Player dossier

Superliga · 2025/2026

Valdemar Byskov

Defensive midfielder
Role
Defensive midfielder
Nationality
Denmark
Date of birth
25 Jan 2005 (age 21)
Shirt number
20
Season
2025/2026

All players

01 / Record

Performance summary

28 appearances · 1,493 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
28
Starts
10

4 unused substitute matchdays

Minutes
1,493
Average rating
6.97

Sportmonks rating · 28 rated matches

Goals
7

Counted from match events

Assists
3

Counted from match events

Yellow cards
3

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 9056.91
Passes per 9040.99
Accurate passes per 9032.67
Passes in final third per 907.66
Key passes per 902.17
Chances created per 901.51
Shots per 902.41
Shots on target per 901.02
Successful dribbles per 900.66
Tackles per 901.39
Interceptions per 900.84
Clearances per 900.90
Ball recoveries per 908.14
Duels per 908.68
Goals per 900.66
Assists per 900.18
Possession lost per 9015.31
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 901.02
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy79.7%
Dribble success rate39.3%
Duel win rate42.4%
Aerial duel win rate50.0%
Tackle success rate65.2%
Shot on target rate42.5%
Long ball accuracy53.8%
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

  • Passing55.1pctl
  • Ball retention29.8pctl
  • Defensive36.4pctl
  • Duel33.9pctl
  • Creation83.3pctl
  • Dribbling48.5pctl
  • Shooting93.3pctl
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

62.3/ 100

Above average

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

Coverage 100%

Opposition Index

48.1/ 100

Balanced schedule

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

28 rated opponents

Momentum Index

47.2/ 100

Steady form

Last 2 scored matches 56.4 vs earlier 57.7 (−1.4).

Breakout Index

45.5/ 100

No clear movement

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

Minutes −8Starts −6pp

Decline Index

54.5/ 100

No clear movement

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

18 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 905.73
Key passes per 901.75
Chances created per 901.33
Big chances created per 900.30
Crosses per 902.83
Shots per 901.81
Successful dribbles per 900.48

Team effect

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

Started10 fixtures2.00pts/match
Did not start22 fixtures1.82pts/match

Difference: +0.18 points per match. This is a description of results only and does not establish that the player caused them.

Efficiency Index components
Pass accuracyweight 35%
79.7%
Duel win rateweight 25%
42.4%
Tackle success rateweight 25%
65.2%
Aerial duel win rateweight 15%
50.0%
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 55RET 30DEF 36DUEL 34CREA 83DRIB 49SHOT 93
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Passing55.1
Ball retention29.8
Defensive36.4
Duel33.9
Creation83.3
Dribbling48.5
Shooting93.3

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

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

44.3/ 100

Assessment

Established-sample estimate

28 appearances · 1,493 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 28 appearances · 1,493 minutes as defensive midfielder.

Component breakdown

Duelweight 20%
33.9
Passingweight 25%
55.1
Creationweight 10%
83.3
Defensiveweight 30%
36.4
Ball retentionweight 15%
29.8

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
17 May 2026Brøndby IF2–3Home908.3811057.3
10 May 2026Nordsjælland0–0Away44sub7.0400055.5
20 Apr 2026AGF2–1Home907.0400050.5
12 Apr 2026Brøndby IF2–1Away796.9100031.8
04 Apr 2026Sønderjyske Fodbold2–2Home406.6000075.0
22 Mar 2026Viborg FF1–1Away1727.5510042.1
15 Mar 2026Nordsjælland0–1Home466.5800050.9
01 Mar 2026Brøndby IF0–0Home29sub6.47000
22 Feb 2026Silkeborg IF4–0Away467.0100082.6
15 Feb 2026Odense BK4–1Away6sub6.37001
08 Feb 2026FC København2–1Home1246.8300058.7
07 Dec 2025Viborg FF3–3Away44sub7.1610173.3
30 Nov 2025Nordsjælland6–0Home908.4811063.9
23 Nov 2025Sønderjyske Fodbold1–2Away20sub6.30000
09 Nov 2025Randers FC2–0Away16sub6.62000
03 Nov 2025AGF1–1Home20sub6.60000
19 Oct 2025Vejle Boldklub5–1Home1468.6820060.5
05 Oct 2025FC København1–1Away62sub6.5400062.7
29 Sept 2025Randers FC2–1Home48sub7.1000062.0
20 Sept 2025Viborg FF2–0Home9sub6.25000
14 Sept 2025Nordsjælland0–1Away60sub6.5200035.4
31 Aug 2025Brøndby IF3–1Away38sub6.5700042.9
24 Aug 2025Silkeborg IF4–2Home8sub6.55000
17 Aug 2025Vejle Boldklub2–0Away9sub6.44000
10 Aug 2025Fredericia3–3Home88sub6.9800052.7
03 Aug 2025AGF0–0Away20sub6.45001
28 Jul 2025Sønderjyske Fodbold6–2Home30sub8.3711079.0
20 Jul 2025Odense BK3–3Home19sub6.64000

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
28
Minutes
1,493
Average opponent strength
48.1Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Brøndby IF, Nordsjælland, AGF, Sønderjyske Fodbold, Viborg FF, Silkeborg IF.

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
Magnus Mattsson FC KøbenhavnDefensive midfielder44.5Compare
Mads LarsenSilkeborg IFDefensive midfielder43.7Compare
Leeroy OwusuOdense BKDefensive midfielder45.2Compare
Villads WesthSilkeborg IFDefensive midfielder46.2Compare
Laurits PedersenRanders FCDefensive midfielder47.6Compare

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