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Kansas City Royals @ Detroit Tigers Prediction

MLB · July 25, 2026 · Lakeshore Edge calibrated model + Polymarket cross-check.

Pass Dog play
Kansas City Royals
+134 on FanDuel  ·  +134 on DraftKings  ·  +135 on BetMGM  ★ MGM BETTER +0.18pp
Model 41%
Market 43%
Edge +2.2 pts

Sub-coinflip pick (model 45%) with only 2.2pt edge. Thin-edge longshots in this band bleed historically; skipped unless the edge clears 4pt.

Why the model leans this way

The model's base read on Kansas City Royals starts at Elo, where a 49-point disadvantage (HCA of +24 Elo points to the home team) maps to a 43% baseline win probability. Recent form across the last 10 games shifted that to 43% after blending the team's last-10 record into the rating.

Tonight's probable starter for Kansas City Royals is Beck Way (ERA 3.22). They face Tarik Skubal on the other side (ERA 2.83). Weather: 80F, 7 mph from ESE.

Multi-book consensus across FanDuel, DraftKings, BetMGM, and Pinnacle prices Kansas City Royals at 42.3% — broadly in line with FanDuel's read. Pinnacle (the sharp-book reference, ~2% vig) has Kansas City Royals at 41.8%. Polymarket's real-money pool reads 40.5%.

How the model got here

Each row is a stage in the probability calculation. The bar is the probability at that stage; the delta on the right is the shift from the previous stage.

Elo baseline
43.0%
Calibration offset
45.4% +2.4pp
Platt rescale
37.0% -8.4pp
Injury report (drag - opponent's drag)
35.5% -1.5pp
Moneyline normalization (both sides to 100%)
41.2% +5.8pp

What other markets think

Implied probability of Kansas City Royals across the books and prediction markets we track, alongside the Lakeshore Edge model's own number.

SourceImplied %Note
FanDuel 42.7% Execution book (this is the price you'd take).
DraftKings 42.7% Cross-book check.
BetMGM 42.5% Cross-book check.
Pinnacle 41.8% Sharp-book reference (~2% vig).
Polymarket 40.5% Real-money prediction-market pool.
Kalshi 39.5% CFTC-regulated event market.
Lakeshore Edge model 41.2% Edge vs FanDuel: +2.2pt.

Model performance on Kansas City Royals picks (60d)

How this side has graded in the journal over the last 60 days. Small slice — context, not a guarantee.

Picks
24
W - L
13 - 11
Win rate
54%
Avg CLV
+4.7pt
ROI
+9.1%

Frequently asked

What's the model's edge on Kansas City Royals @ Detroit Tigers?

The Lakeshore Edge model rates Kansas City Royals at 41% to win or cover, versus FanDuel's implied 43% — a small edge of +2.2pt. That gap is what the model flags as a potential bet. The model has averaged +4.1pt CLV across 734 graded singles, meaning prices it picks tend to drift in the bettor's favor before close.

How likely is Kansas City Royals to win according to the model?

41% by the Lakeshore Edge model. Pinnacle, the industry's sharpest book at ~2% vig, has them at 41.8%; Polymarket's real-money traders price the same outcome at 40.5%. The model blends Elo, recent form, sport-specific factors (pitching, injuries, weather), and live line movement to land on that number.

What's closing-line value (CLV) and why does it matter?

Closing-line value is how much your entry price beats the market's closing price on the same bet. If you pick a side at FanDuel -130 and the line closes at -150, the line moved 4pp toward your side after you locked in — that's positive CLV. CLV is the leading indicator of long-run profit because it's the metric that survives variance: a sustained positive CLV means you're consistently getting a better price than the consensus market settles on. Lakeshore Edge averages +4.1pt CLV on 734 graded singles, beating the close on 91% of them.

How has the model done on Kansas City Royals picks recently?

Over the last 60 days the model has made 24 Kansas City Royals picks, going 13-11 (54% win rate) averaging +4.66pt CLV with 9.06% ROI. Recent-team performance is a small slice; treat it as context for tonight's call rather than a guarantee.

Sports betting involves risk. Past model performance is no guarantee of future results. If gambling is a problem for you, call 1-800-GAMBLER (US) or visit ncpgambling.org for help.