MLB matchup analysis
Yankees vs White Sox Prediction, Odds and Model Pick
Tuesday, July 28, 2026 at Rate Field · 7:40 PM ET
LyDia decision: Pass on Yankees vs White Sox
The case for New York Yankees
Why it is not official
Read the full model output
Market is higher than LyDia's model probability.
Game information
| Matchup | New York Yankees at Chicago White Sox |
|---|---|
| Date | Tuesday, July 28, 2026 |
| First pitch | 7:40 PM ET |
| Venue | Rate Field |
| Starting pitchers | Gerrit Cole vs Anthony Kay |
| Weather | Game-time forecast: 67°F, 0% precipitation chance, 10 mph wind from N. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Yankees | White Sox |
|---|---|---|
| Pitching plan | Traditional starter | Traditional starter |
| Expected innings | 5.6 | 4.8 |
| Throws | R | L |
| LyDia pitcher score (higher is better) | 69 | 58 |
| BB/9 (lower is better) | 1.7 | 3.7 |
| HR/9 (lower is better) | 1.6 | 1.3 |
| Ground-ball rate | 34.7% | 48.6% |
| IP per start (higher is better) | 5.6 | 4.8 |
Pitcher edge: LyDia gives Gerrit Cole a 11-point edge over Anthony Kay, driven mainly by K-BB% (21.2% vs 9.0%) and BB/9 (1.7 vs 3.7).
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 (96 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 →Yankees are 6-4 in their last 10, averaging 3.5 runs per game over the last 15 days, and hitting below their season form; White Sox are 5-5 in their last 10, averaging 5.2 runs per game over the last 15 days, and hitting below their season form. On the season Yankees carry the better run differential per game (+0.83 against +0.40).
| Metric | Yankees | White Sox |
|---|---|---|
| Record | 60-46 | 55-50 |
| Last 10 | 6-4 | 5-5 |
| Run differential / game (team quality) | +0.83 | +0.40 |
| Runs scored / game (offense) | 4.69 | 4.82 |
| Runs allowed / game (defense, lower better) | 3.86 | 4.42 |
| OPS, last 15 days | 0.622 | 0.697 |
| Season OPS | 0.731 | 0.729 |
| OPS change | -0.109 | -0.032 |
| Runs per game, last 15 days | 3.5 | 5.2 |
| K% season (lower is better) | 24.3% | 23.6% |
| K% last 15 days | 27.0% | 22.6% |
| OPS vs opposing hand | 0.734 | 0.731 |
Run differential and run environment come from the season standings; offense splits for all 30 teams live on the Stats page, including hot and cold streaks and the run environment table.
The Map
Full interactive map →Every team on today's slate, on any two axes you pick. Yankees and White Sox 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 | Yankees | White Sox |
|---|---|---|
| Fatigue | 8.2/10, High risk | 9.1/10, High risk |
| Efficiency | 5.2/10, Average | 4.7/10, Average |
| Combined risk | 8.1/10, Tired | 9.3/10, High risk |
| Relief innings, last 3 days | 14.3 | 13.3 |
| Back-to-back arms | 3 | 4 |
| 3-day ERA | 3.77 | 4.73 |
| 3-day WHIP | 1.33 | 1.28 |
Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.
Run total projection
Full Totals Projections →Official total pick: Over 8.0. The model projects 2.9 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.
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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