NRL | Round 14

alphr.com.au

CRO
Sharks
VS
NZL
Warriors
SHARKS STADIUM, SYDNEY • SATURDAY 7 JUNE, 5:30 PM

Win Probability

AI Game Review

Warriors defied the model's 70% prediction for Sharks, a notable upset. The margin model missed here, predicting 6.6 but the actual margin was 30 points. Total score prediction of 44 was close to the actual 50, within 6 points. Warriors led 10–12 at the break and pulled away in the second half to win by 30. A tough result for the model, all 3 picks missed on this one.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Peter Gough officiated this match (183 career games). The combined score of 50 points was 6 points above Peter Gough's career average of 44. Warriors bucked the trend, Sharks historically win 72% of games under Peter Gough, but couldn't convert that edge today. Peter Gough averaged 13.1 penalties per game heading in, a whistle-heavy referee profile.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Warriors firmly in control (99%)
SHA10
1%80'99%
40WAR
HT100%50%0%0'20'40'60'80'
Warriors momentumMomentum -19Sharks momentum →
Next Try (within 10 min)
AI Model
79% none
SHA 11%No try 79%WAR 10%
Biggest Swings

AI Win Probability

70%SharksFavourite

Sharks

70%

Warriors

30%

AI Match Overview

Sharks are clear favourites here at 70%, with our model expecting a comfortable victory over Warriors. Warriors are stronger on paper across 4 of 7 key factors, including ELO Difference, Backline Quality and Halves Control, but Sharks counter with Venue Advantage which tips the scales. Recent form favours Warriors with 4 wins from their last 5 compared to 3 for Sharks. The margin model predicts Sharks by 6.6 points with a combined total of 44.

Generated from model features • Pre-kick-off analysis

Edge Analysis

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

H2H Recommendation

Sharks to Win @1.45

Lost ✗

Edge

-1.5%

Line / Spread

Sharks -5.5 @1.91

Lost ✗

Edge

-1.5%

Total Points

Under 44.5 @1.91

Lost ✗

Edge

-1.0%

Form & History

TeamLast 5Avg Pts
Sharks
W
W
W
L
L
24.6
Warriors
W
W
W
W
L
21.4

Avg Conceded

24.0

Sharks

19.6

Warriors

Avg Margin

0.6

Sharks

1.8

Warriors

Run Metres

1680

Sharks

1635

Warriors

Line Breaks

4.2

Sharks

3.6

Warriors

Referee Indicator

Favours Sharks

Peter Gough

183 career games · since 2016

AI Analysis

Win rate when Peter Gough refs each team (vs any opponent)

Sharks
13W – 5L
72%
Warriors
12W – 11L
52%

When Peter Gough officiates, Sharks have won 13 of 18 games (72%), significantly stronger than Warriors's 12 from 23 (52%).

Avg Total

44.2 pts

Home Win %

53%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

13.1

Sin Bins / Gm

0.43

SB Away %

60%

Avg Penalties Per Game

vs Home Teams6.1
vs Away Teams7

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Sharks
-0.7
Warriors
+0.1

Peter Gough averages 13.1 penalties per game, above the league norm. Expect frequent stoppages. Penalises away teams more, 6.1 against home vs 7 against away. Warriors get a +0.1 penalty advantage under Peter Gough vs Sharks's -0.7.

H2H History (Last 5)Warriors lead 3-2
Apr 2026CRO 36 - 22 NZL
Sep 2024CRO 28 - 30 NZL
Mar 2024CRO 16 - 12 NZL
Jul 2023CRO 12 - 44 NZL
Apr 2023CRO 30 - 32 NZL
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Warriors hold the ELO advantage (1560 vs 1554), but the market favours Sharks (@1.45).

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

📊Team ELO Ratings

CRO
1554Overall1560
NZL
ELO difference: -6 in favour of Warriors

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1055Forwards1059
Best: 1277EvenBest: 1304
889Backs944
Best: 1035NZL +56Best: 1131
1019Halves1260
Best: 1019NZL +240Best: 1260
910Hooker600
CRO +310

📈Recent Form (Last 5)

CRO
Stat
NZL
3.0
Wins (Last 5)
4.0
24.6pts
Avg Score
21.4pts
24.0pts
Avg Conceded
19.6pts
0.6pts
Avg Margin
1.8pts
1680.2m
Run Metres
1634.8m
4.2
Line Breaks
3.6
321.4
Tackles
373.6
11.2
Errors
9.8

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

70%

Sharks predicted to win by 7 points

Predicted total: 44 · Line: +6.6

0/3 match predictions correct
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