AI MODEL READ
SETTLEDWSH vs DET
Washington Nationals at Detroit Tigers
Tuesday, September 22, 2026
SIMULATION · ONE TRIAL, EVERY MARKET
Watch the model run this game.
One representative trial from the WSH @ DET 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
James Wood (L) vs HP
OUTCOME DISTRIBUTION
James Wood in this spot
BATTER PROPS · JAMES WOOD
PITCHER PROPS · HP
GAME MARKETS · LIVE
updating per event
MONEYLINE
DET to win
TOTAL
Over 8.5
RUN LINE
DET -1.5
TEAM TOTAL DET
Over 4.5
FIRST 5 INN
DET wins F5
event 1 / 77 · 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
✓ CONFIRMEDWashington 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.
WSH STARTER
Riley Cornelio
SHAKY- 5.6
- PROJECTED Ks
- 86
- PITCHING+
GO-TO PITCHES
Watch out: 4-Seam Fastball is getting hit hard lately.
DET STARTER
Drew Anderson
AVERAGE- 5.4
- PROJECTED Ks
- 99
- PITCHING+
GO-TO PITCHES
Drew Anderson grades avg (Pitching+ 99) vs Riley Cornelio grades poor (Pitching+ 86)
WSH LINEUP
1James Wood (L)hit 65% · HR 24%COLD·UNLUCKY›
HIS PROJECTED LINE · FROM THE SIM
65%
1+ HIT
26%
2+ HITS
24%
HOME RUN
45%
2+ BASES
32%
3+ BASES
26%
4+ BASES
36%
RBI
16%
2+ RBIs
51%
SCORES A RUN
2Daylen Lile (L)hit 62% · HR 16%HOT›
HIS PROJECTED LINE · FROM THE SIM
62%
1+ HIT
24%
2+ HITS
16%
HOME RUN
39%
2+ BASES
24%
3+ BASES
18%
4+ BASES
33%
RBI
14%
2+ RBIs
38%
SCORES A RUN
3Dylan Crews (R)hit 54% · HR 10%›
HIS PROJECTED LINE · FROM THE SIM
54%
1+ HIT
17%
2+ HITS
10%
HOME RUN
30%
2+ BASES
17%
3+ BASES
12%
4+ BASES
28%
RBI
10%
2+ RBIs
30%
SCORES A RUN
4CJ Abrams (L)hit 56% · HR 16%›
HIS PROJECTED LINE · FROM THE SIM
56%
1+ HIT
19%
2+ HITS
16%
HOME RUN
34%
2+ BASES
22%
3+ BASES
17%
4+ BASES
32%
RBI
13%
2+ RBIs
38%
SCORES A RUN
5Andrés Chaparro (R)hit 58% · HR 18%HOT›
HIS PROJECTED LINE · FROM THE SIM
58%
1+ HIT
20%
2+ HITS
18%
HOME RUN
38%
2+ BASES
25%
3+ BASES
20%
4+ BASES
32%
RBI
13%
2+ RBIs
36%
SCORES A RUN
6Jorbit Vivas (L)hit 52% · HR 6%›
HIS PROJECTED LINE · FROM THE SIM
52%
1+ HIT
15%
2+ HITS
6%
HOME RUN
25%
2+ BASES
12%
3+ BASES
7%
4+ BASES
20%
RBI
6%
2+ RBIs
26%
SCORES A RUN
7Yohandy Morales (R)hit 54% · HR 10%HOT›
HIS PROJECTED LINE · FROM THE SIM
54%
1+ HIT
16%
2+ HITS
10%
HOME RUN
30%
2+ BASES
17%
3+ BASES
12%
4+ BASES
23%
RBI
9%
2+ RBIs
30%
SCORES A RUN
8Keibert Ruiz (S)hit 56% · HR 9%›
HIS PROJECTED LINE · FROM THE SIM
56%
1+ HIT
18%
2+ HITS
9%
HOME RUN
29%
2+ BASES
16%
3+ BASES
10%
4+ BASES
23%
RBI
8%
2+ RBIs
29%
SCORES A RUN
9Nasim Nuñez (S)hit 45% · HR 3%COLD›
HIS PROJECTED LINE · FROM THE SIM
45%
1+ HIT
10%
2+ HITS
3%
HOME RUN
17%
2+ BASES
7%
3+ BASES
4%
4+ BASES
15%
RBI
4%
2+ RBIs
29%
SCORES A RUN
DET LINEUP
1Gleyber Torres (R)hit 60% · HR 9%COLD›
HIS PROJECTED LINE · FROM THE SIM
60%
1+ HIT
22%
2+ HITS
9%
HOME RUN
32%
2+ BASES
17%
3+ BASES
11%
4+ BASES
23%
RBI
7%
2+ RBIs
41%
SCORES A RUN
2Hao-Yu Lee (R)hit 61% · HR 12%HOT·THIN›
HIS PROJECTED LINE · FROM THE SIM
61%
1+ HIT
22%
2+ HITS
12%
HOME RUN
36%
2+ BASES
21%
3+ BASES
14%
4+ BASES
28%
RBI
10%
2+ RBIs
42%
SCORES A RUN
3Kevin McGonigle (L)hit 61% · HR 10%›
HIS PROJECTED LINE · FROM THE SIM
61%
1+ HIT
22%
2+ HITS
10%
HOME RUN
33%
2+ BASES
18%
3+ BASES
12%
4+ BASES
27%
RBI
10%
2+ RBIs
41%
SCORES A RUN
4Eduardo Valencia (R)hit 64% · HR 13%HOT›
HIS PROJECTED LINE · FROM THE SIM
64%
1+ HIT
25%
2+ HITS
13%
HOME RUN
40%
2+ BASES
24%
3+ BASES
17%
4+ BASES
36%
RBI
16%
2+ RBIs
36%
SCORES A RUN
5Ben Malgeri (R)hit 54% · HR 12%COLD›
HIS PROJECTED LINE · FROM THE SIM
54%
1+ HIT
17%
2+ HITS
12%
HOME RUN
29%
2+ BASES
17%
3+ BASES
13%
4+ BASES
30%
RBI
12%
2+ RBIs
35%
SCORES A RUN
6Max Clark (L)hit 56% · HR 8%HOT›
HIS PROJECTED LINE · FROM THE SIM
56%
1+ HIT
17%
2+ HITS
8%
HOME RUN
29%
2+ BASES
15%
3+ BASES
10%
4+ BASES
27%
RBI
11%
2+ RBIs
33%
SCORES A RUN
7Spencer Torkelson (R)hit 52% · HR 18%HOT›
HIS PROJECTED LINE · FROM THE SIM
52%
1+ HIT
15%
2+ HITS
18%
HOME RUN
32%
2+ BASES
21%
3+ BASES
18%
4+ BASES
32%
RBI
15%
2+ RBIs
34%
SCORES A RUN
8Javier Báez (R)hit 50% · HR 7%COLD›
HIS PROJECTED LINE · FROM THE SIM
50%
1+ HIT
14%
2+ HITS
7%
HOME RUN
24%
2+ BASES
13%
3+ BASES
8%
4+ BASES
23%
RBI
8%
2+ RBIs
26%
SCORES A RUN
9John Peck (R)hit 46% · HR 7%COLD·UNLUCKY›
HIS PROJECTED LINE · FROM THE SIM
46%
1+ HIT
11%
2+ HITS
7%
HOME RUN
22%
2+ BASES
11%
3+ BASES
7%
4+ BASES
20%
RBI
6%
2+ RBIs
30%
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.
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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
Jackson Kent
WSH SP · vs. DET
Strikeouts
5+ Ks
27%
Strikeouts
6+ Ks
14%
Strikeouts
7+ Ks
6%
Strikeouts
8+ Ks
2%
Strikeouts
9+ Ks
1%
Outs Recorded
15+ outs
33%
Outs Recorded
18+ outs
12%
Hits Allowed
5+ hits
46%
Hits Allowed
6+ hits
33%
THE READ
Low-strikeout projection at 3.5 Ks — the ladder thins out fast above the first rung.
- Sim projects 3.5 strikeouts
- 27% to reach 5+ against DET
Drew Anderson
DET SP · vs. WSH
Strikeouts
5+ Ks
75%
Strikeouts
6+ Ks
56%
Strikeouts
7+ Ks
37%
Strikeouts
8+ Ks
22%
Strikeouts
9+ Ks
10%
Outs Recorded
15+ outs
86%
Outs Recorded
18+ outs
19%
Hits Allowed
5+ hits
45%
Hits Allowed
6+ hits
30%
THE READ
Middle-of-the-road strikeout projection at 5.9 Ks.
- Sim projects 5.9 strikeouts
- 75% to reach 5+ against WSH
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
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