Player dossier

Superliga · 2026/2027

Mohamed Cherif Haidara

Attacking midfielder
Role
Attacking midfielder
Nationality
Guinea
Date of birth
02 Oct 2005 (age 20)
Shirt number
31
Season
2026/2027

All players

01 / Record

Performance summary

5 appearances · 421 minutesDeveloping sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
5
Starts
5

0 unused substitute matchdays

Minutes
421
Average rating
7.07

Sportmonks rating · 5 rated matches

Goals
2

Counted from match events

Assists
0

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 9043.61
Passes per 9025.87
Accurate passes per 9020.10
Passes in final third per 902.99
Key passes per 900.86
Chances created per 900.21
Shots per 901.92
Shots on target per 900.86
Successful dribbles per 901.50
Tackles per 902.14
Interceptions per 900.43
Clearances per 901.07
Ball recoveries per 905.56
Duels per 9015.18
Goals per 900.43
Assists per 90Not available
Possession lost per 9012.40
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 901.92
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy77.7%
Dribble success rate58.3%
Duel win rate46.5%
Aerial duel win rate52.9%
Tackle success rate30.0%
Shot on target rate44.4%
Long ball accuracy58.3%
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 season12 in reference groupSmall reference group

  • Passing23.6pctl
  • Creation8.3pctl
  • Ball retention37.5pctl
  • Duel46.5pctl
  • Dribbling68.1pctl
  • Defensive59.4pctl
  • Shooting45.4pctl
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

60.7/ 100

Above average

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

Coverage 100%

Opposition Index

65.2/ 100

Difficult schedule

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

5 rated opponents

Momentum Index

39.3/ 100

Slightly declining

Last 2 scored matches 47.5 vs earlier 52.9 (−5.4).

Breakout Index

40.7/ 100

No upward signal

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

Minutes −15Starts 0pp

Decline Index

59.3/ 100

No clear movement

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

5 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 902.99
Key passes per 900.86
Chances created per 900.21
Big chances created per 900.43
Crosses per 900.64
Shots per 901.92
Successful dribbles per 901.50

Team effect

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

Insufficient sample — the comparison needs at least 3 completed fixtures in both groups (currently 5 started and 0 not started).

Efficiency Index components
Pass accuracyweight 35%
77.7%
Dribble success rateweight 30%
58.3%
Duel win rateweight 20%
46.5%
Shot on target rateweight 15%
44.4%
05.1 / Player telemetry · ProfilePercentile 0-100

Role-relative percentiles from the 2026/2027 season. Only metrics relevant to this player's role are shown.

PASS 24CREA 8RET 38DUEL 47DRIB 68DEF 59SHOT 45
Role-relative percentile values plotted in the profile chart for 2026/2027
FamilyPercentile
Passing23.6
Creation8.3
Ball retention37.5
Duel46.5
Dribbling68.1
Defensive59.4
Shooting45.4

Dashed ring marks the attacking midfielder median (50th percentile) across 12 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

32.7/ 100

Assessment

Developing-sample estimate

5 appearances · 421 minutes

Experimental modelCoverage 100%Developing sample

Based on available match data — 5 appearances · 421 minutes as attacking midfielder.

Component breakdown

Duelweight 10%
46.5
Passingweight 20%
23.6
Creationweight 30%
8.3
Shootingweight 15%
45.4
Dribblingweight 15%
68.1
Ball retentionweight 10%
37.5

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
23 Aug 2026Nordsjælland0–3Home617.10000
17 Aug 2026Brøndby IF2–3Away906.79100
07 Aug 2026Viborg FF0–0Home907.1000047.1
03 Aug 2026Odense BK0–1Away906.65000
26 Jul 2026FC Midtjylland2–3Home907.7210048.9

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
2026/2027
Appearances
5
Minutes
421
Average opponent strength
65.2Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Nordsjælland, Brøndby IF, Viborg FF, Odense BK, FC Midtjylland.

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.

2026/2027 season in progress · 27 of 132 fixtures completed. Differences below are not full-season comparisons while the season is incomplete.

Season on season2025/20262026/2027
Measure2025/20262026/2027Difference
Impact Score36.632.7−3.9
Minutes played1,770421−1,349
Appearances275−22
Starting share44.4%100.0%+55.6%
Average opponent strength49.865.2+15.3
Touches per 9051.5643.61−7.95
Passes per 9026.7525.87−0.88
Accurate passes per 9021.1020.10−1.01
Passes in final third per 902.802.99+0.20
Key passes per 901.020.86−0.16
Chances created per 900.510.21−0.29
Shots per 903.461.92−1.53
Shots on target per 901.020.86−0.16
Successful dribbles per 900.761.50+0.73
Tackles per 901.882.14+0.26
Interceptions per 900.860.43−0.44
Clearances per 902.491.07−1.42
Ball recoveries per 906.365.56−0.80
Duels per 9014.3415.18+0.84
Fouls drawn per 901.831.50−0.33
Goals per 900.250.43+0.17
Assists per 900.10Not availableNot available
Possession lost per 9013.2212.40−0.82
Goals conceded per 901.371.92+0.55
Errors leading to a shot per 90Not available0.21Not available
Pass accuracy78.9%77.7%−1.2%
Dribble success rate46.9%58.3%+11.5%
Duel win rate47.5%46.5%−1.0%
Aerial duel win rate73.8%52.9%−20.8%
Tackle success rate54.0%30.0%−24.1%
Shot on target rate29.4%44.4%+15.0%
Long ball accuracy48.8%58.3%+9.6%
Role
Same role in both seasons · Attacking midfielder
Team
Same team · Sønderjyske Fodbold

Presentation only: each figure is the stored season value for that season. No season-to-season index or score is calculated.

10 / Cross-reference

Compare similar players

Players with a comparable Impact Score profile
PlayerTeamRoleImpactCompare
Julius MadsenHorsensAttacking midfielder39.3Compare
Mads Emil MadsenFC KøbenhavnAttacking midfielderNot publishableCompare
Tobias BechAGFAttacking midfielderNot publishableCompare
Mathias GreveRanders FCAttacking midfielderNot publishableCompare
Oliver RossSilkeborg IFAttacking midfielderNot publishableCompare

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