# Carlton v Brisbane Lions — AFL Round 21 2026 AI Prediction by Alphr

## Full Time: Carlton 154 – 78 Brisbane Lions

_Carlton run riot over Brisbane Lions._

Half time: 79 – 61 · Alphr AI pre-game win probability: Carlton 34% / Brisbane Lions 66% · Marvel Stadium · Sat, 01 Aug, 07:40 pm AEST

**Goal Kickers** — Carlton: Marc Pittonet (9'), Lewis Young (13'), Francis Evans (23'), Brodie Kemp (28' ×4 Tipped ⚡), Matthew Cottrell (49'), Will Hayward (52' Tipped ⚡), Jagga Smith (56' ×2), Harry Dean (59'), Ben Ainsworth (70'), Oliver Florent (77'), Harry McKay (86' ×2), George Hewett (90'), Mitch McGovern (98' Tipped ⚡), Final quarter (29m 31s)Brodie Kemp (72'), Blake Acres (83'), Talor Byrne (86' Tipped ⚡), Sam Walsh (88') · Brisbane Lions: Hugh McCluggage (7' 1st), Oscar Allen (11'), Kai Lohmann (16' ×2 Tipped ⚡), Zac Bailey (21' Tipped ⚡), Sam Draper (24'), Charlie Cameron (61' ×2 Tipped ⚡), Will Ashcroft (65' ×2), Cam Rayner (72')

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

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Brisbane Lions | 66% | Lost |
| Carlton | 34% | Won |

Model call: **Missed** · Margin: 17.6 predicted → 76 actual · Markets hit: 1/4

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

### Full-Time Report

**Carlton Blues vs Brisbane Lions Prediction & Tips | AFL Round 21 2026**

_By Ben Dunlop · Published: 30 July 2026, 06:55 pm · Last updated: 1 Aug 2026, 10:32 pm_

Carlton 154–78 Brisbane Lions in AFL Round 21 at Marvel Stadium. Here's how the result stacked up against the model's call, with the win-probability story and where the value landed.

Carlton overwhelmed the Brisbane Lions at Marvel Stadium with a commanding 154–78 victory. The scoreboard pressure was evident from the start. Carlton led by a slim margin of 39–35 at quarter time, but by half-time, they had extended their lead to 79–61. The third quarter saw Carlton further stretch their advantage to 117–75, effectively putting the game out of reach for the Lions. The final term was a formality as Carlton sealed the win with a 76-point margin.

Carlton's midfield dominance was a key factor in their victory. Despite Brisbane's higher pre-match midfield strength rating, Carlton outperformed them in clearances, winning 43 to 33. This midfield control was reflected in their disposal count, with Carlton amassing 408 disposals compared to Brisbane's 338. Carlton's disposal efficiency was also superior, hitting targets at 82.6%.

The Blues' forward pressure was relentless. They went inside 50 a total of 62 times, compared to Brisbane's 49. Once inside, Carlton capitalised on their opportunities, marking 20 times to the Lions' 8. This efficiency in the forward line was crucial, as it allowed Carlton to convert their midfield dominance into scoreboard pressure.

Brisbane's ruck division did manage to win the hit-out battle, with 47 to Carlton's 24. However, the Lions failed to make the most of this advantage, as the ball often ended up back in Carlton's hands. Intercepts were nearly even, with Carlton recording 56 to Brisbane's 55, showcasing a strong defensive effort from the Blues.

Alphr’s model had predicted a Brisbane Lions victory with a 66% chance and a margin of 17.6 points. Carlton defied these expectations, turning the tables with a comprehensive win. The model also underestimated the total score, predicting 169 points, while the actual combined score was a high 232 points.

Brisbane entered the match on a five-game winning streak, averaging 123.4 points per game. However, they struggled to replicate this form against a determined Carlton side. The Blues, who had won three of their last five games, delivered a statement performance that belied their recent inconsistency.

Both teams were lacklustre in tackling, with Brisbane making 39 tackles to Carlton's 38. This lack of defensive pressure contributed to the high-scoring affair, as both sides found it easier to move the ball forward. Carlton's superior ball use and attacking cohesion ultimately proved decisive.

In the end, Carlton's cohesive, high-pressure football was too much for the Lions. The Blues demonstrated their potential to surprise, while Brisbane was left to reflect on a performance that fell short of their recent standards. Carlton fans will view this as a well-executed plan, while the Lions will need to regroup and address their shortcomings.

**Scoring by Quarter**

| Team | Q1 | Q2 | Q3 | Q4 | T |
|---|---|---|---|---|---|
| Carlton | 39 | 40 | 38 | 37 | 154 |
| Brisbane Lions | 35 | 26 | 14 | 3 | 78 |

**Key Match Stats**

| Carlton | Stat | Brisbane Lions |
|---|---|---|
| **408** | Disposals | 338 |
| **124** | Contested poss. | 114 |
| **43** | Clearances | 33 |
| **62** | Inside 50s | 49 |
| **125** | Marks | 92 |
| **20** | Marks inside 50 | 8 |
| 38 | Tackles | **39** |
| 24 | Hit-outs | **47** |
| **56** | Intercepts | 55 |
| **82.6%** | Disposal eff. | 77.5% |

**Model Report Card**

Carlton defied the model's 66% prediction for Brisbane Lions, a notable upset. The margin model missed here, predicting 17.6 but the actual margin was 76 points. The game's 232 points came in 64 points higher than the predicted 169. Carlton led 79–61 at the break and pulled away in the second half to win by 76. The model went 1/4 on this match. Carlton covered the 25.5-point line.

_Official AFL match stats · Generated by Alphr's model_

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

- **Head to Head:** Brisbane Lions to win @ $1.26 (edge -13.6%) — model probability 65.7% — result: LOST
- **Line / Spread:** Carlton +25.5 @ $1.90 (edge +7.9%) — result: WON
- **Margin Band:** Brisbane Lions 1-39 @ $3.30 (edge +0.0%) — result: LOST
- **Total (Over/Under):** Under 182.5 @ $1.89 (edge +2.1%) — result: LOST
- Predicted margin: Brisbane Lions by 18 · Predicted total: 169

### Match Preview (pre-match read)

The model is firm on Brisbane Lions here: 66% to see off Carlton. The heaviest factor is the ratings gap: Brisbane Lions sit 302 ELO points clear, 1757 to 1456. Form leans Brisbane Lions' way: 5 from their last 5, against 3 for Carlton.

Brisbane Lions own the matchup too, leading 5 of 7 factors including ELO Rating, Lineup Strength and Recent Form. The margin model has Brisbane Lions by 17.6, with the two sides combining for about 169. Brisbane Lions to win, and win clearly. The model isn't hedging.

_Pre-match read · Alphr model_

### Recent Form (Last 5)

| Carlton | Stat | Brisbane Lions |
|---|---|---|
| 3.0 | Wins (Last 5) | 5.0 |
| 81.8pts | Avg Score | 123.4pts |
| 85.2pts | Avg Conceded | 75.8pts |
| -3.4pts | Avg Margin | 47.6pts |
| 391.8 | Disposals | 386.8 |
| 50.0 | Inside 50s | 50.0 |
| 61.8 | Tackles | 52.0 |
| 37.8 | Clearances | 42.0 |

### Form & History

_Last 5 games, oldest → newest._

| Team | Last 5 | Avg Pts |
|---|---|---|
| Carlton | R16 W · R17 W · R18 L · R19 L · R20 W | 81.8 |
| Brisbane Lions | R16 W · R17 W · R18 W · R19 W · R20 W | 123.4 |

### Positional Matchup

_Season-to-date production per game with league-wide attack/defence tiers (18 teams)._

**Forwards** (Key Forwards · Med/Mid Forwards)

|  | Carlton | Brisbane Lions |
|---|---|---|
| Attack rank | 12th | 1st (strong) |
| Defence rank | 7th | 14th (weak) |
| Goals scored · conceded | 157 · 160 | 222 · 177 |
| Goal Assists | 3.6/g | 5.7/g |
| Disposals | 104/g | 92/g |
| Inside 50s | 18.7/g | 19.7/g |
| Marks Inside 50 | 9.1/g | 9.8/g |
| Disposal Efficiency | 68.6% | 65.5% |

**Midfield & Ruck** (Midfielders · Rucks)

|  | Carlton | Brisbane Lions |
|---|---|---|
| Attack rank | 13th (weak) | 6th (strong) |
| Defence rank | 14th (weak) | 10th |
| Goals scored · conceded | 53 · 66 | 66 · 58 |
| Goal Assists | 2.7/g | 4.3/g |
| Disposals | 142/g | 168/g |
| Inside 50s | 19.5/g | 26.6/g |
| Marks Inside 50 | 2.1/g | 3.6/g |
| Disposal Efficiency | 70.5% | 68.4% |

**Defenders** (Key & Medium Defenders)

|  | Carlton | Brisbane Lions |
|---|---|---|
| Attack rank | 14th (weak) | 13th (weak) |
| Defence rank | 15th (weak) | 5th (strong) |
| Goals scored · conceded | 9 · 18 | 10 · 10 |
| Goal Assists | 1.2/g | 1.3/g |
| Disposals | 137/g | 117/g |
| Inside 50s | 13.5/g | 12/g |
| Marks Inside 50 | 0.6/g | 0.4/g |
| Disposal Efficiency | 76.8% | 81.2% |

**Who scores on Brisbane Lions** — Key Forwards 3.78/g (lg 3.85) -2% · Rucks 0.51/g (lg 0.52) -2% · Forwards 4.25/g (lg 4.45) -4%
**Who scores on Carlton** — Rucks 0.65/g (lg 0.52) +25% · Defenders 1.29/g (lg 1.07) +21% · Forwards 4.61/g (lg 4.45) +4%

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

### Goal Scorer History — Who Kicks The Goals

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

**Carlton** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | Goal % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Mitch McGovern | KF | 30 in 19g | 11/10g (0·2·0·0·0·2·1·2·2·2) | 7/11g | 23/38g | 52% | ⚡ Anytime Goal $1.18 AI 68% ✓ Scored | 🏉 98' |
| – | Brodie Kemp | KF | 25 in 19g | 11/10g (1·2·2·2·1·0·2·0·1·0) | 0/4g | 13/21g | 52% | ⚡ Anytime Goal $1.32 AI 65% ✓ Scored | 🏉 28' 31' 42' 47' |
| – | Harry McKay | KF | 22 in 17g | 14/10g (3·2·1·0·3·1·3·1·0·0) | 23/10g | 100/48g | 80% | — | 🏉 86' 95' |
| – | Ben Ainsworth | FWD | 20 in 19g | 9/10g (1·0·0·1·1·1·1·1·2·1) | 19/18g | 21/27g | 72% | — | 🏉 70' |
| – | Will Hayward | FWD | 18 in 18g | 12/10g (0·2·3·1·2·1·0·0·0·3) | 17/11g | 45/32g | 68% | ⚡ Anytime Goal $1.38 AI 72% ✓ Scored | 🏉 52' |
| – | Francis Evans | FWD | 13 in 17g | 9/10g (0·1·0·0·3·2·1·0·0·2) | 2/3g | 11/9g | 50% | — | 🏉 23' |
| – | Patrick Cripps | MID | 13 in 19g | 9/10g (2·1·1·0·0·1·1·0·2·1) | 14/15g | 52/76g | 54% | — | — |
| – | George Hewett | MID | 12 in 15g | 11/10g (0·1·1·1·1·2·2·0·0·3) | 5/11g | 17/47g | 46% | — | 🏉 90' |
| – | Talor Byrne | FWD | 12 in 14g | 11/10g (0·1·1·2·0·3·0·1·0·3) | 0/0g | 6/3g | 54% | ⚡ Anytime Goal $1.53 AI 63% ✓ Scored | 🏉 86' |
| – | Marc Pittonet | RUC | 6 in 16g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 4/8g | 6/24g | 16% | — | 🏉 9' |
| – | Jagga Smith | MID | 5 in 19g | 2/10g (0·0·0·0·0·1·0·0·1·0) | 1/1g | 2/5g | 24% | — | 🏉 56' 79' |
| – | Sam Walsh | MID | 5 in 19g | 3/10g (0·1·0·0·1·0·0·0·1·0) | 1/8g | 11/47g | 22% | — | 🏉 88' |
| – | Adam Cerra | DEF | 4 in 16g | 3/10g (0·0·1·0·0·0·1·1·0·0) | 3/11g | 8/33g | 24% | — | — |
| – | Matthew Cottrell | FWD | 4 in 8g | 4/10g (0·0·0·0·2·1·0·0·1·0) | 2/4g | 12/26g | 46% | — | 🏉 49' |
| – | Cooper Lord | MID | 1 in 5g | 1/10g (0·0·0·0·0·0·1·0·0·0) | 0/1g | 3/7g | 16% | — | — |
| – | Lewis Young | DEF | 1 in 9g | 1/10g (0·0·0·0·0·0·0·0·0·1) | 0/8g | 6/32g | 14% | — | 🏉 13' |
| – | Oliver Florent | DEF | 1 in 19g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 2/12g | 10/30g | 10% | — | 🏉 77' |
| – | Billy Wilson | DEF | 0 in 11g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/1g | 0/5g | 0% | — | — |
| – | Blake Acres | MID | 0 in 6g | 1/10g (1·0·0·0·0·0·0·0·0·0) | 3/11g | 28/73g | 28% | — | 🏉 83' |
| – | Harry Dean | DEF | 0 in 16g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/1g | 0/4g | 0% | — | 🏉 59' |
| – | Lachlan Cowan | DEF | 0 in 18g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/3g | 0/18g | 2% | — | — |
| – | Nick Haynes | DEF | 0 in 15g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 2/13g | 1/31g | 0% | — | — |
| – | Wade Derksen | DEF | 0 in 10g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/0g | 0/3g | 0% | — | — |

**Brisbane Lions** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | Goal % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Logan Morris | KF | 47 in 18g | 26/10g (2·1·1·7·3·3·3·2·1·3) | 8/3g | 15/7g | 90% | ⚡ Anytime Goal $1.07 AI 87% ✗ No goal; 🎯 First Goal $10.00 AI 8% ✗ Not first | — |
| – | Charlie Cameron | FWD | 41 in 19g | 21/10g (3·2·2·2·1·2·2·2·2·3) | 23/13g | 49/25g | 82% | ⚡ Anytime Goal $1.11 AI 82% ✓ Scored; 🎯 First Goal $12.00 AI 6% ✗ Not first | 🏉 61' 89' |
| – | Kai Lohmann | FWD | 39 in 19g | 21/10g (0·3·0·0·1·2·5·3·4·3) | 5/4g | 10/8g | 74% | ⚡ Anytime Goal $1.12 AI 79% ✓ Scored; 🎯 First Goal $12.00 AI 6% ✗ Not first | 🏉 16' 55' |
| – | Zac Bailey | FWD | 29 in 18g | 15/10g (1·0·1·0·2·2·3·2·1·3) | 11/9g | 28/18g | 78% | ⚡ Anytime Goal $1.14 AI 70% ✓ Scored | 🏉 21' |
| – | Cam Rayner | FWD | 21 in 19g | 11/10g (1·3·0·0·0·3·1·0·1·2) | 9/10g | 22/20g | 70% | — | 🏉 72' |
| – | Conor McKenna | FWD | 17 in 13g | 13/10g (1·2·0·1·2·2·2·2·1·0) | 2/8g | 10/36g | 42% | — | — |
| – | Oscar Allen | KF | 12 in 7g | 16/10g (4·0·0·1·1·2·3·3·1·1) | 4/7g | 20/12g | 74% | — | 🏉 11' |
| – | Sam Draper | RUC | 12 in 18g | 7/10g (1·0·1·1·0·1·0·2·0·1) | 3/3g | 19/25g | 58% | — | 🏉 24' |
| – | Will Ashcroft | MID | 12 in 19g | 9/10g (0·0·2·0·2·0·0·3·0·2) | 1/4g | 1/8g | 38% | — | 🏉 65' 66' |
| – | Levi Ashcroft | MID | 10 in 19g | 7/10g (1·0·1·0·0·1·1·2·1·0) | 3/2g | 2/4g | 44% | — | — |
| – | Darcy Fort | RUC | 7 in 18g | 4/10g (0·0·0·1·1·1·1·0·0·0) | 2/2g | 1/6g | 30% | — | — |
| – | Eric Hipwood | KF | 7 in 6g | 9/10g (1·0·1·0·2·1·0·2·1·1) | 18/12g | 44/23g | 70% | — | — |
| – | Hugh McCluggage | MID | 7 in 12g | 7/10g (1·2·1·1·0·0·0·1·0·1) | 6/12g | 16/25g | 52% | — | 🏉 7' |
| – | Bruce Reville | MID | 5 in 17g | 2/10g (1·0·0·0·0·0·1·0·0·0) | 0/1g | 2/5g | 24% | — | — |
| – | Lachie Neale | MID | 5 in 19g | 3/10g (0·1·0·0·1·0·0·0·1·0) | 11/18g | 19/34g | 28% | — | — |
| – | Jarrod Berry | MID | 3 in 14g | 2/10g (0·0·0·1·0·1·0·0·0·0) | 2/8g | 10/20g | 28% | — | — |
| – | Jaspa Fletcher | DEF | 3 in 19g | 1/10g (0·0·1·0·0·0·0·0·0·0) | 0/5g | 3/9g | 18% | — | — |
| – | Josh Dunkley | MID | 3 in 19g | 3/10g (0·0·0·0·1·0·1·1·0·0) | 1/11g | 38/66g | 22% | — | — |
| – | Keidean Coleman | DEF | 2 in 12g | 2/10g (1·0·1·0·0·0·0·0·0·0) | 1/6g | 3/7g | 12% | — | — |
| – | Darcy Wilmot | DEF | 1 in 19g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/6g | 1/11g | 10% | — | — |
| – | Harris Andrews | DEF | 0 in 16g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/13g | 0/30g | 0% | — | — |
| – | Noah Answerth | DEF | 0 in 11g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/5g | 0/11g | 2% | — | — |
| – | Ryan Lester | DEF | 0 in 15g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 7/15g | 9/33g | 2% | — | — |

### Player Props — Disposal Counts

_Bookmaker disposal lines vs our model's read. ⚡ = the validated under signal (model ≥10 points past the price) — everything else is market intel, not a tip. The ⚡ under signal's verified record: 57.7% of 1,278 flags in 2025._

**Carlton**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Sam Walsh ⚡ Under | 29.5 | $1.92 | 68% | 27 ✓ |
| Dayne Zorko ⚡ Under | 28.5 | $1.76 | 81% | — |
| Patrick Cripps | 28.5 | $1.87 | 63% | 18 ✓ |
| Jagga Smith ⚡ Under | 25.5 | $1.88 | 67% | 29 ✗ |
| George Hewett ⚡ Under | 24.5 | $1.87 | 71% | 33 ✗ |
| Oliver Florent ⚡ Under | 20.5 | $1.87 | 64% | 26 ✗ |
| Billy Wilson ⚡ Under | 20.5 | $1.87 | 72% | 18 ✓ |
| Blake Acres | 19.5 | $1.87 | 45% | 17 ✓ |
| Adam Cerra ⚡ Under | 19.5 | $1.87 | 64% | 21 ✗ |
| Cooper Lord | 19.5 | — | 56% | 24 ✗ |
| Lachlan Cowan ⚡ Under | 18.5 | $1.87 | 75% | 14 ✓ |
| Nick Haynes | 17.5 | — | 57% | 13 ✓ |
| Ben Ainsworth ⚡ Under | 17.5 | $2.00 | 61% | 17 ✓ |
| Cameron Rayner | 16.5 | $1.87 | — | — |

**Brisbane Lions**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Will Ashcroft ⚡ Under | 30.5 | $1.89 | 77% | 32 ✗ |
| Lachie Neale ⚡ Under | 29.5 | $1.87 | 64% | 26 ✓ |
| Darcy Wilmot ⚡ Under | 23.5 | $1.87 | 71% | 13 ✓ |
| Hugh McCluggage ⚡ Under | 23.5 | $1.87 | 82% | 18 ✓ |
| Jaspa Fletcher ⚡ Under | 21.5 | $1.87 | 74% | 22 ✗ |
| Zac Bailey ⚡ Under | 21.5 | $1.89 | 69% | 18 ✓ |
| Josh Dunkley | 21.5 | $1.87 | 62% | 25 ✗ |
| Levi Ashcroft | 18.5 | $1.87 | 50% | 11 ✓ |
| Bruce Reville ⚡ Under | 17.5 | $1.87 | 74% | 12 ✓ |
| Jarrod Berry | 17.5 | $1.87 | 58% | 18 ✗ |
| Keidean Coleman | 17.5 | — | 66% | 5 ✓ |
| Ryan Lester | 16.5 | — | 68% | 11 ✓ |
| Harris Andrews | 15.5 | — | 67% | 14 ✓ |
| Noah Answerth | 13.5 | — | 68% | 13 ✓ |

### Prediction Breakdown — Pure Alpha Model

**Team ELO Ratings** — Carlton 1456 · Brisbane Lions 1757 · ELO difference: 301 in favour of Brisbane Lions

**Positional Matchups** — lineup ELO by unit

| Unit | Carlton | Brisbane Lions | Edge |
|---|---|---|---|
| Midfield | 1289 (best 1340) | 1335 (best 1441) | Brisbane Lions +46 |
| Forwards | 1204 (best 1409) | 1248 (best 1439) | Brisbane Lions +44 |
| Defence | 1317 (best 1429) | 1139 (best 1315) | Carlton +178 |
| Ruck | 1022 (best 1022) | 1035 (best 1071) | Brisbane Lions +13 |

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

| # | Factor | Weight | Favours |
|---|---|---|---|
| 1 | ELO Rating | 43.5% | Brisbane Lions |
| 2 | Lineup Strength | 10.4% | Brisbane Lions |
| 3 | Stat Profile | 7.7% | Carlton |
| 4 | Recent Form | 7.3% | Brisbane Lions |
| 5 | Midfield | 6.7% | Brisbane Lions |
| 6 | Forward Line | 6.5% | Brisbane Lions |
| 7 | Ruck | 6.0% | — |

**Model Confidence: 66%** — Brisbane Lions predicted to win by 18 points · Predicted total: 169 pts

**Record:** 1/4 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: 2026-08-01 12:32 UTC (latest tip update)