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MLB · MATCHUP PREVIEW

Cleveland Guardians at Chicago White Sox

2026-10-08 · 4:00 PM CT · Scheduled · ALDS - Game 4 If Necessary

ESPN standings data retrieved October 6, 2026. MLB and WNBA comparisons use regular-season totals, separate from playoff results.

Season comparison · dated context, not live game statistics
MeasureCleveland GuardiansChicago White Sox
Record85-7784-78
Runs scored / game4.24.8
Runs allowed / game4.14.4
Runs differential+11+56
Home record41-4048-33
Road record44-3736-45
THE LAB READ

How this game can be won

Cleveland Guardians average 4.2 runs scored and 4.1 allowed; Chicago White Sox average 4.8 scored and 4.4 allowed. Those season numbers set the background. The starter and the available relievers can change what either lineup faces today.

Our first test is whether the lineup puts runners on before its hardest contact. A walk followed by a double creates a different inning from a double with two outs and nobody on. Watch good counts, contact and the hitters who extend an inning.

On the bases, watch whether a runner makes the next pitch harder to execute. A steal or an extra base on a hit can create a scoring chance without another long ball. It also has to be worth the risk of giving away an out.

The late innings are a separate matchup. Which relievers are available, and which hitters will they face with runners on? We do not assume a rested bullpen or a starting pitcher from a season record. Confirmed assignments belong in the next update.

THE LAB · OUR SIMULATION

Our matchup simulation

ESPN MLB completed box scores and play records, August 15–October 5. We apply the Lab measures, fit their relationship to the scoring margin, then sample possible results from the scoring errors observed in completed games.

Cleveland Guardians45.7%
Chicago White Sox54.3%
Projected marginChicago White Sox +0.1
Standard deviation4.4 runs
Middle 80% of margins-5 to +5Home minus away · runs
Market spreadNot available in the checked feed

Standard deviation shows how widely the simulated scoring margins vary. A larger number means a less steady outcome; it is not the error bar on the win percentage.

HOW THE SIMULATED GAMES FINISHED
-20+0+20Home team margin · runs
Home margin +0 to +4 runs43.0%probability in this margin range
Tap a bar or use Tab and Enter to see its margin and probability.

Cleveland GuardiansChicago White Sox

Where the factor edge comes from

Lab measureWeightHome − away · zBaseline margin effect
Power · ISO35%+0.00+0.0 runs
Contact / discipline30%+2.62+0.0 runs
Run pressure15%-0.98-0.0 runs
Bullpen · close-game pressure20%+0.40+0.0 runs

Positive effects favor Chicago White Sox; negative effects favor Cleveland Guardians. Both offense and defense enter the net factors. Home-court / field term +0.2 runs. These effects explain the fitted baseline; the simulation also varies its fitted coefficients and game outcomes.

Model inputs, variability and validation

Last 30 completed games with a five-game neutral net-factor prior. Power uses ISO; discipline uses (BB − K)/PA; running pressure uses (SB − 2 CS)/PA. Bullpen leverage uses relief traffic in inning seven or later within two runs: (2 × runs + baserunners)/PA, blended with whole-bullpen runs per inning. This is an editorial close-game pressure measure, not published leverage index. New MLB editorial weights 35/30/15/20 percent. Profiles use Completed games through October 5, 2026. Historical calibration uses only each game’s earlier factor data; 530 completed games fit the margin and home advantage.

Chronological check 127 held-out games; margin RMSE 4.1 runs; Brier score 0.248 (50/50 baseline 0.250; lower is better). The final fit then uses all available earlier games. This check is not proof of future calibration.

Outcome noise resamples observed scoring-margin errors, preserving the shape of the available results instead of imposing a bell curve. Bootstrap fits capture some uncertainty in the fitted coefficients. Between-batch win-rate standard deviation 2.7 percentage points. Monte Carlo sampling standard error 0.16 percentage points applies to the unsplit positive-margin frequency; it excludes model error. Zero-margin trials (0.4%) are split equally to estimate the final winner. That is an explicit overtime assumption, not a modeled overtime system.

Injuries, starting lineup changes, rest, travel and postseason rotation changes are not adjusted. The model uses no market odds. Forecast snapshot October 6 at 10:49 AM CT; only confirmed regular-season or playoff games in the following seven days qualify.

Full simulation method and league checks →

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