Player dossier

Superliga · 2025/2026

Andreas Oggesen

Defensive midfielder
Role
Defensive midfielder
Nationality
Denmark
Date of birth
18 Mar 1994 (age 32)
Shirt number
22
Season
2025/2026

All players

01 / Record

Performance summary

28 appearances · 2,972 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
28
Starts
24

3 unused substitute matchdays

Minutes
2,972
Average rating
6.81

Sportmonks rating · 28 rated matches

Goals
0

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 9061.32
Passes per 9046.27
Accurate passes per 9041.46
Passes in final third per 906.84
Key passes per 900.85
Chances created per 900.85
Shots per 900.27
Shots on target per 900.03
Successful dribbles per 900.36
Tackles per 901.61
Interceptions per 900.58
Clearances per 901.82
Ball recoveries per 904.48
Duels per 904.12
Goals per 90Not available
Assists per 900.09
Possession lost per 9010.02
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 901.09
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy89.6%
Dribble success rate66.7%
Duel win rate66.9%
Aerial duel win rate100.0%
Tackle success rate64.1%
Shot on target rate11.1%
Long ball accuracy47.3%
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

  • Passing74.2pctl
  • Ball retention64.1pctl
  • Defensive43.1pctl
  • Duel58.2pctl
  • Creation41.4pctl
  • Dribbling38.5pctl
  • Shooting7.0pctl
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

79.1/ 100

Highly efficient

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

Coverage 100%

Opposition Index

50.2/ 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

83.7/ 100

Rising form

Last 2 scored matches 67.9 vs earlier 51.0 (+16.9).

Breakout Index

60.0/ 100

Upward signal

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

Minutes −59Starts −50pp

Decline Index

40.0/ 100

No decline signal

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

25 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 905.03
Key passes per 900.67
Chances created per 900.67
Big chances created per 900.03
Crosses per 901.06
Shots per 900.18
Successful dribbles per 900.27

Team effect

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

Started24 fixtures1.50pts/match
Did not start8 fixtures1.00pts/match

Difference: +0.50 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%
89.6%
Duel win rateweight 25%
66.9%
Tackle success rateweight 25%
64.1%
Aerial duel win rateweight 15%
100.0%
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 74RET 64DEF 43DUEL 58CREA 41DRIB 39SHOT 7
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Passing74.2
Ball retention64.1
Defensive43.1
Duel58.2
Creation41.4
Dribbling38.5
Shooting7.0

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

56.9/ 100

Assessment

Established-sample estimate

28 appearances · 2,972 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 28 appearances · 2,972 minutes as defensive midfielder.

Component breakdown

Duelweight 20%
58.2
Passingweight 25%
74.2
Creationweight 10%
41.4
Defensiveweight 30%
43.1
Ball retentionweight 15%
64.1

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 2026Nordsjælland1–4Home35sub6.45001
08 May 2026Viborg FF1–0Away907.0500047.2
03 May 2026AGF1–2Away786.6900049.2
26 Apr 2026Brøndby IF3–0Home826.9500060.9
23 Apr 2026FC Midtjylland1–2Home726.3800050.2
04 Apr 2026FC Midtjylland2–2Away926.9000056.4
22 Mar 2026Nordsjælland0–2Away1306.4900036.6
15 Mar 2026AGF1–1Home12sub6.45000
01 Mar 2026Odense BK1–0Home20sub6.41000
23 Feb 2026Brøndby IF0–0Away29sub6.59000
07 Dec 2025FC København2–0Away1806.4800137.9
28 Nov 2025Viborg FF2–2Home926.7300041.3
23 Nov 2025FC Midtjylland2–1Home1546.7700062.8
09 Nov 2025AGF3–2Away1806.7800040.1
02 Nov 2025Vejle Boldklub2–1Home1767.3700068.8
26 Oct 2025Randers FC0–0Away1366.6200050.2
20 Oct 2025Fredericia3–0Home1547.0900061.1
03 Oct 2025Odense BK1–1Away1807.1500066.4
27 Sept 2025FC København1–2Home1806.0000116.2
21 Sept 2025Vejle Boldklub2–2Away906.8900061.4
12 Sept 2025Randers FC0–1Home1806.8200026.9
31 Aug 2025Silkeborg IF2–0Away907.0500064.5
24 Aug 2025Brøndby IF2–0Home906.8600045.4
15 Aug 2025Fredericia2–3Away907.4002065.4
08 Aug 2025Viborg FF0–1Away907.2600049.1
03 Aug 2025Nordsjælland3–2Home907.4401055.5
28 Jul 2025FC Midtjylland2–6Away907.02000
20 Jul 2025AGF1–1Home906.5500048.9

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
2,972
Average opponent strength
50.2Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Nordsjælland, Viborg FF, AGF, Brøndby IF, FC Midtjylland, Odense BK.

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
Mads FreundlichSilkeborg IFDefensive midfielder56.1Compare
Frederik LauenborgRanders FCDefensive midfielder55.1Compare
PaulinhoFC MidtjyllandDefensive midfielder54.7Compare
Pedro BravoFC MidtjyllandDefensive midfielder52.7Compare
Tobias KlysnerSønderjyske FodboldDefensive midfielder51.3Compare

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