ÐOÐGΞЯ

ÐOÐGΞЯ — CS2 Stats

CH76561197960429080[U:1:163352]Steam profile ↗✓ No bans

811Tracked matches23%Win rate2020Tracked since
3,195Hours in CS4Hrs last 2 wks
CSDB Rating2.3 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 811
−10.0ppWin rate · 33.3% → 23.3%

Rating over time

Premier CS Rating: 4,420 -214 8 Jul – 18 Jun · 12 days played
3,8916,676peak 6,6768 Jul18 Jun
6,676Peak Premier in tracked matches
40Days played since 2025-06-29

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches4——
Win rate0%——
K/D0.48——
Headshot %37%——

Measured 25 Sep 2026 → 1 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

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.

Performance scores

Aim19
Positioning19
Utility41

0–100 skill scores via Leetify.

Recent form

COLD35–63–2Last 10035%Win rateLLLLWLWLLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −1.9pp headshot accuracy · −78ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 645ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 630ms

Last 20

  • 3–17 · 15% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 669ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim1.9
Utility4.1
Positioning1.9
Opening Duels0.0

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

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 711ms 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

Aim1.9
Positioning1.9
Utility4.1
Mechanics4.8
Opening Duels0.0
Win Impact0.0

Composite 2.3/10 (Learning), 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

Match rating-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time720ms−13ms
first ⅓ avg 733ms → last ⅓ avg 720ms
Headshot accuracy14.4%−0.3%
first ⅓ avg 14.7% → last ⅓ avg 14.4%

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

0.05Best match rating · 13–5 · inferno, 15 Mar →
33%Best headshot accuracy · 1–13 · anubis, 8 Jul →
438msFastest reaction time · 10–13 · nuke, 22 Aug →
13–1Biggest win · overpass, 29 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
6–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 63% over 8anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC249–1538%-0.05
infernoD237–1630%-0.04
ancientD134–931%-0.04
anubisD102–820%-0.08
overpassA85–363%-0.05
mirageD72–529%-0.05
dust2C73–443%-0.05
cache—32–167%-0.02
train—31–233%-0.05
office—10–10%-0.12
agency—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,110Lifetime kills
0.79K/D
4,094Matches
42.2%Match win rate
39.1%Headshot %
14.7%Shot accuracy · Top 50% of tracked players
6,475MVPs
1,738Hours (in match)
5,653Bombs planted
834Bombs defused

Most-used weapons

P9018,922
MAC-105,670
AK-474,984
XM10142,900
MP91,337
AUG1,250
AWP1,126

Lifetime map wins

11,948inferno
6,244nuke
5,135dust2
1,188cbble
956train
761vertigo
388office
315italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.2%Headshot accuracy
21.9%Accuracy (enemy spotted)
45.2%Spray accuracy
71.6%Counter-strafing
15.2°Preaim
711msReaction time
10.4%T opening success
9.9%CT opening success
0.41Enemies flashed / flash
4.8%Flash assists
10.56HE damage / grenade
3.19Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 15.1732° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.2255% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 710.5869ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–16-0.0418%26 Sept →
nuke7–13-0.0031%26 Sept →
ancient7–13-0.0717%26 Sept →
ancient10–13-0.0925%26 Sept →
inferno13–10-0.048%9 Sept →
mirage3–13-0.086%4 Sept →
nuke16–12-0.0618%4 Sept →
ancient8–13-0.058%4 Sept →
anubis6–13-0.099%30 Aug →
inferno6–13-0.050%26 Aug →
nuke7–13-0.088%26 Aug →
nuke4–13-0.0517%24 Aug →
ancient7–13-0.0315%24 Aug →
nuke9–13-0.0523%23 Aug →
inferno2–13-0.079%22 Aug →
anubis9–13-0.0611%22 Aug →
nuke10–13-0.109%22 Aug →
nuke13–9-0.0018%22 Aug →
mirage7–13-0.0623%18 Jun →
dust28–13-0.0725%18 Jun →
anubis5–13-0.125%18 Jun →
anubis8–13-0.0912%7 Jun →
overpass3–13-0.164%17 May →
ancient13–9-0.0726%17 May →
anubis13–9-0.0518%17 May →
cache13–30.0318%29 Apr →
cache5–13-0.050%29 Apr →
cache13–8-0.0614%29 Apr →
inferno6–13-0.0614%29 Mar →
dust24–13-0.096%29 Mar →
anubis9–13-0.0520%29 Mar →
nuke13–80.0218%22 Mar →
inferno13–6-0.0324%22 Mar →
ancient13–6-0.069%22 Mar →
inferno13–50.0518%15 Mar →
anubis13–11-0.067%4 Mar →
nuke16–14-0.058%4 Mar →
nuke13–5-0.0114%4 Mar →
inferno13–8-0.0712%22 Feb →
nuke9–13-0.113%13 Feb →
inferno2–13-0.047%13 Feb →
inferno6–13-0.0414%9 Feb →
inferno12–12-0.0712%9 Feb →
nuke8–13-0.0619%8 Feb →
dust213–100.0113%31 Jan →
inferno11–13-0.0516%31 Jan →
anubis6–13-0.009%31 Jan →
nuke13–6-0.038%23 Jan →
inferno10–13-0.0516%23 Jan →
anubis14–16-0.0622%23 Jan →
ancient6–13-0.037%22 Jan →
mirage8–13-0.0521%22 Jan →
inferno13–16-0.0618%18 Jan →
overpass16–12-0.056%11 Jan →
ancient13–11-0.0610%11 Jan →
inferno3–13-0.0626%29 Nov →
train13–7-0.0416%29 Nov →
nuke10–13-0.0017%29 Nov →
nuke10–13-0.067%29 Nov →
nuke14–160.0219%23 Nov →
ancient13–100.0112%23 Nov →
nuke4–13-0.045%9 Nov →
nuke5–13-0.0710%9 Nov →
train11–13-0.0821%19 Oct →
office0–13-0.124%19 Sept →
train8–13-0.0212%19 Sept →
mirage8–13-0.0115%19 Sept →
dust25–13-0.076%9 Sept →
overpass13–6-0.0322%9 Sept →
ancient7–13-0.0316%4 Sept →
overpass13–10-0.058%4 Sept →
inferno8–13-0.0511%10 Aug →
dust20–13-0.0710%10 Aug →
mirage13–7-0.0715%10 Aug →
overpass5–13-0.0312%30 Jul →
dust213–11-0.0518%29 Jul →
ancient8–13-0.0416%29 Jul →
inferno13–8-0.0221%29 Jul →
nuke13–11-0.0423%29 Jul →
overpass13–1-0.0026%29 Jul →
inferno10–13-0.0714%29 Jul →
ancient7–13-0.076%29 Jul →
nuke13–90.0216%22 Jul →
overpass13–5-0.0411%22 Jul →
ancient11–130.0219%22 Jul →
inferno13–8-0.027%22 Jul →
mirage16–14-0.058%19 Jul →
nuke13–80.0114%19 Jul →
dust213–1-0.002%18 Jul →
overpass3–13-0.0514%18 Jul →
inferno13–16-0.0115%18 Jul →
nuke7–13-0.120%8 Jul →
anubis1–13-0.1633%8 Jul →
inferno13–30.0220%8 Jul →
inferno4–13-0.0314%8 Jul →
inferno6–9-0.0531%29 Jun →
nuke1–9-0.267%29 Jun →
inferno4–9-0.0812%29 Jun →
agency9–13-0.0227%29 Jun →
nuke12–12-0.0611%29 Jun →

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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