AI MODEL READ
PRE-LINEUPMIL vs SD
Milwaukee Brewers at San Diego Padres
Tuesday, October 6, 2026
SIMULATION · ONE TRIAL, EVERY MARKET
Watch the model run this game.
One representative trial from the MIL @ SD 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
MIL Leadoff (R) vs HP
OUTCOME DISTRIBUTION
MIL Leadoff in this spot
BATTER PROPS · MIL LEADOFF
PITCHER PROPS · HP
GAME MARKETS · LIVE
updating per event
MONEYLINE
SD to win
TOTAL
Over 8.5
RUN LINE
SD -1.5
TEAM TOTAL SD
Over 4.5
FIRST 5 INN
SD wins F5
event 1 / 14 · 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
San Diego wins
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.
MIL STARTER
Dustin May
GOOD- 3.7
- PROJECTED Ks
- 106
- PITCHING+
GO-TO PITCHES
SD STARTER
Nick Pivetta
AVERAGE- 3.5
- PROJECTED Ks
- 103
- PITCHING+
GO-TO PITCHES
Nick Pivetta grades avg (Pitching+ 103) vs Dustin May grades good (Pitching+ 106)
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
Game Markets
MIL @ SD · full-game reads
Moneyline
MIL to win
53%
1st 5 Innings
SD F5
42%
Game Total
Over 8.5
40%
1st 5 Total
Over 4.5
44%
Run Line
SD -1.5
30%
Team Total
MIL Over 4.5
41%
Team Total
SD Over 4.5
33%
THE READ
MIL projects to outscore SD by 0.49 runs across 5,000 trials.
- Projected runs: MIL 4.23, SD 3.73
- Dustin May (MIL) vs Nick Pivetta (SD)
- Run on league-average lineups — refreshes when lineups post
Dustin May
MIL SP · vs. SD
Strikeouts
5+ Ks
31%
Strikeouts
6+ Ks
18%
Strikeouts
7+ Ks
9%
Strikeouts
8+ Ks
4%
Strikeouts
9+ Ks
2%
Outs Recorded
15+ outs
30%
Outs Recorded
18+ outs
12%
Hits Allowed
5+ hits
35%
Hits Allowed
6+ hits
23%
THE READ
Low-strikeout projection at 3.7 Ks — the ladder thins out fast above the first rung.
- Sim projects 3.7 strikeouts
- 31% to reach 5+ against SD
Nick Pivetta
SD SP · vs. MIL
Strikeouts
5+ Ks
26%
Strikeouts
6+ Ks
13%
Strikeouts
7+ Ks
5%
Strikeouts
8+ Ks
2%
Strikeouts
9+ Ks
0%
Outs Recorded
15+ outs
9%
Outs Recorded
18+ outs
1%
Hits Allowed
5+ hits
29%
Hits Allowed
6+ hits
18%
THE READ
Low-strikeout projection at 3.5 Ks — the ladder thins out fast above the first rung.
- Sim projects 3.5 strikeouts
- 26% 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.