AI MODEL READ

LEAGUE AVG

MIL vs LAA

Milwaukee Brewers at Los Angeles Angels

Sunday, August 2, 2026

SIMULATION · ONE TRIAL, EVERY MARKET

Watch the model run this game.

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

MILWAUKEEMIL
0·0
LOS ANGELESLAA
TOP 10-11 OUT

FIELD

MIL DUGOUTLAA DUGOUT330395330LIVE · BETFLY

PITCH SEQUENCE

League Avg (R) vs HP

FB94.5
CV78.6

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

LAA to win

34%

TOTAL

Over 8.5

58%

RUN LINE

LAA -1.5

45%

TEAM TOTAL LAA

Over 4.5

52%

FIRST 5 INN

LAA wins F5

51%
LAST PLAYLeague Avg at the plate · pitch 1 of 2

event 1 / 75 · 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

Milwaukee vs Los Angeles A Winner?

44%

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 EDGEMIL

MIL STARTER

Jacob Misiorowski

ELITE
9.6
PROJECTED Ks
130
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 64% · 43% whiffCutter · 14% · 21% whiffCurveball · 11% · 47% whiff

LAA STARTER

Walbert Ureña

GOOD
5.1
PROJECTED Ks
105
PITCHING+

GO-TO PITCHES

Changeup · 32% · 37% whiffSinker · 31% · 20% whiff4-Seam Fastball · 22% · 20% whiff

Walbert Ureña grades good (Pitching+ 105) vs Jacob Misiorowski grades elite (Pitching+ 130)

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

MIL LAA

Game Markets

MIL @ LAA · full-game reads

7 MARKETS

Moneyline

MIL to win

66%

1st 5 Innings

LAA F5

24%

Game Total

Over 8.5

29%

1st 5 Total

Over 4.5

29%

Run Line

LAA -1.5

17%

Team Total

MIL Over 4.5

41%

Team Total

LAA Over 4.5

17%

THE READ

MIL projects to outscore LAA by 1.74 runs across 5,000 trials.

  • Projected runs: MIL 4.25, LAA 2.52
  • Jacob Misiorowski (MIL) vs Walbert Ureña (LAA)
  • Run on league-average lineups — refreshes when lineups post
JM

Jacob Misiorowski

MIL SP · vs. LAA

SP

Strikeouts

5+ Ks

98%

Strikeouts

6+ Ks

94%

Strikeouts

7+ Ks

88%

Strikeouts

8+ Ks

78%

Strikeouts

9+ Ks

66%

Outs Recorded

15+ outs

81%

Outs Recorded

18+ outs

46%

Hits Allowed

5+ hits

25%

Hits Allowed

6+ hits

14%

THE READ

Strikeout-heavy projection — the sim has him at 9.6 Ks, with the ladder still live into the 8+ rung.

  • Sim projects 9.6 strikeouts
  • 98% to reach 5+ against LAA
WU

Walbert Ureña

LAA SP · vs. MIL

SP

Strikeouts

5+ Ks

58%

Strikeouts

6+ Ks

39%

Strikeouts

7+ Ks

23%

Strikeouts

8+ Ks

12%

Strikeouts

9+ Ks

5%

Outs Recorded

15+ outs

54%

Outs Recorded

18+ outs

16%

Hits Allowed

5+ hits

43%

Hits Allowed

6+ hits

28%

THE READ

Middle-of-the-road strikeout projection at 5.1 Ks.

  • Sim projects 5.1 strikeouts
  • 58% to reach 5+ against MIL

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.