AI MODEL READ

LEAGUE AVG

MIN vs SEA

Minnesota Twins at Seattle Mariners

Sunday, August 2, 2026

SIMULATION · ONE TRIAL, EVERY MARKET

Watch the model run this game.

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

MINNESOTAMIN
0·0
SEATTLESEA
TOP 11-01 OUT

FIELD

MIN DUGOUTSEA DUGOUT330395330LIVE · BETFLY

PITCH SEQUENCE

League Avg (R) vs HP

SL86.3
CH84.1
SL83.6

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

SEA to win

51%

TOTAL

Over 8.5

58%

RUN LINE

SEA -1.5

45%

TEAM TOTAL SEA

Over 4.5

52%

FIRST 5 INN

SEA wins F5

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

event 1 / 74 · 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

Minnesota vs Seattle Winner?

57%

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 EDGESEA

MIN STARTER

Taj Bradley

AVERAGE
6.5
PROJECTED Ks
101
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 47% · 15% whiffCutter · 24% · 38% whiffSplit-Finger · 20% · 37% whiff

SEA STARTER

George Kirby

GOOD
4.9
PROJECTED Ks
112
PITCHING+

GO-TO PITCHES

Sweeper · 30% · 27% whiff4-Seam Fastball · 29% · 23% whiffSinker · 21% · 12% whiff

George Kirby grades good (Pitching+ 112) vs Taj Bradley 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

MIN SEA

Game Markets

MIN @ SEA · full-game reads

7 MARKETS

Moneyline

MIN to win

49%

1st 5 Innings

SEA F5

41%

Game Total

Over 8.5

35%

1st 5 Total

Over 4.5

39%

Run Line

SEA -1.5

32%

Team Total

MIN Over 4.5

35%

Team Total

SEA Over 4.5

33%

THE READ

The sim splits this one — 7.40 total runs with under a quarter-run between the sides.

  • Projected runs: MIN 3.76, SEA 3.63
  • Taj Bradley (MIN) vs George Kirby (SEA)
  • Run on league-average lineups — refreshes when lineups post
TB

Taj Bradley

MIN SP · vs. SEA

SP

Strikeouts

5+ Ks

82%

Strikeouts

6+ Ks

67%

Strikeouts

7+ Ks

49%

Strikeouts

8+ Ks

32%

Strikeouts

9+ Ks

18%

Outs Recorded

15+ outs

87%

Outs Recorded

18+ outs

45%

Hits Allowed

5+ hits

49%

Hits Allowed

6+ hits

35%

THE READ

Strikeout-heavy projection — the sim has him at 6.5 Ks, with the ladder still live into the 8+ rung.

  • Sim projects 6.5 strikeouts
  • 82% to reach 5+ against SEA
GK

George Kirby

SEA SP · vs. MIN

SP

Strikeouts

5+ Ks

55%

Strikeouts

6+ Ks

36%

Strikeouts

7+ Ks

21%

Strikeouts

8+ Ks

11%

Strikeouts

9+ Ks

6%

Outs Recorded

15+ outs

90%

Outs Recorded

18+ outs

67%

Hits Allowed

5+ hits

64%

Hits Allowed

6+ hits

50%

THE READ

Middle-of-the-road strikeout projection at 4.9 Ks.

  • Sim projects 4.9 strikeouts
  • 55% to reach 5+ against MIN

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.