MLB matchup analysis

Mets vs White Sox Prediction, Odds and Model Pick

Friday, August 21, 2026 at Rate Field · 7:40 PM ET

Pass

LyDia decision: Pass on Mets vs White Sox

Lab Rating
5.2/10
Model lean
White Sox 70.9%
Market probability
56.8%
Model edge
+14.2%
Best moneyline
-138
Sportsbooks checked
9
LyDia model
70.9%
Market
56.8%

The case for Chicago White Sox

Starting pitcher edge: 12 points
LyDia gives Sean Burke a 12-point edge over Sean Manaea, driven mainly by WHIP (1.11 vs 1.32) and ERA (3.15 vs 4.22).
Bats are hot: +0.020 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 New York Mets

Late-inning bullpen advantage
Chicago White Sox relievers have a 2.55 ERA over the last 7 days; New York Mets relievers have a 1.25. Chicago White Sox also have 9 arms pitching on back-to-back days, against 3 for New York Mets. If this is still close after six innings, that gap favors New York Mets.
Their bats are hot: +0.034 wOBA
New York Mets is outhitting its own season form over the last 15 days.

Why it is not official

Setup quality below the bar
Lab Rating is 5.2/10, under the 8.0/10 required for an official pick.
Own bullpen carries risk: 9.4/10
The Chicago White Sox bullpen comes in high risk. A lead after six innings is less safe than usual.
Opponent is swinging it
The other lineup is +0.034 wOBA above its season form over the last 15 days.

Why the setup score is what it is

Conviction: 20/20
LyDia's win probability for Chicago White Sox (70.9%) is well clear of a coin flip -- this is a real, stated lean, not a guess.
Pitching plan: 12/20
Sean Burke rates 12 points better than Sean Manaea on LyDia's pitcher score. That is a real edge, and it earns most or all of the available credit here.
Bullpen: 1.19/20
LyDia does not see a meaningful bullpen edge for Chicago White Sox here.
Offense: 19.03/40
Chicago White Sox's recent form does not clearly outpace New York Mets's.

Why the price is what it is

Team strength: 54.3%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes Chicago White Sox 54.3% to win. Everything below moves the price from this starting point.
Pitcher score gap: 12 points
The pitcher-score gap favors Chicago White Sox by 12 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: -0.144
The bullpen-fatigue gap between the two pens nudges the price toward New York Mets. This moves the price less than the starting pitchers do, since a starter covers more of the game than the bullpen.
Net effect: 54.3% -> 70.9%
Team strength alone had Chicago White Sox at 54.3%. After the pitcher and bullpen terms, the price is 70.9% -- 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

MatchupNew York Mets at Chicago White Sox
DateFriday, August 21, 2026
First pitch7:40 PM ET
VenueRate Field
Starting pitchersSean Manaea vs Sean Burke
WeatherGame-time forecast: 74°F, 9% precipitation chance, 4 mph wind from SW.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Sean ManaeaMets · LHP
vs
Sean BurkeWhite Sox · RHP
MetricMetsWhite Sox
Pitching planTraditional starterTraditional starter
Expected innings5⅔5⅓
ThrowsLR
LyDia pitcher score (higher is better)6375
ERA (lower is better)4.223.15
WHIP (lower is better)1.321.11
K/9 (higher is better)9.29.9
K-BB% (higher is better)15.8%19.6%
K% (higher is better)23.5%27.0%
BB% (lower is better)7.7%7.4%
BB/9 (lower is better)3.02.7
HR/9 (lower is better)1.31.0
Ground-ball rate44.0%36.8%
Fly-ball rate56.0%63.2%

Pitcher edge: LyDia gives Sean Burke a 12-point edge over Sean Manaea, driven mainly by WHIP (1.11 vs 1.32) and ERA (3.15 vs 4.22).

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 →

Sean Manaea strikeouts
7.3 LyDia projected Ks
Official pick: OVER 5.5K · +1.9K difference
Market 5.5K · O -132 / U +115 · 5 books
Sean Burke strikeouts
6.8 LyDia projected Ks
No K play · +0.3K difference is below LyDia's 0.7K threshold
Market 6.5K · O +112 / U -135 · 5 books

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

Mets are 7-3 in their last 10, averaging 4.8 runs per game over the last 15 days, and swinging above their season form; White Sox are 5-5 in their last 10, averaging 5.1 runs per game over the last 15 days, and swinging above their season form. On the season White Sox carry the better run differential per game (+0.35 against -0.33).

MetricMetsWhite Sox
Last 107-35-5
Last 10 by venue (away team on the road, home team at home)6-4 on the road5-5 at home
OPS, last 15 days0.7760.772
wOBA, last 15 days (hot/cold read)0.3420.340
Runs per game, last 15 days4.85.1
K% last 15 days (lower is better)22.3%23.5%

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 daysMetsWhite Sox
OPS0.728 (+0.033 vs szn)0.714 (-0.012 vs szn)
Runs per game4.42 (+0.275 vs szn)4.67 (-0.097 vs szn)
wOBA (model offense input)0.321 (+0.013 vs szn)0.317
K% (lower is better)24.9% (+2.2% vs szn)24.3%

Over the last 30 days the Mets have been the better offense, 0.321 wOBA to 0.317. They are running hot against their own season line (+0.013 wOBA). Mets are striking out at 24.9% over the window — something the opposing starter can lean on.

Season profile

Full Stats page →
MetricMetsWhite Sox
Record58-7066-61
Run differential / game (team quality)-0.33+0.35
Runs scored / game (offense, season)4.154.76
Runs allowed / game (defense, season, lower better)4.484.41
Season OPS0.6950.726
K% season (lower is better)22.7%23.9%
OPS vs opposing hand (season)0.6920.729

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. Mets and White Sox are highlighted.

Mets
Combined risk
4.6 Normal
Fatigue
5.8 Normal
Efficiency
7.5 Dominant
White Sox
Combined risk
9.4 High risk
Fatigue
10.0 High risk
Efficiency
6.3 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.

MetricMetsWhite Sox
Fatigue5.8/10, Normal10.0/10, High risk
Efficiency7.5/10, Dominant6.3/10, Effective
Combined risk4.6/10, Normal9.4/10, High risk
Relief innings, last 7 days21.742.3
Back-to-back arms39
7-day ERA1.252.55
7-day WHIP0.781.11

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
7.4
Market total
8.0
Projected away runs
2.5
Projected home runs
4.5
Over price
-102
Under price
-113
New York Mets team total
2.5 projected
Line 3.5 · O -108 / U -110
Under research lean (-1.0)
Chicago White Sox team total
4.5 projected
Line 4.5 · O +118 / U -140
No team-total lean

The model and market are close. Team totals remain research-only until their graded sample is established.

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