NRL | Round 7

alphr.com.au

MAN
Sea Eagles
VS
SGI
Dragons
4 PINES PARK, SYDNEY • THURSDAY 17 APR, 7:50 PM

Win Probability

AI Game Review

Dragons defied the model's 66% prediction for Sea Eagles, a notable upset. The predicted margin of 4.0 was reasonable against the actual 2-point result. Total score prediction of 41 was close to the actual 38, within 3 points. The model went 1/3 on this match. The over 28.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Peter Gough officiated this match (183 career games). The combined score of 38 points was 6 points below Peter Gough's career average of 44. 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', Dragons firmly in control (99%)
SEA18
1%80'99%
20DRA
HT100%50%0%0'20'40'60'80'
Dragons momentumMomentum +0Sea Eagles momentum →
Next Try (within 10 min)
AI Model
91% none
SEA 5%No try 91%DRA 4%
Biggest Swings

AI Win Probability

66%Sea EaglesFavourite

Sea Eagles

66%

Dragons

34%

AI Match Overview

Sea Eagles are clear favourites here at 66%, with our model expecting a comfortable victory over Dragons. The model sees Sea Eagles ahead on 3 of 7 key factors including ELO Difference, Halves Control and Venue Advantage. Sea Eagles carry a 72-point ELO rating advantage (1512 vs 1441). 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

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

Lost ✗

Edge

+2.3%

Line / Spread

Sea Eagles -3.5 @1.91

Lost ✗

Edge

+2.3%

Total Points

Over 28.5 @1.91

Winner ✓

Edge

+30.9%

Form & History

TeamLast 5Avg Pts
Sea Eagles
W
W
L
L
L
24.8
Dragons
W
W
L
L
L
23.6

Avg Conceded

26.4

Sea Eagles

20.0

Dragons

Avg Margin

-1.6

Sea Eagles

3.6

Dragons

Run Metres

1639

Sea Eagles

1709

Dragons

Line Breaks

5.6

Sea Eagles

6.2

Dragons

Referee Indicator

Balanced

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%
Dragons
14W – 13L
52%

Both sides have a similar record under Peter Gough, Sea Eagles 9W–9L (50%) and Dragons 14W–13L (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

Sea Eagles
-1.3
Dragons
+0.8

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. Dragons get a +0.8 penalty advantage under Peter Gough vs Sea Eagles's -1.3.

H2H History (Last 5)Sea Eagles lead 4-1
Apr 2026MAN 28 - 18 SGI
Sep 2025MAN 40 - 24 SGI
Jun 2024MAN 30 - 14 SGI
Mar 2024MAN 12 - 20 SGI
Aug 2023MAN 24 - 18 SGI
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

MAN
1512Overall1441
SGI
ELO difference: +72 in favour of Sea Eagles

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1067Forwards1135
Best: 1231SGI +68Best: 1290
932Backs1060
Best: 1077SGI +128Best: 1185
1360Halves1089
Best: 1360MAN +271Best: 1089
613Hooker954
SGI +341

📈Recent Form (Last 5)

MAN
Stat
SGI
2.0
Wins (Last 5)
2.0
24.8pts
Avg Score
23.6pts
26.4pts
Avg Conceded
20.0pts
-1.6pts
Avg Margin
3.6pts
1638.6m
Run Metres
1709.2m
5.6
Line Breaks
6.2
315.8
Tackles
360.2
9.2
Errors
12.0

🔑Key Prediction Factors

What the model weighted most in this prediction

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

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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