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NHL · Moneyline · Casey Blake “The Matchup”

Seattle Kraken moneyline

Utah Mammoth at Seattle Kraken · Thu, Oct 22, 10:00 p.m. EDT
Estimate cautionWon

Published odds

+146

fanduel · 2.46 dec

Model prob.

47.4%

Market (no-vig)

39.3%

Probability edge

8.1 points

Estimated return / stake

+10.0% (capped)

After uncertainty: +10.0% (capped)

Stake

1.0u

confidence 85%

A large model edge is a reason to be cautious, not a promise.

We cap displayed expected return at +10% and probability edge at 10 percentage points. Higher estimates are marked “Estimate caution.” This is a display safeguard, not proof the true edge is 10%. Original estimates remain visible in each pick’s analysis. Missing injuries, lineups or stale odds can inflate an estimate; any pick can lose.

Original estimates at publication (uncapped)

Expected return: +16.5% · Probability edge: 8.1 percentage points · Uncertainty-adjusted return: +14.3%. These are model estimates, not realized profits or guaranteed advantages.

Result

WON

settled Oct 23, 01:02:04 EDT

Profit / loss

+1.46u

Closing price

+146

CLV +0.0%

Analysis

Executive summary

Casey Blake “The Matchup”: Seattle Kraken to win at 2.46 decimal odds on FanDuel, 1 unit.

Seattle hosts Utah with a modeled win probability of 47.4%. This is a price-based underdog selection—not a claim that Seattle has the stronger scoring-versus-prevention profile.

Statistical rationale

Utah holds the stronger season profile across the supplied 60-game samples:

  • Utah: 3.50 goals scored and 3.07 allowed per game.
  • Seattle: 3.12 goals scored and 3.33 allowed per game.

Utah’s scoring rate against Seattle’s prevention record is the main concern. Seattle’s season offense also faces a Utah defense allowing fewer goals than Seattle’s. The supplied scoring projection favors Utah, 3.70 to 3.12.

Recent performance

Across the latest 10 games:

  • Seattle: 3.90 goals scored and 3.40 allowed per game.
  • Utah: 3.80 goals scored and 3.10 allowed per game.

Seattle’s recent scoring is stronger than its season average and slightly ahead of Utah’s recent output. However, Utah retains the better recent prevention record.

Projected probabilities

  • Seattle win: 47.4%.
  • Market no-vig Seattle probability: 39.3%.
  • Matchup-specialist Seattle probability: 59.5%, based on 80 samples.

The final model estimate is materially lower than the matchup specialist’s estimate; the specialist output should not be treated as the final forecast.

Market price comparison

FanDuel’s 2.46 price requires a 40.7% win rate to break even. The model estimates 47.4%, with:

  • 8.1 percentage points of edge over the supplied no-vig market probability.
  • 16.5% modeled expected return.
  • 14.3% adjusted expected return.

These are estimates, not guaranteed returns.

Reasons supporting the selection

  • Seattle’s recent scoring provides a stronger offensive case than its season average.
  • The matchup specialist supports Seattle more strongly than the final model does.
  • The offered price exceeds the model’s fair odds of 2.11.

Factors that could invalidate it

  • Utah’s superior season scoring and prevention could dominate the matchup.
  • Seattle’s recent scoring improvement may not persist.
  • Seattle’s recent goals allowed remain higher than Utah’s.
  • Utah has 3 rest days, compared with Seattle’s 2.
  • The Utah-favoring scoring projection is a meaningful counterweight to the selection.

Uncertainty and data limitations

Injuries, lineups, starting goalies/pitchers, weather, and advanced metrics—including xG, EPA, DVOA, and FIP—were unavailable and not considered. Referee and active-official information was also unavailable and not considered.

The supplied scoring projection and matchup-specialist probability point in different directions. That disagreement limits conviction in the underlying matchup case, even with favorable modeled value.

Price threshold

Break-even decimal odds = 1 / win probability = 2.1112, approximately 2.11, using the unrounded model probability.

The offered 2.46 clears that threshold. Prices at or below the unrounded break-even threshold would remove the modeled positive expected value.