ŠkodaPeek Skorpion — CS2 Stats
CN76561198840393741[U:1:880128013]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 77.6% | 52.0% |
| Shot accuracy | 12.3% | 13.7% |
| Kill/death ratio | 0.71 | 1.08 |
| Match win rate | 38.1% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 device 94% playstyle similarity
Most alike: opening-fight frequency, 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.
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 564ms 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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 22 | 8–14 | 36% | -0.00 | |
| S | 20 | 13–7 | 65% | 0.01 | |
| D | 15 | 5–10 | 33% | 0.00 | |
| B | 15 | 8–7 | 53% | 0.03 | |
| A | 9 | 5–4 | 56% | -0.00 | |
| D | 8 | 2–6 | 25% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.07 | |
| — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 416 | 55% | 1.17 | 17.3 |
| Mirage | 393 | 48% | 1.03 | 16.0 |
| Dust2 | 304 | 50% | 1.11 | 16.0 |
| Anubis | 212 | 55% | 1.13 | 17.1 |
| Nuke | 177 | 52% | 1.10 | 16.4 |
| Inferno | 136 | 47% | 1.05 | 16.1 |
| Overpass | 53 | 47% | 1.02 | 16.8 |
| Train | 50 | 44% | 1.07 | 16.6 |
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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.02 | 17% | 16 Aug → | ||
| 11–13 | -0.06 | 19% | 16 Aug → | ||
| 6–13 | 0.04 | 25% | 15 Aug → | ||
| 3–9 | -0.04 | 21% | 15 Aug → | ||
| 9–3 | 0.14 | 28% | 15 Aug → | ||
| 13–10 | 0.10 | 14% | 10 Aug → | ||
| 13–8 | -0.01 | 20% | 10 Aug → | ||
| 7–13 | -0.04 | 29% | 10 Aug → | ||
| 2–13 | -0.00 | 17% | 29 Jul → | ||
| 0–9 | -0.23 | 17% | 29 Jul → | ||
| 1–9 | -0.17 | 27% | 29 Jul → | ||
| 11–13 | 0.02 | 17% | 29 Jul → | ||
| 0–7 | -0.12 | 0% | 29 Jul → | ||
| 13–6 | -0.01 | 17% | 27 Jul → | ||
| 7–13 | -0.01 | 25% | 27 Jul → | ||
| 12–12 | -0.01 | 31% | 27 Jul → | ||
| 9–3 | 0.18 | 31% | 27 Jul → | ||
| 0–9 | -0.19 | 25% | 26 Jul → | ||
| 9–4 | 0.11 | 26% | 26 Jul → | ||
| 8–13 | -0.03 | 29% | 26 Jul → | ||
| 6–9 | -0.06 | 26% | 26 Jul → | ||
| 9–5 | -0.03 | 36% | 26 Jul → | ||
| 7–13 | -0.03 | 23% | 26 Jul → | ||
| 3–13 | -0.05 | 22% | 26 Jul → | ||
| 12–12 | 0.00 | 18% | 7 Jul → | ||
| 0–4 | 0.04 | 17% | 7 Jul → | ||
| 13–7 | -0.02 | 20% | 28 Jun → | ||
| 13–10 | 0.01 | 25% | 28 Jun → | ||
| 11–13 | 0.05 | 16% | 27 Jun → | ||
| 13–10 | -0.02 | 9% | 26 Jun → | ||
| 3–13 | -0.06 | 22% | 25 Jun → | ||
| 13–3 | 0.03 | 23% | 25 Jun → | ||
| 3–1 | -0.09 | 20% | 25 Jun → | ||
| 13–5 | 0.06 | 15% | 25 Jun → | ||
| 6–13 | -0.02 | 24% | 21 Jun → | ||
| 13–5 | 0.12 | 20% | 14 Jun → | ||
| 12–12 | -0.03 | 22% | 8 Jun → | ||
| 12–16 | -0.03 | 32% | 3 Jun → | ||
| 13–6 | 0.01 | 22% | 16 May → | ||
| 10–13 | -0.06 | 23% | 20 Apr → | ||
| 13–6 | 0.07 | 23% | 19 Apr → | ||
| 13–8 | 0.04 | 32% | 18 Apr → | ||
| 13–8 | 0.01 | 16% | 14 Apr → | ||
| 8–13 | -0.02 | 13% | 11 Apr → | ||
| 13–6 | 0.06 | 38% | 8 Apr → | ||
| 10–13 | 0.05 | 22% | 4 Apr → | ||
| 10–13 | 0.00 | 12% | 4 Apr → | ||
| 6–13 | -0.01 | 26% | 3 Apr → | ||
| 13–6 | 0.02 | 20% | 2 Apr → | ||
| 13–1 | 0.11 | 24% | 2 Apr → | ||
| 12–12 | -0.02 | 26% | 2 Apr → | ||
| 7–13 | -0.00 | 18% | 2 Apr → | ||
| 5–9 | -0.08 | 21% | 2 Apr → | ||
| 13–9 | 0.02 | 30% | 31 Mar → | ||
| 13–4 | 0.02 | 38% | 29 Mar → | ||
| 7–13 | 0.02 | 19% | 28 Mar → | ||
| 8–13 | 0.01 | 33% | 28 Mar → | ||
| 9–13 | -0.02 | 24% | 26 Mar → | ||
| 11–13 | 0.11 | 28% | 26 Mar → | ||
| 12–12 | 0.02 | 30% | 26 Mar → | ||
| 3–13 | -0.03 | 12% | 24 Mar → | ||
| 13–9 | -0.01 | 21% | 23 Mar → | ||
| 13–5 | -0.04 | 27% | 23 Mar → | ||
| 13–10 | 0.13 | 18% | 23 Mar → | ||
| 13–2 | 0.02 | 22% | 23 Mar → | ||
| 10–13 | 0.07 | 18% | 23 Mar → | ||
| 13–4 | 0.03 | 19% | 23 Mar → | ||
| 12–12 | -0.04 | 21% | 23 Mar → | ||
| 13–2 | 0.05 | 18% | 23 Mar → | ||
| 13–4 | -0.02 | 16% | 22 Mar → | ||
| 13–6 | 0.05 | 11% | 22 Mar → | ||
| 13–5 | 0.05 | 21% | 21 Mar → | ||
| 13–5 | 0.05 | 33% | 21 Mar → | ||
| 7–13 | -0.01 | 18% | 21 Mar → | ||
| 13–2 | -0.02 | 22% | 20 Mar → | ||
| 13–8 | 0.08 | 24% | 20 Mar → | ||
| 13–4 | 0.16 | 26% | 20 Mar → | ||
| 10–13 | -0.07 | 23% | 20 Mar → | ||
| 5–13 | -0.07 | 52% | 19 Mar → | ||
| 13–5 | 0.05 | 31% | 19 Mar → | ||
| 13–6 | -0.02 | 18% | 18 Mar → | ||
| 13–4 | 0.04 | 31% | 18 Mar → | ||
| 7–13 | -0.03 | 23% | 18 Mar → | ||
| 4–13 | -0.02 | 20% | 16 Mar → | ||
| 13–5 | 0.07 | 25% | 16 Mar → | ||
| 13–6 | 0.06 | 30% | 16 Mar → | ||
| 6–13 | 0.02 | 28% | 15 Mar → | ||
| 10–13 | 0.04 | 24% | 15 Mar → | ||
| 12–12 | -0.01 | 14% | 15 Mar → | ||
| 13–8 | 0.11 | 20% | 15 Mar → | ||
| 13–6 | 0.04 | 31% | 6 Mar → | ||
| 11–13 | 0.03 | 16% | 1 Mar → | ||
| 13–5 | 0.10 | 35% | 1 Mar → | ||
| 7–13 | 0.04 | 19% | 28 Feb → | ||
| 5–13 | -0.09 | 23% | 28 Feb → | ||
| 11–13 | -0.02 | 15% | 28 Feb → | ||
| 13–10 | 0.01 | 18% | 27 Feb → | ||
| 8–13 | -0.01 | 12% | 26 Feb → | ||
| 2–13 | -0.03 | 8% | 26 Feb → | ||
| 11–13 | 0.01 | 16% | 26 Feb → |
Match data via Leetify.