VfL Wolfsburg vs Hamburger SV - Predictions, Stats & Odds
Bundesliga Statistics, AI predictions, (Expected) Lineups and Insights for Gameweek 25
AI Match Prediction
Predicted Lineups
VfL Wolfsburg
| Pos | Player |
|---|---|
| GK | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| MID | |
| MID | |
| MID | |
| MID | |
| FWD | |
| FWD |
Hamburger SV
Preview for the game VfL Wolfsburg vs Hamburger SV
VfL Wolfsburg come into Gameweek 25 under clear pressure after taking just 1 point from their last 5 Bundesliga matches, with a run of four defeats and one draw highlighting their slump. Despite that form line of L-L-D-L-L, the Plus Minus model still edges this fixture slightly towards the hosts, giving Wolfsburg a 41% chance of victory, compared to 30% for Hamburger SV and 28% for the draw. Wolfsburg also have the psychological edge from the most recent head-to-head, a 1-0 away win at Hamburg on 25 October 2025, and will again look to central figures like Maximilian Arnold (GAP +1.2%) to stabilise the midfield. In attack, the direct threat of Mohammed Amoura (GAP +4.1%) could be crucial in turning territorial dominance into goals. Hamburger SV arrive in far better recent shape, collecting 7 points from their last 5 league games thanks to two wins, one draw and two defeats. That upturn, reflected in their L-L-D-W-W sequence, suggests a side trending upwards and capable of exploiting Wolfsburg’s fragility, even if the model still makes them slight underdogs at 30% for the away win. Wide threat from Bakery Jatta and the creativity of Fábio Vieira (GAP -0.3%) between the lines will be important in transitioning quickly, while the defensive organisation around Luka Vušković (GAP +2.0%) will be tested by Wolfsburg’s need to attack at home. Injuries and availability Wolfsburg remain without several options. Rogério is sidelined long term with a knee injury and is not expected back for around 4 months and 2 weeks. Patrick Wimmer is also out with a reported injury issue and is likely to miss roughly another month, while Kilian Fischer is dealing with an adductor muscle injury and is expected to be unavailable for about 3 weeks and 3 days. Jenson Seelt and Cleiton are both recovering from knee and ankle problems respectively, each projected to return in around 1 month and 4 days. Kevin Paredes is again out with a muscle injury and is only expected back in about 6 days. Bence Dárdai faces a long spell on the sidelines with a cruciate ligament rupture (around 3 months and 3 weeks), and key attacker Jonas Wind is in rehab after a thigh muscle injury, with a similar long-term timeline of about 3 months and 6 days. Joakim Mæhle is also in individual build-up training and not expected back for roughly 4 months and 2 days. For Hamburg, Nicolás Capaldo is listed with an abdominal muscle injury but could be nearing a return, with an estimated 2 days until he is back in contention. A. Røssing-Lelesiit is out with a syndesmosis tear and is expected to miss around 1 month and 1 week, while Albert Grønbæk is in build-up training following a thigh fascia injury and is targeting a return in about 2 weeks and 6 days.
League Table before the game
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 11 | Hamburger SV | 24 | 6 | 8 | 10 | 26 | 35 | -9 | 26 | W W D L L |
| 17 | VfL Wolfsburg | 24 | 5 | 5 | 14 | 33 | 53 | -20 | 20 | L L D L L |
Last Games
Bundesliga
Gameweek 25
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.