Klaus Petersen Hansen Rasmusen — CS2 Stats
DK76561198944588350[U:1:984322622]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 90% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; lower aim profile.
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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 20 | 8–12 | 40% | 0.00 | |
| S | 16 | 11–5 | 69% | 0.00 | |
| D | 15 | 5–10 | 33% | -0.01 | |
| C | 14 | 6–8 | 43% | 0.02 | |
| D | 11 | 1–10 | 9% | 0.00 | |
| C | 7 | 3–4 | 43% | 0.06 | |
| — | 4 | 0–4 | 0% | 0.05 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| office | — | 3 | 1–2 | 33% | -0.00 |
| — | 2 | 0–2 | 0% | -0.14 | |
| alpine | — | 1 | 0–1 | 0% | 0.11 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Inferno 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 57 | 61% | 1.19 | 16.3 |
| Anubis | 43 | 58% | 1.20 | 17.0 |
| Mirage | 43 | 42% | 1.19 | 17.5 |
| Inferno | 25 | 72% | 1.55 | 17.9 |
| Vertigo | 21 | 48% | 1.39 | 16.9 |
| Nuke | 20 | 60% | 1.19 | 17.4 |
| Dust2 | 14 | 43% | 1.12 | 17.0 |
| Overpass | 11 | 73% | 1.46 | 18.4 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4692 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.00 | 11% | 14 Aug → | ||
| 13–6 | -0.03 | 22% | 10 Aug → | ||
| 13–7 | 0.02 | 16% | 2 Aug → | ||
| 3–9 | -0.15 | 35% | 1 Aug → | ||
| 13–7 | 0.03 | 19% | 24 Jul → | ||
| 3–13 | 0.02 | 17% | 24 Jul → | ||
| 13–9 | 0.02 | 14% | 20 Jul → | ||
| 3–13 | -0.15 | 0% | 13 Jul → | ||
| 12–12 | 0.04 | 12% | 6 Jul → | ||
| 13–2 | 0.05 | 26% | 6 Jul → | ||
| office | 2–13 | -0.01 | 12% | 6 Jul → | |
| office | 6–13 | -0.03 | 12% | 4 Jul → | |
| alpine | 12–12 | 0.11 | 17% | 2 Jul → | |
| 13–10 | 0.09 | 20% | 2 Jul → | ||
| office | 13–10 | 0.02 | 15% | 29 Jun → | |
| 10–13 | -0.00 | 6% | 29 Jun → | ||
| 0–9 | -0.26 | 20% | 29 Jun → | ||
| 4–9 | -0.01 | 23% | 29 Jun → | ||
| 8–13 | -0.06 | 15% | 24 Jun → | ||
| 13–8 | 0.01 | 24% | 23 Jun → | ||
| 9–13 | -0.00 | 32% | 23 Jun → | ||
| 7–13 | -0.04 | 29% | 22 Jun → | ||
| 13–7 | -0.04 | 22% | 19 Jun → | ||
| 11–13 | 0.04 | 23% | 16 Jun → | ||
| 7–13 | -0.03 | 28% | 4 Jun → | ||
| 3–13 | 0.03 | 21% | 1 Jun → | ||
| 13–1 | 0.12 | 21% | 29 May → | ||
| 8–13 | 0.03 | 30% | 26 May → | ||
| 5–13 | 0.09 | 20% | 20 May → | ||
| 6–13 | -0.02 | 32% | 20 May → | ||
| 12–12 | 0.09 | 24% | 20 May → | ||
| 13–5 | 0.05 | 20% | 14 May → | ||
| 13–11 | 0.06 | 22% | 14 May → | ||
| 9–13 | 0.10 | 33% | 11 May → | ||
| 13–9 | 0.00 | 18% | 10 May → | ||
| 7–13 | -0.03 | 32% | 7 Apr → | ||
| 6–13 | -0.07 | 26% | 12 Mar → | ||
| 2–13 | -0.03 | 21% | 26 Feb → | ||
| 4–13 | -0.04 | 16% | 17 Feb → | ||
| 7–13 | -0.03 | 12% | 17 Feb → | ||
| 13–7 | -0.01 | 30% | 3 Feb → | ||
| 4–9 | -0.13 | 16% | 7 Jan → | ||
| 9–13 | 0.03 | 28% | 4 Nov → | ||
| 13–7 | 0.01 | 22% | 7 Oct → | ||
| 13–11 | 0.10 | 19% | 5 Oct → | ||
| 13–4 | -0.07 | 26% | 3 Oct → | ||
| 13–6 | 0.07 | 17% | 1 Oct → | ||
| 13–8 | 0.08 | 13% | 1 Oct → | ||
| 10–13 | 0.08 | 24% | 1 Oct → | ||
| 8–13 | 0.04 | 28% | 1 Oct → | ||
| 4–13 | -0.03 | 11% | 1 Oct → | ||
| 13–11 | 0.03 | 16% | 1 Oct → | ||
| 5–13 | -0.04 | 17% | 29 Sept → | ||
| 4–13 | -0.05 | 9% | 29 Sept → | ||
| 9–13 | 0.05 | 17% | 28 Sept → | ||
| 13–9 | 0.13 | 24% | 27 Sept → | ||
| 9–13 | 0.01 | 15% | 27 Sept → | ||
| 11–13 | -0.07 | 12% | 27 Sept → | ||
| 5–13 | -0.01 | 17% | 25 Sept → | ||
| 11–13 | 0.10 | 24% | 25 Sept → | ||
| 7–13 | -0.04 | 20% | 24 Sept → | ||
| 4–13 | -0.06 | 14% | 18 Sept → | ||
| 13–11 | -0.01 | 18% | 18 Sept → | ||
| 16–13 | 0.03 | 16% | 17 Sept → | ||
| 13–10 | 0.03 | 19% | 16 Sept → | ||
| 13–9 | -0.01 | 17% | 15 Sept → | ||
| 8–13 | 0.04 | 14% | 15 Sept → | ||
| 13–10 | 0.01 | 15% | 14 Sept → | ||
| 12–1 | 0.14 | 14% | 14 Sept → | ||
| 13–9 | 0.04 | 23% | 14 Sept → | ||
| 9–13 | -0.03 | 26% | 11 Sept → | ||
| 9–13 | 0.01 | 16% | 10 Sept → | ||
| 13–11 | 0.05 | 14% | 10 Sept → | ||
| 13–7 | 0.01 | 11% | 10 Sept → | ||
| 7–13 | -0.06 | 13% | 9 Sept → | ||
| 11–13 | 0.04 | 19% | 8 Sept → | ||
| 11–13 | 0.05 | 22% | 7 Sept → | ||
| 8–13 | -0.00 | 12% | 7 Sept → | ||
| 2–5 | -0.07 | 0% | 5 Sept → | ||
| 8–13 | -0.01 | 19% | 5 Sept → | ||
| 13–8 | 0.05 | 19% | 5 Sept → | ||
| 15–15 | 0.03 | 22% | 5 Sept → | ||
| 13–7 | -0.01 | 19% | 5 Sept → | ||
| 13–8 | -0.01 | 6% | 4 Sept → | ||
| 10–13 | 0.05 | 16% | 4 Sept → | ||
| 5–13 | 0.04 | 19% | 3 Sept → | ||
| 13–2 | 0.09 | 14% | 2 Sept → | ||
| 15–15 | 0.06 | 19% | 2 Sept → | ||
| 13–7 | 0.04 | 21% | 2 Sept → | ||
| 8–13 | 0.14 | 13% | 2 Sept → | ||
| 3–13 | 0.01 | 10% | 2 Sept → | ||
| 4–13 | 0.03 | 14% | 1 Sept → | ||
| 8–13 | 0.02 | 28% | 1 Sept → | ||
| 11–13 | 0.05 | 10% | 1 Sept → | ||
| 13–6 | -0.02 | 20% | 1 Sept → | ||
| 12–16 | -0.03 | 11% | 31 Aug → | ||
| 12–16 | -0.07 | 15% | 30 Aug → | ||
| 8–0 | -0.05 | 29% | 30 Aug → | ||
| 13–10 | 0.02 | 14% | 29 Aug → | ||
| 13–9 | -0.03 | 16% | 29 Aug → |
Match data via Leetify.