NRL | Round 1

alphr.com.au

MEL
Storm
VS
PAR
Eels
AAMI PARK, MELBOURNE • THURSDAY 5 MAR, 8:00 PM

Win Probability

AI Game Review

Our model correctly predicted Storm to win at 72% probability. The margin model missed here, predicting 5.7 but the actual margin was 48 points. Storm led 18–4 at the break and pulled away in the second half to win by 48. The model went 3/4 on this match. The 1-12 margin band call landed. The over 43.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Todd Smith officiated this match (105 career games). The combined score of 56 points was 10 points above Todd Smith's career average of 46. Storm's victory aligns with Todd Smith's historical trend, Storm have a 69% win rate under this referee.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Storm firmly in control (99%)
STO52
99%80'1%
4EEL
HT100%50%0%0'20'40'60'80'
Eels momentumMomentum +33Storm momentum →
Next Try (within 10 min)
AI Model
13%
80% none
STO 13%No try 80%EEL 7%
Biggest Swings

AI Win Probability

72%StormFavourite

Storm

72%

Eels

28%

AI Match Overview

Storm are clear favourites here at 72%, with our model expecting a comfortable victory over Eels. The model sees Storm ahead on 6 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Storm carry a 73-point ELO rating advantage (1565 vs 1491). Recent form favours Eels with 4 wins from their last 5 compared to 3 for Storm. The margin model predicts Storm by 5.7 points with a combined total of 45.

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 @1.42

Winner ✓

Edge

+5.0%

Line / Spread

Storm -7.5 @1.91

Winner ✓

Edge

+0.0%

Margin Band

Storm 1-12 @2.55

Lost ✗

Edge

+0.0%

Total Points

Over 43.5 @1.91

Winner ✓

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Storm
R2025-R25W
R2025-R26L
R2025-R27L
R2025-R28W
R2025-R30W

older → newer

18.4
Eels
R2025-R23W
R2025-R24L
R2025-R25W
R2025-R26W
R2025-R27W
31.4

Avg Conceded

23.2

Storm

16.0

Eels

Avg Margin

-4.8

Storm

15.4

Eels

Run Metres

1500

Storm

1694

Eels

Line Breaks

3.8

Storm

5.4

Eels

Referee Indicator

Favours Storm

Todd Smith

105 career games · since 2019

AI Analysis

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

Storm
9W – 4L
69%
Eels
9W – 7L
56%

Storm hold a 13-point edge: 9W–4L (69%) vs Eels's 9W–7L (56%). 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

Storm
+0.5
Eels
-0.5

Storm get a +0.5 penalty advantage under Todd Smith vs Eels's -0.5.

H2H History (Last 5)Storm lead 5-0
May 2026MEL 34 - 8 PAR
Aug 2025MEL 16 - 10 PAR
Mar 2025MEL 56 - 18 PAR
Aug 2024MEL 32 - 14 PAR
May 2024MEL 48 - 16 PAR
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

MEL
1565Overall1491
PAR
ELO difference: +73 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1026Forwards987
MEL +39
1085Backs1015
MEL +70
1030Halves1007
MEL +24
1031Hooker983
MEL +48

📈Recent Form (Last 5)

MEL
Stat
PAR
3.0
Wins (Last 5)
4.0
18.4pts
Avg Score
31.4pts
23.2pts
Avg Conceded
16.0pts
-4.8pts
Avg Margin
15.4pts
1500.0m
Run Metres
1693.8m
3.8
Line Breaks
5.4
335.8
Tackles
322.4
10.4
Errors
10.6

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

72%

Storm predicted to win by 6 points

Predicted total: 45 · Line: +5.7

3/4 match predictions correct
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