MLB matchup analysis

Orioles vs Mets Prediction, Odds and Model Pick

Monday, September 14, 2026 at Citi Field · 7:10 PM ET

Pass

Leo decision: Pass on Orioles vs Mets

Lab Rating
3.2/10
Model lean
Orioles 67.2%
Market probability
46.1%
Model edge
+21.1%
Best moneyline
+110
Sportsbooks checked
5
Leo model
67.2%
Market
46.1%

The case for Baltimore Orioles

Why Leo leans Baltimore Orioles
Leo's model makes Baltimore Orioles 67.2% to win. No single factor dominates — team strength and the run environment tilt slightly this 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: +0.039 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, Leo's own team-strength model has New York Mets ahead (52.2% to 44.2%). The pick still comes from Baltimore Orioles once the pitcher and bullpen terms are applied.

Why it is not official

Setup quality below the bar
Lab Rating is 3.2/10, under the 7.2/10 required for an official pick.
Own bullpen carries risk: 6.3/10
The Baltimore Orioles bullpen comes in tired. A lead after six innings is less safe than usual.
Opponent is swinging it
The other lineup is +0.039 wOBA above its season form over the last 15 days.

Why the setup score is what it is

Conviction: 6.1/10
Leo's win probability for Baltimore Orioles (67.2%) is well clear of a coin flip -- this is a real, stated lean, not a guess.
Pitching plan: 18.67/40
Brandon Young rates 63 on Leo'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: 6.77/50
Baltimore Orioles's recent form does not clearly outpace New York Mets's.

Why the price is what it is

Team strength: 44.2%
Before any pitcher or bullpen adjustment, Leo's team-strength model alone makes Baltimore Orioles 44.2% to win. Everything below moves the price from this starting point.
Pitcher score gap: 12 points
The pitcher-score gap favors Baltimore Orioles 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: -0.024
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: 44.2% -> 67.2%
Team strength alone had Baltimore Orioles at 44.2%. After the pitcher and bullpen terms, the price is 67.2% -- the same number shown as Model Lean above.
The verdict Leo 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

Orioles 2, Mets 1

How the analysis held up

Baltimore Orioles won, the side Leo's model favored.

Jonah Tong (No clear pitching-plan edge), the starter Leo's pitcher score favored, actually outpitched Brandon Young: 6.0 IP, 0 ER (0.00 ERA) against 5.0 IP, 1 ER (1.80 ERA). The edge held up. Both starters were sharp; the edge is a narrow one between two good outings.

The Baltimore Orioles bullpen was not flagged pregame, but it had a night worth noting: 0 earned runs allowed over 4.0 relief innings (0.00 ERA) — quietly better than the pregame read implied.

Baltimore Orioles scored 2, 3 fewer than the 5 pregame projection.

New York Mets scored 1, 3.3 fewer than the 4.3 pregame projection.

Game information

MatchupBaltimore Orioles at New York Mets
DateMonday, September 14, 2026
First pitch7:10 PM ET
VenueCiti Field
Starting pitchersBrandon Young vs Jonah Tong
WeatherGame-time forecast: 69°F, 0% precipitation chance, 9 mph wind from NW.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Brandon YoungOrioles · RHP
vs
Jonah TongMets · RHP
MetricOriolesMets
Pitching planTraditional starterTraditional starter
Expected innings5⅔5
ThrowsRR
Leo pitcher score (higher is better)6365
ERA (lower is better)3.653.43
WHIP (lower is better)1.371.19
K/9 (higher is better)7.38.6
K-BB% (higher is better)10.0%12.1%
K% (higher is better)18.8%22.0%
BB% (lower is better)8.7%9.9%
BB/9 (lower is better)3.43.9
HR/9 (lower is better)1.30.9
Ground-ball rate45.9%37.8%
Fly-ball rate54.1%62.2%

Pitcher edge: Leo gives Jonah Tong a 2-point edge over Brandon Young, driven mainly by HR/9 (0.86 vs 1.30) and WHIP (1.19 vs 1.37).

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

Strikeout Projections Full strikeout projections →

Brandon Young strikeouts
4.2 Leo projected Ks
Official pick: OVER 3.5K · +0.8K difference
Market 3.5K · O -170 / U +132 · 6 books
Jonah Tong strikeouts
6.1 Leo projected Ks
Official pick: OVER 5.5K · +0.8K difference
Market 5.5K · O -122 / U +107 · 6 books

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

Orioles are 3-7 in their last 10 and averaging 3.9 runs per game over the last 15 days; Mets are 7-3 in their last 10 and averaging 6.5 runs per game over the last 15 days. Season run differential separates them by almost nothing (-0.23 against -0.23).

MetricOriolesMets
Last 103-77-3
Last 10 by venue (away team on the road, home team at home)6-4 on the road4-6 at home
OPS, last 15 days0.6480.802
wOBA, last 15 days (hot/cold read)0.2910.350
Runs per game, last 15 days3.96.5
K% last 15 days (lower is better)28.0%20.1%

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
OPS0.678 (-0.031 vs szn)0.742 (+0.039 vs szn)
Runs per game4.31 (-0.153 vs szn)4.81 (+0.521 vs szn)
wOBA (model offense input)0.300 (-0.014 vs szn)0.326 (+0.016 vs szn)
K% (lower is better)26.7% (+2.0% vs szn)21.8% (-0.7% vs szn)

Over the last 30 days the Mets have been the better offense, 0.326 wOBA to 0.300. They are running hot against their own season line (+0.016 wOBA). Orioles are striking out at 26.7% over the window — something the opposing starter can lean on.

Season profile

Full Stats page →
MetricOriolesMets
Record72-7869-80
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 OPS0.7090.704
K% season (lower is better)24.7%22.4%
OPS vs opposing hand (season)0.7060.713

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
6.3 Tired
Fatigue
6.0 Normal
Efficiency
4.5 Average
Mets
Combined risk
5.5 Normal
Fatigue
4.8 Normal
Efficiency
3.6 Below average

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, Normal4.8/10, Normal
Efficiency4.5/10, Average3.6/10, Below average
Combined risk6.3/10, Tired5.5/10, Normal
Relief innings, last 7 days21.320.0
Back-to-back arms76
7-day ERA4.645.85
7-day WHIP1.451.60

Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.

Run total projection

Full Totals Projections →
Leo projection
10.1
Market total
8.0
Projected away runs
4.9
Projected home runs
4.4
Over price
-105
Under price
-107
Baltimore Orioles team total
4.9 projected
Line Not available · O Not available / U Not available
Market line pending
New York Mets team total
4.4 projected
Line Not available · O Not available / U Not available
Market line pending

The model projects 2.1 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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