ZEDKO — CS2 Stats
PRO“разъярённый медведь”Free AgentCzechiaRiflerSettings & gear profile →
CZ76561198134164683[U:1:173898955]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 22 May 2025. Come back after the next session and the change shows above.
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Rating over time
Faceit ELO
- At peak — 3,105
- Next: 3,500 ELO at 3,500 — 395 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Compare periods
Last 7 days vs previous 7
| Metric | Last 7 | Previous 7 | Change |
|---|---|---|---|
| Matches | 10 | 13 | −3 |
| Win rate | 70% | 54% | +16pp |
| K/D | 0.83 | 0.99 | −0.16 |
| Headshot % | 62% | 66% | −3pp |
Measured 11 Sep 2026 → 17 Sep 2026; previous 3 Sep 2026 → 11 Sep 2026.
Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.
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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 · +3.9pp headshot accuracy · −5ms reaction
Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.
Last 5 · 10 · 20 matches
Last 5
- 2–3 · 40% win rate
- Avg rating -0.01
- Avg headshot accuracy 26%
- Avg reaction 445ms
Last 10
- 5–5 · 50% win rate
- Avg rating -0.00
- Avg headshot accuracy 28%
- Avg reaction 449ms
Last 20
- 9–11 · 45% win rate
- Avg rating -0.00
- Avg headshot accuracy 26%
- Avg reaction 451ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: All-Rounder — No style dimension stands clear of the others in this profile.
Sharp aimer
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like NiKo 93% playstyle similarity
Most alike: aim profile, 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 95 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 35 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.
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 6.8/10 (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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | S | 21 | 14–7 | 67% | 0.00 |
 mirage | B | 19 | 10–9 | 53% | 0.01 |
 anubis | D | 18 | 6–12 | 33% | -0.01 |
 nuke | B | 15 | 7–8 | 47% | -0.01 |
 inferno | S | 12 | 11–1 | 92% | 0.05 |
 cache | C | 9 | 4–5 | 44% | -0.02 |
 train | — | 4 | 3–1 | 75% | -0.00 |
 ancient | — | 2 | 0–2 | 0% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Anubis 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 114 | 66% | 1.56 | 19.1 |
| Ancient | 78 | 76% | 1.55 | 19.6 |
| Anubis | 54 | 63% | 1.54 | 19.0 |
| Inferno | 43 | 53% | 1.36 | 18.3 |
| Dust2 | 37 | 62% | 1.50 | 18.0 |
| Nuke | 23 | 61% | 1.56 | 18.0 |
| Overpass | 18 | 83% | 1.49 | 18.4 |
| Cache | 10 | 40% | 1.02 | 16.0 |
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 0.4715 — below the 0.5 mark we flag
- 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 37.6797% — 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.
33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–11 | 0.00 | 20% | 15 Sept → | |
| mirage | 13–5 | 0.05 | 29% | 15 Sept → | |
| ancient | 6–13 | -0.05 | 24% | 15 Sept → | |
| dust2 | 11–13 | 0.00 | 35% | 4 Sept → | |
| anubis | 4–13 | -0.05 | 24% | 4 Sept → | |
| dust2 | 25–22 | -0.03 | 22% | 4 Sept → | |
| anubis | 13–11 | 0.01 | 35% | 4 Sept → | |
| cache | 13–10 | 0.06 | 29% | 4 Sept → | |
| dust2 | 11–13 | 0.01 | 38% | 1 Sept → | |
| nuke | 10–13 | -0.02 | 24% | 1 Sept → | |
| anubis | 13–8 | 0.04 | 17% | 1 Sept → | |
| anubis | 10–13 | -0.01 | 20% | 10 Aug → | |
| anubis | 8–13 | 0.02 | 36% | 10 Aug → | |
| cache | 7–13 | -0.02 | 33% | 8 Aug → | |
| anubis | 9–13 | -0.03 | 29% | 8 Aug → | |
| anubis | 13–8 | 0.03 | 35% | 8 Aug → | |
| dust2 | 13–4 | 0.01 | 21% | 8 Aug → | |
| mirage | 13–4 | -0.07 | 15% | 7 Aug → | |
| anubis | 6–13 | -0.00 | 13% | 7 Aug → | |
| dust2 | 5–13 | -0.03 | 24% | 7 Aug → | |
| inferno | 10–13 | 0.06 | 28% | 5 Aug → | |
| nuke | 3–13 | -0.07 | 38% | 2 Aug → | |
| mirage | 3–13 | -0.01 | 26% | 2 Aug → | |
| nuke | 3–13 | -0.07 | 38% | 2 Aug → | |
| mirage | 3–13 | -0.01 | 26% | 2 Aug → | |
| mirage | 13–5 | 0.01 | 20% | 2 Aug → | |
| dust2 | 5–13 | -0.07 | 31% | 2 Aug → | |
| anubis | 8–13 | 0.00 | 26% | 2 Aug → | |
| anubis | 8–13 | 0.00 | 26% | 2 Aug → | |
| mirage | 13–5 | 0.01 | 20% | 2 Aug → | |
| dust2 | 5–13 | -0.07 | 31% | 2 Aug → | |
| cache | 13–9 | -0.04 | 27% | 2 Aug → | |
| dust2 | 13–10 | 0.01 | 17% | 2 Aug → | |
| cache | 13–9 | -0.04 | 27% | 2 Aug → | |
| dust2 | 13–10 | 0.01 | 17% | 2 Aug → | |
| nuke | 10–13 | 0.02 | 31% | 28 Jul → | |
| dust2 | 13–7 | 0.02 | 37% | 28 Jul → | |
| anubis | 13–7 | 0.01 | 18% | 28 Jul → | |
| dust2 | 13–9 | -0.03 | 23% | 28 Jul → | |
| nuke | 13–10 | -0.02 | 19% | 28 Jul → | |
| nuke | 13–11 | 0.04 | 25% | 27 Jul → | |
| mirage | 13–4 | -0.01 | 33% | 27 Jul → | |
| dust2 | 13–5 | 0.04 | 34% | 27 Jul → | |
| inferno | 9–3 | 0.21 | 33% | 23 Jul → | |
| cache | 1–13 | -0.06 | 23% | 14 Jul → | |
| dust2 | 5–13 | -0.02 | 20% | 14 Jul → | |
| anubis | 11–13 | -0.06 | 24% | 14 Jul → | |
| dust2 | 13–5 | 0.00 | 23% | 14 Jul → | |
| cache | 9–13 | -0.09 | 16% | 14 Jul → | |
| dust2 | 13–9 | 0.06 | 28% | 13 Jul → | |
| inferno | 13–9 | 0.02 | 27% | 13 Jul → | |
| dust2 | 13–11 | 0.01 | 36% | 13 Jul → | |
| nuke | 13–9 | 0.03 | 17% | 13 Jul → | |
| dust2 | 2–13 | -0.06 | 30% | 12 Jul → | |
| cache | 6–13 | 0.04 | 29% | 12 Jul → | |
| dust2 | 16–12 | 0.01 | 32% | 12 Jul → | |
| nuke | 13–11 | 0.01 | 30% | 12 Jul → | |
| mirage | 5–13 | -0.06 | 29% | 12 Jul → | |
| dust2 | 14–10 | -0.03 | 38% | 12 Jul → | |
| inferno | 13–11 | 0.02 | 24% | 9 Jul → | |
| nuke | 13–8 | 0.03 | 30% | 9 Jul → | |
| dust2 | 13–6 | 0.13 | 31% | 29 Jun → | |
| cache | 4–13 | -0.05 | 24% | 1 May → | |
| inferno | 9–6 | 0.07 | 32% | 24 Mar → | |
| mirage | 7–11 | -0.03 | 24% | 23 Feb → | |
| mirage | 13–2 | 0.16 | 25% | 5 Feb → | |
| mirage | 13–10 | 0.03 | 16% | 19 Jan → | |
| anubis | 13–9 | 0.07 | 30% | 10 Jan → | |
| mirage | 13–10 | 0.11 | 29% | 15 Oct → | |
| mirage | 13–6 | 0.10 | 26% | 9 Oct → | |
| train | 13–8 | 0.01 | 20% | 31 Aug → | |
| mirage | 13–9 | 0.01 | 29% | 12 Jul → | |
| anubis | 11–13 | -0.03 | 26% | 13 Jun → | |
| inferno | 13–7 | 0.05 | 14% | 13 Jun → | |
| ancient | 6–13 | -0.04 | 48% | 13 Jun → | |
| nuke | 3–13 | -0.05 | 24% | 11 Jun → | |
| anubis | 9–13 | -0.06 | 13% | 11 Jun → | |
| inferno | 13–6 | 0.10 | 30% | 6 Jun → | |
| dust2 | 13–10 | 0.05 | 29% | 6 Jun → | |
| train | 13–6 | -0.02 | 19% | 4 Jun → | |
| mirage | 8–13 | -0.03 | 38% | 4 Jun → | |
| nuke | 6–13 | -0.05 | 32% | 4 Jun → | |
| nuke | 16–12 | 0.09 | 32% | 3 Jun → | |
| inferno | 13–8 | 0.01 | 29% | 3 Jun → | |
| nuke | 2–13 | -0.06 | 45% | 1 Jun → | |
| mirage | 8–13 | 0.01 | 40% | 1 Jun → | |
| mirage | 8–13 | 0.00 | 25% | 30 May → | |
| nuke | 20–22 | -0.04 | 25% | 30 May → | |
| inferno | 13–8 | 0.05 | 30% | 30 May → | |
| nuke | 13–10 | -0.06 | 24% | 30 May → | |
| anubis | 10–13 | -0.03 | 24% | 30 May → | |
| mirage | 5–13 | -0.07 | 18% | 30 May → | |
| inferno | 13–7 | -0.03 | 15% | 29 May → | |
| train | 13–6 | 0.03 | 31% | 29 May → | |
| inferno | 19–17 | 0.01 | 29% | 27 May → | |
| anubis | 19–15 | 0.01 | 28% | 27 May → | |
| train | 3–13 | -0.03 | 19% | 26 May → | |
| mirage | 10–13 | -0.01 | 23% | 26 May → | |
| anubis | 11–13 | -0.02 | 20% | 22 May → | |
| inferno | 13–4 | 0.01 | 23% | 22 May → |
Match data via Leetify.
