AI MODEL READ

SETTLED

ATL vs NYM

Atlanta Braves at New York Mets

Tuesday, July 28, 2026

SIMULATION · ONE TRIAL, EVERY MARKET

Watch the model run this game.

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

ATLANTAATL
0·0
NEW YORKNYM
TOP 11-01 OUT

FIELD

ATL DUGOUTNYM DUGOUT330395330LIVE · BETFLY

PITCH SEQUENCE

ATL Leadoff (R) vs HP

FB93.8
FB94.5
FB94.9
FB95.5
FB96.1

OUTCOME DISTRIBUTION

ATL Leadoff in this spot

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

BATTER PROPS · ATL LEADOFF

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

NYM to win

51%

TOTAL

Over 8.5

58%

RUN LINE

NYM -1.5

45%

TEAM TOTAL NYM

Over 4.5

52%

FIRST 5 INN

NYM wins F5

51%
LAST PLAYATL Leadoff at the plate · pitch 1 of 5

event 1 / 22 · 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 · GAME-LEVEL MODEL

Win probability + total.

GAME WINNER

✗ MISSED

Atlanta vs New York M Winner?

49%

5,000-TRIAL SIMULATION

II · 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 EDGEATL

ATL STARTER

Chris Sale

ELITE
6.6
PROJECTED Ks
120
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 41% · 26% whiffSlider · 39% · 39% whiffChangeup · 12% · 34% whiff

NYM STARTER

Christian Scott

AVERAGE
5.4
PROJECTED Ks
102
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 49% · 27% whiffSweeper · 23% · 34% whiffCutter · 17% · 19% whiff

Christian Scott grades avg (Pitching+ 102) vs Chris Sale grades elite (Pitching+ 120)

III · 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

ATL NYM

Game Markets

ATL @ NYM · full-game reads

7 MARKETS

Moneyline

ATL to win

61%

1st 5 Innings

NYM F5

31%

Game Total

Over 8.5

36%

1st 5 Total

Over 4.5

36%

Run Line

NYM -1.5

22%

Team Total

ATL Over 4.5

41%

Team Total

NYM Over 4.5

25%

THE READ

ATL projects to outscore NYM by 1.21 runs across 5,000 trials.

  • Projected runs: ATL 4.34, NYM 3.12
  • Chris Sale (ATL) vs Christian Scott (NYM)
  • Run on league-average lineups — refreshes when lineups post
CS

Chris Sale

ATL SP · vs. NYM

SP

Strikeouts

5+ Ks

80%

Strikeouts

6+ Ks

65%

Strikeouts

7+ Ks

50%

Strikeouts

8+ Ks

34%

Strikeouts

9+ Ks

22%

Outs Recorded

15+ outs

61%

Outs Recorded

18+ outs

31%

Hits Allowed

5+ hits

31%

Hits Allowed

6+ hits

20%

THE READ

Strikeout-heavy projection — the sim has him at 6.6 Ks, with the ladder still live into the 8+ rung.

  • Sim projects 6.6 strikeouts
  • 80% to reach 5+ against NYM
CS

Christian Scott

NYM SP · vs. ATL

SP

Strikeouts

5+ Ks

67%

Strikeouts

6+ Ks

46%

Strikeouts

7+ Ks

28%

Strikeouts

8+ Ks

15%

Strikeouts

9+ Ks

7%

Outs Recorded

15+ outs

62%

Outs Recorded

18+ outs

15%

Hits Allowed

5+ hits

39%

Hits Allowed

6+ hits

26%

THE READ

Middle-of-the-road strikeout projection at 5.4 Ks.

  • Sim projects 5.4 strikeouts
  • 67% to reach 5+ against ATL

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.

IV · 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.