring game where the extra run and a half becomes highly valuable. Douglass labeled it the highest-probability play on Sunday’s slate and a cornerstone wager for bettors seeking safe bankroll growth.