Player dossier

Superliga · 2025/2026

Theo Sander

Goalkeeper
Role
Goalkeeper
Nationality
Denmark
Date of birth
08 Jan 2005 (age 21)
Shirt number
30
Season
2025/2026

All players

01 / Record

Performance summary

5 appearances · 450 minutesDeveloping sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
5
Starts
5

26 unused substitute matchdays

Minutes
450
Average rating
6.44

Sportmonks rating · 5 rated matches

Goals
0

Counted from match events

Assists
0

Counted from match events

Yellow cards
0

Counted from match events

Red cards
Not available
02 / Telemetry

Per-90 statistics

Season totals scaled to 90 minutes played. Metrics the provider did not record are marked as not available rather than zero.

Per-90 data sheetSeason to date
Per-90 statistics
MetricPer 90
Touches per 9049.20
Passes per 9038.80
Accurate passes per 9032.60
Passes in final third per 903.00
Key passes per 90Not available
Chances created per 90Not available
Shots per 90Not available
Shots on target per 90Not available
Successful dribbles per 90Not available
Tackles per 90Not available
Interceptions per 90Not available
Clearances per 902.00
Ball recoveries per 9010.60
Duels per 900.80
Goals per 90Not available
Assists per 90Not available
Possession lost per 906.40
Saves per 901.60
Saves inside box per 900.80
Goals conceded per 902.40
03 / Telemetry

Efficiency

Success rates computed only where both the numerator and the denominator exist.

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy84.0%
Dribble success rateNot available
Duel win rate100.0%
Aerial duel win rate100.0%
Tackle success rateNot available
Shot on target rateNot available
Long ball accuracy47.5%
04 / Role telemetry

Performance profile

Percentiles compare this player with others in the same role and season. Only families relevant to goalkeeper are shown.

Role-relative telemetryPercentile 0-100

Compared with Goalkeeper players in this season17 in reference group

  • Goalkeeping26.5pctl
  • Passing75.5pctl
  • Ball retention85.3pctl
05 / Intelligence

Player Intelligence

Experimental in-house signals derived from completed fixtures only. They describe what the data shows — they are not official ratings, and they are not predictions.

Performance telemetryExperimental signals

Efficiency Index

65.7/ 100

Above average

Useful output divided by relevant attempted actions, weighted for the player's role.

Coverage 100%

Opposition Index

50.9/ 100

Balanced schedule

Minutes-weighted strength of the opponents actually faced. Context only — it does not adjust the Impact Score.

5 rated opponents

Momentum Index

38.5/ 100

Slightly declining

Last 2 scored matches 53.1 vs earlier 58.9 (−5.8).

Breakout Index

40.1/ 100

No upward signal

Signal, not a prediction: recent impact, minutes and starting involvement, read against role-relative standing and opponent strength.

Minutes 0Starts 0pp

Decline Index

59.9/ 100

No clear movement

The same development axis read downwards. A signal of sustained negative movement, not a prediction.

5 scored matches

Final-third profile

Per-90 attacking output from fields the provider actually records. Expected goals, expected assists and spatial metrics are not available in this data and are not estimated.

Final-third profile per 90
MetricPer 90
Passes in final third per 903.00
Key passes per 90Not available
Chances created per 90Not available
Big chances created per 90Not available
Crosses per 90Not available
Shots per 90Not available
Successful dribbles per 90Not available

Team effect

Observational, not causal: team points per completed fixture with and without this player in the starting eleven.

Started5 fixtures0.80pts/match
Did not start27 fixtures1.37pts/match

Difference: −0.57 points per match. This is a description of results only and does not establish that the player caused them.

Efficiency Index components
Pass accuracyweight 50%
84.0%
Long ball accuracyweight 50%
47.5%
05.1 / Player telemetry · ProfilePercentile 0-100

Role-relative percentiles from the 2025/2026 season. Only metrics relevant to this player's role are shown.

GK 26PASS 75RET 85
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Goalkeeping26.5
Passing75.5
Ball retention85.3

Dashed ring marks the goalkeeper median (50th percentile) across 17 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

47.6/ 100

Assessment

Developing-sample estimate

5 appearances · 450 minutes

Experimental modelCoverage 100%Developing sample

Based on available match data — 5 appearances · 450 minutes as goalkeeper.

Component breakdown

Passingweight 25%
75.5
Goalkeepingweight 60%
26.5
Ball retentionweight 15%
85.3

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.

07 / Match record

Match history

Completed fixtures with recorded minutes, most recent first.

Match recordMost recent first
Recent completed matches with minutes and output
DateOpponentVenueMinRatingGAYCImpact
14 Sept 2025Silkeborg IF1–2Away906.5200055.2
31 Aug 2025Nordsjælland1–2Home906.2700051.1
23 Aug 2025FC København1–1Away906.8400067.9
18 Aug 2025AGF1–5Home906.2600069.0
11 Aug 2025Randers FC3–2Home906.3100039.8

Goals, assists and yellow cards are counted from recorded match events, so a 0 means the event did not occur. A dash means the provider sent no value — it never means zero. Match impact is only shown for appearances of at least 30 minutes with sufficient metric coverage.

08 / Season archive

Season context

Competition
Superliga
Season
2025/2026
Appearances
5
Minutes
450
Average opponent strength
50.9Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Silkeborg IF, Nordsjælland, FC København, AGF, Randers FC.

09 / Season on season

Season on season

Stored season figures for this season next to the previous season of the same competition. Presentation only — no new score is calculated.

No comparable previous season is recorded for this player in this competition.

A comparison is shown only when this player has a published season record in both this season and the previous season of the same competition.

10 / Cross-reference

Compare similar players

Players with a comparable Impact Score profile
PlayerTeamRoleImpactCompare
Jannich StorchRanders FCGoalkeeper47.9Compare
Jesper HansenAGFGoalkeeper46.3Compare
Igor VekicVejle BoldklubGoalkeeper44.2Compare
Elías ÓlafssonFC MidtjyllandGoalkeeper52.0Compare
Nicolai FløSønderjyske FodboldGoalkeeper42.6Compare

Comparable players share the same season and, where possible, the same role, ranked by how close their existing Impact Score is. No new metric is calculated here.

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