AI MODEL READ

LEAGUE AVG

BAL vs STL

Baltimore Orioles at St. Louis Cardinals

Wednesday, August 26, 2026

SIMULATION · ONE TRIAL, EVERY MARKET

Watch the model run this game.

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

BALTIMOREBAL
0·0
ST. LOUISSTL
TOP 10-11 OUT

FIELD

BAL DUGOUTSTL DUGOUT330395330LIVE · BETFLY

PITCH SEQUENCE

League Avg (R) vs HP

FB94
CV76.3
CV79.7
SL85.4
FB93.3

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

STL to win

42%

TOTAL

Over 8.5

58%

RUN LINE

STL -1.5

45%

TEAM TOTAL STL

Over 4.5

52%

FIRST 5 INN

STL wins F5

51%
LAST PLAYLeague Avg at the plate · pitch 1 of 5

event 1 / 81 · 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

St. Louis wins

64%

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 EDGEBAL

BAL STARTER

Kyle Bradish

AVERAGE
4.6
PROJECTED Ks
101
PITCHING+

GO-TO PITCHES

Sinker · 35% · 11% whiffSlider · 26% · 35% whiffCurveball · 22% · 38% whiff

STL STARTER

Michael McGreevy

AVERAGE
2.8
PROJECTED Ks
96
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 25% · 14% whiffChangeup · 20% · 27% whiffSinker · 17% · 12% whiff

Watch out: 4-Seam Fastball is getting hit hard lately.

Michael McGreevy grades avg (Pitching+ 96) vs Kyle Bradish grades avg (Pitching+ 101)

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

BAL STL

Game Markets

BAL @ STL · full-game reads

7 MARKETS

Moneyline

BAL to win

58%

1st 5 Innings

STL F5

38%

Game Total

Over 8.5

51%

1st 5 Total

Over 4.5

56%

Run Line

STL -1.5

28%

Team Total

BAL Over 4.5

51%

Team Total

STL Over 4.5

38%

THE READ

BAL projects to outscore STL by 0.94 runs across 5,000 trials.

  • Projected runs: BAL 4.97, STL 4.03
  • Kyle Bradish (BAL) vs Michael McGreevy (STL)
  • Run on league-average lineups — refreshes when lineups post
KB

Kyle Bradish

BAL SP · vs. STL

SP

Strikeouts

5+ Ks

49%

Strikeouts

6+ Ks

31%

Strikeouts

7+ Ks

18%

Strikeouts

8+ Ks

9%

Strikeouts

9+ Ks

4%

Outs Recorded

15+ outs

69%

Outs Recorded

18+ outs

36%

Hits Allowed

5+ hits

54%

Hits Allowed

6+ hits

40%

THE READ

Middle-of-the-road strikeout projection at 4.6 Ks.

  • Sim projects 4.6 strikeouts
  • 49% to reach 5+ against STL
MM

Michael McGreevy

STL SP · vs. BAL

SP

Strikeouts

5+ Ks

15%

Strikeouts

6+ Ks

6%

Strikeouts

7+ Ks

2%

Strikeouts

8+ Ks

1%

Strikeouts

9+ Ks

0%

Outs Recorded

15+ outs

72%

Outs Recorded

18+ outs

20%

Hits Allowed

5+ hits

66%

Hits Allowed

6+ hits

52%

THE READ

Low-strikeout projection at 2.8 Ks — the ladder thins out fast above the first rung.

  • Sim projects 2.8 strikeouts
  • 15% to reach 5+ against BAL

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.