Wimbledon are currently 9th in the League One after 9 games in 2026/2027, with recent form reading L W W D D. They are averaging 0.7 goals per game this season while conceding 0.9. With 40.3% average possession and 288.6 passes per game, Wimbledon are one of the more direct sides in the division.
Wimbledon are generating 9.3 shots per game in 2026/2027, with 2.3 on target - a shot accuracy of 24.7%. They have scored in 44% of League One games this season, with over 2.5 goals (either team) occurring in 22% of matches. Both teams have scored in 22% of Wimbledon's games, and they have kept 67% clean sheets.
Defensively, Wimbledon average 13.6 tackles and 11.2 fouls committed per game. They pick up 1.7 yellow cards per match on average - use the stat breakdown pages in the left sidebar to explore which players are driving those numbers. Wimbledon's goals against average of 0.9 per game suggests a solid if inconsistent defensive record.
Wimbledon's season averages provide a useful baseline across several popular bet builder markets. At 4.6 corners per game, corner total lines are worth assessing against the opposition average. Their 22% over 2.5 goals rate and 22% BTTS rate give context for goals markets. For player-level markets - tackles, shots, fouls, yellow cards - use the individual stat pages linked in the sidebar to find per-player averages and game-by-game frequency data ahead of Wimbledon's next fixture against Plymouth Argyle on 10.10.2026.
Wimbledon's home and away form has been strongly contrasting so far in 2026/2027. Across 5 home games they've averaged 0.4 goals scored and 0 conceded per match, with both teams scoring in 0% of fixtures. On the road, they've averaged 1 scored and 2 conceded across 4 away games. Use the Home / Away filter above the stat table to drill into player-level splits for Bet Builder markets that move with venue.
Wimbledon are averaging 1 xG for and 1.49 xG against per game in 2026/2027 — an xG difference of -0.49. Their 0.7 actual goals per game falls below expected output, pointing to finishing struggles and reflecting underperformance vs underlying chances. Recent form shows an stable trend, with 1 xG for and 1.49 xG against across their last ten games — useful context for shot-based and team-total Bet Builder markets.
Wimbledon currently sit 9 of 24 in the League One table. For headline Bet Builder stats they rank 19 of 24 for shots, 8 for tackles and 4 for fouls — useful context when comparing their lines to the league baseline. They rank in the top six for fouls, a useful baseline when reading Bet Builder lines on this stat.
Wimbledon average 0.7 goals per League One game in 2026/2027 across 9 matches, conceding 0.9 per game.
Wimbledon's last five results are L W W D D. They are currently 9th in the League One after 9 games this season.
Wimbledon average 9.3 shots per game in 2026/2027, with 2.3 on target - a shot accuracy of 24.7%.
Wimbledon average 4.6 corners, 13.6 tackles, 11.2 fouls and 1.7 yellow cards per game in 2026/2027. Over 2.5 goals has landed in 22% of their League One games, BTTS in 22%. Use the stat breakdown pages in the sidebar for player-level averages across each market.
Use the Home / Away filter above the data table to compare Wimbledon's stats split by venue across all categories in 2026/2027.
| Scope | P | W | D | L | GF | GA | GD | Pts | PPG | BTTS % | Over 2.5 % | Clean sheet % |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall | 9 | 3 | 4 | 2 | 6 | 8 | -2 | 13 | 1.44 | 22% | 22% | 67% |
| Home | 5 | 2 | 3 | 0 | 2 | 0 | +2 | 9 | 1.8 | 0% | 0% | 100% |
| Away | 4 | 1 | 1 | 2 | 4 | 8 | -4 | 4 | 1 | 50% | 50% | 25% |
| Pos | Team | P | Pts | Wimbledon home | Wimbledon away |
|---|---|---|---|---|---|
| 1 | Plymouth Argyle | 9 | 16 | 24 Apr | 10 Oct |
| 2 | Bradford City | 8 | 16 | 10 Apr | 12 Dec |
| 3 | Huddersfield Town | 8 | 15 | 6 Mar | 3-0 (L) |
| 4 | Sheffield Wednesday | 7 | 14 | 16 Jan | 17 Oct |
| 5 | Stockport County | 8 | 13 | 30 Jan | 31 Oct |
| 6 | Cambridge United | 8 | 13 | 13 Apr | 1-1 (D) |
| 7 | Reading | 8 | 12 | 0-0 (D) | 13 Mar |
| 8 | Burton Albion | 9 | 12 | 9 Feb | 4-1 (L) |
| 9 | AFC Wimbledon | 8 | 12 | - | - |
| 10 | Oxford United | 6 | 11 | 19 Dec | 9 Jan |
| 11 | Leyton Orient | 8 | 10 | 20 Mar | 21 Nov |
| 12 | Wycombe Wanderers | 8 | 10 | 24 Oct | 23 Jan |
| 13 | Stevenage | 7 | 9 | 0-0 (D) | 27 Apr |
| 14 | Leicester City | 7 | 9 | 29 Mar | 26 Dec |
| 15 | Blackpool | 7 | 8 | 14 Nov | 27 Feb |
| 16 | Luton Town | 7 | 8 | 29 Dec | 3 Apr |
| 17 | Mansfield Town | 7 | 8 | 20 Oct | 19 Jan |
| 18 | Barnsley | 7 | 8 | 28 Nov | 1 May |
| 19 | Bromley | 7 | 8 | 13 Feb | 0-2 (W) |
| 20 | Notts County | 7 | 7 | 8 May | 1 Dec |
| 21 | Doncaster Rovers | 7 | 6 | 1-0 (W) | 20 Feb |
| 22 | Milton Keynes Dons | 7 | 6 | 0-0 (D) | 17 Apr |
| 23 | Peterborough United | 8 | 5 | 1 Jan | 26 Mar |
| 24 | Wigan Athletic | 7 | 4 | 1-0 (W) | 6 Feb |
| # | Player | Position | Goals | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Jayden Stockley | attacker | 3 | 10 | 0.3 |
| 2 | Myles Hippolyte | midfielder | 3 | 9 | 0.33 |
| 3 | Callum Maycock | midfielder | 1 | 9 | 0.11 |
| # | Player | Position | Assists | Apps | Per game |
|---|---|---|---|---|---|
| 1 | James Tilley | attacker | 2 | 7 | 0.29 |
| 2 | Jayden Stockley | attacker | 1 | 10 | 0.1 |
| 3 | Andy Yiadom | defender | 1 | 6 | 0.17 |
| 4 | Isaac Ogundere | defender | 1 | 8 | 0.13 |
| # | Player | Position | Shots | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Jayden Stockley | attacker | 26 | 10 | 2.6 |
| 2 | Myles Hippolyte | midfielder | 11 | 9 | 1.22 |
| 3 | James Tilley | attacker | 9 | 7 | 1.29 |
| 4 | Ryan Anthony Johnson | defender | 8 | 8 | 1 |
| 5 | Zack Nelson | midfielder | 8 | 10 | 0.8 |
| # | Player | Position | Shots on target | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Jayden Stockley | attacker | 7 | 10 | 0.7 |
| 2 | Ryan Anthony Johnson | defender | 4 | 8 | 0.5 |
| 3 | Myles Hippolyte | midfielder | 3 | 9 | 0.33 |
| 4 | James Tilley | attacker | 2 | 7 | 0.29 |
| 5 | Callum Maycock | midfielder | 2 | 9 | 0.22 |
| # | Player | Position | Fouls | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Jayden Stockley | attacker | 18 | 10 | 1.8 |
| 2 | D. Sweeney | defender | 12 | 9 | 1.33 |
| 3 | Myles Hippolyte | midfielder | 11 | 9 | 1.22 |
| 4 | S. Seddon | defender | 11 | 10 | 1.1 |
| 5 | Zack Nelson | midfielder | 10 | 10 | 1 |
| # | Player | Position | Tackles | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Alistair Smith | midfielder | 18 | 10 | 1.8 |
| 2 | Myles Hippolyte | midfielder | 15 | 9 | 1.67 |
| 3 | Isaac Ogundere | defender | 15 | 8 | 1.88 |
| 4 | Andy Yiadom | defender | 13 | 6 | 2.17 |
| 5 | James Tilley | attacker | 13 | 7 | 1.86 |
| # | Player | Position | Fouls drawn | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Jayden Stockley | attacker | 18 | 10 | 1.8 |
| 2 | Myles Hippolyte | midfielder | 12 | 9 | 1.33 |
| 3 | Alistair Smith | midfielder | 11 | 10 | 1.1 |
| 4 | James Tilley | attacker | 8 | 7 | 1.14 |
| 5 | D. Sweeney | defender | 8 | 9 | 0.89 |
| # | Player | Position | Yellow cards | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Myles Hippolyte | midfielder | 4 | 9 | 0.44 |
| 2 | Andy Yiadom | defender | 2 | 6 | 0.33 |
| 3 | Ryan Anthony Johnson | defender | 2 | 8 | 0.25 |
| 4 | D. Sweeney | defender | 2 | 9 | 0.22 |
| 5 | S. Seddon | defender | 2 | 10 | 0.2 |
| # | Player | Position | Key passes | Apps | Per game |
|---|---|---|---|---|---|
| 1 | S. Seddon | defender | 18 | 10 | 1.8 |
| 2 | Myles Hippolyte | midfielder | 9 | 9 | 1 |
| 3 | Alistair Smith | midfielder | 7 | 10 | 0.7 |
| 4 | Jayden Stockley | attacker | 6 | 10 | 0.6 |
| 5 | James Tilley | attacker | 5 | 7 | 0.71 |