AI MODEL READ

LEAGUE AVG

SF vs LAD

San Francisco Giants at Los Angeles Dodgers

Saturday, September 19, 2026

SIMULATION · ONE TRIAL, EVERY MARKET

Watch the model run this game.

One representative trial from the SF @ 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 FRANCISCOSF
0·0
LOS ANGELESLAD
TOP 10-11 OUT

FIELD

SF DUGOUTLAD DUGOUT330395330LIVE · BETFLY

PITCH SEQUENCE

League Avg (R) vs HP

CV77.4
FB93.9
CV78

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

69%

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 3

event 1 / 76 · 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

Los Angeles D wins

32%

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.

PITCHING EDGELAD

SF STARTER

Yunior Marte

SHAKY
3.3
PROJECTED Ks
85
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 52% · 9% whiffSlider · 38% · 34% whiff

LAD STARTER

Tarik Skubal

ELITE
8.4
PROJECTED Ks
121
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 37% · 25% whiffChangeup · 26% · 47% whiffSinker · 18% · 18% whiff

Tarik Skubal grades elite (Pitching+ 121) vs Yunior Marte grades poor (Pitching+ 85)

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

SF LAD

Game Markets

SF @ LAD · full-game reads

7 MARKETS

Moneyline

LAD to win

69%

1st 5 Innings

LAD F5

62%

Game Total

Over 8.5

40%

1st 5 Total

Over 4.5

44%

Run Line

LAD -1.5

52%

Team Total

SF Over 4.5

25%

Team Total

LAD Over 4.5

47%

THE READ

LAD projects to outscore SF by 1.70 runs across 5,000 trials.

  • Projected runs: SF 3.06, LAD 4.77
  • Yunior Marte (SF) vs Tarik Skubal (LAD)
  • Run on league-average lineups — refreshes when lineups post
YM

Yunior Marte

SF SP · vs. LAD

SP

Strikeouts

5+ Ks

24%

Strikeouts

6+ Ks

11%

Strikeouts

7+ Ks

4%

Strikeouts

8+ Ks

1%

Strikeouts

9+ Ks

0%

Outs Recorded

15+ outs

99%

Outs Recorded

18+ outs

64%

Hits Allowed

5+ hits

75%

Hits Allowed

6+ hits

62%

THE READ

Low-strikeout projection at 3.3 Ks — the ladder thins out fast above the first rung.

  • Sim projects 3.3 strikeouts
  • 24% to reach 5+ against LAD
TS

Tarik Skubal

LAD SP · vs. SF

SP

Strikeouts

5+ Ks

96%

Strikeouts

6+ Ks

89%

Strikeouts

7+ Ks

78%

Strikeouts

8+ Ks

64%

Strikeouts

9+ Ks

47%

Outs Recorded

15+ outs

99%

Outs Recorded

18+ outs

81%

Hits Allowed

5+ hits

48%

Hits Allowed

6+ hits

33%

THE READ

Strikeout-heavy projection — the sim has him at 8.4 Ks, with the ladder still live into the 8+ rung.

  • Sim projects 8.4 strikeouts
  • 96% to reach 5+ against SF

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.