MLB matchup analysis

Rangers vs White Sox Prediction, Odds and Model Pick

Wednesday, August 26, 2026 at Rate Field · 7:40 PM ET

Pass

LyDia decision: Pass on Rangers vs White Sox

Lab Rating
6.2/10
Model lean
White Sox 66.6%
Market probability
54.8%
Model edge
+11.8%
Best moneyline
-129
Sportsbooks checked
9
LyDia model
66.6%
Market
54.8%

The case for Chicago White Sox

Starting pitcher edge: 10 points
LyDia gives Sean Burke a 10-point edge over MacKenzie Gore, driven mainly by ERA (3.27 vs 4.26) and BB/9 (2.6 vs 3.2).
Bats are hot: +0.019 wOBA
Chicago White Sox is outhitting its own season form over the last 15 days. Recent form is context, not a model input, but it points the same way here.

The case for Texas Rangers

The case is thin
The model finds little going Texas Rangers's way — it trails on the pitching plan, bullpen, and recent form. The main path to a Texas Rangers win is variance.

Why it is not official

Setup quality below the bar
Lab Rating is 6.2/10, under the 7.2/10 required for an official pick.
Own bullpen carries risk: 8.5/10
The Chicago White Sox bullpen comes in high risk. A lead after six innings is less safe than usual.

Why the setup score is what it is

Conviction: 5.82/10
LyDia's win probability for Chicago White Sox (66.6%) is well clear of a coin flip -- this is a real, stated lean, not a guess.
Pitching plan: 15/30
Sean Burke rates 10 points better than MacKenzie Gore on LyDia's pitcher score. That is a real edge, and it earns most or all of the available credit here.
Bullpen: 3.74/10
LyDia does not see a meaningful bullpen edge for Chicago White Sox here.
Offense: 37.46/50
Chicago White Sox's recent offensive form clearly outpaces Texas Rangers's over the tracked windows.

Why the price is what it is

Team strength: 53.6%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes Chicago White Sox 53.6% to win. Everything below moves the price from this starting point.
Pitcher score gap: 10 points
The pitcher-score gap favors Chicago White Sox by 10 points. This is the biggest single mover of the price -- a large gap moves it a lot, a small gap barely moves it.
Bullpen adjustment: -0.039
The bullpen-fatigue gap between the two pens nudges the price toward Texas Rangers. This moves the price less than the starting pitchers do, since a starter covers more of the game than the bullpen.
Net effect: 53.6% -> 66.6%
Team strength alone had Chicago White Sox at 53.6%. After the pitcher and bullpen terms, the price is 66.6% -- the same number shown as Model Lean above.
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

MatchupTexas Rangers at Chicago White Sox
DateWednesday, August 26, 2026
First pitch7:40 PM ET
VenueRate Field
Starting pitchersMacKenzie Gore vs Sean Burke
WeatherGame-time forecast: 79°F, 5% precipitation chance, 9 mph wind from NW.

Starting pitcher matchup

Full Pitcher Matchup Tool →
MacKenzie GoreRangers · LHP
vs
Sean BurkeWhite Sox · RHP
MetricRangersWhite Sox
Pitching planTraditional starterTraditional starter
Expected innings5⅓5⅔
ThrowsLR
LyDia pitcher score (higher is better)6575
ERA (lower is better)4.263.27
WHIP (lower is better)1.231.11
K/9 (higher is better)9.99.7
K-BB% (higher is better)17.6%19.5%
K% (higher is better)26.0%26.5%
BB% (lower is better)8.4%7.0%
BB/9 (lower is better)3.22.6
HR/9 (lower is better)1.11.0
Ground-ball rate43.4%37.8%
Fly-ball rate56.6%62.2%

Pitcher edge: LyDia gives Sean Burke a 10-point edge over MacKenzie Gore, driven mainly by ERA (3.27 vs 4.26) and BB/9 (2.6 vs 3.2).

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 →

MacKenzie Gore strikeouts
6.2 LyDia projected Ks
No K play · -0.3K difference is below LyDia's 0.7K threshold
Market 6.5K · O +114 / U -132 · 4 books
Sean Burke strikeouts
6.4 LyDia projected Ks
Qualifying projection: OVER 5.5K · +0.9K difference
Market 5.5K · O -147 / U +122 · 4 books

Same data source as the Pitcher Matchup Tool, where every starter on the slate is compared side by side.

Rangers are 6-4 in their last 10 and averaging 3.3 runs per game over the last 15 days; White Sox are 5-5 in their last 10 and averaging 4.9 runs per game over the last 15 days. On the season White Sox carry the better run differential per game (+0.29 against -0.31).

MetricRangersWhite Sox
Last 106-45-5
Last 10 by venue (away team on the road, home team at home)3-7 on the road5-5 at home
OPS, last 15 days0.6860.775
wOBA, last 15 days (hot/cold read)0.3040.340
Runs per game, last 15 days3.34.9
K% last 15 days (lower is better)22.9%24.0%

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 daysRangersWhite Sox
OPS0.671 (-0.042 vs szn)0.725
Runs per game3.43 (-0.624 vs szn)4.64 (-0.137 vs szn)
wOBA (model offense input)0.298 (-0.018 vs szn)0.321
K% (lower is better)24.4% (+1.6% vs szn)25.2% (+1.2% vs szn)

Over the last 30 days the White Sox have been the better offense, 0.321 wOBA to 0.298. White Sox are striking out at 25.2% over the window — something the opposing starter can lean on.

Season profile

Full Stats page →
MetricRangersWhite Sox
Record66-6769-63
Run differential / game (team quality)-0.31+0.29
Runs scored / game (offense, season)4.054.78
Runs allowed / game (defense, season, lower better)4.364.49
Season OPS0.7130.727
K% season (lower is better)22.8%24.0%
OPS vs opposing hand (season)0.6990.727

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.

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

Rangers
Combined risk
7.2 Tired
Fatigue
7.4 Tired
Efficiency
5.5 Effective
White Sox
Combined risk
8.5 High risk
Fatigue
8.7 High risk
Efficiency
5.5 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.

MetricRangersWhite Sox
Fatigue7.4/10, Tired8.7/10, High risk
Efficiency5.5/10, Effective5.5/10, Effective
Combined risk7.2/10, Tired8.5/10, High risk
Relief innings, last 7 days25.340.7
Back-to-back arms84
7-day ERA3.553.54
7-day WHIP1.221.20

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
7.1
Market total
8.0
Projected away runs
2.3
Projected home runs
4.5
Over price
+103
Under price
-110
Texas Rangers team total
2.3 projected
Line 3.5 · O -115 / U -104
Under research lean (-1.2)
Chicago White Sox team total
4.5 projected
Line 3.5 · O -135 / U +114
Over research lean (+1.0)

The model projects 0.9 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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