Free Model Pick · MLB

Colorado Rockies vs San Francisco Giants

Who will win Colorado Rockies vs San Francisco Giants today?

Updated Jul 12, 2026 · 13:36 UTC First pitch 20:05 UTC Status Powered By Supreme Brain · editorially reviewed
— Free model pick
SF -143

Giants took Rockies last night, 4-2. Giants Exploit Rockies' Injury Cascade at Coors

Model win probability
0.0%
Market-implied (-143) 58.8%
Colorado Rockies logoCOL
Colorado Rockies
Away
San Francisco Giants logoSF
San Francisco Giants
Home
Pick parameters
MarketMoneyline
ConfidenceLEAN
Projected edge+0.0pp
50.1%last 90d · n=500-10.2uROI 90d
01 The simple version

Giants took Rockies last night, 4-2. Giants Exploit Rockies' Injury Cascade at Coors

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

  • COL key absences: Kris Bryant (DH, Out, 5.0pt impact); Tomoyuki Sugano (SP, Out, 5.0pt impact); Brenton Doyle (CF, Out, 5.0pt impact) — total ~20.0pt swing.
  • San Francisco Giants is 37-51 (0.420).
  • Coors Field's 115 park factor and 106 HR index favor hitters, yet Colorado's road record sits 15-29 while SF's home splits show 18-22 in 40 games.

What the model saw

  • Probable starters: Michael Lorenzen (away) vs Trevor McDonald (home).
  • Final lineups were not confirmed at generation time, so the model is working with the projected starters.
!

What could go wrong

  • Colorado's last 9 games show a +0.3 run differential and 4.7 runs per game average, outpacing San Francisco's anemic +0.2 per-game margin over the same stretch.
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: Michael Lorenzen for the visitors and Trevor McDonald 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

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TOR @ SD · moneyline at -127

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SEA @ TB · moneyline at -131

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MLB · DET

PHI @ DET · moneyline at -114

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MLB · NYY

NYY @ WSH · moneyline at -113

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Supreme Brain track record on this product · click to expand

Performance windows

last 30d247-246-7 (50.1% · -10.2% ROI · -51.2u, n=500)
last 90d247-246-7 (50.1% · -10.2% ROI · -51.2u, n=500)
all time247-246-7 (50.1% · -10.2% ROI · -51.2u, n=500)

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