Free Model Pick · MLB

San Diego Padres vs Baltimore Orioles

Who will win San Diego Padres vs Baltimore Orioles today?

Updated Jun 12, 2026 · 14:07 UTC First pitch 23:05 UTC Status Powered By Supreme Brain · editorially reviewed
— Free model pick
BAL -143

Orioles took Padres when these teams last met, 7-5. Baltimore Bats Stall; San Diego Road Woes Deepen

Model win probability
0.0%
Market-implied (-143) 58.8%
San Diego Padres logoSD
San Diego Padres
Away
Baltimore Orioles logoBAL
Baltimore Orioles
Home
Pick parameters
MarketMoneyline
ConfidenceLEAN
Projected edge+0.0pp
48.9%last 90d · n=500+5.4uROI 90d
01 The simple version

Orioles took Padres when these teams last met, 7-5. Baltimore Bats Stall; San Diego Road Woes Deepen

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

  • SD key absences: Yu Darvish (SP, Out, 5.0pt impact); Germán Márquez (SP, Out, 5.0pt impact); Joe Musgrove (SP, Out, 5.0pt impact) — total ~20.0pt swing.
  • Baltimore Orioles is 33-37 (0.471).
  • Baltimore's home splits show 21-17 in 38 games at Camden Yards, a 101 park factor hitter-friendly environment with 104 HR factor.

What the model saw

  • Probable starters: Griffin Canning (away) vs Shane Baz (home).
  • Final lineups were not confirmed at generation time, so the model is working with the projected starters.
!

What could go wrong

  • Even verified edges fade against variance — stake responsibly.
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 58.8%
Market-implied (-143) 58.8%
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
Starting Pitchers
Game.probable_*_pitcher
Probable starters are set: Griffin Canning for the visitors and Shane Baz for the home side.
Helpful
Lineups
Game.lineup_confirmed_at (null)
Final lineups had not been confirmed when this page was generated. A late scratch or rest day can flip the model.
Watch
Weather
Game.weather_*
No weather signal was attached to this game at generation time.
Missing
Simulator
Game.simulation_unavailable_reason
No simulator output is available for this game right now. Reason: simulator inputs missing: park_factor. SEO page will surface this honestly instead of faking a probability. The thesis leans 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 · BOS

TEX @ BOS · moneyline at -130

🔒

MLB · TB

TB @ LAA · moneyline at -177

🔒

MLB · MIN

STL @ MIN · moneyline at -142

🔒

MLB · SEA

SEA @ WSH · moneyline at -147

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Supreme Brain track record on this product · click to expand

Performance windows

last 30d238-249-13 (48.9% · +5.4% ROI · +26.9u, n=500)
last 90d238-249-13 (48.9% · +5.4% ROI · +26.9u, n=500)
all time238-249-13 (48.9% · +5.4% ROI · +26.9u, n=500)

Numbers update after every settled slate. Past performance does not predict future results — bet responsibly.