EdemaSamet — CS2 Stats
76561199436763063[U:1:1476497335]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 55.1% | 51.9% |
| Shot accuracy | 0.7% | 13.7% |
| Kill/death ratio | 0.99 | 1.08 |
| Match win rate | 54.7% | 48.7% |
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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 aimerStrong CT-side openerEffective flashes
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 iM 96% playstyle similarity
Most alike: opening-duel success, utility contribution.
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 85 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 58% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.
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 7.4/10 (Strong), 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 82 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 |
|---|---|---|---|---|---|
| S | 28 | 20–8 | 71% | 0.03 | |
| S | 17 | 12–5 | 71% | -0.01 | |
| S | 15 | 10–5 | 67% | 0.01 | |
| D | 13 | 4–9 | 31% | 0.01 | |
| S | 6 | 5–1 | 83% | -0.01 | |
| — | 1 | 0–1 | 0% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.01 | |
| — | 1 | 0–1 | 0% | 0.05 |
Across the last 82 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Mirage 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 223 | 56% | 1.09 | 17.7 |
| Mirage | 189 | 48% | 1.07 | 18.0 |
| Inferno | 89 | 54% | 1.09 | 16.7 |
| Anubis | 66 | 53% | 0.98 | 16.9 |
| Cache | 26 | 73% | 1.10 | 18.2 |
| Ancient | 19 | 53% | 1.20 | 19.9 |
| Train | 18 | 56% | 1.06 | 17.2 |
| Overpass | 16 | 62% | 1.33 | 19.4 |
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.
- 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 39.8573% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 17–19 | 0.03 | 20% | 30 Aug → | ||
| 13–10 | -0.00 | 16% | 28 Aug → | ||
| 22–19 | 0.01 | 25% | 28 Aug → | ||
| 11–13 | -0.04 | 22% | 27 Aug → | ||
| 13–10 | 0.04 | 28% | 25 Aug → | ||
| 14–16 | 0.01 | 23% | 24 Aug → | ||
| 13–5 | 0.01 | 20% | 24 Aug → | ||
| 7–13 | 0.04 | 27% | 24 Aug → | ||
| 13–4 | 0.12 | 31% | 24 Aug → | ||
| 13–7 | 0.06 | 21% | 23 Aug → | ||
| 15–19 | -0.02 | 11% | 23 Aug → | ||
| 16–14 | 0.03 | 22% | 22 Aug → | ||
| 13–7 | -0.06 | 24% | 20 Aug → | ||
| 13–10 | 0.06 | 22% | 20 Aug → | ||
| 16–14 | 0.00 | 15% | 16 Aug → | ||
| 25–28 | 0.04 | 21% | 16 Aug → | ||
| 13–10 | 0.05 | 24% | 14 Aug → | ||
| 13–3 | -0.01 | 29% | 13 Aug → | ||
| 10–13 | -0.02 | 20% | 13 Aug → | ||
| 13–4 | 0.11 | 26% | 10 Aug → | ||
| 19–16 | 0.05 | 25% | 10 Aug → | ||
| 13–8 | 0.03 | 46% | 10 Aug → | ||
| 13–3 | 0.04 | 17% | 10 Aug → | ||
| 13–8 | 0.06 | 33% | 10 Aug → | ||
| 20–22 | -0.01 | 20% | 9 Aug → | ||
| 13–7 | -0.04 | 23% | 8 Aug → | ||
| 11–13 | -0.02 | 21% | 8 Aug → | ||
| 13–11 | 0.05 | 12% | 8 Aug → | ||
| 16–14 | 0.01 | 27% | 7 Aug → | ||
| 28–24 | -0.03 | 18% | 7 Aug → | ||
| 13–11 | 0.09 | 26% | 7 Aug → | ||
| 13–7 | -0.00 | 13% | 7 Aug → | ||
| 13–8 | 0.04 | 22% | 7 Aug → | ||
| 13–9 | 0.04 | 30% | 7 Aug → | ||
| 16–19 | 0.03 | 20% | 6 Aug → | ||
| 13–10 | -0.01 | 19% | 6 Aug → | ||
| 13–9 | 0.04 | 26% | 5 Aug → | ||
| 13–10 | -0.03 | 33% | 2 Aug → | ||
| 13–6 | -0.02 | 34% | 1 Aug → | ||
| 13–5 | 0.07 | 30% | 31 Jul → | ||
| 16–12 | 0.01 | 36% | 28 Jul → | ||
| 11–13 | -0.06 | 24% | 21 Jul → | ||
| 13–10 | 0.02 | 25% | 17 Jul → | ||
| 13–11 | -0.08 | 22% | 16 Jul → | ||
| 25–23 | 0.01 | 14% | 13 Jul → | ||
| 13–6 | -0.02 | 26% | 13 Jul → | ||
| 3–13 | -0.10 | 19% | 4 Jul → | ||
| 8–13 | -0.06 | 18% | 4 Jul → | ||
| 9–13 | -0.05 | 17% | 3 Jul → | ||
| 13–5 | 0.03 | 21% | 2 Jul → | ||
| 13–11 | 0.00 | 30% | 29 Jun → | ||
| 13–9 | 0.03 | 49% | 19 Jun → | ||
| 19–22 | -0.02 | 26% | 17 Jun → | ||
| 9–13 | -0.05 | 8% | 23 Mar → | ||
| 10–13 | -0.01 | 42% | 23 Mar → | ||
| 6–13 | 0.00 | 50% | 17 Jan → | ||
| 13–7 | 0.02 | 25% | 14 Dec → | ||
| 10–13 | -0.01 | 32% | 9 Dec → | ||
| 11–13 | -0.02 | 22% | 9 Dec → | ||
| 11–13 | -0.01 | 16% | 3 Dec → | ||
| 10–13 | -0.00 | 23% | 30 Nov → | ||
| 4–13 | -0.06 | 24% | 28 Nov → | ||
| 13–1 | 0.13 | 44% | 26 Nov → | ||
| 8–13 | -0.00 | 42% | 24 Nov → | ||
| 13–11 | -0.04 | 15% | 21 Nov → | ||
| 13–5 | 0.07 | 27% | 29 Oct → | ||
| 13–9 | 0.08 | 33% | 20 Oct → | ||
| 13–7 | -0.01 | 19% | 19 Oct → | ||
| 10–13 | 0.09 | 25% | 17 Oct → | ||
| 9–13 | 0.02 | 20% | 13 Oct → | ||
| 13–8 | 0.03 | 54% | 9 Oct → | ||
| 10–13 | 0.05 | 34% | 4 Oct → | ||
| 13–11 | 0.02 | 35% | 26 Sept → | ||
| 13–11 | 0.04 | 33% | 23 Sept → | ||
| 13–10 | -0.03 | 24% | 20 Sept → | ||
| 10–13 | -0.01 | 15% | 27 Aug → | ||
| 16–6 | 0.01 | 13% | 9 Jun → | ||
| 10–16 | -0.06 | 26% | 6 Jun → | ||
| 9–16 | -0.06 | 20% | 4 Feb → | ||
| 16–19 | -0.04 | 27% | 2 Feb → | ||
| 16–11 | 0.04 | 19% | 2 Jan → | ||
| 16–14 | -0.04 | 45% | 4 Dec → |
Match data via Leetify.
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