NRL | Round 13

alphr.com.au

SYD
Roosters
VS
CAN
Raiders
ALLIANZ STADIUM, SYDNEY • SUNDAY 1 JUNE, 6:15 PM

Win Probability

AI Game Review

Raiders defied the model's 63% prediction for Roosters, a notable upset. The predicted margin of 3.3 was reasonable against the actual 2-point result. Total score prediction of 45 was close to the actual 50, within 5 points. Raiders trailed 12–4 at half-time before staging a second-half comeback to win 24–26. A tough result for the model, all 3 picks missed on this one.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Ashley Klein officiated this match (386 career games). The combined score of 50 points was 6 points above Ashley Klein's career average of 44. Raiders bucked the trend, Roosters historically win 60% of games under Ashley Klein, but couldn't convert that edge today. Despite Ashley Klein's 60% career home-team win rate, the away side Raiders prevailed.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Raiders firmly in control (99%)
ROO24
1%80'99%
26RAI
HT100%50%0%0'20'40'60'80'
Raiders momentumMomentum +25Roosters momentum →
Next Try (within 10 min)
AI Model
95% none
ROO 3%No try 95%RAI 2%
Biggest Swings

AI Win Probability

63%RoostersFavourite

Roosters

63%

Raiders

37%

AI Match Overview

Roosters hold the advantage at 63% win probability, though Raiders are far from out of this at 37%. The model sees Roosters ahead on 4 of 7 key factors including Backline Quality, Halves Control and Referee Tendency. Raiders carry a 55-point ELO rating advantage (1594 vs 1539). Recent form favours Raiders with 4 wins from their last 5 compared to 3 for Roosters. The margin model predicts Roosters by 3.3 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

Roosters to Win @1.90

Lost ✗

Edge

+0.2%

Line / Spread

Roosters +1.5 @1.91

Lost ✗

Edge

+0.2%

Total Points

Under 47.5 @1.91

Lost ✗

Edge

+5.5%

Form & History

TeamLast 5Avg Pts
Roosters
W
W
W
L
L
31.2
Raiders
W
W
W
W
L
27.2

Avg Conceded

24.8

Roosters

22.4

Raiders

Avg Margin

6.4

Roosters

4.8

Raiders

Run Metres

1706

Roosters

1703

Raiders

Line Breaks

6.2

Roosters

5.6

Raiders

Referee Indicator

Favours Roosters

Ashley Klein

386 career games · since 2010

AI Analysis

Win rate when Ashley Klein refs each team (vs any opponent)

Roosters
42W – 28L
60%
Raiders
24W – 28L
46%

Roosters hold a 14-point edge: 42W–28L (60%) vs Raiders's 24W–28L (46%). Home teams win 60% of his matches (vs ~52% league avg).

Avg Total

43.6 pts

Home Win %

60%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

8.9

Sin Bins / Gm

0.16

SB Away %

42%

Avg Penalties Per Game

vs Home Teams4.3
vs Away Teams4.6

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Roosters
-1.3
Raiders
-0.1

Ashley Klein averages just 8.9 penalties per game, well below average. He lets the game flow. Raiders get a +-0.1 penalty advantage under Ashley Klein vs Roosters's -1.3.

H2H History (Last 5)Raiders lead 3-2
Sep 2024SYD 12 - 14 CAN
May 2024SYD 44 - 16 CAN
Jul 2023SYD 18 - 20 CAN
Jun 2022SYD 16 - 22 CAN
Sep 2021SYD 40 - 16 CAN
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Raiders hold the ELO advantage (1594 vs 1539), but the market favours Roosters (@1.90).

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

📊Team ELO Ratings

SYD
1539Overall1594
CAN
ELO difference: -55 in favour of Raiders

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1085Forwards1098
Best: 1293CAN +14Best: 1309
1079Backs956
Best: 1192SYD +123Best: 1027
1145Halves829
Best: 1145SYD +315Best: 829
960Hooker1116
CAN +156

📈Recent Form (Last 5)

SYD
Stat
CAN
3.0
Wins (Last 5)
4.0
31.2pts
Avg Score
27.2pts
24.8pts
Avg Conceded
22.4pts
6.4pts
Avg Margin
4.8pts
1706.4m
Run Metres
1703.4m
6.2
Line Breaks
5.6
320.0
Tackles
342.6
13.0
Errors
9.6

🔑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%
Roosters
4
Halves Control9.0%
Roosters
5
Recent Win Rate9.0%
Raiders
6
Referee Tendency7.0%
Roosters
7
Venue Advantage7.0%
Roosters

Model Confidence

63%

Roosters predicted to win by 3 points

Predicted total: 45 · Line: +3.3

0/3 match predictions correct
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