Player dossier

Superliga · 2025/2026

Patrick Mortensen

Striker
Team
AGF
Role
Striker
Nationality
Denmark
Date of birth
13 Jul 1989 (age 37)
Shirt number
9
Season
2025/2026

All players

01 / Record

Performance summary

32 appearances · 2,992 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
32
Starts
27

0 unused substitute matchdays

Minutes
2,992
Average rating
6.78

Sportmonks rating · 32 rated matches

Goals
9

Counted from match events

Assists
0

Counted from match events

Yellow cards
2

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 9022.80
Passes per 9012.87
Accurate passes per 9010.26
Passes in final third per 901.11
Key passes per 901.02
Chances created per 900.81
Shots per 902.20
Shots on target per 900.84
Successful dribbles per 900.18
Tackles per 900.48
Interceptions per 900.18
Clearances per 901.23
Ball recoveries per 901.41
Duels per 907.52
Goals per 900.30
Assists per 90Not available
Possession lost per 906.29
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 901.14
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 rate35.3%
Duel win rate50.8%
Aerial duel win rate60.8%
Tackle success rate56.3%
Shot on target rate38.4%
Long ball accuracy53.3%
04 / Role telemetry

Performance profile

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

Role-relative telemetryPercentile 0-100

Compared with Striker players in this season39 in reference group

  • Shooting42.0pctl
  • Creation52.0pctl
  • Ball retention62.8pctl
  • Duel44.8pctl
  • Dribbling23.8pctl
  • Passing46.6pctl
  • Defensive27.9pctl
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

50.5/ 100

Around average

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

Coverage 100%

Opposition Index

47.5/ 100

Balanced schedule

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

32 rated opponents

Momentum Index

63.8/ 100

Slightly improving

Last 2 scored matches 63.4 vs earlier 56.5 (+6.9).

Breakout Index

57.0/ 100

No clear movement

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

Minutes −44Starts +7pp

Decline Index

43.0/ 100

No decline signal

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

29 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 900.81
Key passes per 900.72
Chances created per 900.57
Big chances created per 900.09
Crosses per 900.09
Shots per 901.68
Successful dribbles per 900.09

Team effect

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

Started27 fixtures2.26pts/match
Did not start5 fixtures1.20pts/match

Difference: +1.06 points per match. This is a description of results only and does not establish that the player caused them.

Efficiency Index components
Shot on target rateweight 40%
38.4%
Aerial duel win rateweight 20%
60.8%
Pass accuracyweight 20%
79.7%
Dribble success rateweight 20%
35.3%
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.

SHOT 42CREA 52RET 63DUEL 45DRIB 24PASS 47DEF 28
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Shooting42.0
Creation52.0
Ball retention62.8
Duel44.8
Dribbling23.8
Passing46.6
Defensive27.9

Dashed ring marks the striker median (50th percentile) across 39 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

45.2/ 100

Assessment

Established-sample estimate

32 appearances · 2,992 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 32 appearances · 2,992 minutes as striker.

Component breakdown

Duelweight 15%
44.8
Passingweight 10%
46.6
Creationweight 20%
52.0
Shootingweight 35%
42.0
Dribblingweight 10%
23.8
Ball retentionweight 10%
62.8

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 2026Viborg FF6–2Home557.17100
10 May 2026Brøndby IF2–0Away646.75000
03 May 2026Sønderjyske Fodbold2–1Home906.7200041.0
26 Apr 2026FC Midtjylland0–0Home44sub6.82000
23 Apr 2026Nordsjælland1–1Away787.5510061.3
20 Apr 2026FC Midtjylland1–2Away27sub6.64000
10 Apr 2026Nordsjælland1–1Home28sub6.67000
06 Apr 2026Viborg FF2–1Away60sub6.5400070.9
22 Mar 2026Brøndby IF0–0Home15sub7.04000
15 Mar 2026Sønderjyske Fodbold1–1Away656.90000
01 Mar 2026Vejle Boldklub2–1Away676.68000
22 Feb 2026Viborg FF5–2Home1326.31000
15 Feb 2026Fredericia1–1Away766.96000
09 Feb 2026Odense BK2–1Home696.2500072.2
07 Dec 2025Randers FC2–1Away1786.9200035.4
30 Nov 2025FC København2–0Home867.4210071.4
21 Nov 2025Silkeborg IF2–0Away1386.75000
09 Nov 2025Sønderjyske Fodbold2–3Home1807.0810071.9
03 Nov 2025FC Midtjylland1–1Away1806.30001
24 Oct 2025Nordsjælland1–0Home1686.5900062.1
19 Oct 2025Brøndby IF3–3Away1546.6300035.5
05 Oct 2025Silkeborg IF3–1Home906.88000
28 Sept 2025Nordsjælland2–1Away1806.73000
21 Sept 2025Brøndby IF1–0Home906.76000
14 Sept 2025Viborg FF2–1Away876.3900053.7
31 Aug 2025Fredericia4–1Home907.6910066.6
24 Aug 2025Vejle Boldklub1–0Home817.36100
18 Aug 2025Odense BK5–1Away767.1010069.3
08 Aug 2025FC København3–2Away806.96100
03 Aug 2025FC Midtjylland0–0Home845.6700050.2
25 Jul 2025Randers FC1–2Home906.4310155.0
20 Jul 2025Sønderjyske Fodbold1–1Away906.2700042.1

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
32
Minutes
2,992
Average opponent strength
47.5Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

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

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
Andreas CorneliusFC KøbenhavnStriker45.8Compare
Jacob AmbækBrøndby IFStriker44.4Compare
Matthew HoppeSønderjyske FodboldStriker46.2Compare
Friday EtimNot availableStriker42.7Compare
Jay-Roy GrotOdense BKStriker48.0Compare

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