NRL | Round 3

alphr.com.au

DOL
Dolphins
VS
WST
Wests Tigers
KAYO STADIUM, REDCLIFFE • SATURDAY 22 MAR, 5:30 PM
🏁

AI Referee Insights

Peter Gough officiated this match (176 career games). The 48-point combined total was right in line with Peter Gough's career average of 44. Wests Tigers's victory aligns with Peter Gough's historical trend — Wests Tigers have a 30% win rate under this referee.

Based on referee career statistics • Post-match analysis

AI Game Review

Wests Tigers defied the model's 60% prediction for Dolphins — a notable upset. The margin model missed here — predicting 3.7 but the actual margin was 12 points. Total score prediction of 43 was close to the actual 48 — within 5 points. Wests Tigers trailed 18–12 at half-time before staging a second-half comeback to win 18–30. A tough result for the model — all 3 picks missed on this one.

Model vs actual outcomes • Post-match analysis

Win Probability

AI Win Probability

60%DolphinsFavourite

Dolphins

60%

Wests Tigers

40%

AI Match Overview

Dolphins hold the advantage at 60% win probability, though Wests Tigers are far from out of this at 40%. Both sides are evenly matched across the key prediction factors, which explains the tight margin between them. Dolphins carry a 28-point ELO rating advantage (1404 vs 1376). Recent form favours Wests Tigers with 3 wins from their last 5 compared to 1 for Dolphins. The margin model predicts Dolphins by 3.7 points with a combined total of 43.

Generated from model features • Pre-kick-off analysis

Edge Analysis

3 ACTIVE EDGES

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

H2H Recommendation

Dolphins to Win @2.00

Lost ✗

Edge

+3.1%

Line / Spread

Dolphins +1.5 @1.91

Lost ✗

Edge

+3.1%

Total Points

Under 47.5 @1.91

Lost ✗

Edge

+11.8%

Form & History

TeamLast 5Avg Pts
Dolphins
WLLLL
15.6
Wests Tigers
WWWLL
23.6

Avg Conceded

22.0

Dolphins

23.6

Wests Tigers

Avg Margin

-6.4

Dolphins

0.0

Wests Tigers

Run Metres

1688

Dolphins

1648

Wests Tigers

Line Breaks

4.0

Dolphins

4.6

Wests Tigers

Referee IndicatorAI
Favours Wests Tigers
Peter Gough176 games since 2016

Each team's win rate when Peter Gough refs their game (vs any opponent, all seasons)

DOL
25%2W 6L
WST
30%7W 16L

Wests Tigers hold a 5‑point edge: 7W–16L (30%) vs Dolphins's 2W–6L (25%) across all games Peter Gough has refereed for each side. His games average 44.2 pts, sitting close to the league average.

Avg Total

44.2 pts

Home Win %

53%

Home Bias

Leans home

H2H History (Last 3)Dolphins lead 2-1
May 2024DOL 24 - 12 WST
Apr 2024DOL 26 - 16 WST
Sep 2023DOL 23 - 24 WST
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Dolphins hold the ELO advantage (1404 vs 1376), but the market favours Wests Tigers (@2.00).

The model sides with ELO — Dolphins predicted to win despite longer odds.

📊Team ELO Ratings

DOL
1404Overall1376
WST
ELO difference: +28 in favour of Dolphins

🏈Positional Matchups

Player ELO aggregated by position group — higher = stronger unit

1109Forwards1030
Best: 1248DOL +79Best: 1277
1000Backs1146
Best: 1111WST +145Best: 1197
1080Halves1183
Best: 1080WST +103Best: 1183
962Hooker861
DOL +101

📈Recent Form (Last 5)

DOL
Stat
WST
1.0
Wins (Last 5)
3.0
15.6pts
Avg Score
23.6pts
22.0pts
Avg Conceded
23.6pts
-6.4pts
Avg Margin
0.0pts
1687.8m
Run Metres
1648.2m
4.0
Line Breaks
4.6
364.8
Tackles
315.2
11.2
Errors
11.4

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

60%

Dolphins predicted to win by 4 points

Predicted total: 43 · Line: +3.7

0/3 match predictions correct
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