Free Model Pick · MLB

Philadelphia Phillies vs Kansas City Royals

Who will win Philadelphia Phillies vs Kansas City Royals today?

Updated Jul 6, 2026 · 14:20 UTC First pitch 18:10 UTC Status Powered By Supreme Brain · editorially reviewed
— Free model pick
UNDER 8.5 -110

Royals took Phillies last night, 5-2. Kansas City's Injury Toll Tilts Under

Model win probability
0.0%
Market-implied (-110) 52.4%
Philadelphia Phillies logoPHI
Philadelphia Phillies
Away
Kansas City Royals logoKC
Kansas City Royals
Home
Pick parameters
MarketUnder
ConfidenceFALLBACK
Projected edge+0.0pp
50.6%last 90d · n=500-9.6uROI 90d
01 The simple version

Royals took Phillies last night, 5-2. Kansas City's Injury Toll Tilts Under

Under · FALLBACK · 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

  • PHI vs KC key absences: Jonathan India (2B, Out, 5.0pt impact); Kyle Isbel (CF, Out, 5.0pt impact); Alec Marsh (SP, Out, 5.0pt impact) — total ~20.0pt swing.
  • Royals averaged 5.1 runs per game over last 9 contests while outscoring opponents by minus-0.3, signaling offensive fragility against Philadelphia's rotation.
  • Kc last 9 games: 5-4, averaging 5.1 runs per game, outscoring opponents by -0.3 per game.

What the model saw

  • Probable starters: Cristopher Sánchez (away) vs Noah Cameron (home).
  • Final lineups were not confirmed at generation time, so the model is working with the projected starters.
!

What could go wrong

  • Kyle Isbel's return to the lineup or a surprise starter elevation could shift Kansas City's offensive ceiling above the 8.5 threshold.
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 50.0%
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
Starting Pitchers
Game.probable_*_pitcher
Probable starters are set: Cristopher Sánchez for the visitors and Noah Cameron 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
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 30d250-244-6 (50.6% · -9.6% ROI · -47.9u, n=500)
last 90d250-244-6 (50.6% · -9.6% ROI · -47.9u, n=500)
all time250-244-6 (50.6% · -9.6% ROI · -47.9u, n=500)

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