NRL | Round 7

alphr.com.au

DOL
Dolphins
VS
MEL
Storm
SUNCORP STADIUM, BRISBANE • FRIDAY 18 APR, 8:00 PM

Win Probability

AI Game Review

Dolphins defied the model's 59% prediction for Storm, a notable result. The margin model missed here, predicting 4.8 but the actual margin was 20 points. The game's 64 points came in 18 points higher than the predicted 46. Dolphins trailed 12–16 at half-time before staging a second-half comeback to win 42–22. A tough result for the model, all 3 picks missed on this one.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Todd Smith officiated this match (105 career games). The combined score of 64 points was 18 points above Todd Smith's career average of 46.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Dolphins firmly in control (99%)
DOL42
99%80'1%
22STO
HT100%50%0%0'20'40'60'80'
Storm momentumMomentum -6Dolphins momentum →
Next Try (within 10 min)
AI Model
87% none
DOL 8%No try 87%STO 5%
Biggest Swings

AI Win Probability

59%StormFavourite

Dolphins

41%

Storm

59%

AI Match Overview

Storm hold the advantage at 59% win probability, though Dolphins are far from out of this at 41%. Dolphins are stronger on paper across 3 of 7 key factors, including Halves Control, Referee Tendency and Venue Advantage, but Storm counter with ELO Difference and Recent Win Rate which tips the scales. Storm carry a 254-point ELO rating advantage (1705 vs 1452). Recent form favours Storm with 4 wins from their last 5 compared to 2 for Dolphins. The margin model predicts Storm by 4.8 points with a combined total of 46.

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

Storm to Win @1.25

Lost ✗

Edge

-19.0%

Line / Spread

Storm +12.5 @1.91

Lost ✗

Edge

-19.0%

Total Points

Under 51.5 @1.91

Lost ✗

Edge

+15.8%

Form & History

TeamLast 5Avg Pts
Dolphins
W
W
L
L
L
21.6
Storm
W
W
W
W
L
36.8

Avg Conceded

19.6

Dolphins

18.8

Storm

Avg Margin

2.0

Dolphins

18.0

Storm

Run Metres

1741

Dolphins

1669

Storm

Line Breaks

3.8

Dolphins

6.6

Storm

Referee Indicator

Balanced

Todd Smith

105 career games · since 2019

AI Analysis

Win rate when Todd Smith refs each team (vs any opponent)

Dolphins
7W – 3L
70%
Storm
9W – 4L
69%

Both sides have a similar record under Todd Smith, Dolphins 7W–3L (70%) and Storm 9W–4L (69%). Games average 46.1 pts, above the league norm, suggesting a free-flowing style.

Avg Total

46.1 pts

Home Win %

53%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

10.7

Sin Bins / Gm

0.50

SB Away %

52%

Avg Penalties Per Game

vs Home Teams5.3
vs Away Teams5.4

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Dolphins
+0.6
Storm
+0.5
H2H History (Last 4)Storm lead 3-1
May 2026DOL 28 - 10 MEL
Sep 2024DOL 6 - 48 MEL
Jun 2024DOL 24 - 30 MEL
May 2023DOL 16 - 24 MEL
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

DOL
1452Overall1705
MEL
ELO difference: -254 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1144Forwards1137
Best: 1232EvenBest: 1251
1117Backs1111
Best: 1227EvenBest: 1189
1123Halves1018
Best: 1123DOL +105Best: 1018
1200Hooker790
DOL +410

📈Recent Form (Last 5)

DOL
Stat
MEL
2.0
Wins (Last 5)
4.0
21.6pts
Avg Score
36.8pts
19.6pts
Avg Conceded
18.8pts
2.0pts
Avg Margin
18.0pts
1741.4m
Run Metres
1668.8m
3.8
Line Breaks
6.6
370.6
Tackles
305.8
10.6
Errors
12.8

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

59%

Storm predicted to win by 5 points

Predicted total: 46 · Line: -4.8

0/3 match predictions correct
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