AI MODEL READ
LEAGUE AVGTEX vs MIN
Texas Rangers at Minnesota Twins
Saturday, September 26, 2026
SIMULATION · ONE TRIAL, EVERY MARKET
Watch the model run this game.
One representative trial from the TEX @ MIN simulation — real per-AB batter, outcome, and score progression from the spine. Every game-level market updates in lock-step with each play.
FIELD
PITCH SEQUENCE
League Avg (R) vs HP
OUTCOME DISTRIBUTION
League Avg in this spot
BATTER PROPS · LEAGUE AVG
PITCHER PROPS · HP
GAME MARKETS · LIVE
updating per event
MONEYLINE
MIN to win
TOTAL
Over 8.5
RUN LINE
MIN -1.5
TEAM TOTAL MIN
Over 4.5
FIRST 5 INN
MIN wins F5
event 1 / 73 · 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.
TEX STARTER
Nathan Eovaldi
AVERAGE- 4.9
- PROJECTED Ks
- 105
- PITCHING+
GO-TO PITCHES
MIN STARTER
Bailey Ober
SHAKY- 3.2
- PROJECTED Ks
- 88
- PITCHING+
GO-TO PITCHES
Bailey Ober grades poor (Pitching+ 88) vs Nathan Eovaldi grades avg (Pitching+ 105)
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
Game Markets
TEX @ MIN · full-game reads
Moneyline
TEX to win
58%
1st 5 Innings
MIN F5
33%
Game Total
Over 8.5
47%
1st 5 Total
Over 4.5
50%
Run Line
MIN -1.5
26%
Team Total
TEX Over 4.5
48%
Team Total
MIN Over 4.5
35%
THE READ
TEX projects to outscore MIN by 1.06 runs across 5,000 trials.
- Projected runs: TEX 4.85, MIN 3.78
- Nathan Eovaldi (TEX) vs Bailey Ober (MIN)
- Run on league-average lineups — refreshes when lineups post
Nathan Eovaldi
TEX SP · vs. MIN
Strikeouts
5+ Ks
54%
Strikeouts
6+ Ks
35%
Strikeouts
7+ Ks
22%
Strikeouts
8+ Ks
12%
Strikeouts
9+ Ks
5%
Outs Recorded
15+ outs
35%
Outs Recorded
18+ outs
10%
Hits Allowed
5+ hits
35%
Hits Allowed
6+ hits
23%
THE READ
Middle-of-the-road strikeout projection at 4.9 Ks.
- Sim projects 4.9 strikeouts
- 54% to reach 5+ against MIN
Bailey Ober
MIN SP · vs. TEX
Strikeouts
5+ Ks
21%
Strikeouts
6+ Ks
9%
Strikeouts
7+ Ks
3%
Strikeouts
8+ Ks
1%
Strikeouts
9+ Ks
0%
Outs Recorded
15+ outs
85%
Outs Recorded
18+ outs
42%
Hits Allowed
5+ hits
69%
Hits Allowed
6+ hits
55%
THE READ
Low-strikeout projection at 3.2 Ks — the ladder thins out fast above the first rung.
- Sim projects 3.2 strikeouts
- 21% to reach 5+ against TEX
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.