Player dossier

Superliga · 2026/2027

L. Sandgrav

Central midfielder
Role
Central midfielder
Nationality
Denmark
Date of birth
16 Sept 2004 (age 21)
Shirt number
14
Season
2026/2027

All players

01 / Record

Performance summary

5 appearances · 428 minutesDeveloping sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
5
Starts
5

0 unused substitute matchdays

Minutes
428
Average rating
6.72

Sportmonks rating · 5 rated matches

Goals
0

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 9079.49
Passes per 9058.04
Accurate passes per 9045.84
Passes in final third per 909.67
Key passes per 900.42
Chances created per 900.42
Shots per 901.47
Shots on target per 900.21
Successful dribbles per 901.05
Tackles per 901.26
Interceptions per 900.84
Clearances per 902.52
Ball recoveries per 904.42
Duels per 9013.04
Goals per 90Not available
Assists per 90Not available
Possession lost per 9017.03
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 902.10
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy79.0%
Dribble success rate62.5%
Duel win rate48.4%
Aerial duel win rate80.0%
Tackle success rate83.3%
Shot on target rate14.3%
Long ball accuracy38.1%
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 season11 in reference groupSmall reference group

  • Passing47.0pctl
  • Creation15.0pctl
  • Ball retention28.8pctl
  • Defensive41.0pctl
  • Duel71.1pctl
  • Dribbling65.5pctl
  • Shooting29.2pctl
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

68.7/ 100

Above average

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

Coverage 100%

Opposition Index

52.2/ 100

Balanced schedule

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

5 rated opponents

Momentum Index

35.9/ 100

Slightly declining

Last 2 scored matches 40.6 vs earlier 47.7 (−7.0).

Breakout Index

40.8/ 100

No upward signal

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

Minutes +7Starts 0pp

Decline Index

59.2/ 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 909.67
Key passes per 900.42
Chances created per 900.42
Big chances created per 90Not available
Crosses per 900.42
Shots per 901.47
Successful dribbles per 901.05

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 40%
79.0%
Duel win rateweight 25%
48.4%
Dribble success rateweight 20%
62.5%
Tackle success rateweight 15%
83.3%
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 47CREA 15RET 29DEF 41DUEL 71DRIB 66SHOT 29
Role-relative percentile values plotted in the profile chart for 2026/2027
FamilyPercentile
Passing47.0
Creation15.0
Ball retention28.8
Defensive41.0
Duel71.1
Dribbling65.5
Shooting29.2

Dashed ring marks the central midfielder median (50th percentile) across 11 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

40.3/ 100

Assessment

Developing-sample estimate

5 appearances · 428 minutes

Experimental modelCoverage 100%Developing sample

Based on available match data — 5 appearances · 428 minutes as central midfielder.

Component breakdown

Duelweight 15%
71.1
Passingweight 30%
47.0
Creationweight 20%
15.0
Defensiveweight 20%
41.0
Ball retentionweight 15%
28.8

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 2026Horsens1–2Away906.43000
16 Aug 2026FC Midtjylland1–1Home906.7200040.5
09 Aug 2026Randers FC0–2Away686.84000
01 Aug 2026AGF2–2Home907.08000
26 Jul 2026FC København2–3Away906.51000

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
428
Average opponent strength
52.2Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Horsens, FC Midtjylland, Randers FC, AGF, FC København.

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
Jeppe GrønningViborg FFCentral midfielder37.6Compare
C. WintherLyngby BoldklubCentral midfielder56.4Compare
Philip BillingFC MidtjyllandCentral midfielderNot publishableCompare
Pedro BravoFC MidtjyllandCentral midfielderNot publishableCompare
Jakob BondeOdense BKCentral 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