Doossani

Doossani — CS2 Stats

76561198391106955[U:1:430841227]Steam profile ↗✓ No bans

1,530Tracked matches44%Win rate2021Tracked since
5,377Hours in CS12Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
Premier CS Rating15,911Purple band · top ~24.8% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 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: 15,911 -170 21 Mar – 13 Oct · 13 days played
15,68117,602peak 17,60221 Mar13 Oct
Faceit ELO: 1,604 +0 1 Sept – 20 Sept · 2 observations
1,6041,604peak 1,6041 Sept20 Sept
17,602Peak Premier in tracked matches
1,604Highest Faceit ELO seen on CSDB
43Days played since 2026-03-21

Faceit ELO

  • At peak — 1,604
  • Next: Level 9 at 1,751 — 147 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

Premier CS Rating

  • 1,691 below peak (17,602)
  • Next: Pink band at 20,000 — 4,089 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.6%44.3%46.9%5.4% short
Shot accuracy14.6%11.9%13.0%above
Kill/death ratio1.171.031.08above
Match win rate41.9%45.2%46.7%4.8% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDoossaniPREMIER15,911 · Purple bandPEAK ELO1,604csdb.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

Aim67
Positioning47
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLLWLWWWWTL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −10.9pp headshot accuracy · −18ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 637ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 610ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 619ms

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 (+0.9 against its own average).

Aim6.7
Utility4.8
Positioning4.7
Opening Duels2.7
Clutch3.6

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 618ms 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

Aim6.7
Positioning4.7
Utility4.8
Mechanics5.7
Opening Duels2.7
Win Impact3.1

Composite 5.1/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time622ms−15ms
first ⅓ avg 637ms → last ⅓ avg 622ms
Headshot accuracy20.8%+0.6%
first ⅓ avg 20.3% → last ⅓ avg 20.8%

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

0.16Best match rating · 9–2 · inferno, 4 Sept →
67%Best headshot accuracy · 2–6 · mirage, 27 Jun →
359msFastest reaction time · 9–2 · inferno, 4 Sept →
13–1Biggest win · anubis, 25 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
7–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 67% over 6infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%-0.02
nukeB168–850%-0.01
anubisA149–564%-0.02
infernoD123–925%0.01
ancientB126–650%-0.00
cacheD62–433%-0.03
vertigoB63–350%-0.06
dust2S64–267%-0.02
train—21–150%0.00
overpass—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,951Lifetime kills
1.17K/D · Top 25% of Purple band
3,778Matches
41.9%Match win rate
41.6%Headshot %
14.6%Shot accuracy · Top 50% of Purple band
11,494MVPs
1,923Hours (in match)
3,078Bombs planted
3,244Bombs defused

Most-used weapons

AK-4730,286
AWP12,754
SSG 082,242
MP91,409
FAMAS1,301

Lifetime map wins

7,842vertigo
5,288nuke
5,048inferno
3,304dust2
637train
125cbble
62lake
58office

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

Faceit stats

Combat

581Matches
52%Win rate
1.17Avg K/D
78.8ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis8456%1.1216.3
Ancient7553%1.1616.8
Mirage6743%0.9514.8
Vertigo4271%1.3016.4
Nuke4163%1.1516.5
Inferno2544%0.9114.2
Dust22330%0.8714.1
Train743%0.9718.0

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.

21.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
37.7%Spray accuracy
75.6%Counter-strafing
10.2°Preaim
618msReaction time
43.0%T opening success
38.7%CT opening success
0.55Enemies flashed / flash
3.1%Flash assists
7.18HE damage / grenade
6.58Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.7254% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–130.0313%13 Oct →
inferno11–13-0.0112%13 Oct →
mirage16–13-0.0814%12 Oct →
mirage7–13-0.0130%12 Oct →
anubis13–8-0.0214%12 Oct →
nuke16–120.0419%9 Oct →
inferno13–30.066%9 Oct →
nuke13–100.0216%9 Oct →
mirage12–12-0.0728%9 Oct →
mirage0–8-0.210%8 Oct →
mirage1–13-0.110%8 Oct →
anubis13–7-0.0314%4 Oct →
train12–120.0348%15 Sept →
anubis5–13-0.0523%14 Sept →
cache3–13-0.0729%14 Sept →
mirage5–13-0.0750%14 Sept →
mirage13–5-0.0430%13 Sept →
mirage16–13-0.0231%12 Sept →
ancient7–13-0.0224%6 Sept →
ancient15–150.0413%4 Sept →
inferno9–20.1617%4 Sept →
cache5–13-0.1425%30 Aug →
mirage13–90.0524%26 Aug →
mirage13–4-0.0310%26 Aug →
nuke10–130.0320%25 Aug →
mirage13–3-0.0119%25 Aug →
inferno7–13-0.0230%25 Aug →
inferno7–13-0.0920%25 Aug →
cache13–11-0.0420%25 Aug →
ancient6–130.0314%25 Aug →
mirage4–13-0.0217%25 Aug →
anubis10–13-0.0618%24 Aug →
inferno3–90.0239%24 Aug →
inferno6–13-0.0221%22 Aug →
ancient6–13-0.0212%22 Aug →
mirage5–13-0.0128%22 Aug →
mirage13–11-0.0213%22 Aug →
inferno2–13-0.0120%22 Aug →
anubis7–3-0.0517%10 Aug →
mirage13–6-0.0418%1 Aug →
nuke16–14-0.0119%1 Aug →
vertigo8–13-0.0322%1 Aug →
ancient9–13-0.0614%20 Jul →
cache1–70.0350%27 Jun →
mirage2–6-0.0767%27 Jun →
nuke13–90.0331%26 Jun →
mirage12–120.0223%25 Jun →
dust213–3-0.0124%25 Jun →
inferno6–9-0.0621%25 Jun →
dust213–3-0.0823%24 Jun →
nuke8–80.0123%24 Jun →
nuke4–9-0.0331%24 Jun →
nuke13–100.0125%24 Jun →
mirage13–70.0318%22 Jun →
anubis16–12-0.0111%22 Jun →
dust214–16-0.0218%22 Jun →
nuke13–50.029%22 Jun →
mirage16–140.0427%22 Jun →
ancient7–130.0219%22 Jun →
anubis13–110.0026%22 Jun →
ancient13–20.0133%21 Jun →
overpass13–7-0.0513%21 Jun →
train13–7-0.0220%21 Jun →
inferno13–50.0512%21 Jun →
mirage13–110.0423%19 Jun →
nuke13–80.0524%12 Jun →
dust211–130.0121%12 Jun →
mirage11–130.0310%12 Jun →
cache8–13-0.0024%11 Jun →
anubis13–9-0.0023%7 Jun →
mirage10–13-0.0319%7 Jun →
dust213–11-0.0317%6 Jun →
inferno3–8-0.0424%5 Jun →
anubis13–8-0.0821%4 Jun →
ancient13–7-0.1212%3 Jun →
vertigo13–5-0.0619%3 Jun →
vertigo13–6-0.0227%3 Jun →
anubis5–13-0.0524%3 Jun →
mirage7–13-0.0118%3 Jun →
vertigo2–13-0.0940%3 Jun →
nuke5–13-0.0422%2 Jun →
ancient13–80.0215%2 May →
cache13–30.0626%2 May →
vertigo1–9-0.1521%1 May →
nuke9–60.0831%1 May →
nuke0–9-0.310%1 May →
nuke4–9-0.0920%1 May →
ancient13–20.0720%25 Apr →
anubis9–130.0318%25 Apr →
nuke14–16-0.0420%25 Apr →
anubis13–10.0315%25 Apr →
ancient13–8-0.0226%11 Apr →
dust216–12-0.0225%6 Apr →
anubis10–13-0.0327%5 Apr →
mirage13–6-0.0311%5 Apr →
mirage13–50.0914%3 Apr →
vertigo13–5-0.0114%22 Mar →
ancient13–5-0.0013%22 Mar →
inferno14–160.0327%22 Mar →
anubis13–80.0425%21 Mar →

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 →

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