Aberdeen
Aberdeen are 8th in the Premiership after 7 matches in the 2026/2027 season. They have won 2 matches, scored 7 goals and conceded 8.
They average 1.00 goals per match and have kept a clean sheet in 29% of their league matches.
- Competition
- Premiership (Scotland)
- Season
- 2026/2027
- Position
- 8 of 12Based on completed matches
- Team Strength
- 41.9FootyCabin rating, 0–100
- Founded
- 1903
- Form
- Loss
- Loss
- Loss
- Draw
- Win
- Draw
Team intelligence
What stands out
- Low Volume / High ConversionFewer shots than the league average, but a higher scoring rate.
- Limited TerritoryLess possession than most teams, with an average number of corners.
- Failed to scoreFailed to score in 57% of league matches.
- Scoring timing57% of goals scored in minutes 76–90+.
Season summary
Calculated from completed matches only. Scheduled matches are never counted.
- Matches played
- 7
- Wins
- 2
- Draws
- 2
- Losses
- 3
- Goals scored
- 7
- Goals conceded
- 8
- Goal difference
- -1
- Points
- 8
1.14 per match
Efficiency Rates
Success rates for passing, shooting, dribbling, duels and defending.
| Statistic | Rate |
|---|---|
| Pass accuracy | 76.2% |
| Shots on target rate | 25.8% |
| Dribble success | 45.6% |
| Duel win rate | 52.6% |
| Aerial win rate | 77.8% |
| Tackle success | 60.0% |
0–100% scale
Team performance
Team totals built from recorded player statistics in 7 completed matches.
| Statistic | Total | Per match | Matches with data |
|---|---|---|---|
| Shots | 62 | 8.86 | 7 |
| Shots on target | 16 | 2.67 | 6 |
| Passes | 2,389 | 341.29 | 7 |
| Accurate passes | 1,820 | 260.00 | 7 |
| Passes into the final third | 312 | 44.57 | 7 |
| Key passes | 44 | 6.29 | 7 |
| Chances created | 42 | 6.00 | 7 |
| Successful dribbles | 31 | 4.43 | 7 |
| Tackles | 110 | 15.71 | 7 |
| Interceptions | 57 | 8.14 | 7 |
| Clearances | 212 | 30.29 | 7 |
| Ball recoveries | 278 | 39.71 | 7 |
| Duels | 568 | 81.14 | 7 |
| Duels won | 299 | 42.71 | 7 |
| Aerial duels | 117 | 19.50 | 6 |
| Aerial duels won | 91 | 13.00 | 7 |
| Goalkeeper saves | 29 | 4.83 | 6 |
These are calculated from player data rather than official team totals. A dash or "not available" means no value was recorded. It never means zero.
How this team plays
See how this team's playing style compares with the rest of the league. Higher scores mean the team shows more of that style, not that it is better.
Team style
Low-Possession Defence
Sees less of the ball than most league teams and records more defensive activity.
Style summary: Defensive Activity. A descriptive summary of the profile below, not a rating.
- Possession21
Possession is below the league average. (45.1%, 7 fixtures)
- Attacking output4
Attacking output is well below the league average. (10.00 per match, 7 fixtures)
- Chance creation4
Chance creation is well below the league average. (6.86 per match, 7 fixtures)
- Defensive activity71
Defensive activity is above the league average. (76.14 per match, 7 fixtures)
- Ball security21
Ball security is below the league average. (77.6%, 7 fixtures)
Scores run from 0 to 100 and compare this team with the 12 teams in the same league and season. Higher means more of that characteristic, not better.
Style context
Shows how this team's playing-style characteristics relate to league performance patterns this season.
This is descriptive context, not evidence that a playing style causes better or worse results.
- Attacking outputTeam score: 4High-attacking output teams: 1.96 points / matchLow-attacking output teams: 0.92 points / match
This team is in the league's low-attacking output group.
High-attacking output teams average 1.04 more points per match than low-attacking output teams.
- PossessionTeam score: 21High-possession teams: 2.02 points / matchLow-possession teams: 1.04 points / match
This team is in the league's low-possession group.
High-possession teams average 0.98 more points per match than low-possession teams.
- Chance creationTeam score: 4High-chance creation teams: 2.08 points / matchLow-chance creation teams: 1.14 points / match
This team is in the league's low-chance creation group.
High-chance creation teams average 0.94 more points per match than low-chance creation teams.
Possession profile
Territory context
Limited Territory
Less possession than most teams, with an average number of corners.
- Possession:
- 21 / 100
- Corners:
- 46 / 100
Scores run from 0 to 100 and compare this team with the rest of the league. Higher means more of that characteristic, not better performance.
- Average possession
- 45.1%
- Home
- 50.0%
- Away
- 41.5%
Based on 7 of 7 completed matches.
Recent results
Latest completed matches, newest first.
| Date | Opponent | Venue | Score | Result | Competition |
|---|---|---|---|---|---|
| 19 Sept 2026 | Hibernian | Away | 1–1 | Draw | Premiership |
| 15 Sept 2026 | Motherwell | Away | 4–0 | Win | Premiership |
| 05 Sept 2026 | Kilmarnock | Home | 0–0 | Draw | Premiership |
| 02 Sept 2026 | Celtic | Away | 0–3 | Loss | Premiership |
| 30 Aug 2026 | Rangers | Home | 0–1 | Loss | Premiership |
| 08 Aug 2026 | Dundee | Away | 0–2 | Loss | Premiership |
| 01 Aug 2026 | Hearts | Home | 2–1 | Win | Premiership |
Home and away
Home and away records this season. One of the samples is still small, so early comparisons should be treated with caution.
| Split | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|
| Home | 3 | 1 | 1 | 1 | 2 | 2 | 0 | 4 |
| Away | 4 | 1 | 1 | 2 | 5 | 6 | -1 | 4 |
Attack & defence
How the team has performed in attack and defence across completed league matches this season.
Attack
Defence
Match pattern
Standout players
The team's leading players by FootyCabin Impact Score this season. Players are shown once they have enough match data.
- 2Daniel HappeView player
Centre back
Impact 53.4·Defensive Activity 61.7
Aerial Defender
Best category: Defensive Activity
- 3Afeez AremuView player
Defensive midfielder
Impact 52.5·Defensive Activity 93.8
Ball-Winning Midfielder
Best category: Defensive Activity
Squad
Players used this season, ordered by minutes played. Impact Score is shown once a player has enough match data.
| Player | Role | |||||
|---|---|---|---|---|---|---|
| Marius Müller | Goalkeeper | 7 | 630 | — | 1 | 47.1 |
| Chris Cadden | Full back | 7 | 613 | — | — | Sample too small |
| Nesta Guinness-Walker | Full back | 7 | 607 | — | — | 50.1 |
| Kevin Nisbet | Striker | 7 | 542 | 3 | 2 | 47.9 |
| Toyosi Olusanya | Winger | 7 | 501 | — | — | 28.8 |
| Afeez Aremu | Defensive midfielder | 7 | 498 | — | — | 52.5 |
| Lewis Mayo | Centre back | 6 | 471 | 1 | — | 31.7 |
| Daniel Happe | Centre back | 6 | 382 | — | — | 53.4 |
| Stuart Armstrong | Winger | 7 | 381 | — | — | 56.8 |
| Connor Ronan | Winger | 5 | 341 | 1 | 1 | Sample too small |
| Mats Knoester | Centre back | 4 | 302 | — | — | Sample too small |
| Gavin Molloy | Centre back | 5 | 285 | 1 | 1 | Sample too small |
| Tony Yogane | Winger | 4 | 211 | — | — | Sample too small |
| Findlay Marshall | Central midfielder | 4 | 205 | — | — | Sample too small |
| Ayoub Mouloua | Striker | 7 | 200 | 1 | — | Sample too small |
| Lewis Smith | Winger | 5 | 194 | — | — | Sample too small |
| Alexander Briedl | Winger | 5 | 164 | — | — | Sample too small |
| Jack Milne | Centre back | 4 | 157 | — | — | Sample too small |
| Mitchy Ntelo | Winger | 3 | 153 | — | — | Sample too small |
| Brad Lyons | Defensive midfielder | 1 | 90 | — | — | Sample too small |
| Andrew Fasanya | Role not established | 1 | 3 | — | — | Sample too small |
Appearances and minutes are from completed matches. Players who have played for more than one club this season are marked.
Squad by role
Players grouped by position. Impact data is shown only when there is enough match data.
Centre back
- View player
- Lewis MayoView player
Impact 31.7·Ball Security 32.6
Full back
Defensive midfielder
Winger
- Stuart ArmstrongView player
Impact 56.8·Creative Impact 95.5
- Toyosi OlusanyaView player
Impact 28.8·Defensive Activity 3.4
Team impact leaders
The team's highest Impact Scores this season, alongside each player's playing style. Playing style describes how they play, not how good they are. How this is built
- 1Stuart ArmstrongWingerArchetype not available56.8/100
- 2Daniel HappeCentre backAerial Defender53.4/100
- 3Afeez AremuDefensive midfielderBall-Winning Midfielder52.5/100
Squad archetype profile
The most common playing styles in the squad this season.
Not enough players in this squad have a published archetype this season to show a meaningful distribution.
Player contributions
Team leaders for minutes, goals, assists and Impact Score this season.
Most minutes
All completed fixtures this season.
- 1Marius Müller630minutes
- 2Chris Cadden613minutes
- 3Nesta Guinness-Walker607minutes
- 4Kevin Nisbet542minutes
- 5Toyosi Olusanya501minutes
Most goals
Season totals from imported match data.
- 1Kevin Nisbet3goals
- 2Lewis Mayo1goals
- 3Connor Ronan1goals
- 4Gavin Molloy1goals
- 5Ayoub Mouloua1goals
Most assists
Season totals from imported match data.
- 1Kevin Nisbet2assists
- 2Marius Müller1assists
- 3Connor Ronan1assists
- 4Gavin Molloy1assists
Highest Impact Score
Only players who meet the publishable sample and coverage rules.
- 1Stuart Armstrong56.8/ 100
- 2Daniel Happe53.4/ 100
- 3Afeez Aremu52.5/ 100
- 4Nesta Guinness-Walker50.1/ 100
- 5Kevin Nisbet47.9/ 100
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.