Player dossier

Superliga · 2025/2026

Mohamed Elyounoussi

Striker
Role
Striker
Nationality
Norway
Date of birth
04 Aug 1994 (age 32)
Shirt number
10
Season
2025/2026

All players

01 / Record

Performance summary

30 appearances · 3,285 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
30
Starts
26

1 unused substitute matchday

Minutes
3,285
Average rating
7.28

Sportmonks rating · 30 rated matches

Goals
7

Counted from match events

Assists
9

Counted from match events

Yellow cards
7

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 9063.26
Passes per 9037.32
Accurate passes per 9029.18
Passes in final third per 905.81
Key passes per 902.00
Chances created per 901.86
Shots per 903.07
Shots on target per 901.01
Successful dribbles per 900.79
Tackles per 902.00
Interceptions per 900.27
Clearances per 900.58
Ball recoveries per 904.38
Duels per 9012.66
Goals per 900.22
Assists per 900.36
Possession lost per 9016.47
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 901.37
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy78.2%
Dribble success rate38.7%
Duel win rate47.2%
Aerial duel win rate85.5%
Tackle success rate63.0%
Shot on target rate33.0%
Long ball accuracy63.3%
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

  • Shooting47.7pctl
  • Creation93.4pctl
  • Ball retention59.4pctl
  • Duel66.4pctl
  • Dribbling60.2pctl
  • Passing89.3pctl
  • Defensive62.3pctl
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

53.7/ 100

Around average

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

Coverage 100%

Opposition Index

44.7/ 100

Softer schedule

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

30 rated opponents

Momentum Index

51.4/ 100

Steady form

Last 2 scored matches 71.4 vs earlier 70.7 (+0.7).

Breakout Index

53.4/ 100

No clear movement

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

Minutes −12Starts +11pp

Decline Index

46.6/ 100

No clear movement

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 903.95
Key passes per 901.59
Chances created per 901.21
Big chances created per 900.22
Crosses per 902.68
Shots per 902.11
Successful dribbles per 900.58

Team effect

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

Started26 fixtures1.77pts/match
Did not start7 fixtures1.14pts/match

Difference: +0.63 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%
33.0%
Aerial duel win rateweight 20%
85.5%
Pass accuracyweight 20%
78.2%
Dribble success rateweight 20%
38.7%
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 48CREA 93RET 59DUEL 66DRIB 60PASS 89DEF 62
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Shooting47.7
Creation93.4
Ball retention59.4
Duel66.4
Dribbling60.2
Passing89.3
Defensive62.3

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

66.2/ 100

Assessment

Established-sample estimate

30 appearances · 3,285 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 30 appearances · 3,285 minutes as striker.

Component breakdown

Duelweight 15%
66.4
Passingweight 10%
89.3
Creationweight 20%
93.4
Shootingweight 35%
47.7
Dribblingweight 10%
60.2
Ball retentionweight 10%
59.4

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
21 May 2026Brøndby IF3–1Away1207.5200169.6
10 May 2026Silkeborg IF4–0Away826.9300073.1
03 May 2026Fredericia3–3Away907.8701084.1
27 Apr 2026Vejle Boldklub3–0Home908.1110068.2
22 Apr 2026Odense BK2–1Home767.1101065.9
19 Apr 2026Vejle Boldklub4–1Away907.1000063.4
12 Apr 2026Randers FC2–1Away906.22001
05 Apr 2026Silkeborg IF7–0Home1368.9002068.9
22 Mar 2026Fredericia1–2Home1766.8100050.1
15 Mar 2026Odense BK1–2Away906.59000
01 Mar 2026Randers FC1–2Home906.72000
21 Feb 2026Odense BK2–2Away60sub6.7800074.0
14 Feb 2026Nordsjælland1–2Home907.9610091.0
08 Feb 2026FC Midtjylland1–2Away907.5710168.9
30 Nov 2025AGF0–2Away1807.4300173.1
23 Nov 2025Brøndby IF1–0Home1807.1500082.3
09 Nov 2025Vejle Boldklub0–2Away1807.3700071.4
01 Nov 2025Fredericia3–2Home1807.2701161.9
26 Oct 2025Viborg FF0–0Home1807.5100073.7
05 Oct 2025FC Midtjylland1–1Home1807.3900083.2
27 Sept 2025Sønderjyske Fodbold2–1Away1807.57010
21 Sept 2025Silkeborg IF3–3Home907.3410192.4
13 Sept 2025Brøndby IF1–2Away908.0210175.5
31 Aug 2025Randers FC5–1Away909.4112086.4
23 Aug 2025Odense BK1–1Home88sub6.46000
15 Aug 2025Nordsjælland3–1Away906.65010
08 Aug 2025AGF2–3Home31sub6.42000
01 Aug 2025Fredericia2–0Away806.75000
26 Jul 2025Vejle Boldklub2–0Home21sub6.44000
18 Jul 2025Viborg FF3–2Away756.88100

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
30
Minutes
3,285
Average opponent strength
44.7Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Brøndby IF, Silkeborg IF, Fredericia, Vejle Boldklub, Odense BK, Randers FC.

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
FranculinoFC MidtjyllandStriker64.3Compare
Viktor Dadason FC KøbenhavnStriker69.1Compare
Noah NarteyBrøndby IFStriker62.8Compare
Youssoufa MoukokoFC KøbenhavnStriker70.7Compare
Janni SerraAGFStriker61.7Compare

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