Player dossier

Superliga · 2025/2026

Florian Danho

Striker
Role
Striker
Nationality
France
Date of birth
21 Jun 2000 (age 26)
Shirt number
26
Season
2025/2026

All players

01 / Record

Performance summary

8 appearances · 563 minutesDeveloping sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
8
Starts
2

0 unused substitute matchdays

Minutes
563
Average rating
6.77

Sportmonks rating · 8 rated matches

Goals
2

Counted from match events

Assists
0

Counted from match events

Yellow cards
2

Counted from match events

Red cards
Not available
02 / Telemetry

Player efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates for Florian Danho 2025/2026
MetricRate
Pass accuracy57.8%
Dribble success rate30.8%
Duel win rate33.3%
Aerial duel win rate73.3%
Tackle success rate100.0%
Shot on target rate26.9%
Long ball accuracy80.0%
PASSDRIBDUELAERTACKSHOTLONG

Florian Danho · 0–100% scale

03 / 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 9026.38
Passes per 9013.27
Accurate passes per 907.67
Passes in final third per 901.60
Key passes per 90Not available
Chances created per 90Not available
Shots per 904.16
Shots on target per 901.12
Successful dribbles per 900.64
Tackles per 900.16
Interceptions per 90Not available
Clearances per 90Not available
Ball recoveries per 901.12
Duels per 9012.47
Goals per 900.32
Assists per 90Not available
Possession lost per 909.91
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 900.96
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

  • Shooting57.0pctl
  • CreationNot available
  • Ball retention31.2pctl
  • Duel59.1pctl
  • Dribbling41.9pctl
  • Passing15.0pctl
  • Defensive2.6pctl
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

43.2/ 100

Below average

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

Coverage 100%

Opposition Index

44.8/ 100

Softer schedule

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

8 rated opponents

Momentum Index

78.5/ 100

Rising form

Last 2 scored matches 64.3 vs earlier 50.1 (+14.2).

Breakout Index

71.7/ 100

Strong upward signal

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

Minutes −36Starts +17pp

Decline Index

28.3/ 100

No decline signal

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 901.44
Key passes per 90Not available
Chances created per 90Not available
Big chances created per 90Not available
Crosses per 900.32
Shots per 903.36
Successful dribbles per 900.64

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 2 started and 30 not started).

Efficiency Index components
Shot on target rateweight 40%
26.9%
Aerial duel win rateweight 20%
73.3%
Pass accuracyweight 20%
57.8%
Dribble success rateweight 20%
30.8%
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.

SHOT 57RET 31DUEL 59DRIB 42PASS 15DEF 3
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Shooting57.0
Ball retention31.2
Duel59.1
Dribbling41.9
Passing15.0
Defensive2.6

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

Not plotted — no stored percentile: Creation.

06 / Performance index

Football Performance Lab Impact Score

Impact score will appear after a larger sample. Publication requires 360 minutes, 5 appearances, at least 90% metric coverage and an established role.

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
12 Sept 2025Sønderjyske Fodbold1–0Away706.62000
31 Aug 2025FC København1–5Home88sub7.19100
24 Aug 2025Fredericia0–1Away1607.07000
17 Aug 2025Brøndby IF0–2Home44sub6.97001
11 Aug 2025Odense BK2–3Away140sub6.99100
03 Aug 2025Silkeborg IF1–0Home15sub6.52000
25 Jul 2025AGF2–1Away22sub6.36001
20 Jul 2025Vejle Boldklub1–1Away24sub6.40000

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
8
Minutes
563
Average opponent strength
44.8Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Sønderjyske Fodbold, FC København, Fredericia, Brøndby IF, Odense BK, Silkeborg IF.

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
Matthew HoppeSønderjyske FodboldStriker46.2Compare
Jay-Roy GrotOdense BKStriker48.0Compare
Andreas CorneliusFC KøbenhavnStriker45.8Compare
Patrick MortensenAGFStriker45.2Compare
Jacob AmbækBrøndby IFStriker44.4Compare

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