NRL | Round 9

alphr.com.au

CRO
Sharks
VS
WST
Wests Tigers
OCEAN PROTECT STADIUM, SYDNEY • SUNDAY 3 MAY, 4:05 PM

AI Win Probability

57%SharksFavourite

Sharks

57%

Wests Tigers

43%

AI Match Overview

Sharks hold the advantage at 57% win probability, though Wests Tigers are far from out of this at 43%. Wests Tigers are stronger on paper across 5 of 7 key factors — including ELO Difference, Forward Pack and Backline Quality — but Sharks counter with Referee Tendency and Venue Advantage which tips the scales. Wests Tigers carry a 36-point ELO rating advantage (1533 vs 1497). Recent form favours Wests Tigers with 3 wins from their last 5 compared to 2 for Sharks. The margin model predicts Sharks by 7.0 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

Sharks to Win @1.52

Edge

-5.3%

Line / Spread

Wests Tigers +7.5 @1.91

Edge

+0.0%

Margin Band

Sharks 1-12 @2.55

Edge

+0.0%

Total Points

Under 52.5 @1.91

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Sharks
R3L
R4W
R5W
R6L
R8L

older → newer

21.6
Wests Tigers
R4W
R5W
R6W
R7L
R8W
26.4

Avg Conceded

28.4

Sharks

19.4

Wests Tigers

Avg Margin

-6.8

Sharks

7.0

Wests Tigers

Run Metres

1580

Sharks

1889

Wests Tigers

Line Breaks

4.8

Sharks

5.8

Wests Tigers

Referee Indicator

Favours Sharks

Todd Smith

102 career games · since 2012

AI Analysis

Win rate when Todd Smith refs each team (vs any opponent)

Sharks
9W – 5L
64%
Wests Tigers
1W – 6L
14%

When Todd Smith officiates, Sharks have won 9 of 14 games (64%) — significantly stronger than Wests Tigers's 1 from 7 (14%). Small sample (7 games for Wests Tigers).

Avg Total

46.0 pts

Home Win %

54%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

10.7

Sin Bins / Gm

0.49

SB Away %

50%

Avg Penalties Per Game

vs Home Teams5.3
vs Away Teams5.4

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Sharks
+0.6
Wests Tigers
-0.4

Sharks get a +0.6 penalty advantage under Todd Smith vs Wests Tigers's -0.4.

H2H History (Last 5)Sharks lead 3-2
Apr 2025CRO 18 - 20 WST
Jul 2024CRO 58 - 6 WST
Mar 2024CRO 6 - 32 WST
Jul 2023CRO 36 - 12 WST
Aug 2022CRO 36 - 12 WST
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Wests Tigers hold the ELO advantage (1533 vs 1497), but the market favours Sharks (@1.52).

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

📊Team ELO Ratings

CRO
1497Overall1533
WST
ELO difference: -36 in favour of Wests Tigers

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

999Forwards1001
Even
984Backs996
WST +11
992Halves993
Even
1025Hooker1008
CRO +17

📈Recent Form (Last 5)

CRO
Stat
WST
2.0
Wins (Last 5)
3.0
21.6pts
Avg Score
26.4pts
28.4pts
Avg Conceded
19.4pts
-6.8pts
Avg Margin
7.0pts
1580.4m
Run Metres
1889.4m
4.8
Line Breaks
5.8
300.0
Tackles
300.0
12.0
Errors
12.0

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

57%

Sharks predicted to win by 7 points

Predicted total: 46 · Line: +7.0

Scorer Markets

Anytime Try Scorer

Model probability vs Sportsbet overlay, ranked by edge.

8 Plays
Sunia TuruvaWests Tigers
backFair 1.532+ 29%
$2.08
+17.3% edge
Model
65%
Market
48%
Confidence
65%
Taylan MayWests Tigers
backFair 1.862+ 18%
$2.45
+13.0% edge
Model
54%
Market
41%
Confidence
54%
KL IroSharks
backFair 1.512+ 29%
$1.84
+11.7% edge
Model
66%
Market
54%
Confidence
66%
Luke LauliliiWests Tigers
backFair 1.782+ 20%
$1.85
+2.1% edge
Model
56%
Market
54%
Confidence
56%
William KennedySharks
backFair 2.202+ 12%
$2.30
+1.9% edge
Model
45%
Market
43%
Confidence
45%
Siosifa TalakaiSharks
backFair 2.452+ 10%
$2.15
-5.6% edge
Model
41%
Market
47%
Confidence
41%
Starford To'aWests Tigers
backFair 6.182+ 1%
$2.60
-22.3% edge
Model
16%
Market
38%
Confidence
16%
Jeral SkeltonWests Tigers
backFair 3.762+ 4%
$1.86
-27.2% edge
Model
27%
Market
54%
Confidence
27%
Scorer Markets

First Try Scorer

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

5 Plays
KL IroSharks
backFair 4.672+ 29%
$10.00
+11.4% edge
Model
21%
Market
10%
Confidence
21%
Sunia TuruvaWests Tigers
backFair 5.162+ 29%
$12.00
+11.1% edge
Model
19%
Market
8%
Confidence
19%
Taylan MayWests Tigers
backFair 7.072+ 18%
$14.00
+7.0% edge
Model
14%
Market
7%
Confidence
14%
Luke LauliliiWests Tigers
backFair 6.632+ 20%
$10.00
+5.1% edge
Model
15%
Market
10%
Confidence
15%
William KennedySharks
backFair 8.332+ 12%
$13.00
+4.3% edge
Model
12%
Market
8%
Confidence
12%