Player dossier

Superliga · 2025/2026

Kevin Yakob

Central midfielder
Team
AGF
Role
Central midfielder
Nationality
Iraq
Date of birth
10 Oct 2000 (age 25)
Shirt number
17
Season
2025/2026

All players

01 / Record

Performance summary

26 appearances · 2,179 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
26
Starts
17

4 unused substitute matchdays

Minutes
2,179
Average rating
6.88

Sportmonks rating · 25 rated matches

Goals
4

Counted from match events

Assists
2

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 9063.28
Passes per 9039.40
Accurate passes per 9033.17
Passes in final third per 905.62
Key passes per 901.07
Chances created per 900.83
Shots per 902.64
Shots on target per 901.07
Successful dribbles per 901.94
Tackles per 901.57
Interceptions per 901.20
Clearances per 901.65
Ball recoveries per 905.95
Duels per 9013.75
Goals per 900.25
Assists per 900.17
Possession lost per 9014.62
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 900.91
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy84.2%
Dribble success rate71.2%
Duel win rate45.4%
Aerial duel win rate66.7%
Tackle success rate65.8%
Shot on target rate40.6%
Long ball accuracy44.2%
04 / Role telemetry

Performance profile

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

Role-relative telemetryPercentile 0-100

Compared with Central midfielder players in this season16 in reference group

  • Passing30.2pctl
  • Creation68.7pctl
  • Ball retention34.4pctl
  • Defensive44.3pctl
  • Duel49.6pctl
  • Dribbling78.4pctl
  • Shooting80.4pctl
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

69.1/ 100

Above average

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

Coverage 100%

Opposition Index

47.9/ 100

Balanced schedule

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

26 rated opponents

Momentum Index

48.2/ 100

Steady form

Last 2 scored matches 49.3 vs earlier 50.2 (−0.9).

Breakout Index

50.0/ 100

No clear movement

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

Minutes −22Starts +21pp

Decline Index

50.0/ 100

No clear movement

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

21 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 903.97
Key passes per 900.74
Chances created per 900.58
Big chances created per 900.08
Crosses per 900.95
Shots per 901.65
Successful dribbles per 901.24

Team effect

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

Started17 fixtures2.06pts/match
Did not start15 fixtures2.13pts/match

Difference: −0.07 points per match. This is a description of results only and does not establish that the player caused them.

Efficiency Index components
Pass accuracyweight 40%
84.2%
Duel win rateweight 25%
45.4%
Dribble success rateweight 20%
71.2%
Tackle success rateweight 15%
65.8%
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 30CREA 69RET 34DEF 44DUEL 50DRIB 78SHOT 80
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Passing30.2
Creation68.7
Ball retention34.4
Defensive44.3
Duel49.6
Dribbling78.4
Shooting80.4

Dashed ring marks the central midfielder median (50th percentile) across 16 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

44.3/ 100

Assessment

Established-sample estimate

26 appearances · 2,179 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 26 appearances · 2,179 minutes as central midfielder.

Component breakdown

Duelweight 15%
49.6
Passingweight 30%
30.2
Creationweight 20%
68.7
Defensiveweight 20%
44.3
Ball retentionweight 15%
34.4

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
10 May 2026Brøndby IF2–0Away907.54101
03 May 2026Sønderjyske Fodbold2–1Home707.1600058.8
26 Apr 2026FC Midtjylland0–0Home906.5300040.9
23 Apr 2026Nordsjælland1–1Away25sub6.80000
20 Apr 2026FC Midtjylland1–2Away757.2000052.6
10 Apr 2026Nordsjælland1–1Home736.7900050.3
06 Apr 2026Viborg FF2–1Away616.68000
22 Mar 2026Brøndby IF0–0Home566.5500058.1
15 Mar 2026Sønderjyske Fodbold1–1Away1306.3900033.7
01 Mar 2026Vejle Boldklub2–1Away1746.64000
22 Feb 2026Viborg FF5–2Home1328.9521157.3
15 Feb 2026Fredericia1–1Away44sub6.6600061.1
09 Feb 2026Odense BK2–1Home1806.55000
30 Nov 2025FC København2–0Home21sub6.17000
21 Nov 2025Silkeborg IF2–0Away1046.23000
09 Nov 2025Sønderjyske Fodbold2–3Home1546.8800052.0
03 Nov 2025FC Midtjylland1–1Away1747.0001048.4
24 Oct 2025Nordsjælland1–0Home66sub7.19000
19 Oct 2025Brøndby IF3–3Away54sub6.79000
05 Oct 2025Silkeborg IF3–1Home677.8010067.9
28 Sept 2025Nordsjælland2–1Away48sub6.6500060.7
21 Sept 2025Brøndby IF1–0Home1346.9200049.2
14 Sept 2025Viborg FF2–1Away1266.94000
31 Aug 2025Fredericia4–1Home22sub6.48000
03 Aug 2025FC Midtjylland0–0Home6sub6.50000
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
26
Minutes
2,179
Average opponent strength
47.9Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Brøndby IF, Sønderjyske Fodbold, FC Midtjylland, Nordsjælland, Viborg FF, 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
Mads EnggårdVejle BoldklubCentral midfielder46.1Compare
Caleb YirenkyiNordsjællandCentral midfielder46.4Compare
Lukas Lerager FC KøbenhavnCentral midfielder47.0Compare
Mike VestergårdVejle BoldklubCentral midfielder40.7Compare
Markus SolbakkenAGFCentral midfielder48.3Compare

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