Free Model Pick · MLB

San Francisco Giants vs Atlanta Braves

Who will win San Francisco Giants vs Atlanta Braves today?

Updated Jun 18, 2026 · 14:08 UTC First pitch 23:15 UTC Status Powered By Supreme Brain · editorially reviewed
— Free model pick
ATL -143

Giants took Braves last night, 7-5. Braves Home Dominance Over Depleted Giants

Model win probability
0.0%
Market-implied (-143) 58.8%
San Francisco Giants logoSF
San Francisco Giants
Away
Atlanta Braves logoATL
Atlanta Braves
Home
Pick parameters
MarketMoneyline
ConfidenceLEAN
Projected edge+0.0pp
50.9%last 90d · n=500+9.6uROI 90dW3streak
01 The simple version

Giants took Braves last night, 7-5. Braves Home Dominance Over Depleted Giants

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

  • SF key absences: Matt Gage (RP, Out, 5.0pt impact); Tyler Mahle (SP, Out, 5.0pt impact); Rowan Wick (RP, Out, 5.0pt impact) — total ~20.0pt swing.
  • Braves outscored opponents by +3.1 per game over last 7 contests while Giants managed only +0.2 over their last 8 games.
  • San Francisco Giants is 29-43 (0.403).

What the model saw

  • Probable starters: Landen Roupp (away) vs Martín Pérez (home).
  • Final lineups were not confirmed at generation time, so the model is working with the projected starters.
!

What could go wrong

  • Atlanta's 3-7 record versus San Francisco over the last 10 meetings suggests the matchup carries historical resistance despite current form divergence.
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: Landen Roupp for the visitors and Martín Pérez 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

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Supreme Brain track record on this product · click to expand

Performance windows

last 30d249-240-11 (50.9% · +9.6% ROI · +47.8u, n=500)
last 90d249-240-11 (50.9% · +9.6% ROI · +47.8u, n=500)
all time249-240-11 (50.9% · +9.6% ROI · +47.8u, n=500)

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