Burnley vs Manchester City - Predictions, Stats & Odds
Premier League Statistics, AI predictions, (Expected) Lineups and Insights for Gameweek 34
Premier League - Gameweek 34
Wednesday, 22 Apr 2026 • 20:00
Turf Moor (Burnley, Lancashire)
AI Match Prediction
Predicted Lineups
Burnley
| Pos | Player |
|---|---|
| GK | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| MID | |
| MID | |
| MID | |
| MID | |
| FWD | |
| FWD |
Manchester City
| Pos | Player |
|---|---|
| GK | |
| DEF | |
| DEF | |
| DEF | |
| MID | |
| MID | |
| MID | |
| MID | |
| MID | |
| MID | |
| FWD |
Preview for the game Burnley vs Manchester City
Burnley come into Gameweek 34 in deep trouble after taking just 1 point from their last 5 league matches, with a run of four defeats and a draw highlighting their struggles. At Turf Moor they will need a major improvement against a Manchester City side that has collected 9 points from its last 5 league games, remaining unbeaten with two wins and three draws. The Plus Minus model strongly favours the visitors, giving Burnley only a 10% chance of victory, a 22% probability of a draw and a 68% likelihood of an away win. Recent head-to-head data underlines the scale of Burnley’s task. City have won the last three league meetings by clear margins: 3-0 at Turf Moor in August 2023, 3-1 at home in January 2024 and 5-1 in the most recent clash in September 2025. Burnley will look to the creativity and set-piece threat of James Ward-Prowse (GAP -1.2%) and the physical presence of Lyle Foster (GAP -2.0%) to disrupt that pattern, but City’s attacking depth remains formidable. Erling Haaland (GAP +4.7%) again profiles as a central goal threat, while Kevin De Bruyne (GAP +7.9%) offers one of the highest impact ratings in the model and is key to unlocking a Burnley defence that has struggled in recent weeks. Injuries and availability Burnley remain without several options. Josh Cullen is sidelined long term with a serious knee injury and is not expected back until around 30 September 2026. Hannibal Mejbri is out with a hamstring problem and not projected to return until early May, while Jordan Beyer continues to work back from a hamstring setback after previous knee issues. Connor Roberts is still recovering from an Achilles injury and, despite being back in training, is described as weeks away from playing. Zeki Amdouni is in modified training after a long knee lay-off and is unlikely to be risked yet due to lack of match fitness. For Manchester City, Rúben Dias is recovering from a hamstring injury and remains sidelined, and Joško Gvardiol is still out with a tibial fracture to his right leg and is described as not close to a return. Nico O’Reilly and John Stones are both nursing muscle and calf problems respectively and are rated doubtful, with tentative return timelines around mid-April, so their involvement at Turf Moor is uncertain.
League Table before the game
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 | Manchester City | 32 | 20 | 7 | 5 | 65 | 29 | +36 | 67 | W D D W W |
| 19 | Burnley | 33 | 4 | 8 | 21 | 34 | 67 | -33 | 20 | L D L L L |
Last Games
Premier League
Gameweek 34
What is GAP?
What is Plus Minus Goals (G±)?
Plus Minus Goals (G±) is the average goal difference per game while the player was on the pitch. A value above 0 indicates that the team rather wins, a value below 0 means his team concedes more goals than they score when the player is on the pitch. As an example, if the player's team is winning 3:1 the goal difference is +2, if the player's team is loosing 0:1, the goal difference is -1. It is a pure metric which is barely adjusted for circumstances to purely show the goal difference.
What is GAP?
GAP (Game Advantage Percentage) shows the percentage gap between a player and the average league player. It answers the question: How much does a player improve or worsen a team's performance? It is based on high level game data with a focus on the impact on the goal difference (G±) from the last 50 games of a player. Besides that, GAP goes further and considers game context by involving data from the player and all other players who are at the same time on the pitch, no matter if teammates or opponents. Football GAP - the individual metric for team players.