MLB matchup analysis
Orioles vs Blue Jays Prediction, Odds and Model Pick
Saturday, September 12, 2026 at Rogers Centre · 3:07 PM ET
LyDia prediction: Toronto Blue Jays moneyline
The case for Toronto Blue Jays
The case for Baltimore Orioles
Why the setup score is what it is
Why the price is what it is
Read the full model output
Toronto Blue Jays is a value watch, not an official pick. LyDia projects 72.3% against a 54.0% no-vig market number, a 18.3% model edge at -124. Lab Rating 8.9/10: conviction 8.67, pitching plan 40, offense 40.46. Toronto Blue Jays's pen efficiency: Effective (7.2/10). It stayed a value watch under the stricter official-pick review. Lineup check: Toronto Blue Jays is swinging a hot bat (+0.073 OPS); Baltimore Orioles is in a cold stretch (-0.068 OPS). Recent form supports this side and is included in the unified run projection.
Final result
Orioles 3, Blue Jays 7
How the analysis held up
Toronto Blue Jays won, the side LyDia's model favored.
Spencer Miles (Toronto Blue Jays), the starter LyDia's pitcher score favored, actually outpitched Kyle Bradish: 2.0 IP, 0 ER (0.00 ERA) against 3.0 IP, 5 ER (15.00 ERA). The edge held up.
Toronto Blue Jays scored 7, 2.2 more than the 4.8 pregame projection.
Game information
| Matchup | Baltimore Orioles at Toronto Blue Jays |
|---|---|
| Date | Saturday, September 12, 2026 |
| First pitch | 3:07 PM ET |
| Venue | Rogers Centre |
| Starting pitchers | Kyle Bradish vs Spencer Miles |
| Weather | Game-time forecast: 68°F, 1% precipitation chance, 3 mph wind from NE. This venue has a roof, but the roof status is not confirmed. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Orioles | Blue Jays |
|---|---|---|
| Pitching plan | Traditional starter | Opener / bullpen game |
| Expected innings | 5⅓ | 2⅔ |
| Throws | R | R |
| LyDia pitcher score (higher is better) | 58 | 78 |
| ERA (lower is better) | 4.12 | 2.71 |
| WHIP (lower is better) | 1.46 | 1.06 |
| K/9 (higher is better) | 8.2 | 8.6 |
| K-BB% (higher is better) | 10.8% | 17.5% |
| K% (higher is better) | 21.2% | 24.0% |
| BB% (lower is better) | 10.5% | 6.4% |
| BB/9 (lower is better) | 4.1 | 2.3 |
| HR/9 (lower is better) | 1.2 | 0.5 |
| Ground-ball rate | 53.7% | 55.4% |
| Fly-ball rate | 46.3% | 44.6% |
Pitching plan edge: LyDia gives the Toronto Blue Jays pitching plan the edge over Kyle Bradish (34 points on LyDia's pitcher score). Spencer Miles is projected for only 2⅔ innings, with the Toronto Blue Jays bullpen covering the rest -- this compares the Toronto Blue Jays blended starting-pitcher-and-bullpen quality against Kyle Bradish's own line, not two starters directly.
Blended read: For the Toronto Blue Jays, the bullpen is projected to throw more of the game than Spencer Miles (about 2⅔ innings for the starter), so LyDia grades that side on a whole-game effective ERA of 2.18 rather than Spencer Miles's own 2.71. Whole-game, that is 2.18 for the Toronto Blue Jays against 3.79 on the other side, so the blended read leans Toronto Blue Jays.
How to read this: the scorecards above name the starters; every number lives in this table.
Strikeout Projections Full strikeout projections →
Same data source as the Pitcher Matchup Tool, where every starter on the slate is compared side by side.
Recent form
Full Stats page →Orioles are 3-7 in their last 10 and averaging 4.2 runs per game over the last 15 days; Blue Jays are 5-5 in their last 10 and averaging 4.9 runs per game over the last 15 days. Season run differential separates them by almost nothing (-0.19 against -0.26).
| Metric | Orioles | Blue Jays |
|---|---|---|
| Last 10 | 3-7 | 5-5 |
| Last 10 by venue (away team on the road, home team at home) | 6-4 on the road | 6-4 at home |
| OPS, last 15 days | 0.643 | 0.765 |
| wOBA, last 15 days (hot/cold read) | 0.288 | 0.339 |
| Runs per game, last 15 days | 4.2 | 4.9 |
| K% last 15 days (lower is better) | 26.8% | 17.8% |
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 days | Orioles | Blue Jays |
|---|---|---|
| OPS | 0.689 (-0.021 vs szn) | 0.758 (+0.063 vs szn) |
| Runs per game | 4.57 (+0.068 vs szn) | 4.37 (+0.344 vs szn) |
| wOBA (model offense input) | 0.304 (-0.011 vs szn) | 0.333 (+0.026 vs szn) |
| K% (lower is better) | 25.7% (+1.1% vs szn) | 17.8% (-1.4% vs szn) |
Over the last 30 days the Blue Jays have been the better offense, 0.333 wOBA to 0.304. They are running hot against their own season line (+0.026 wOBA). Orioles are striking out at 25.7% over the window — something the opposing starter can lean on.
Season profile
Full Stats page →| Metric | Orioles | Blue Jays |
|---|---|---|
| Record | 72-76 | 73-75 |
| Run differential / game (team quality) | -0.19 | -0.26 |
| Runs scored / game (offense, season) | 4.50 | 4.03 |
| Runs allowed / game (defense, season, lower better) | 4.69 | 4.28 |
| Season OPS | 0.711 | 0.692 |
| K% season (lower is better) | 24.6% | 19.2% |
| OPS vs opposing hand (season) | 0.708 | 0.709 |
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.
The Map
Full interactive map →Every team on today's slate, on any two axes you pick. Orioles and Blue Jays are highlighted.
Bullpen matchup
Full Bullpen Fatigue Index →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.
| Metric | Orioles | Blue Jays |
|---|---|---|
| Fatigue | 5.5/10, Normal | 6.3/10, Tired |
| Efficiency | 6.1/10, Effective | 7.2/10, Effective |
| Combined risk | 5.0/10, Normal | 5.2/10, Normal |
| Relief innings, last 7 days | 22.7 | 24.3 |
| Back-to-back arms | 6 | 1 |
| 7-day ERA | 2.78 | 1.48 |
| 7-day WHIP | 1.15 | 0.95 |
Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.
Run total projection
Full Totals Projections →The current model and market total cannot be compared yet. Team totals remain research-only until their graded sample is established.
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