Player dossier

Superliga · 2025/2026

Tobias Bech

Winger
Team
AGF
Role
Winger
Nationality
Denmark
Date of birth
19 Feb 2002 (age 24)
Shirt number
31
Season
2025/2026

All players

01 / Record

Performance summary

32 appearances · 3,481 minutesEstablished sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
32
Starts
32

0 unused substitute matchdays

Minutes
3,481
Average rating
7.22

Sportmonks rating · 32 rated matches

Goals
12

Counted from match events

Assists
4

Counted from match events

Yellow cards
3

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 9043.88
Passes per 9024.67
Accurate passes per 9019.91
Passes in final third per 903.10
Key passes per 901.16
Chances created per 900.80
Shots per 903.26
Shots on target per 901.29
Successful dribbles per 901.16
Tackles per 901.01
Interceptions per 900.36
Clearances per 900.78
Ball recoveries per 903.59
Duels per 908.87
Goals per 900.41
Assists per 900.18
Possession lost per 9012.13
Saves per 90Not available
Saves inside box per 90Not available
Goals conceded per 900.96
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy80.7%
Dribble success rate59.2%
Duel win rate39.4%
Aerial duel win rate60.9%
Tackle success rate69.2%
Shot on target rate39.7%
Long ball accuracy59.0%
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

  • Creation43.7pctl
  • Dribbling64.4pctl
  • Passing47.5pctl
  • Shooting79.3pctl
  • Ball retention47.5pctl
  • Duel39.7pctl
  • Defensive26.7pctl
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

56.7/ 100

Above average

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

Coverage 100%

Opposition Index

47.9/ 100

Balanced schedule

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

32 rated opponents

Momentum Index

40.7/ 100

Slightly declining

Last 2 scored matches 57.2 vs earlier 61.8 (−4.7).

Breakout Index

41.3/ 100

No upward signal

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

Minutes −23Starts 0pp

Decline Index

58.7/ 100

No clear movement

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

32 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 902.48
Key passes per 900.85
Chances created per 900.59
Big chances created per 900.18
Crosses per 901.11
Shots per 902.46
Successful dribbles per 900.80

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 32 started and 0 not started).

Efficiency Index components
Dribble success rateweight 35%
59.2%
Pass accuracyweight 25%
80.7%
Shot on target rateweight 25%
39.7%
Duel win rateweight 15%
39.4%
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.

CREA 44DRIB 64PASS 47SHOT 79RET 47DUEL 40DEF 27
Role-relative percentile values plotted in the profile chart for 2025/2026
FamilyPercentile
Creation43.7
Dribbling64.4
Passing47.5
Shooting79.3
Ball retention47.5
Duel39.7
Defensive26.7

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

55.5/ 100

Assessment

Established-sample estimate

32 appearances · 3,481 minutes

Experimental modelCoverage 100%Established sample

Based on available match data — 32 appearances · 3,481 minutes as winger.

Component breakdown

Duelweight 10%
39.7
Passingweight 15%
47.5
Creationweight 25%
43.7
Shootingweight 20%
79.3
Dribblingweight 20%
64.4
Ball retentionweight 10%
47.5

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 2026Viborg FF6–2Home907.6101062.7
10 May 2026Brøndby IF2–0Away846.48000
03 May 2026Sønderjyske Fodbold2–1Home907.64100
26 Apr 2026FC Midtjylland0–0Home907.3200067.3
23 Apr 2026Nordsjælland1–1Away656.58000
20 Apr 2026FC Midtjylland1–2Away906.8200055.2
10 Apr 2026Nordsjælland1–1Home826.7700060.2
06 Apr 2026Viborg FF2–1Away896.74000
22 Mar 2026Brøndby IF0–0Home1726.95001
15 Mar 2026Sønderjyske Fodbold1–1Away907.7210076.7
01 Mar 2026Vejle Boldklub2–1Away906.61000
22 Feb 2026Viborg FF5–2Home1727.1501043.4
15 Feb 2026Fredericia1–1Away907.3400065.3
09 Feb 2026Odense BK2–1Home807.31000
07 Dec 2025Randers FC2–1Away1528.41200
30 Nov 2025FC København2–0Home866.69000
21 Nov 2025Silkeborg IF2–0Away1646.9400060.4
09 Nov 2025Sønderjyske Fodbold2–3Home1806.6900050.3
03 Nov 2025FC Midtjylland1–1Away1807.20101
24 Oct 2025Nordsjælland1–0Home1807.9201073.3
19 Oct 2025Brøndby IF3–3Away1807.8711057.0
05 Oct 2025Silkeborg IF3–1Home887.7510068.5
28 Sept 2025Nordsjælland2–1Away907.34000
21 Sept 2025Brøndby IF1–0Home1566.9900158.0
14 Sept 2025Viborg FF2–1Away776.59000
31 Aug 2025Fredericia4–1Home687.9310066.3
24 Aug 2025Vejle Boldklub1–0Home907.0700074.7
18 Aug 2025Odense BK5–1Away728.8620074.8
08 Aug 2025FC København3–2Away807.3810065.3
03 Aug 2025FC Midtjylland0–0Home846.81000
25 Jul 2025Randers FC1–2Home906.41000
20 Jul 2025Sønderjyske Fodbold1–1Away907.19100

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
AGF
Appearances
32
Minutes
3,481
Average opponent strength
47.9Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: Viborg FF, Brøndby IF, Sønderjyske Fodbold, FC Midtjylland, Nordsjælland, Vejle Boldklub.

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
Sami JalalViborg FFWinger56.1Compare
Giorgi TabatadzeVejle BoldklubWinger56.3Compare
Olti HyseniSønderjyske FodboldWinger56.3Compare
Emilio SimonsenFredericiaWinger54.1Compare
Charly NouckViborg FFWinger57.7Compare

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