Skovsen — CS2 Stats
DK76561198325993016[U:1:365727288]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 41.8% | 47.2% | 49.9% | 8.2% short |
| Shot accuracy | 14.5% | 12.7% | 13.4% | above |
| Kill/death ratio | 1.12 | 1.09 | 1.12 | meets |
| Match win rate | 49.4% | 46.6% | 48.4% | meets |
This profile matches the typical Red band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like sh1ro 93% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: higher opening-duel success.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 27 | 15–12 | 56% | 0.04 | |
| S | 15 | 10–5 | 67% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.06 | |
| A | 14 | 8–6 | 57% | 0.04 | |
| A | 11 | 7–4 | 64% | 0.04 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| D | 6 | 2–4 | 33% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.04 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| grail | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 215 | 50% | 1.16 | 16.7 |
| Ancient | 167 | 56% | 1.25 | 17.2 |
| Anubis | 128 | 51% | 1.32 | 16.5 |
| Vertigo | 114 | 53% | 1.24 | 16.7 |
| Nuke | 69 | 52% | 1.54 | 17.4 |
| Inferno | 54 | 33% | 1.10 | 16.6 |
| Dust2 | 52 | 52% | 1.19 | 17.1 |
| Overpass | 36 | 61% | 1.28 | 16.9 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.07 | 12% | 24 Aug → | ||
| 13–10 | 0.11 | 33% | 21 Aug → | ||
| 4–13 | 0.09 | 37% | 17 Aug → | ||
| 11–13 | 0.04 | 22% | 6 Aug → | ||
| 10–13 | 0.01 | 14% | 5 Aug → | ||
| 5–13 | -0.04 | 21% | 5 Aug → | ||
| 9–13 | -0.01 | 15% | 5 Aug → | ||
| 13–4 | 0.10 | 25% | 5 Aug → | ||
| 13–4 | 0.05 | 17% | 4 Aug → | ||
| 2–13 | 0.04 | 24% | 4 Aug → | ||
| 10–13 | 0.02 | 20% | 3 Aug → | ||
| 13–5 | -0.02 | 6% | 30 Jul → | ||
| 13–2 | 0.05 | 29% | 30 Jul → | ||
| 13–6 | 0.07 | 32% | 30 Jul → | ||
| 13–5 | 0.18 | 34% | 29 Jul → | ||
| 13–9 | 0.09 | 14% | 29 Jul → | ||
| 10–13 | 0.08 | 27% | 27 Jul → | ||
| 13–8 | -0.00 | 27% | 26 Jul → | ||
| 13–3 | 0.04 | 16% | 26 Jul → | ||
| 13–6 | 0.10 | 23% | 25 Jul → | ||
| 1–6 | -0.04 | 11% | 24 Jul → | ||
| 4–13 | -0.06 | 22% | 24 Jul → | ||
| 13–11 | 0.10 | 24% | 23 Jul → | ||
| 10–13 | 0.06 | 27% | 4 Jul → | ||
| 13–3 | 0.14 | 27% | 4 Jul → | ||
| 13–9 | 0.14 | 38% | 1 Jul → | ||
| 13–11 | 0.05 | 13% | 29 Jun → | ||
| 7–13 | -0.02 | 20% | 29 Jun → | ||
| 13–9 | -0.01 | 23% | 29 Jun → | ||
| 13–4 | 0.11 | 31% | 29 Jun → | ||
| 13–4 | 0.00 | 13% | 28 Jun → | ||
| 15–15 | 0.01 | 24% | 27 Jun → | ||
| 13–2 | 0.07 | 37% | 26 Jun → | ||
| 8–13 | 0.08 | 42% | 25 Jun → | ||
| 13–7 | -0.04 | 25% | 16 Jun → | ||
| 13–6 | -0.04 | 19% | 6 Jun → | ||
| 13–0 | 0.04 | 31% | 6 Jun → | ||
| 13–7 | 0.13 | 29% | 1 Jun → | ||
| 10–13 | -0.01 | 27% | 29 May → | ||
| 10–13 | 0.06 | 26% | 28 May → | ||
| 13–9 | 0.12 | 21% | 28 May → | ||
| 13–11 | 0.03 | 17% | 27 May → | ||
| 13–5 | 0.15 | 30% | 27 May → | ||
| 10–13 | 0.07 | 18% | 24 May → | ||
| 13–5 | 0.10 | 29% | 8 May → | ||
| 10–13 | 0.00 | 23% | 5 May → | ||
| 14–16 | -0.02 | 24% | 11 Feb → | ||
| 16–12 | 0.09 | 31% | 26 Jan → | ||
| 13–7 | 0.02 | 33% | 26 Jan → | ||
| 9–13 | 0.07 | 20% | 24 Dec → | ||
| 13–10 | 0.04 | 38% | 23 Dec → | ||
| 6–13 | 0.02 | 25% | 20 Dec → | ||
| 13–8 | -0.07 | 31% | 19 Dec → | ||
| 13–3 | -0.00 | 46% | 18 Dec → | ||
| 13–10 | 0.04 | 17% | 10 Dec → | ||
| 13–16 | -0.00 | 25% | 9 Dec → | ||
| 7–13 | -0.02 | 14% | 8 Dec → | ||
| 13–9 | 0.05 | 26% | 8 Dec → | ||
| 13–5 | 0.03 | 18% | 7 Dec → | ||
| 16–13 | 0.04 | 23% | 7 Dec → | ||
| 11–13 | 0.04 | 27% | 7 Dec → | ||
| 13–7 | 0.01 | 29% | 4 Dec → | ||
| 13–10 | 0.08 | 35% | 2 Dec → | ||
| 13–8 | -0.07 | 17% | 17 Nov → | ||
| 14–16 | 0.06 | 20% | 10 Nov → | ||
| 13–11 | -0.01 | 43% | 10 Nov → | ||
| 13–11 | 0.09 | 35% | 6 Nov → | ||
| 10–13 | -0.02 | 31% | 1 Nov → | ||
| 10–13 | -0.03 | 16% | 29 Aug → | ||
| 13–3 | 0.03 | 16% | 29 Aug → | ||
| 13–9 | 0.01 | 19% | 27 Aug → | ||
| 3–13 | -0.04 | 30% | 27 Aug → | ||
| 12–12 | 0.01 | 34% | 26 Aug → | ||
| 7–13 | 0.05 | 21% | 5 Aug → | ||
| 2–13 | -0.02 | 46% | 4 Aug → | ||
| 9–1 | 0.09 | 40% | 30 Jul → | ||
| 13–5 | 0.08 | 49% | 28 Jul → | ||
| 10–13 | -0.03 | 26% | 28 Jul → | ||
| 7–13 | 0.01 | 39% | 27 Jul → | ||
| 13–9 | 0.03 | 22% | 22 Jul → | ||
| 13–4 | 0.08 | 20% | 22 Jul → | ||
| 13–16 | -0.05 | 31% | 18 Jul → | ||
| 9–4 | 0.20 | 33% | 17 Jul → | ||
| 5–13 | -0.02 | 35% | 17 Jul → | ||
| 8–13 | 0.10 | 19% | 8 Jul → | ||
| 13–11 | 0.08 | 26% | 1 Jul → | ||
| 13–6 | 0.00 | 44% | 1 Jul → | ||
| 6–13 | -0.02 | 19% | 1 Jul → | ||
| 13–7 | 0.12 | 23% | 1 Jul → | ||
| 3–13 | 0.01 | 38% | 30 Jun → | ||
| 13–11 | 0.10 | 26% | 27 Jun → | ||
| 13–3 | 0.11 | 35% | 27 Jun → | ||
| 13–7 | 0.06 | 21% | 23 Jun → | ||
| 13–5 | 0.09 | 33% | 19 Jun → | ||
| 10–13 | 0.01 | 49% | 8 Jun → | ||
| 13–7 | 0.05 | 27% | 26 May → | ||
| grail | 13–3 | 0.04 | 36% | 12 May → | |
| 6–13 | -0.01 | 26% | 12 May → | ||
| 12–16 | -0.04 | 17% | 4 May → | ||
| 7–13 | -0.01 | 12% | 2 May → |
Match data via Leetify.