NRL 2026 · Round 14 · Friday 6 JuneNRL Analytics

Raiders v Roosters

A Lean tip against the grain. The model likes the Roosters — but H2H 4-1, a 38% Roosters record at GIO, and a hangover from last week's 4-18 loss in Melbourne all point one way.

GIO Stadium, Canberra · SavvyPlays · R14 Preview

This is a Lean tip against the grain. The Predict model favours the Roosters (-3.1), they have the better squad by ±/G, and they're higher on the ladder. But three structural factors stack against them: a 4-1 H2H deficit against the Raiders, a poor 38% record at GIO Stadium, and the hangover effect from last week's 4-18 loss at AAMI Park.

When H2H, venue, and momentum all point one way, we lean into it — even against the better team.

The Verdict

01SavvyPlays Tip — Lean

Three structural factors override the quality gap: the Raiders lead this H2H 4-1 in the last five, the Roosters win just 38% at GIO Stadium, and they're backing up from a demoralising 4-18 loss in Melbourne. Our Edge Engine flags the 'away_hangover_storm' factor — teams coming off losses at AAMI Park have historically underperformed the following week. This stays Lean, not Strong — the quality gap is real and this tip is the most likely to be wrong this week.

Raiders
SavvyPlays Tip
-3.1
Predicted Margin (Roosters)
4-1
H2H Last 5 (Raiders)
38%
Roosters at GIO

All Signals

02Key Signals

-3.1
Predict Margin (Roosters fav.)
-3.9
Raiders Squad ±/G
76%
Raiders Best 17
+0.4
CI/DS Combined
4-1
H2H Last 5 (Raiders)
38%
Roosters at GIO (5W-8L)
+3
Edge Engine (Lean Home)
4-18
Roosters Last Game (AAMI Park)

Ground & History

03Venue & Head-to-Head

55%
Raiders at GIO (125W-101L, 226 games)
38%
Roosters at GIO (5W-8L, 13 games)

GIO Stadium isn't a fortress — the Raiders only win 55% of the time there. But the Roosters specifically struggle in Canberra, winning just 38% of visits. The cold, the travel, and the hostile crowd all play a role.

YearRoundMatchScoreWinnerLine
2025R13Roosters v Raiders24-26Raiders+1.5
2024R26Roosters v Raiders12-14Raiders-16.5
2024R12Raiders v Roosters16-44Roosters+12.5
2023R17Roosters v Raiders18-20Raiders-4.0
2022R13Raiders v Roosters22-16Raiders+3.0

Raiders lead H2H 4-1 in the last five, including three by 6 points or fewer. The Roosters' only win was a 44-16 blowout in 2024 R12 at home. Away from the SFS, the Roosters have struggled badly in this matchup — three consecutive losses in Canberra or at neutral venues.

Named Squads

04Raiders — 76% Best 17 (DS 3.0) · Squad avg ±/G: -3.9

#PlayerPositionGP±/G
1Kaeo WeekesFullback12-6.0
2Savelio TamaleWing10-4.3
3Daine LaurieCentre5-0.2
4Matthew TimokoCentre7-3.0
5Xavier SavageWing7-9.0
6Ethan StrangeFive-Eighth10-8.0
7Ethan SandersHalfback12-6.0
8Corey HorsburghProp12-2.1
9Tom StarlingHooker12-1.1
10Joseph TapineProp12-5.9
11Hudson YoungSecond Row9-6.8
12Zac HoskingSecond Row10-2.1
13Jayden BraileyLock11-6.5
14Owen PattieInterchange4-2.5
15Ata MariotaInterchange12-1.6
16Morgan SmithiesInterchange12-3.2
17Jed StuartInterchange6-2.5

Out: Sebastian Kris (centre, new out), Josh Papalii (prop, 7+wk), Simi Sasagi (interchange, 4wk), Matty Nicholson (interchange, 10+wk).

Named Squads

05Roosters — 88% Best 17 (DS 1.6) · Squad avg ±/G: +2.4

#PlayerPositionGP±/G
1James TedescoFullback11+4.3
2Billy SmithWing3-13.3
3Hugo SavalaCentre8+12.6
4Robert ToiaCentre10+7.1
5Cody RamseyWing4-0.5
6Daly Cherry-EvansFive-Eighth11+4.3
7Sam WalkerHalfback11+4.3
8Naufahu WhyteProp11+3.0
9Reece RobsonHooker9+7.2
10Lindsay CollinsProp10-3.0
11Angus CrichtonSecond Row11+3.7
12Siua WongSecond Row11+5.2
13Victor RadleyLock6+3.3
14Connor WatsonInterchange11+4.9
15Spencer LeniuInterchange7+2.3
16Nat ButcherInterchange11+6.3
17Salesi FoketiInterchange9+2.1

Out: Daniel Tupou (wing, new out), Blake Steep (interchange, 5+wk).

The Key Battles

06Key Matchups & Narratives

On paper, this isn't close. The Roosters have a ±/G of +2.4 versus the Raiders' -3.9 — a gap of 6.3 points per player per game. Every Raiders starter is negative. The Roosters have 11 positive starters. By pure squad quality, this should be a comfortable Roosters win.

But the H2H says otherwise. The Raiders have won 4 of the last 5 against the Roosters, including three by 2 points or fewer. This isn't a quality-based dominance — it's a matchup dynamic. The Raiders consistently find a way to make this particular contest uncomfortable for the Roosters, regardless of the broader form line.

The hangover factor. The Roosters were humbled 4-18 by the Storm at AAMI Park in R13. Our edge engine flags the 'away_hangover_storm' factor (+2 in the engine score) — teams coming off losses at AAMI Park have historically underperformed the following week. The cold Canberra Friday night after a demoralising Melbourne loss is not where the Roosters want to be.

The ±/G contrast is stark. Savala (+12.6), Robson (+7.2), Toia (+7.1), and Butcher (+6.3) give the Roosters genuine game-changers. The Raiders' best is Laurie at -0.2. The quality gap is the widest of any Lean tip we've made this season — which is why this stays Lean, not Strong.

Why We're Going Against The Numbers

Our framework says H2H streaks of 3+ are deeply embedded and should only be overridden when the opposing disruption score exceeds 10. The Roosters' DS is just 1.6 — nowhere near that threshold. Combined with the venue (38% for Roosters at GIO) and the AAMI Park hangover, we lean Raiders despite the clear quality disadvantage. This is the tip most likely to be wrong this week.

Model Output

07Prediction Breakdown

1481
Raiders ELO
1582
Roosters ELO
157.6
Raiders PCS (Squad)
157.5
Roosters PCS (Squad)
-3.6
Blended (pre-adj)
-3.1
Final Margin (Roosters fav.)

The Predict model favours Roosters by 3.1 points. ELO gives them the edge (1582 vs 1481) but PCS is dead level (157.6 vs 157.5). Form adjustments add +3.6 for the Raiders (better completion rates and lower error counts recently) and the GIO venue bonus adds +1.1. The model says Roosters, but only just — and it doesn't account for H2H dynamics or the hangover effect.

About This Preview

This preview combines four analytical layers: ELO ratings (updated after every match since 2007), Player Contribution Score (PCS — a weighted composite of 52 Champion Data player metrics on a rolling 15-game window), on-field Plus/Minus (±/G — net scoring margin per game across each player's exact on-field minutes), and the Edge Engine (a factor-based model incorporating coaching history, scheduling, and H2H patterns).

Squad availability is tracked via Best 17 percentage — the proportion of the first-choice XVII that are available. Disruption Score (DS) measures the cumulative positional impact of unavailable players. Predicted margin blends ELO (50%), PCS gap (30%), and form/venue adjustments (20%).

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