NRL | Round 6

alphr.com.au

SGI
Dragons
VS
MAN
Sea Eagles
WIN STADIUM, WOLLONGONG • FRIDAY 10 APR, 6:00 PM

Win Probability

AI Game Review

Our model correctly predicted Sea Eagles to win at 59% probability. The predicted margin of 2.2 was reasonable against the actual 10-point result. Total score prediction of 46 was close to the actual 46, within 0 points. The model went 4/17 on this match. The under 49.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Adam Gee officiated this match (289 career games). The 46-point combined total was right in line with Adam Gee's career average of 43. Sea Eagles's victory aligns with Adam Gee's historical trend, Sea Eagles have a 41% win rate under this referee. Despite Adam Gee's 57% career home-team win rate, the away side Sea Eagles prevailed. Adam Gee averaged 13.7 penalties per game heading in, a whistle-heavy referee profile. 69% 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', Sea Eagles firmly in control (99%)
DRA18
1%80'99%
28SEA
HT100%50%0%0'20'40'60'80'
Sea Eagles momentumMomentum +5Dragons momentum →
Next Try (within 10 min)
AI Model
85% none
DRA 8%No try 85%SEA 7%
Biggest Swings

AI Win Probability

59%Sea EaglesFavourite

Dragons

41%

Sea Eagles

59%

AI Match Overview

Sea Eagles hold the advantage at 59% win probability, though Dragons are far from out of this at 41%. The model sees Sea Eagles ahead on 5 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Sea Eagles carry a 188-point ELO rating advantage (1459 vs 1271). Recent form favours Sea Eagles with 2 wins from their last 5 compared to 0 for Dragons. The margin model predicts Sea Eagles by 2.2 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

Sea Eagles to Win @1.41

Winner ✓

Edge

-8.7%

Line / Spread

Dragons +7.5 @1.91

Lost ✗

Edge

+0.0%

Margin Band

Sea Eagles 1-12 @2.55

Winner ✓

Edge

+0.0%

Total Points

Under 49.5 @1.91

Winner ✓

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Dragons
R2026-R1L
R2026-R2L
R2026-R3L
R2026-R4L
R2026-R5L

older → newer

13.6
Sea Eagles
R2025-R27W
R2026-R1L
R2026-R2L
R2026-R4L
R2026-R5W
27.8

Avg Conceded

29.0

Dragons

28.4

Sea Eagles

Avg Margin

-15.4

Dragons

-0.6

Sea Eagles

Run Metres

1744

Dragons

1668

Sea Eagles

Line Breaks

2.8

Dragons

4.8

Sea Eagles

Referee Indicator

Favours Sea Eagles

Adam Gee

289 career games · since 2012

AI Analysis

Win rate when Adam Gee refs each team (vs any opponent)

Dragons
10W – 23L
30%
Sea Eagles
15W – 22L
41%

Sea Eagles hold a 11-point edge: 15W–22L (41%) vs Dragons's 10W–23L (30%). Home teams win 57% of his matches (vs ~52% league avg).

Avg Total

42.7 pts

Home Win %

57%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

13.7

Sin Bins / Gm

0.24

SB Away %

69%

Avg Penalties Per Game

vs Home Teams6.3
vs Away Teams7.4

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Dragons
+1.0
Sea Eagles
-0.8

Adam Gee averages 13.7 penalties per game, above the league norm. Expect frequent stoppages. Penalises away teams more, 6.3 against home vs 7.4 against away. Dragons get a +1.0 penalty advantage under Adam Gee vs Sea Eagles's -0.8. 69% of his 36 career sin bins go to away teams.

H2H History (Last 5)Sea Eagles lead 3-2
Sep 2025SGI 24 - 40 MAN
Apr 2025SGI 20 - 18 MAN
Jun 2024SGI 14 - 30 MAN
Mar 2024SGI 20 - 12 MAN
Aug 2023SGI 18 - 24 MAN
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

SGI
1271Overall1459
MAN
ELO difference: -188 in favour of Sea Eagles

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

765Forwards986
MAN +222
808Backs923
MAN +115
797Halves983
MAN +185
791Hooker954
MAN +162

📈Recent Form (Last 5)

SGI
Stat
MAN
0.0
Wins (Last 5)
2.0
13.6pts
Avg Score
27.8pts
29.0pts
Avg Conceded
28.4pts
-15.4pts
Avg Margin
-0.6pts
1743.8m
Run Metres
1668.0m
2.8
Line Breaks
4.8
383.4
Tackles
322.0
9.8
Errors
11.4

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

59%

Sea Eagles predicted to win by 2 points

Predicted total: 46 · Line: -2.2

3/4 match predictions correct1/13 scorer picks correct
Scorer Markets

Anytime Try Scorer

Model probability vs Sportsbet overlay, ranked by edge.

8 Plays
Luke BrooksSea Eagles
halfFair 1.632+ 24%
$4.60
+39.4% edge
Model
61%
Market
22%
Confidence
61%
Emre GulerDragons
forwardFair 2.132+ 13%
$10.50
+37.5% edge
Model
47%
Market
10%
Confidence
47%
Ethan BullemorSea Eagles
benchFair 2.062+ 14%
$6.50
+33.2% edge
Model
49%
Market
15%
Confidence
49%
Corey WaddellSea Eagles
benchFair 2.082+ 14%
$6.25
+32.0% edge
Model
48%
Market
16%
Confidence
48%
Haumole Olakau'atuSea Eagles
forwardFair 1.332+ 40%
$2.02
+25.5% edge
Model
75%
Market
50%
Confidence
75%
Jacob LiddleDragons
benchFair 2.452+ 10%
$6.00
+24.1% edge
Model
41%
Market
17%
Confidence
41%
Tolutau KoulaSea Eagles
backFair 1.312+ 42%
$1.85
+22.0% edge
Model
76%
Market
54%
Confidence
76%
Kyle FlanaganDragons
halfFair 3.142+ 6%
$6.25
+15.9% edge
Model
32%
Market
16%
Confidence
32%
Scorer Markets

First Try Scorer

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

5 Plays
Emre GulerDragons
forwardFair 8.332+ 13%
$61.00
+10.4% edge
Model
12%
Market
2%
Confidence
12%
Jacob LiddleDragons
benchFair 10.112+ 10%
$61.00
+8.2% edge
Model
10%
Market
2%
Confidence
10%
Setu TuDragons
backFair 6.132+ 21%
$12.00
+8.0% edge
Model
16%
Market
8%
Confidence
16%
Ethan BullemorSea Eagles
benchFair 14.352+ 14%
$71.00
+5.6% edge
Model
7%
Market
1%
Confidence
7%
Corey WaddellSea Eagles
benchFair 14.602+ 14%
$61.00
+5.2% edge
Model
7%
Market
2%
Confidence
7%