NRL | Round 10

alphr.com.au

CAN
Raiders
VS
PEN
Panthers
GIO STADIUM, CANBERRA • SUNDAY 10 MAY, 4:05 PM

Win Probability

AI Game Review

Our model correctly predicted Panthers to win at 73% probability. The predicted margin of 4.2 was reasonable against the actual 12-point result. Total score prediction of 46 was close to the actual 48 — within 2 points. The model went 5/17 on this match. The under 50.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Ashley Klein officiated this match (384 career games). The combined score of 48 points was 4 points above Ashley Klein's career average of 44. Despite Ashley Klein's 60% career home-team win rate, the away side Panthers prevailed.

Based on referee career statistics • Post-match analysis

AI Win Probability

73%PanthersFavourite

Raiders

27%

Panthers

73%

AI Match Overview

Panthers are clear favourites here at 73%, with our model expecting a comfortable victory over Raiders. The model sees Panthers ahead on 5 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Panthers carry a 255-point ELO rating advantage (1712 vs 1456). Recent form favours Panthers with 4 wins from their last 5 compared to 3 for Raiders. The margin model predicts Panthers by 4.2 points with a combined total of 46.

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

Panthers to Win @1.30

Winner ✓

Edge

+0.2%

Line / Spread

Raiders +9.5 @1.91

Lost ✗

Edge

+0.0%

Margin Band

Panthers 1-12 @2.55

Winner ✓

Edge

+0.0%

Total Points

Under 50.5 @1.91

Winner ✓

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Raiders
R5L
R6W
R7W
R8L
R9W

older → newer

23.2
Panthers
R5W
R6L
R7W
R8W
R9W
30.2

Avg Conceded

26.6

Raiders

18.4

Panthers

Avg Margin

-3.4

Raiders

11.8

Panthers

Run Metres

1750

Raiders

1875

Panthers

Line Breaks

5.0

Raiders

6.8

Panthers

Referee Indicator

Balanced

Ashley Klein

384 career games · since 2012

AI Analysis

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

Raiders
24W – 27L
47%
Panthers
28W – 28L
50%

Both sides have a similar record under Ashley Klein — Raiders 24W–27L (47%) and Panthers 28W–28L (50%). Home teams win 60% of his matches (vs ~52% league avg).

Avg Total

43.5 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

Raiders
-0.1
Panthers
+0.0

Ashley Klein averages just 8.9 penalties per game — well below average. He lets the game flow.

H2H History (Last 5)Panthers lead 3-2
Sep 2025CAN 20 - 16 PEN
Sep 2024CAN 22 - 18 PEN
Apr 2023CAN 12 - 53 PEN
Aug 2022CAN 6 - 26 PEN
Apr 2022CAN 6 - 36 PEN
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

CAN
1456Overall1712
PEN
ELO difference: -255 in favour of Panthers

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

960Forwards1180
PEN +220
919Backs1251
PEN +332
925Halves1197
PEN +272
929Hooker1240
PEN +312

📈Recent Form (Last 5)

CAN
Stat
PEN
3.0
Wins (Last 5)
4.0
23.2pts
Avg Score
30.2pts
26.6pts
Avg Conceded
18.4pts
-3.4pts
Avg Margin
11.8pts
1750.0m
Run Metres
1875.4m
5.0
Line Breaks
6.8
365.0
Tackles
344.8
10.0
Errors
12.8

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

73%

Panthers predicted to win by 4 points

Predicted total: 46 · Line: -4.2

3/4 match predictions correct2/13 scorer picks correct
Scorer Markets

Anytime Try Scorer

Model probability vs Sportsbet overlay, ranked by edge.

8 Plays
Dylan EdwardsPanthers
backFair 1.312+ 42%
$1.87
+22.8% edge
Model
76%
Market
53%
Confidence
76%
Thomas JenkinsPanthers
backFair 1.162+ 59%
$1.43
+16.5% edge
Model
86%
Market
70%
Confidence
86%
Simi SasagiRaiders
forwardFair 2.552+ 9%
$3.10
+6.9% edge
Model
39%
Market
32%
Confidence
39%
Kaeo WeekesRaiders
backFair 2.192+ 12%
$2.50
+5.6% edge
Model
46%
Market
40%
Confidence
46%
Ethan StrangeRaiders
halfFair 2.972+ 6%
$3.15
+2.0% edge
Model
34%
Market
32%
Confidence
34%
Brian To'oPanthers
backFair 1.582+ 27%
$1.61
+1.2% edge
Model
63%
Market
62%
Confidence
63%
Savelio TamaleRaiders
backFair 2.422+ 10%
$2.25
-3.2% edge
Model
41%
Market
44%
Confidence
41%
Casey McLeanPanthers
backFair 2.302+ 11%
$2.03
-5.8% edge
Model
44%
Market
49%
Confidence
44%
Scorer Markets

First Try Scorer

Team-normalised first-try share using the current lineups and opposition defence profile.

5 Plays
Kaeo WeekesRaiders
backFair 5.442+ 12%
$14.00
+11.2% edge
Model
18%
Market
7%
Confidence
18%
Thomas JenkinsPanthers
backFair 4.102+ 59%
$6.50
+9.0% edge
Model
24%
Market
15%
Confidence
24%
Savelio TamaleRaiders
backFair 6.222+ 10%
$13.00
+8.4% edge
Model
16%
Market
8%
Confidence
16%
Simi SasagiRaiders
forwardFair 6.662+ 9%
$15.00
+8.3% edge
Model
15%
Market
7%
Confidence
15%
Dylan EdwardsPanthers
backFair 5.692+ 42%
$10.00
+7.6% edge
Model
18%
Market
10%
Confidence
18%