# Geelong Cats v Gold Coast SUNS — AFL Round 14 2026 AI Prediction by Alphr

## Full Time: Geelong Cats 105 – 60 Gold Coast SUNS

_Geelong Cats toy with Gold Coast SUNS._

Half time: 51 – 23 · Alphr AI pre-game win probability: Geelong Cats 41% / Gold Coast SUNS 59% · GMHBA Stadium · Fri, 12 June, 07:40 pm AEST

**Goal Kickers** — Geelong Cats: Shannon Neale (23' ×2 Tipped ⚡), Oliver Wiltshire (25' ×3), Patrick Dangerfield (28'), Oliver Dempsey (38' ×2), Jeremy Cameron (50' ×3 Tipped ⚡), Oliver Henry (51' ×2 Tipped ⚡), Max Holmes (67') · Gold Coast SUNS: Ben King (9' ×3 1st Tipped 🎯), Jed Walter (18' Tipped ⚡), Leo Lombard (21'), Christian Petracca (75' Tipped ⚡), Matt Rowell (60'), Zeke Uwland (83')

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

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Gold Coast SUNS | 59% | Lost |
| Geelong Cats | 41% | Won |

Model call: **Missed** · Margin: 10.5 predicted → 45 actual · Markets hit: 0/4

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

### Full-Time Report

**Geelong Cats vs Gold Coast SUNS Prediction and Tips - AFL Round 14, 2026**

_By Ben Dunlop · Published: 11 June 2026, 07:32 pm · Last updated: 12 June 2026, 10:35 pm_

Geelong Cats 105–60 Gold Coast SUNS in AFL Round 14 at GMHBA Stadium. Here's how the result stacked up against the model's call, with the win-probability story and where the value landed.

Two very different ideas about how to play footy showed up at GMHBA Stadium, and only one of them left with the four points. Geelong Cats beat Gold Coast SUNS 105–60, a 45 point margin that had nothing to do with who held the ball more and everything to do with what each side did with it.

Gold Coast SUNS finished with 389 disposals to Geelong's 337. They out marked the home side 95 to 69, dominated the ruck 49 hit-outs to 39, and were the cleaner side inside their forward 50, with 14 marks there to Geelong's 10. On raw volume, it looks like a Gold Coast performance. It wasn't.

Geelong won the fight for first use, the contest that actually decides footy games. Contested possessions went their way 133 to 117, clearances 40 to 29, and inside 50s 62 to 47. That's the story in three numbers: Gold Coast moved the ball, Geelong won it back and went forward with it more often. Disposal efficiency was identical at 74.8 per cent apiece, so this wasn't a case of one side fumbling. Geelong just had more shots at goal.

The scoreboard backs it up. Geelong led 25–19 at quarter time, a manageable gap, before the second term blew it apart: 26 points to 4, taking the margin from six to 28 at the half. Gold Coast steadied a touch in the third, adding 16 to Geelong's 20, but the final quarter was another Geelong surge, 34 points to 21, and the margin only grew from there.

That pattern matters given the pre-match numbers. Gold Coast came in rated stronger everywhere it's measured, higher in midfield, forwards, defence and comfortably ahead in the ruck at 1341 to 1196. On paper that's a side built to control a game. On the day, Gold Coast's superior ruck reading translated into hit-outs and even into general possession, but not into the territory battle, and territory is what put points on the board.

Form lines told a different story than the ratings did. Geelong's last five reads showed an average winning margin of 23.4 points against Gold Coast's 7.4, despite both sides carrying identical 3-2 records and matching disposal, inside 50 and tackle numbers across that stretch. When it mattered, Geelong's habit of winning comfortably showed up again.

None of it went to script for Alphr's model, which had Gold Coast as 59 per cent favourites and picked a 10.5 point Geelong loss margin against Gold Coast, missing by 45 points in the wrong direction. The total was closer, 165 points played against a projected 182, but with all four picks missing, it's a clean loss for the model on paper. Wins and misses, all of it, and this one's filed firmly under misses.

**Scoring by Quarter**

| Team | Q1 | Q2 | Q3 | Q4 | T |
|---|---|---|---|---|---|
| Geelong Cats | 25 | 26 | 20 | 34 | 105 |
| Gold Coast SUNS | 19 | 4 | 16 | 21 | 60 |

**Key Match Stats**

| Geelong Cats | Stat | Gold Coast SUNS |
|---|---|---|
| 337 | Disposals | **389** |
| **133** | Contested poss. | 117 |
| **40** | Clearances | 29 |
| **62** | Inside 50s | 47 |
| 69 | Marks | **95** |
| 10 | Marks inside 50 | **14** |
| 62 | Tackles | **64** |
| 39 | Hit-outs | **49** |
| **67** | Intercepts | 64 |
| 74.8% | Disposal eff. | **74.8%** |

**Model Report Card**

Geelong Cats defied the model's 59% prediction for Gold Coast SUNS, a notable result. The margin model missed here, predicting 10.5 but the actual margin was 45 points. The game's 165 points came in 17 points lower than the predicted 182. Geelong Cats led 51–23 at the break and pulled away in the second half to win by 45. A tough result for the model, all 4 picks missed on this one.

_Official AFL match stats · Generated by Alphr's model_

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

- **Head to Head:** Gold Coast SUNS to win @ $3.82 (edge +32.8%) — model probability 58.9% — result: LOST
- **Line / Spread:** Gold Coast SUNS +24.5 @ $1.89 (edge +14.0%) — result: LOST
- **Margin Band:** Geelong Cats 1-39 @ $3.30 (edge +0.0%) — result: LOST
- **Total (Over/Under):** Over 177.5 @ $1.90 (edge +2.4%) — result: LOST
- Predicted margin: Geelong Cats by 11 · Predicted total: 182

### Match Preview (pre-match read)

Gold Coast SUNS are the call at 59%, but Geelong Cats stay live at 41%. The ratings say otherwise: Geelong Cats sit 241 ELO points clear, 1769 to 1528, so the model is backing Gold Coast SUNS against the ratings gap.

On paper Geelong Cats shade it, ahead on 4 of 7 factors including ELO Difference, Recent Win Rate and Scoring Form. The model still sides with Gold Coast SUNS, which says Midfield ELO and Forward Line ELO carry the most weight. The margin model has Geelong Cats by 10.5, with the two sides combining for about 182. Lean Gold Coast SUNS, but it shapes as a genuine contest.

_Pre-match read · Alphr model_

### Recent Form (Last 5)

| Geelong Cats | Stat | Gold Coast SUNS |
|---|---|---|
| 3.0 | Wins (Last 5) | 3.0 |
| 100.8pts | Avg Score | 90.0pts |
| 77.4pts | Avg Conceded | 82.6pts |
| 23.4pts | Avg Margin | 7.4pts |
| 350.0 | Disposals | 350.0 |
| 50.0 | Inside 50s | 50.0 |
| 60.0 | Tackles | 60.0 |
| 35.0 | Clearances | 35.0 |

### Form & History

_Last 5 games, oldest → newest._

| Team | Last 5 | Avg Pts |
|---|---|---|
| Geelong Cats | R9 W · R10 W · R11 W · R12 L · R13 L | 100.8 |
| Gold Coast SUNS | R8 W · R9 W · R10 W · R11 L · R13 L | 90.0 |

### H2H History (Last 5) — Gold Coast SUNS lead 3-2

| Season | Round | Home | Score | Away |
|---|---|---|---|---|
| 2026 | OR | Gold Coast SUNS | 125 – 69 | Geelong Cats |
| 2025 | R13 | Geelong Cats | 61 – 37 | Gold Coast SUNS |
| 2024 | R10 | Gold Coast SUNS | 164 – 100 | Geelong Cats |
| 2023 | R3 | Gold Coast SUNS | 73 – 54 | Geelong Cats |
| 2022 | R22 | Gold Coast SUNS | 59 – 119 | Geelong Cats |

### Positional Matchup

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

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

|  | Geelong Cats | Gold Coast SUNS |
|---|---|---|
| Attack rank | 7th | 4th (strong) |
| Defence rank | 10th | 8th |
| Goals scored · conceded | 135 · 116 | 128 · 101 |
| Goal Assists | 4.8/g | 6.1/g |
| Disposals | 98/g | 126/g |
| Inside 50s | 20.2/g | 24.8/g |
| Marks Inside 50 | 10.7/g | 9.9/g |
| Disposal Efficiency | 64.3% | 67.8% |

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

|  | Geelong Cats | Gold Coast SUNS |
|---|---|---|
| Attack rank | 12th | 15th (weak) |
| Defence rank | 1st (strong) | 5th (strong) |
| Goals scored · conceded | 35 · 29 | 26 · 32 |
| Goal Assists | 4/g | 2.5/g |
| Disposals | 148/g | 93/g |
| Inside 50s | 25.4/g | 17.1/g |
| Marks Inside 50 | 1.8/g | 1.5/g |
| Disposal Efficiency | 72.4% | 71.1% |

**Defenders** (Key & Medium Defenders)

|  | Geelong Cats | Gold Coast SUNS |
|---|---|---|
| Attack rank | 3rd (strong) | 1st (strong) |
| Defence rank | 6th (strong) | 17th (weak) |
| Goals scored · conceded | 18 · 9 | 19 · 15 |
| Goal Assists | 1.5/g | 2/g |
| Disposals | 135/g | 149/g |
| Inside 50s | 12.4/g | 14.6/g |
| Marks Inside 50 | 0.8/g | 0.5/g |
| Disposal Efficiency | 78.3% | 83.8% |

**Who scores on Gold Coast SUNS** — Defenders 1.18/g (lg 1.13) +4% · Forwards 4.5/g (lg 4.46) +1% · Midfielders 2.45/g (lg 2.48) -1%
**Who scores on Geelong Cats** — Key Forwards 3.94/g (lg 3.83) +3% · Forwards 4.27/g (lg 4.46) -4% · Midfielders 2.17/g (lg 2.48) -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 GMHBA 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._

**Geelong Cats** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | Goal % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Jeremy Cameron | KF | 34 in 12g | 31/10g (1·3·10·3·3·1·3·3·4·0) | 66/18g | 141/49g | 88% | ⚡ Anytime Goal $1.01 AI 95% ✓ Scored; 🎯 First Goal $7.00 AI 11% ✗ Not first | 🏉 50' 56' 78' |
| – | Shannon Neale | KF | 23 in 13g | 17/10g (4·2·1·2·3·2·2·0·0·1) | 3/3g | 39/23g | 78% | ⚡ Anytime Goal $1.04 AI 81% ✓ Scored; 🎯 First Goal $8.50 AI 6% ✗ Not first | 🏉 23' 77' |
| – | Oliver Henry | FWD | 21 in 12g | 18/10g (3·2·1·0·1·4·2·2·2·1) | 5/4g | 40/28g | 78% | ⚡ Anytime Goal $1.17 AI 81% ✓ Scored | 🏉 51' 85' |
| – | Shaun Mannagh | FWD | 21 in 13g | 16/10g (0·0·0·1·4·3·5·1·1·1) | 1/2g | 24/19g | 74% | ⚡ Anytime Goal $1.28 AI 76% ✗ No goal | — |
| – | Jack Martin | FWD | 14 in 11g | 14/10g (1·3·1·1·1·2·2·0·1·2) | 3/7g | 18/13g | 74% | ⚡ Anytime Goal $1.23 AI 71% ✗ No goal | — |
| – | Oliver Dempsey | MID | 13 in 13g | 7/10g (1·0·1·0·1·1·0·0·2·1) | 5/3g | 24/28g | 72% | — | 🏉 38' 75' |
| – | Patrick Dangerfield | FWD | 11 in 9g | 11/10g (0·1·2·1·1·2·1·1·1·1) | 17/14g | 79/74g | 78% | — | 🏉 28' |
| – | Bailey Smith | MID | 6 in 13g | 5/10g (0·1·1·0·0·0·2·1·0·0) | 3/7g | 4/16g | 36% | — | — |
| – | Jack Henry | DEF | 5 in 9g | 5/10g (0·0·1·0·0·0·0·1·2·1) | 0/9g | 15/63g | 16% | — | — |
| – | Lawson Humphries | DEF | 3 in 12g | 3/10g (0·0·0·1·0·1·0·0·1·0) | 1/2g | 5/18g | 20% | — | — |
| – | Mark O'Connor | DEF | 3 in 11g | 3/10g (0·0·3·0·0·0·0·0·0·0) | 0/8g | 4/55g | 6% | — | — |
| – | Max Holmes | MID | 3 in 13g | 2/10g (0·0·0·0·2·0·0·0·0·0) | 3/5g | 18/43g | 30% | — | 🏉 67' |
| – | Oliver Wiltshire | FWD | 2 in 5g | 3/7g (0·1·0·1·1·0·0) | 0/0g | 0/2g | 43% | — | 🏉 25' 79' 90' |
| – | Connor O'Sullivan | DEF | 1 in 13g | 1/10g (0·0·0·0·0·0·0·1·0·0) | 0/2g | 1/15g | 4% | — | — |
| – | Jake Kolodjashnij | DEF | 1 in 7g | 1/10g (0·0·0·0·1·0·0·0·0·0) | 0/8g | 4/72g | 6% | — | — |
| – | Mark Blicavs | MID | 1 in 10g | 1/10g (0·0·0·1·0·0·0·0·0·0) | 6/15g | 22/100g | 26% | — | — |
| – | Oisin Mullin | MID | 1 in 13g | 1/10g (0·0·0·0·0·0·1·0·0·0) | 0/3g | 0/22g | 8% | — | — |
| – | Sam De Koning | DEF | 1 in 12g | 1/10g (0·0·1·0·0·0·0·0·0·0) | 0/4g | 4/38g | 12% | — | — |
| – | Tom Atkins | MID | 1 in 13g | 1/10g (0·0·0·0·0·0·0·1·0·0) | 2/7g | 11/57g | 14% | — | — |
| – | Zach Guthrie | DEF | 1 in 13g | 1/10g (0·0·0·0·1·0·0·0·0·0) | 0/6g | 6/50g | 6% | — | — |
| – | George Stevens | MID | no games | 1/2g (1·0) | 0/0g | 1/1g | 50% | — | — |
| – | Mitchell Edwards | RUC | 0 in 10g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/0g | 0/5g | 0% | — | — |
| – | Tanner Bruhn | DEF | 0 in 12g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/4g | 7/18g | 14% | — | — |

**Gold Coast SUNS** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | Goal % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Ben King | KF | 38 in 12g | 29/10g (7·3·2·3·2·2·4·1·1·4) | 16/7g | 7/4g | 98% | ⚡ Anytime Goal $1.01 AI 90% ✓ Scored; 🎯 First Goal $8.00 AI 9% ✓ Scored first | 🏉 9' 69' 81' |
| – | Christian Petracca | FWD | 16 in 10g | 16/10g (3·4·0·3·0·2·1·1·1·1) | 16/15g | 7/7g | 70% | ⚡ Anytime Goal $1.44 AI 70% ✓ Scored | 🏉 75' |
| – | Ben Long | FWD | 15 in 11g | 13/10g (1·1·0·3·2·2·0·0·2·2) | 10/11g | 5/4g | 78% | — | — |
| – | Jed Walter | KF | 14 in 7g | 16/10g (1·0·1·2·2·2·0·3·3·2) | 1/1g | 1/1g | 70% | ⚡ Anytime Goal $1.17 AI 72% ✓ Scored | 🏉 18' |
| – | Bailey Humphrey | FWD | 8 in 9g | 8/10g (0·4·0·0·2·0·1·0·1·0) | 10/3g | 1/1g | 48% | — | — |
| – | John Noble | DEF | 7 in 12g | 5/10g (1·0·0·0·0·1·1·1·1·0) | 2/11g | 0/1g | 28% | — | — |
| – | Leonardo Lombard | FWD | 6 in 12g | 2/10g (0·0·0·0·0·0·1·1·0·0) | 2/2g | 0/1g | 27% | — | 🏉 21' |
| – | Touk Miller | FWD | 6 in 12g | 4/10g (1·0·0·1·0·0·1·0·1·0) | 5/12g | 2/7g | 42% | — | — |
| – | Zeke Uwland | MID | 5 in 9g | 5/9g (0·0·0·2·0·1·0·1·1) | 0/1g | 0/0g | 44% | — | 🏉 83' |
| – | Joel Jeffrey | DEF | 4 in 11g | 4/10g (0·1·1·0·0·1·0·1·0·0) | 2/4g | 1/2g | 26% | — | — |
| – | Ned Moyle | RUC | 4 in 5g | 5/10g (0·0·0·0·1·0·0·3·1·0) | 0/1g | 0/0g | 25% | — | — |
| – | Noah Anderson | MID | 4 in 11g | 3/10g (1·0·0·0·0·1·0·0·1·0) | 5/7g | 0/4g | 34% | — | — |
| – | Lachlan Gulbin | FWD | 3 in 7g | 3/8g (0·1·0·0·0·1·1·0) | 0/0g | 0/0g | 38% | — | — |
| – | Daniel Rioli | DEF | 2 in 12g | 1/10g (0·0·0·0·0·0·1·0·0·0) | 7/16g | 1/3g | 24% | — | — |
| – | Matt Rowell | MID | 2 in 7g | 5/10g (2·0·1·0·0·0·0·0·1·1) | 2/5g | 1/3g | 30% | — | 🏉 60' |
| – | Sam Clohesy | MID | 2 in 7g | 3/10g (0·1·0·0·1·1·0·0·0·0) | 0/3g | 0/1g | 24% | — | — |
| – | Bodhi Uwland | DEF | 1 in 12g | 1/10g (0·0·0·0·0·0·0·1·0·0) | 0/3g | 0/1g | 6% | — | — |
| – | Mac Andrew | DEF | 1 in 12g | 1/10g (0·0·0·0·0·0·0·0·0·1) | 0/4g | 0/1g | 16% | — | — |
| – | Ben Jepson | MID | 0 in 1g | 0/2g (0·0) | 0/0g | 0/0g | 0% | — | — |
| – | Charlie Ballard | DEF | 0 in 4g | 1/10g (0·0·0·0·1·0·0·0·0·0) | 1/6g | 0/3g | 4% | — | — |
| – | Jai Murray | MID | 0 in 1g | 0/1g (0) | 0/0g | 0/0g | 0% | — | — |
| – | Oscar Adams | DEF | 0 in 9g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/1g | 0/0g | 0% | — | — |
| – | Sam Collins | DEF | 0 in 12g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/8g | 0/4g | 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._

**Geelong Cats**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Bailey Smith ⚡ Under | 33.5 | $1.90 | 68% | 27 ✓ |
| Max Holmes ⚡ Under | 29.5 | $2.05 | 68% | 31 ✗ |
| Lawson Humphries ⚡ Under | 22.5 | $1.87 | 77% | 18 ✓ |
| Tanner Bruhn ⚡ Under | 21.5 | $1.88 | 71% | 11 ✓ |
| Zach Guthrie | 17.5 | $1.87 | 60% | 14 ✓ |
| Tom Atkins | 17.5 | $1.91 | 61% | 17 ✓ |
| Shaun Mannagh ⚡ Under | 17.5 | $1.90 | 70% | 17 ✓ |
| Oliver Dempsey | 17.5 | $1.91 | 47% | 20 ✗ |
| George Stevens | 17.5 | $1.87 | 37% | 11 ✓ |

**Gold Coast SUNS**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Noah Anderson | 26.5 | $1.91 | 45% | 29 ✗ |
| John Noble | 25.5 | $1.95 | 56% | 30 ✗ |
| Christian Petracca | 24.5 | $1.92 | 51% | 21 ✓ |
| Matt Rowell | 24.5 | $1.89 | 54% | 26 ✗ |
| Bodhi Uwland | 23.5 | $1.92 | 58% | 20 ✓ |
| Touk Miller | 23.5 | $1.91 | 53% | 25 ✗ |
| Daniel Rioli ⚡ Under | 21.5 | $1.88 | 66% | 27 ✗ |
| Mac Andrew | 14.5 | $1.85 | 38% | 11 ✓ |

### Prediction Breakdown — Pure Alpha Model

**Team ELO Ratings** — Geelong Cats 1769 · Gold Coast SUNS 1528 · ELO difference: 241 in favour of Geelong Cats

**Positional Matchups** — lineup ELO by unit

| Unit | Geelong Cats | Gold Coast SUNS | Edge |
|---|---|---|---|
| Midfield | 1207 (best 1478) | 1239 (best 1356) | Gold Coast SUNS +31 |
| Forwards | 947 (best 1298) | 982 (best 1221) | Gold Coast SUNS +35 |
| Defence | 1073 (best 1600) | 1141 (best 1314) | Gold Coast SUNS +68 |
| Ruck | 1196 (best 1235) | 1341 (best 1341) | Gold Coast SUNS +145 |

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

| # | Factor | Weight | Favours |
|---|---|---|---|
| 1 | ELO Difference | 14.0% | Geelong Cats |
| 2 | Midfield ELO | 11.0% | Gold Coast SUNS |
| 3 | Recent Win Rate | 10.0% | — |
| 4 | Forward Line ELO | 9.0% | Gold Coast SUNS |
| 5 | Defensive ELO | 8.0% | Gold Coast SUNS |
| 6 | Scoring Form | 8.0% | Geelong Cats |
| 7 | Venue Advantage | 7.0% | Geelong Cats |

**Model Confidence: 59%** — Gold Coast SUNS predicted to win by 11 points · Predicted total: 182 pts

**Record:** 0/4 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

---
Canonical URL: https://alphr.com.au/afl/match/2026-r14-geelong-cats-v-gold-coast-suns
RSS feed: https://alphr.com.au/feed.xml
Prediction JSON API: today https://alphr.com.au/api/predictions/today · this week https://alphr.com.au/api/predictions/weekly
Markdown view for AI agents. Machine-readable index: https://alphr.com.au/llms.txt · full reference: https://alphr.com.au/llms-full.txt
All predictions are published before kick-off and verified after full time. Free, no login. 18+ gamble responsibly (AU).
Last updated: 2026-06-12 12:35 UTC (latest tip update)