Player dossier

Superliga · 2025/2026

Mohamed Cherif Haidara

Attacking midfielder
Role
Attacking midfielder
Nationality
Guinea
Date of birth
02 Oct 2005 (age 20)
Shirt number
31
Season
2025/2026

All players

01 / Record

Performance summary

27 appearances · 1,770 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
27
Starts
12

1 unused substitute matchday

Minutes
1,770
Average rating
6.69

Sportmonks rating · 27 rated matches

Goals
4

Counted from match events

Assists
1

Counted from match events

Yellow cards
4

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 9051.56
Passes per 9026.75
Accurate passes per 9021.10
Passes in final third per 902.80
Key passes per 901.02
Chances created per 900.51
Shots per 903.46
Shots on target per 901.02
Successful dribbles per 900.76
Tackles per 901.88
Interceptions per 900.86
Clearances per 902.49
Ball recoveries per 906.36
Duels per 9014.34
Goals per 900.25
Assists per 900.10
Possession lost per 9013.22
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 accuracy78.9%
Dribble success rate46.9%
Duel win rate47.5%
Aerial duel win rate73.8%
Tackle success rate54.0%
Shot on target rate29.4%
Long ball accuracy48.8%
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

  • Passing25.8pctl
  • Creation11.0pctl
  • Ball retention53.0pctl
  • Duel70.5pctl
  • Dribbling50.0pctl
  • Defensive90.9pctl
  • Shooting55.3pctl
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

55.6/ 100

Above average

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

Coverage 100%

Opposition Index

49.8/ 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

29.1/ 100

Falling form

Last 2 scored matches 42.4 vs earlier 52.8 (−10.5).

Breakout Index

41.3/ 100

No upward signal

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

Minutes −6Starts +44pp

Decline Index

58.7/ 100

No clear movement

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

20 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 901.83
Key passes per 900.61
Chances created per 900.31
Big chances created per 900.15
Crosses per 900.41
Shots per 902.24
Successful dribbles per 900.61

Team effect

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

Started12 fixtures1.25pts/match
Did not start20 fixtures1.45pts/match

Difference: −0.20 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%
78.9%
Dribble success rateweight 30%
46.9%
Duel win rateweight 20%
47.5%
Shot on target rateweight 15%
29.4%
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 26CREA 11RET 53DUEL 70DRIB 50DEF 91SHOT 55
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Passing25.8
Creation11.0
Ball retention53.0
Duel70.5
Dribbling50.0
Defensive90.9
Shooting55.3

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

36.6/ 100

Assessment

Established-sample estimate

27 appearances · 1,770 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 27 appearances · 1,770 minutes as attacking midfielder.

Component breakdown

Duelweight 10%
70.5
Passingweight 20%
25.8
Creationweight 30%
11.0
Shootingweight 15%
55.3
Dribblingweight 15%
50.0
Ball retentionweight 10%
53.0

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 2026Nordsjælland1–4Home636.45000
08 May 2026Viborg FF1–0Away906.44000
03 May 2026AGF1–2Away907.06000
26 Apr 2026Brøndby IF3–0Home906.9700038.5
17 Apr 2026Brøndby IF0–6Away815.66001
04 Apr 2026FC Midtjylland2–2Away907.5010061.7
22 Mar 2026Nordsjælland0–2Away907.00000
15 Mar 2026AGF1–1Home1147.0200170.6
01 Mar 2026Odense BK1–0Home1806.74000
23 Feb 2026Brøndby IF0–0Away1467.0600062.0
16 Feb 2026Silkeborg IF2–1Home907.1800042.6
08 Feb 2026Nordsjælland1–2Away18sub7.35100
07 Dec 2025FC København2–0Away42sub6.47000
28 Nov 2025Viborg FF2–2Home52sub6.24000
23 Nov 2025FC Midtjylland2–1Home10sub6.55000
09 Nov 2025AGF3–2Away15sub7.11100
02 Nov 2025Vejle Boldklub2–1Home48sub6.66000
26 Oct 2025Randers FC0–0Away42sub6.80000
20 Oct 2025Fredericia3–0Home26sub6.91000
03 Oct 2025Odense BK1–1Away88sub6.79010
27 Sept 2025FC København1–2Home12sub6.67000
12 Sept 2025Randers FC0–1Home88sub4.80001
31 Aug 2025Silkeborg IF2–0Away52sub6.53001
24 Aug 2025Brøndby IF2–0Home29sub6.46000
08 Aug 2025Viborg FF0–1Away646.41000
03 Aug 2025Nordsjælland3–2Home16sub7.28100
28 Jul 2025FC Midtjylland2–6Away44sub6.4500071.1

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
Appearances
27
Minutes
1,770
Average opponent strength
49.8Minutes-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
Younes BakizSilkeborg IFAttacking midfielder37.5Compare
Kristall Máni IngasonSønderjyske FodboldAttacking midfielder38.4Compare
Callum McCowattSilkeborg IFAttacking midfielder47.6Compare
Mike ThemsenRanders FCAttacking midfielder48.2Compare
Fiete ArpOdense BKAttacking midfielder54.6Compare

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