nejmocnější nejmocník

nejmocnější nejmocník — CS2 Stats

76561198255922815[U:1:295657087]Steam profile ↗✓ No bans

665Tracked matches52%Win rate2023Tracked since
1,120Hours in CS
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating13,674Blue band · top ~35.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,674 +646 2 Jul – 23 Sept · 23 days played
12,76915,964peak 15,9642 Jul23 Sept
15,964Peak Premier in tracked matches
41Days played since 2026-07-01

Premier CS Rating

  • 2,290 below peak (15,964)
  • -1,127 over 30 days · declining
  • +646 over 90 days
  • Next: Purple band at 15,000 — 1,326 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate42.7%42.7%43.8%1.0% short
Shot accuracy12.9%11.3%12.0%above
Kill/death ratio0.960.991.020.05 short
Match win rate48.0%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGnejmocnější nejmocníkFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,674 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim80
Positioning57
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWLLLLWWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · −9ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 544ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 516ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 521ms

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.

Aim8.0
Utility4.8
Positioning5.7
Opening Duels4.6
Clutch5.8

Limited utility dependence

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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower 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

Areas to improve

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

Aim8.0
Positioning5.7
Utility4.8
Mechanics7.7
Opening Duels4.5
Win Impact5.6

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time531ms−58ms
first ⅓ avg 590ms → last ⅓ avg 531ms
Headshot accuracy16.8%−2.5%
first ⅓ avg 19.3% → last ⅓ avg 16.8%

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

0.21Best match rating · 13–3 · dust2, 5 Jul →
34%Best headshot accuracy · 9–13 · inferno, 27 Jul →
430msFastest reaction time · 1–13 · dust2, 10 Sept →
11–0Biggest win · ancient, 23 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 69% over 13infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C2611–1542%0.02
mirageC2310–1343%0.00
infernoD154–1127%0.00
cacheS139–469%0.04
nukeB126–650%-0.00
anubisA53–260%0.01
ancient—43–175%0.01
vertigo—20–20%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,636Lifetime kills
0.96K/D
3,577Matches
48.0%Match win rate · Top 25% of Level 4 players
42.7%Headshot % · Top 50% of Level 4 players
12.9%Shot accuracy · Top 50% of Level 4 players
10,723MVPs
1,120Hours (in match)
2,002Bombs planted
456Bombs defused

Most-used weapons

AK-4714,020
AWP7,828
SSG 081,516
Knife1,348
MP9881

Lifetime map wins

4,861dust2
3,090cbble
1,842inferno
1,464nuke
429vertigo
199office
141lake
87train

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

78Matches
37%Win rate
0.95Avg K/D
88.0ADR
46%Headshot %

Clutches & streaks

49%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust22133%1.0514.2
Mirage1844%1.1819.2
Nuke650%1.1719.5
Anubis425%1.0220.8
Inferno450%1.0416.3
Ancient450%0.8612.3
Cache2100%0.8513.5

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.

17.1%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.9%Spray accuracy
84.5%Counter-strafing
6.5°Preaim
524msReaction time
49.0%T opening success
47.2%CT opening success
0.64Enemies flashed / flash
5.5%Flash assists
11.06HE damage / grenade
3.75Flashes / match

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.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.745 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–130.0128%23 Sept →
mirage13–70.0111%23 Sept →
mirage10–13-0.049%20 Sept →
dust27–13-0.066%14 Sept →
inferno7–13-0.0521%10 Sept →
dust21–13-0.0418%10 Sept →
cache13–80.0312%9 Sept →
dust213–30.0315%9 Sept →
nuke13–110.0328%8 Sept →
dust213–60.0724%5 Sept →
nuke13–50.0120%5 Sept →
dust26–70.0222%5 Sept →
nuke10–130.0133%3 Sept →
ancient13–70.0617%26 Aug →
cache13–110.0324%26 Aug →
anubis13–30.0314%25 Aug →
inferno10–13-0.0311%25 Aug →
cache13–80.0516%25 Aug →
dust23–13-0.0314%25 Aug →
cache4–130.1019%25 Aug →
mirage16–12-0.0517%24 Aug →
inferno13–110.0621%24 Aug →
dust24–13-0.0511%24 Aug →
dust24–20.1119%24 Aug →
dust215–15-0.0811%19 Aug →
nuke13–60.0412%19 Aug →
anubis7–130.049%19 Aug →
ancient16–14-0.0711%14 Aug →
mirage13–10-0.0322%14 Aug →
nuke6–130.0119%9 Aug →
nuke4–13-0.1112%9 Aug →
cache13–100.0513%8 Aug →
dust212–16-0.0218%7 Aug →
inferno13–9-0.0213%7 Aug →
cache2–12-0.0411%7 Aug →
inferno13–3-0.019%5 Aug →
nuke11–130.0225%5 Aug →
mirage7–130.0318%4 Aug →
dust216–14-0.0113%3 Aug →
dust26–130.0531%2 Aug →
nuke6–13-0.126%2 Aug →
inferno9–130.018%2 Aug →
mirage11–6-0.0720%2 Aug →
dust213–40.0715%29 Jul →
inferno13–40.0330%28 Jul →
dust29–130.0510%28 Jul →
nuke13–10-0.0514%27 Jul →
inferno9–130.0214%27 Jul →
mirage16–13-0.0418%27 Jul →
inferno9–13-0.0534%27 Jul →
mirage13–11-0.042%23 Jul →
ancient11–00.036%23 Jul →
mirage13–7-0.0421%22 Jul →
mirage4–13-0.0132%22 Jul →
cache13–100.0819%22 Jul →
ancient10–130.0015%22 Jul →
mirage6–13-0.0820%22 Jul →
mirage3–13-0.0328%20 Jul →
mirage13–50.1110%19 Jul →
inferno6–13-0.0511%19 Jul →
cache13–20.0113%19 Jul →
dust213–70.1323%19 Jul →
anubis13–3-0.0013%19 Jul →
mirage8–13-0.0214%18 Jul →
cache13–60.1119%18 Jul →
dust211–13-0.0120%17 Jul →
mirage8–130.0318%17 Jul →
dust213–90.0110%16 Jul →
mirage13–30.0313%15 Jul →
dust210–13-0.0310%14 Jul →
vertigo3–90.0121%14 Jul →
dust210–130.0222%14 Jul →
mirage13–70.1031%14 Jul →
nuke13–60.1022%13 Jul →
cache7–13-0.0113%13 Jul →
nuke13–50.0421%13 Jul →
anubis13–110.0814%13 Jul →
cache13–70.0518%13 Jul →
inferno8–130.0816%9 Jul →
anubis2–13-0.0816%8 Jul →
mirage9–13-0.0223%8 Jul →
inferno6–100.0213%8 Jul →
mirage4–130.0415%8 Jul →
cache13–110.0519%8 Jul →
mirage12–120.0719%8 Jul →
nuke10–130.0022%7 Jul →
vertigo9–130.0732%7 Jul →
dust213–100.0922%7 Jul →
dust213–30.2123%5 Jul →
mirage7–130.0725%5 Jul →
cache6–130.0624%4 Jul →
dust26–13-0.0918%4 Jul →
dust213–11-0.0220%3 Jul →
mirage11–130.0618%2 Jul →
inferno12–120.0520%2 Jul →
inferno11–130.0118%2 Jul →
dust213–4-0.0421%2 Jul →
inferno4–10-0.0021%1 Jul →
mirage11–130.0121%1 Jul →
dust213–70.0718%1 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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