NRL | Round 24

alphr.com.au

WST
Wests Tigers
VS
MAN
Sea Eagles
ALLIANZ STADIUM, SYDNEY • SUNDAY 17 AUG, 2:00 PM

Win Probability

AI Game Review

Wests Tigers defied the model's 53% prediction for Sea Eagles, a notable result. The margin model missed here, predicting 1.7 but the actual margin was 14 points. Total score prediction of 43 was close to the actual 38, within 5 points. Wests Tigers led 12–6 at the break and pulled away in the second half to win by 14. The model went 1/3 on this match. The under 48.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Adam Gee officiated this match (295 career games). The combined score of 38 points was 5 points below Adam Gee's career average of 43. Wests Tigers's home victory fits Adam Gee's profile, home teams win 57% of the time under this referee. 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', Wests Tigers firmly in control (99%)
WES26
99%80'1%
12SEA
HT100%50%0%0'20'40'60'80'
Sea Eagles momentumMomentum -21Wests Tigers momentum →
Next Try (within 10 min)
AI Model
91% none
WES 4%No try 91%SEA 5%
Biggest Swings

AI Win Probability

53%Sea EaglesFavourite

Wests Tigers

47%

Sea Eagles

53%

AI Match Overview

This shapes up as one of the tightest matchups of the round. Our model gives Sea Eagles a marginal 53% edge, making this essentially a coin-flip contest. Wests Tigers are stronger on paper across 5 of 7 key factors, including Backline Quality, Halves Control and Recent Win Rate, but Sea Eagles counter with ELO Difference and Forward Pack which tips the scales. Sea Eagles carry a 49-point ELO rating advantage (1418 vs 1369). Recent form favours Wests Tigers with 3 wins from their last 5 compared to 2 for Sea Eagles. The margin model predicts Sea Eagles by 1.7 points with a combined total of 43.

Generated from model features • Pre-kick-off analysis

Edge Analysis

1 ACTIVE EDGE

Each market is predicted by an independent model, H2H, margin, and totals may occasionally disagree.

H2H Recommendation

Sea Eagles to Win @1.51

Lost ✗

Edge

-5.7%

Line / Spread

Sea Eagles +4.5 @1.91

Lost ✗

Edge

-5.7%

Total Points

Under 48.5 @1.91

Winner ✓

Edge

+14.8%

Form & History

TeamLast 5Avg Pts
Wests Tigers
W
W
W
L
L
19.0
Sea Eagles
W
W
L
L
L
13.6

Avg Conceded

26.4

Wests Tigers

23.6

Sea Eagles

Avg Margin

-7.4

Wests Tigers

-10.0

Sea Eagles

Run Metres

1504

Wests Tigers

1477

Sea Eagles

Line Breaks

3.8

Wests Tigers

3.4

Sea Eagles

Referee Indicator

Balanced

Adam Gee

295 career games · since 2013

AI Analysis

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

Wests Tigers
18W – 22L
45%
Sea Eagles
16W – 22L
42%

Both sides have a similar record under Adam Gee, Wests Tigers 18W–22L (45%) and Sea Eagles 16W–22L (42%). Home teams win 57% of his matches (vs ~52% league avg).

Avg Total

42.8 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

Wests Tigers
-0.4
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. Wests Tigers get a +-0.4 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 4-1
May 2026WST 18 - 46 MAN
Jul 2025WST 10 - 28 MAN
Sep 2024WST 34 - 26 MAN
Sep 2023WST 12 - 54 MAN
Apr 2023WST 16 - 22 MAN
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

WST
1369Overall1418
MAN
ELO difference: -49 in favour of Sea Eagles

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

905Forwards943
Best: 1246MAN +38Best: 1239
930Backs903
Best: 988WST +27Best: 1053
1211Halves974
Best: 1211WST +237Best: 974
1044Hooker1084
MAN +40

📈Recent Form (Last 5)

WST
Stat
MAN
3.0
Wins (Last 5)
2.0
19.0pts
Avg Score
13.6pts
26.4pts
Avg Conceded
23.6pts
-7.4pts
Avg Margin
-10.0pts
1504.2m
Run Metres
1476.8m
3.8
Line Breaks
3.4
329.8
Tackles
336.8
9.8
Errors
11.2

🔑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%
Tigers
4
Halves Control9.0%
Tigers
5
Recent Win Rate9.0%
Tigers
6
Referee Tendency7.0%
Tigers
7
Venue Advantage7.0%
Tigers

Model Confidence

53%

Sea Eagles predicted to win by 2 points

Predicted total: 43 · Line: -1.7

1/3 match predictions correct
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