MLB matchup analysis

Mets vs Rays Prediction, Odds and Model Pick

Tuesday, September 1, 2026 at Tropicana Field · 6:40 PM ET

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Pass

LyDia decision: Pass on Mets vs Rays

Lab Rating
3.9/10
Model lean
Mets 57.7%
Market probability
40.7%
Model edge
+17.0%
Best moneyline
+136
Sportsbooks checked
2
LyDia model
57.7%
Market
40.7%

The case for New York Mets

Why LyDia leans New York Mets
LyDia's model makes New York Mets 57.7% to win. No single factor dominates — team strength and the run environment tilt slightly this way, enough to lean New York Mets even though it does not clear the bar for a high-confidence pick.

The case for Tampa Bay Rays

Team strength favors Tampa Bay Rays
Before any pitcher or bullpen adjustment, LyDia's own team-strength model has Tampa Bay Rays ahead (56.5% to 45.3%). The pick still comes from New York Mets once the pitcher and bullpen terms are applied.

Why it is not official

Below the 61.0% official gate
Win probability is 57.7%. LyDia does not make a game official below 61.0%, 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 3.9/10, under the 7.2/10 required for an official pick.
Own bullpen carries risk: 6.4/10
The New York Mets bullpen comes in tired. A lead after six innings is less safe than usual.

Why the setup score is what it is

Conviction: 1.33/10
LyDia leans toward New York Mets, but not strongly enough to earn full conviction credit.
Pitching plan: 10/30
Sean Manaea rates 58 on LyDia's pitcher score, judged on its own merits (50-80 is the credited range). Average or below by that measure, so it earns little or none of the available credit here -- independent of who the opponent is throwing.
Bullpen: 4.91/10
Both bullpens are rated tired -- this is close to a wash, not an advantage either way.
Offense: 22.77/50
New York Mets's recent form does not clearly outpace Tampa Bay Rays's.

Why the price is what it is

Team strength: 45.3%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes New York Mets 45.3% to win. Everything below moves the price from this starting point.
Pitcher score gap: 6 points
The pitcher-score gap favors New York Mets by 6 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: -0.003
The bullpen-fatigue gap between the two pens nudges the price toward Tampa Bay Rays. This moves the price less than the starting pitchers do, since a starter covers more of the game than the bullpen.
Net effect: 45.3% -> 57.7%
Team strength alone had New York Mets at 45.3%. After the pitcher and bullpen terms, the price is 57.7% -- 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.

Final result

Mets 2, Rays 6

How the analysis held up

Tampa Bay Rays won. LyDia's model favored the other side.

LyDia's two internal reads disagreed pregame by 29.3 points — the team-strength model favored New York Mets, the run-projection model favored Tampa Bay Rays. The run-projection model had the winner here.

Freddy Peralta (No clear pitching-plan edge), the starter LyDia's pitcher score favored, actually outpitched Sean Manaea: 6.0 IP, 1 ER (1.50 ERA) against 5.2 IP, 5 ER (7.94 ERA). The edge held up.

Tampa Bay Rays scored 6, 1.7 more than the 4.3 pregame projection.

Likely driver: Sean Manaea, the pick's own starter, was rocked for a 7.94 ERA, and the opposing starter (1.50 ERA) was sharp when the read expected an edge the other way.

Game information

MatchupNew York Mets at Tampa Bay Rays
DateTuesday, September 1, 2026
First pitch6:40 PM ET
VenueTropicana Field
Starting pitchersSean Manaea vs Freddy Peralta
WeatherGame-time forecast: 78°F, 46% precipitation chance, 3 mph wind from N.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Sean ManaeaMets · LHP
vs
Freddy PeraltaRays · RHP
MetricMetsRays
Pitching planTraditional starterTraditional starter
Expected innings5⅔5⅓
ThrowsLR
LyDia pitcher score (higher is better)5856
ERA (lower is better)4.704.96
WHIP (lower is better)1.361.37
K/9 (higher is better)8.68.6
K-BB% (higher is better)14.4%13.4%
K% (higher is better)21.7%21.8%
BB% (lower is better)7.3%8.4%
BB/9 (lower is better)2.93.3
HR/9 (lower is better)1.51.4
Ground-ball rate45.2%45.4%
Fly-ball rate54.8%54.6%

Pitcher edge: LyDia gives Sean Manaea a 2-point edge over Freddy Peralta, driven mainly by expected innings (5.7 vs 5.3) and BB/9 (2.9 vs 3.3).

How to read this: the scorecards above name the starters; every number lives in this table.

Strikeout Projections Full strikeout projections →

Sean Manaea strikeouts
3.9 LyDia projected Ks
No K play · -0.6K difference is below LyDia's 0.7K threshold
Market 4.5K · O -110 / U -113 · 5 books
Freddy Peralta strikeouts
5.9 LyDia projected Ks
Official pick: OVER 4.5K · +1.1K difference
Market 4.5K · O -141 / U +112 · 5 books

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

Mets are 4-6 in their last 10 and averaging 3.2 runs per game over the last 15 days; Rays are 6-4 in their last 10 and averaging 4.2 runs per game over the last 15 days. On the season Rays carry the better run differential per game (+0.41 against -0.40).

MetricMetsRays
Last 104-66-4
Last 10 by venue (away team on the road, home team at home)4-6 on the road6-4 at home
OPS, last 15 days0.6640.682
wOBA, last 15 days (hot/cold read)0.2930.301
Runs per game, last 15 days3.24.2
K% last 15 days (lower is better)23.7%15.9%

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 daysMetsRays
OPS0.726 (+0.033 vs szn)0.752 (+0.019 vs szn)
Runs per game4.075.04 (+0.514 vs szn)
wOBA (model offense input)0.320 (+0.013 vs szn)0.329
K% (lower is better)23.9% (+1.1% vs szn)15.4% (-3.1% vs szn)

Over the last 30 days the Rays have been the better offense, 0.329 wOBA to 0.320.

Season profile

Full Stats page →
MetricMetsRays
Record62-7682-55
Run differential / game (team quality)-0.40+0.41
Runs scored / game (offense, season)4.084.52
Runs allowed / game (defense, season, lower better)4.484.11
Season OPS0.6940.732
K% season (lower is better)22.8%18.5%
OPS vs opposing hand (season)0.6940.680

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 Rays are highlighted.

Mets
Combined risk
6.4 Tired
Fatigue
6.6 Tired
Efficiency
5.4 Average
Rays
Combined risk
6.3 Tired
Fatigue
7.0 Tired
Efficiency
6.5 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.

MetricMetsRays
Fatigue6.6/10, Tired7.0/10, Tired
Efficiency5.4/10, Average6.5/10, Effective
Combined risk6.4/10, Tired6.3/10, Tired
Relief innings, last 7 days25.722.7
Back-to-back arms64
7-day ERA3.512.38
7-day WHIP1.291.06

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
8.2
Market total
8.0
Projected away runs
3.2
Projected home runs
4.5
Over price
-110
Under price
-110
New York Mets team total
3.2 projected
Line 3.5 · O -112 / U -110
No team-total lean
Tampa Bay Rays team total
4.5 projected
Line 3.5 · O -135 / U +118
Over research lean (+1.0)

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

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