# Sydney Swans v Adelaide Crows — AFL Round 19 2026 AI Prediction by Alphr

## Full Time: Sydney Swans 71 – 87 Adelaide Crows

_Adelaide Crows pick apart Sydney Swans._

Half time: 45 – 53 · Alphr AI pre-game win probability: Sydney Swans 75% / Adelaide Crows 25% · SCG · Fri, 17 July, 07:40 pm AEST

**Goal Kickers** — Sydney Swans: Braeden Campbell (6' 1st), Tom Papley (26' ×4 Tipped ⚡), Chad Warner (50'), James Rowbottom (86' ×2) · Adelaide Crows: Alex Neal-Bullen (10'), Izak Rankine (13'), Darcy Fogarty (16' ×4 Tipped ⚡), Josh Rachele (17' Tipped ⚡), Lachlan McAndrew (24'), Toby Murray (33'), Riley Thilthorpe (41' ×2 Tipped ⚡), Isaac Cumming (49'), Luke Nankervis (84')

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

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Sydney Swans | 75% | Lost |
| Adelaide Crows | 25% | Won |

Model call: **Missed** · Margin: 12.9 predicted → 16 actual · Markets hit: 2/4

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

### Full-Time Report

**Sydney Swans vs Adelaide Crows Prediction & Tips | AFL Round 19 2026**

_By Ben Dunlop · Published: 16 July 2026, 07:57 pm · Last updated: 17 July 2026, 10:29 pm_

Sydney Swans 71–87 Adelaide Crows in AFL Round 19 at SCG. Here's how the result stacked up against the model's call, with the win-probability story and where the value landed.

Sydney Swans put up a fight but ultimately came undone, losing to Adelaide Crows 87–71 at the SCG. Despite leading 62–56 at three-quarter time, the Swans couldn't hold on. Their ruck work was impressive, dominating the hit-outs with 53 to Adelaide's 34. However, their efforts up front went begging, with the Crows proving more effective inside the forward 50.

The Swans’ midfield ratings were slightly superior on paper, yet it was Adelaide's engine room that made the difference on the field. Sydney managed to keep the disposal count relatively close, only trailing by 56. But it was the quality of those touches that told: Adelaide used the ball more efficiently, boasting a disposal efficiency of nearly 70% compared to Sydney's 64.6%. Their forwards also capitalised when it mattered, taking ten marks inside 50, compared to the Swans' four.

The Crows had the edge where it counted: clearances. Winning 51 to Sydney’s 38, they consistently gave themselves the first look. This control allowed them to build dangerous attacks and challenge the Swans’ defence. Despite Sydney's strong defensive ratings, reflected in 81 intercepts (one more than Adelaide's 80), the floodgates opened late. Adelaide capitalised on this, extending their lead and sealing the game.

While the Swans’ efforts around the ground were commendable, it wasn't enough to overturn the Crows' forward pressure. Adelaide laid 72 tackles compared to Sydney’s 60, making the Swans work hard for each possession. Their pressure game was a testament to their superior recent form, with an average margin of 30.4 points contrast to Sydney's -8.2 points over the last five matches.

The model’s pre-match prediction of a Sydney win by 12.9 points, based on an ELO rating of 1676 to 1685, highlighted how deceptive numbers can be. It seemed to overlook the Crows’ sharper attacking edge, a mistake that saw the model go just 2/4 on the night. The Crows defied a 75% prediction for Sydney, emphasising the unpredictable nature of footy.

Adelaide, with an average score of 99.6 points over the last five games to Sydney’s 88.6, lived up to their attacking form. Although Sydney had been conceding 96.8 points on average, they managed to hold the Crows under their usual threshold. Still, containing them wasn’t enough, with Adelaide's ability to convert opportunities proving pivotal.

The result was telling of Adelaide's efficiency. They came into the game with their forward and midfield units rated lower than Sydney's, yet they outperformed across the park. Their ability to turn clean possession into scoring opportunities ultimately decided the contest. The Swans were left to rue missed chances, a reminder of the challenges in converting statistical advantages into scoreboard pressure.

In the end, the Crows' composure and ability to execute their game plan saw them home for a 16-point victory. A reminder for the Swans: stats on paper can differ when boots hit grass.

**Scoring by Quarter**

| Team | Q1 | Q2 | Q3 | Q4 | T |
|---|---|---|---|---|---|
| Sydney Swans | 20 | 25 | 17 | 9 | 71 |
| Adelaide Crows | 41 | 12 | 3 | 31 | 87 |

**Key Match Stats**

| Sydney Swans | Stat | Adelaide Crows |
|---|---|---|
| 353 | Disposals | **409** |
| 149 | Contested poss. | **166** |
| 38 | Clearances | **51** |
| **59** | Inside 50s | 56 |
| 53 | Marks | **85** |
| 4 | Marks inside 50 | **10** |
| 60 | Tackles | **72** |
| **53** | Hit-outs | 34 |
| **81** | Intercepts | 80 |
| 64.6% | Disposal eff. | **69.7%** |

**Model Report Card**

Adelaide Crows defied the model's 75% prediction for Sydney Swans, a notable upset. The margin model missed here, predicting 12.9 but the actual margin was 16 points. Adelaide Crows led 45–53 at the break and pulled away in the second half to win by 16. The model went 2/4 on this match. Adelaide Crows covered the 13.5-point line. The under 177.5 total call was correct.

_Official AFL match stats · Generated by Alphr's model_

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

- **Head to Head:** Sydney Swans to win @ $1.47 (edge +6.5%) — model probability 74.5% — result: LOST
- **Line / Spread:** Adelaide Crows +13.5 @ $1.90 (edge +0.6%) — result: WON
- **Margin Band:** Sydney Swans 1-39 @ $3.30 (edge +0.0%) — result: LOST
- **Total (Over/Under):** Under 177.5 @ $1.89 (edge +2.1%) — result: WON
- Predicted margin: Sydney Swans by 13 · Predicted total: 169

### Match Preview (pre-match read)

The model is firm on Sydney Swans here: 75% to see off Adelaide Crows. Form leans Adelaide Crows' way: 4 from their last 5, against 3 for Sydney Swans.

On paper Adelaide Crows shade it, ahead on 3 of 7 factors including Recent Win Rate, Forward Line ELO and Scoring Form. The model still sides with Sydney Swans, which says Midfield ELO and Venue Advantage carry the most weight. The margin model has Sydney Swans by 12.9, with the two sides combining for about 169. Sydney Swans to win, and win clearly. The model isn't hedging.

_Pre-match read · Alphr model_

### Recent Form (Last 5)

| Sydney Swans | Stat | Adelaide Crows |
|---|---|---|
| 3.0 | Wins (Last 5) | 4.0 |
| 88.6pts | Avg Score | 99.6pts |
| 96.8pts | Avg Conceded | 69.2pts |
| -8.2pts | Avg Margin | 30.4pts |
| 398.8 | Disposals | 381.6 |
| 50.0 | Inside 50s | 50.0 |
| 57.4 | Tackles | 73.2 |
| 35.0 | Clearances | 33.8 |

### Form & History

_Last 5 games, oldest → newest._

| Team | Last 5 | Avg Pts |
|---|---|---|
| Sydney Swans | R13 W · R14 W · R16 L · R17 W · R18 L | 88.6 |
| Adelaide Crows | R14 W · R15 W · R16 L · R17 W · R18 W | 99.6 |

### H2H History (Last 5) — Sydney Swans lead 4-1

| Season | Round | Home | Score | Away |
|---|---|---|---|---|
| 2025 | R12 | Sydney Swans | 41 – 131 | Adelaide Crows |
| 2024 | R24 | Sydney Swans | 121 – 90 | Adelaide Crows |
| 2024 | R14 | Adelaide Crows | 67 – 109 | Sydney Swans |
| 2023 | R23 | Adelaide Crows | 73 – 74 | Sydney Swans |
| 2022 | R19 | Sydney Swans | 118 – 85 | Adelaide Crows |

### Positional Matchup

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

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

|  | Sydney Swans | Adelaide Crows |
|---|---|---|
| Attack rank | 5th (strong) | 9th |
| Defence rank | 2nd (strong) | 3rd (strong) |
| Goals scored · conceded | 172 · 129 | 156 · 137 |
| Goal Assists | 4.1/g | 5.9/g |
| Disposals | 95/g | 109/g |
| Inside 50s | 18.5/g | 19.6/g |
| Marks Inside 50 | 10.5/g | 8.6/g |
| Disposal Efficiency | 69.9% | 68.3% |

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

|  | Sydney Swans | Adelaide Crows |
|---|---|---|
| Attack rank | 1st (strong) | 4th (strong) |
| Defence rank | 7th | 2nd (strong) |
| Goals scored · conceded | 86 · 51 | 65 · 38 |
| Goal Assists | 5.1/g | 3.7/g |
| Disposals | 158/g | 133/g |
| Inside 50s | 28.5/g | 23.2/g |
| Marks Inside 50 | 2.8/g | 2.3/g |
| Disposal Efficiency | 69.8% | 69.9% |

**Defenders** (Key & Medium Defenders)

|  | Sydney Swans | Adelaide Crows |
|---|---|---|
| Attack rank | 11th | 14th (weak) |
| Defence rank | 8th | 12th |
| Goals scored · conceded | 10 · 12 | 8 · 14 |
| Goal Assists | 2.2/g | 0.9/g |
| Disposals | 136/g | 128/g |
| Inside 50s | 13.5/g | 9.5/g |
| Marks Inside 50 | 0.6/g | 0.1/g |
| Disposal Efficiency | 79.4% | 81.8% |

**Who scores on Adelaide Crows** — Defenders 1.12/g (lg 1.09) +3% · Forwards 4.31/g (lg 4.45) -3% · Midfielders 2.22/g (lg 2.48) -10%
**Who scores on Sydney Swans** — Rucks 0.7/g (lg 0.52) +35% · Forwards 4.17/g (lg 4.45) -6% · Midfielders 2.32/g (lg 2.48) -6%

_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 SCG. ⚡ = 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._

**Sydney Swans** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | Goal % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Charlie Curnow | KF | 50 in 16g | 38/10g (7·1·1·2·8·2·3·3·6·5) | 17/7g | 35/14g | 84% | ⚡ Anytime Goal $1.02 AI 94% ✗ No goal; 🎯 First Goal $6.50 AI 10% ✗ Not first | — |
| – | Logan McDonald | KF | 26 in 15g | 19/10g (2·0·3·3·2·2·2·1·3·1) | 7/4g | 58/41g | 84% | ⚡ Anytime Goal $1.30 AI 77% ✓ Scored | — |
| – | Isaac Heeney | MID | 25 in 15g | 15/10g (0·3·1·1·5·2·1·1·1·0) | 21/12g | 147/109g | 80% | — | — |
| – | Chad Warner | MID | 23 in 17g | 13/10g (0·1·1·0·3·2·1·4·1·0) | 5/6g | 55/61g | 66% | — | 🏉 50' |
| – | Malcolm Rosas | FWD | 16 in 13g | 13/10g (2·1·0·7·0·0·0·2·1·0) | 2/3g | 15/9g | 58% | — | — |
| – | Tom Papley | FWD | 16 in 12g | 15/10g (1·2·3·1·1·1·2·2·0·2) | 11/10g | 149/92g | 80% | ⚡ Anytime Goal $1.20 AI 72% ✓ Scored | 🏉 26' 55' 63' 76' |
| – | Hayden McLean | KF | 12 in 6g | 16/10g (0·0·2·2·3·4·2·0·3·0) | 5/4g | 55/42g | 70% | — | — |
| – | Jake Lloyd | FWD | 11 in 17g | 6/10g (1·1·0·0·0·0·2·0·0·2) | 1/13g | 23/127g | 30% | — | — |
| – | Brodie Grundy | RUC | 8 in 16g | 4/10g (2·1·0·1·0·0·0·0·0·0) | 2/11g | 10/35g | 34% | — | — |
| – | James Jordon | MID | 5 in 17g | 1/10g (0·0·0·0·1·0·0·0·0·0) | 0/7g | 15/33g | 22% | — | — |
| – | James Rowbottom | FWD | 5 in 17g | 4/10g (0·0·0·0·0·1·1·2·0·0) | 1/6g | 25/68g | 30% | — | 🏉 86' 87' |
| – | Angus Sheldrick | MID | 4 in 16g | 2/10g (0·1·0·0·0·0·0·1·0·0) | 0/1g | 4/22g | 28% | — | — |
| – | Nick Blakey | DEF | 4 in 17g | 1/10g (0·0·1·0·0·0·0·0·0·0) | 4/8g | 26/73g | 24% | — | — |
| – | Jai Serong | MID | 3 in 16g | 2/10g (0·0·1·0·0·1·0·0·0·0) | 0/0g | 2/8g | 17% | — | — |
| – | Harry Cunningham | DEF | 2 in 11g | 1/10g (1·0·0·0·0·0·0·0·0·0) | 5/10g | 17/94g | 8% | — | — |
| – | Matt Roberts | MID | 2 in 13g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/3g | 4/29g | 6% | — | — |
| – | Riley Bice | DEF | 2 in 15g | 1/10g (0·0·0·0·0·0·0·0·1·0) | 0/1g | 0/13g | 10% | — | — |
| – | Errol Gulden | MID | 1 in 5g | 4/10g (0·1·0·0·2·0·1·0·0·0) | 4/5g | 33/48g | 42% | — | — |
| – | Braeden Campbell | FWD | no games | 6/10g (1·0·0·0·1·0·2·1·1·0) | 2/5g | 15/44g | 44% | — | 🏉 6' |
| – | Callum Mills | DEF | 0 in 16g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/9g | 11/88g | 10% | — | — |
| – | Dane Rampe | DEF | 0 in 10g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/15g | 6/122g | 4% | — | — |
| – | Tom McCartin | DEF | 0 in 14g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/6g | 18/72g | 6% | — | — |
| – | William Edwards | DEF | 0 in 11g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/0g | 0/5g | 0% | — | — |

**Adelaide Crows** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | Goal % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Josh Rachele | FWD | 30 in 17g | 20/10g (2·2·3·1·0·4·3·1·1·3) | 6/3g | 3/1g | 86% | ⚡ Anytime Goal $1.20 AI 84% ✓ Scored; 🎯 First Goal $12.00 AI 7% ✗ Not first | 🏉 17' |
| – | Ben Keays | FWD | 23 in 17g | 16/10g (3·1·2·0·2·1·1·1·3·2) | 8/8g | 6/5g | 76% | ⚡ Anytime Goal $1.43 AI 75% ✗ No goal | — |
| – | Darcy Fogarty | KF | 21 in 11g | 19/10g (2·0·2·1·0·1·2·5·4·2) | 6/6g | 3/3g | 78% | ⚡ Anytime Goal $1.12 AI 84% ✓ Scored; 🎯 First Goal $10.00 AI 7% ✗ Not first | 🏉 16' 71' 74' 85' |
| – | Jordan Dawson | MID | 20 in 14g | 16/10g (2·1·1·1·3·3·2·0·1·2) | 4/5g | 15/28g | 68% | ⚡ Anytime Goal $1.36 AI 73% ✗ No goal | — |
| – | Riley Thilthorpe | KF | 19 in 14g | 12/10g (1·3·1·1·1·0·3·1·1·0) | 5/4g | 5/3g | 86% | ⚡ Anytime Goal $1.12 AI 74% ✓ Scored | 🏉 41' 96' |
| – | Izak Rankine | MID | 13 in 14g | 9/10g (1·2·1·1·1·1·0·0·1·1) | 10/6g | 9/4g | 84% | — | 🏉 13' |
| – | Alex Neal-Bullen | FWD | 11 in 16g | 6/10g (0·2·0·0·1·0·0·1·1·1) | 4/11g | 2/4g | 52% | — | 🏉 10' |
| – | Zac Taylor | FWD | 10 in 15g | 6/10g (0·0·0·1·1·2·0·2·0·0) | 3/1g | 3/1g | 32% | — | — |
| – | Jake Soligo | FWD | 9 in 15g | 6/10g (0·0·2·1·0·0·0·0·2·1) | 3/5g | 2/3g | 44% | — | — |
| – | Brayden Cook | MID | 7 in 17g | 3/10g (1·0·1·0·0·1·0·0·0·0) | 1/2g | 0/1g | 38% | — | — |
| – | Toby Murray | RUC | 7 in 10g | 7/10g (0·0·2·1·2·0·0·1·1·0) | 0/0g | 0/0g | 50% | — | 🏉 33' |
| – | Isaac Cumming | MID | 5 in 10g | 5/10g (2·0·1·1·0·0·0·1·0·0) | 2/9g | 2/5g | 30% | — | 🏉 49' |
| – | Lachlan McAndrew | RUC | 5 in 17g | 5/10g (0·1·2·1·0·0·0·0·0·1) | 0/0g | 0/1g | 28% | — | 🏉 24' |
| – | James Peatling | MID | 4 in 17g | 2/10g (0·0·2·0·0·0·0·0·0·0) | 2/6g | 2/5g | 26% | — | — |
| – | Luke Nankervis | DEF | 3 in 11g | 3/10g (0·0·2·0·0·0·0·0·0·1) | 1/2g | 1/1g | 10% | — | 🏉 84' |
| – | Daniel Curtin | MID | 2 in 10g | 2/10g (0·1·0·0·0·0·0·0·1·0) | 1/2g | 1/2g | 30% | — | — |
| – | Sam Berry | MID | 2 in 17g | 1/10g (0·0·0·0·1·0·0·0·0·0) | 4/5g | 4/4g | 18% | — | — |
| – | Wayne Milera | DEF | 2 in 15g | 2/10g (0·0·0·0·0·0·0·1·1·0) | 3/7g | 2/4g | 12% | — | — |
| – | Hugo Hall-Kahan | DEF | 0 in 5g | 0/5g (0·0·0·0·0) | 0/0g | 0/0g | 0% | — | — |
| – | James Borlase | DEF | 0 in 12g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/3g | 0/1g | 3% | — | — |
| – | Josh Worrell | DEF | 0 in 16g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/3g | 0/2g | 0% | — | — |
| – | Mark Keane | DEF | 0 in 4g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/4g | 0/2g | 0% | — | — |
| – | Max Michalanney | DEF | 0 in 17g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/4g | 0/2g | 4% | — | — |

### 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._

**Sydney Swans**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Isaac Heeney ⚡ Under | 27.5 | $1.95 | 73% | 29 ✗ |
| Errol Gulden ⚡ Under | 26.5 | $1.87 | 72% | 22 ✓ |
| Chad Warner ⚡ Under | 24.5 | $1.87 | 71% | 21 ✓ |
| Nick Blakey ⚡ Under | 23.5 | $1.89 | 65% | 21 ✓ |
| Callum Mills ⚡ Under | 23.5 | $1.91 | 64% | 25 ✗ |
| Brodie Grundy | 19.5 | $1.88 | 63% | 17 ✓ |
| Tom McCartin ⚡ Under | 18.5 | $1.85 | 64% | 26 ✗ |
| Jai Serong | 17.5 | $1.83 | 56% | 12 ✓ |
| Jake Lloyd | 16.5 | $1.87 | 46% | 12 ✓ |

**Adelaide Crows**

| Player | Line | Under | AI Under | Actual |
|---|---|---|---|---|
| Wayne Milera | 23.5 | $1.88 | 58% | 26 ✗ |
| Jordan Dawson | 23.5 | $2.00 | 48% | 23 ✓ |
| Izak Rankine ⚡ Under | 22.5 | $1.92 | 68% | 30 ✗ |
| Sam Berry | 21.5 | $1.95 | 59% | 19 ✓ |
| Josh Worrell | 20.5 | $1.87 | 56% | 15 ✓ |
| James Peatling | 19.5 | $1.85 | 64% | 28 ✗ |
| Hugo Hall-Kahan ⚡ Under | 18.5 | $1.87 | 67% | 18 ✓ |
| Jake Soligo | 16.5 | $1.88 | 54% | 26 ✗ |
| Brayden Cook | 16.5 | $1.87 | 59% | 23 ✗ |

### Prediction Breakdown — Pure Alpha Model

**ELO–Market Disagreement:** Adelaide Crows hold the ELO advantage (1685 vs 1676), but the market favours Sydney Swans (@1.47). The model sides with the market, other factors override the ELO gap.

**Team ELO Ratings** — Sydney Swans 1676 · Adelaide Crows 1685 · ELO difference: 9 in favour of Adelaide Crows

**Positional Matchups** — lineup ELO by unit

| Unit | Sydney Swans | Adelaide Crows | Edge |
|---|---|---|---|
| Midfield | 1126 (best 1503) | 1099 (best 1448) | Sydney Swans +27 |
| Forwards | 993 (best 1504) | 1029 (best 1600) | Adelaide Crows +36 |
| Defence | 1143 (best 1481) | 1142 (best 1394) | Even |
| Ruck | 1131 (best 1476) | 1075 (best 1230) | Sydney Swans +56 |

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

| # | Factor | Weight | Favours |
|---|---|---|---|
| 1 | ELO Difference | 14.0% | — |
| 2 | Midfield ELO | 11.0% | Sydney Swans |
| 3 | Recent Win Rate | 10.0% | Adelaide Crows |
| 4 | Forward Line ELO | 9.0% | Adelaide Crows |
| 5 | Defensive ELO | 8.0% | — |
| 6 | Scoring Form | 8.0% | Adelaide Crows |
| 7 | Venue Advantage | 7.0% | Sydney Swans |

**Model Confidence: 75%** — Sydney Swans predicted to win by 13 points · Predicted total: 169 pts

**Record:** 2/4 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: 2026-07-17 12:29 UTC (latest tip update)