
TOR
45-38

BOS
41-44
Matchup · 2026
MLB Stats API
TOR
league avg
BOS
.680
OPS
.720
▶.717
.303
OBP
.318
▶.317
3.89
Runs / G
4.50
▶4.36
4.08
Team ERA
4.18
▶3.52
1.32
WHIP
1.30
▶1.23
9.0
K / 9
8.5
8.6
Postgame · final
Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.
Final
TOR wins
TOR 5 · BOS 3 (by 2)
Model verdict
✗ Missed
Picked BOS +0pp
Against the spread
No spread
Line score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| TOR | 2 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 5 |
| BOS | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
Final play
“End of the 9th inning”
What's next
See every model edge for tonight's remaining games and tomorrow's slate side-by-side, or jump straight to DraftKings & FanDuel for the full board.
21+ · we may earn a referral fee · your odds unchanged.
Data via ESPN · MLB Stats API · Baseball Savant
TOR · top performer

Addison Barger
RF
4-1
AB-H
1
R
1
RBI
BOS · top performer

Carlos Narvaez
C
3-1
AB-H
1
R
1
RBI
Biggest swing: 13pp · Top 4th Inning
MLB · Box scoreSTATCAST
| Player | ||||||||
|---|---|---|---|---|---|---|---|---|
| .272 | 5 | 1 | 1 | 0 | 0 | 0 | 1 | |
| .260 | 4 | 1 | 1 | 1 | 1 | 0 | 1 | |
| .280 | 4 | 1 | 1 | 1 | 1 | 0 | 1 | |
| .265 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | |
| .257 | 4 | 1 | 2 | 1 | 0 | 0 | 0 | |
| .304 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | |
| .200 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | |
| .204 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | |
| .361 | 3 | 0 | 0 | 1 | 0 | 1 | 2 | |
| .259 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | |
| Team | 32 | 5 | 6 | 5 | 2 | 4 | 7 |
| Player | |||||||
|---|---|---|---|---|---|---|---|
| 4.1 | 7 | 3 | 3 | 0 | 4 | 85 | |
| 1.2 | 1 | 0 | 0 | 0 | 1 | 23 | |
| 1.0 | 0 | 0 | 0 | 0 | 1 | 9 | |
| 1.0 | 0 | 0 | 0 | 1 | 0 | 16 | |
| 1.0 | 0 | 0 | 0 | 0 | 3 | 14 | |
| Team | 9.0 | 8 | 3 | 3 | 1 | 9 | 147 |
| Player | ||||||||
|---|---|---|---|---|---|---|---|---|
| .304 | 5 | 0 | 1 | 1 | 0 | 0 | 1 | |
| .193 | 4 | 0 | 2 | 0 | 0 | 0 | 1 | |
| .278 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | |
| .272 | 3 | 1 | 1 | 1 | 1 | 1 | 0 | |
| .234 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | |
| .252 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | |
| .253 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | |
| .300 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | |
| .254 | 4 | 1 | 1 | 0 | 0 | 0 | 2 | |
| .253 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .285 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | |
| Team | 35 | 3 | 8 | 3 | 1 | 1 | 9 |
| Player | |||||||
|---|---|---|---|---|---|---|---|
| 4.0 | 4 | 4 | 4 | 3 | 3 | 72 | |
| 1.0 | 2 | 1 | 1 | 1 | 1 | 28 | |
| 1.0 | 0 | 0 | 0 | 0 | 0 | 4 | |
| 1.0 | 0 | 0 | 0 | 0 | 1 | 10 | |
| 1.0 | 0 | 0 | 0 | 0 | 0 | 14 | |
| 1.0 | 0 | 0 | 0 | 0 | 2 | 12 | |
| Team | 9.0 | 6 | 5 | 5 | 4 | 7 | 140 |
Pitcher arsenals · per-pitch detail
Statcast · via Baseball SavantTOR
BOS
Stat compare
Headline stats · full table below
6
Hits
8
5
Runs
3
1
Errors
0
Team stats
TOR
Away
Stat
BOS
Home
5
Runs
3
6
Hits
8
1
Errors
0
13
TB
16
2
HR
1
4
BB
1
7
K
9
7
LOB
15
Current series
TOR wins series 5-2
Season series
TOR leads series 7-3
How it ended
TOR beat BOS 5-3. A. Barger led the way — 1-for-4 · 1 HR · 1.250 OPS.
Last play
End of the 9th inning
Win probability
BOS vs TOR
Clutch moments · top swings
ranked by WP impactRafaela · doubled to left, Story scored.
Gim · énez singled to right, Lukes scored, Clement to third.
Gim · énez hit by pitch.
Linescore (innings)
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| TOR | 2 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 5 |
| BOS | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
Period scoring
TOR won 2 · BOS won 1
Inn 1
Barger 1
Inn 2
Narv 1
Inn 3
Inn 4
Gim 1
Inn 5
Lukes 1
Gonz 1
Inn 6
Inn 7
Inn 8
Inn 9
Play-by-play · 570 plays
End of the 9th inning
TOR 5·BOS 3
·
TOR 5·BOS 3
González struck out looking.
·
TOR 5·BOS 3
−1pp
Pitch 3 : Strike 3 Looking
·
TOR 5·BOS 3
Pitch 2 : Strike 2 Looking
·
TOR 5·BOS 3
Pitch 1 : Strike 1 Swinging
·
TOR 5·BOS 3
Jeff Hoffman pitches to Romy Gonzalez
·
TOR 5·BOS 3
·
TOR 5·BOS 3
Sogard struck out swinging.
·
TOR 5·BOS 3
−3pp
Pitch 6 : Strike 3 Swinging
·
TOR 5·BOS 3
Pitch 5 : Ball 2
·
TOR 5·BOS 3
Pitch 4 : Strike 2 Foul
·
TOR 5·BOS 3
Pitch 3 : Strike 2 Foul
·
TOR 5·BOS 3
Pitch 2 : Strike 1 Looking
·
TOR 5·BOS 3
Pitch 1 : Ball 1
·
TOR 5·BOS 3
Jeff Hoffman pitches to Nick Sogard
·
TOR 5·BOS 3
·
TOR 5·BOS 3
Toro struck out swinging.
·
TOR 5·BOS 3
−5pp
Pitch 5 : Strike 3 Swinging
·
TOR 5·BOS 3
Pitch 4 : Ball 2
·
TOR 5·BOS 3
Pitch 3 : Strike 2 Looking
·
TOR 5·BOS 3
Pitch 2 : Ball 1
·
TOR 5·BOS 3
Pitch 1 : Strike 1 Looking
·
TOR 5·BOS 3
Jeff Hoffman pitches to Abraham Toro
·
TOR 5·BOS 3
Hoffman relieved Sandlin
·
TOR 5·BOS 3
Bottom of the 9th inning
TOR 5·BOS 3
Middle of the 9th inning
TOR 5·BOS 3
·
TOR 5·BOS 3
Bichette grounded out to shortstop.
·
TOR 5·BOS 3
Pitch 3 : Ball In Play
·
TOR 5·BOS 3
Recap · MLB
oronto Blue Jays went into Boston Red Sox and beat them, 5–3.
ESPN didn't ship a closing line for this game; book settlement summary unavailable.
ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page
Team pages
Elsewhere in the MLB
Player projections
Per-player stat projections built from a recency-weighted blend of the last ten games, season average, and matchup context. Confidence reflects sample size and stability — the top of each list is who to watch.
133
projections · 108 high confidence
Strikeouts
Hits
Total bases
RBIs
Earned runs
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Model ensemble · how the prediction is built
Each sub-model uses a different rating substrate. Bayesian model averaging weights them by rolling Brier score so the ensemble inherits each model's strengths. Disagreement flags games where the sub-models don't see eye-to-eye — lower confidence, wider band.
51.6%
ensemble · BOS favored
Elo Static
50.3%
P(BOS win)
33%
weight
Elo Pitching
48.2%
P(BOS win)
33%
weight
Bullpen Park
51.6%
P(BOS win)
34%
weight
Disagreement
1.40 pp
weighted σ across sub-models
Confidence
91% · high
maps from disagreement
Substrate count
3 / 3 active
ones with full inputs tonight
Weights recalibrated nightly on a 90-day rolling window with strict point-in-time correctness — no model gets credit for a game it hasn't seen. Headline % is Platt-scaled per league; sub-model rows show raw BMA inputs.