MLB Baseball

SF vs LAD Prediction

May 13, 2026

10,000 Monte Carlo simulations

SF vs LAD prediction for May 13, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects LAD 3.1 - SF 2.1. LAD is favored with a 64.1% win probability. The run line is -1.5 and the total is 7.5. Model projects 5.2 total runs.

LAD
3.1
Projected Score
VS O/U 7.5
SF
2.1
Projected Score
Win Probability
64.1%
35.9%
LADSF
-1.5
Run Line (LAD)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 65.3% (2,040 games)

Projected Runs Range 10th – 90th percentile

SF
024
LAD
135
FINALLAD 4 — SF 0
Projected
LAD 3.1 — SF 2.1
Actual
LAD 4 — SF 0

Starting Pitcher Matchup

Robbie Ray L
SF
FF49%93 mph18% whiff
SL31%85 mph34% whiff
CH14%86 mph34% whiff
Shohei Ohtani R
LAD
FF43%98 mph26% whiff
ST24%85 mph41% whiff
CU14%75 mph53% whiff

Weather Impact

Dodger Stadium
62°F8 mph wind
HR: 0.978 Total: 0.986
8mph in

Bullpen Comparison

SF
3.43ERA
4.10FIP
7.91K/9
4.90BB/9
1.36WHIP
LAD
3.60ERA
3.19FIP
9.64K/9
3.64BB/9
1.23WHIP

Betting Edges

RUN_LINE AWAY +1.5
-49.0% EV
-110
TOTAL OVER 7.5
-48.8% EV
-123
TOTAL UNDER 7.5
+44.9% EV
+102
F5 UNDER 3.5
+34.9% EV
+114
RUN_LINE HOME -1.5
-16.2% EV
-110
NRFI NRFI
+15.6% EV
-147

First 5 Innings & NRFI

SF F5
0.9 runs
22.8% win
LAD F5
1.8 runs
51.7% win
F5 Total
2.7
NRFI
72.9%
YRFI
27.1%
Avg 1st Inn Runs
0.48

HR Spotlight

Avg HRs
1.4
Over 0.5 HR
74%
Over 1.5 HR
40%
No HR
26%
Andy Pages LAD22.7%
ISO: 0.225 | Barrel: 13.1% | vs Robbie Ray | Park: 0.92x Platoon: 1.12x
Kyle Tucker LAD21.7%
ISO: 0.172 | Barrel: 7.3% | vs Robbie Ray | Park: 0.92x
Teoscar Hernández LAD19.8%
ISO: 0.115 | Barrel: 11.5% | vs Robbie Ray | Park: 0.92x Platoon: 1.12x

Pitcher Strikeout Projections

Robbie Ray
0.0 K projected
SF | K/9: 0.0
Shohei Ohtani
0.0 K projected
LAD | K/9: 0.0

Injury Report

SF8 injured
Jason Foley RP60-DAY-IL
Erik Miller RP15-DAY-IL
Daniel Susac C10-DAY-IL
Logan Webb SP15-DAY-IL
Jared Oliva CF60-DAY-IL
Rowan Wick RP60-DAY-IL
+2 more
LAD8 injured
Ben Casparius RP15-DAY-IL
Edwin Diaz RP60-DAY-IL
Brock Stewart RP15-DAY-IL
Tommy Edman 2B60-DAY-IL
Tyler Glasnow SP15-DAY-IL
Landon Knack SP60-DAY-IL
+2 more

AI Intelligence Analysis

STRONG BET +2YELLOW ZONE50.4% WR (n=252)
Shohei Ohtani (1.05 ERA, A- grade, 32.5% K, elite 0.813 stuff) is a generational ace dominating Robbie Ray (2.98 ERA, B-, 26.2% K); model projects 5.21 total runs vs 7.5 market for ELITE +44.9% UNDER edge (71.7% model prob). F5 UNDER +34.9%, NRFI +15.6% all align; this is our STRONGEST play of the day — SF @ LAD UNDER 7.5.

Key Factors

  • Pitcher elite: Ohtani 1.05 ERA (A- grade, 32.5% K, elite stuff 0.813) vs Ray 2.98 ERA (B-, 26.2% K); generational ace vs solid starter
  • UNDER edge: +44.9% (model 71.7% under vs market 26.9% for under); 2.29 run gap on 7.5 total is elite
  • F5 UNDER: +34.9% edge (63.1% model prob); Ohtani dominance extends to first 5 innings
  • NRFI: +15.6% edge (68.8% NRFI prob); elite starter with K rate 32.5% suppresses early scoring
  • Weather: 62°F cool, 8 mph in, park factor 0.92 (suppresses); marine layer works with Ohtani's dominance

Risk Factors

  • Elite edge (44.9%) has worst historical track record; extreme regression risk (but size down to 1.5x to manage)
  • YELLOW zone on totals (50.4% WR) — totals betting is unreliable; actual WR likely 45-50% despite 44.9% edge
  • Giants have explosive bats (Snell, Floyd); Dodgers power lineup could strike early if Ohtani gives up early contact
Sharp MoneyWith ModelModel heavily favors UNDER; market may not fully respect Ohtani's elite dominance in isolation (Giants typical scoring power anchors line too high).
ELITE PITCHERPITCHER MISMATCHELITE UNDER EDGEF5 EDGENRFI EDGEWEATHER IMPACT

Edge Analysis

Moneyline
LAD 64.1%
-16.2 pts
Run Line
-1.5
-16.2 pts
Total
7.5
+44.9 pts
How this prediction was generated: This page shows output from the Olympus Bets MLB Baseball Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →

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