Player dossier
Superliga · 2025/2026
Warren Caddy
Warren Caddy- Team
- Randers FC
- Role
- Striker
- Nationality
- Madagascar
- Date of birth
- 09 Apr 1997 (age 29)
- Shirt number
- 10
- Competition
- Superliga (Denmark)
- Season
- 2025/2026
Season snapshot
12 appearances · 826 minutesEstablished sampleAll figures cover completed fixtures in this season only.
- Appearances
- 12
- Starts
- 10
- Minutes
- 826
- Goals
- 2
- Assists
- 0
- Yellow cards
- 0
- Red cards
- Not available
2 unused substitute matchdays
Counted from match events
Counted from match events
Counted from match events
Provider rating & details
Provider match ratingAverage rating across 12 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.69
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
41.2/ 100
Close to average for their role
Established-sample estimate · 12 appearances · 826 minutes as striker
Non-Penalty Finishing Score
5.4/ 100
Among the lowest in their role
Compared with strikers (43)
Attacking Threat Score
10.6/ 100
Among the lowest in their role
Compared with strikers (43)
Creative Impact Score
14.5/ 100
Among the lowest in their role
Compared with strikers (43)
How the Impact Score is built
- Duelweight 15%
- 62.7
- Passingweight 10%
- 63.2
- Creationweight 20%
- 14.5
- Shootingweight 35%
- 32.8
- Dribblingweight 10%
- 51.4
- Ball retentionweight 10%
- 59.3
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.
Aerial Forward
Strong matchA target in the air, contesting and winning a lot of aerial duels.
Why this style
- Aerial duels per 9080th
- Aerial win rate68th
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 striker are shown.
| Family | Percentile |
|---|---|
| Shooting | 32.8 |
| Creation | 14.5 |
| Ball retention | 59.3 |
| Duel | 62.7 |
| Dribbling | 51.4 |
| Passing | 63.2 |
| Defensive | 26.2 |
Dashed ring marks the striker median (50th percentile) across 43 comparable players.
Percentile detail
Compared with Striker players in this season43 in reference group
- Shooting32.8pctl
- Creation14.5pctl
- Ball retention59.3pctl
- Duel62.7pctl
- Dribbling51.4pctl
- Passing63.2pctl
- Defensive26.2pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Jonah AyungaVery similar style98 / 100
St. Mirren · Striker · Premiership 2025/2026 · Aerial Forward
Similar in attacking involvement, defensive duels, defensive activity. Different in ball security, aerial play.
- Gue-sung ChoVery similar style97 / 100
FC Midtjylland · Striker · Superliga 2026/2027 · Aerial Forward
Similar in defensive duels, passing, dribbling. Different in defensive activity, shooting.
- Joe WestleyVery similar style94 / 100
Dundee · Striker · Premiership 2026/2027 · Aerial Forward
Similar in ball security, aerial play, defensive activity. Different in defensive duels, passing.
Show 2 more similar players
- Gue-sung ChoVery similar style94 / 100
FC Midtjylland · Striker · Superliga 2025/2026
Similar in chance creation, attacking involvement, aerial play. Different in ball security, dribbling.
- Kevin NisbetVery similar style93 / 100
Aberdeen · Striker · Premiership 2026/2027 · Direct Forward
Similar in ball security, dribbling, defensive activity. Different in defensive duels, chance creation.
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
Steady form
Detail
Momentum ScoreLast 2 scored matches 60.3 vs earlier 58.1 (+2.2).54.3/ 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 −18 · Starts −40pp42.0/ 100
Decline
Some signs of decline
Detail
Decline ScoreLooks for signs that the player's performances and playing time are dropping. It is not a prediction.12 scored matches58.0/ 100
Opposition strength
Easier than average
Detail
Opposition Difficulty ScoreShows how strong the opponents have been. It is context only and does not change the Impact Score.12 rated opponents41.6/ 100
Efficiency
Around average
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 100%46.2/ 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: +0.30 points per match. This is a description of results only and does not mean the player caused them.
Efficiency Score components
- Shot on target rateweight 40%
- 26.9%
- Aerial duel win rateweight 20%
- 47.1%
- Pass accuracyweight 20%
- 74.7%
- Dribble success rateweight 20%
- 55.6%
| Metric | Rate |
|---|---|
| Pass accuracy | 74.7% |
| Dribble success rate | 55.6% |
| Duel win rate | 44.5% |
| Aerial duel win rate | 47.1% |
| Tackle success rate | Not available |
| Shot on target rate | 26.9% |
| Long ball accuracy | 50.0% |
Warren Caddy · 0–100% scale
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.