Fletcher Sharpe to Score in Vegas

🔄Postgame recap now live — see how the price played out in Vegas.

Round 1 Vegas games are up, and this is exactly the type of profile we look for.

Probability vs performance.

Fletcher Sharpe 1+ Try at $3.50 stands out because the implied probability simply does not match recent production. Let’s break it down properly.

📊 Market Implied Probability

$3.50 implies a probability of 28.6%. This is simply obtained from the decimal odds to probability conversion 1÷3.50.

So the market is saying Sharpe scores a try roughly 3 times in 10 games. Now compare that to actual performance.

📈 Recent Performance

Last 5 Games:

  • 0.8 tries per game
  • 60% hit rate

Last 10 Games:

  • 0.9 tries per game
  • 70% hit rate

A 70% strike rate implies fair odds of around $1.43.

Even if we apply regression and assume his true scoring rate sits closer to 45–50%, fair pricing would land in the $2.00–$2.20 range.

The market is offering $3.50. That’s not thin, that’s margin.

📉 Historical ROI Context

We have limited historical odds data for F. Sharpe due to his injury in Round 16, 2025. This makes it difficult to complete a full assessment of ROI.

🔍 Momentum & Alpha Clarification

Alpha: -28.6
Trend: -0.2

Important note: The Alpha metric is primarily designed for high variance First Try / Last Try markets, where sequencing volatility plays a major role. It measures the gap between historical performance and the probability implied by the market price.

For a 1+ Try market, which is volume-driven rather than timing-driven, Alpha carries far less weighting so we largely disregard it here.

🎯 Why This Grades As Value

Sharpe’s last 10 games show:

✔ Consistent attacking involvement
✔ Multiple multi-try games
✔ Stable scoring output
✔ No price compression

If the market truly believed his probability was anywhere near his recent strike rate, we would be looking at sub-$2.00 pricing.

Instead, we’re getting $3.50.

Even after conservative regression, there is a meaningful gap between implied probability (28.6%) and realistic scoring expectation. That gap is the inefficiency.

🧠 The Bigger Model View

At Model Punt Club, we don’t react to one game. We need a holistic view of:

  • Market implied probability
  • Historical strike rate
  • Role stability
  • Opponent context
  • Regression expectations

And we ask one question:

Is the market underestimating true probability?

Here, the answer appears to be yes. Not because Sharpe is “due.” Not because he scored last outing. But because the price suggests a sub-30% outcome — and the data supports materially higher.

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This content is for educational and entertainment purposes only. Not financial advice. Gamble responsibly.

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