Player dossier
Superliga · 2026/2027
Alexander Lind
- Team
- Nordsjælland
- Role
- Striker
- Nationality
- Denmark
- Date of birth
- 26 Jun 2002 (age 24)
- Shirt number
- 11
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
11 appearances · 676 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 11
- Starts
- 9
- Minutes
- 676
- Goals
- 4
- Assists
- 1
- Yellow cards
- 4
- Red cards
- Not available
0 unused substitute matchdays
Counted from match events
Counted from match events
Counted from match events
Provider rating & details
Provider match ratingAverage rating across 11 rated matches.Third-party match rating. Not used in FootyCabin scores.
7.00
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
59.9/ 100
Above average for their role
Early-season estimate · 11 appearances · 676 minutes as striker
Non-Penalty Finishing Score
84.4/ 100
Clearly above average for their role
Compared with strikers (26)
Attacking Threat Score
78.1/ 100
Clearly above average for their role
Compared with strikers (26)
Creative Impact Score
81.6/ 100
Clearly above average for their role
Compared with strikers (26)
How the Impact Score is built
- Duelweight 15%
- 63.9
- Passingweight 10%
- 54.5
- Creationweight 20%
- 71.3
- Shootingweight 35%
- 49.3
- Dribblingweight 10%
- 81.5
- Ball retentionweight 10%
- 51.9
An experimental in-house model based on available match data. It weights role-relative percentile families and is not an official rating, a definitive measure of player quality, or a prediction.
Playing style
How this player tends to contribute, compared with players in the same role and season. Style, not quality.
Creative Forward
Strong matchCreates for team mates as much as he shoots.
Why this style
- Chances created per 9098th
- Key passes per 9098th
- Big chances created per 9079th
Archetypes describe statistical playing style, not player quality. How this is built
Player profile
See where the player ranks compared with others in the same role. A percentile of 80 means the player ranks higher than 80% of the comparison group. Only areas relevant to the role are shown. Only areas relevant to striker are shown.
Dashed ring marks the striker median (50th percentile) across 26 comparable players.
| Shooting | 49 |
|---|---|
| Creation | 71 |
| Ball retention | 52 |
| Duel | 64 |
| Dribbling | 82 |
| Passing | 54 |
| Defensive | 44 |
Percentile against the same role family in this season and competition. Role only, not the whole league. Season 2026/2027
Percentile detail
Compared with Striker players in this season26 in reference group
- Shooting49.3pctl
- Creation71.3pctl
- Ball retention51.9pctl
- Duel63.9pctl
- Dribbling81.5pctl
- Passing54.5pctl
- Defensive44.3pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Kieron BowieVery similar style99 / 100
Hibernian · Striker · Premiership 2025/2026
Similar in ball security, passing, shooting. Different in dribbling, defensive activity.
- Ísak Snær ThorvaldssonVery similar style95 / 100
Lyngby Boldklub · Striker · Superliga 2026/2027 · Creative Forward
Similar in defensive duels, defensive activity, passing. Different in dribbling, shooting.
- Kevin NisbetVery similar style95 / 100
Aberdeen · Striker · Premiership 2025/2026 · Creative Forward
Similar in ball security, defensive duels, aerial play. Different in dribbling, attacking involvement.
Show 2 more similar players
- Dan NlunduluVery similar style94 / 100
St. Mirren · Striker · Premiership 2025/2026 · Creative Forward
Similar in defensive duels, ball security, attacking involvement. Different in shooting, chance creation.
- Friday EtimVery similar style94 / 100
Striker · Superliga 2025/2026 · Creative Forward
Similar in dribbling, defensive duels, shooting. Different in aerial play, defensive activity.
How similarity works
Similarity compares playing profiles inside the same role family. A score of 92 means the pair is closer than 92% of comparable player pairs. It is not a rating of ability, market value or transfer suitability.
Form & context
Recent form, development and match context from completed fixtures. These figures add context to the scores above and are not official ratings or predictions.
- Form
- 68.1
- Rising strongly
- Shows whether recent performances have been better or worse than earlier in the season.
- Development
- 65.8
- Some upward signs
- Looks at recent performances, playing time and starts to spot signs that a player is improving. It is not a prediction.
- Decline
- 34.2
- No clear decline
- Looks for signs that the player's performances and playing time are dropping. It is not a prediction.
- Opposition strength
- 51.7
- Around average
- Shows how strong the opponents have been. It is context only and does not change the Impact Score.
Team effect and success rates
Compares team points per completed match when the player starts and when he does not. This describes results, not proof that the player caused them.
- Started
- 1.33pts/match
- 9 fixtures
- Did not start
- 2.00pts/match
- 4 fixtures
- Difference
- −0.67
Shows how often the player's actions lead to successful results.
51.8Around average · Coverage 80%
Efficiency Score components
- shot_on_target_rateweight 40%
- 0.39
- aerial_win_rateweight 20%
- Not available
- pass_accuracyweight 20%
- 0.73
- dribble_successweight 20%
- 0.56
| Metric | Rate |
|---|---|
| Pass accuracy | 73.0% |
| Dribble success rate | 56.3% |
| Duel win rate | 45.0% |
| Aerial duel win rate | Not available |
| Tackle success rate | 100.0% |
| Shot on target rate | 38.9% |
| Long ball accuracy | 50.0% |
Alexander Lind · 0–100% scale
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.