dwushka

dwushka — CS2 Stats

RU76561198803479269[U:1:843213541]Steam profile ↗✓ No bans

2,705Tracked matches62%Win rate2020Tracked since
17,464Hours in CS87Hrs last 2 wks
CSDB Rating7.8 StrongPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 4,403 → 4,403
+19Tracked matches · now 2,705
−4.6ppWin rate · 66.7% → 62.1%

Rating over time

Faceit ELO: 4,403 +0 29 Aug – 26 Sept · 8 observations
4,4034,403peak 4,40329 Aug26 Sept
4,403Highest Faceit ELO seen on CSDB
28Days played since 2026-07-27

Faceit ELO

  • At peak — 4,403
  • 0 over 30 days · steady
  • Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
  • 4,000 ELO first seen 2026-08-29
  • 3,500 ELO first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches63——
Win rate59%——
K/D0.82——
Headshot %79%——

Measured 8 Sep 2026 → 9 Oct 2026; no observation near 60 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.

Share this profile

CSDB.GGdwushka30 DAYS0 ELOPEAK ELO4,403csdb.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

Aim95
Positioning67
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY63–36–1Last 10063%Win rateLWWLWLLWWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.7pp headshot accuracy · +20ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 406ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 435ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 425ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim9.5
Utility4.8
Positioning6.7
Opening Duels4.0
Clutch4.0

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

ropz

Plays most like ropz 94% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

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

Aim9.5
Positioning6.7
Utility4.8
Mechanics7.7
Opening Duels4.5
Win Impact9.0

Composite 7.8/10 (Strong), 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

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time427ms−43ms
first ⅓ avg 471ms → last ⅓ avg 427ms
Headshot accuracy23.5%−2.9%
first ⅓ avg 26.4% → last ⅓ avg 23.5%

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

0.22Best match rating · 13–2 · ancient, 20 Aug →
50%Best headshot accuracy · 1–2 · cache, 3 Sept →
281msFastest reaction time · 10–13 · anubis, 31 Jul →
13–0Biggest win · mirage, 29 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
4–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 69% over 13anubisWeakest map · 59% over 17
MapGradePlayedRecordWin rateAvg rating
cacheS2315–865%0.02
dust2A2214–864%0.03
anubisA1710–759%-0.01
nukeS139–469%0.01
ancientA138–562%0.02
mirageA117–464%0.03
inferno—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (59% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

653,667Lifetime kills
0.88K/D
9,281Matches
54.6%Match win rate · Top 10% of tracked players
73.1%Headshot % · Top 1% of tracked players
14.5%Shot accuracy · Top 50% of tracked players
33,294MVPs
44,554Hours (in match)
11,941Bombs planted
3,203Bombs defused

Most-used weapons

AK-47319,435
AWP52,429
Glock-1810,998
P25010,996
Knife6,903
FAMAS4,989

Lifetime map wins

19,462dust2
11,494nuke
9,216inferno
8,714vertigo
6,137train
89cbble
31office
26italy

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

Faceit stats

Combat

6,336Matches
56%Win rate
1.30Avg K/D
88.8ADR
57%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
22Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage73661%1.4018.7
Ancient36460%1.3317.8
Dust233055%1.3517.9
Nuke20661%1.4317.7
Anubis19168%1.3416.6
Train5668%1.4418.3
Overpass4058%1.4617.7
Vertigo3956%1.3117.8

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.

23.2%Headshot accuracy
40.8%Accuracy (enemy spotted)
44.0%Spray accuracy
84.6%Counter-strafing
9.3°Preaim
434msReaction time
44.7%T opening success
51.5%CT opening success
0.42Enemies flashed / flash
4.8%Flash assists
6.57HE damage / grenade
8.38Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4188 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0226%7 Oct →
cache16–120.0925%7 Oct →
nuke13–30.0126%7 Oct →
ancient8–13-0.0220%1 Oct →
dust213–90.0538%1 Oct →
cache11–130.0116%1 Oct →
anubis2–13-0.075%29 Sept →
dust213–50.0827%29 Sept →
cache13–3-0.0320%29 Sept →
mirage13–00.0016%29 Sept →
anubis13–00.1327%29 Sept →
dust20–3-0.120%29 Sept →
anubis9–13-0.0920%29 Sept →
dust210–10-0.0319%29 Sept →
cache13–10.1725%24 Sept →
mirage13–10.2030%24 Sept →
nuke13–50.0114%23 Sept →
cache13–00.0711%23 Sept →
dust214–160.0624%13 Sept →
anubis6–13-0.0622%13 Sept →
ancient13–16-0.0427%13 Sept →
anubis16–130.0123%13 Sept →
nuke7–13-0.0125%13 Sept →
cache13–7-0.0614%13 Sept →
mirage13–9-0.0127%12 Sept →
anubis13–80.0227%12 Sept →
cache2–13-0.0240%10 Sept →
nuke13–8-0.0527%10 Sept →
ancient13–30.0613%10 Sept →
ancient13–30.0836%9 Sept →
cache4–130.0147%9 Sept →
inferno7–13-0.0323%9 Sept →
cache13–50.0034%9 Sept →
mirage13–7-0.0022%9 Sept →
ancient13–80.0531%8 Sept →
mirage13–90.0123%8 Sept →
nuke13–50.0732%7 Sept →
nuke10–13-0.0226%5 Sept →
ancient6–13-0.0540%5 Sept →
dust213–40.0531%5 Sept →
cache16–130.0228%4 Sept →
mirage13–100.0221%4 Sept →
anubis19–17-0.0325%3 Sept →
dust27–13-0.0238%3 Sept →
ancient6–13-0.0532%3 Sept →
mirage10–13-0.0419%3 Sept →
cache5–13-0.0332%3 Sept →
cache1–20.0350%3 Sept →
nuke13–80.0632%3 Sept →
ancient16–14-0.0128%2 Sept →
cache13–90.0115%2 Sept →
nuke13–40.0720%2 Sept →
cache13–110.0128%2 Sept →
cache13–70.0433%1 Sept →
dust210–13-0.0519%1 Sept →
anubis25–22-0.0124%1 Sept →
anubis13–8-0.0420%31 Aug →
nuke15–19-0.0320%31 Aug →
dust213–20.0946%31 Aug →
cache13–8-0.0018%31 Aug →
dust213–50.1130%31 Aug →
cache13–60.0430%26 Aug →
dust213–100.0329%26 Aug →
dust213–40.0750%25 Aug →
anubis13–90.0635%24 Aug →
dust213–60.0533%24 Aug →
dust213–90.0026%23 Aug →
anubis9–13-0.0221%23 Aug →
nuke13–80.0331%23 Aug →
anubis13–1-0.0022%21 Aug →
ancient13–20.2236%20 Aug →
ancient9–130.0132%15 Aug →
mirage3–50.0238%15 Aug →
dust211–13-0.0121%9 Aug →
cache9–13-0.0126%9 Aug →
mirage13–70.1523%9 Aug →
anubis13–110.0336%9 Aug →
ancient13–10-0.0124%9 Aug →
nuke3–130.0248%9 Aug →
dust213–20.0030%9 Aug →
nuke16–13-0.0428%9 Aug →
cache13–60.0519%7 Aug →
dust213–40.0115%7 Aug →
nuke13–10.0242%7 Aug →
anubis13–10.0419%7 Aug →
cache17–190.0627%31 Jul →
ancient13–80.0219%31 Jul →
anubis10–13-0.0317%31 Jul →
cache17–190.0627%31 Jul →
anubis10–13-0.0317%31 Jul →
ancient13–80.0219%31 Jul →
mirage8–13-0.0324%31 Jul →
dust26–13-0.0120%31 Jul →
dust26–13-0.0120%31 Jul →
mirage8–13-0.0324%31 Jul →
cache13–20.0321%31 Jul →
dust213–10.1128%31 Jul →
dust213–10.1128%31 Jul →
cache13–20.0321%31 Jul →
dust213–20.1147%27 Jul →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 MatchesAim 90+
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.