Major League Baseball model projections

Major League Baseball predictions for Monday, August 31, 2026

Model win probabilities and confidence tiers for every Major League Baseball game on Monday, August 31, 2026, published before first pitch, tip or kick and graded automatically afterwards. Research and analytics only, not betting advice.

Games on the slate
12
4 published calls
Major League Baseball graded record
56.7%
89 wins, 68 losses across 157 graded calls

Major League Baseball matchups and model calls

  • Detroit Tigers at Minnesota Twins
    Model call: Minnesota Twins (70% confidence, Strong) · Final 1-11
    win
  • Athletics at Texas Rangers
    Model call: Texas Rangers (70% confidence, Strong) · Final 1-8
    win
  • Seattle Mariners at Boston Red Sox
    Model call: Boston Red Sox (70% confidence, Strong) · Final 8-9
    win
  • New York Mets at Tampa Bay Rays
    Model call: Tampa Bay Rays (70% confidence, Strong) · Final 3-2
    loss
  • San Francisco Giants at Atlanta Braves
    No published call, model passed on this game · Final 7-3
    loss
  • Baltimore Orioles at Colorado Rockies
    No published call, model passed on this game · Final 2-1
    loss
  • San Diego Padres at Cincinnati Reds
    No published call, model passed on this game · Final 5-0
    loss
  • Milwaukee Brewers at Chicago Cubs
    No published call, model passed on this game · Final 3-17
    win
  • New York Yankees at Los Angeles Angels
    No published call, model passed on this game · Final 1-10
    win
  • Chicago White Sox at Houston Astros
    No published call, model passed on this game · Final 3-6
    win
  • Miami Marlins at Washington Nationals
    No published call, model passed on this game · Final 3-6
    win
  • Philadelphia Phillies at Arizona Diamondbacks
    No published call, model passed on this game · Final 2-1
    loss

How these Major League Baseball projections are built

Each matchup runs through an ensemble of opponent-adjusted efficiency, recent form, availability of key players, rest and travel, and sport-specific factors. The blended output is calibrated against past results before a confidence tier is assigned, and games below the league publish floor are recorded as a pass instead of a call.

What calibration means

Reading the confidence tiers

Lean is a slight model preference, Moderate a clear one, and Strong is reserved for calls clearing both the confidence and edge floors for Major League Baseball. Every tier is graded separately in the public ledger, so you can check whether Strong calls actually outperform Lean calls over a real sample.

Confidence tiers explained

Recent Major League Baseball slates