Player dossier

Superliga · 2026/2027

Alexander Lind

Striker
Role
Striker
Nationality
Denmark
Date of birth
26 Jun 2002 (age 24)
Shirt number
11
Season
2026/2027

All players

02 / Defending

Defending

Season figures recorded by the data provider, with a per-90 view where it makes sense. A statistic the provider never recorded is shown as not available, never as zero.

Defensive Activity Score

43.8/ 100

Close to average for their role

How often the player makes defensive actions: tackles, interceptions, recoveries, clearances and blocks.

Compared with strikers (25) · Statistics available 100%

What goes into this score
Tackles per 9025%
0.45
Interceptions per 9025%
0.22
Ball recoveries per 9020%
2.90
Clearances per 9015%
2.46
Shots blocked per 9015%
0.45
Defensive activitySeason · Per 90

How often the player defends the ball back for the team.

Defensive activity statistics
MetricSeasonPer 90
Tackles20.45
Interceptions10.22
Ball recoveries132.90
Clearances112.46
Shots blocked20.45
Fouls committed71.56
Fouls won112.46
View defending rankings
Possession-adjusted defendingPer 30 opponent-possession min

Adjusts defensive activity for how much time the player's team spends without the ball, making players from high- and low-possession teams easier to compare.

Possession-adjusted defending
MetricAdjusted
Possession-adjusted tacklesNot enough data
Possession-adjusted interceptionsNot enough data
Possession-adjusted recoveries2.11
Possession-adjusted clearances1.90
Possession-adjusted defensive actionsNot enough data

For every appearance we take the player's minutes and the opponent's own recorded possession in that fixture, and multiply them to get opponent-possession minutes. Season actions from those fixtures are then divided by the summed opponent-possession minutes and shown per 30 of them. Based on 191 opponent-possession minutes across 7 matches (100% of recorded minutes).

TacklingSeason · Per 90

Tackle volume and how often the tackle comes off.

Tackling statistics
MetricSeasonPer 90
Tackles20.45
Tackles won20.45
Tackle success rate100.0%
Last-man tacklesNot available
View defending rankings
DuelsSeason · Per 90

All one-against-one contests, on the ground and in the air.

Duels statistics
MetricSeasonPer 90
Duels6414.29
Duels won276.03
Duels lost378.26
Duel win rate42.2%
View defending rankings
AerialsSeason · Per 90

Contests in the air.

Aerials statistics
MetricSeasonPer 90
Aerial duels won102.23
Aerial duels lost132.90
Aerial win rateNot available
View aerials rankings

Defensive Reliability Score

16.7/ 100

Below average for their role

How dependable the player is when defending: winning the contest rather than being beaten, and avoiding mistakes and fouls.

Compared with strikers (25) · Statistics available 75%

What goes into this score
Dribbled past per 90 (lower is better)30%
0.45
Tackle success rate25%
Not available
Errors leading to a shot per 90 (lower is better)20%
0.22
Duel win rate15%
0.42
Fouls committed per 90 (lower is better)10%
1.56
Defensive reliabilitySeason · Per 90

Mistakes and discipline recorded while defending.

Defensive reliability statistics
MetricSeasonPer 90
Dribbled past20.45
Errors leading to a shot10.22
Errors leading to a goalNot available
Penalties concededNot available
Clearances off the line10.22
Yellow cards20.45
Red cardsNot available
Own goalsNot available
View defending rankings
11 / Method

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.

Full methodology