NRL | Round 1

alphr.com.au

CRO
Sharks
VS
GLD
Titans
OCEAN PROTECT STADIUM, SYDNEY • SATURDAY 7 MAR, 5:30 PM

Win Probability

AI Game Review

Our model correctly predicted Sharks to win at 80% probability. The margin model missed here, predicting 8.5 but the actual margin was 40 points. The model went 1/4 on this match.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Ziggy Przeklasa-Adamski officiated this match (75 career games). The combined score of 60 points was 18 points above Ziggy Przeklasa-Adamski's career average of 42. Sharks's victory aligns with Ziggy Przeklasa-Adamski's historical trend, Sharks have a 62% win rate under this referee. Ziggy Przeklasa-Adamski averaged 13.5 penalties per game heading in, a whistle-heavy referee profile. 70% 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', Sharks firmly in control (99%)
SHA50
99%80'1%
10TIT
HT100%50%0%0'20'40'60'80'
Titans momentumMomentum +25Sharks momentum →
Next Try (within 10 min)
AI Model
85% none
SHA 10%No try 85%TIT 5%
Biggest Swings

AI Win Probability

80%SharksFavourite

Sharks

80%

Titans

20%

AI Match Overview

Sharks are clear favourites here at 80%, with our model expecting a comfortable victory over Titans. The model sees Sharks ahead on 7 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Sharks carry a 133-point ELO rating advantage (1548 vs 1415). Recent form favours Sharks with 4 wins from their last 5 compared to 1 for Titans. The margin model predicts Sharks by 8.5 points with a combined total of 48.

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 @1.26

Winner ✓

Edge

+4.1%

Line / Spread

Titans +11.5 @1.91

Lost ✗

Edge

+0.0%

Margin Band

Sharks 1-12 @2.55

Lost ✗

Edge

+0.0%

Total Points

Under 48.5 @1.91

Lost ✗

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Sharks
R2025-R26W
R2025-R27W
R2025-R28W
R2025-R29W
R2025-R30L

older → newer

26.0
Titans
R2025-R23L
R2025-R24L
R2025-R25L
R2025-R26L
R2025-R27W
24.8

Avg Conceded

13.2

Sharks

34.0

Titans

Avg Margin

12.8

Sharks

-9.2

Titans

Run Metres

1617

Sharks

1635

Titans

Line Breaks

4.2

Sharks

5.2

Titans

Referee Indicator

Favours Sharks

Ziggy Przeklasa-Adamski

75 career games · since 2017

AI Analysis

Win rate when Ziggy Przeklasa-Adamski refs each team (vs any opponent)

Sharks
8W – 5L
62%
Titans
3W – 9L
25%

When Ziggy Przeklasa-Adamski officiates, Sharks have won 8 of 13 games (62%), significantly stronger than Titans's 3 from 12 (25%).

Avg Total

41.7 pts

Home Win %

45%

Home Bias

Leans away

Penalty & Discipline

Pen / Game

13.5

Sin Bins / Gm

0.49

SB Away %

70%

Avg Penalties Per Game

vs Home Teams6.4
vs Away Teams7.1

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Sharks
+0.1
Titans
+0.0

Ziggy Przeklasa-Adamski averages 13.5 penalties per game, above the league norm. Expect frequent stoppages. Penalises away teams more, 6.4 against home vs 7.1 against away. 70% of his 37 career sin bins go to away teams.

H2H History (Last 5)Sharks lead 4-1
Aug 2025CRO 54 - 22 GLD
Aug 2024CRO 44 - 0 GLD
Jul 2024CRO 16 - 20 GLD
Aug 2023CRO 36 - 6 GLD
Jun 2022CRO 18 - 10 GLD
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

CRO
1548Overall1415
GLD
ELO difference: +133 in favour of Sharks

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

1080Forwards927
CRO +154
1065Backs915
CRO +151
1065Halves903
CRO +162
1029Hooker881
CRO +148

📈Recent Form (Last 5)

CRO
Stat
GLD
4.0
Wins (Last 5)
1.0
26.0pts
Avg Score
24.8pts
13.2pts
Avg Conceded
34.0pts
12.8pts
Avg Margin
-9.2pts
1617.2m
Run Metres
1634.6m
4.2
Line Breaks
5.2
354.0
Tackles
338.0
9.6
Errors
13.2

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

80%

Sharks predicted to win by 9 points

Predicted total: 48 · Line: +8.5

1/4 match predictions correct
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