Player dossier

Superliga · 2025/2026

Zanka

Centre back
Role
Centre back
Nationality
Denmark
Date of birth
23 Apr 1990 (age 36)
Shirt number
25
Season
2025/2026

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

52.0/ 100

Slightly above average for their role

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

Compared with centre backs (51) · Statistics available 100%

What goes into this score
Tackles per 9025%
1.30
Interceptions per 9025%
0.81
Ball recoveries per 9020%
4.06
Clearances per 9015%
5.28
Shots blocked per 9015%
0.32
Defensive activitySeason · Per 90

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

Defensive activity statistics
MetricSeasonPer 90
Tackles161.30
Interceptions100.81
Ball recoveries504.06
Clearances655.28
Shots blocked40.32
Fouls committed70.57
Fouls won50.41
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 recoveries3.05
Possession-adjusted clearances3.96
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 492 opponent-possession minutes across 12 matches (100% of recorded minutes).

TacklingSeason · Per 90

Tackle volume and how often the tackle comes off.

Tackling statistics
MetricSeasonPer 90
Tackles161.30
Tackles won100.81
Tackle success rate71.4%–
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
Duels786.33
Duels won504.06
Duels lost201.62
Duel win rate64.1%–
View defending rankings
AerialsSeason · Per 90

Contests in the air.

Aerials statistics
MetricSeasonPer 90
Aerial duels won282.27
Aerial duels lost120.97
Aerial win rateNot available–
View aerials rankings

Defensive Reliability Score

58.3/ 100

Above 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 centre backs (51) · Statistics available 80%

What goes into this score
Dribbled past per 90 (lower is better)30%
0.65
Tackle success rate25%
0.71
Errors leading to a shot per 90 (lower is better)20%
Not available
Duel win rate15%
0.64
Fouls committed per 90 (lower is better)10%
0.57
Defensive reliabilitySeason · Per 90

Mistakes and discipline recorded while defending.

Defensive reliability statistics
MetricSeasonPer 90
Dribbled past80.65
Errors leading to a shotNot available–
Errors leading to a goal10.08
Penalties concededNot available–
Clearances off the lineNot available–
Yellow cards30.24
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