Dederko — CS2 Stats
76561198253691948[U:1:293426220]✓ No bans
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 47.7% | 44.9% | 46.2% | above |
| Shot accuracy | 14.1% | 11.8% | 12.5% | above |
| Kill/death ratio | 0.91 | 1.04 | 1.06 | 0.15 short |
| Match win rate | 37.3% | 45.3% | 45.9% | 8.6% short |
This profile matches the typical Level 7 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 7 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: -30pp win rate · +0.00 avg rating
Player DNA
Primary style: Passive 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 NiKo 82% 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 33 points — deaths here waste a strong aim profile.
Reaction time. 575ms 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 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 34 | 18–16 | 53% | 0.02 | |
| B | 20 | 10–10 | 50% | 0.01 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| C | 9 | 4–5 | 44% | -0.01 | |
| S | 8 | 6–2 | 75% | 0.02 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| office | — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (44% over 9). 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 123 | 50% | 1.20 | 16.0 |
| Anubis | 51 | 49% | 1.15 | 17.0 |
| Inferno | 39 | 62% | 1.28 | 16.4 |
| Ancient | 39 | 49% | 1.23 | 17.1 |
| Vertigo | 27 | 52% | 1.15 | 17.1 |
| Dust2 | 25 | 52% | 1.45 | 20.2 |
| Nuke | 11 | 27% | 1.33 | 20.2 |
| Train | 4 | 50% | 1.07 | 14.5 |
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 24.8992% — 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.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.03 | 14% | 1 Aug → | ||
| 10–13 | 0.03 | 29% | 26 Jul → | ||
| 13–8 | -0.01 | 12% | 26 Jul → | ||
| 13–5 | 0.04 | 15% | 7 Jul → | ||
| 14–16 | -0.04 | 11% | 4 Jul → | ||
| 4–13 | -0.04 | 23% | 3 Jul → | ||
| 0–13 | 0.00 | 24% | 30 Jun → | ||
| 5–13 | -0.02 | 17% | 26 Jun → | ||
| 6–13 | -0.02 | 15% | 21 Jun → | ||
| 2–13 | -0.05 | 14% | 21 Jun → | ||
| 9–13 | 0.01 | 18% | 14 Jun → | ||
| 15–15 | -0.05 | 12% | 14 Jun → | ||
| 7–13 | -0.03 | 13% | 8 Jun → | ||
| 13–7 | -0.00 | 17% | 5 Jun → | ||
| 13–5 | -0.09 | 4% | 4 Jun → | ||
| 13–6 | 0.03 | 16% | 1 Jun → | ||
| 8–3 | -0.04 | 25% | 31 May → | ||
| 11–0 | 0.08 | 13% | 31 May → | ||
| 5–13 | -0.04 | 13% | 31 May → | ||
| 7–13 | -0.04 | 14% | 30 May → | ||
| 13–10 | -0.05 | 20% | 27 May → | ||
| 5–11 | -0.04 | 17% | 25 May → | ||
| 3–13 | 0.01 | 37% | 25 May → | ||
| 5–13 | -0.01 | 12% | 22 May → | ||
| 9–13 | -0.03 | 7% | 20 May → | ||
| 7–13 | -0.08 | 19% | 18 May → | ||
| 13–10 | -0.02 | 11% | 18 May → | ||
| 13–2 | 0.02 | 8% | 18 May → | ||
| 13–10 | 0.20 | 16% | 17 May → | ||
| 13–8 | 0.01 | 25% | 17 May → | ||
| 16–12 | 0.03 | 10% | 17 May → | ||
| 10–13 | 0.01 | 19% | 15 May → | ||
| 12–16 | -0.03 | 14% | 14 May → | ||
| 13–8 | -0.03 | 17% | 12 May → | ||
| 13–1 | 0.05 | 10% | 12 May → | ||
| 13–8 | 0.03 | 7% | 8 May → | ||
| 3–13 | -0.05 | 12% | 5 May → | ||
| 9–13 | 0.04 | 17% | 3 May → | ||
| 13–9 | 0.02 | 44% | 26 Apr → | ||
| 11–13 | 0.14 | 9% | 25 Apr → | ||
| 4–13 | 0.02 | 14% | 25 Apr → | ||
| 11–13 | 0.02 | 16% | 23 Apr → | ||
| 6–13 | -0.00 | 16% | 19 Apr → | ||
| 13–11 | -0.02 | 16% | 18 Apr → | ||
| 16–14 | 0.04 | 19% | 17 Apr → | ||
| 11–13 | -0.04 | 17% | 13 Apr → | ||
| 10–13 | -0.05 | 17% | 13 Apr → | ||
| 16–12 | 0.01 | 31% | 11 Apr → | ||
| 13–4 | 0.05 | 18% | 11 Apr → | ||
| 13–5 | 0.14 | 20% | 11 Apr → | ||
| office | 8–13 | 0.07 | 25% | 11 Apr → | |
| 1–13 | -0.05 | 12% | 10 Apr → | ||
| 3–13 | 0.02 | 20% | 10 Apr → | ||
| 13–9 | -0.01 | 13% | 6 Apr → | ||
| 13–8 | 0.02 | 16% | 6 Apr → | ||
| 2–9 | -0.07 | 5% | 6 Apr → | ||
| 13–6 | -0.02 | 6% | 5 Apr → | ||
| 13–7 | 0.11 | 24% | 5 Apr → | ||
| 13–4 | 0.16 | 16% | 4 Apr → | ||
| 13–8 | 0.06 | 25% | 4 Apr → | ||
| 8–13 | -0.02 | 22% | 4 Apr → | ||
| 10–13 | -0.03 | 33% | 4 Apr → | ||
| 8–13 | -0.01 | 33% | 4 Apr → | ||
| 13–7 | 0.13 | 19% | 3 Apr → | ||
| 16–14 | 0.01 | 27% | 3 Apr → | ||
| 16–14 | 0.03 | 14% | 2 Apr → | ||
| 16–14 | -0.02 | 23% | 2 Apr → | ||
| 11–13 | 0.00 | 18% | 1 Apr → | ||
| 13–5 | 0.01 | 10% | 30 Mar → | ||
| 15–15 | 0.00 | 9% | 30 Mar → | ||
| 7–13 | -0.06 | 23% | 29 Mar → | ||
| 8–13 | -0.06 | 16% | 29 Mar → | ||
| 15–15 | -0.03 | 19% | 29 Mar → | ||
| 13–10 | -0.02 | 14% | 28 Mar → | ||
| 16–14 | -0.04 | 27% | 28 Mar → | ||
| 2–13 | -0.07 | 32% | 27 Mar → | ||
| 13–10 | 0.13 | 24% | 27 Mar → | ||
| 0–13 | -0.09 | 14% | 27 Mar → | ||
| 13–6 | 0.11 | 21% | 25 Mar → | ||
| 13–10 | 0.01 | 16% | 25 Mar → | ||
| 16–12 | -0.03 | 14% | 24 Mar → | ||
| 15–15 | 0.02 | 10% | 24 Mar → | ||
| 13–7 | -0.00 | 5% | 23 Mar → | ||
| 13–6 | 0.04 | 20% | 23 Mar → | ||
| 13–7 | 0.03 | 16% | 22 Mar → | ||
| 13–9 | -0.04 | 15% | 22 Mar → | ||
| 13–9 | 0.03 | 21% | 21 Mar → | ||
| 16–12 | 0.12 | 21% | 21 Mar → | ||
| 4–13 | 0.07 | 16% | 21 Mar → | ||
| 16–13 | 0.13 | 19% | 21 Mar → | ||
| 15–15 | 0.08 | 21% | 20 Mar → | ||
| 11–13 | 0.08 | 29% | 20 Mar → | ||
| 16–14 | 0.10 | 23% | 15 Mar → | ||
| 13–6 | 0.11 | 27% | 14 Mar → | ||
| 13–8 | 0.04 | 16% | 12 Mar → | ||
| 10–13 | -0.01 | 15% | 8 Mar → | ||
| 13–10 | 0.07 | 29% | 8 Mar → | ||
| 13–11 | 0.08 | 15% | 7 Mar → | ||
| 2–13 | -0.02 | 21% | 7 Mar → | ||
| 13–10 | 0.12 | 11% | 7 Mar → |
Match data via Leetify.