MLB matchup analysis

Yankees vs White Sox Prediction, Odds and Model Pick

Thursday, July 30, 2026 at Rate Field · 2:10 PM ET

Pass

LyDia decision: Pass on Yankees vs White Sox

Lab Rating
3.6/10
Model probability
54.9%
Market probability
51.2%
Model edge
+3.7%
Best moneyline
-110
Sportsbooks checked
9
LyDia model
54.9%
Market
51.2%

The case for Chicago White Sox

Market mispricing: +3.7%
LyDia makes Chicago White Sox 54.9% to win while the no-vig market says 51.2%. LyDia rates this side +3.7% better than the price implies, and that gap is why the game is on the board.
Starting pitcher edge: 10 points
Chicago White Sox sends the clearly better starter by LyDia's pitcher score. Gaps this size are one of the model's strongest inputs.

Why it is not official

Below the 72.0% official gate
Win probability is 54.9%. LyDia does not make a game official below 72.0%, no matter how good the price is. This is a value spot, not a high-confidence winner.
Setup quality below the bar
Lab Rating is 3.6/10, under the 8.0/10 required for an official pick.
Own bullpen carries risk: 8.5/10
Chicago White Sox's pen comes in high risk. A lead after six innings is less safe than usual.
The verdict LyDia passes. The combined Lab Rating did not clear the official threshold.
Read the full model output

The combined Lab Rating did not clear the official threshold.

Game information

MatchupNew York Yankees at Chicago White Sox
DateThursday, July 30, 2026
First pitch2:10 PM ET
VenueRate Field
Starting pitchersRyan Weathers vs Sean Burke
WeatherGame-time forecast: 77°F, 0% precipitation chance, 7 mph wind from E.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Ryan WeathersYankees · LHP
4.25ERA
1.27WHIP
10.2K/9
20.2%K-BB%
vs
Sean BurkeWhite Sox · RHP
3.19ERA
1.12WHIP
9.9K/9
19.7%K-BB%
MetricYankeesWhite Sox
Pitching planTraditional starterTraditional starter
Expected innings5.45.5
ThrowsLR
LyDia pitcher score (higher is better)6575
BB/9 (lower is better)2.52.7
HR/9 (lower is better)1.41.0
Ground-ball rate50.0%39.2%
IP per start (higher is better)5.45.5

Pitcher edge: LyDia gives Sean Burke a 10-point edge over Ryan Weathers, driven mainly by HR/9 (0.99 vs 1.42) and ERA (3.19 vs 4.25).

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 →

Ryan Weathers strikeouts
7.2 LyDia projected Ks
Official pick: OVER 6.5K · +0.7K difference
Market 6.5K · O +124 / U -140 · 6 books
Sean Burke strikeouts
6.8 LyDia projected Ks
No K play · -0.7K difference is below LyDia's 0.7K threshold
Market 7.5K · O +102 / U -123 · 6 books

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.

Yankees are 7-3 in their last 10, averaging 3.6 runs per game over the last 15 days, and hitting below their season form; White Sox are 5-5 in their last 10, averaging 5.0 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 (+0.81 against +0.39).

MetricYankeesWhite Sox
Record61-4756-51
Last 107-35-5
Run differential / game (team quality)+0.81+0.39
Runs scored / game (offense)4.684.80
Runs allowed / game (defense, lower better)3.864.41
OPS, last 15 days0.6100.678
Season OPS0.7270.725
OPS change-0.117-0.047
Runs per game, last 15 days3.65.0
K% season (lower is better)24.3%23.7%
K% last 15 days26.6%23.4%
OPS vs opposing hand0.7260.720

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.

Every team on today's slate, on any two axes you pick. Yankees and White Sox are highlighted.

Yankees
Combined risk
8.7 High risk
Fatigue
8.8 High risk
Efficiency
5.3 Average
White Sox
Combined risk
8.5 High risk
Fatigue
8.8 High risk
Efficiency
5.6 Effective

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.

MetricYankeesWhite Sox
Fatigue8.8/10, High risk8.8/10, High risk
Efficiency5.3/10, Average5.6/10, Effective
Combined risk8.7/10, High risk8.5/10, High risk
Relief innings, last 3 days14.015.3
Back-to-back arms54
3-day ERA3.863.52
3-day WHIP1.211.17

Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.

Run total projection

Full Totals Projections →
LyDia projection
4.9
Market total
7.5
Projected away runs
2.1
Projected home runs
2.8
Over price
+107
Under price
-115
New York Yankees team total
2.1 projected
Line 3.5 · O -113 / U -105
Under research lean (-1.4)
Chicago White Sox team total
2.8 projected
Line 3.5 · O -102 / U +100
Under research lean (-0.7)

The model projects 2.6 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.

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