Which side does The One Analytics' model favor in MIA at TOR?

The model favors MIA, based on a weighted edge across matchup factors. The pick is logged before the game and graded in public.

When is the pick logged, and can it change?

Every model pick is timestamped before the game starts and is never edited after the fact.

Miami Marlins vs Toronto Blue Jays: Final Score & Box Score — May 26, 2026

FINAL+7TOR

MIA

26-30

TOR

26-29

Rogers Centre · Toronto, Ontario

42,815 attended

Line movement

200 snapshots

TOR spread

-1.5

open -1.5

Total

O/U 8.0

open O/U 8.0

TOR no-vig %

55.1%

open 55.1%

Stepped lines reflect captured market snapshots from odds_snapshots. Spread sign convention: negative = TOR favored. Live mode caps the in-game branch to the last 60 minutes.

Model ensemble · how the prediction is built

3 sub-models, blended.

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.

53.4%

ensemble · TOR favored

Elo Static
52.3%
P(TOR win)
33%
weight
Elo Pitching
52.0%
P(TOR win)
33%
weight
Bullpen Park
51.9%
P(TOR win)
34%
weight

Disagreement

0.17 pp

weighted σ across sub-models

Confidence

99% · 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.

The receipts

Closing-line value.

-1.20

CLV pp

Open price

+113

Close price

+119

Open no-vig

44.9%

Close no-vig

43.7%

Market faded the model · Graded: miss

How we read this game

Which side does The One Analytics' model favor in MIA at TOR?: The model favors MIA, based on a weighted edge across matchup factors. The pick is logged before the game and graded in public.
When is the pick logged, and can it change?: Every model pick is timestamped before the game starts and is never edited after the fact.

Line shopping · 1 book

Where to bet this game.

Same model, different prices. The same moneyline can vary 25¢ across books — taking the worst price wipes out a real edge instantly. Star marks the best-paying book per side.

MIA

no live price

TOR

no live price

Book	MIA	TOR	Best edge
DraftKings	+102	-123	+0.8

Edges shown are model probability minus no-vig implied probability for that side at that book. Stars mark the highest-paying cell per side. Lines refresh every 60 seconds.

Player projections

TOR vs MIA.

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.

130

projections · 107 high confidence

Strikeouts

Dylan CeaseTOR
8.5± 2.7high
Eury PerezMIA
5.9± 3.2medium
Sandy AlcantaraMIA
5.4± 1.9high

Hits

George SpringerTOR
1.2± 0.5high
Otto LopezMIA
1.1± 1.1high
Kyle StowersMIA
1.0± 0.7high

Total bases

Kyle StowersMIA
2.2± 2.3high
George SpringerTOR
2.0± 1.5high
Griffin ConineMIA
1.6± 2.2high

RBIs

Owen CaissieMIA
0.7± 1.1high
George SpringerTOR
0.7± 1.3high
Heriberto HernandezMIA
0.6± 1.1high

Earned runs

Jameson TaillonTOR
3.5± 2.7medium
Max ScherzerTOR
3.4± 3.9low
Janson JunkMIA
2.8± 3.5medium

Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands

Matchup · 2026

Team rate stats vs league

MLB Stats API

MIA

league avg

TOR

.731

OPS

◀

.720

.680

.325

OBP

◀

.318

.303

4.37

Runs / G

◀

4.50

3.89

3.99

Team ERA

◀

4.18

4.07

1.24

WHIP

◀

1.30

1.32

8.5

K / 9

8.5

▶

9.0

Postgame · final

The morning-after recap.

Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.

Final

TOR wins

MIA 1 · TOR 8 (by 7)

Model verdict

✓ Hit

Picked TOR +2pp

Against the spread

No spread

Line score

Inning by inning

Team	1	2	3	4	5	6	7	8	9	R
MIA	0	0	0	0	1	0	0	0	0	1
TOR	0	1	1	0	0	6	0	0	8

What's next

Tomorrow's slate is open.

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.

MLB edges →Full slate →

Tomorrow's board↗Tomorrow's board↗

21+ · we may earn a referral fee · your odds unchanged.

Data via ESPN · MLB Stats API · Baseball Savant

batting box score. Tap a column header to sort by that stat; tap again to reverse, a third time to clear. The team leader in each stat is highlighted. Players who did not play are listed at the bottom.
Player
X. Edwards2B	.306	3	0	0	0	0	0	1
L. HicksC	.269	4	0	0	0	0	0	0
O. LopezSS	.330	4	0	1	0	0	0	0
K. Stowers1B	.210	3	0	0	0	0	1	1
C. Norby1B	.217	3	0	0	0	0	1	1
J. MarseeCF	.197	3	1	1	0	0	1	0
H. HernandezLF	.196	4	0	1	1	0	0	2
J. MackC	.211	3	0	0	0	0	0	0
J. Sanoja3B	.281	3	0	2	0	0	0	0
G. Pauley3B	.173	1	0	0	0	0	0	0
Team		31	1	5	1	0	3	5

Player

.306

.269

.330

.210

.217

.197

.196

.211

.281

.173

Team

pitching box score. Tap a column header to sort by that stat; tap again to reverse, a third time to clear. The team leader in each stat is highlighted. Players who did not play are listed at the bottom.
Player
S. AlcantaraSP	5.2	10	8	8	1	4	95
C. GibsonRP	2.1	2	0	0	0	2	35
Team	8.0	12	8	8	1	6	130

Player

S. AlcantaraSP

5.2

C. GibsonRP

2.1

Team

8.0

130

batting box score. Tap a column header to sort by that stat; tap again to reverse, a third time to clear. The team leader in each stat is highlighted. Players who did not play are listed at the bottom.
Player
G. SpringerDH	.214	4	1	3	1	0	0	0
D. VarshoCF	.270	4	2	2	0	0	1	1
J. SanchezRF	.285	4	1	2	4	1	0	2
K. Okamoto3B	.215	4	0	1	1	0	0	2
Y. PinangoLF	.303	4	1	1	1	1	0	1
E. Clement2B	.298	4	1	1	1	1	0	0
A. GimenezSS	.220	4	0	0	0	0	0	0
B. ValenzuelaC	.250	4	1	2	0	0	0	0
L. Sosa2B	.188	3	1	0	0	0	0	0
Team		35	8	12	8	3	1	6

pitching box score. Tap a column header to sort by that stat; tap again to reverse, a third time to clear. The team leader in each stat is highlighted. Players who did not play are listed at the bottom.
Player
B. FisherRP	1.0	1	0	0	0	1	12
S. MilesRP	4.1	3	1	1	1	3	66
A. MackoRP	0.2	0	0	0	0	0	9
Y. RodriguezRP	1.0	0	0	0	0	0	11
T. AndrewsRP	2.0	1	0	0	2	1	28
Team	9.0	5	1	1	3	5	126

Team

MIA

TOR

—

3 sub-models, blended.

Closing-line value.

Where to bet this game.

TOR vs MIA.

Team rate stats vs league

The morning-after recap.

Inning by inning

Tomorrow's slate is open.

Where to bet this game.

Closing-line value.

Batters

Pitchers

Batters

Pitchers

TOR vs MIA.

3 sub-models, blended.