# Bulldogs v Cowboys — NRL Round 9 2026 AI Prediction by Alphr

## Full Time: Bulldogs 12 – 28 Cowboys

_Cowboys rope in Bulldogs._

Half time: 6 – 12 · Alphr AI pre-game win probability: Bulldogs 58% / Cowboys 42% · Accor Stadium, Sydney · Fri, 01 May, 06:00 pm AEST

**Try Scorers** — Bulldogs: Lachlan Galvin (8' 1st), Josh Curran (52') · Cowboys: Reuben Cotter (19'), Scott Drinkwater (29' Tipped ⚡), Scott Drinkwater (65' Tipped ⚡), Jake Clifford (75'), Braidon Burns (78' Tipped ⚡)

### Match Winner — AI Prediction Market (resolved)

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Bulldogs | 58% | Lost |
| Cowboys | 42% | Won |

Model call: **Missed** · Margin: 0.5 predicted → 16 actual · Markets hit: 2/4

_AI win probability priced pre-game · Markets hit = core betting markets._

### Full-Time Report

**Canterbury Bulldogs vs North Queensland Cowboys Prediction & Tips | NRL Round 9 2026**

_By Ben Dunlop · Published: 29 Apr 2026, 10:32 am · Last updated: 1 May 2026, 07:56 pm_

Bulldogs 12–28 Cowboys in NRL Round 9 at Accor Stadium, Sydney. Here's how the result stacked up against the model's call, with the win-probability story and where the value landed.

Twenty-eight minutes in, this one was still a contest. Scott Drinkwater's try had the Cowboys up just 6-4, and when Josh Curran crossed for the Bulldogs in the 52nd minute, the margin was two points, 10-12. Everything after that belonged to North Queensland. Drinkwater struck again in the 65th, Jake Clifford followed in the 74th, Braidon Burns finished it off in the 78th, and a tight game became a 16-point rout inside thirteen minutes.

Final score: Cowboys 28, Bulldogs 12. Cowboys led 12-6 at the break and the scoreboard just kept climbing from there.

Lachlan Galvin had actually put the Bulldogs in front early, scoring in the 7th minute for a 4-0 lead, and he added a second later for good measure. Two tries from one man usually wins you something. It didn't here, because the Cowboys had five different try scorers to call on, Reuben Cotter, Drinkwater twice, Clifford and Burns, and depth like that tends to tell in the end.

The stat sheet explains why the door swung open late. Six line breaks to one is the number that matters most. The Bulldogs could hold the ball, and did, completing at 81% to the Cowboys' 77% and coughing up only 12 errors to 13, but tidy footy without breaks doesn't score points. The Cowboys ran for 1,693 metres to 1,612, made more post-contact yardage's rival, 596 to the Bulldogs' 623, went slightly, and their tackle efficiency at 90.1% against 88.0% meant fewer easy metres handed back.

Discipline told a mixed story. Bulldogs conceded just 3 penalties to the Cowboys' 6, which should have helped, and they controlled the boot too, banking 736 kick metres to 618. None of it mattered much when the line was being broken at will. You can win the arm-wrestle in the middle and still lose the game out wide.

None of this should surprise anyone who looked at the sides walking in. The Cowboys held the edge everywhere that counts, forwards 1001 to 901, backs 1009 to 921, halves 994 to 961. Add in the form line, four wins from five against the Bulldogs' one, and an average winning margin of plus-4 against minus-7.6, and this had the shape of a contest the Cowboys were built to win even before Galvin's early four-pointer suggested otherwise.

Alphr's model had Cowboys favourites at 58% and picked them by half a point on a combined total of 46. The head call landed. The margin didn't, not by half a point, sixteen. The under on 50.5 points came in fine given the final total of 40. Cowboys covered the 2.5-line comfortably, and the model finished 4 from 17 on this one, a reminder that picking the winner is one thing and picking the how is another entirely.

Bulldogs had their moments, led early, moved the ball cleanly, kicked well. None of it survives a night where the other side breaks the line six times and finishes with five separate scorers. Cowboys had the class in reserve, and when it counted, they used it.

**Scoring by Half**

| Team | H1 | H2 | T |
|---|---|---|---|
| Bulldogs | 6 | 6 | 12 |
| Cowboys | 12 | 16 | 28 |

**Key Match Stats**

| Bulldogs | Stat | Cowboys |
|---|---|---|
| 50% | Possession | 50% |
| **81%** | Completion rate | 77% |
| 1,612 | Run metres | **1,693** |
| **623** | Post-contact metres | 596 |
| 1 | Line breaks | **6** |
| 30 | Tackle breaks | **33** |
| 11 | Offloads | **12** |
| 88.0% | Effective tackle % | **90.1%** |
| 33 | Missed tackles | **30** |
| **12** | Errors | 13 |
| **3** | Penalties conceded | 6 |
| **736** | Kick metres | 618 |

**Model Report Card**

Cowboys defied the model's 58% prediction for Bulldogs, a notable result. The margin model missed here, predicting 0.5 but the actual margin was 16 points. Cowboys led 6–12 at the break and pulled away in the second half to win by 16. The model went 4/17 on this match. Cowboys covered the 2.5-point line. The under 50.5 total call was correct.

**Referee Watch**

Peter Gough officiated this match (180 career games). The combined score of 40 points was 4 points below Peter Gough's career average of 44. Cowboys's victory aligns with Peter Gough's historical trend, Cowboys have a 64% win rate under this referee. Peter Gough averaged 12.4 penalties per game heading in, a whistle-heavy referee profile.

**Key moments (momentum model)**

- 7' Try — Lachlan Galvin (Bulldogs) — 4-0 · win-prob swing +5 pts
- 18' Try — Reuben Cotter (Cowboys) — 6-4 · win-prob swing -5 pts
- 28' Try — Scott Drinkwater (Cowboys) — 6-10 · win-prob swing -5 pts
- 52' Try — Josh Curran (Bulldogs) — 10-12 · win-prob swing +5 pts
- 65' Try — Scott Drinkwater (Cowboys) — 12-16 · win-prob swing -5 pts
- 74' Try — Jake Clifford (Cowboys) — 12-22 · win-prob swing -5 pts
- 78' Try — Braidon Burns (Cowboys) — 12-28 · win-prob swing -1 pts

_Official NRL match stats · Generated by Alphr's model_

### Edge Analysis — the model's pre-game markets

- **Head to Head:** Bulldogs to win @ $1.74 (edge +2.8%) — model probability 57.5% — result: LOST
- **Line / Spread:** Cowboys +2.5 @ $1.91 (edge +0.0%) — result: WON
- **Margin Band:** Cowboys 1-12 @ $2.55 (edge +0.0%) — result: LOST
- **Total (Over/Under):** Under 50.5 @ $1.91 (edge +0.0%) — result: WON
- Predicted margin: Cowboys by 1 · Predicted total: 46

### Match Preview (pre-match read)

Bulldogs are the call at 58%, but Cowboys stay live at 42%. The ratings say otherwise: Cowboys sit 45 ELO points clear, 1476 to 1430, so the model is backing Bulldogs against the ratings gap. Form leans Cowboys' way: 4 from their last 5, against 1 for Bulldogs.

On paper Cowboys shade it, ahead on 6 of 7 factors including ELO Difference, Forward Pack and Backline Quality. The model still sides with Bulldogs, which says Venue Advantage carry the most weight. Lean Bulldogs, but it shapes as a genuine contest.

Cowboys have won 7 of the last 10 between these two, and Cowboys took the most recent meeting 28-12 in 2026 Round 9.

Cowboys have won 3 games this season after trailing at half-time.

On the ladder it's Bulldogs 10th against Cowboys 8th.

The market has Bulldogs favourites, Bulldogs $1.74 and Cowboys $2.10, with the line at Bulldogs -2.5 and the total at 50.5.

Peter Gough has the whistle: 16.9 penalties a game (whistle-happy), 0.6 sin bins a game.

**By the numbers**

|  |  |
|---|---|
| H2H (last 10) | Bulldogs 3 · Cowboys 7 |
| Last meeting | Cowboys 28-12 |
| Bulldogs last 4 | LWLL · 80 for, 94 against |
| Bulldogs at home | 7-5 this season |
| Cowboys last 4 | LWLL · 100 for, 118 against |
| Cowboys away | 6-7 this season |
| Ladder | Bulldogs 10th · Cowboys 8th |
| Finals odds | Bulldogs 0% · Cowboys 100% |
| Market | Bulldogs $1.74 · Cowboys $2.10 |
| Line | Bulldogs -2.5 · total 50.5 |
| Referee | Peter Gough · 16.9 pens/g · 0.6 bins/g |

_Pre-match read · Alphr model_

### Referee Indicator — Favours Cowboys

**Peter Gough** — 180 career games since 2012.

| Team | Record under Peter Gough | Win rate |
|---|---|---|
| Bulldogs | 10W–18L | 36% |
| Cowboys | 16W–9L | 64% |

Avg total: 44.3 pts · Home win %: 53% · Home bias: Leans home

When Peter Gough officiates, Cowboys have won 16 of 25 games (64%), significantly stronger than Bulldogs's 10 from 28 (36%).

Peter Gough averages 12.4 penalties per game, above the league norm. Expect frequent stoppages. Penalises away teams more, 5.8 against home vs 6.5 against away. Bulldogs get a +-0.6 penalty advantage under Peter Gough vs Cowboys's -0.9.

### Recent Form (Last 5)

| Bulldogs | Stat | Cowboys |
|---|---|---|
| 1.0 | Wins (Last 5) | 4.0 |
| 20.8pts | Avg Score | 29.4pts |
| 28.4pts | Avg Conceded | 25.4pts |
| -7.6pts | Avg Margin | 4.0pts |
| 1743.2m | Run Metres | 1900.2m |
| 5.0 | Line Breaks | 8.4 |
| 341.6 | Tackles | 323.4 |
| 13.0 | Errors | 11.8 |

### Form & History

_Last 5 games, oldest → newest._

| Team | Last 5 | Avg Pts |
|---|---|---|
| Bulldogs | R4 L · R5 L · R6 W · R7 L · R8 L | 20.8 |
| Cowboys | R4 W · R5 W · R6 W · R7 L · R8 W | 29.4 |

### H2H History (Last 5) — Cowboys lead 3-2

| Season | Round | Home | Score | Away |
|---|---|---|---|---|
| 2025 | R19 | Cowboys | 8 – 12 | Bulldogs |
| 2024 | R27 | Bulldogs | 6 – 44 | Cowboys |
| 2024 | R20 | Cowboys | 20 – 18 | Bulldogs |
| 2023 | R5 | Bulldogs | 15 – 14 | Cowboys |
| 2022 | R21 | Bulldogs | 14 – 28 | Cowboys |

### Positional Matchup

_Season-to-date production per game with league-wide attack/defence tiers (17 teams)._

**Field Matchup** — where one team attacks vs where the other concedes:
- Bulldogs' best path is the middle: NRL's 11th-ranked middle attack (1.71 tries/game) runs at a Cowboys defence ranked 11th there (1.88 conceded/game). Key man: Galvin, 3 tries in that channel this season.
- Cowboys' best path is the left edge: NRL's 2nd-ranked left edge attack (1.88 tries/game) runs at a Bulldogs defence ranked 9th there (1.29 conceded/game). Key man: Luki, 4 tries in that channel this season.

| Channel | Bulldogs | Cowboys |
|---|---|---|
| Left | 0.86/g (att 15th (weak)) · concedes 1.29/g (def 9th) | 1.88/g (att 2nd (strong)) · concedes 1.38/g (def 10th) |
| Middle | 1.71/g (att 11th) · concedes 1.57/g (def 6th (strong)) | 1.5/g (att 12th) · concedes 1.88/g (def 11th) |
| Right | 0.57/g (att 17th (weak)) · concedes 1.29/g (def 9th) | 1.38/g (att 6th (strong)) · concedes 1.5/g (def 13th (weak)) |

**Attack Spine** (Halfback · Five-Eighth · Hooker)

|  | Bulldogs | Cowboys |
|---|---|---|
| Attack rank | 6th (strong) | 9th |
| Defence rank | 5th (strong) | 14th (weak) |
| Tries scored · conceded | 6 · 3 | 5 · 9 |
| Try Assists | 0.6/g | 1.6/g |
| Run Metres | 261m/g | 225m/g |
| Tackle Breaks | 4.3/g | 6.5/g |
| Line Breaks | 0.9/g | 1.1/g |
| Tackle Efficiency | 87.4% | 89% |

**Outside Backs** (Fullback · Wingers · Centres)

|  | Bulldogs | Cowboys |
|---|---|---|
| Attack rank | 17th (weak) | 5th (strong) |
| Defence rank | 8th | 7th |
| Tries scored · conceded | 8 · 18 | 26 · 20 |
| Try Assists | 1/g | 1.9/g |
| Run Metres | 820m/g | 813m/g |
| Tackle Breaks | 13.7/g | 16.4/g |
| Line Breaks | 2/g | 4.1/g |
| Tackle Efficiency | 79.9% | 77.3% |

**Forwards** (Props · 2nd Rows · Lock)

|  | Bulldogs | Cowboys |
|---|---|---|
| Attack rank | 8th | 5th (strong) |
| Defence rank | 8th | 11th |
| Tries scored · conceded | 5 · 5 | 6 · 6 |
| Try Assists | 0.3/g | 0.4/g |
| Run Metres | 466m/g | 519m/g |
| Tackle Breaks | 6/g | 6.6/g |
| Line Breaks | 1.6/g | 1.1/g |
| Tackle Efficiency | 89.9% | 89.3% |

**Who scores on Cowboys** — Props 0.31/g (lg 0.17) +82% · Five-Eighths 0.41/g (lg 0.27) +52% · Locks 0.14/g (lg 0.1) +40%
**Who scores on Bulldogs** — 2nd Rows 0.48/g (lg 0.46) +4% · Wingers 1.26/g (lg 1.26) +0% · Locks 0.09/g (lg 0.1) -10%

_Tries conceded by position, last 3 seasons; positive = concedes above league average to that position._

### Try Scorer History — Who Crosses The Line

_Last 10 games, career record vs the opponent and at Accor Stadium. ⚡ = our AI backs them to score; 🎯 = our AI's first-try pick. 🏉 = scored in this game. Try % = share of games with a try, last 10 weighted double vs the 30 prior — historical frequency, not a market price._

**Bulldogs** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | Try % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Connor Tracey | FB | 2 in 7g | 2/10g (0·0·0·0·1·0·1·0·0·0) | 4/10g | 4/25g | 20% | — | — |
| 2 | Jonathan Sua | WG | 1 in 3g | 1/5g (0·0·0·1·0) | 0/1g | 0/2g | 20% | ⚡ Anytime Try $1.76 AI 40% ✗ No try | — |
| 3 | Bronson Xerri | CE | 1 in 5g | 2/10g (0·0·0·0·1·0·0·0·1·0) | 2/3g | 6/24g | 32% | ⚡ Anytime Try $2.55 AI 30% ✗ No try; 🎯 First Try $14.00 AI 7% ✗ Not first | — |
| 4 | Stephen Crichton | CE | 0 in 5g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 3/8g | 19/34g | 18% | — | — |
| 5 | Enari Tuala | WG | 0 in 5g | 4/10g (2·1·0·1·0·0·0·0·0·0) | 2/6g | 4/13g | 34% | ⚡ Anytime Try $1.82 AI 25% ✗ No try | — |
| 6 | Matt Burton | 5/8 | 3 in 7g | 4/10g (0·1·0·0·0·2·0·0·0·1) | 1/5g | 16/39g | 24% | — | — |
| 7 | Lachlan Galvin | HB | 3 in 7g | 4/10g (0·0·1·0·0·0·1·0·1·1) | 0/2g | 5/12g | 28% | — | 🏉 8' |
| 8 | Samuel Hughes | PR | 1 in 6g | 1/10g (0·0·0·0·0·0·0·1·0·0) | 0/3g | 3/20g | 10% | — | — |
| 9 | Bailey Hayward | HK | 0 in 7g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/3g | 1/24g | 2% | — | — |
| 10 | Leo Thompson | PR | 0 in 2g | 1/10g (0·0·0·0·0·0·1·0·0·0) | 0/5g | 0/4g | 6% | — | — |
| 11 | Sitili Tupouniua | INT | 2 in 7g | 2/10g (0·0·0·0·0·0·1·1·0·0) | 2/7g | 5/16g | 24% | — | — |
| 12 | Jacob Preston | 2R | 3 in 7g | 4/10g (0·0·1·1·1·0·0·1·0·0) | 3/4g | 10/27g | 38% | ⚡ Anytime Try $2.12 AI 47% ✗ No try; 🎯 First Try $11.00 AI 12% ✗ Not first | — |
| 13 | Jaeman Salmon | LK | 0 in 7g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/6g | 2/32g | 8% | — | — |
| 14 | Kurt Mann | INT | 0 in 7g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 4/14g | 8/33g | 6% | — | — |
| 15 | Josh Curran | 2R | 0 in 5g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 3/7g | 4/24g | 12% | — | 🏉 52' |
| 16 | Lipoi Hopoi | RES | 0 in 4g | 1/10g (0·0·0·1·0·0·0·0·0·0) | 0/0g | 1/11g | 7% | — | — |
| 17 | Jake Turpin | INT | 0 in 5g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 2/7g | 0/11g | 0% | — | — |

**Cowboys** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | Try % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Scott Drinkwater | FB | 4 in 8g | 4/10g (0·0·0·0·1·0·1·1·0·1) | 4/8g | 2/4g | 38% | ⚡ Anytime Try $2.20 AI 49% ✓ Scored; 🎯 First Try $13.00 AI 12% ✗ Not first | 🏉 29' 65' |
| 2 | Braidon Burns | WG | 5 in 7g | 8/10g (1·1·1·0·1·0·2·1·0·1) | 1/6g | 6/21g | 50% | ⚡ Anytime Try $1.88 AI 62% ✓ Scored; 🎯 First Try $10.00 AI 18% ✗ Not first | 🏉 78' |
| 3 | Jaxon Purdue | CE | 5 in 8g | 6/10g (1·0·0·1·1·0·2·1·0·0) | 1/3g | 0/1g | 44% | ⚡ Anytime Try $2.12 AI 55% ✗ No try; 🎯 First Try $12.00 AI 14% ✗ Not first | — |
| 4 | Tom Chester | CE | 2 in 7g | 2/10g (0·0·0·0·1·0·0·1·0·0) | 1/1g | 1/1g | 24% | ⚡ Anytime Try $2.90 AI 27% ✗ No try | — |
| 5 | Zac Laybutt | WG | 1 in 6g | 1/10g (0·0·0·0·0·0·0·1·0·0) | 1/2g | 0/1g | 21% | — | — |
| 6 | Jake Clifford | 5/8 | 3 in 8g | 4/10g (0·1·0·0·1·1·1·0·0·0) | 1/5g | 0/3g | 24% | — | 🏉 75' |
| 7 | Tom Dearden | HB | 1 in 8g | 2/10g (1·0·0·0·0·0·0·0·0·1) | 2/7g | 2/6g | 30% | — | — |
| 8 | Coen Hess | PR | 1 in 8g | 1/10g (0·0·0·0·0·0·0·0·1·0) | 4/11g | 4/8g | 8% | — | — |
| 9 | Reed Mahoney | HK | 1 in 7g | 1/10g (0·0·0·0·0·0·0·0·0·1) | 1/8g | 5/49g | 12% | — | — |
| 10 | Jason Taumalolo | PR | 0 in 8g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 2/15g | 1/9g | 0% | — | — |
| 11 | Heilum Luki | 2R | 4 in 8g | 4/10g (0·0·1·0·0·1·0·1·0·1) | 3/4g | 1/2g | 28% | — | — |
| 12 | Jeremiah Nanai | 2R | 0 in 1g | 4/10g (1·0·0·1·0·0·1·1·0·0) | 0/5g | 0/3g | 40% | — | — |
| 13 | Reuben Cotter | LK | 0 in 7g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/5g | 0/3g | 8% | — | 🏉 19' |
| 14 | Soni Luke | RES | 2 in 8g | 2/10g (0·0·0·0·0·0·0·1·0·1) | 0/2g | 0/2g | 10% | — | — |
| 15 | Sam McIntyre | INT | 1 in 7g | 1/10g (0·0·0·0·0·0·1·0·0·0) | 0/7g | 0/1g | 8% | — | — |
| 16 | Thomas Mikaele | INT | 0 in 6g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/7g | 0/5g | 0% | — | — |
| 17 | Griffin Neame | INT | 0 in 8g | 1/10g (0·1·0·0·0·0·0·0·0·0) | 1/5g | 0/4g | 6% | — | — |

### Prediction Breakdown — Pure Alpha Model

**ELO–Market Disagreement:** Cowboys hold the ELO advantage (1476 vs 1430), but the market favours Bulldogs (@1.74). The model sides with the market, other factors override the ELO gap.

**Team ELO Ratings** — Bulldogs 1430 · Cowboys 1476 · ELO difference: 45 in favour of Cowboys

**Positional Matchups** — lineup ELO by unit

| Unit | Bulldogs | Cowboys | Edge |
|---|---|---|---|
| Forwards | 901 | 1001 | Cowboys +100 |
| Backs | 921 | 1009 | Cowboys +87 |
| Halves | 961 | 994 | Cowboys +33 |
| Hooker | 929 | 947 | Cowboys +18 |

**Key Prediction Factors** — what the model weighted most

| # | Factor | Weight | Favours |
|---|---|---|---|
| 1 | ELO Difference | 14.0% | Cowboys |
| 2 | Forward Pack | 12.0% | Cowboys |
| 3 | Backline Quality | 10.0% | Cowboys |
| 4 | Halves Control | 9.0% | Cowboys |
| 5 | Recent Win Rate | 9.0% | Cowboys |
| 6 | Referee Tendency | 7.0% | Cowboys |
| 7 | Venue Advantage | 7.0% | Bulldogs |

**Model Confidence: 58%** — Bulldogs favoured in a tight, low-margin contest · Predicted total: 46 pts

**Record:** 2/4 match predictions correct

**Prediction by Alphr** (https://alphr.com.au) — free AI predictions for every AFL, NRL & Super League match, published before kick-off and never edited. Verified track record: https://alphr.com.au/accuracy

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Last updated: 2026-05-01 09:56 UTC (latest tip update)