DET vs TBR
SP Freddy Peralta vs Troy Melton
AI Analysis Summary
Pitching — Tigers has the edge in SP FIP (1.6pp). Rays has the edge in SP xFIP (0.2pp). Tigers has the edge in Bullpen FIP (1.3pp).
Batting & Roster — Rays has the edge in Lineup wOBA (0.3pp). Rays has the edge in WAR (0.4pp). Tigers has the edge in Lineup xwOBA (0.4pp). Tigers has the edge in Barrel% (0.1pp).
Situational — Tigers has the edge in Home Advantage (5.6pp). Rays has the edge in Recent Form (15pp). Rays has the edge in Head-to-Head (1.5pp). Rays has the edge in Elo (0.2pp). Rays has the edge in Park Factor (0.2pp).
Combining 10 sabermetric factors, the quantitative model sees a slight edge with Rays ahead by 18pp.
10 Factor Breakdown
SP FIP
weight 12%Tigers has the edge in SP FIP (1.6pp).
Tigers edge · contribution +1.6pp
SP xFIP
weight 3%Rays has the edge in SP xFIP (0.2pp).
Rays edge · contribution -0.2pp
Bullpen FIP
weight 10%Tigers has the edge in Bullpen FIP (1.3pp).
Tigers edge · contribution +1.3pp
Lineup wOBA
weight 10%Rays has the edge in Lineup wOBA (0.3pp).
Rays edge · contribution -0.3pp
WAR
weight 8%Rays has the edge in WAR (0.4pp).
Rays edge · contribution -0.4pp
Recent Form
weight 10%Rays has the edge in Recent Form (15pp).
Rays edge · contribution -15pp
Head-to-Head
weight 3%Rays has the edge in Head-to-Head (1.5pp).
Rays edge · contribution -1.5pp
Lineup xwOBA
weight 5%Tigers has the edge in Lineup xwOBA (0.4pp).
Tigers edge · contribution +0.4pp
Barrel%
weight 3%Tigers has the edge in Barrel% (0.1pp).
Tigers edge · contribution +0.1pp
Elo
weight 10%Rays has the edge in Elo (0.2pp).
Rays edge · contribution -0.2pp
Cumulative Factor Impact (waterfall)
Starts at a neutral 50% → each factor's impact accumulates → final Tigers win probability. Right (green) = home favored / left (red) = away favored. Defense SFR is an unimplemented MLB placeholder (always neutral) and is omitted from this chart — Elo, recent form, and head-to-head are real per-team data.
Rays @ Tigers · final [15%, 85%] clamp
Recent Meetings (Rays vs Tigers)
Last 2 games — our model's prediction vs actual result
Model metadata
Quant model: mlb_v0.1 · generated 7h before game time