# Geelong Cats v Essendon — AFL Round 22 2026 AI Prediction by Alphr

## Full Time: Geelong Cats 117 – 50 Essendon

_Geelong Cats run riot over Essendon._

Half time: 69 – 16 · Alphr AI pre-game win probability: Geelong Cats 94% / Essendon 6% · GMHBA Stadium · Sat, 08 Aug, 04:35 pm AEST

**Goal Kickers** — Geelong Cats: Oliver Dempsey (7' ×4 1st), Shannon Neale (9' ×3 Tipped ⚡), Oliver Henry (14' ×3 Tipped ⚡), Jay Polkinghorne (49' Tipped ⚡), Jack Martin (50' ×2 Tipped ⚡), Shaun Mannagh (88' Tipped ⚡), Jhye Clark (79'), Tanner Bruhn (92') · Essendon: Jacob Farrow (58' ×2), Archie Roberts (61'), Archie Perkins (67' ×2), Nate Caddy (74' Tipped ⚡), Hussien El Achkar (84')

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

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Geelong Cats | 94% | Won |
| Essendon | 6% | Lost |

Model call: **Correct** · Margin: 62.8 predicted → 67 actual · Markets hit: 3/4

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

### Full-Time Report

**Geelong Cats vs Essendon Bombers Prediction & Tips | AFL Round 22 2026**

_By Ben Dunlop · Published: 6 Aug 2026, 09:28 pm · Last updated: 8 Aug 2026, 07:41 pm_

Geelong Cats 117–50 Essendon in AFL Round 22 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.

Clearances set the tempo at GMHBA Stadium. Geelong Cats won this stat handily, taking 48 to Essendon's 36, paving the way for their 117–50 win. With that kind of control in midfield, it was always going to be a tough day for Essendon.

Geelong's dominance started with the basics. The Cats piled on 359 disposals to Essendon's 303. Their midfield, ranked higher pre-match with a score of 1326 to Essendon's 1215, lived up to expectations. Efficient ball use followed: Geelong operated at 71.3% disposal efficiency compared to Essendon's 66.7%. This clean handling turned potential opportunities into points.

Inside 50s can decide contests, and this match was no different. Geelong drove forward 55 times to Essendon's 44, making the most of their entries by marking inside 50 on 21 occasions. Essendon managed just ten such grabs. The potency of Geelong's forward line, rated 1110 against Essendon's 998, was clear as they converted well and often.

Despite winning the hit-out count 53 to 35, Essendon failed to turn ruck dominance into meaningful impact. It's a reminder that winning the taps doesn't always lead to controlling the game when the opposition's midfield is firing. Geelong's ability to shark the hit-outs and clear the ball proved more decisive.

Essendon's form leading into this clash didn't promise much. Averaging just 57.6 points in their last five games, they looked unlikely to pull off an upset. Defensively, they'd been leaking an average of 121.4 points. Geelong's clear strengths, evidenced by their form and on-paper ratings, were always likely to exploit this. The Cats' recent run of three straight wins contrasted sharply with Essendon's one in five.

By half-time, Geelong had the game well in hand, leading 69–16. Essendon couldn't muster a response that would threaten the outcome. The model had predicted Geelong to have a significant edge, setting a 62.8-point margin. The actual 67-point victory kept within this expectation, showing the model's accuracy. It wasn't just about the win; the total combined score prediction fell just one point from reality: 167 against an expected 168.

Defensively, Geelong's backline lived up to its higher rating of 1219 to 1177. An intercept count of 66 to 59 underscores their ability to cut off Essendon's forward forays. Essendon's efforts often fizzled out before becoming a genuine threat.

Alphr's model read the game well. The Cats to win with a 94% probability was a solid call, and the numbers backed it up. The margin band and total points predictions were on point too. In the end, it was a comprehensive victory for Geelong. Piling more pressure onto Essendon, who will need to regroup after another heavy defeat.

Geelong played to their strengths, and Essendon had few answers. Sometimes, the numbers don't lie.

**Scoring by Quarter**

| Team | Q1 | Q2 | Q3 | Q4 | T |
|---|---|---|---|---|---|
| Geelong Cats | 29 | 40 | 20 | 28 | 117 |
| Essendon | 4 | 12 | 27 | 7 | 50 |

**Key Match Stats**

| Geelong Cats | Stat | Essendon |
|---|---|---|
| **359** | Disposals | 303 |
| **140** | Contested poss. | 126 |
| **48** | Clearances | 36 |
| **55** | Inside 50s | 44 |
| **77** | Marks | 51 |
| **21** | Marks inside 50 | 10 |
| 70 | Tackles | **72** |
| 35 | Hit-outs | **53** |
| **66** | Intercepts | 59 |
| **71.3%** | Disposal eff. | 66.7% |

**Model Report Card**

Our model correctly predicted Geelong Cats to win at 94% probability. The predicted margin of 62.8 was reasonable against the actual 67-point result. Total score prediction of 168 was close to the actual 167, within 1 points. Geelong Cats led 69–16 at the break and pulled away in the second half to win by 67. The model went 3/4 on this match. The 40+ margin band call landed. The under 183.5 total call was correct.

_Official AFL match stats · Generated by Alphr's model_

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

- **Head to Head:** Geelong Cats to win @ $1.01 (edge -5.3%) — model probability 93.7% — result: WON
- **Line / Spread:** Essendon +64.5 @ $1.91 (edge +1.7%) — result: LOST
- **Margin Band:** Geelong Cats 40+ @ $3.30 (edge +0.0%) — result: WON
- **Total (Over/Under):** Under 183.5 @ $1.89 (edge +2.1%) — result: WON
- Predicted margin: Geelong Cats by 63 · Predicted total: 168

### Match Preview (pre-match read)

The model is firm on Geelong Cats here: 94% to see off Essendon. The heaviest factor is the ratings gap: Geelong Cats sit 671 ELO points clear, 1764 to 1094. Form leans Geelong Cats' way: 3 from their last 5, against 1 for Essendon.

Geelong Cats own the matchup too, leading 6 of 7 factors including ELO Rating, Forward Line and Recent Form. The margin model has Geelong Cats by 62.8, with the two sides combining for about 168. Geelong Cats to win, and win clearly. The model isn't hedging.

_Pre-match read · Alphr model_

### Recent Form (Last 5)

| Geelong Cats | Stat | Essendon |
|---|---|---|
| 3.0 | Wins (Last 5) | 1.0 |
| 98.0pts | Avg Score | 57.6pts |
| 90.6pts | Avg Conceded | 121.4pts |
| 7.4pts | Avg Margin | -63.8pts |
| 369.0 | Disposals | 330.8 |
| 50.0 | Inside 50s | 50.0 |
| 51.4 | Tackles | 52.4 |
| 38.4 | Clearances | 31.8 |

### Form & History

_Last 5 games, oldest → newest._

| Team | Last 5 | Avg Pts |
|---|---|---|
| Geelong Cats | R17 L · R18 L · R19 W · R20 W · R21 W | 98.0 |
| Essendon | R17 L · R18 L · R19 W · R20 L · R21 L | 57.6 |

### Positional Matchup

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

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

|  | Geelong Cats | Essendon |
|---|---|---|
| Attack rank | 4th (strong) | 18th (weak) |
| Defence rank | 10th | 18th (weak) |
| Goals scored · conceded | 213 · 181 | 106 · 215 |
| Goal Assists | 5.4/g | 2.7/g |
| Disposals | 97/g | 80/g |
| Inside 50s | 20/g | 14.8/g |
| Marks Inside 50 | 10.5/g | 5.2/g |
| Disposal Efficiency | 65.3% | 67.8% |

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

|  | Geelong Cats | Essendon |
|---|---|---|
| Attack rank | 12th | 7th |
| Defence rank | 2nd (strong) | 16th (weak) |
| Goals scored · conceded | 57 · 50 | 66 · 74 |
| Goal Assists | 3.7/g | 2.5/g |
| Disposals | 145/g | 128/g |
| Inside 50s | 26.4/g | 18/g |
| Marks Inside 50 | 2/g | 2.9/g |
| Disposal Efficiency | 71.4% | 74% |

**Defenders** (Key & Medium Defenders)

|  | Geelong Cats | Essendon |
|---|---|---|
| Attack rank | 5th (strong) | 2nd (strong) |
| Defence rank | 5th (strong) | 13th (weak) |
| Goals scored · conceded | 20 · 12 | 25 · 18 |
| Goal Assists | 1.6/g | 2.1/g |
| Disposals | 134/g | 147/g |
| Inside 50s | 12.6/g | 12.2/g |
| Marks Inside 50 | 0.9/g | 2/g |
| Disposal Efficiency | 78.8% | 78.7% |

**Who scores on Essendon** — Forwards 5.35/g (lg 4.47) +20% · Defenders 1.21/g (lg 1.07) +13% · Key Forwards 4.3/g (lg 3.87) +11%
**Who scores on Geelong Cats** — Key Forwards 3.93/g (lg 3.87) +2% · Forwards 4.37/g (lg 4.47) -2% · Midfielders 2.17/g (lg 2.49) -13%

_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 |
|---|---|---|---|---|---|---|---|---|---|
| – | Shannon Neale | KF | 38 in 20g | 16/10g (0·0·1·2·2·3·0·1·5·2) | 8/3g | 45/26g | 78% | ⚡ Anytime Goal $1.02 AI 83% ✓ Scored; 🎯 First Goal $7.50 AI 7% ✗ Not first | 🏉 9' 74' 86' |
| – | Oliver Henry | FWD | 35 in 19g | 19/10g (2·2·1·2·2·0·1·2·4·3) | 3/3g | 44/31g | 84% | ⚡ Anytime Goal $1.05 AI 85% ✓ Scored; 🎯 First Goal $9.00 AI 8% ✗ Not first | 🏉 14' 41' 70' |
| – | Shaun Mannagh | FWD | 28 in 20g | 10/10g (1·1·1·0·0·0·4·1·1·1) | 6/2g | 25/22g | 70% | ⚡ Anytime Goal $1.17 AI 69% ✓ Scored | 🏉 88' |
| – | Oliver Dempsey | MID | 24 in 20g | 14/10g (0·2·1·2·0·2·3·2·0·2) | 5/3g | 30/31g | 72% | — | 🏉 7' 28' 38' 45' |
| – | Jack Martin | FWD | 20 in 16g | 13/10g (2·2·0·1·2·0·3·2·0·1) | 9/10g | 20/15g | 72% | ⚡ Anytime Goal $1.15 AI 73% ✓ Scored | 🏉 50' 87' |
| – | Oliver Wiltshire | FWD | 13 in 12g | 12/10g (1·0·0·3·2·1·1·0·3·1) | 0/0g | 4/5g | 67% | ⚡ Anytime Goal $1.38 AI 68% ✗ No goal | — |
| – | Brad Close | FWD | 9 in 13g | 9/10g (2·1·0·2·1·2·0·0·1·0) | 8/8g | 48/48g | 58% | — | — |
| – | Bailey Smith | MID | 8 in 19g | 5/10g (2·1·0·0·0·0·1·1·0·0) | 3/8g | 5/19g | 36% | — | — |
| – | Jay Polkinghorne | KF | 7 in 3g | 7/3g (2·2·3) | 0/0g | 2/1g | 100% | ⚡ Anytime Goal $1.03 AI 85% ✓ Scored; 🎯 First Goal $8.25 AI 8% ✗ Not first | 🏉 49' |
| – | Jack Henry | DEF | 6 in 16g | 5/10g (1·2·1·0·1·0·0·0·0·0) | 0/9g | 15/66g | 18% | — | — |
| – | Gryan Miers | FWD | 4 in 12g | 4/10g (0·0·0·0·0·0·0·3·0·1) | 9/8g | 45/58g | 38% | — | — |
| – | James Worpel | MID | 4 in 9g | 4/10g (0·0·1·0·1·1·0·1·0·0) | 3/8g | 3/5g | 30% | — | — |
| – | Mark O'Connor | DEF | 4 in 17g | 1/10g (0·0·0·0·0·0·0·0·1·0) | 1/8g | 4/58g | 8% | — | — |
| – | Tom Atkins | MID | 4 in 20g | 4/10g (1·0·0·1·0·0·0·1·1·0) | 0/9g | 13/60g | 24% | — | — |
| – | Lawson Humphries | DEF | 3 in 19g | 1/10g (0·1·0·0·0·0·0·0·0·0) | 1/3g | 5/21g | 16% | — | — |
| – | Oisin Mullin | MID | 3 in 20g | 2/10g (0·0·0·0·1·1·0·0·0·0) | 0/3g | 1/25g | 14% | — | — |
| – | Jhye Clark | DEF | 2 in 6g | 2/10g (0·0·0·0·1·1·0·0·0·0) | 0/2g | 1/11g | 17% | — | 🏉 79' |
| – | Mark Blicavs | MID | 2 in 16g | 1/10g (0·0·0·0·0·0·0·0·0·1) | 10/16g | 22/102g | 26% | — | — |
| – | Connor O'Sullivan | DEF | 1 in 20g | 1/10g (1·0·0·0·0·0·0·0·0·0) | 0/2g | 1/18g | 4% | — | — |
| – | Sam De Koning | DEF | 1 in 17g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/6g | 4/41g | 8% | — | — |
| – | Tom Stewart | DEF | 1 in 18g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/11g | 3/74g | 4% | — | — |
| – | Zach Guthrie | DEF | 1 in 20g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/8g | 6/53g | 2% | — | — |
| – | Tanner Bruhn | DEF | 0 in 18g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 5/5g | 7/20g | 10% | — | 🏉 92' |

**Essendon** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | Goal % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Nate Caddy | KF | 36 in 19g | 17/10g (2·2·1·1·2·3·2·0·3·1) | 0/1g | 0/0g | 80% | ⚡ Anytime Goal $1.13 AI 79% ✓ Scored | 🏉 74' |
| – | Peter Wright | RUC | 24 in 15g | 19/10g (1·0·2·3·0·1·3·1·2·6) | 10/9g | 2/5g | 74% | ⚡ Anytime Goal $1.14 AI 81% ✗ No goal | — |
| – | Hussien El Achkar | FWD | 9 in 8g | 9/8g (1·0·2·1·2·1·0·2) | 0/0g | 0/0g | 75% | — | 🏉 84' |
| – | Sam Durham | MID | 9 in 19g | 4/10g (0·0·1·0·2·0·1·0·0·0) | 0/4g | 1/3g | 34% | — | — |
| – | Zach Merrett | MID | 9 in 20g | 4/10g (1·1·0·0·1·0·0·1·0·0) | 4/15g | 2/4g | 30% | — | — |
| – | Isaac Kako | FWD | 8 in 12g | 6/10g (0·2·2·1·0·0·1·0·0·0) | 1/2g | 0/1g | 51% | — | — |
| – | Archer Day-Wicks | FWD | 6 in 18g | 3/10g (0·2·0·0·0·1·0·0·0·0) | 0/1g | 0/0g | 21% | — | — |
| – | Jye Caldwell | MID | 6 in 14g | 2/10g (0·1·0·0·0·1·0·0·0·0) | 3/5g | 0/1g | 38% | — | — |
| – | Kyle Langford | DEF | 4 in 16g | 3/10g (2·1·0·0·0·0·0·0·0·0) | 2/9g | 1/2g | 44% | — | — |
| – | Archie Perkins | FWD | 3 in 13g | 1/10g (0·1·0·0·0·0·0·0·0·0) | 0/7g | 1/4g | 34% | — | 🏉 67' 63' |
| – | Dyson Sharp | FWD | 3 in 12g | 1/10g (0·0·0·0·0·0·0·1·0·0) | 0/0g | 0/0g | 14% | — | — |
| – | Mason Redman | DEF | 3 in 13g | 2/10g (0·0·1·0·0·0·0·1·0·0) | 2/8g | 0/4g | 20% | — | — |
| – | Andrew McGrath | DEF | 2 in 17g | 1/10g (0·0·0·0·0·0·1·0·0·0) | 1/8g | 1/3g | 8% | — | — |
| – | Jacob Farrow | DEF | 2 in 18g | 2/10g (0·0·0·0·0·0·0·2·0·0) | 0/0g | 0/0g | 7% | — | 🏉 58' 79' |
| – | Will Setterfield | MID | 2 in 8g | 2/10g (0·0·1·0·0·1·0·0·0·0) | 0/5g | 0/2g | 16% | — | — |
| – | Archie Roberts | DEF | 1 in 18g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/2g | 0/1g | 6% | — | 🏉 61' |
| – | Max Kondogiannis | MID | 1 in 9g | 1/9g (0·0·0·0·1·0·0·0·0) | 0/0g | 0/0g | 11% | — | — |
| – | Zach Reid | DEF | 1 in 20g | 1/10g (0·0·1·0·0·0·0·0·0·0) | 0/0g | 0/0g | 4% | — | — |
| – | Jaxon Artemis | DEF | 0 in 3g | 0/3g (0·0·0) | 0/0g | 0/0g | 0% | — | — |
| – | Jaxon Prior | DEF | 0 in 19g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/4g | 0/2g | 0% | — | — |
| – | Rhys Unwin | FWD | 0 in 1g | 1/4g (1·0·0·0) | 0/0g | 0/0g | 25% | — | — |
| – | Vigo Visentini | RUC | no games | 0/2g (0·0) | 0/0g | 0/0g | 0% | — | — |
| – | Zak Johnson | DEF | 0 in 6g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/1g | 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._

**Geelong Cats**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Bailey Smith | 33.5 | $1.90 | 59% | 38 ✗ |
| Tanner Bruhn ⚡ Under | 25.5 | $1.87 | 80% | 16 ✓ |
| Zachary Merrett | 24.5 | $1.97 | — | — |
| Thomas Stewart | 23.5 | $1.94 | — | — |
| James Worpel ⚡ Under | 23.5 | $1.92 | 71% | 19 ✓ |
| Ollie Dempsey | 22.5 | — | — | — |
| Gryan Miers | 22.5 | — | 68% | 9 ✓ |
| Lawson Humphries | 20.5 | — | 51% | 23 ✗ |
| Jhye Clark | 19.5 | — | 92% | 20 ✗ |
| Mark O'Connor | 19.5 | — | 77% | 9 ✓ |
| Shaun Mannagh | 19.5 | — | 68% | 18 ✓ |
| Tom Atkins | 19.5 | — | 53% | 15 ✓ |
| Sam De Koning | 18.5 | — | 80% | 16 ✓ |
| Connor O'Sullivan | 17.5 | — | 56% | 10 ✓ |

**Essendon**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Archie Roberts | 26.5 | $1.81 | 48% | 16 ✓ |
| Sam Durham | 22.5 | $1.87 | 56% | 13 ✓ |
| Will Setterfield | 21.5 | — | 54% | 17 ✓ |
| Andrew McGrath | 20.5 | $1.89 | 57% | 19 ✓ |
| Mason Redman | 19.5 | — | 51% | 10 ✓ |
| Kyle Langford | 19.5 | — | 74% | 14 ✓ |
| Dyson Sharp | 18.5 | — | 59% | 27 ✗ |
| Jye Caldwell | 18.5 | — | 55% | 15 ✓ |
| Jacob Farrow | 17.5 | — | 45% | 14 ✓ |
| Jaxon Prior | 17.5 | — | 61% | 17 ✓ |
| Archie Perkins | 16.5 | — | 64% | 11 ✓ |
| Zak Johnson | 16.5 | — | 65% | 8 ✓ |
| Peter Wright | 15.5 | — | 73% | 9 ✓ |
| Zach Reid | 13.5 | — | 48% | 6 ✓ |

### Prediction Breakdown — Pure Alpha Model

**Team ELO Ratings** — Geelong Cats 1764 · Essendon 1094 · ELO difference: 671 in favour of Geelong Cats

**Positional Matchups** — lineup ELO by unit

| Unit | Geelong Cats | Essendon | Edge |
|---|---|---|---|
| Midfield | 1326 (best 1326) | 1215 (best 1280) | Geelong Cats +111 |
| Forwards | 1110 (best 1302) | 998 (best 1238) | Geelong Cats +113 |
| Defence | 1219 (best 1334) | 1177 (best 1365) | Geelong Cats +42 |
| Ruck | 1055 (best 1055) | 1000 (best 1000) | Geelong Cats +55 |

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

| # | Factor | Weight | Favours |
|---|---|---|---|
| 1 | ELO Rating | 50.8% | Geelong Cats |
| 2 | Forward Line | 13.7% | Geelong Cats |
| 3 | Recent Form | 11.5% | Geelong Cats |
| 4 | Lineup Strength | 6.8% | Geelong Cats |
| 5 | Ruck | 5.0% | Geelong Cats |
| 6 | Stat Profile | 3.7% | Essendon |
| 7 | Weather | 3.2% | Geelong Cats |

**Model Confidence: 94%** — Geelong Cats predicted to win by 63 points · Predicted total: 168 pts

**Record:** 3/4 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: 2026-08-08 09:41 UTC (latest tip update)