MLB matchup analysis
White Sox vs Rays Prediction, Odds and Model Pick
Friday, July 31, 2026 at Tropicana Field · 7:10 PM ET
LyDia decision: Pass on White Sox vs Rays
The case for Tampa Bay Rays
Why it is not official
Why the setup score is what it is
Read the full model output
Market is higher than LyDia's model probability.
Game information
| Matchup | Chicago White Sox at Tampa Bay Rays |
|---|---|
| Date | Friday, July 31, 2026 |
| First pitch | 7:10 PM ET |
| Venue | Tropicana Field |
| Starting pitchers | Erick Fedde vs Nick Martinez |
| Weather | Game-time forecast: 82°F, 7% precipitation chance, 6 mph wind from W. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | White Sox | Rays |
|---|---|---|
| Pitching plan | Traditional starter | Traditional starter |
| Expected innings | 4.8 | 5.9 |
| Throws | R | R |
| LyDia pitcher score (higher is better) | 57 | 79 |
| BB/9 (lower is better) | 3.3 | 1.5 |
| HR/9 (lower is better) | 1.8 | 0.8 |
| Ground-ball rate | 45.3% | 39.4% |
| IP per start (higher is better) | 4.8 | 5.9 |
Pitcher edge: LyDia gives Nick Martinez a 22-point edge over Erick Fedde, driven mainly by BB/9 (1.5 vs 3.3) and HR/9 (0.84 vs 1.76).
How to read this: the scorecards show ERA, WHIP, K/9, and K-BB%. The table adds complementary traits without repeating them. Highlighted cells mark a gap big enough to matter. HR/9 is home runs allowed per nine innings. Ground-ball rate is neither good nor bad on its own: high ground-ball pitchers trade strikeouts for double plays and fewer home runs.
Strikeout Projections Full strikeout projections →
Projections are self-calibrated against graded results (100 graded starts). Official K picks require a 0.7+ strikeout edge, a posted price from at least two books, and a confirmed non-opener workload of at least four expected innings.
Same data source as the Pitcher Matchup Tool, where every starter on the slate is compared side by side.
Recent form
Full Stats page →White Sox are 5-5 in their last 10, averaging 4.8 runs per game over the last 15 days, and hitting below their season form; Rays are 8-2 in their last 10 and averaging 4.0 runs per game over the last 15 days. Season run differential separates them by almost nothing (+0.40 against +0.40).
| Metric | White Sox | Rays |
|---|---|---|
| Last 10 | 5-5 | 8-2 |
| OPS, last 15 days | 0.667 | 0.720 |
| Runs per game, last 15 days | 4.8 | 4.0 |
| K% last 15 days (lower is better) | 23.6% | 21.0% |
Last 15 days only. Hot and cold streaks for all 30 teams live on the Stats page.
Season profile
Full Stats page →| Metric | White Sox | Rays |
|---|---|---|
| Record | 57-51 | 64-44 |
| Run differential / game (team quality) | +0.40 | +0.40 |
| Runs scored / game (offense, season) | 4.78 | 4.45 |
| Runs allowed / game (defense, season, lower better) | 4.38 | 4.06 |
| Season OPS | 0.724 | 0.733 |
| K% season (lower is better) | 23.7% | 19.2% |
| OPS vs opposing hand (season) | 0.728 | 0.752 |
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. White Sox and Rays 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 | White Sox | Rays |
|---|---|---|
| Fatigue | 9.7/10, High risk | 10.0/10, High risk |
| Efficiency | 8.0/10, Dominant | 7.4/10, Effective |
| Combined risk | 8.2/10, High risk | 8.8/10, High risk |
| Relief innings, last 3 days | 14.7 | 18.3 |
| Back-to-back arms | 5 | 4 |
| 3-day ERA | 0.00 | 1.47 |
| 3-day WHIP | 0.95 | 0.82 |
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 5.1 runs below 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.
More games today
All matchups →What could change the prediction
- A listed starting pitcher is scratched or replaced.
- The moneyline moves enough to remove the current model edge.
- A confirmed lineup materially changes the offensive matchup.
- Late bullpen availability differs from the recent workload data.
- Weather or roof conditions change before first pitch.
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