samek — CS2 Stats
76561198858813488[U:1:898547760]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 47.5% | 52.8% | 5.3% short |
| Shot accuracy | 12.2% | 13.7% | 1.5% short |
| Kill/death ratio | 0.69 | 1.08 | 0.39 short |
| Match win rate | 48.2% | 49.2% | 1.0% short |
This profile sits below the typical Level 10 player on every metric we can compare.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.
Reaction time. 633ms 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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| B | 24 | 13–11 | 54% | -0.00 | |
| A | 22 | 12–10 | 55% | -0.00 | |
| A | 18 | 11–7 | 61% | 0.02 | |
| B | 10 | 5–5 | 50% | -0.04 | |
| D | 10 | 2–8 | 20% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| — | 4 | 3–1 | 75% | -0.01 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 505 | 50% | 0.93 | 14.0 |
| Inferno | 223 | 49% | 0.92 | 13.8 |
| Ancient | 212 | 54% | 0.94 | 14.4 |
| Dust2 | 166 | 49% | 0.93 | 14.8 |
| Nuke | 162 | 50% | 0.97 | 14.7 |
| Anubis | 130 | 48% | 0.94 | 14.3 |
| Vertigo | 60 | 45% | 0.98 | 15.6 |
| Overpass | 59 | 53% | 0.92 | 14.8 |
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.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 28.6067% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.02 | 33% | 26 Aug → | ||
| 13–3 | 0.02 | 16% | 22 Aug → | ||
| 13–9 | 0.05 | 27% | 18 Aug → | ||
| 11–13 | -0.03 | 21% | 17 Aug → | ||
| 6–13 | -0.08 | 15% | 15 Aug → | ||
| 17–19 | -0.01 | 26% | 14 Aug → | ||
| 10–13 | -0.04 | 23% | 13 Aug → | ||
| 13–7 | 0.09 | 19% | 13 Aug → | ||
| 13–4 | 0.04 | 28% | 12 Aug → | ||
| 11–13 | -0.05 | 17% | 5 Aug → | ||
| 13–1 | 0.06 | 25% | 4 Aug → | ||
| 8–13 | -0.04 | 33% | 29 Jul → | ||
| 13–9 | -0.01 | 14% | 26 Jul → | ||
| 5–13 | -0.07 | 27% | 15 Jul → | ||
| 13–8 | 0.06 | 31% | 9 Jul → | ||
| 4–13 | -0.05 | 25% | 4 Jul → | ||
| 13–8 | 0.03 | 20% | 1 Jul → | ||
| 6–0 | 0.00 | 0% | 25 Jun → | ||
| 8–13 | -0.01 | 32% | 19 Jun → | ||
| 13–16 | -0.01 | 16% | 9 Jun → | ||
| 13–8 | 0.07 | 25% | 3 Jun → | ||
| 13–7 | -0.01 | 18% | 26 May → | ||
| 13–2 | 0.05 | 22% | 26 May → | ||
| 13–10 | 0.06 | 43% | 24 May → | ||
| 13–5 | 0.01 | 23% | 24 May → | ||
| 13–6 | 0.04 | 17% | 23 May → | ||
| 13–4 | 0.00 | 38% | 11 May → | ||
| 8–13 | -0.01 | 37% | 9 May → | ||
| 13–11 | -0.02 | 24% | 1 May → | ||
| 13–9 | 0.01 | 23% | 29 Apr → | ||
| 10–13 | -0.04 | 14% | 23 Apr → | ||
| 10–13 | -0.02 | 22% | 23 Apr → | ||
| 22–18 | -0.01 | 22% | 13 Apr → | ||
| 6–13 | -0.04 | 14% | 8 Apr → | ||
| 13–11 | 0.02 | 28% | 1 Apr → | ||
| 13–6 | -0.03 | 14% | 22 Mar → | ||
| 10–13 | 0.02 | 10% | 13 Mar → | ||
| 13–10 | 0.00 | 31% | 13 Mar → | ||
| 11–5 | 0.06 | 32% | 13 Mar → | ||
| 8–13 | -0.02 | 26% | 9 Mar → | ||
| 4–13 | -0.02 | 29% | 27 Feb → | ||
| 3–13 | -0.09 | 29% | 25 Feb → | ||
| 13–8 | 0.01 | 21% | 19 Feb → | ||
| 11–13 | -0.01 | 32% | 19 Feb → | ||
| 13–11 | 0.01 | 33% | 16 Feb → | ||
| 13–2 | -0.00 | 20% | 16 Feb → | ||
| 15–15 | -0.00 | 39% | 13 Feb → | ||
| 10–13 | 0.02 | 27% | 12 Feb → | ||
| 14–16 | -0.05 | 15% | 6 Feb → | ||
| 13–6 | 0.09 | 27% | 6 Feb → | ||
| 1–6 | 0.02 | 27% | 6 Feb → | ||
| 13–8 | 0.03 | 37% | 4 Feb → | ||
| 13–4 | 0.08 | 35% | 2 Feb → | ||
| 6–13 | -0.04 | 41% | 1 Feb → | ||
| 13–11 | -0.01 | 27% | 21 Jan → | ||
| 7–13 | -0.05 | 26% | 15 Jan → | ||
| 5–13 | -0.02 | 15% | 15 Jan → | ||
| 13–7 | -0.05 | 25% | 15 Jan → | ||
| 13–10 | 0.05 | 21% | 14 Jan → | ||
| 8–13 | -0.01 | 23% | 14 Jan → | ||
| 7–1 | -0.06 | 8% | 13 Jan → | ||
| 13–8 | 0.07 | 36% | 7 Jan → | ||
| 9–13 | -0.02 | 30% | 7 Jan → | ||
| 13–7 | -0.01 | 26% | 4 Jan → | ||
| 13–2 | -0.09 | 20% | 4 Jan → | ||
| 13–8 | -0.01 | 15% | 4 Jan → | ||
| 9–13 | -0.06 | 22% | 4 Jan → | ||
| 13–16 | -0.02 | 23% | 2 Jan → | ||
| 16–13 | 0.00 | 35% | 27 Dec → | ||
| 13–6 | 0.01 | 20% | 27 Dec → | ||
| 13–3 | 0.00 | 31% | 27 Dec → | ||
| 13–1 | 0.01 | 37% | 21 Dec → | ||
| 11–13 | 0.01 | 37% | 18 Dec → | ||
| 9–7 | -0.05 | 50% | 17 Dec → | ||
| 11–13 | -0.01 | 16% | 19 Nov → | ||
| 11–13 | -0.04 | 23% | 18 Nov → | ||
| 5–13 | -0.07 | 20% | 6 Nov → | ||
| 11–13 | 0.01 | 16% | 6 Nov → | ||
| 7–13 | -0.05 | 42% | 1 Nov → | ||
| 3–13 | -0.05 | 14% | 21 Oct → | ||
| 13–5 | 0.05 | 25% | 17 Sept → | ||
| 12–16 | -0.01 | 15% | 9 Sept → | ||
| 13–9 | -0.04 | 16% | 5 Sept → | ||
| 13–8 | -0.00 | 30% | 26 Aug → | ||
| 8–13 | -0.06 | 26% | 18 Aug → | ||
| 13–10 | -0.05 | 14% | 18 Aug → | ||
| 13–8 | 0.04 | 26% | 15 Aug → | ||
| 32–34 | -0.05 | 12% | 11 Aug → | ||
| 10–13 | -0.02 | 20% | 10 Aug → | ||
| 13–8 | -0.01 | 16% | 6 Aug → | ||
| 10–12 | -0.02 | 14% | 6 Aug → | ||
| 13–16 | 0.09 | 23% | 6 Aug → | ||
| 13–9 | -0.02 | 9% | 5 Aug → | ||
| 16–12 | -0.02 | 29% | 4 Aug → | ||
| 2–13 | -0.08 | 10% | 30 Jul → | ||
| 13–8 | -0.01 | 25% | 29 Jul → | ||
| 6–13 | -0.04 | 9% | 17 Jul → | ||
| 13–4 | 0.09 | 13% | 14 Jul → | ||
| 10–13 | 0.00 | 23% | 13 Jul → | ||
| 6–13 | -0.05 | 18% | 24 Jun → |
Match data via Leetify.