NRL | Round 10

alphr.com.au

MAN
Sea Eagles
VS
CRO
Sharks
4 PINES PARK, SYDNEY • SUNDAY 11 MAY, 4:05 PM

Win Probability

AI Game Review

Sharks defied the model's 66% prediction for Sea Eagles, a notable upset. The margin model missed here, predicting 4.0 but the actual margin was 16 points. Total score prediction of 41 was close to the actual 44, within 4 points. The model went 1/3 on this match. The under 48.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Gerard Sutton officiated this match (367 career games). The 44-point combined total was right in line with Gerard Sutton's career average of 42. Sharks's victory aligns with Gerard Sutton's historical trend, Sharks have a 55% win rate under this referee. Despite Gerard Sutton's 56% career home-team win rate, the away side Sharks prevailed. 61% of his career sin bins go against away teams, a statistically significant away-team bias.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Sharks firmly in control (99%)
SEA14
1%80'99%
30SHA
HT100%50%0%0'20'40'60'80'
Sharks momentumMomentum -31Sea Eagles momentum →
Next Try (within 10 min)
AI Model
81% none
SEA 8%No try 81%SHA 11%
Biggest Swings

AI Win Probability

66%Sea EaglesFavourite

Sea Eagles

66%

Sharks

34%

AI Match Overview

Sea Eagles are clear favourites here at 66%, with our model expecting a comfortable victory over Sharks. Sharks are stronger on paper across 4 of 7 key factors, including ELO Difference, Backline Quality and Halves Control, but Sea Eagles counter with Forward Pack and Referee Tendency which tips the scales. Sharks carry a 29-point ELO rating advantage (1550 vs 1521). Recent form favours Sharks with 3 wins from their last 5 compared to 2 for Sea Eagles. The margin model predicts Sea Eagles by 4.0 points with a combined total of 41.

Generated from model features • Pre-kick-off analysis

Edge Analysis

3 ACTIVE EDGES

Each market is predicted by an independent model, H2H, margin, and totals may occasionally disagree.

H2H Recommendation

Sea Eagles to Win @1.65

Lost ✗

Edge

+6.9%

Line / Spread

Sea Eagles -2.5 @1.91

Lost ✗

Edge

+6.9%

Total Points

Under 48.5 @1.91

Winner ✓

Edge

+21.9%

Form & History

TeamLast 5Avg Pts
Sea Eagles
W
W
L
L
L
22.4
Sharks
W
W
W
L
L
24.8

Avg Conceded

22.8

Sea Eagles

18.8

Sharks

Avg Margin

-0.4

Sea Eagles

6.0

Sharks

Run Metres

1727

Sea Eagles

1815

Sharks

Line Breaks

5.2

Sea Eagles

3.8

Sharks

Referee Indicator

Favours Sharks

Gerard Sutton

367 career games · since 2011

AI Analysis

Win rate when Gerard Sutton refs each team (vs any opponent)

Sea Eagles
23W – 23L
50%
Sharks
26W – 21L
55%

Sharks hold a 5-point edge: 26W–21L (55%) vs Sea Eagles's 23W–23L (50%). Home teams win 56% of his matches (vs ~52% league avg).

Avg Total

42.0 pts

Home Win %

56%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

11.8

Sin Bins / Gm

0.12

SB Away %

61%

Avg Penalties Per Game

vs Home Teams5.7
vs Away Teams6.1

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Sea Eagles
+0.4
Sharks
-0.3

61% of his 18 career sin bins go to away teams.

H2H History (Last 5)Sharks lead 4-1
Apr 2025MAN 18 - 24 CRO
Sep 2024MAN 20 - 40 CRO
Aug 2023MAN 30 - 26 CRO
May 2023MAN 14 - 20 CRO
Aug 2022MAN 6 - 40 CRO
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Sharks hold the ELO advantage (1550 vs 1521), but the market favours Sea Eagles (@1.65).

The model sides with the market, other factors override the ELO gap.

📊Team ELO Ratings

MAN
1521Overall1550
CRO
ELO difference: -29 in favour of Sharks

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1029Forwards1021
Best: 1262EvenBest: 1309
974Backs1029
Best: 1130CRO +55Best: 1072
1123Halves1285
Best: 1123CRO +162Best: 1285
1200Hooker1008
MAN +192

📈Recent Form (Last 5)

MAN
Stat
CRO
2.0
Wins (Last 5)
3.0
22.4pts
Avg Score
24.8pts
22.8pts
Avg Conceded
18.8pts
-0.4pts
Avg Margin
6.0pts
1727.2m
Run Metres
1814.6m
5.2
Line Breaks
3.8
330.6
Tackles
340.0
9.2
Errors
10.8

🔑Key Prediction Factors

What the model weighted most in this prediction

1
ELO Difference14.0%
Sharks
2
Forward Pack12.0%
Eagles
3
Backline Quality10.0%
Sharks
4
Halves Control9.0%
Sharks
5
Recent Win Rate9.0%
Sharks
6
Referee Tendency7.0%
Eagles
7
Venue Advantage7.0%

Model Confidence

66%

Sea Eagles predicted to win by 4 points

Predicted total: 41 · Line: +4.0

1/3 match predictions correct
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