NRL | Round 25

alphr.com.au

MAN
Sea Eagles
VS
DOL
Dolphins
4 PINES PARK, SYDNEY • SATURDAY 23 AUG, 3:00 PM

Win Probability

AI Game Review

Our model correctly predicted Sea Eagles to win at 55% probability. The margin model missed here, predicting 2.1 but the actual margin was 28 points. The game's 88 points came in 44 points higher than the predicted 44. Sea Eagles led 22–12 at the break and pulled away in the second half to win by 28. 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

Ashley Klein officiated this match (386 career games). The combined score of 88 points was 44 points above Ashley Klein's career average of 44. Sea Eagles's victory aligns with Ashley Klein's historical trend, Sea Eagles have a 49% win rate under this referee. Sea Eagles's home victory fits Ashley Klein's profile, home teams win 60% of the time under this referee.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Sea Eagles firmly in control (99%)
SEA58
99%80'1%
30DOL
HT100%50%0%0'20'40'60'80'
Dolphins momentumMomentum -9Sea Eagles momentum →
Next Try (within 10 min)
AI Model
82% none
SEA 9%No try 82%DOL 9%
Biggest Swings

AI Win Probability

55%Sea EaglesFavourite

Sea Eagles

55%

Dolphins

45%

AI Match Overview

Sea Eagles hold the advantage at 55% win probability, though Dolphins are far from out of this at 45%. Dolphins 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. Dolphins carry a 103-point ELO rating advantage (1485 vs 1382). Recent form favours Dolphins with 2 wins from their last 5 compared to 1 for Sea Eagles. The margin model predicts Sea Eagles by 2.1 points with a combined total of 44.

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 @1.75

Winner ✓

Edge

+4.6%

Line / Spread

Sea Eagles -1.5 @1.91

Winner ✓

Edge

+4.6%

Total Points

Under 48.5 @1.91

Lost ✗

Edge

+11.3%

Form & History

TeamLast 5Avg Pts
Sea Eagles
W
L
L
L
L
10.0
Dolphins
W
W
L
L
L
23.0

Avg Conceded

26.4

Sea Eagles

33.6

Dolphins

Avg Margin

-16.4

Sea Eagles

-10.6

Dolphins

Run Metres

1464

Sea Eagles

1620

Dolphins

Line Breaks

2.8

Sea Eagles

5.8

Dolphins

Referee Indicator

Favours Sea Eagles

Ashley Klein

386 career games · since 2010

AI Analysis

Win rate when Ashley Klein refs each team (vs any opponent)

Sea Eagles
19W – 20L
49%
Dolphins
3W – 5L
38%

Sea Eagles hold a 11-point edge: 19W–20L (49%) vs Dolphins's 3W–5L (38%). Home teams win 60% of his matches (vs ~52% league avg).

Avg Total

43.6 pts

Home Win %

60%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

8.9

Sin Bins / Gm

0.16

SB Away %

42%

Avg Penalties Per Game

vs Home Teams4.3
vs Away Teams4.6

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Sea Eagles
-0.8
Dolphins
+0.0

Ashley Klein averages just 8.9 penalties per game, well below average. He lets the game flow. Dolphins get a +0.0 penalty advantage under Ashley Klein vs Sea Eagles's -0.8.

H2H History (Last 3)Sea Eagles lead 2-1
Apr 2026MAN 52 - 18 DOL
May 2024MAN 24 - 30 DOL
Jun 2023MAN 58 - 18 DOL
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Dolphins hold the ELO advantage (1485 vs 1382), but the market favours Sea Eagles (@1.75).

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

📊Team ELO Ratings

MAN
1382Overall1485
DOL
ELO difference: -103 in favour of Dolphins

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1000Forwards872
Best: 1196MAN +128Best: 1158
846Backs942
Best: 997DOL +96Best: 1042
923Halves1152
Best: 923DOL +229Best: 1152
989Hooker1168
DOL +179

📈Recent Form (Last 5)

MAN
Stat
DOL
1.0
Wins (Last 5)
2.0
10.0pts
Avg Score
23.0pts
26.4pts
Avg Conceded
33.6pts
-16.4pts
Avg Margin
-10.6pts
1463.6m
Run Metres
1620.4m
2.8
Line Breaks
5.8
344.0
Tackles
351.6
12.4
Errors
10.4

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

55%

Sea Eagles predicted to win by 2 points

Predicted total: 44 · Line: +2.1

2/3 match predictions correct
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