AGF
AGF in the Superliga, 2026/2027 season. All figures on this page are calculated from completed fixtures only.
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
- Position
- 10 of 12Provisional, from completed fixtures in our data
- Team Strength
- 33.3Internal contextual metric, 0–100
- Founded
- 1902
Season summary
Calculated from completed fixtures only. Scheduled fixtures are never counted.
- Matches played
- 4
- Wins
- 0
- Draws
- 3
- Losses
- 1
- Goals scored
- 6
- Goals conceded
- 7
- Goal difference
- -1
- Points
- 3
0.75 per match
Form
A plain sequence of results — no weighting or momentum model is applied here.
- Draw
- Draw
- Loss
- Draw
Oldest to most recent, completed fixtures only. 4 matches shown.
Team performance
Aggregated player data: team volumes summed from the individual player statistics of 4 fixtures. These are not official provider team statistics.
| Metric | Total | Per match | Matches with data |
|---|---|---|---|
| Shots | 74 | 18.50 | 4 |
| Shots on target | 18 | 4.50 | 4 |
| Passes | 1,955 | 488.75 | 4 |
| Accurate passes | 1,648 | 412.00 | 4 |
| Passes into the final third | 219 | 54.75 | 4 |
| Key passes | 49 | 12.25 | 4 |
| Chances created | 48 | 12.00 | 4 |
| Successful dribbles | 46 | 11.50 | 4 |
| Tackles | 65 | 16.25 | 4 |
| Interceptions | 45 | 11.25 | 4 |
| Clearances | 96 | 24.00 | 4 |
| Ball recoveries | 168 | 42.00 | 4 |
| Duels | 409 | 102.25 | 4 |
| Duels won | 217 | 54.25 | 4 |
| Aerial duels | 50 | 12.50 | 4 |
| Aerial duels won | 37 | 9.25 | 4 |
| Goalkeeper saves | 8 | 2.67 | 3 |
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 | 84.3% |
| Shots on target rate | 24.3% |
| Dribble success | 59.0% |
| Duel win rate | 53.1% |
| Aerial win rate | 74.0% |
| Tackle success | 56.9% |
Recent results
Most recent completed fixtures, newest first.
| Date | Opponent | Venue | Score | Result | Competition |
|---|---|---|---|---|---|
| 23 Aug 2026 | Odense BK | Home | 2–2 | Draw | Superliga |
| 14 Aug 2026 | Viborg FF | Away | 1–2 | Loss | Superliga |
| 01 Aug 2026 | Lyngby Boldklub | Away | 2–2 | Draw | Superliga |
| 25 Jul 2026 | Brøndby IF | Home | 1–1 | Draw | Superliga |
Home and away
One or both splits cover fewer than four completed fixtures, so these records are indicative only.
| Split | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|
| Home | 2 | 0 | 2 | 0 | 3 | 3 | 0 | 2 |
| Away | 2 | 0 | 1 | 1 | 3 | 4 | -1 | 1 |
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 |
|---|---|---|---|---|---|---|
| Frederik Emmery | Defensive midfielder | 4 | 320 | 1 | 1 | Sample too small |
| Kristian Arnstad | Attacking midfielder | 4 | 296 | 2 | — | Sample too small |
| Eric Kahl | Centre back | 4 | 287 | — | — | Sample too small |
| Gift Links | Defensive midfielder | 3 | 268 | — | — | Sample too small |
| Tobias Bech | Attacking midfielder | 4 | 263 | — | — | Sample too small |
| Mouhammade Camara | Centre back | 3 | 247 | — | — | Sample too small |
| Sebastian Jørgensen | Attacking midfielder | 3 | 241 | — | 1 | Sample too small |
| Mikael Anderson | Defensive midfielder | 3 | 223 | — | — | Sample too small |
| Magnus Knudsen | Central midfielder | 4 | 222 | — | 1 | Sample too small |
| James Bogere | Striker | 4 | 209 | 1 | — | Sample too small |
| Jacob Andersen | Centre back | 3 | 207 | — | — | Sample too small |
| Jesper Hansen | Goalkeeper | 2 | 180 | — | — | Sample too small |
| Mads Hedenstad | Goalkeeper | 2 | 180 | — | — | Sample too small |
| Markus Solbakken | Defensive midfielder | 2 | 125 | — | 1 | Sample too small |
| Jens Jönsson | Defensive midfielder | 2 | 119 | 1 | — | Sample too small |
| Frederik Tingager | Centre back | 2 | 102 | — | — | Sample too small |
| Janni Serra | Striker | 2 | 90 | — | — | Sample too small |
| Rasmus Carstensen | Role not established | 3 | 84 | 1 | — | Sample too small |
| Tobias Mölgaard | Centre back | 2 | 71 | — | — | Sample too small |
| Luka Callø | Role not established | 2 | 69 | — | — | Sample too small |
| C. Storch | Centre back | 1 | 65 | — | — | Sample too small |
| O. Haugstrup | Defensive midfielder | 1 | 46 | — | — | Sample too small |
| Stefen Tchamche | Role not established | 1 | 25 | — | — | Sample too small |
| Jonas Jensen-Abbew | Role not established | 1 | 14 | — | — | Sample too small |
| Tómas Óli Kristjánsson | Role not established | 2 | 7 | — | — | 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.
- 1Frederik Emmery320minutes
- 2Kristian Arnstad296minutes
- 3Eric Kahl287minutes
- 4Gift Links268minutes
- 5Tobias Bech263minutes
Most goals
Season totals from imported match data.
- 1Kristian Arnstad2goals
- 2Frederik Emmery1goals
- 3James Bogere1goals
- 4Jens Jönsson1goals
- 5Rasmus Carstensen1goals
Most assists
Season totals from imported match data.
- 1Frederik Emmery1assists
- 2Sebastian Jørgensen1assists
- 3Magnus Knudsen1assists
- 4Markus Solbakken1assists
Team strength
| Team Strength Score | 33.3 | 0–100 scale |
|---|---|---|
| Points per match | 0.75 | Component input |
| Goal difference per match | -0.25 | Component input |
| Goals scored per match | 1.50 | Context |
| Goals conceded per match | 1.75 | Context |
| Matches included | 4 | 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.