MLB matchup analysis
Rays vs Tigers Prediction, Odds and Model Pick
Monday, August 24, 2026 at Comerica Park · 6:40 PM ET
LyDia prediction: Tampa Bay Rays moneyline
The case for Tampa Bay Rays
The case for Detroit Tigers
Why it is not official
Why the setup score is what it is
Why the price is what it is
Read the full model output
Tampa Bay Rays remains on the watchlist. Lab Rating 6.8/10: conviction 8.93, pitching plan 20, bullpen 10, offense 29.25. LyDia projects 72.9% against a 54.6% no-vig market number, a 18.3% model edge at -126. Tampa Bay Rays owns the starting pitcher edge by 22 points. Bullpen read: Elevated volatility. Tampa Bay Rays's pen efficiency: Average (4.8/10). Lineup check: Tampa Bay Rays is a touch above its season form (+0.024 OPS); Detroit Tigers is in a cold stretch (-0.083 OPS). Recent form supports this side and is included in the unified run projection.
Game information
| Matchup | Tampa Bay Rays at Detroit Tigers |
|---|---|
| Date | Monday, August 24, 2026 |
| First pitch | 6:40 PM ET |
| Venue | Comerica Park |
| Starting pitchers | Drew Rasmussen vs Framber Valdez |
| Weather | Game-time forecast: 73°F, 0% precipitation chance, 5 mph wind from W. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Rays | Tigers |
|---|---|---|
| Pitching plan | Traditional starter | Traditional starter |
| Expected innings | 5⅔ | 5⅔ |
| Throws | R | L |
| LyDia pitcher score (higher is better) | 80 | 58 |
| ERA (lower is better) | 3.01 | 4.35 |
| WHIP (lower is better) | 0.95 | 1.40 |
| K/9 (higher is better) | 9.2 | 7.2 |
| K-BB% (higher is better) | 21.4% | 9.3% |
| K% (higher is better) | 26.1% | 18.1% |
| BB% (lower is better) | 4.7% | 8.8% |
| BB/9 (lower is better) | 1.7 | 3.5 |
| HR/9 (lower is better) | 0.9 | 0.8 |
| Ground-ball rate | 51.0% | 59.7% |
| Fly-ball rate | 49.0% | 40.3% |
Pitcher edge: LyDia gives Drew Rasmussen a 22-point edge over Framber Valdez, driven mainly by K-BB% (21.4% vs 9.3%) and WHIP (0.95 vs 1.40).
How to read this: the scorecards above name the starters; every number lives in this table. Highlighted cells mark a gap big enough to matter. K% and BB% are strikeout and walk rate as a share of batters faced -- K-BB% is the two combined into one skill number. HR/9 is home runs allowed per nine innings. Ground-ball and fly-ball rate are neither good nor bad on their own: high ground-ball pitchers trade strikeouts for double plays and fewer home runs, and on this data source the two rates are complementary (they add to 100%), not independent reads.
Strikeout Projections Full strikeout projections →
Same data source as the Pitcher Matchup Tool, where every starter on the slate is compared side by side.
Recent form
Full Stats page →Rays are 3-7 in their last 10, averaging 5.1 runs per game over the last 15 days, and swinging above their season form; Tigers are 2-8 in their last 10, averaging 3.9 runs per game over the last 15 days, and hitting below their season form. Season run differential separates them by almost nothing (+0.34 against +0.56).
| Metric | Rays | Tigers |
|---|---|---|
| Last 10 | 3-7 | 2-8 |
| Last 10 by venue (away team on the road, home team at home) | 8-2 on the road | 3-7 at home |
| OPS, last 15 days | 0.758 | 0.640 |
| wOBA, last 15 days (hot/cold read) | 0.333 | 0.288 |
| Runs per game, last 15 days | 5.1 | 3.9 |
| K% last 15 days (lower is better) | 15.0% | 20.1% |
Last 15 days only. Hot and cold streaks for all 30 teams live on the Stats page.
30-day offense
Full offense tool →| Last 30 days | Rays | Tigers |
|---|---|---|
| OPS | 0.716 (-0.018 vs szn) | 0.768 (+0.045 vs szn) |
| Runs per game | 4.33 (-0.182 vs szn) | 5.69 (+1.177 vs szn) |
| wOBA (model offense input) | 0.314 (-0.010 vs szn) | 0.339 (+0.019 vs szn) |
| K% (lower is better) | 17.4% (-1.2% vs szn) | 19.2% (-3.2% vs szn) |
Over the last 30 days the Tigers have been the better offense, 0.339 wOBA to 0.314. They are running hot against their own season line (+0.019 wOBA).
Season profile
Full Stats page →| Metric | Rays | Tigers |
|---|---|---|
| Record | 77-53 | 61-69 |
| Run differential / game (team quality) | +0.34 | +0.56 |
| Runs scored / game (offense, season) | 4.52 | 4.52 |
| Runs allowed / game (defense, season, lower better) | 4.18 | 3.95 |
| Season OPS | 0.734 | 0.723 |
| K% season (lower is better) | 18.7% | 22.4% |
| OPS vs opposing hand (season) | 0.682 | 0.736 |
Season-long team quality, not recent form. Run differential and run environment come from the season standings; splits for all 30 teams live on the Stats page, including the run environment table.
The Map
Full interactive map →Every team on today's slate, on any two axes you pick. Rays and Tigers are highlighted.
Bullpen matchup
Full Bullpen Fatigue Index →Risk is what the model actually uses: fatigue blended with how well the pen has pitched. High fatigue with high efficiency is a tired pen that is still getting outs.
| Metric | Rays | Tigers |
|---|---|---|
| Fatigue | 7.4/10, Tired | 6.7/10, Tired |
| Efficiency | 4.8/10, Average | 3.5/10, Below average |
| Combined risk | 7.5/10, Tired | 7.5/10, Tired |
| Relief innings, last 7 days | 27.0 | 23.0 |
| Back-to-back arms | 6 | 2 |
| 7-day ERA | 4.33 | 6.65 |
| 7-day WHIP | 1.37 | 1.30 |
Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.
Run total projection
Full Totals Projections →The model projects 1.5 runs above the market total. A research lean still requires a setup rating of at least 7.0/10. Team totals remain research-only until their graded sample is established.
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