# Brisbane Lions v Melbourne — AFL Round 10 2025 AI Prediction by Alphr

## Full Time: Brisbane Lions 88 – 99 Melbourne

_Melbourne rally to topple Brisbane Lions._

Half time: 55 – 42 · Alphr AI pre-game win probability: Brisbane Lions 95% / Melbourne 5% · Gabba · Sun, 18 May, 03:20 pm AEST

**Goal Kickers** — Brisbane Lions: Jaspa Fletcher (3' 1st), Hugh McCluggage (9'), Callum Ah Chee (11' Tipped ⚡), Logan Morris (24' ×2 Tipped ⚡), Eric Hipwood (31' Tipped ⚡), Darcy Gardiner (37' ×4), Zac Bailey (86' Tipped ⚡), Conor McKenna (87') · Melbourne: Kysaiah Pickett (13' ×2 Tipped ⚡), Tom McDonald (19'), Jake Melksham (45' ×3), Kade Chandler (48'), Trent Rivers (63'), Tom Sparrow (72'), Clayton Oliver (89'), Bayley Fritsch (77'), Aidan Johnson (81'), Ed Langdon (85')

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

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Brisbane Lions | 95% | Lost |
| Melbourne | 5% | Won |

Model call: **Missed** · Margin: 45.7 predicted → 11 actual · Markets hit: 1/3

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

### Full-Time Report

**Brisbane Lions vs Melbourne Demons Prediction & Tips | AFL Round 10 2025**

_By Ben Dunlop · Published: 24 Feb 2026, 10:45 pm_

Brisbane Lions 88–99 Melbourne in AFL Round 10 at Gabba. Here's how the result stacked up against the model's call, with the win-probability story and where the value landed.

Three-quarter time had Brisbane Lions up 81-67 at the Gabba, sitting on a lead that looked safe enough to bank. Then Melbourne scored 32 points to Brisbane's 7 in the last quarter and walked out with a 99-88 win. That's the whole story in one line, everything before it was just throat-clearing.

Go back through the quarters and Brisbane were cruising: 39-22 at the first break, 55-42 at half-time, still up 14 heading into the final term. Whatever Melbourne were doing for three quarters wasn't working. Then it clicked, all at once, and Brisbane had no answer.

The stat sheet tells you where it came from. Melbourne owned the ruck all day, 53 hit-outs to 17, and used that platform to win the clearance count 44-39 and contested possession 135-117. Brisbane's forward line had been the widely tipped edge coming in, rated 1036 to Melbourne's 988, but a dominant ruck and midfield can starve even a good forward line of the ball it needs.

Melbourne also just went at it more. 58 inside 50s to 53, and when the ball got there it stuck: 16 marks inside 50 against Brisbane's 11. Brisbane were the tidier side with ball in hand, 74.3% disposal efficiency to 68.2%, and actually had more total disposals, 383 to 370. None of that mattered once Melbourne started winning the ball back, 64 intercepts to 60, and controlling where the contest happened.

Form lines going in painted Melbourne as the side building momentum, two wins from their last five to Brisbane's 1.7-odd, and an average score near 90 points against Brisbane's high 84s. Brisbane had actually been the better net side across their last five on margin, plus-14.5 average against Melbourne's minus-3.5, which made the three-quarter-time lead look like business as usual rather than a lead under threat. It wasn't.

The model had this one nowhere near right. It rated Brisbane 1505 to Melbourne's 1543 pre-game but still expected Brisbane to win by 45.7, giving them a 95% chance. Instead Melbourne won by 11. A miss of that size doesn't happen often, and it's the kind of result that's worth owning rather than explaining away. The one thing the model did get right was the total: 176 points projected, 187 actual, comfortably over the 172.5 line.

For Brisbane, the concerning part isn't the scoreboard from three quarters, it's what happened when the contest turned physical. Getting out-hit-out 53-17 and out-clearanced by five is the kind of gap that eventually shows up on the ledger, and on this day it showed up in the only quarter that decided the game.

Melbourne came from three-quarter-time down 14 to win by 11. Whatever was said or adjusted at the last break, it worked, and the model's job now is to explain why a 95% read went the other way, not pretend it didn't happen.

**Scoring by Quarter**

| Team | Q1 | Q2 | Q3 | Q4 | T |
|---|---|---|---|---|---|
| Brisbane Lions | 39 | 16 | 26 | 7 | 88 |
| Melbourne | 22 | 20 | 25 | 32 | 99 |

**Key Match Stats**

| Brisbane Lions | Stat | Melbourne |
|---|---|---|
| **383** | Disposals | 370 |
| 117 | Contested poss. | **135** |
| 39 | Clearances | **44** |
| 53 | Inside 50s | **58** |
| 101 | Marks | **109** |
| 11 | Marks inside 50 | **16** |
| 39 | Tackles | **41** |
| 17 | Hit-outs | **53** |
| 60 | Intercepts | **64** |
| **74.3%** | Disposal eff. | 68.2% |

**Model Report Card**

Melbourne defied the model's 95% prediction for Brisbane Lions, a notable upset. The margin model missed here, predicting 45.7 but the actual margin was 11 points. Melbourne trailed 55–42 at half-time before staging a second-half comeback to win 88–99. The model went 1/3 on this match. The over 172.5 total call was correct.

_Official AFL match stats · Generated by Alphr's model_

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

- **Head to Head:** Brisbane Lions to win @ $1.14 (edge +7.0%) — model probability 94.7% — result: LOST
- **Line / Spread:** Brisbane Lions -33.5 @ $1.91 (edge +7.0%) — result: LOST
- **Total (Over/Under):** Over 172.5 @ $1.91 (edge +2.6%) — result: WON
- Predicted margin: Brisbane Lions by 46 · Predicted total: 176

### Positional Matchup

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

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

|  | Brisbane Lions | Melbourne |
|---|---|---|
| Attack rank | 6th (strong) | 17th (weak) |
| Defence rank | 8th | 16th (weak) |
| Goals scored · conceded | 81 · 70 | 50 · 84 |
| Goal Assists | 4/g | 2.9/g |
| Disposals | 81/g | 99/g |
| Inside 50s | 18.2/g | 20.4/g |
| Marks Inside 50 | 9.4/g | 4.9/g |
| Disposal Efficiency | 65.2% | 70.4% |

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

|  | Brisbane Lions | Melbourne |
|---|---|---|
| Attack rank | 8th | 4th (strong) |
| Defence rank | 1st (strong) | 8th |
| Goals scored · conceded | 27 · 18 | 34 · 27 |
| Goal Assists | 3.6/g | 2.7/g |
| Disposals | 163/g | 137/g |
| Inside 50s | 25.2/g | 21.4/g |
| Marks Inside 50 | 2.4/g | 2.9/g |
| Disposal Efficiency | 67.7% | 68.6% |

**Defenders** (Key & Medium Defenders)

|  | Brisbane Lions | Melbourne |
|---|---|---|
| Attack rank | 14th (weak) | 12th |
| Defence rank | 15th (weak) | 8th |
| Goals scored · conceded | 7 · 15 | 9 · 11 |
| Goal Assists | 1.2/g | 0.9/g |
| Disposals | 123/g | 133/g |
| Inside 50s | 12.4/g | 9.4/g |
| Marks Inside 50 | 0.1/g | 1.2/g |
| Disposal Efficiency | 79.9% | 81.3% |

**Who scores on Melbourne** — Rucks 0.72/g (lg 0.5) +44% · Defenders 1.32/g (lg 1.31) +1% · Midfielders 2.3/g (lg 2.38) -3%
**Who scores on Brisbane Lions** — Forwards 4.35/g (lg 4.45) -2% · Key Forwards 3.39/g (lg 3.59) -6% · Midfielders 2.1/g (lg 2.38) -12%

_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 Gabba. ⚡ = 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._

**Brisbane Lions** (team sheet)

| # | Player | Pos | 2025 | Last 10 | vs opp | Venue | Goal % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Eric Hipwood | KF | 19 in 9g | 20/10g (1·1·2·1·1·5·2·4·0·3) | 19/12g | 126/93g | 78% | ⚡ Anytime Goal $1.05 AI 87% ✓ Scored; 🎯 First Goal $9.75 AI 8% ✗ Not first | 🏉 31' |
| – | Zac Bailey | FWD | 16 in 9g | 16/10g (0·4·1·1·3·3·0·3·0·1) | 14/10g | 67/75g | 72% | ⚡ Anytime Goal $1.23 AI 79% ✓ Scored | 🏉 86' |
| – | Logan Morris | KF | 13 in 8g | 17/10g (2·2·1·3·1·2·4·0·2·0) | 0/1g | 15/11g | 76% | ⚡ Anytime Goal $1.14 AI 82% ✓ Scored; 🎯 First Goal $12.00 AI 7% ✗ Not first | 🏉 24' 26' |
| – | Callum Ah Chee | FWD | 12 in 9g | 16/10g (4·1·3·0·1·2·0·1·3·1) | 2/9g | 31/56g | 64% | ⚡ Anytime Goal $1.21 AI 75% ✓ Scored | 🏉 11' |
| – | Cam Rayner | FWD | 8 in 9g | 9/10g (1·0·0·1·0·2·2·0·0·3) | 5/10g | 71/74g | 54% | ⚡ Anytime Goal $1.31 AI 63% ✗ No goal | — |
| – | Charlie Cameron | FWD | 8 in 7g | 13/10g (2·2·1·1·3·0·0·0·3·1) | 28/16g | 162/83g | 82% | ⚡ Anytime Goal $1.11 AI 79% ✗ No goal | — |
| – | Lachie Neale | MID | 4 in 9g | 4/10g (0·0·1·0·0·0·0·3·0·0) | 9/18g | 36/75g | 24% | — | — |
| – | Levi Ashcroft | MID | 4 in 9g | 4/9g (0·0·1·1·1·0·0·0·1) | 0/0g | 1/4g | 44% | — | — |
| – | Dayne Zorko | DEF | 3 in 9g | 3/10g (0·2·0·1·0·0·0·0·0·0) | 16/18g | 130/145g | 24% | — | — |
| – | Hugh McCluggage | MID | 3 in 9g | 4/10g (1·0·0·0·2·0·0·1·0·0) | 8/13g | 63/95g | 42% | — | 🏉 9' |
| – | Will Ashcroft | MID | 3 in 9g | 4/10g (1·0·0·1·2·0·0·0·0·0) | 2/3g | 6/19g | 30% | — | — |
| – | Jaspa Fletcher | DEF | 2 in 9g | 2/10g (0·0·1·0·1·0·0·0·0·0) | 2/3g | 8/24g | 22% | — | 🏉 3' |
| – | Josh Dunkley | MID | 2 in 9g | 2/10g (0·1·1·0·0·0·0·0·0·0) | 2/9g | 4/33g | 20% | — | — |
| – | Conor McKenna | FWD | 1 in 3g | 1/10g (0·0·0·0·0·0·0·0·0·1) | 0/5g | 6/24g | 12% | — | 🏉 87' |
| – | Darcy Fort | RUC | 1 in 3g | 2/10g (0·0·0·0·0·1·0·1·0·0) | 2/3g | 5/13g | 33% | — | — |
| – | Darcy Gardiner | DEF | 1 in 3g | 4/10g (0·0·1·0·0·0·2·0·1·0) | 1/9g | 5/84g | 12% | — | 🏉 37' 52' 82' 97' |
| – | Darcy Wilmot | DEF | 1 in 9g | 1/10g (0·0·0·0·0·1·0·0·0·0) | 0/5g | 5/30g | 4% | — | — |
| – | Harris Andrews | DEF | 0 in 9g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/14g | 4/109g | 0% | — | — |
| – | Jack Payne | DEF | 0 in 8g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/6g | 1/36g | 0% | — | — |
| – | Kai Lohmann | FWD | 0 in 4g | 14/10g (2·3·2·2·1·4·0·0·0·0) | 2/2g | 16/18g | 55% | ⚡ Anytime Goal $1.25 AI 73% ✗ No goal | — |
| – | Keidean Coleman | DEF | no games | 1/10g (0·0·0·0·1·0·0·0·0·0) | 1/6g | 6/31g | 14% | — | — |
| – | Noah Answerth | DEF | 0 in 9g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/5g | 1/37g | 0% | — | — |
| – | Ryan Lester | DEF | 0 in 9g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 2/13g | 23/105g | 2% | — | — |

**Melbourne** (team sheet)

| # | Player | Pos | 2025 | Last 10 | vs opp | Venue | Goal % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Kysaiah Pickett | MID | 11 in 6g | 19/10g (2·4·0·2·0·2·5·1·1·2) | 21/8g | 11/5g | 82% | ⚡ Anytime Goal $1.23 AI 79% ✓ Scored; 🎯 First Goal $13.00 AI 6% ✗ Not first | 🏉 13' 76' |
| – | Christian Petracca | FWD | 10 in 9g | 10/10g (0·2·1·1·2·0·1·2·1·0) | 14/13g | 8/8g | 70% | — | — |
| – | Kade Chandler | FWD | 9 in 9g | 10/10g (1·0·3·1·0·0·2·2·1·0) | 3/3g | 2/2g | 58% | — | 🏉 48' |
| – | Bayley Fritsch | FWD | 7 in 8g | 8/10g (1·0·0·1·0·0·2·2·2·0) | 26/11g | 14/9g | 70% | — | 🏉 77' |
| – | Harrison Petty | KF | 7 in 8g | 10/10g (3·0·0·0·0·0·1·4·2·0) | 1/10g | 0/4g | 38% | — | — |
| – | Harvey Langford | MID | 7 in 8g | 7/8g (0·1·1·0·2·0·0·3) | 0/0g | 0/0g | 50% | — | — |
| – | Harry Sharp | FWD | 6 in 9g | 6/10g (0·1·0·2·0·1·0·0·1·1) | 0/0g | 3/9g | 40% | — | — |
| – | Daniel Turner | DEF | 5 in 5g | 10/10g (0·0·0·4·1·1·1·0·3·0) | 1/1g | 1/1g | 52% | — | — |
| – | Ed Langdon | MID | 5 in 9g | 5/10g (0·0·0·0·1·1·0·1·2·0) | 5/11g | 3/6g | 38% | — | 🏉 85' |
| – | Tom Sparrow | MID | 4 in 9g | 4/10g (0·1·0·0·0·1·0·1·0·1) | 3/9g | 1/5g | 32% | — | 🏉 72' |
| – | Caleb Windsor | FWD | 2 in 7g | 4/10g (1·1·0·1·0·0·0·0·1·0) | 0/2g | 0/1g | 39% | — | — |
| – | Jake Bowey | DEF | 2 in 9g | 2/10g (0·1·0·1·0·0·0·0·0·0) | 1/5g | 0/2g | 16% | — | — |
| – | Jake Melksham | FWD | 2 in 5g | 5/10g (1·0·0·2·0·1·0·0·0·1) | 10/12g | 5/8g | 62% | — | 🏉 45' 92' 75' |
| – | Aidan Johnson | RUC | 1 in 2g | 1/2g (1·0) | 0/0g | 0/0g | 50% | — | 🏉 81' |
| – | Charlie Spargo | FWD | 1 in 7g | 2/10g (1·0·0·0·0·0·0·0·1·0) | 3/7g | 7/5g | 32% | — | — |
| – | Clayton Oliver | MID | 1 in 8g | 1/10g (0·0·0·1·0·0·0·0·0·0) | 3/13g | 2/9g | 16% | — | 🏉 89' |
| – | Max Gawn | RUC | 1 in 9g | 1/10g (0·0·0·0·0·0·0·0·1·0) | 5/16g | 3/9g | 30% | — | — |
| – | Trent Rivers | DEF | 1 in 9g | 1/10g (0·0·0·0·0·0·1·0·0·0) | 0/8g | 2/4g | 8% | — | 🏉 63' |
| – | Christian Salem | DEF | 0 in 9g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/9g | 3/6g | 2% | — | — |
| – | Judd McVee | DEF | 0 in 3g | 1/10g (0·0·0·0·0·1·0·0·0·0) | 0/4g | 0/2g | 4% | — | — |
| – | Steven May | DEF | 0 in 6g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 6/22g | 5/13g | 2% | — | — |
| – | Tom McDonald | DEF | 0 in 9g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 7/13g | 8/8g | 16% | — | 🏉 19' |
| – | Xavier Lindsay | DEF | 0 in 8g | 0/8g (0·0·0·0·0·0·0·0) | 0/0g | 0/0g | 0% | — | — |

### 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._

**Brisbane Lions**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Dayne Zorko | 26.5 | $1.94 | 53% | 27 ✗ |
| Will Ashcroft | 26.5 | $1.83 | 53% | 30 ✗ |
| Hugh McCluggage | 26.5 | $1.87 | 63% | 28 ✗ |
| Lachie Neale | 26.5 | $1.91 | 45% | 30 ✗ |
| Josh Dunkley | 24.5 | $1.80 | 52% | 28 ✗ |
| Levi Ashcroft | 21.5 | $1.85 | 53% | 22 ✗ |
| Jaspa Fletcher ⚡ Under | 19.5 | $1.90 | 64% | 22 ✗ |
| Darcy Wilmot | 19.5 | $1.83 | 49% | 20 ✗ |

**Melbourne**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Christian Petracca | 24.5 | $1.87 | 62% | 31 ✗ |
| Jake Bowey ⚡ Under | 23.5 | $1.88 | 72% | 22 ✓ |
| Clayton Oliver | 23.5 | $1.91 | 50% | 23 ✓ |
| Trent Rivers ⚡ Under | 22.5 | $1.86 | 68% | 24 ✗ |
| Max Gawn ⚡ Under | 22.5 | $1.87 | 74% | 22 ✓ |
| Christian Salem | 20.5 | $1.78 | 47% | 20 ✓ |
| Ed Langdon | 20.5 | $1.87 | 53% | 25 ✗ |
| Harvey Langford | 19.5 | $1.91 | 59% | 19 ✓ |

**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: 2026-02-24 11:45 UTC (latest tip update)