aždaHa

aždaHa — CS2 Stats

CY76561199174528616[U:1:1214262888]Steam profile ↗✓ No bans

1,068Tracked matches41%Win rate2021Tracked since
1,048Hours in CS17Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating17,222Purple band · top ~19.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 17,222 +1,708 23 Apr – 13 Nov · 32 days played
13,89019,999peak 19,99923 Apr13 Nov
19,999Peak Premier in tracked matches
44Days played since 2026-04-23

Premier CS Rating

  • 2,777 below peak (19,999)
  • -1,087 over 30 days · declining
  • Next: Pink band at 20,000 — 2,778 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-11-03
  • Blue band first seen 2026-11-03

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate37.5%43.8%44.8%7.3% short
Shot accuracy17.6%12.0%12.4%above
Kill/death ratio0.741.021.030.30 short
Match win rate39.8%44.7%45.2%5.4% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGaždaHaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,222 · Purple 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

Aim71
Positioning25
Utility59

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateLLLWLLLTWL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −0.3pp headshot accuracy · +25ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 716ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 13%
  • Avg reaction 642ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 630ms

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 (+3.6 against its own average).

Aim7.1
Utility5.9
Positioning2.5
Opening Duels0.0
Clutch1.0

Strong CT-side openerLimited 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 73% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower 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

Areas to improve

Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 30% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim7.1
Positioning2.5
Utility5.9
Mechanics6.9
Opening Duels0.0
Win Impact2.1

Composite 4.8/10 (Developing), 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-0.03+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time630ms−65ms
first ⅓ avg 695ms → last ⅓ avg 630ms
Headshot accuracy11.6%−2.1%
first ⅓ avg 13.7% → last ⅓ avg 11.6%

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

0.10Best match rating · 13–11 · mirage, 14 Aug →
33%Best headshot accuracy · 3–13 · mirage, 3 May →
453msFastest reaction time · 13–11 · nuke, 10 Oct →
13–1Biggest win · nuke, 23 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
7–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 61% over 18cacheWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC2912–1741%-0.02
nukeA1811–761%-0.03
dust2C187–1139%-0.03
cacheD113–827%-0.04
infernoC104–640%-0.05
ancientD93–633%-0.04
anubisC52–340%-0.04

Across the last 100 tracked matches.

Lifetime stats

22,044Lifetime kills
0.74K/D
1,326Matches
39.8%Match win rate
37.5%Headshot %
17.6%Shot accuracy · Top 25% of Level 5 players
2,107MVPs
628Hours (in match)
1,828Bombs planted
296Bombs defused

Most-used weapons

Lifetime map wins

2,052dust2
2,029inferno
1,765nuke
490vertigo
426train
17lake
6assault

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

Faceit stats

Combat

348Matches
49%Win rate
0.78Avg K/D
59.4ADR
35%Headshot %

Clutches & streaks

25%1v1 clutch win
4%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2030%0.478.5
Ancient1020%0.6411.8
Nuke850%0.8813.5
Dust2667%0.8712.5
Inferno40%0.6012.0
Anubis30%0.469.0
Overpass20%0.7515.0
Vertigo1100%0.8814.0

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.

11.9%Headshot accuracy
38.6%Accuracy (enemy spotted)
40.0%Spray accuracy
81.2%Counter-strafing
8.7°Preaim
621msReaction time
9.4%T opening success
29.8%CT opening success
0.58Enemies flashed / flash
5.0%Flash assists
11.08HE damage / grenade
4.31Flashes / 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. 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 11.9432% — below the 15% mark we flag

    Aim Training →
  2. 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 9.3897% — below the 40% mark we flag

Spend your practice time on Cache

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 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0618%13 Nov →
ancient5–13-0.043%13 Nov →
cache3–13-0.1020%13 Nov →
mirage13–7-0.0520%12 Nov →
mirage10–13-0.0519%12 Nov →
mirage10–13-0.0612%11 Nov →
inferno9–13-0.0618%11 Nov →
inferno15–15-0.109%10 Nov →
dust213–4-0.074%10 Nov →
mirage4–13-0.085%8 Nov →
dust210–130.014%8 Nov →
dust24–13-0.0420%8 Nov →
nuke13–11-0.076%8 Nov →
mirage13–5-0.0218%7 Nov →
inferno13–60.0213%7 Nov →
dust25–13-0.074%5 Nov →
nuke9–13-0.0314%5 Nov →
inferno13–16-0.0724%2 Nov →
dust213–50.0114%2 Nov →
dust27–130.0614%2 Nov →
mirage13–16-0.0215%1 Nov →
anubis9–13-0.014%1 Nov →
mirage10–13-0.0812%1 Nov →
cache13–8-0.017%28 Oct →
mirage13–8-0.006%28 Oct →
mirage13–90.018%28 Oct →
ancient13–8-0.037%27 Oct →
nuke13–11-0.0116%27 Oct →
nuke13–90.0313%26 Oct →
cache10–13-0.055%26 Oct →
nuke13–110.029%25 Oct →
nuke13–7-0.0912%24 Oct →
ancient1–80.016%24 Oct →
ancient1–13-0.0611%24 Oct →
dust213–20.0310%24 Oct →
nuke13–10.0125%23 Oct →
inferno14–16-0.0313%23 Oct →
mirage13–30.0310%21 Oct →
dust28–13-0.0913%21 Oct →
cache15–15-0.0117%21 Oct →
dust213–4-0.048%21 Oct →
dust27–13-0.0013%21 Oct →
dust213–2-0.017%21 Oct →
dust213–8-0.0211%20 Oct →
nuke13–9-0.064%18 Oct →
mirage8–13-0.047%18 Oct →
anubis13–16-0.110%18 Oct →
ancient3–13-0.126%18 Oct →
nuke11–130.0211%14 Oct →
inferno6–13-0.035%14 Oct →
mirage3–130.029%14 Oct →
inferno16–13-0.0712%13 Oct →
dust213–11-0.0217%10 Oct →
nuke13–11-0.0114%10 Oct →
mirage13–16-0.0619%16 Aug →
mirage13–30.0311%16 Aug →
mirage13–110.1014%14 Aug →
cache13–70.0310%13 Aug →
mirage6–13-0.0519%12 Aug →
dust211–130.0124%10 Aug →
nuke16–13-0.0321%10 Aug →
mirage2–13-0.0812%8 Aug →
inferno13–9-0.059%8 Aug →
mirage13–40.0410%7 Aug →
mirage14–16-0.0121%6 Aug →
mirage2–6-0.0322%7 Jun →
mirage9–130.0511%6 Jun →
nuke13–8-0.0116%6 Jun →
ancient13–8-0.0512%6 Jun →
mirage13–20.0317%4 Jun →
anubis13–5-0.0216%4 Jun →
inferno3–13-0.078%4 Jun →
mirage13–11-0.0211%18 May →
dust211–13-0.083%18 May →
nuke5–13-0.087%18 May →
ancient8–13-0.0313%17 May →
mirage12–16-0.0412%17 May →
nuke4–13-0.0313%14 May →
mirage13–10-0.0713%14 May →
mirage4–13-0.0720%14 May →
mirage8–13-0.029%12 May →
anubis13–10-0.0113%11 May →
cache6–13-0.0618%10 May →
dust211–13-0.0518%10 May →
cache10–13-0.047%6 May →
cache5–13-0.1125%5 May →
cache9–13-0.0518%5 May →
anubis9–13-0.0510%3 May →
ancient13–9-0.043%3 May →
mirage3–13-0.0333%3 May →
nuke13–70.0111%3 May →
cache7–13-0.0318%30 Apr →
dust26–12-0.0520%30 Apr →
dust23–13-0.0513%30 Apr →
cache13–30.0418%30 Apr →
nuke5–13-0.115%26 Apr →
mirage13–50.0819%26 Apr →
ancient10–130.0111%26 Apr →
inferno13–10-0.0314%23 Apr →
nuke14–16-0.0410%23 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.