NRL | Round 5

alphr.com.au

SGI
Dragons
VS
NQL
Cowboys
JUBILEE STADIUM • SATURDAY 4 APR, 5:30 PM

Win Probability

AI Game Review

Our model correctly predicted Cowboys to win at 57% probability. The margin model missed here, predicting 2.8 but the actual margin was 32 points. Cowboys led 0–16 at the break and pulled away in the second half to win by 32. The model went 7/17 on this match. The 1-12 margin band call landed. The under 49.5 total call was correct.

Model vs actual outcomes • Post-match analysis

🏁

AI Referee Insights

Wyatt Raymond officiated this match (40 career games). The combined score of 32 points was 19 points below Wyatt Raymond's career average of 51. Cowboys's victory aligns with Wyatt Raymond's historical trend, Cowboys have a 33% win rate under this referee. Despite Wyatt Raymond's 60% career home-team win rate, the away side Cowboys prevailed.

Based on referee career statistics • Post-match analysis

Momentum Replay
Beta
80', Cowboys firmly in control (99%)
DRA0
1%80'99%
32COW
HT100%50%0%0'20'40'60'80'
Cowboys momentumMomentum -20Dragons momentum →
Next Try (within 10 min)
AI Model
86% none
DRA 5%No try 86%COW 9%
Biggest Swings

AI Win Probability

57%CowboysFavourite

Dragons

43%

Cowboys

57%

AI Match Overview

Cowboys hold the advantage at 57% win probability, though Dragons are far from out of this at 43%. The model sees Cowboys ahead on 5 of 7 key factors including ELO Difference, Forward Pack and Backline Quality. Cowboys carry a 124-point ELO rating advantage (1427 vs 1303). Recent form favours Cowboys with 2 wins from their last 5 compared to 0 for Dragons. The margin model predicts Cowboys by 2.8 points with a combined total of 44.

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

Cowboys to Win @1.70

Winner ✓

Edge

+0.8%

Line / Spread

Cowboys -2.5 @1.91

Winner ✓

Edge

+0.0%

Margin Band

Cowboys 1-12 @2.55

Lost ✗

Edge

+0.0%

Total Points

Under 49.5 @1.91

Winner ✓

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Dragons
R2025-R27L
R2026-R1L
R2026-R2L
R2026-R3L
R2026-R4L

older → newer

17.6
Cowboys
R2025-R26L
R2026-R1L
R2026-R2L
R2026-R3W
R2026-R4W
24.4

Avg Conceded

30.6

Dragons

30.0

Cowboys

Avg Margin

-13.0

Dragons

-5.6

Cowboys

Run Metres

1667

Dragons

1734

Cowboys

Line Breaks

3.2

Dragons

4.8

Cowboys

Referee Indicator

Favours Cowboys

Wyatt Raymond

40 career games · since 2012

AI Analysis

Win rate when Wyatt Raymond refs each team (vs any opponent)

Dragons
1W – 3L
25%
Cowboys
1W – 2L
33%

Cowboys hold a 8-point edge: 1W–2L (33%) vs Dragons's 1W–3L (25%). Games average 50.6 pts, above the league norm, suggesting a free-flowing style. Home teams win 60% of his matches (vs ~52% league avg). Small sample (3 games for Cowboys).

Avg Total

50.6 pts

Home Win %

60%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

9.7

Sin Bins / Gm

0.43

SB Away %

50%

Avg Penalties Per Game

vs Home Teams4.9
vs Away Teams4.9

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Dragons
+1.4
Cowboys
-1.3

Dragons get a +1.4 penalty advantage under Wyatt Raymond vs Cowboys's -1.3.

H2H History (Last 5)Cowboys lead 5-0
Aug 2025SGI 32 - 38 NQL
Mar 2024SGI 24 - 46 NQL
May 2023SGI 22 - 42 NQL
Jul 2022SGI 8 - 34 NQL
Jun 2022SGI 12 - 31 NQL
Prediction BreakdownPure Alpha Model

📊Team ELO Ratings

SGI
1303Overall1427
NQL
ELO difference: -124 in favour of Cowboys

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

809Forwards937
NQL +128
788Backs896
NQL +107
768Halves960
NQL +193
823Hooker918
NQL +95

📈Recent Form (Last 5)

SGI
Stat
NQL
0.0
Wins (Last 5)
2.0
17.6pts
Avg Score
24.4pts
30.6pts
Avg Conceded
30.0pts
-13.0pts
Avg Margin
-5.6pts
1666.8m
Run Metres
1734.2m
3.2
Line Breaks
4.8
381.0
Tackles
316.4
9.2
Errors
12.0

🔑Key Prediction Factors

What the model weighted most in this prediction

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

Model Confidence

57%

Cowboys predicted to win by 3 points

Predicted total: 44 · Line: -2.8

3/4 match predictions correct4/13 scorer picks correct
Scorer Markets

Anytime Try Scorer

Model probability vs Sportsbet overlay, ranked by edge.

8 Plays
Murray TaulagiCowboys
backFair 1.292+ 44%
$1.65
+17.0% edge
Model
78%
Market
61%
Confidence
78%
Jaxon PurdueCowboys
backFair 1.592+ 26%
$2.10
+15.2% edge
Model
63%
Market
48%
Confidence
63%
Valentine HolmesDragons
backFair 1.892+ 18%
$2.35
+10.5% edge
Model
53%
Market
43%
Confidence
53%
Scott DrinkwaterCowboys
backFair 2.152+ 13%
$2.65
+8.8% edge
Model
47%
Market
38%
Confidence
47%
Braidon BurnsCowboys
backFair 1.602+ 26%
$1.86
+8.6% edge
Model
62%
Market
54%
Confidence
62%
Christian TuipulotuDragons
backFair 1.912+ 17%
$1.89
-0.5% edge
Model
52%
Market
53%
Confidence
52%
Tom ChesterCowboys
backFair 4.632+ 3%
$2.95
-12.3% edge
Model
22%
Market
34%
Confidence
22%
Moses SuliDragons
backFair 5.082+ 2%
$3.00
-13.6% edge
Model
20%
Market
33%
Confidence
20%
Scorer Markets

First Try Scorer

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

5 Plays
Valentine HolmesDragons
backFair 6.232+ 18%
$12.00
+7.7% edge
Model
16%
Market
8%
Confidence
16%
Murray TaulagiCowboys
backFair 5.682+ 44%
$8.50
+5.9% edge
Model
18%
Market
12%
Confidence
18%
Christian TuipulotuDragons
backFair 6.352+ 17%
$9.50
+5.2% edge
Model
16%
Market
11%
Confidence
16%
Jaxon PurdueCowboys
backFair 8.582+ 26%
$11.00
+2.6% edge
Model
12%
Market
9%
Confidence
12%
Braidon BurnsCowboys
backFair 8.682+ 26%
$9.50
+1.0% edge
Model
12%
Market
11%
Confidence
12%