NRL | Round 12

alphr.com.au

CAN
Raiders
VS
DOL
Dolphins
GIO STADIUM, CANBERRA • THURSDAY 21 MAY, 7:50 PM

AI Win Probability

60%RaidersFavourite

Raiders

60%

Dolphins

40%

AI Match Overview

Raiders hold the advantage at 60% win probability, though Dolphins are far from out of this at 40%. Dolphins are stronger on paper across 4 of 7 key factors, including ELO Difference, Forward Pack and Backline Quality, but Raiders counter with Referee Tendency and Venue Advantage which tips the scales. Dolphins carry a 92-point ELO rating advantage (1536 vs 1445). The margin model predicts Raiders by 2.6 points with a combined total of 45.

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

Raiders to Win @1.67

Edge

+3.0%

Line / Spread

Raiders -2.5 @1.91

Edge

+0.0%

Margin Band

Raiders 1-12 @2.55

Edge

+0.0%

Total Points

Under 49.5 @1.91

Edge

+0.0%

Form & History

TeamLast 5Avg Pts
Raiders
R6W
R7W
R8L
R9W
R10L

older → newer

24.4
Dolphins
R7L
R8L
R9W
R10W
R11W
28.8

Avg Conceded

26.2

Raiders

15.0

Dolphins

Avg Margin

-1.8

Raiders

13.8

Dolphins

Run Metres

1742

Raiders

1866

Dolphins

Line Breaks

5.2

Raiders

6.4

Dolphins

Referee Indicator

Favours Dolphins

Todd Smith

105 career games · since 2012

AI Analysis

Win rate when Todd Smith refs each team (vs any opponent)

Raiders
7W – 8L
47%
Dolphins
7W – 3L
70%

When Todd Smith officiates, Dolphins have won 7 of 10 games (70%), significantly stronger than Raiders's 7 from 15 (47%). Games average 46.1 pts, above the league norm, suggesting a free-flowing style.

Avg Total

46.1 pts

Home Win %

53%

Home Bias

Leans home

Penalty & Discipline

Pen / Game

10.7

Sin Bins / Gm

0.50

SB Away %

52%

Avg Penalties Per Game

vs Home Teams5.3
vs Away Teams5.4

Penalty Advantage Under This Ref

Positive = opponent penalised more than your team

Raiders
-0.5
Dolphins
+0.6

Dolphins get a +0.6 penalty advantage under Todd Smith vs Raiders's -0.5.

H2H History (Last 5)Raiders lead 3-2
Sep 2025CAN 24 - 62 DOL
Apr 2025CAN 40 - 28 DOL
Jun 2024CAN 26 - 25 DOL
May 2023CAN 31 - 30 DOL
Mar 2023CAN 14 - 20 DOL
Prediction BreakdownPure Alpha Model

ELO–Market Disagreement

Dolphins hold the ELO advantage (1536 vs 1445), but the market favours Raiders (@1.67).

The model sides with the market, other factors override the ELO gap.

📊Team ELO Ratings

CAN
1445Overall1536
DOL
ELO difference: -92 in favour of Dolphins

🏈Positional Matchups

Player ELO aggregated by position group, higher = stronger unit

979Forwards1069
DOL +90
936Backs1000
DOL +64
980Halves1062
DOL +82
938Hooker1000
DOL +62

📈Recent Form (Last 5)

CAN
Stat
DOL
3.0
Wins (Last 5)
3.0
24.4pts
Avg Score
28.8pts
26.2pts
Avg Conceded
15.0pts
-1.8pts
Avg Margin
13.8pts
1741.8m
Run Metres
1866.4m
5.2
Line Breaks
6.4
364.0
Tackles
353.0
9.0
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%
Dolphins
4
Halves Control9.0%
Dolphins
5
Recent Win Rate9.0%
6
Referee Tendency7.0%
Raiders
7
Venue Advantage7.0%
Raiders

Model Confidence

60%

Raiders predicted to win by 3 points

Predicted total: 45 · Line: +2.6

Scorer Markets

Anytime Try Scorer

Model probability vs Sportsbet overlay, ranked by edge.

8 Plays
Jack BostockDolphins
backFair 1.162+ 58%
$2.08
+37.9% edge
Model
86%
Market
48%
Confidence
86%
Jamayne IsaakoDolphins
backFair 1.302+ 43%
$1.81
+21.4% edge
Model
77%
Market
55%
Confidence
77%
Kaeo WeekesRaiders
backFair 1.582+ 26%
$1.85
+9.1% edge
Model
63%
Market
54%
Confidence
63%
Kulikefu FinefeuiakiDolphins
forwardFair 3.022+ 6%
$3.40
+3.7% edge
Model
33%
Market
29%
Confidence
33%
Sebastian KrisRaiders
backFair 3.142+ 6%
$2.50
-8.1% edge
Model
32%
Market
40%
Confidence
32%
Savelio TamaleRaiders
backFair 2.322+ 11%
$1.87
-10.3% edge
Model
43%
Market
53%
Confidence
43%
Xavier SavageRaiders
backFair 2.042+ 15%
$1.63
-12.3% edge
Model
49%
Market
61%
Confidence
49%
Trai FullerDolphins
backFair 11.222+ 0%
$2.45
-31.9% edge
Model
9%
Market
41%
Confidence
9%
Scorer Markets

First Try Scorer

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

5 Plays
Jack BostockDolphins
backFair 2.912+ 58%
$10.00
+24.4% edge
Model
34%
Market
10%
Confidence
34%
Kaeo WeekesRaiders
backFair 3.592+ 26%
$9.50
+17.3% edge
Model
28%
Market
11%
Confidence
28%
Jamayne IsaakoDolphins
backFair 3.932+ 43%
$9.00
+14.3% edge
Model
25%
Market
11%
Confidence
25%
Xavier SavageRaiders
backFair 5.312+ 15%
$8.50
+7.1% edge
Model
19%
Market
12%
Confidence
19%
Savelio TamaleRaiders
backFair 6.342+ 11%
$10.00
+5.8% edge
Model
16%
Market
10%
Confidence
16%