Major League Baseball predictions for Wednesday, August 26, 2026
Model win probabilities and confidence tiers for every Major League Baseball game on Wednesday, August 26, 2026, published before first pitch, tip or kick and graded automatically afterwards. Research and analytics only, not betting advice.
Major League Baseball matchups and model calls
- lossColorado Rockies at Washington NationalsModel call: Washington Nationals (70% confidence, Strong) · Final 13-1
- winPittsburgh Pirates at San Diego PadresModel call: San Diego Padres (70% confidence, Strong) · Final 0-3
- winHouston Astros at New York YankeesModel call: New York Yankees (70% confidence, Strong) · Final 3-9
- winTexas Rangers at Chicago White SoxModel call: Chicago White Sox (70% confidence, Strong) · Final 4-10
- winKansas City Royals at Toronto Blue JaysModel call: Toronto Blue Jays (70% confidence, Strong) · Final 0-3
- lossBaltimore Orioles at St. Louis CardinalsModel call: St. Louis Cardinals (70% confidence, Strong) · Final 8-7
- winBoston Red Sox at Miami MarlinsNo published call, model passed on this game · Final 0-4
- winLos Angeles Dodgers at Atlanta BravesNo published call, model passed on this game · Final 5-6
- lossTampa Bay Rays at Detroit TigersNo published call, model passed on this game · Final 3-0
- winChicago Cubs at Arizona DiamondbacksNo published call, model passed on this game · Final 0-2
- lossCleveland Guardians at Los Angeles AngelsNo published call, model passed on this game · Final 4-3
- winMinnesota Twins at AthleticsNo published call, model passed on this game · Final 4-7
- lossCincinnati Reds at San Francisco GiantsNo published call, model passed on this game · Final 10-9
- lossPhiladelphia Phillies at Seattle MarinersNo published call, model passed on this game · Final 6-0
- lossMilwaukee Brewers at New York MetsNo published call, model passed on this game · Final 8-1
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 meansReading 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