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All our statistical post-game MLB analyses, generated the day after each resolved game.

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⚾ MLB·Jul 2, 2026

TB @ KC

The Diamond Signal model projected Tampa Bay (TB) with a 49.3% projected probability of victory against Kansas City (KC), favoring TB with medium confidence. The final outcome—a 4-0 shutout victory for TB—validated the model’s directional call, though the margin of victory exceed

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⚾ MLB·Jul 2, 2026

NYM @ TOR

The Diamond Signal model projected a Toronto victory with a 52.0% probability, reflecting a modest but meaningful favored-team advantage over the public market’s 50.0%. The match outcome aligned with the model’s expectation, as the Blue Jays secured a decisive 9-3 win over the Me

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⚾ MLB·Jul 2, 2026

SD @ CHC

Diamond Signal’s pre-match projection assigned a 49.0 % probability to the San Diego Padres (SD) securing a victory against the Chicago Cubs (CHC), with the favored team (CHC) receiving a 51.0 % projected probability. The model’s medium-confidence "WATCH" signal indicated a close

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⚾ MLB·Jul 2, 2026

CWS @ BAL

The Diamond Signal’s pre-match projection of a Baltimore Orioles victory held true, with the team delivering as the favored side in a decisive 6-1 outcome. While the margin exceeded the projected run differential—our model did not specify an expected score, only a probabilistic o

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⚾ MLB·Jul 2, 2026

PIT @ PHI

The Diamond Signal model projected a Philadelphia victory with a 54.3% probability, favoring the home team. The game outcome validated this projection, as the Phillies secured a definitive 10-6 win over the Pirates. While the final score slightly exceeded the upper bound of a sin

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⚾ MLB·Jul 2, 2026

WSH @ BOS

Diamond Signal’s pre-match projection favored the Boston Red Sox with a 55.8% projected probability of victory, while assigning Washington a 44.2% chance. The model’s medium-confidence classification and "WATCH" signal suggested moderate volatility in the outcome, though the favo

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⚾ MLB·Jun 28, 2026

LAD @ SD

The Diamond Signal’s pre-match projection favored the Los Angeles Dodgers (LAD) with a 48.2% projected probability of victory, though the public prediction market assigned only a 35.4% chance to the same outcome—a divergence of +12.8 percentage points. In execution, the model’s f

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⚾ MLB·Jun 28, 2026

SEA @ CLE

The Diamond Signal projection favored Cleveland by a 55.2% to 44.8% margin, correctly anticipating the outcome despite the one-run differential. While the model anticipated a tighter contest, the fundamental outcome—CLE as the winning team—aligned with the statistical expectation

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⚾ MLB·Jun 28, 2026

AZ @ TB

Diamond Signal’s pre-match projection favored the Arizona Diamondbacks (AZ) at 47.0 % against the Tampa Bay Rays (TB), despite the public market assigning a higher probability of victory to TB at 56.7 %. The divergence of -9.7 points reflected a calibrated medium-confidence asses

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⚾ MLB·Jun 28, 2026

CIN @ PIT

The Diamond Signal’s pre-match projection favored Pittsburgh by a 57.3% to 42.7% margin, a 9.3-point calibration gap above the public market’s 48.0% assessment. The projected outcome was invalidated as Cincinnati secured a two-run victory in a high-scoring affair. Pittsburgh ente

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⚾ MLB·Jun 28, 2026

MIA @ STL

The Diamond Signal projected a 59.8% probability of victory for the St. Louis Cardinals (STL), favoring them over the Miami Marlins (MIA) in a matchup where public markets assigned a 56.4% chance to STL. The final outcome—MIA’s 5-1 victory—represented a meaningful divergence from

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⚾ MLB·Jun 28, 2026

COL @ MIN

The Diamond Signal model projected a Minnesota Twins victory with a 59.6% probability, favoring the home team by a moderate margin. The actual outcome diverged from this expectation, with the Colorado Rockies securing an 8-5 win. While the favored team did not prevail, the discre

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⚾ MLB·Jun 28, 2026

ATL @ SF

The Diamond Signal’s projection of a 57.0 % favored probability for SF against ATL on June 27, 2026, was validated by the final outcome. The Giants’ 5-0 victory over the Braves aligns with the model’s expectation, as SF held a decisive advantage both in the projection (57.0 % vs.

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⚾ MLB·Jun 28, 2026

CHC @ MIL

The Diamond Signal’s pre-match projection favored the Milwaukee Brewers (MIL) with a 59.9% probability of victory, a modest but clear edge over the Chicago Cubs (CHC) at 40.1%. The final score—an 8-2 Cubs victory—invalidated this projection. The divergence between the projected o

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⚾ MLB·Jun 28, 2026

TEX @ TOR

Diamond Signal’s pre-match projection assigned a 55.1% probability of victory to the Toronto Blue Jays (TOR), with the Texas Rangers (TEX) receiving a 44.9% projected probability. The model’s favored team was TOR, and the projection type was classified as SERIES_RULE with MEDIUM

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⚾ MLB·Jun 28, 2026

PHI @ NYM

The Diamond Signal model projected Philadelphia at 47.9% against the New York Mets, favoring the Phillies as the slight statistical favorite with medium confidence. The match concluded with a 4-run differential in favor of New York, invalidating the Diamond Signal’s projected out

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⚾ MLB·Jun 28, 2026

HOU @ DET

Diamond Signal’s pre-match projection assigned a 50.1% probability of victory to Detroit (DET), favoring them by a narrow margin over Houston (HOU) at 49.9%, with a medium confidence rating and a "WATCH" signal. The match outcome diverged from the statistical expectation, as Hous

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⚾ MLB·Jun 28, 2026

NYY @ BOS

The Diamond Signal projection indicated a narrow projected probability advantage for the New York Yankees (49.2 %) over the Boston Red Sox (50.8 %), with the favored team designated as NYY under a medium-confidence signal categorized as a WATCH. The final match outcome invalidate

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⚾ MLB·Jun 28, 2026

WSH @ BAL

The Diamond Signal projection favored the Baltimore Orioles (BAL) with a 51.1% projected probability of victory, while the public prediction market assigned a slightly higher 52.4% to BAL. The game outcome diverged from both models, as the Washington Nationals (WSH) secured a nar

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⚾ MLB·Jun 28, 2026

KC @ CWS

The Diamond Signal’s pre-match projection favored the Chicago White Sox (CWS) with a 55.2% projected probability of success, aligning closely with the 54.3% estimate from public prediction markets. The final outcome—CWS’s 2-1 victory—validated the analytical framework’s direction

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