Player dossier

Superliga · 2025/2026

Callum McCowatt

Attacking midfielder
Role
Attacking midfielder
Nationality
New Zealand
Date of birth
30 Apr 1999 (age 27)
Shirt number
17
Season
2025/2026

All players

01 / Record

Performance summary

15 appearances · 1,183 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
15
Starts
14

1 unused substitute matchday

Minutes
1,183
Average rating
7.53

Sportmonks rating · 15 rated matches

Goals
7

Counted from match events

Assists
3

Counted from match events

Yellow cards
1

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 9050.29
Passes per 9024.95
Accurate passes per 9026.02
Passes in final third per 903.73
Key passes per 901.22
Chances created per 900.99
Shots per 901.37
Shots on target per 900.84
Successful dribbles per 901.14
Tackles per 901.83
Interceptions per 900.38
Clearances per 901.07
Ball recoveries per 903.65
Duels per 909.51
Goals per 900.15
Assists per 900.23
Possession lost per 9013.54
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 901.52
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy100.0%
Dribble success rate71.4%
Duel win rate48.0%
Aerial duel win rate66.7%
Tackle success rate37.5%
Shot on target rate61.1%
Long ball accuracy91.7%
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 season11 in reference groupSmall reference group

  • Passing65.2pctl
  • Creation31.8pctl
  • Ball retention62.1pctl
  • Duel40.9pctl
  • Dribbling56.1pctl
  • Defensive50.5pctl
  • Shooting42.2pctl
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

75.2/ 100

Highly efficient

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

Coverage 100%

Opposition Index

47.0/ 100

Balanced schedule

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

15 rated opponents

Momentum Index

65.1/ 100

Rising form

Last 2 scored matches 76.2 vs earlier 68.6 (+7.6).

Breakout Index

60.3/ 100

Upward signal

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

Minutes −8Starts 0pp

Decline Index

39.7/ 100

No decline signal

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

13 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 906.24
Key passes per 901.45
Chances created per 901.45
Big chances created per 900.23
Crosses per 902.21
Shots per 902.74
Successful dribbles per 902.05

Team effect

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

Started14 fixtures1.21pts/match
Did not start18 fixtures1.06pts/match

Difference: +0.15 points per match. This is a description of results only and does not establish that the player caused them.

Efficiency Index components
Pass accuracyweight 35%
100.0%
Dribble success rateweight 30%
71.4%
Duel win rateweight 20%
48.0%
Shot on target rateweight 15%
61.1%
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 65CREA 32RET 62DUEL 41DRIB 56DEF 50SHOT 42
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Passing65.2
Creation31.8
Ball retention62.1
Duel40.9
Dribbling56.1
Defensive50.5
Shooting42.2

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

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

47.6/ 100

Assessment

Established-sample estimate

15 appearances · 1,183 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 15 appearances · 1,183 minutes as attacking midfielder.

Component breakdown

Duelweight 10%
40.9
Passingweight 20%
65.2
Creationweight 30%
31.8
Shootingweight 15%
42.2
Dribblingweight 15%
56.1
Ball retentionweight 10%
62.1

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
17 May 2026Fredericia1–4Away606.95000
10 May 2026FC København0–4Home907.17000
03 May 2026Odense BK3–2Away907.8302048.9
26 Apr 2026Randers FC2–0Home908.0601081.6
05 Apr 2026FC København0–7Away656.26001
16 Mar 2026Vejle Boldklub1–1Home907.04000
30 Nov 2025Randers FC0–0Home907.81000
21 Nov 2025AGF0–2Home26sub6.58000
07 Nov 2025Odense BK1–1Away467.2210053.7
02 Nov 2025Brøndby IF0–2Home907.9600083.2
17 Oct 2025FC København3–1Home907.50100
28 Sept 2025Vejle Boldklub1–1Home907.03000
21 Sept 2025FC København3–3Away909.60300
14 Sept 2025Odense BK2–1Home907.87100
24 Aug 2025FC Midtjylland2–4Away868.05100

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
15
Minutes
1,183
Average opponent strength
47.0Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Fredericia, FC København, Odense BK, Randers FC, Vejle Boldklub, AGF.

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
Mike ThemsenRanders FCAttacking midfielder48.2Compare
Fiete ArpOdense BKAttacking midfielder54.6Compare
Kristall Máni IngasonSønderjyske FodboldAttacking midfielder38.4Compare
Younes BakizSilkeborg IFAttacking midfielder37.5Compare
Mohamed Cherif HaidaraSønderjyske FodboldAttacking midfielder36.6Compare

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