Player dossier

Superliga · 2025/2026

Marcos López

Full back
Role
Full back
Nationality
Peru
Date of birth
20 Nov 1999 (age 26)
Shirt number
15
Season
2025/2026

All players

01 / Record

Performance summary

29 appearances · 3,345 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
29
Starts
26

3 unused substitute matchdays

Minutes
3,345
Average rating
7.06

Sportmonks rating · 29 rated matches

Goals
1

Counted from match events

Assists
4

Counted from match events

Yellow cards
2

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 9083.70
Passes per 9054.65
Accurate passes per 9050.48
Passes in final third per 908.74
Key passes per 902.10
Chances created per 901.37
Shots per 900.97
Shots on target per 900.13
Successful dribbles per 900.48
Tackles per 901.45
Interceptions per 901.80
Clearances per 902.85
Ball recoveries per 905.17
Duels per 907.45
Goals per 900.03
Assists per 900.19
Possession lost per 9013.94
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 901.40
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy92.4%
Dribble success rate50.0%
Duel win rate64.6%
Aerial duel win rate100.0%
Tackle success rate75.9%
Shot on target rate13.9%
Long ball accuracy50.7%
04 / Role telemetry

Performance profile

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

Role-relative telemetryPercentile 0-100

Compared with Full back players in this season33 in reference group

  • Passing87.4pctl
  • Defensive63.6pctl
  • Ball retention69.2pctl
  • Duel67.4pctl
  • Dribbling60.2pctl
  • Creation90.5pctl
  • Shooting28.7pctl
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

71.6/ 100

Highly efficient

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

Coverage 100%

Opposition Index

42.7/ 100

Softer schedule

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

29 rated opponents

Momentum Index

48.2/ 100

Steady form

Last 2 scored matches 64.2 vs earlier 65.1 (−0.9).

Breakout Index

47.6/ 100

No clear movement

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

Minutes −44Starts +4pp

Decline Index

52.4/ 100

No clear movement

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

27 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 905.57
Key passes per 901.40
Chances created per 901.05
Big chances created per 900.27
Crosses per 903.04
Shots per 900.70
Successful dribbles per 900.30

Team effect

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

Started26 fixtures1.77pts/match
Did not start7 fixtures1.14pts/match

Difference: +0.63 points per match. This is a description of results only and does not establish that the player caused them.

Efficiency Index components
Pass accuracyweight 30%
92.4%
Duel win rateweight 25%
64.6%
Tackle success rateweight 20%
75.9%
Dribble success rateweight 25%
50.0%
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 87DEF 64RET 69DUEL 67DRIB 60CREA 91SHOT 29
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Passing87.4
Defensive63.6
Ball retention69.2
Duel67.4
Dribbling60.2
Creation90.5
Shooting28.7

Dashed ring marks the full back median (50th percentile) across 33 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

74.5/ 100

Assessment

Established-sample estimate

29 appearances · 3,345 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 29 appearances · 3,345 minutes as full back.

Component breakdown

Duelweight 15%
67.4
Passingweight 20%
87.4
Creationweight 20%
90.5
Defensiveweight 25%
63.6
Dribblingweight 10%
60.2
Ball retentionweight 10%
69.2

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
21 May 2026Brøndby IF3–1Away746.50001
17 May 2026Randers FC5–0Home16sub6.40000
10 May 2026Silkeborg IF4–0Away907.1800076.3
03 May 2026Fredericia3–3Away887.4401076.1
27 Apr 2026Vejle Boldklub3–0Home907.6900093.3
22 Apr 2026Odense BK2–1Home907.0900064.2
19 Apr 2026Vejle Boldklub4–1Away907.0801050.5
12 Apr 2026Randers FC2–1Away756.22000
05 Apr 2026Silkeborg IF7–0Home1806.9400060.7
22 Mar 2026Fredericia1–2Home1807.3700069.2
15 Mar 2026Odense BK1–2Away1806.4300018.8
01 Mar 2026Randers FC1–2Home1807.3500074.8
21 Feb 2026Odense BK2–2Away1807.1501058.1
14 Feb 2026Nordsjælland1–2Home18sub6.32000
07 Dec 2025Sønderjyske Fodbold0–2Home1808.1000076.4
30 Nov 2025AGF0–2Away1646.8400048.5
23 Nov 2025Brøndby IF1–0Home1807.6000060.1
09 Nov 2025Vejle Boldklub0–2Away1807.5200075.7
01 Nov 2025Fredericia3–2Home1527.2800068.5
17 Oct 2025Silkeborg IF1–3Away925.93000
05 Oct 2025FC Midtjylland1–1Home1806.6600057.8
27 Sept 2025Sønderjyske Fodbold2–1Away1807.2400057.7
21 Sept 2025Silkeborg IF3–3Home907.4201172.2
13 Sept 2025Brøndby IF1–2Away466.23000
31 Aug 2025Randers FC5–1Away837.6510066.4
23 Aug 2025Odense BK1–1Home44sub6.9700078.5
01 Aug 2025Fredericia2–0Away907.8900066.3
26 Jul 2025Vejle Boldklub2–0Home697.0300066.7
18 Jul 2025Viborg FF3–2Away847.1500083.3

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
29
Minutes
3,345
Average opponent strength
42.7Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Brøndby IF, Randers FC, Silkeborg IF, Fredericia, Vejle Boldklub, 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
Junnosuke SuzukiFC KøbenhavnFull back71.8Compare
Lucas LissensRanders FCFull back61.4Compare
Kevin MbabuFC MidtjyllandFull back60.9Compare
Lasse FløVejle BoldklubFull back60.8Compare
Rodrigo Huescas FC KøbenhavnFull back59.0Compare

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