Vejle Boldklub
Vejle Boldklub in the Superliga, 2025/2026 season. All figures on this page are calculated from completed fixtures only.
- Competition
- Superliga (Denmark)
- Season
- 2025/2026
- Position
- 12 of 12Provisional, from completed fixtures in our data
- Team Strength
- 30.0Internal contextual metric, 0–100
- Founded
- 1891
Season summary
Calculated from completed fixtures only. Scheduled fixtures are never counted.
- Matches played
- 32
- Wins
- 5
- Draws
- 9
- Losses
- 18
- Goals scored
- 36
- Goals conceded
- 60
- Goal difference
- -24
- Points
- 24
0.75 per match
Form
A plain sequence of results — no weighting or momentum model is applied here.
- Loss
- Loss
- Loss
- Loss
- Win
- Win
Oldest to most recent, completed fixtures only. 6 matches shown.
Team performance
Aggregated player data: team volumes summed from the individual player statistics of 14 fixtures. These are not official provider team statistics.
| Metric | Total | Per match | Matches with data |
|---|---|---|---|
| Shots | 78 | 8.67 | 9 |
| Shots on target | 25 | 2.78 | 9 |
| Passes | 2,295 | 163.93 | 14 |
| Accurate passes | 1,707 | 142.25 | 12 |
| Passes into the final third | 323 | 29.36 | 11 |
| Key passes | 53 | 5.89 | 9 |
| Chances created | 44 | 5.50 | 8 |
| Successful dribbles | 43 | 4.30 | 10 |
| Tackles | 109 | 12.11 | 9 |
| Interceptions | 57 | 6.33 | 9 |
| Clearances | 183 | 18.30 | 10 |
| Ball recoveries | 327 | 29.73 | 11 |
| Duels | 602 | 66.89 | 9 |
| Duels won | 286 | 26.00 | 11 |
| Aerial duels | 105 | 13.13 | 8 |
| Aerial duels won | 93 | 10.33 | 9 |
| Goalkeeper saves | 21 | 4.20 | 5 |
Aggregated player data, summed from the individual player statistics of this team's completed fixtures. These are not official provider team statistics. A dash or "not available" means the provider sent no value — it never means zero.
Efficiency rates
Ratios calculated only where both the numerator and denominator exist in the provider data.
| Metric | Rate |
|---|---|
| Pass accuracy | 74.4% |
| Shots on target rate | 32.1% |
| Dribble success | 41.0% |
| Duel win rate | 47.5% |
| Aerial win rate | 88.6% |
| Tackle success | 67.9% |
Recent results
Most recent completed fixtures, newest first.
| Date | Opponent | Venue | Score | Result | Competition |
|---|---|---|---|---|---|
| 17 May 2026 | Odense BK | Away | 1–0 | Win | Superliga |
| 10 May 2026 | Fredericia | Home | 2–0 | Win | Superliga |
| 03 May 2026 | Randers FC | Away | 0–1 | Loss | Superliga |
| 27 Apr 2026 | FC København | Away | 0–3 | Loss | Superliga |
| 22 Apr 2026 | Silkeborg IF | Home | 1–2 | Loss | Superliga |
| 19 Apr 2026 | FC København | Home | 1–4 | Loss | Superliga |
| 13 Apr 2026 | Fredericia | Away | 2–2 | Draw | Superliga |
| 06 Apr 2026 | Randers FC | Home | 1–1 | Draw | Superliga |
| 20 Mar 2026 | Odense BK | Home | 1–1 | Draw | Superliga |
| 16 Mar 2026 | Silkeborg IF | Away | 1–1 | Draw | Superliga |
| 01 Mar 2026 | AGF | Home | 1–2 | Loss | Superliga |
| 20 Feb 2026 | Nordsjælland | Away | 3–3 | Draw | Superliga |
Home and away
Split records from completed fixtures.
| Split | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|
| Home | 16 | 4 | 4 | 8 | 22 | 26 | -4 | 16 |
| Away | 16 | 1 | 5 | 10 | 14 | 34 | -20 | 8 |
Squad
Current-season squad ordered by minutes played. Impact Score appears only for players who meet the publishable sample and coverage rules.
| Player | Role | Apps | Minutes | Goals | Assists | Impact |
|---|---|---|---|---|---|---|
| Mike Vestergård | Central midfielder | 31 | 3,544 | — | 2 | 40.7 |
| Igor Vekic | Goalkeeper | 28 | 3,420 | — | — | 44.2 |
| Christian Gammelgaard | Winger | 32 | 3,275 | 11 | 9 | 38.1 |
| Thomas Gundelund | Full back | 29 | 3,223 | — | 2 | 42.0 |
| Lasse Nielsen | Centre back | 27 | 3,193 | — | 1 | 50.6 |
| Stefan Velkov | Centre back | 20 | 2,609 | 6 | — | 43.3 |
| Christian Sørensen | Full back | 25 | 2,490 | — | 4 | 54.4 |
| Lasse Flø | Full back | 28 | 2,427 | 1 | 3 | 60.8 |
| T. BachMultiple teams | Winger | 21 | 2,375 | 5 | 5 | 37.6 |
| Mikkel Duelund | Winger | 25 | 2,302 | 13 | 1 | 46.0 |
| Valdemar Lund | Centre back | 18 | 2,032 | — | — | 39.8 |
| Mads Enggård | Central midfielder | 25 | 1,945 | — | 2 | 46.1 |
| Andrew Hjulsager | Winger | 24 | 1,916 | 2 | 5 | 48.9 |
| Amin Chiakha | Striker | 14 | 1,552 | 3 | — | 38.9 |
| Tobias Lauritsen | Winger | 15 | 1,156 | — | 2 | 40.8 |
| Bismark Edjeodji | Striker | 24 | 1,130 | 1 | 3 | 40.3 |
| Abdoulaye Camara | Striker | 19 | 870 | 1 | — | 25.4 |
| Anders Jacobsen | Winger | 8 | 641 | 4 | 2 | 42.7 |
| Tobias Haahr | Goalkeeper | 4 | 540 | — | — | Sample too small |
| Giorgi Tabatadze | Winger | 11 | 480 | 2 | 2 | 56.3 |
| Anders Sønderskov | Centre back | 5 | 464 | — | — | 23.0 |
| Wahid Faghir | Striker | 15 | 430 | 2 | — | 41.3 |
| Max Jensen | Winger | 10 | 350 | — | — | Sample too small |
| Jelle Duin | Striker | 6 | 332 | 1 | — | Sample too small |
| Hjalte Gitz Christensen | Centre back | 3 | 271 | — | — | Sample too small |
| Alexi Pitu | Role not established | 8 | 257 | — | — | Sample too small |
| Jonathan Amon | Role not established | 10 | 251 | — | — | Sample too small |
| Luka Hujber | Role not established | 2 | 118 | — | — | Sample too small |
| Masaki Murata | Role not established | 3 | 59 | — | — | Sample too small |
| Nicolas Alexander Gammelgaard Grøndal | Role not established | 2 | 15 | — | — | Sample too small |
| Sander Ravn | Role not established | 1 | 14 | — | — | Sample too small |
| Marius Elvius | Role not established | 2 | 14 | — | — | Sample too small |
| Tobias Lykkebak | Role not established | 1 | 10 | — | — | Sample too small |
Appearances and minutes cover completed fixtures only. Players who represented more than one team this season keep their full season sample and are flagged accordingly.
Player contributions
Leading contributors within this squad. Each list states the sample it is based on.
Most minutes
All completed fixtures this season.
- 1Mike Vestergård3544minutes
- 2Igor Vekic3420minutes
- 3Christian Gammelgaard3275minutes
- 4Thomas Gundelund3223minutes
- 5Lasse Nielsen3193minutes
Most goals
Season totals from imported match data.
- 1Mikkel Duelund13goals
- 2Christian Gammelgaard11goals
- 3Stefan Velkov6goals
- 4T. Bach5goals
- 5Anders Jacobsen4goals
Most assists
Season totals from imported match data.
- 1Christian Gammelgaard9assists
- 2T. Bach5assists
- 3Andrew Hjulsager5assists
- 4Christian Sørensen4assists
- 5Lasse Flø3assists
Highest Impact Score
Only players who meet the publishable sample and coverage rules.
- 1Lasse Flø60.8/ 100
- 2Giorgi Tabatadze56.3/ 100
- 3Christian Sørensen54.4/ 100
- 4Lasse Nielsen50.6/ 100
- 5Andrew Hjulsager48.9/ 100
Team strength
| Team Strength Score | 30.0 | 0–100 scale |
|---|---|---|
| Points per match | 0.75 | Component input |
| Goal difference per match | -0.75 | Component input |
| Goals scored per match | 1.13 | Context |
| Goals conceded per match | 1.88 | Context |
| Matches included | 32 | Completed fixtures only |
Team Strength is a transparent internal contextual metric (engine version 1) built from points per match and goal difference per match across completed fixtures. It is used to describe the quality of opposition a player faced. It is not an official league rating and carries no governing-body status. See the methodology for the full definition.
Methodology
Data source
Match, lineup, event and player statistics come from Sportmonks and are stored per fixture. Only completed fixtures with recorded minutes are aggregated — announced lineups and future fixtures are excluded.
Per 90 minutes
A per-90 value scales a season total to a full match: total × 90 ÷ minutes played. It is not calculated when minutes are missing or zero.
Missing data
The provider omits some statistics instead of sending a zero. A missing value is shown as "not available" and never converted to 0, so rates and percentiles are only produced where the underlying fields genuinely exist.
Impact Score
The Football Performance Lab Impact Score is an experimental in-house model that combines role-relative percentile families with explicit weights. It is not an official rating and not a measure of transfer value.
Minimum samples
Values are calculated internally from 180 minutes, but a player is only shown publicly with a ranked Impact Score from 360 minutes and 5 appearances, with at least 90% metric coverage and an established role. A single appearance contributes a match impact observation from 30 minutes.