NRL | Round 11

alphr.com.au

PAR
Eels
VS
MEL
Storm
SUNCORP STADIUM, BRISBANE • SATURDAY 16 MAY, 7:45 PM

AI Win Probability

61%StormFavourite

Eels

39%

Storm

61%

AI Match Overview

Storm hold the advantage at 61% win probability, though Eels are far from out of this at 39%. The model sees Storm ahead on 4 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Storm carry a 31-point ELO rating advantage (1439 vs 1408). Recent form favours Eels with 1 wins from their last 5 compared to 0 for Storm. The margin model predicts Storm by 5.9 points with a combined total of 48.

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

Storm to Win @1.37

Edge

-8.6%

Line / Spread

Eels +8.5 @1.91

Edge

+0.0%

Margin Band

Storm 1-12 @2.55

Edge

+0.0%

Total Points

Under 54.5 @1.91

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Eels
W
L
L
L
L
20.0
Storm
L
L
L
L
L
12.4

Avg Conceded

32.6

Eels

38.0

Storm

Avg Margin

-12.6

Eels

-25.6

Storm

Run Metres

1515

Eels

1371

Storm

Line Breaks

3.8

Eels

2.8

Storm

Referee Indicator

Favours Storm

Peter Gough

182 career games · since 2012

AI Analysis

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

Eels
10W – 19L
34%
Storm
12W – 5L
71%

When Peter Gough officiates, Storm have won 12 of 17 games (71%) — significantly stronger than Eels's 10 from 29 (34%).

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
Storm
+0.2

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.

H2H History (Last 5)Storm lead 5-0
Mar 2026PAR 4 - 52 MEL
Aug 2025PAR 10 - 16 MEL
Mar 2025PAR 18 - 56 MEL
Aug 2024PAR 14 - 32 MEL
May 2024PAR 16 - 48 MEL
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

PAR
1408Overall1439
MEL
ELO difference: -31 in favour of Storm

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

895Forwards956
MEL +61
925Backs925
Even
914Halves939
MEL +25
931Hooker913
PAR +17

📈Recent Form (Last 5)

PAR
Stat
MEL
1.0
Wins (Last 5)
0.0
20.0pts
Avg Score
12.4pts
32.6pts
Avg Conceded
38.0pts
-12.6pts
Avg Margin
-25.6pts
1514.8m
Run Metres
1371.2m
3.8
Line Breaks
2.8
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%
Storm
2
Forward Pack12.0%
Storm
3
Backline Quality10.0%
Storm
4
Halves Control9.0%
Storm
5
Recent Win Rate9.0%
Eels
6
Referee Tendency7.0%
Eels
7
Venue Advantage7.0%
Eels

Model Confidence

61%

Storm predicted to win by 6 points

Predicted total: 48 · Line: -5.9

Scorer Markets

Anytime Try Scorer

Model probability vs Sportsbet overlay, ranked by edge.

8 Plays
Josh Addo-CarrEels
backFair 1.292+ 44%
$1.52
+11.4% edge
Model
77%
Market
66%
Confidence
77%
Jordan SamraniEels
backFair 2.512+ 9%
$3.15
+8.1% edge
Model
40%
Market
32%
Confidence
40%
Joash PapaliiEels
backFair 2.562+ 9%
$3.05
+6.2% edge
Model
39%
Market
33%
Confidence
39%
Will WarbrickStorm
backFair 1.402+ 35%
$1.51
+5.0% edge
Model
71%
Market
66%
Confidence
71%
Nick MeaneyStorm
backFair 2.372+ 10%
$2.55
+2.9% edge
Model
42%
Market
39%
Confidence
42%
Brian KellyEels
backFair 1.922+ 17%
$2.02
+2.6% edge
Model
52%
Market
50%
Confidence
52%
Sean RussellEels
backFair 2.782+ 7%
$2.85
+0.8% edge
Model
36%
Market
35%
Confidence
36%
Moses LeoStorm
backFair 2.062+ 14%
$1.85
-5.5% edge
Model
49%
Market
54%
Confidence
49%
Scorer Markets

First Try Scorer

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

5 Plays
Josh Addo-CarrEels
backFair 4.492+ 44%
$8.50
+10.5% edge
Model
22%
Market
12%
Confidence
22%
Will WarbrickStorm
backFair 6.162+ 35%
$8.00
+3.7% edge
Model
16%
Market
13%
Confidence
16%
Brian KellyEels
backFair 9.012+ 17%
$12.00
+2.8% edge
Model
11%
Market
8%
Confidence
11%
Jordan SamraniEels
backFair 13.052+ 9%
$17.00
+1.8% edge
Model
8%
Market
6%
Confidence
8%
Joash PapaliiEels
backFair 13.442+ 9%
$15.00
+0.8% edge
Model
7%
Market
7%
Confidence
7%