Player dossier

Superliga · 2026/2027

Jannich Storch

Goalkeeper
Role
Goalkeeper
Nationality
Denmark
Date of birth
12 May 1993 (age 33)
Shirt number
32
Season
2026/2027

All players

01 / Record

Performance summary

5 appearances · 406 minutesDeveloping sampleAll figures cover completed fixtures in this season only.

Player recordCompleted fixtures
Appearances
5
Starts
5

0 unused substitute matchdays

Minutes
406
Average rating
6.80

Sportmonks rating · 5 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 9040.79
Passes per 9032.14
Accurate passes per 9019.06
Passes in final third per 906.43
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 901.33
Ball recoveries per 907.98
Duels per 90Not available
Goals per 90Not available
Assists per 90Not available
Possession lost per 9013.08
Saves per 903.99
Saves inside box per 902.44
Goals conceded per 901.55
03 / Telemetry

Efficiency

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

Efficiency data sheetSuccess rates
Efficiency rates
MetricRate
Pass accuracy59.3%
Dribble success rateNot available
Duel win rateNot available
Aerial duel win rateNot available
Tackle success rateNot available
Shot on target rateNot available
Long ball accuracy27.9%
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 season11 in reference groupSmall reference group

  • Goalkeeping52.3pctl
  • Passing47.0pctl
  • Ball retention25.8pctl
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

43.6/ 100

Below average

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

Coverage 100%

Opposition Index

54.5/ 100

Balanced schedule

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

5 rated opponents

Momentum Index

3.2/ 100

Falling form

Last 2 scored matches 40.0 vs earlier 63.4 (−23.4).

Breakout Index

15.1/ 100

No upward signal

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

Minutes −22Starts 0pp

Decline Index

84.9/ 100

Sustained negative signal

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

5 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 906.43
Key passes per 90Not available
Chances created per 90Not available
Big chances created per 90Not available
Crosses per 90Not available
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.

Insufficient sample — the comparison needs at least 3 completed fixtures in both groups (currently 5 started and 0 not started).

Efficiency Index components
Pass accuracyweight 50%
59.3%
Long ball accuracyweight 50%
27.9%
05.1 / Player telemetry · ProfilePercentile 0-100

Role-relative percentiles from the 2026/2027 season. Only metrics relevant to this player's role are shown.

GK 52PASS 47RET 26
Role-relative percentile values plotted in the profile chart for 2026/2027
FamilyPercentile
Goalkeeping52.3
Passing47.0
Ball retention25.8

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

06 / Performance index

Football Performance Lab Impact Score

Performance indexExperimental assessment

47.0/ 100

Assessment

Developing-sample estimate

5 appearances · 406 minutes

Experimental modelCoverage 100%Developing sample

Based on available match data — 5 appearances · 406 minutes as goalkeeper.

Component breakdown

Passingweight 25%
47.0
Goalkeepingweight 60%
52.3
Ball retentionweight 15%
25.8

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
DateOpponentVenueMinRatingGAYCImpact
23 Aug 2026FC Midtjylland0–1Away466.4500042.4
16 Aug 2026FC København0–4Home905.9800037.5
09 Aug 2026Lyngby Boldklub2–0Home907.2300059.9
02 Aug 2026Nordsjælland0–1Away907.2000074.0
27 Jul 2026Silkeborg IF1–1Home907.1600056.2

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
2026/2027
Appearances
5
Minutes
406
Average opponent strength
54.5Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.

Recent opponents: FC Midtjylland, FC København, Lyngby Boldklub, Nordsjælland, 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.

2026/2027 season in progress · 27 of 132 fixtures completed. Differences below are not full-season comparisons while the season is incomplete.

Season on season2025/20262026/2027
Measure2025/20262026/2027Difference
Impact Score47.947.0−0.9
Minutes played630406−224
Appearances65−1
Starting share100.0%100.0%0.0%
Average opponent strength48.754.5+5.8
Touches per 9034.1440.79+6.65
Passes per 9032.2932.14−0.14
Accurate passes per 9025.7119.06−6.65
Passes in final third per 903.716.43+2.71
Interceptions per 900.14Not availableNot available
Clearances per 900.861.33+0.47
Ball recoveries per 907.007.98+0.98
Duels per 900.57Not availableNot available
Possession lost per 906.1413.08+6.94
Saves per 902.713.99+1.28
Saves inside box per 901.572.44+0.87
Goals conceded per 902.141.55−0.59
Pass accuracy79.7%59.3%−20.3%
Duel win rate50.0%Not availableNot available
Aerial duel win rate100.0%Not availableNot available
Long ball accuracy42.0%27.9%−14.2%
Role
Same role in both seasons · Goalkeeper
Team
Same team · Randers FC

Presentation only: each figure is the stored season value for that season. No season-to-season index or score is calculated.

10 / Cross-reference

Compare similar players

Players with a comparable Impact Score profile
PlayerTeamRoleImpactCompare
Matej DelacHorsensGoalkeeper50.2Compare
Diego KochenLyngby BoldklubGoalkeeper28.7Compare
Kasper KiilerichViborg FFGoalkeeper73.3Compare
Aske AndrésenSilkeborg IFGoalkeeperNot publishableCompare
Viljar MyhraOdense BKGoalkeeperNot publishableCompare

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