MLB matchup analysis

Orioles vs Blue Jays Prediction, Odds and Model Pick

Friday, September 11, 2026 at Rogers Centre · 7:07 PM ET

Pass

LyDia decision: Pass on Orioles vs Blue Jays

Lab Rating
1.0/10
Model lean
Orioles 57.5%
Market probability
44.7%
Model edge
+12.8%
Best moneyline
+123
Sportsbooks checked
9
LyDia model
57.5%
Market
44.7%

The case for Baltimore Orioles

Why LyDia leans Baltimore Orioles
LyDia's model makes Baltimore Orioles 57.5% to win. No single factor dominates — the starting pitcher matchup, 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 Toronto Blue Jays

Their bats are hot: +0.030 wOBA
Toronto Blue Jays is outhitting its own season form over the last 15 days.
Team strength favors Toronto Blue Jays
Before any pitcher or bullpen adjustment, LyDia's own team-strength model has Toronto Blue Jays ahead (50.0% to 44.6%). 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 57.5%. 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 1.0/10, under the 7.2/10 required for an official pick.
Opponent is swinging it
The other lineup is +0.030 wOBA above its season form over the last 15 days.

Why the setup score is what it is

Conviction: 1.25/10
LyDia leans toward Baltimore Orioles, but not strongly enough to earn full conviction credit.
Pitching plan: 0/40
Chris Bassitt rates 49 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: 8.71/50
Baltimore Orioles's recent form does not clearly outpace Toronto Blue Jays's.

Why the price is what it is

Team strength: 44.6%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes Baltimore Orioles 44.6% to win. Everything below moves the price from this starting point.
Pitcher score gap: 4 points
The pitcher-score gap favors Baltimore Orioles by 4 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: +0.018
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: 44.6% -> 57.5%
Team strength alone had Baltimore Orioles at 44.6%. After the pitcher and bullpen terms, the price is 57.5% -- 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 Toronto Blue Jays
DateFriday, September 11, 2026
First pitch7:07 PM ET
VenueRogers Centre
Starting pitchersChris Bassitt vs Max Scherzer
WeatherGame-time forecast: 67°F, 0% precipitation chance, 5 mph wind from E. This venue has a roof, but the roof status is not confirmed.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Chris BassittOrioles · RHP
vs
Max ScherzerBlue Jays · RHP
MetricOriolesBlue Jays
Pitching planTraditional starterLimited starter
Expected innings54⅓
ThrowsRR
LyDia pitcher score (higher is better)4945
ERA (lower is better)4.966.03
WHIP (lower is better)1.581.36
K/9 (higher is better)6.46.9
K-BB% (higher is better)7.2%7.7%
K% (higher is better)15.7%17.6%
BB% (lower is better)8.5%9.9%
BB/9 (lower is better)3.53.9
HR/9 (lower is better)0.91.9
Ground-ball rate52.5%35.8%
Fly-ball rate47.5%64.2%

Pitcher edge: LyDia gives Chris Bassitt a 4-point edge over Max Scherzer, driven mainly by HR/9 (0.95 vs 1.87) and ERA (4.96 vs 6.03).

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

Strikeout Projections Full strikeout projections →

Chris Bassitt strikeouts
2.7 LyDia projected Ks
Official pick: UNDER 3.5K · -0.8K difference
Market 3.5K · O +107 / U -125 · 6 books
Max Scherzer strikeouts
4.2 LyDia projected Ks
Qualifying projection: UNDER 5.5K · -1.3K difference
Market 5.5K · O +128 / U -150 · 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 4.1 runs per game over the last 15 days; Blue Jays are 6-4 in their last 10 and averaging 4.8 runs per game over the last 15 days. Season run differential separates them by almost nothing (-0.18 against -0.27).

MetricOriolesBlue Jays
Last 103-76-4
Last 10 by venue (away team on the road, home team at home)6-4 on the road6-4 at home
OPS, last 15 days0.6300.759
wOBA, last 15 days (hot/cold read)0.2820.336
Runs per game, last 15 days4.14.8
K% last 15 days (lower is better)26.6%16.2%

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 daysOriolesBlue Jays
OPS0.690 (-0.020 vs szn)0.747 (+0.055 vs szn)
Runs per game4.56 (+0.059 vs szn)4.35 (+0.339 vs szn)
wOBA (model offense input)0.304 (-0.010 vs szn)0.328 (+0.023 vs szn)
K% (lower is better)25.4% (+0.8% vs szn)17.1% (-2.0% vs szn)

Over the last 30 days the Blue Jays have been the better offense, 0.328 wOBA to 0.304. They are running hot against their own season line (+0.023 wOBA). Orioles are striking out at 25.4% over the window — something the opposing starter can lean on.

Season profile

Full Stats page →
MetricOriolesBlue Jays
Record71-7673-74
Run differential / game (team quality)-0.18-0.27
Runs scored / game (offense, season)4.504.01
Runs allowed / game (defense, season, lower better)4.684.27
Season OPS0.7100.692
K% season (lower is better)24.5%19.2%
OPS vs opposing hand (season)0.7060.706

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 Blue Jays are highlighted.

Orioles
Combined risk
4.7 Normal
Fatigue
5.4 Normal
Efficiency
6.4 Effective
Blue Jays
Combined risk
5.3 Normal
Fatigue
6.4 Tired
Efficiency
7.2 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.

MetricOriolesBlue Jays
Fatigue5.4/10, Normal6.4/10, Tired
Efficiency6.4/10, Effective7.2/10, Effective
Combined risk4.7/10, Normal5.3/10, Normal
Relief innings, last 7 days21.329.3
Back-to-back arms64
7-day ERA2.111.53
7-day WHIP1.170.89

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
8.8
Market total
8.0
Projected away runs
4.7
Projected home runs
4.1
Over price
+100
Under price
-118
Baltimore Orioles team total
4.7 projected
Line 3.5 · O -115 / U +100
Over research lean (+1.2)
Toronto Blue Jays team total
4.1 projected
Line 3.5 · O -141 / U +115
No team-total lean

The model projects 0.8 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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