AI MODEL READ

LEAGUE AVG

SD vs LAD

San Diego Padres at Los Angeles Dodgers

Thursday, September 24, 2026

SIMULATION · ONE TRIAL, EVERY MARKET

Watch the model run this game.

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

SAN DIEGOSD
0·0
LOS ANGELESLAD
TOP 10-11 OUT

FIELD

SD DUGOUTLAD DUGOUT330395330LIVE · BETFLY

PITCH SEQUENCE

League Avg (R) vs HP

CH85.4
FB92.7
SL84.9
CV76.9
SL84.8

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

LAD to win

58%

TOTAL

Over 8.5

58%

RUN LINE

LAD -1.5

45%

TEAM TOTAL LAD

Over 4.5

52%

FIRST 5 INN

LAD wins F5

51%
LAST PLAYLeague Avg at the plate · pitch 1 of 5

event 1 / 80 · 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.

PITCHING EDGESD

SD STARTER

Nick Pivetta

GOOD
3.5
PROJECTED Ks
106
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 53% · 18% whiffCurveball · 21% · 26% whiffCutter · 14% · 11% whiff

LAD STARTER

Tyler Glasnow

AVERAGE
7.1
PROJECTED Ks
101
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 35% · 17% whiffCurveball · 26% · 52% whiffSinker · 21% · 22% whiff

Tyler Glasnow grades avg (Pitching+ 101) vs Nick Pivetta grades good (Pitching+ 106)

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

SD LAD

Game Markets

SD @ LAD · full-game reads

7 MARKETS

Moneyline

LAD to win

58%

1st 5 Innings

LAD F5

48%

Game Total

Over 8.5

40%

1st 5 Total

Over 4.5

39%

Run Line

LAD -1.5

39%

Team Total

SD Over 4.5

32%

Team Total

LAD Over 4.5

39%

THE READ

LAD projects to outscore SD by 0.55 runs across 5,000 trials.

  • Projected runs: SD 3.61, LAD 4.17
  • Nick Pivetta (SD) vs Tyler Glasnow (LAD)
  • Run on league-average lineups — refreshes when lineups post
NP

Nick Pivetta

SD SP · vs. LAD

SP

Strikeouts

5+ Ks

27%

Strikeouts

6+ Ks

13%

Strikeouts

7+ Ks

5%

Strikeouts

8+ Ks

2%

Strikeouts

9+ Ks

1%

Outs Recorded

15+ outs

21%

Outs Recorded

18+ outs

2%

Hits Allowed

5+ hits

39%

Hits Allowed

6+ hits

25%

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 LAD
TG

Tyler Glasnow

LAD SP · vs. SD

SP

Strikeouts

5+ Ks

86%

Strikeouts

6+ Ks

74%

Strikeouts

7+ Ks

59%

Strikeouts

8+ Ks

42%

Strikeouts

9+ Ks

27%

Outs Recorded

15+ outs

62%

Outs Recorded

18+ outs

26%

Hits Allowed

5+ hits

33%

Hits Allowed

6+ hits

21%

THE READ

Strikeout-heavy projection — the sim has him at 7.1 Ks, with the ladder still live into the 8+ rung.

  • Sim projects 7.1 strikeouts
  • 86% to reach 5+ against SD

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.