NRL | Round 4

alphr.com.au

NQL
Cowboys
VS
CAN
Raiders
QUEENSLAND COUNTRY BANK STADIUM, TOWNSVILLE • SATURDAY 29 MAR, 5:30 PM

Win Probability

AI Game Review

Our model correctly predicted Cowboys to win at 53% probability. The predicted margin of 1.2 was reasonable against the actual 10-point result. 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

Adam Gee officiated this match (295 career games). The combined score of 50 points was 7 points above Adam Gee's career average of 43. Cowboys's home victory fits Adam Gee's profile, home teams win 57% of the time under this referee. Adam Gee averaged 13.7 penalties per game heading in, a whistle-heavy referee profile. 69% of his career sin bins go against away teams, a statistically significant away-team bias.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Cowboys firmly in control (99%)
COW30
99%80'1%
20RAI
HT100%50%0%0'20'40'60'80'
Raiders momentumMomentum +6Cowboys momentum →
Next Try (within 10 min)
AI Model
84% none
COW 9%No try 84%RAI 7%
Biggest Swings

AI Win Probability

53%CowboysFavourite

Cowboys

53%

Raiders

47%

AI Match Overview

This shapes up as one of the tightest matchups of the round. Our model gives Cowboys a marginal 53% edge, making this essentially a coin-flip contest. Raiders are stronger on paper across 4 of 7 key factors, including ELO Difference, Forward Pack and Backline Quality, but Cowboys counter with Halves Control and Referee Tendency which tips the scales. Raiders carry a 36-point ELO rating advantage (1482 vs 1446). Recent form favours Raiders with 4 wins from their last 5 compared to 1 for Cowboys. The margin model predicts Cowboys by 1.2 points with a combined total of 42.

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 @1.89

Winner ✓

Edge

+0.1%

Line / Spread

Cowboys -1.5 @1.91

Winner ✓

Edge

+0.1%

Total Points

Under 45.5 @1.91

Lost ✗

Edge

+10.1%

Form & History

TeamLast 5Avg Pts
Cowboys
W
L
L
L
L
17.2
Raiders
W
W
W
W
L
22.8

Avg Conceded

29.2

Cowboys

21.2

Raiders

Avg Margin

-12.0

Cowboys

1.6

Raiders

Run Metres

1707

Cowboys

1582

Raiders

Line Breaks

3.6

Cowboys

4.4

Raiders

Referee Indicator

Balanced

Adam Gee

295 career games · since 2013

AI Analysis

Win rate when Adam Gee refs each team (vs any opponent)

Cowboys
21W – 19L
53%
Raiders
22W – 20L
52%

Both sides have a similar record under Adam Gee, Cowboys 21W–19L (53%) and Raiders 22W–20L (52%). Home teams win 57% of his matches (vs ~52% league avg).

Avg Total

42.8 pts

Home Win %

57%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

13.7

Sin Bins / Gm

0.24

SB Away %

69%

Avg Penalties Per Game

vs Home Teams6.3
vs Away Teams7.4

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Cowboys
+0.9
Raiders
-0.8

Adam Gee averages 13.7 penalties per game, above the league norm. Expect frequent stoppages. Penalises away teams more, 6.3 against home vs 7.4 against away. Cowboys get a +0.9 penalty advantage under Adam Gee vs Raiders's -0.8. 69% of his 36 career sin bins go to away teams.

H2H History (Last 5)Cowboys lead 5-0
Aug 2024NQL 42 - 4 CAN
Jun 2024NQL 34 - 16 CAN
Mar 2023NQL 19 - 18 CAN
Apr 2022NQL 18 - 12 CAN
Mar 2022NQL 26 - 6 CAN
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Raiders hold the ELO advantage (1482 vs 1446), but the market favours Cowboys (@1.89).

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

📊Team ELO Ratings

NQL
1446Overall1482
CAN
ELO difference: -36 in favour of Raiders

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1052Forwards1160
Best: 1240CAN +108Best: 1276
910Backs917
Best: 1086EvenBest: 965
1018Halves940
Best: 1018NQL +78Best: 940
888Hooker1200
CAN +312

📈Recent Form (Last 5)

NQL
Stat
CAN
1.0
Wins (Last 5)
4.0
17.2pts
Avg Score
22.8pts
29.2pts
Avg Conceded
21.2pts
-12.0pts
Avg Margin
1.6pts
1706.8m
Run Metres
1582.4m
3.6
Line Breaks
4.4
362.8
Tackles
387.6
10.8
Errors
11.4

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

53%

Cowboys predicted to win by 1 points

Predicted total: 42 · Line: +1.2

2/3 match predictions correct
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