AI MODEL READ

LEAGUE AVG

BOS vs MIA

Boston Red Sox at Miami Marlins

Wednesday, August 26, 2026

SIMULATION · ONE TRIAL, EVERY MARKET

Watch the model run this game.

One representative trial from the BOS @ MIA simulation — real per-AB batter, outcome, and score progression from the spine. Every game-level market updates in lock-step with each play.

BOSTONBOS
0·0
MIAMIMIA
TOP 10-11 OUT

FIELD

BOS DUGOUTMIA DUGOUT330395330LIVE · BETFLY

PITCH SEQUENCE

League Avg (R) vs HP

FB93.9
FB94
CV77.8

OUTCOME DISTRIBUTION

League Avg in this spot

HR
3%
HIT
9%
BB
9%
K
24%
OUT
55%

BATTER PROPS · LEAGUE AVG

HR YES (O0.5)
12%
HITS O0.5
40%
TOTAL BASES O1.5
24%

PITCHER PROPS · HP

KS O5.5
55%

GAME MARKETS · LIVE

updating per event

MONEYLINE

MIA to win

48%

TOTAL

Over 8.5

58%

RUN LINE

MIA -1.5

45%

TEAM TOTAL MIA

Over 4.5

52%

FIRST 5 INN

MIA wins F5

51%
LAST PLAYLeague Avg at the plate · pitch 1 of 3

event 1 / 78 · pitching

Every card on the board is a live read. As the game changes, the math changes with it — every prop, every market line, in real time. Cards turn green when they hit, red when they miss.

I · MATCHUP BREAKDOWN

Who has the advantage tonight.

The same numbers our 5,000-trial sim ran on — starter quality, projected strikeouts, and every bat in both lineups — not opinions.

PITCHING EDGEBOS

BOS STARTER

Sonny Gray

AVERAGE
4.5
PROJECTED Ks
102
PITCHING+

GO-TO PITCHES

Sinker · 21% · 16% whiffSweeper · 20% · 38% whiffCutter · 19% · 16% whiff

MIA STARTER

Ryan Gusto

AVERAGE
3.3
PROJECTED Ks
98
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 28% · 22% whiffChangeup · 15% · 23% whiffSweeper · 13% · 16% whiff

Ryan Gusto grades avg (Pitching+ 98) vs Sonny Gray grades avg (Pitching+ 102)

II · EVERY MARKET WE RAN

Swipe the whole board.

One card per hitter and pitcher, plus the game markets — the sim's own number on every line it priced, with the reasoning that produced it.

25 simulated lines · raw sim

1 / 4

BOS MIA

Game Markets

BOS @ MIA · full-game reads

7 MARKETS

Moneyline

BOS to win

52%

1st 5 Innings

MIA F5

40%

Game Total

Over 8.5

46%

1st 5 Total

Over 4.5

48%

Run Line

MIA -1.5

31%

Team Total

BOS Over 4.5

43%

Team Total

MIA Over 4.5

38%

THE READ

BOS projects to outscore MIA by 0.40 runs across 5,000 trials.

  • Projected runs: BOS 4.43, MIA 4.03
  • Sonny Gray (BOS) vs Ryan Gusto (MIA)
  • Run on league-average lineups — refreshes when lineups post
SG

Sonny Gray

BOS SP · vs. MIA

SP

Strikeouts

5+ Ks

48%

Strikeouts

6+ Ks

30%

Strikeouts

7+ Ks

15%

Strikeouts

8+ Ks

7%

Strikeouts

9+ Ks

3%

Outs Recorded

15+ outs

100%

Outs Recorded

18+ outs

71%

Hits Allowed

5+ hits

68%

Hits Allowed

6+ hits

55%

THE READ

Middle-of-the-road strikeout projection at 4.5 Ks.

  • Sim projects 4.5 strikeouts
  • 48% to reach 5+ against MIA
RG

Ryan Gusto

MIA SP · vs. BOS

SP

Strikeouts

5+ Ks

23%

Strikeouts

6+ Ks

10%

Strikeouts

7+ Ks

4%

Strikeouts

8+ Ks

1%

Strikeouts

9+ Ks

0%

Outs Recorded

15+ outs

33%

Outs Recorded

18+ outs

3%

Hits Allowed

5+ hits

45%

Hits Allowed

6+ hits

32%

THE READ

Low-strikeout projection at 3.3 Ks — the ladder thins out fast above the first rung.

  • Sim projects 3.3 strikeouts
  • 23% to reach 5+ against BOS

BATTER CARDS
UNLOCK WHEN LINEUPS POST

The sim can't run a hitter until it knows he's in the lineup. Clubs post about two hours before first pitch, and every bat gets a card with HR, hits, total bases and RBI.

III · METHODOLOGY

How this read was built.

  • Simulation. 5,000 Monte Carlo trials of this game using real play-by-play data, confirmed lineups, pitcher quality, bullpen depth, defensive runs saved, catcher framing, umpire K-zones, and per-batter rates regressed with empirical Bayes.
  • What the number means. The share of those 5,000 trials in which the outcome happened — the model's own estimate, not a claim that a sportsbook has mispriced it. We publish it next to the reasoning that produced it and let the settlement record below speak for itself.
  • Settlement. Every read on this page is graded by Kalshi's own settlement market once the game ends. The post-game version of this page shows what was confirmed and what was missed.

DISCLOSURE

BetFly is not a sportsbook, prediction market, or wagering operator. The model reads above are sabermetric simulation output — not advice or a recommendation on whether or how to bet. See our Disclaimer for the full risk disclosure.