AI MODEL READ
PRE-LINEUPDET vs CLE
Detroit Tigers at Cleveland Guardians
Friday, September 4, 2026
SIMULATION · ONE TRIAL, EVERY MARKET
Watch the model run this game.
One representative trial from the DET @ CLE 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
Gleyber Torres (R) vs HP
OUTCOME DISTRIBUTION
Gleyber Torres in this spot
BATTER PROPS · GLEYBER TORRES
PITCHER PROPS · HP
GAME MARKETS · LIVE
updating per event
MONEYLINE
CLE to win
TOTAL
Over 8.5
RUN LINE
CLE -1.5
TEAM TOTAL CLE
Over 4.5
FIRST 5 INN
CLE wins F5
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
Cleveland wins
5,000-TRIAL SIMULATION
our sim and the sharpest books agree
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.
DET STARTER
Keider Montero
AVERAGE- 2.4
- PROJECTED Ks
- 95
- PITCHING+
GO-TO PITCHES
CLE STARTER
Logan Allen
SHAKY- 3.1
- PROJECTED Ks
- 88
- PITCHING+
GO-TO PITCHES
Logan Allen grades poor (Pitching+ 88) vs Keider Montero grades avg (Pitching+ 95)
DET LINEUP
1Gleyber Torres (R)hit 63% · HR 10%COLD›
HIS PROJECTED LINE · FROM THE SIM
63%
1+ HIT
25%
2+ HITS
10%
HOME RUN
37%
2+ BASES
20%
3+ BASES
13%
4+ BASES
25%
RBI
9%
2+ RBIs
41%
SCORES A RUN
2Kevin McGonigle (L)hit 63% · HR 8%COLD›
HIS PROJECTED LINE · FROM THE SIM
63%
1+ HIT
24%
2+ HITS
8%
HOME RUN
35%
2+ BASES
19%
3+ BASES
11%
4+ BASES
25%
RBI
8%
2+ RBIs
39%
SCORES A RUN
3Hao-Yu Lee (R)hit 63% · HR 11%›
HIS PROJECTED LINE · FROM THE SIM
63%
1+ HIT
25%
2+ HITS
11%
HOME RUN
38%
2+ BASES
22%
3+ BASES
15%
4+ BASES
29%
RBI
11%
2+ RBIs
35%
SCORES A RUN
4Dillon Dingler (R)hit 66% · HR 16%COLD·UNLUCKY›
HIS PROJECTED LINE · FROM THE SIM
66%
1+ HIT
27%
2+ HITS
16%
HOME RUN
42%
2+ BASES
27%
3+ BASES
20%
4+ BASES
36%
RBI
15%
2+ RBIs
38%
SCORES A RUN
5Riley Greenehit 63% · HR 13%COLD·UNLUCKY›
HIS PROJECTED LINE · FROM THE SIM
63%
1+ HIT
24%
2+ HITS
13%
HOME RUN
39%
2+ BASES
24%
3+ BASES
17%
4+ BASES
31%
RBI
13%
2+ RBIs
37%
SCORES A RUN
6Ben Malgeri (R)hit 59% · HR 9%›
HIS PROJECTED LINE · FROM THE SIM
59%
1+ HIT
20%
2+ HITS
9%
HOME RUN
32%
2+ BASES
18%
3+ BASES
12%
4+ BASES
26%
RBI
10%
2+ RBIs
32%
SCORES A RUN
7Spencer Torkelson (R)hit 55% · HR 12%›
HIS PROJECTED LINE · FROM THE SIM
55%
1+ HIT
18%
2+ HITS
12%
HOME RUN
32%
2+ BASES
19%
3+ BASES
13%
4+ BASES
26%
RBI
10%
2+ RBIs
31%
SCORES A RUN
8Max Clark (L)hit 58% · HR 8%HOT·THIN›
HIS PROJECTED LINE · FROM THE SIM
58%
1+ HIT
19%
2+ HITS
8%
HOME RUN
33%
2+ BASES
18%
3+ BASES
11%
4+ BASES
26%
RBI
9%
2+ RBIs
31%
SCORES A RUN
9Javier Báez (R)hit 52% · HR 7%COLD›
HIS PROJECTED LINE · FROM THE SIM
52%
1+ HIT
15%
2+ HITS
7%
HOME RUN
27%
2+ BASES
13%
3+ BASES
8%
4+ BASES
23%
RBI
8%
2+ RBIs
28%
SCORES A RUN
CLE LINEUP
1Steven Kwan (L)hit 69% · HR 5%›
HIS PROJECTED LINE · FROM THE SIM
69%
1+ HIT
30%
2+ HITS
5%
HOME RUN
38%
2+ BASES
19%
3+ BASES
10%
4+ BASES
21%
RBI
6%
2+ RBIs
41%
SCORES A RUN
2Chase DeLauter (L)hit 70% · HR 13%HOT›
HIS PROJECTED LINE · FROM THE SIM
70%
1+ HIT
33%
2+ HITS
13%
HOME RUN
45%
2+ BASES
27%
3+ BASES
18%
4+ BASES
33%
RBI
13%
2+ RBIs
41%
SCORES A RUN
3José Ramírez (S)hit 62% · HR 8%›
HIS PROJECTED LINE · FROM THE SIM
62%
1+ HIT
24%
2+ HITS
8%
HOME RUN
35%
2+ BASES
19%
3+ BASES
11%
4+ BASES
29%
RBI
10%
2+ RBIs
37%
SCORES A RUN
4Jo Adell (R)hit 64% · HR 13%›
HIS PROJECTED LINE · FROM THE SIM
64%
1+ HIT
26%
2+ HITS
13%
HOME RUN
41%
2+ BASES
24%
3+ BASES
16%
4+ BASES
36%
RBI
15%
2+ RBIs
34%
SCORES A RUN
5Nathaniel Lowe (L)hit 64% · HR 14%›
HIS PROJECTED LINE · FROM THE SIM
64%
1+ HIT
25%
2+ HITS
14%
HOME RUN
39%
2+ BASES
23%
3+ BASES
16%
4+ BASES
32%
RBI
12%
2+ RBIs
35%
SCORES A RUN
6Angel Genao (S)hit 60% · HR 8%›
HIS PROJECTED LINE · FROM THE SIM
60%
1+ HIT
22%
2+ HITS
8%
HOME RUN
33%
2+ BASES
17%
3+ BASES
11%
4+ BASES
25%
RBI
8%
2+ RBIs
29%
SCORES A RUN
7Travis Bazzana (L)hit 55% · HR 9%COLD›
HIS PROJECTED LINE · FROM THE SIM
55%
1+ HIT
18%
2+ HITS
9%
HOME RUN
29%
2+ BASES
15%
3+ BASES
10%
4+ BASES
23%
RBI
8%
2+ RBIs
30%
SCORES A RUN
8Patrick Bailey (S)hit 53% · HR 8%HOT·THIN›
HIS PROJECTED LINE · FROM THE SIM
53%
1+ HIT
16%
2+ HITS
8%
HOME RUN
26%
2+ BASES
13%
3+ BASES
9%
4+ BASES
22%
RBI
8%
2+ RBIs
27%
SCORES A RUN
9Brayan Rocchio (S)hit 54% · HR 8%COLD›
HIS PROJECTED LINE · FROM THE SIM
54%
1+ HIT
16%
2+ HITS
8%
HOME RUN
26%
2+ BASES
13%
3+ BASES
9%
4+ BASES
23%
RBI
8%
2+ RBIs
31%
SCORES A RUN
EDGE TIER · UNLOCK
Every bat, graded by the sim.
Both full lineups with per-hitter sim numbers — hit and HR odds, hot and cold form, and where the damage is likely to come from.
UPGRADE TO EDGE — $10/moIII · EVERY MARKET WE RAN
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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.
18 simulated lines · raw sim
1 / 2
Andrew Sears
DET SP · vs. CLE
Strikeouts
5+ Ks
7%
Strikeouts
6+ Ks
2%
Strikeouts
7+ Ks
1%
Strikeouts
8+ Ks
0%
Strikeouts
9+ Ks
0%
Outs Recorded
15+ outs
18%
Outs Recorded
18+ outs
3%
Hits Allowed
5+ hits
38%
Hits Allowed
6+ hits
26%
THE READ
Low-strikeout projection at 2.2 Ks — the ladder thins out fast above the first rung.
- Sim projects 2.2 strikeouts
- 7% to reach 5+ against CLE
Foster Griffin
CLE SP · vs. DET
Strikeouts
5+ Ks
48%
Strikeouts
6+ Ks
29%
Strikeouts
7+ Ks
15%
Strikeouts
8+ Ks
6%
Strikeouts
9+ Ks
2%
Outs Recorded
15+ outs
92%
Outs Recorded
18+ outs
43%
Hits Allowed
5+ hits
60%
Hits Allowed
6+ hits
46%
THE READ
Middle-of-the-road strikeout projection at 4.5 Ks.
- Sim projects 4.5 strikeouts
- 48% to reach 5+ against DET
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.