Our AI model has run the numbers for AFL 2026 Round 15. It draws on 1,547 matches back to 2019, reading recent form, head-to-head records, home-ground advantage, streaks, 5-game momentum patterns and points differential for all 7 games.
Honest model accuracy: 69.0% weighted across walk-forward test seasons - see the full tracker, graded out-of-sample so the numbers can't be inflated.
Round 15 Predictions
📍 Perth Stadium
High
Fremantle
92% wins in 2026
vs
AI Pick
Fremantle
(80% probability)
▲ Fremantle: 10-game win streak
▲ Fremantle: Better recent form (last 5)
📍 Carrara
Medium
Gold Coast
54% wins in 2026
vs
AI Pick
Gold Coast
(74% probability)
▼ Gold Coast: 3-game losing streak
⚠ Gold Coast: Collapse pattern - was winning, now sliding
📍 Adelaide Oval
Low
vs
Melbourne
64% wins in 2026
AI Pick
Adelaide
(56% probability)
▲ Melbourne: Recovery pattern - bouncing back from losses
▲ Adelaide: Better recent form (last 5)
📍 Sydney Showground
Medium
Greater Western Sydney
46% wins in 2026
vs
AI Pick
Greater Western Sydney
(67% probability)
Greater Western Sydney last 5
WLWWL
▲ Carlton: 4-game win streak
▲ Carlton: Better recent form (last 5)
📍 M.C.G.
Low
Collingwood
38% wins in 2026
vs
Port Adelaide
31% wins in 2026
AI Pick
Collingwood
(61% probability)
Port Adelaide last 5
LLLWL
📍 M.C.G.
Medium
vs
North Melbourne
46% wins in 2026
AI Pick
North Melbourne
(68% probability)
North Melbourne last 5
LLWLW
📍 Docklands
Medium
vs
Western Bulldogs
57% wins in 2026
AI Pick
St Kilda
(70% probability)
Western Bulldogs last 5
LWWWL
Round 15 Summary
| Match | AI Pick | Probability | Confidence |
|---|
| Fremantle vs Geelong | Fremantle | 80% | High |
| Gold Coast vs Hawthorn | Gold Coast | 74% | Medium |
| Adelaide vs Melbourne | Adelaide | 56% | Low |
| Greater Western Sydney vs Carlton | Greater Western Sydney | 67% | Medium |
| Collingwood vs Port Adelaide | Collingwood | 61% | Low |
| Richmond vs North Melbourne | North Melbourne | 68% | Medium |
| St Kilda vs Western Bulldogs | St Kilda | 70% | Medium |
Tools for This Round
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Predictions by the TippingEdge AFL model (XGBoost + Logistic Regression ensemble, 69.0% walk-forward accuracy). Uses 2026 data up to Round 14.