Player dossier

Superliga · 2025/2026

Daniel Wass

Defensive midfielder
Role
Defensive midfielder
Nationality
Denmark
Date of birth
31 May 1989 (age 37)
Shirt number
10
Season
2025/2026

All players

01 / Record

Performance summary

4 appearances · 268 minutesEarly sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
4
Starts
3

11 unused substitute matchdays

Minutes
268
Average rating
6.80

Sportmonks rating · 4 rated matches

Goals
0

Counted from match events

Assists
0

Counted from match events

Yellow cards
0

Counted from match events

Red cards
1
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 9040.63
Passes per 9024.85
Accurate passes per 9030.22
Passes in final third per 904.37
Key passes per 900.67
Chances created per 90Not available
Shots per 901.01
Shots on target per 900.34
Successful dribbles per 900.67
Tackles per 900.67
Interceptions per 902.69
Clearances per 901.34
Ball recoveries per 904.70
Duels per 906.38
Goals per 90Not available
Assists per 90Not available
Possession lost per 908.06
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 901.01
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy100.0%
Dribble success rate100.0%
Duel win rate68.4%
Aerial duel win rate100.0%
Tackle success rate100.0%
Shot on target rate33.3%
Long ball accuracy27.3%
04 / Role telemetry

Performance profile

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

Role-relative telemetryPercentile 0-100

Compared with Defensive midfielder players in this season33 in reference group

  • Passing50.0pctl
  • Ball retention64.1pctl
  • Defensive40.3pctl
  • Duel71.8pctl
  • Creation35.9pctl
  • Dribbling81.6pctl
  • Shooting59.4pctl
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

Insufficient sample

Needs 360 minutes and 5 appearances

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

Coverage 100%

Opposition Index

58.4/ 100

Balanced schedule

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

4 rated opponents

Momentum Index

Insufficient sample

Needs 4 scored matches and the publishable season sample

Recent scored match impacts against the player's earlier observations.

Breakout Index

Insufficient sample

Insufficient sample

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

Decline Index

Insufficient sample

Insufficient sample

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

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 904.37
Key passes per 900.67
Chances created per 90Not available
Big chances created per 90Not available
Crosses per 901.34
Shots per 901.01
Successful dribbles per 900.67

Team effect

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

Started3 fixtures1.67pts/match
Did not start30 fixtures1.33pts/match

Difference: +0.34 points per match. This is a description of results only and does not establish that the player caused them.

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.

PASS 50RET 64DEF 40DUEL 72CREA 36DRIB 82SHOT 59
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Passing50.0
Ball retention64.1
Defensive40.3
Duel71.8
Creation35.9
Dribbling81.6
Shooting59.4

Dashed ring marks the defensive midfielder median (50th percentile) across 33 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Impact score will appear after a larger sample. Publication requires 360 minutes, 5 appearances, at least 90% metric coverage and an established role.

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
01 Mar 2026FC Midtjylland0–0Away776.6100039.6
23 Feb 2026Sønderjyske Fodbold0–0Home32sub7.0500091.6
27 Oct 2025Odense BK4–1Away696.5400063.3
19 Oct 2025AGF3–3Home906.9900054.8

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
4
Minutes
268
Average opponent strength
58.4Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: FC Midtjylland, Sønderjyske Fodbold, Odense BK, AGF.

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
Pedro BravoFC MidtjyllandDefensive midfielder52.7Compare
Tobias KlysnerSønderjyske FodboldDefensive midfielder51.3Compare
Denil CastilloFC MidtjyllandDefensive midfielder51.1Compare
PaulinhoFC MidtjyllandDefensive midfielder54.7Compare
Frederik LauenborgRanders FCDefensive midfielder55.1Compare

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