Player dossier
Superliga · 2026/2027
Jannich Storch
Jannich Storch- Team
- Randers FC
- Role
- Goalkeeper
- Nationality
- Denmark
- Date of birth
- 12 May 1993 (age 33)
- Shirt number
- 32
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
5 appearances · 406 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 5
- Starts
- 5
- Minutes
- 406
- Goals
- 0
- Assists
- 0
- Yellow cards
- 0
- Red cards
- Not available
3 unused substitute matchdays
Counted from match events
Counted from match events
Counted from match events
Provider rating & details
Provider match ratingAverage rating across 5 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.80
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
51.9/ 100
Slightly above average for their role
Early-season estimate · 5 appearances · 406 minutes as goalkeeper
Goalkeeper Performance Score
59.1/ 100
Above average for their role
Compared with goalkeepers (15)
How the Impact Score is built
- Passingweight 25%
- 38.9
- Goalkeepingweight 60%
- 65.0
- Ball retentionweight 15%
- 21.1
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.
Playing style
How this player tends to contribute, compared with players in the same role and season. Style, not quality.
Shot-Focused Goalkeeper
Strong matchBusy on the line: a high volume of saves, including inside the box.
Why this style
- Saves per 9097th
- Saves inside the box per 9097th
- Save rate77th
Archetypes describe statistical playing style, not player quality. How this is built
Player profile
See where the player ranks compared with others in the same role. A percentile of 80 means the player ranks higher than 80% of the comparison group. Only areas relevant to goalkeeper are shown.
| Family | Percentile |
|---|---|
| Goalkeeping | 65.0 |
| Passing | 38.9 |
| Ball retention | 21.1 |
Dashed ring marks the goalkeeper median (50th percentile) across 15 comparable players.
Percentile detail
Compared with Goalkeeper players in this season15 in reference group
- Goalkeeping65.0pctl
- Passing38.9pctl
- Ball retention21.1pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Per Kristian BråtveitVery similar style100 / 100
Aberdeen · Goalkeeper · Premiership 2025/2026 · Shot-Focused Goalkeeper
Similar in goalkeeping, passing.
- Jon McCrackenVery similar style97 / 100
Dundee · Goalkeeper · Premiership 2025/2026 · Shot-Focused Goalkeeper
Similar in goalkeeping, passing.
- Dave RichardsVery similar style96 / 100
Dundee United · Goalkeeper · Premiership 2025/2026 · Shot-Focused Goalkeeper
Similar in goalkeeping, passing.
Show 2 more similar players
- Mattias LamhaugeVery similar style93 / 100
Fredericia · Goalkeeper · Superliga 2025/2026 · Shot-Focused Goalkeeper
Similar in passing, goalkeeping.
- Matej DelacSimilar style89 / 100
Horsens · Goalkeeper · Superliga 2026/2027 · Shot-Focused Goalkeeper
Similar in passing, goalkeeping.
How similarity works
Similarity compares playing profiles inside the same role family. A score of 92 means the pair is closer than 92% of comparable player pairs. It is not a rating of ability, market value or transfer suitability.
Form & context
Recent form, development and match context from completed fixtures. These figures add context to the scores above and are not official ratings or predictions.
Form
Form is falling
Detail
Momentum ScoreLast 2 scored matches 41.4 vs earlier 60.7 (−19.3).11.4/ 100
Development
No clear upward trend
Detail
Breakout ScoreLooks at recent performances, playing time and starts to spot signs that a player is improving. It is not a prediction.Minutes −22 · Starts 0pp22.3/ 100
Decline
Strong downward trend
Detail
Decline ScoreLooks for signs that the player's performances and playing time are dropping. It is not a prediction.5 scored matches77.7/ 100
Opposition strength
Around average
Detail
Opposition Difficulty ScoreShows how strong the opponents have been. It is context only and does not change the Impact Score.5 rated opponents55.7/ 100
Efficiency
Below average
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 100%43.6/ 100
Team effect and success rates
Team effect
Compares team points per completed match when the player starts and when he does not. This describes results, not proof that the player caused them.
Difference: −0.70 points per match. This is a description of results only and does not mean the player caused them.
Efficiency Score components
- Pass accuracyweight 50%
- 59.3%
- Long ball accuracyweight 50%
- 27.9%
| Metric | Rate |
|---|---|
| Pass accuracy | 59.3% |
| Dribble success rate | Not available |
| Duel win rate | Not available |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | Not available |
| Long ball accuracy | 27.9% |
Not enough efficiency rates are available for this player and season to draw a profile chart. The table lists every rate that can be calculated.
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.