Player dossier

Superliga · 2025/2026

Patrick Pentz

Goalkeeper
Role
Goalkeeper
Nationality
Austria
Date of birth
02 Jan 1997 (age 29)
Shirt number
1
Season
2025/2026

All players

01 / Record

Performance summary

10 appearances · 885 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
10
Starts
10

0 unused substitute matchdays

Minutes
885
Average rating
7.31

Sportmonks rating · 10 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 9041.90
Passes per 9029.49
Accurate passes per 9021.46
Passes in final third per 902.44
Key passes per 90Not available
Chances created per 90Not available
Shots per 90Not available
Shots on target per 90Not available
Successful dribbles per 90Not available
Tackles per 90Not available
Interceptions per 90Not available
Clearances per 900.10
Ball recoveries per 905.80
Duels per 900.61
Goals per 90Not available
Assists per 90Not available
Possession lost per 904.68
Saves per 903.86
Saves inside box per 901.93
Goals conceded per 900.71
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy72.8%
Dribble success rateNot available
Duel win rate83.3%
Aerial duel win rate100.0%
Tackle success rateNot available
Shot on target rateNot available
Long ball accuracy55.3%
04 / Role telemetry

Performance profile

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

Role-relative telemetryPercentile 0-100

Compared with Goalkeeper players in this season17 in reference group

  • Goalkeeping80.9pctl
  • Passing38.2pctl
  • Ball retention67.7pctl
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

64.0/ 100

Above average

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

Coverage 100%

Opposition Index

50.2/ 100

Balanced schedule

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

10 rated opponents

Momentum Index

85.0/ 100

Rising form

Last 2 scored matches 83.6 vs earlier 66.1 (+17.5).

Breakout Index

79.7/ 100

Strong upward signal

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

Minutes +2Starts 0pp

Decline Index

20.3/ 100

No decline signal

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

9 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 903.25
Key passes per 90Not available
Chances created per 90Not available
Big chances created per 90Not available
Crosses per 900.20
Shots per 90Not available
Successful dribbles per 90Not available

Team effect

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

Started10 fixtures1.40pts/match
Did not start23 fixtures1.35pts/match

Difference: +0.05 points per match. This is a description of results only and does not establish that the player caused them.

Efficiency Index components
Pass accuracyweight 50%
72.8%
Long ball accuracyweight 50%
55.3%
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.

GK 81PASS 38RET 68
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Goalkeeping80.9
Passing38.2
Ball retention67.7

Dashed ring marks the goalkeeper median (50th percentile) across 17 players in the reference group.

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

68.2/ 100

Assessment

Established-sample estimate

10 appearances · 885 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 10 appearances · 885 minutes as goalkeeper.

Component breakdown

Passingweight 25%
38.2
Goalkeepingweight 60%
80.9
Ball retentionweight 15%
67.7

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
07 Apr 2026Nordsjælland1–2Away907.3500078.5
22 Mar 2026AGF0–0Away908.2400088.7
08 Dec 2025Vejle Boldklub1–2Away756.23000
01 Dec 2025Fredericia1–3Home906.3400044.7
23 Nov 2025FC København0–1Away907.3600073.2
09 Nov 2025Nordsjælland2–0Home907.7500086.1
02 Nov 2025Silkeborg IF2–0Away907.7600072.5
19 Oct 2025AGF3–3Home906.4000044.8
28 Sept 2025Odense BK5–1Home907.6500076.7
27 Jul 2025Nordsjælland1–0Away908.00000

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
10
Minutes
885
Average opponent strength
50.2Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Nordsjælland, AGF, Vejle Boldklub, Fredericia, FC København, 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
Nicolai LarsenSilkeborg IFGoalkeeper67.0Compare
Andreas HansenNordsjællandGoalkeeper65.7Compare
Dominik KotarskiFC KøbenhavnGoalkeeper59.3Compare
Paul IzzoRanders FCGoalkeeper58.3Compare
Lucas LundViborg FFGoalkeeper55.4Compare

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