NRL | Round 6

alphr.com.au

SOU
Rabbitohs
VS
NQL
Cowboys
OPTUS STADIUM, PERTH • SATURDAY 12 APR, 5:30 PM

Win Probability

AI Game Review

Our model correctly predicted Cowboys to win at 54% probability. The margin model was sharp, predicting Cowboys by 4.1 vs the actual margin of 8 points. Total score prediction of 40 was close to the actual 40, within 0 points. A clean sweep, all 3 model picks hit for this match.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Todd Smith officiated this match (105 career games). The combined score of 40 points was 6 points below Todd Smith's career average of 46. Cowboys's victory aligns with Todd Smith's historical trend, Cowboys have a 50% win rate under this referee.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Cowboys firmly in control (99%)
RAB16
1%80'99%
24COW
HT100%50%0%0'20'40'60'80'
Cowboys momentumMomentum -17Rabbitohs momentum →
Next Try (within 10 min)
AI Model
83% none
12%
RAB 5%No try 83%COW 12%
Biggest Swings

AI Win Probability

54%CowboysFavourite

Rabbitohs

46%

Cowboys

54%

AI Match Overview

Cowboys hold the advantage at 54% win probability, though Rabbitohs are far from out of this at 46%. The model sees Cowboys ahead on 4 of 7 key factors including ELO Difference, Backline Quality and Halves Control. Cowboys carry a 31-point ELO rating advantage (1504 vs 1474). Recent form favours Rabbitohs with 4 wins from their last 5 compared to 2 for Cowboys. The margin model predicts Cowboys by 4.1 points with a combined total of 40.

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

Cowboys to Win @1.85

Winner ✓

Edge

-1.5%

Line / Spread

Cowboys +1.5 @1.91

Winner ✓

Edge

-1.5%

Total Points

Under 49.5 @1.91

Winner ✓

Edge

+25.0%

Form & History

TeamLast 5Avg Pts
Rabbitohs
W
W
W
W
L
20.2
Cowboys
W
W
L
L
L
18.4

Avg Conceded

19.4

Rabbitohs

28.4

Cowboys

Avg Margin

0.8

Rabbitohs

-10.0

Cowboys

Run Metres

1602

Rabbitohs

1611

Cowboys

Line Breaks

3.8

Rabbitohs

4.0

Cowboys

Referee Indicator

Favours Cowboys

Todd Smith

105 career games · since 2019

AI Analysis

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

Rabbitohs
5W – 7L
42%
Cowboys
7W – 7L
50%

Cowboys hold a 8-point edge: 7W–7L (50%) vs Rabbitohs's 5W–7L (42%). 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

Rabbitohs
-0.8
Cowboys
+0.1

Cowboys get a +0.1 penalty advantage under Todd Smith vs Rabbitohs's -0.8.

H2H History (Last 5)Rabbitohs lead 3-2
May 2024SOU 22 - 28 NQL
Jul 2023SOU 6 - 31 NQL
Aug 2022SOU 20 - 10 NQL
Jul 2021SOU 46 - 18 NQL
Jun 2020SOU 31 - 30 NQL
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

SOU
1474Overall1504
NQL
ELO difference: -31 in favour of Cowboys

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1114Forwards1108
Best: 1255EvenBest: 1219
969Backs1083
Best: 1119NQL +115Best: 1200
1144Halves1236
Best: 1144NQL +92Best: 1236
853Hooker1015
NQL +162

📈Recent Form (Last 5)

SOU
Stat
NQL
4.0
Wins (Last 5)
2.0
20.2pts
Avg Score
18.4pts
19.4pts
Avg Conceded
28.4pts
0.8pts
Avg Margin
-10.0pts
1602.0m
Run Metres
1610.8m
3.8
Line Breaks
4.0
332.6
Tackles
361.6
9.0
Errors
11.2

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

54%

Cowboys predicted to win by 4 points

Predicted total: 40 · Line: -4.1

3/3 match predictions correct
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