NRL | Round 3

alphr.com.au

MEL
Storm
VS
BRI
Broncos
AAMI PARK, MELBOURNE • FRIDAY 20 MAR, 8:00 PM

Win Probability

AI Game Review

Broncos defied the model's 62% prediction for Storm, a notable upset. The margin model missed here, predicting 9.9 but the actual margin was 4 points. Broncos trailed 14–0 at half-time before staging a second-half comeback to win 14–18. The model went 1/4 on this match. The under 54.5 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 32 points was 14 points below Todd Smith's career average of 46. Broncos bucked the trend, Storm historically win 69% of games under Todd Smith, but couldn't convert that edge today.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Broncos firmly in control (99%)
STO14
1%80'99%
18BRO
HT100%50%0%0'20'40'60'80'
Broncos momentumMomentum -5Storm momentum →
Next Try (within 10 min)
AI Model
88% none
STO 7%No try 88%BRO 5%
Biggest Swings

AI Win Probability

62%StormFavourite

Storm

62%

Broncos

38%

AI Match Overview

Storm hold the advantage at 62% win probability, though Broncos are far from out of this at 38%. The model sees Storm ahead on 7 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Storm carry a 148-point ELO rating advantage (1658 vs 1511). Recent form favours Storm with 4 wins from their last 5 compared to 3 for Broncos. The margin model predicts Storm by 9.9 points with a combined total of 43.

Generated from model features • Pre-kick-off analysis

Edge Analysis

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

H2H Recommendation

Storm to Win @1.39

Lost ✗

Edge

-6.4%

Line / Spread

Storm -8.5 @1.91

Lost ✗

Edge

+0.0%

Margin Band

Storm 1-12 @2.55

Lost ✗

Edge

+0.0%

Total Points

Under 54.5 @1.91

Winner ✓

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Storm
R2025-R27L
R2025-R28W
R2025-R30W
R2026-R1W
R2026-R2W

older → newer

32.0
Broncos
R2025-R27W
R2025-R28W
R2025-R30W
R2026-R1L
R2026-R2L
21.4

Avg Conceded

17.2

Storm

24.4

Broncos

Avg Margin

14.8

Storm

-3.0

Broncos

Run Metres

1792

Storm

1619

Broncos

Line Breaks

7.0

Storm

3.2

Broncos

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%
Broncos
9W – 6L
60%

Storm hold a 9-point edge: 9W–4L (69%) vs Broncos's 9W–6L (60%). 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
Broncos
-0.5
H2H History (Last 5)Storm lead 3-2
Oct 2025MEL 22 - 26 BRI
Sep 2025MEL 14 - 30 BRI
Aug 2025MEL 22 - 2 BRI
Sep 2024MEL 50 - 12 BRI
Apr 2024MEL 34 - 32 BRI
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

MEL
1658Overall1511
BRI
ELO difference: +148 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1161Forwards1033
MEL +127
1184Backs974
MEL +210
1190Halves971
MEL +219
1119Hooker992
MEL +127

📈Recent Form (Last 5)

MEL
Stat
BRI
4.0
Wins (Last 5)
3.0
32.0pts
Avg Score
21.4pts
17.2pts
Avg Conceded
24.4pts
14.8pts
Avg Margin
-3.0pts
1791.6m
Run Metres
1619.4m
7.0
Line Breaks
3.2
319.4
Tackles
356.4
9.4
Errors
11.2

🔑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%
Storm
6
Referee Tendency7.0%
Storm
7
Venue Advantage7.0%
Storm

Model Confidence

62%

Storm predicted to win by 10 points

Predicted total: 43 · Line: +9.9

1/4 match predictions correct
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