NRL | Round 6

alphr.com.au

PAR
Eels
VS
GLD
Titans
COMMBANK STADIUM, SYDNEY • SUNDAY 12 APR, 2:00 PM

Win Probability

AI Game Review

Titans defied the model's 52% prediction for Eels, a notable result. The margin model missed here, predicting 1.8 but the actual margin was 42 points. Titans led 6–18 at the break and pulled away in the second half to win by 42. The model went 4/17 on this match. The 1-12 margin band call landed.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Ziggy Przeklasa-Adamski officiated this match (73 career games). The combined score of 62 points was 21 points above Ziggy Przeklasa-Adamski's career average of 41. Titans bucked the trend, Eels historically win 50% of games under Ziggy Przeklasa-Adamski, but couldn't convert that edge today. 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', Titans firmly in control (99%)
EEL10
1%80'99%
52TIT
HT100%50%0%0'20'40'60'80'
Titans momentumMomentum -33Eels momentum →
Next Try (within 10 min)
AI Model
82% none
EEL 11%No try 82%TIT 7%
Biggest Swings

AI Win Probability

52%EelsFavourite

Eels

52%

Titans

48%

AI Match Overview

This shapes up as one of the tightest matchups of the round. Our model gives Eels a marginal 52% 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. Eels carry a 142-point ELO rating advantage (1452 vs 1310). Recent form favours Eels with 2 wins from their last 5 compared to 1 for Titans. The margin model predicts Eels by 1.8 points with a combined total of 47.

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 @1.67

Lost ✗

Edge

-4.5%

Line / Spread

Titans +3.5 @1.91

Winner ✓

Edge

+0.0%

Margin Band

Eels 1-12 @2.55

Lost ✗

Edge

+0.0%

Total Points

Under 51.5 @1.91

Lost ✗

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Eels
R2026-R1L
R2026-R2W
R2026-R3W
R2026-R4L
R2026-R5L

older → newer

22.8
Titans
R2026-R1L
R2026-R2L
R2026-R3L
R2026-R4W
R2026-R5L
14.8

Avg Conceded

34.8

Eels

27.6

Titans

Avg Margin

-12.0

Eels

-12.8

Titans

Run Metres

1545

Eels

1550

Titans

Line Breaks

4.0

Eels

3.2

Titans

Referee Indicator

Favours Eels

Ziggy Przeklasa-Adamski

73 career games · since 2012

AI Analysis

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

Eels
3W – 3L
50%
Titans
2W – 9L
18%

When Ziggy Przeklasa-Adamski officiates, Eels have won 3 of 6 games (50%), significantly stronger than Titans's 2 from 11 (18%). Small sample (6 games for Eels).

Avg Total

41.4 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

Eels
+3.6
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. Eels get a +3.6 penalty advantage under Ziggy Przeklasa-Adamski vs Titans's +0.0. 70% of his 37 career sin bins go to away teams.

H2H History (Last 5)Eels lead 3-2
Jun 2025PAR 36 - 20 GLD
Jul 2024PAR 16 - 24 GLD
Jul 2023PAR 25 - 24 GLD
May 2023PAR 24 - 26 GLD
Apr 2022PAR 26 - 20 GLD
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

PAR
1452Overall1310
GLD
ELO difference: +142 in favour of Eels

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

955Forwards786
PAR +168
967Backs800
PAR +167
989Halves806
PAR +183
947Hooker788
PAR +159

📈Recent Form (Last 5)

PAR
Stat
GLD
2.0
Wins (Last 5)
1.0
22.8pts
Avg Score
14.8pts
34.8pts
Avg Conceded
27.6pts
-12.0pts
Avg Margin
-12.8pts
1545.4m
Run Metres
1549.8m
4.0
Line Breaks
3.2
350.4
Tackles
347.2
11.4
Errors
12.2

🔑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

52%

Eels predicted to win by 2 points

Predicted total: 47 · Line: +1.8

1/4 match predictions correct3/13 scorer picks correct
Scorer Markets

Anytime Try Scorer

Model probability vs Sportsbet overlay, ranked by edge.

8 Plays
Mitchell MosesEels
halfFair 1.312+ 43%
$3.45
+47.6% edge
Model
77%
Market
29%
Confidence
77%
Brian KellyEels
backFair 1.532+ 29%
$2.55
+26.3% edge
Model
66%
Market
39%
Confidence
66%
Josh Addo-CarrEels
backFair 1.162+ 59%
$1.53
+21.1% edge
Model
86%
Market
65%
Confidence
86%
Beau FermorTitans
forwardFair 2.012+ 15%
$3.20
+18.6% edge
Model
50%
Market
31%
Confidence
50%
Sialetili FaeamaniTitans
backFair 1.592+ 26%
$2.12
+15.8% edge
Model
63%
Market
47%
Confidence
63%
Junior PauloEels
forwardFair 3.552+ 4%
$8.00
+15.6% edge
Model
28%
Market
13%
Confidence
28%
Tallyn Da SilvaEels
benchFair 3.172+ 6%
$5.30
+12.7% edge
Model
32%
Market
19%
Confidence
32%
Phillip SamiTitans
backFair 1.532+ 28%
$1.87
+11.7% edge
Model
65%
Market
53%
Confidence
65%
Scorer Markets

First Try Scorer

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

5 Plays
Mitchell MosesEels
halfFair 5.252+ 43%
$19.00
+13.8% edge
Model
19%
Market
5%
Confidence
19%
Josh Addo-CarrEels
backFair 3.812+ 59%
$8.00
+13.7% edge
Model
26%
Market
13%
Confidence
26%
Sialetili FaeamaniTitans
backFair 5.742+ 26%
$12.00
+9.1% edge
Model
17%
Market
8%
Confidence
17%
Phillip SamiTitans
backFair 5.402+ 28%
$10.00
+8.5% edge
Model
19%
Market
10%
Confidence
19%
Brian KellyEels
backFair 7.162+ 29%
$14.00
+6.8% edge
Model
14%
Market
7%
Confidence
14%