MLB matchup analysis

Blue Jays vs Orioles (Game 2) Prediction, Odds and Model Pick

Wednesday, September 23, 2026 at Oriole Park at Camden Yards · 6:35 PM ET

Pass

Leo decision: Pass on Blue Jays vs Orioles

Lab Rating
4.0/10
Model lean
Blue Jays 72.5%
Market probability
47.4%
Model edge
+25.1%
Best moneyline
+109
Sportsbooks checked
7
Leo model
72.5%
Market
47.4%

The case for Toronto Blue Jays

Starting pitcher edge: 10 points
Leo gives CJ Van Eyk a 10-point edge over Trey Gibson, driven mainly by BB/9 (1.5 vs 6.1) and WHIP (1.46 vs 1.71).

The case for Baltimore Orioles

Late-inning bullpen advantage
Toronto Blue Jays relievers have a 2.39 ERA over the last 7 days; Baltimore Orioles relievers have a 1.80. If this is still close after six innings, that gap favors Baltimore Orioles.
Team strength favors Baltimore Orioles
Before any pitcher or bullpen adjustment, Leo's own team-strength model has Baltimore Orioles ahead (47.3% to 45.3%). The pick still comes from Toronto Blue Jays once the pitcher and bullpen terms are applied.

Why it is not official

Setup quality below the bar
Lab Rating is 4.0/10, under the 7.2/10 required for an official pick.
Own bullpen carries risk: 9.2/10
The Toronto Blue Jays bullpen comes in high risk. A lead after six innings is less safe than usual.

Why the setup score is what it is

Conviction: 8.77/10
Leo's win probability for Toronto Blue Jays (72.5%) is well clear of a coin flip -- this is a real, stated lean, not a guess.
Pitching plan: 0/40
CJ Van Eyk rates 44 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: 30.83/50
Toronto Blue Jays's recent offensive form clearly outpaces Baltimore Orioles's over the tracked windows.

Why the price is what it is

Team strength: 45.3%
Before any pitcher or bullpen adjustment, Leo's team-strength model alone makes Toronto Blue Jays 45.3% to win. Everything below moves the price from this starting point.
Pitcher score gap: 24 points
The pitcher-score gap favors Toronto Blue Jays by 24 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: -0.15
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: 45.3% -> 72.5%
Team strength alone had Toronto Blue Jays at 45.3%. After the pitcher and bullpen terms, the price is 72.5% -- the same number shown as Model Lean above.
The verdict Leo passes. This is a bullpen game -- no confirmed traditional starter, so Leo does not publish an official pick here.
Read the full model output

This is a bullpen game -- no confirmed traditional starter, so Leo does not publish an official pick here.

Final result

Blue Jays 2, Orioles 4

How the analysis held up

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

Leo's two internal reads disagreed pregame by 53.3 points — the team-strength model favored Toronto Blue Jays, the run-projection model favored Baltimore Orioles. The run-projection model had the winner here.

CJ Van Eyk (Toronto Blue Jays) was Leo's favored starter by pitcher score, but Trey Gibson actually pitched better tonight: 6.2 IP, 0 ER (0.00 ERA) against 5.0 IP, 4 ER (7.20 ERA). The edge did not show up in this game.

The Toronto Blue Jays bullpen was flagged as elevated risk pregame (High risk). In relief it actually allowed 0 earned runs over 3.0 innings (0.00 ERA) — the risk read did not show up on the scoreboard tonight.

The Baltimore Orioles bullpen was not flagged pregame, but it had a night worth noting: 2 earned runs allowed over 2.1 relief innings (7.71 ERA) — quietly worse than the pregame read implied.

Toronto Blue Jays scored 2, 1.8 fewer than the 3.8 pregame projection.

Likely driver: CJ Van Eyk, the pick's own starter, was rocked for a 7.20 ERA, and the opposing starter (0.00 ERA) was sharp when the read expected an edge the other way.

Game information

MatchupToronto Blue Jays at Baltimore Orioles
DateWednesday, September 23, 2026
First pitch6:35 PM ET
VenueOriole Park at Camden Yards
Starting pitchersCJ Van Eyk vs Trey Gibson
WeatherGame-time forecast: 60°F, 0% precipitation chance, 7 mph wind from E.

Starting pitcher matchup

Full Pitcher Matchup Tool →
CJ Van EykBlue Jays · RHP
vs
Trey GibsonOrioles · RHP
MetricBlue JaysOrioles
Pitching planTraditional starterTraditional starter
Expected innings54⅔
ThrowsRR
Leo pitcher score (higher is better)4434
ERA (lower is better)5.406.13
WHIP (lower is better)1.461.71
K/9 (higher is better)2.38.4
K-BB% (higher is better)1.8%5.4%
K% (higher is better)5.5%20.0%
BB% (lower is better)3.6%14.6%
BB/9 (lower is better)1.56.1
HR/9 (lower is better)1.51.6
Ground-ball rate45.5%65.8%
Fly-ball rate54.5%34.2%

Pitcher edge: Leo gives CJ Van Eyk a 10-point edge over Trey Gibson, driven mainly by BB/9 (1.5 vs 6.1) and WHIP (1.46 vs 1.71).

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

Strikeout Projections Full strikeout projections →

Trey Gibson strikeouts
4.9 Leo 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.

Blue Jays are 4-6 in their last 10 and averaging 3.8 runs per game over the last 15 days; Orioles are 5-5 in their last 10 and averaging 4.2 runs per game over the last 15 days. Season run differential separates them by almost nothing (-0.30 against -0.16).

MetricBlue JaysOrioles
Last 104-65-5
Last 10 by venue (away team on the road, home team at home)2-8 on the road5-5 at home
OPS, last 15 days0.6960.687
wOBA, last 15 days (hot/cold read)0.3110.302
Runs per game, last 15 days3.84.2
K% last 15 days (lower is better)17.6%28.3%

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 daysBlue JaysOrioles
OPS0.721 (+0.029 vs szn)0.682 (-0.025 vs szn)
Runs per game4.26 (+0.259 vs szn)4.36 (-0.077 vs szn)
wOBA (model offense input)0.321 (+0.015 vs szn)0.302 (-0.012 vs szn)
K% (lower is better)16.6% (-2.4% vs szn)27.3% (+2.4% vs szn)

Over the last 30 days the Blue Jays have been the better offense, 0.321 wOBA to 0.302. They are running hot against their own season line (+0.015 wOBA). Orioles are striking out at 27.3% over the window — something the opposing starter can lean on.

Season profile

Full Stats page →
MetricBlue JaysOrioles
Record77-8177-81
Run differential / game (team quality)-0.30-0.16
Runs scored / game (offense, season)4.004.43
Runs allowed / game (defense, season, lower better)4.304.60
Season OPS0.6920.708
K% season (lower is better)19.0%24.9%
OPS vs opposing hand (season)0.709Not available

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. Blue Jays and Orioles are highlighted.

Blue Jays
Combined risk
9.2 High risk
Fatigue
9.7 High risk
Efficiency
6.0 Effective
Orioles
Combined risk
4.1 Normal
Fatigue
4.9 Normal
Efficiency
6.6 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.

MetricBlue JaysOrioles
Fatigue9.7/10, High risk4.9/10, Normal
Efficiency6.0/10, Effective6.6/10, Effective
Combined risk9.2/10, High risk4.1/10, Normal
Relief innings, last 7 days26.315.0
Back-to-back arms65
7-day ERA2.391.80
7-day WHIP1.331.20

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
8.7
Market total
4.5
Projected away runs
3.6
Projected home runs
5.3
Over price
-118
Under price
+100
Toronto Blue Jays team total
3.6 projected
Line 3.5 · O -118 / U -105
No team-total lean
Baltimore Orioles team total
5.3 projected
Line 3.5 · O -128 / U +105
Over research lean (+1.8)

The model projects 4.2 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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Model outputs are not guarantees. Leo provides analysis and education only. Every official pick remains visible on the Results page. 21+. If you or someone you know has a gambling problem, call 1-800-GAMBLER.