NRL | Round 1

alphr.com.au

MAN
Sea Eagles
VS
NQL
Cowboys
4 PINES PARK, SYDNEY • SATURDAY 8 MAR, 7:35 PM

Win Probability

AI Game Review

Our model correctly predicted Sea Eagles to win at 69% probability. The margin model missed here, predicting 9.7 but the actual margin was 30 points. The model went 2/3 on this match. The 1-12 margin band call landed.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Peter Gough officiated this match (183 career games). The combined score of 54 points was 10 points above Peter Gough's career average of 44. Sea Eagles bucked the trend, Cowboys historically win 65% 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', Sea Eagles firmly in control (99%)
SEA42
99%80'1%
12COW
HT100%50%0%0'20'40'60'80'
Cowboys momentumMomentum -26Sea Eagles momentum →
Next Try (within 10 min)
AI Model
86% none
SEA 9%No try 86%COW 5%
Biggest Swings

AI Win Probability

69%Sea EaglesFavourite

Sea Eagles

69%

Cowboys

31%

AI Match Overview

Sea Eagles are clear favourites here at 69%, with our model expecting a comfortable victory over Cowboys. Cowboys are stronger on paper across 4 of 7 key factors, including ELO Difference, Forward Pack and Backline Quality, but Sea Eagles counter with Halves Control which tips the scales. Cowboys carry a 44-point ELO rating advantage (1562 vs 1519). Recent form favours Cowboys with 4 wins from their last 5 compared to 2 for Sea Eagles. The margin model predicts Sea Eagles by 9.7 points with a combined total of 43.

Generated from model features • Pre-kick-off analysis

Edge Analysis

1 ACTIVE EDGE

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

H2H Recommendation

Sea Eagles to Win @1.60

Winner ✓

Edge

-1.9%

Line / Spread

Sea Eagles -4.5 @1.91

Winner ✓

Edge

-1.9%

Total Points

Under 46.5 @1.91

Lost ✗

Edge

+10.1%

Form & History

TeamLast 5Avg Pts
Sea Eagles
W
W
L
L
L
24.0
Cowboys
W
W
W
W
L
34.0

Avg Conceded

31.6

Sea Eagles

16.4

Cowboys

Avg Margin

-7.6

Sea Eagles

17.6

Cowboys

Run Metres

1467

Sea Eagles

1897

Cowboys

Line Breaks

4.2

Sea Eagles

6.6

Cowboys

Referee Indicator

Favours Cowboys

Peter Gough

183 career games · since 2016

AI Analysis

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

Sea Eagles
9W – 9L
50%
Cowboys
17W – 9L
65%

When Peter Gough officiates, Cowboys have won 17 of 26 games (65%), significantly stronger than Sea Eagles's 9 from 18 (50%).

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

Sea Eagles
-1.3
Cowboys
-0.5

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. Cowboys get a +-0.5 penalty advantage under Peter Gough vs Sea Eagles's -1.3.

H2H History (Last 5)Sea Eagles lead 3-2
Apr 2026MAN 38 - 6 NQL
May 2025MAN 24 - 6 NQL
Jul 2024MAN 21 - 20 NQL
Jul 2023MAN 8 - 19 NQL
Jun 2022MAN 26 - 28 NQL
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Cowboys hold the ELO advantage (1562 vs 1519), but the market favours Sea Eagles (@1.60).

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

📊Team ELO Ratings

MAN
1519Overall1562
NQL
ELO difference: -44 in favour of Cowboys

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

967Forwards1031
Best: 1101NQL +64Best: 1150
873Backs936
Best: 926NQL +63Best: 1074
1053Halves1026
Best: 1053MAN +27Best: 1026
1076Hooker1120
NQL +44

📈Recent Form (Last 5)

MAN
Stat
NQL
2.0
Wins (Last 5)
4.0
24.0pts
Avg Score
34.0pts
31.6pts
Avg Conceded
16.4pts
-7.6pts
Avg Margin
17.6pts
1467.0m
Run Metres
1897.0m
4.2
Line Breaks
6.6
308.4
Tackles
317.0
11.0
Errors
12.4

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

69%

Sea Eagles predicted to win by 10 points

Predicted total: 43 · Line: +9.7

2/3 match predictions correct
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