Free Model Pick · MLB

Los Angeles Dodgers vs Pittsburgh Pirates

Who will win Los Angeles Dodgers vs Pittsburgh Pirates today?

Updated Jun 9, 2026 · 12:24 UTC First pitch TBD Status Powered By Supreme Brain · editorially reviewed
— Free model pick
LAD -110

The model favors LAD (moneyline) for Los Angeles Dodgers at Pittsburgh Pirates, currently priced at -110.

Model win probability
0.0%
Market-implied (-110) 52.4%
Los Angeles Dodgers logoLAD
Los Angeles Dodgers
Away
Pittsburgh Pirates logoPIT
Pittsburgh Pirates
Home
Pick parameters
MarketMoneyline
ConfidenceLEAN
Projected edge+0.0pp
01 The simple version

The model favors LAD (moneyline) for Los Angeles Dodgers at Pittsburgh Pirates, currently priced at -110.

Moneyline · LEAN · edge clamped to MLB

This is a public free pick, not a guarantee. Read the risk section below before acting on it. Odds can move at any time.

Why the model favors it

  • Los Angeles Dodgers is 42-24 (0.636).
  • The model rates this pick at a 52.4% probability.

What the model saw

!

What could go wrong

  • PIT key absences: Chris Devenski (RP, Out, 5.0pt impact); Joey Bart (C, Out, 5.0pt impact); Konnor Griffin.
  • Pittsburgh Pirates is 34-32 (0.515).
  • Dodgers' own ~20-point injury swing from Glasnow, Snell, and Díaz absences could undermine pitching reliability in a.
  • Lineups were not confirmed when this page generated, so a late scratch could change the picture.
01b How this pick was made

The Supreme Brain is a 56-module prediction engine running on five years of SportsDataIO history. Every stat below traces back to a verified source row, and the thesis passes 11 pre-publish safety gates before it ships.

02 Where the edge comes from

Model vs. market

The model’s win probability against the probability implied by the current price.

Model probability 52.4%
Market-implied (-110) 52.4%
Model’s projected edge
+0.0pp

Edge is clamped to the MLB ceiling. Probabilistic, not a guarantee.

03 Evidence the model leans on

Key signals

The public signals the model relied on most — surfaced honestly, gaps included.

Key Signals
PickLearningCase.pre_game_thesis_json.key_signals
These are the public signals the model relied on most when ranking this pick.
Strong
Simulator
GameSimulation (none)
No simulator output was attached to this game at generation time. The thesis is leaning on the inline model probability instead.
Missing
Model vs Market
PickHistory.model_prob vs market_prob
The model and the betting market mostly agree on this outcome, so there is not a huge hidden edge here.
Watch
04 Risk summary

What could go wrong

A late scratch can flip this pick

These are the things that could break the pick:

PickLearningCase.risk_signals + PickHistory.the_risk
05 Locked — unlock with a free sign-up

The rest of today’s board

🔒

MLB · UNDER 8.5

SEA @ BAL · total at -110

🔒

MLB · SF

WSH @ SF · moneyline at -115

🔒

MLB · TEX

TEX @ KC · moneyline at -123

🔒

MLB · NYM

STL @ NYM · moneyline at -128

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