NRL | Round 9

alphr.com.au

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

Win Probability

AI Game Review

Our model correctly predicted Sharks to win at 57% probability. The margin model missed here — predicting 7.0 but the actual margin was 42 points. The game's 62 points came in 16 points higher than the predicted 46. Sharks led 18–10 at the break and pulled away in the second half to win by 42. The model went 3/17 on this match.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Todd Smith officiated this match (102 career games). The combined score of 62 points was 16 points above Todd Smith's career average of 46. Sharks's victory aligns with Todd Smith's historical trend — Sharks have a 64% win rate under this referee.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80' — Sharks firmly in control (99%)
SHA52
99%80'1%
10WES
HT100%50%0%0'20'40'60'80'
Wests Tigers momentumMomentum +25Sharks momentum →
Biggest Swings

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

Winner ✓

Edge

-5.3%

Line / Spread

Wests Tigers +7.5 @1.91

Lost ✗

Edge

+0.0%

Margin Band

Sharks 1-12 @2.55

Lost ✗

Edge

+0.0%

Total Points

Under 52.5 @1.91

Lost ✗

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
+0.5
Wests Tigers
-0.4

Sharks get a +0.5 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

1/4 match predictions correct2/13 scorer picks correct
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%