Player dossier

Superliga · 2025/2026

Sebastian Jørgensen

Attacking midfielder
Team
AGF
Role
Attacking midfielder
Nationality
Denmark
Date of birth
08 Jun 2000 (age 26)
Shirt number
8
Season
2025/2026

All players

01 / Record

Performance summary

27 appearances · 878 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
27
Starts
4

5 unused substitute matchdays

Minutes
878
Average rating
6.72

Sportmonks rating · 21 rated matches

Goals
1

Counted from match events

Assists
2

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 9050.84
Passes per 9037.21
Accurate passes per 9030.24
Passes in final third per 901.85
Key passes per 902.15
Chances created per 902.36
Shots per 902.15
Shots on target per 901.13
Successful dribbles per 901.23
Tackles per 901.64
Interceptions per 900.82
Clearances per 900.82
Ball recoveries per 905.64
Duels per 909.33
Goals per 900.10
Assists per 900.31
Possession lost per 9011.17
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 900.72
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy81.3%
Dribble success rate42.9%
Duel win rate49.5%
Aerial duel win rate33.3%
Tackle success rate50.0%
Shot on target rate52.4%
Long ball accuracy52.9%
04 / Role telemetry

Performance profile

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

Role-relative telemetryPercentile 0-100

Compared with Attacking midfielder players in this season11 in reference groupSmall reference group

  • Passing47.0pctl
  • Creation81.7pctl
  • Ball retention65.2pctl
  • Duel37.5pctl
  • Dribbling53.0pctl
  • Defensive65.9pctl
  • Shooting57.2pctl
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

59.0/ 100

Above average

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

Coverage 100%

Opposition Index

46.5/ 100

Balanced schedule

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

27 rated opponents

Momentum Index

39.9/ 100

Slightly declining

Last 2 scored matches 53.9 vs earlier 58.9 (−5.0).

Breakout Index

58.5/ 100

No clear movement

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

Minutes +15Starts +67pp

Decline Index

41.5/ 100

No decline signal

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

8 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 901.33
Key passes per 901.64
Chances created per 901.64
Big chances created per 900.31
Crosses per 901.03
Shots per 901.54
Successful dribbles per 900.82

Team effect

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

Started4 fixtures2.50pts/match
Did not start28 fixtures2.04pts/match

Difference: +0.46 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%
81.3%
Dribble success rateweight 30%
42.9%
Duel win rateweight 20%
49.5%
Shot on target rateweight 15%
52.4%
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 47CREA 82RET 65DUEL 38DRIB 53DEF 66SHOT 57
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Passing47.0
Creation81.7
Ball retention65.2
Duel37.5
Dribbling53.0
Defensive65.9
Shooting57.2

Dashed ring marks the attacking midfielder median (50th percentile) across 11 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

60.7/ 100

Assessment

Established-sample estimate

27 appearances · 878 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 27 appearances · 878 minutes as attacking midfielder.

Component breakdown

Duelweight 10%
37.5
Passingweight 20%
47.0
Creationweight 30%
81.7
Shootingweight 15%
57.2
Dribblingweight 15%
53.0
Ball retentionweight 10%
65.2

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 2026Viborg FF6–2Home907.7810049.2
10 May 2026Brøndby IF2–0Away6sub6.47000
03 May 2026Sønderjyske Fodbold2–1Home12sub6.37000
23 Apr 2026Nordsjælland1–1Away907.3801058.5
20 Apr 2026FC Midtjylland1–2Away1sub6.72000
10 Apr 2026Nordsjælland1–1Home17sub6.82000
06 Apr 2026Viborg FF2–1Away60sub6.77000
22 Mar 2026Brøndby IF0–0Home4sub000
15 Mar 2026Sønderjyske Fodbold1–1Away1sub000
22 Feb 2026Viborg FF5–2Home24sub6.45000
15 Feb 2026Fredericia1–1Away26sub6.36000
09 Feb 2026Odense BK2–1Home20sub6.43000
07 Dec 2025Randers FC2–1Away52sub6.31000
30 Nov 2025FC København2–0Home4sub000
21 Nov 2025Silkeborg IF2–0Away1386.70000
09 Nov 2025Sønderjyske Fodbold2–3Home2sub000
24 Oct 2025Nordsjælland1–0Home38sub6.7600084.9
19 Oct 2025Brøndby IF3–3Away26sub7.11010
05 Oct 2025Silkeborg IF3–1Home23sub6.66000
28 Sept 2025Nordsjælland2–1Away1246.6700055.9
21 Sept 2025Brøndby IF1–0Home12sub6.61000
14 Sept 2025Viborg FF2–1Away27sub6.74000
31 Aug 2025Fredericia4–1Home22sub6.75000
24 Aug 2025Vejle Boldklub1–0Home1sub000
18 Aug 2025Odense BK5–1Away17sub6.52000
03 Aug 2025FC Midtjylland0–0Home38sub6.80000
25 Jul 2025Randers FC1–2Home3sub000

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
Team
AGF
Appearances
27
Minutes
878
Average opponent strength
46.5Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Viborg FF, Brøndby IF, Sønderjyske Fodbold, Nordsjælland, FC Midtjylland, Fredericia.

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
Mikel GogorzaFC MidtjyllandAttacking midfielder63.5Compare
Aral ŞimşirFC MidtjyllandAttacking midfielder66.6Compare
Fiete ArpOdense BKAttacking midfielder54.6Compare
Mike ThemsenRanders FCAttacking midfielder48.2Compare
Callum McCowattSilkeborg IFAttacking 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