Player dossier
Superliga · 2026/2027
Oliver Ross
- Team
- Silkeborg IF
- Role
- Attacking midfielder
- Nationality
- Denmark
- Date of birth
- 10 Oct 2004 (age 21)
- Shirt number
- 11
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Performance summary
4 appearances · 236 minutesEarly sampleAll figures cover completed fixtures in this season only.
- Appearances
- 4
- Starts
- 4
- Minutes
- 236
- Average rating
- 7.14
- Goals
- 2
- Assists
- 1
- Yellow cards
- 0
- Red cards
- Not available
0 unused substitute matchdays
Sportmonks rating · 4 rated matches
Counted from match events
Counted from match events
Counted from match events
Per-90 statistics
Season totals scaled to 90 minutes played. Metrics the provider did not record are marked as not available rather than zero.
| Metric | Per 90 |
|---|---|
| Touches per 90 | 49.19 |
| Passes per 90 | 31.65 |
| Accurate passes per 90 | 25.17 |
| Passes in final third per 90 | 1.91 |
| Key passes per 90 | 1.53 |
| Chances created per 90 | 1.53 |
| Shots per 90 | 2.67 |
| Shots on target per 90 | 1.91 |
| Successful dribbles per 90 | 1.14 |
| Tackles per 90 | 1.14 |
| Interceptions per 90 | Not available |
| Clearances per 90 | 1.91 |
| Ball recoveries per 90 | 4.58 |
| Duels per 90 | 8.01 |
| Goals per 90 | 0.76 |
| Assists per 90 | 0.38 |
| Possession lost per 90 | 12.97 |
| Saves per 90 | Not available |
| Saves inside box per 90 | Not available |
| Goals conceded per 90 | 1.53 |
Efficiency
Success rates computed only where both the numerator and the denominator exist.
| Metric | Rate |
|---|---|
| Pass accuracy | 79.5% |
| Dribble success rate | 50.0% |
| Duel win rate | 47.6% |
| Aerial duel win rate | 50.0% |
| Tackle success rate | 66.7% |
| Shot on target rate | 71.4% |
| Long ball accuracy | 100.0% |
Performance profile
Percentiles compare this player with others in the same role and season. Only families relevant to attacking midfielder are shown.
Compared with Attacking midfielder players in this season12 in reference groupSmall reference group
- Passing29.2pctl
- Creation52.8pctl
- Ball retention45.8pctl
- Duel34.0pctl
- Dribbling36.1pctl
- Defensive54.7pctl
- Shooting81.4pctl
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.
Efficiency Index
Needs 360 minutes and 5 appearances
Useful output divided by relevant attempted actions, weighted for the player's role.
Opposition Index
Balanced schedule
Minutes-weighted strength of the opponents actually faced. Context only — it does not adjust the Impact Score.
Momentum Index
Needs 4 scored matches and the publishable season sample
Recent scored match impacts against the player's earlier observations.
Breakout Index
Insufficient sample
Signal, not a prediction: recent impact, minutes and starting involvement, read against role-relative standing and opponent strength.
Decline Index
Insufficient sample
The same development axis read downwards. A signal of sustained negative movement, not a prediction.
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.
| Metric | Per 90 |
|---|---|
| Passes in final third per 90 | 1.91 |
| Key passes per 90 | 1.53 |
| Chances created per 90 | 1.53 |
| Big chances created per 90 | Not available |
| Crosses per 90 | 0.76 |
| Shots per 90 | 2.67 |
| Successful dribbles per 90 | 1.14 |
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 4 started and 0 not started).
Role-relative percentiles from the 2026/2027 season. Only metrics relevant to this player's role are shown.
| Family | Percentile |
|---|---|
| Passing | 29.2 |
| Creation | 52.8 |
| Ball retention | 45.8 |
| Duel | 34.0 |
| Dribbling | 36.1 |
| Defensive | 54.7 |
| Shooting | 81.4 |
Dashed ring marks the attacking midfielder median (50th percentile) across 12 players in the reference group.
Football Performance Lab Impact Score
Impact score will appear after a larger sample. Publication requires 360 minutes, 5 appearances, at least 90% metric coverage and an established role.
Match history
Completed fixtures with recorded minutes, most recent first.
| Date | Opponent | Venue | Min | Rating | G | A | YC | Impact |
|---|---|---|---|---|---|---|---|---|
| 16 Aug 2026 | Nordsjælland0–1 | Away | 46 | 6.50 | 0 | 0 | 0 | — |
| 10 Aug 2026 | Odense BK1–0 | Home | 69 | 7.15 | 0 | 1 | 0 | 69.5 |
| 02 Aug 2026 | FC København1–3 | Home | 63 | 7.42 | 1 | 0 | 0 | — |
| 27 Jul 2026 | Randers FC1–1 | Away | 58 | 7.48 | 1 | 0 | 0 | 68.5 |
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.
Season context
- Competition
- Superliga
- Season
- 2026/2027
- Team
- Silkeborg IF
- Appearances
- 4
- Minutes
- 236
- Average opponent strength
- 51.2Minutes-weighted, 0–100 team strength scale. Contextual only — it does not adjust the scores above.
Recent opponents: Nordsjælland, Odense BK, FC København, Randers FC.
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.
Neither season meets the published-sample threshold, so no season-on-season comparison is shown.
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.
Compare similar players
| Player | Team | Role | Impact | Compare |
|---|---|---|---|---|
| Julius Madsen | Horsens | Attacking midfielder | 39.3 | Compare |
| Mohamed Cherif Haidara | Sønderjyske Fodbold | Attacking midfielder | 32.7 | Compare |
| Olti Hyseni | Not available | Attacking midfielder | Not publishable | Compare |
| Callum McCowatt | Silkeborg IF | Attacking midfielder | Not publishable | Compare |
| Kristian Arnstad | AGF | Attacking midfielder | Not publishable | Compare |
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.
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.