MLB matchup analysis

Orioles vs Mets Prediction, Odds and Model Pick

Tuesday, September 15, 2026 at Citi Field · 7:10 PM ET

Pass

LyDia decision: Pass on Orioles vs Mets

Lab Rating
2.3/10
Model lean
Orioles 55.8%
Market probability
43.4%
Model edge
+12.4%
Best moneyline
+127
Sportsbooks checked
8
LyDia model
55.8%
Market
43.4%

The case for Baltimore Orioles

Why LyDia leans Baltimore Orioles
LyDia's model makes Baltimore Orioles 55.8% to win. No single factor dominates — the bullpen tilt the same way, enough to lean Baltimore Orioles even though it does not clear the bar for a high-confidence pick.

The case for New York Mets

Their bats are hot: +0.037 wOBA
New York Mets is outhitting its own season form over the last 15 days.
Team strength favors New York Mets
Before any pitcher or bullpen adjustment, LyDia's own team-strength model has New York Mets ahead (49.5% to 46.9%). The pick still comes from Baltimore Orioles once the pitcher and bullpen terms are applied.

Why it is not official

Below the 61.0% official gate
Win probability is 55.8%. 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 2.3/10, under the 7.2/10 required for an official pick.
Opponent is swinging it
The other lineup is +0.037 wOBA above its season form over the last 15 days.

Why the setup score is what it is

Conviction: 0.42/10
LyDia leans toward Baltimore Orioles, but not strongly enough to earn full conviction credit.
Pitching plan: 16/40
Shane Baz rates 62 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.
Offense: 6.81/50
Baltimore Orioles's recent form does not clearly outpace New York Mets's.

Why the price is what it is

Team strength: 46.9%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes Baltimore Orioles 46.9% to win. Everything below moves the price from this starting point.
Pitcher score gap: 3 points
The pitcher-score gap favors Baltimore Orioles by 3 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: +0.006
The bullpen-fatigue gap between the two pens nudges the price toward Baltimore Orioles. This moves the price less than the starting pitchers do, since a starter covers more of the game than the bullpen.
Net effect: 46.9% -> 55.8%
Team strength alone had Baltimore Orioles at 46.9%. After the pitcher and bullpen terms, the price is 55.8% -- 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

MatchupBaltimore Orioles at New York Mets
DateTuesday, September 15, 2026
First pitch7:10 PM ET
VenueCiti Field
Starting pitchersShane Baz vs Sean Manaea
WeatherGame-time forecast: 65°F, 0% precipitation chance, 6 mph wind from SE.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Shane BazOrioles · RHP
vs
Sean ManaeaMets · LHP
MetricOriolesMets
Pitching planTraditional starterTraditional starter
Expected innings5⅔5⅔
ThrowsRL
LyDia pitcher score (higher is better)6259
ERA (lower is better)4.114.74
WHIP (lower is better)1.351.32
K/9 (higher is better)7.98.6
K-BB% (higher is better)12.4%15.1%
K% (higher is better)20.5%22.0%
BB% (lower is better)8.1%6.8%
BB/9 (lower is better)3.12.7
HR/9 (lower is better)0.81.5
Ground-ball rate43.7%45.2%
Fly-ball rate56.3%54.8%

Pitcher edge: LyDia gives Shane Baz a 3-point edge over Sean Manaea, driven mainly by HR/9 (0.78 vs 1.49) and ERA (4.11 vs 4.74).

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

Strikeout Projections Full strikeout projections →

Shane Baz strikeouts
4.6 LyDia projected Ks
No strikeout line posted when this page was generated
Sean Manaea strikeouts
6.6 LyDia projected Ks
No strikeout line posted when this page was generated

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

Orioles are 4-6 in their last 10 and averaging 3.3 runs per game over the last 15 days; Mets are 6-4 in their last 10 and averaging 6.1 runs per game over the last 15 days. Season run differential separates them by almost nothing (-0.23 against -0.23).

MetricOriolesMets
Last 104-66-4
Last 10 by venue (away team on the road, home team at home)6-4 on the road4-6 at home
OPS, last 15 days0.6380.794
wOBA, last 15 days (hot/cold read)0.2870.348
Runs per game, last 15 days3.36.1
K% last 15 days (lower is better)27.9%19.9%

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 daysOriolesMets
OPS0.676 (-0.033 vs szn)0.741 (+0.038 vs szn)
Runs per game4.24 (-0.206 vs szn)4.74 (+0.456 vs szn)
wOBA (model offense input)0.299 (-0.014 vs szn)0.326 (+0.014 vs szn)
K% (lower is better)26.6% (+1.8% vs szn)21.2% (-1.2% vs szn)

Over the last 30 days the Mets have been the better offense, 0.326 wOBA to 0.299. They are running hot against their own season line (+0.014 wOBA). Orioles are striking out at 26.6% over the window — something the opposing starter can lean on.

Season profile

Full Stats page →
MetricOriolesMets
Record73-7869-81
Run differential / game (team quality)-0.23-0.23
Runs scored / game (offense, season)4.464.29
Runs allowed / game (defense, season, lower better)4.694.53
Season OPS0.7090.703
K% season (lower is better)24.8%22.4%
OPS vs opposing hand (season)0.7170.713

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. Orioles and Mets are highlighted.

Orioles
Combined risk
5.6 Normal
Fatigue
6.0 Normal
Efficiency
5.8 Effective
Mets
Combined risk
5.8 Normal
Fatigue
4.7 Normal
Efficiency
2.8 Struggling

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.

MetricOriolesMets
Fatigue6.0/10, Normal4.7/10, Normal
Efficiency5.8/10, Effective2.8/10, Struggling
Combined risk5.6/10, Normal5.8/10, Normal
Relief innings, last 7 days23.719.0
Back-to-back arms45
7-day ERA3.046.63
7-day WHIP1.231.79

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
9.6
Market total
8.5
Projected away runs
5.6
Projected home runs
3.2
Over price
-107
Under price
-104
Baltimore Orioles team total
5.6 projected
Line 3.5 · O -130 / U +116
Over research lean (+2.1)
New York Mets team total
3.2 projected
Line 4.5 · O +100 / U -125
Under research lean (-1.3)

The model projects 1.1 runs above 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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