NRL | Round 23

alphr.com.au

SGI
Dragons
VS
CRO
Sharks
JUBILEE STADIUM, SYDNEY • SATURDAY 9 AUG, 3:00 PM

Win Probability

AI Game Review

Dragons defied the model's 60% prediction for Sharks, a notable upset. The margin model missed here, predicting 5.3 but the actual margin was 8 points. 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 36 points was 8 points below Ashley Klein's career average of 44. Dragons's home victory fits Ashley Klein's profile, home teams win 60% of the time under this referee.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Dragons firmly in control (99%)
DRA22
99%80'1%
14SHA
HT100%50%0%0'20'40'60'80'
Sharks momentumMomentum +18Dragons momentum →
Next Try (within 10 min)
AI Model
15%
80% none
DRA 15%No try 80%SHA 5%
Biggest Swings

AI Win Probability

60%SharksFavourite

Dragons

40%

Sharks

60%

AI Match Overview

Sharks hold the advantage at 60% win probability, though Dragons are far from out of this at 40%. The model sees Sharks ahead on 4 of 7 key factors including ELO Difference, Backline Quality and Halves Control. Sharks carry a 189-point ELO rating advantage (1574 vs 1385). Recent form favours Sharks with 4 wins from their last 5 compared to 1 for Dragons. The margin model predicts Sharks by 5.3 points with a combined total of 47.

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

Sharks to Win @1.50

Lost ✗

Edge

-9.5%

Line / Spread

Sharks +5.5 @1.91

Lost ✗

Edge

-9.5%

Total Points

Over 45.5 @1.91

Lost ✗

Edge

+3.0%

Form & History

TeamLast 5Avg Pts
Dragons
W
L
L
L
L
23.2
Sharks
W
W
W
W
L
21.4

Avg Conceded

25.8

Dragons

16.8

Sharks

Avg Margin

-2.6

Dragons

4.6

Sharks

Run Metres

1697

Dragons

1735

Sharks

Line Breaks

4.2

Dragons

4.4

Sharks

Referee Indicator

Balanced

Ashley Klein

386 career games · since 2010

AI Analysis

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

Dragons
18W – 22L
45%
Sharks
25W – 32L
44%

Both sides have a similar record under Ashley Klein, Dragons 18W–22L (45%) and Sharks 25W–32L (44%). 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

Dragons
+0.7
Sharks
+0.7

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

H2H History (Last 5)Sharks lead 5-0
Jun 2025SGI 18 - 30 CRO
Sep 2024SGI 10 - 38 CRO
May 2024SGI 10 - 20 CRO
Jul 2023SGI 16 - 52 CRO
Mar 2023SGI 8 - 40 CRO
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

SGI
1385Overall1574
CRO
ELO difference: -189 in favour of Sharks

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1061Forwards924
Best: 1287SGI +137Best: 1267
943Backs1073
Best: 987CRO +130Best: 1158
1048Halves1091
Best: 1048CRO +43Best: 1091
1200Hooker1155
SGI +45

📈Recent Form (Last 5)

SGI
Stat
CRO
1.0
Wins (Last 5)
4.0
23.2pts
Avg Score
21.4pts
25.8pts
Avg Conceded
16.8pts
-2.6pts
Avg Margin
4.6pts
1696.8m
Run Metres
1735.2m
4.2
Line Breaks
4.4
325.6
Tackles
345.2
8.8
Errors
11.4

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

60%

Sharks predicted to win by 5 points

Predicted total: 47 · Line: -5.3

0/3 match predictions correct
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