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The latest Bet Better model pick for Stefano Utoikamanu is Over 1.5 on Tries Over.
On Tries Over, our numbers say this bet wins about 1 times in 100 — more often than the price suggests. For the numbers: model probability 1%, implied 1%, edge +0.0%. It updates daily; availability depends on the current NRL schedule.
Model updated Aug 17, 1:28PM UTC
NRL

Stefano Utoikamanu

NRL

+0.0% Edge
Latest Model Pick
Tries Over Over 1.5 +15000 (151.00) · $100→$15,100
+0.0% Edge
Canterbury Bulldogs @ Melbourne Storm
Fri 31 Jul, 10:00AM
Availability not tracked for this sport
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Every pick is graded and published — see the full verified results, win and loss. View results →
Our call
A lean, not a lock
How often this wins
1 in 100
See the numbers

For the numbers: model probability 0.7% · the book's price implies 0.7% · gap +0.0%.

Every Bet on This Player, Graded

MarketModelModel probabilityImpliedFair OddsEdge
Tries Over0.7%—0.7%—+0.0%

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AI Analysis

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Stefano Utoikamanu Over 1.5 To Score 2+ Tries (+15000)

Odds available at pointsbetau at time of publishing

Stefano Utoikamanu is in a good attacking spot when his team, the Melbourne Storm, takes on the Canterbury Bulldogs. He has the power and speed to break through defenses and score tries. While betting on him to score at least two tries is a long shot, the Storm often create plenty of scoring chances, especially at home. If Utoikamanu gets the ball in the right spots, he could surprise us. Just remember, this is risky, and anything can happen in rugby league!

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Pick History & Track Record

DateMatchupMarketLinePickOdds (US)Result
31 Jul 26 Canterbury Bulldogs @ Melbourne Storm Tries Over — — — Pending

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About This Player

Stefano Utoikamanu is tracked by the Bet Better model for NRL player prop betting. The latest model pick for Stefano Utoikamanu is Over 1.5 on Tries Over. The model identifies a slight edge of +0.0% on this pick. Their next game is Canterbury Bulldogs vs Melbourne Storm on Friday 31 July. Review the full pick history and AI analysis above to inform your NRL betting strategy.

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