NRL | Round 19

alphr.com.au

CRO
Sharks
VS
DOL
Dolphins
SHARKS STADIUM, SYDNEY • FRIDAY 11 JULY, 8:00 PM

Win Probability

AI Game Review

Our model correctly predicted Sharks to win at 70% probability. The predicted margin of 7.5 was reasonable against the actual 12-point result. A clean sweep, all 3 model picks hit for this match.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Adam Gee officiated this match (295 career games). The combined score of 36 points was 7 points below Adam Gee's career average of 43. Sharks's victory aligns with Adam Gee's historical trend, Sharks have a 71% win rate under this referee. Sharks's home victory fits Adam Gee's profile, home teams win 57% of the time under this referee. Adam Gee averaged 13.7 penalties per game heading in, a whistle-heavy referee profile. 69% 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%)
SHA24
99%80'1%
12DOL
HT100%50%0%0'20'40'60'80'
Dolphins momentumMomentum +7Sharks momentum →
Next Try (within 10 min)
AI Model
89% none
SHA 6%No try 89%DOL 5%
Biggest Swings

AI Win Probability

70%SharksFavourite

Sharks

70%

Dolphins

30%

AI Match Overview

Sharks are clear favourites here at 70%, with our model expecting a comfortable victory over Dolphins. Dolphins are stronger on paper across 4 of 7 key factors, including ELO Difference, Forward Pack and Backline Quality, but Sharks counter with Halves Control and Referee Tendency which tips the scales. Dolphins carry a 115-point ELO rating advantage (1590 vs 1475). Recent form favours Dolphins with 4 wins from their last 5 compared to 1 for Sharks. The margin model predicts Sharks by 7.5 points with a combined total of 43.

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

Sharks to Win @1.68

Winner ✓

Edge

+3.9%

Line / Spread

Sharks -3.5 @1.91

Winner ✓

Edge

+3.9%

Total Points

Under 48.5 @1.91

Winner ✓

Edge

+15.0%

Form & History

TeamLast 5Avg Pts
Sharks
W
L
L
L
L
18.0
Dolphins
W
W
W
W
L
45.6

Avg Conceded

32.8

Sharks

14.4

Dolphins

Avg Margin

-14.8

Sharks

31.2

Dolphins

Run Metres

1629

Sharks

1967

Dolphins

Line Breaks

4.8

Sharks

7.6

Dolphins

Referee Indicator

Favours Sharks

Adam Gee

295 career games · since 2013

AI Analysis

Win rate when Adam Gee refs each team (vs any opponent)

Sharks
30W – 12L
71%
Dolphins
5W – 9L
36%

When Adam Gee officiates, Sharks have won 30 of 42 games (71%), significantly stronger than Dolphins's 5 from 14 (36%). Home teams win 57% of his matches (vs ~52% league avg).

Avg Total

42.8 pts

Home Win %

57%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

13.7

Sin Bins / Gm

0.24

SB Away %

69%

Avg Penalties Per Game

vs Home Teams6.3
vs Away Teams7.4

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Sharks
+0.8
Dolphins
+0.0

Adam Gee averages 13.7 penalties per game, above the league norm. Expect frequent stoppages. Penalises away teams more, 6.3 against home vs 7.4 against away. Sharks get a +0.8 penalty advantage under Adam Gee vs Dolphins's +0.0. 69% of his 36 career sin bins go to away teams.

H2H History (Last 3)Dolphins lead 3-0
Mar 2026CRO 10 - 38 DOL
Jun 2024CRO 28 - 30 DOL
May 2023CRO 16 - 36 DOL
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Dolphins hold the ELO advantage (1590 vs 1475), but the market favours Sharks (@1.68).

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

📊Team ELO Ratings

CRO
1475Overall1590
DOL
ELO difference: -115 in favour of Dolphins

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

996Forwards1044
Best: 1234DOL +47Best: 1252
935Backs1016
Best: 1016DOL +81Best: 1110
1267Halves1203
Best: 1267CRO +64Best: 1203
1062Hooker1184
DOL +122

📈Recent Form (Last 5)

CRO
Stat
DOL
1.0
Wins (Last 5)
4.0
18.0pts
Avg Score
45.6pts
32.8pts
Avg Conceded
14.4pts
-14.8pts
Avg Margin
31.2pts
1629.2m
Run Metres
1967.0m
4.8
Line Breaks
7.6
356.8
Tackles
306.2
10.4
Errors
9.0

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

70%

Sharks predicted to win by 8 points

Predicted total: 43 · Line: +7.5

3/3 match predictions correct
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