Player dossier

Superliga · 2025/2026

Alexander Lyng

Winger

Team: Sønderjyske Fodbold
Role: Winger
Nationality: Denmark
Date of birth: 26 Nov 2004 (age 21)
Shirt number: 11
Competition: Superliga (Denmark)
Season: 2025/2026

All players

01 / Record

Performance summary

28 appearances · 2,394 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures

Appearances: 28
Starts: 20
Minutes: 2,394
Average rating: 6.73
Goals: 3
Assists: 1
Yellow cards: 3
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
Metric	Per 90
Touches per 90	37.29
Passes per 90	20.71
Accurate passes per 90	15.08
Passes in final third per 90	1.54
Key passes per 90	1.62
Chances created per 90	1.17
Shots per 90	2.11
Shots on target per 90	0.60
Successful dribbles per 90	1.05
Tackles per 90	1.92
Interceptions per 90	0.38
Clearances per 90	1.05
Ball recoveries per 90	4.36
Duels per 90	9.55
Goals per 90	0.15
Assists per 90	0.08
Possession lost per 90	12.07
Saves per 90	Not available
Saves inside box per 90	Not available
Goals conceded per 90	1.43

03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates

Efficiency rates
Metric	Rate
Pass accuracy	72.8%
Dribble success rate	50.9%
Duel win rate	37.8%
Aerial duel win rate	75.0%
Tackle success rate	72.5%
Shot on target rate	28.6%
Long ball accuracy	29.5%

04 / Role telemetry

Performance profile

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

Role-relative telemetryPercentile 0-100

Compared with Winger players in this season53 in reference group

Creation52.2pctl
Dribbling47.8pctl
Passing17.3pctl
Shooting37.0pctl
Ball retention31.8pctl
Duel42.7pctl
Defensive44.3pctl

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

48.8/ 100

Around average

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

Coverage 100%

Opposition Index

50.0/ 100

Balanced schedule

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

28 rated opponents

Momentum Index

49.3/ 100

Steady form

Last 2 scored matches 57.7 vs earlier 58.0 (−0.3).

Breakout Index

37.7/ 100

No upward signal

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

Minutes −44Starts −36pp

Decline Index

62.3/ 100

Downward signal

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

24 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
Metric	Per 90
Passes in final third per 90	1.09
Key passes per 90	1.05
Chances created per 90	0.75
Big chances created per 90	0.26
Crosses per 90	1.65
Shots per 90	1.43
Successful dribbles per 90	0.79

Team effect

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

Started20 fixtures1.40pts/match

Did not start12 fixtures1.33pts/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

Dribble success rateweight 35%: 50.9%
Pass accuracyweight 25%: 72.8%
Shot on target rateweight 25%: 28.6%
Duel win rateweight 15%: 37.8%

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.

Role-relative percentile values plotted in the profile chart for 2025/2026
Family	Percentile
Creation	52.2
Dribbling	47.8
Passing	17.3
Shooting	37.0
Ball retention	31.8
Duel	42.7
Defensive	44.3

Dashed ring marks the winger median (50th percentile) across 53 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

40.0/ 100

Assessment

Established-sample estimate

28 appearances · 2,394 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 28 appearances · 2,394 minutes as winger.

Component breakdown

Duelweight 10%: 42.7
Passingweight 15%: 17.3
Creationweight 25%: 52.2
Shootingweight 20%: 37.0
Dribblingweight 20%: 47.8
Ball retentionweight 10%: 31.8

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
Date	Opponent	Venue	Min	Rating	G	A	YC	Impact
17 May 2026	Nordsjælland1–4	Home	44sub	6.90	0	0	0	—
08 May 2026	Viborg FF1–0	Away	20sub	6.46	0	0	1	—
03 May 2026	AGF1–2	Away	22sub	6.77	0	0	0	—
23 Apr 2026	FC Midtjylland1–2	Home	68	6.70	0	0	0	—
12 Apr 2026	Viborg FF0–2	Home	90	6.22	0	0	0	45.4
04 Apr 2026	FC Midtjylland2–2	Away	92	6.08	0	0	1	—
22 Mar 2026	Nordsjælland0–2	Away	65	6.30	0	0	0	49.7
15 Mar 2026	AGF1–1	Home	33sub	6.71	0	0	0	—
01 Mar 2026	Odense BK1–0	Home	154	7.02	0	0	0	58.4
23 Feb 2026	Brøndby IF0–0	Away	34sub	6.93	0	0	0	—
08 Feb 2026	Nordsjælland1–2	Away	132	7.09	0	0	0	69.1
07 Dec 2025	FC København2–0	Away	18sub	6.50	0	0	0	—
28 Nov 2025	Viborg FF2–2	Home	142	6.37	0	0	0	—
23 Nov 2025	FC Midtjylland2–1	Home	128	6.76	0	1	0	—
09 Nov 2025	AGF3–2	Away	168	6.18	0	0	0	—
02 Nov 2025	Vejle Boldklub2–1	Home	132	7.00	0	0	0	75.4
26 Oct 2025	Randers FC0–0	Away	138	6.90	0	0	0	61.7
20 Oct 2025	Fredericia3–0	Home	178	7.64	1	0	0	58.5
03 Oct 2025	Odense BK1–1	Away	88sub	6.50	0	0	1	—
21 Sept 2025	Vejle Boldklub2–2	Away	22sub	6.76	0	0	0	—
12 Sept 2025	Randers FC0–1	Home	90	6.57	0	0	0	69.6
31 Aug 2025	Silkeborg IF2–0	Away	82	7.50	1	0	0	—
24 Aug 2025	Brøndby IF2–0	Home	70	6.32	0	0	0	—
15 Aug 2025	Fredericia2–3	Away	40	6.98	0	0	0	—
08 Aug 2025	Viborg FF0–1	Away	83	6.69	0	0	0	55.4
03 Aug 2025	Nordsjælland3–2	Home	90	6.59	0	0	0	—
28 Jul 2025	FC Midtjylland2–6	Away	81	7.11	1	0	0	69.3
20 Jul 2025	AGF1–1	Home	90	6.89	0	0	0	52.0

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: Sønderjyske Fodbold
Appearances: 28
Minutes: 2,394
Average opponent strength: 50.0Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Nordsjælland, Viborg FF, AGF, FC Midtjylland, Odense BK, Brøndby 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
Player	Team	Role	Impact	Compare
Sofus Johannesen	Fredericia	Winger	39.9	Compare
Mads Agger	Sønderjyske Fodbold	Winger	39.5	Compare
Tobias Lauritsen	Vejle Boldklub	Winger	40.8	Compare
Gustav Ølsted Marcussen	Fredericia	Winger	41.5	Compare
Yonis Lucien Alexandre Njoh	Viborg FF	Winger	41.9	Compare

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