NRL | Round 5

alphr.com.au

PAR
Eels
VS
WST
Wests Tigers
COMMBANK STADIUM, SYDNEY • MONDAY 6 APR, 4:05 PM

Win Probability

AI Game Review

Wests Tigers defied the model's 53% prediction for Eels, a notable result. The margin model was sharp, predicting Wests Tigers by 0.9 vs the actual margin of 2 points. Total score prediction of 45 was close to the actual 42, within 3 points. The model went 5/16 on this match. The 1-12 margin band call landed. The under 49.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Peter Gough officiated this match (177 career games). The 42-point combined total was right in line with Peter Gough's career average of 44. Peter Gough averaged 13.1 penalties per game heading in, a whistle-heavy referee profile.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
85', Wests Tigers firmly in control (99%)
EEL20
1%85'99%
22WES
HT100%50%0%0'20'40'60'80'
Wests Tigers momentumMomentum -0Eels momentum →
Next Try (within 10 min)
AI Model
94% none
EEL 3%No try 94%WES 3%
Biggest Swings

AI Win Probability

53%EelsFavourite

Eels

53%

Wests Tigers

47%

AI Match Overview

This shapes up as one of the tightest matchups of the round. Our model gives Eels a marginal 53% edge, making this essentially a coin-flip contest. The model sees Eels ahead on 7 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Recent form favours Eels with 3 wins from their last 5 compared to 2 for Wests Tigers.

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

Eels to Win @1.83

Lost ✗

Edge

+0.4%

Line / Spread

Wests Tigers +1.5 @1.91

Winner ✓

Edge

+0.0%

Margin Band

Wests Tigers 1-12 @2.55

Winner ✓

Edge

+0.0%

Total Points

Under 49.5 @1.91

Winner ✓

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Eels
R2025-R27W
R2026-R1L
R2026-R2W
R2026-R3W
R2026-R4L

older → newer

32.0
Wests Tigers
R2025-R26L
R2025-R27L
R2026-R2W
R2026-R3L
R2026-R4W
26.0

Avg Conceded

32.4

Eels

22.0

Wests Tigers

Avg Margin

-0.4

Eels

4.0

Wests Tigers

Run Metres

1629

Eels

1660

Wests Tigers

Line Breaks

5.2

Eels

4.6

Wests Tigers

Referee Indicator

Balanced

Peter Gough

177 career games · since 2012

AI Analysis

Win rate when Peter Gough refs each team (vs any opponent)

Eels
10W – 17L
37%
Wests Tigers
8W – 16L
33%

Both sides have a similar record under Peter Gough, Eels 10W–17L (37%) and Wests Tigers 8W–16L (33%).

Avg Total

44.2 pts

Home Win %

53%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

13.1

Sin Bins / Gm

0.43

SB Away %

60%

Avg Penalties Per Game

vs Home Teams6.1
vs Away Teams7

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Eels
-0.3
Wests Tigers
+1.0

Peter Gough averages 13.1 penalties per game, above the league norm. Expect frequent stoppages. Penalises away teams more, 6.1 against home vs 7 against away. Wests Tigers get a +1.0 penalty advantage under Peter Gough vs Eels's -0.3.

H2H History (Last 5)Eels lead 3-2
Apr 2025PAR 38 - 22 WST
Mar 2025PAR 6 - 32 WST
Sep 2024PAR 60 - 26 WST
Mar 2024PAR 16 - 17 WST
Apr 2023PAR 28 - 22 WST
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

PAR
1475Overall1467
WST
ELO difference: +8 in favour of Eels

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

984Forwards970
PAR +13
984Backs976
Even
958Halves940
PAR +19
993Hooker972
PAR +20

📈Recent Form (Last 5)

PAR
Stat
WST
3.0
Wins (Last 5)
2.0
32.0pts
Avg Score
26.0pts
32.4pts
Avg Conceded
22.0pts
-0.4pts
Avg Margin
4.0pts
1628.6m
Run Metres
1659.6m
5.2
Line Breaks
4.6
323.2
Tackles
323.2
10.8
Errors
11.6

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

53%

Eels predicted to win by 1 points

Predicted total: 45 · Line: -0.9

3/4 match predictions correct2/12 scorer picks correct
Scorer Markets

Anytime Try Scorer

Model probability vs Sportsbet overlay, ranked by edge.

7 Plays
Brian KellyEels
backFair 1.882+ 18%
$2.90
+18.8% edge
Model
53%
Market
34%
Confidence
53%
Josh Addo-CarrEels
backFair 1.252+ 48%
$1.51
+14.0% edge
Model
80%
Market
66%
Confidence
80%
Jahream BulaWests Tigers
backFair 1.882+ 18%
$2.18
+7.2% edge
Model
53%
Market
46%
Confidence
53%
Sean RussellEels
backFair 2.772+ 7%
$2.45
-4.7% edge
Model
36%
Market
41%
Confidence
36%
Luke LauliliiWests Tigers
backFair 2.652+ 8%
$1.97
-13.0% edge
Model
38%
Market
51%
Confidence
38%
Sunia TuruvaWests Tigers
backFair 4.332+ 3%
$2.55
-16.1% edge
Model
23%
Market
39%
Confidence
23%
Bailey SimonssonEels
backFair 3.832+ 4%
$1.85
-28.0% edge
Model
26%
Market
54%
Confidence
26%
Scorer Markets

First Try Scorer

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

5 Plays
Josh Addo-CarrEels
backFair 3.422+ 48%
$7.00
+14.9% edge
Model
29%
Market
14%
Confidence
29%
Brian KellyEels
backFair 7.282+ 18%
$14.00
+6.6% edge
Model
14%
Market
7%
Confidence
14%
Heamasi MakasiniWests Tigers
backFair 7.452+ 19%
$13.00
+5.7% edge
Model
13%
Market
8%
Confidence
13%
Jahream BulaWests Tigers
backFair 7.812+ 18%
$11.00
+3.7% edge
Model
13%
Market
9%
Confidence
13%
Sean RussellEels
backFair 12.382+ 7%
$13.00
+0.4% edge
Model
8%
Market
8%
Confidence
8%