Draguni

Draguni — CS2 Stats

FI76561198069889761[U:1:109624033]Steam profile ↗✓ No bans

843Tracked matches57%Win rate2020Tracked since
4,067Hours in CS1Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating20,586Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#75399 of 259979 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (7 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: 20,586 +858 23 Feb – 29 Oct · 15 days played
15,87121,064peak 21,06423 Feb29 Oct
21,427Peak Premier in tracked matches
32Days played since 2025-02-23

Premier CS Rating

  • 478 below peak (21,064)
  • +109 over 30 days · steady
  • Next: Red band at 25,000 — 4,414 to go
  • Reached: Pink band · 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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate38.4%48.2%50.9%12.5% short
Shot accuracy16.1%13.2%13.7%above
Kill/death ratio1.051.071.090.04 short
Match win rate74.3%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDraguniFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER20,586 · Pink 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

Aim74
Positioning52
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWLLLWWLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −2.8pp headshot accuracy · +46ms 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 -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 547ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 555ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 532ms

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 (+2.8 against its own average).

Aim7.4
Utility6.1
Positioning5.2
Opening Duels2.0
Clutch0.0

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

Reaction time. 563ms 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

Aim7.4
Positioning5.2
Utility6.1
Mechanics7.1
Opening Duels2.9
Win Impact7.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time575ms−28ms
first ⅓ avg 603ms → last ⅓ avg 575ms
Headshot accuracy14.8%−0.4%
first ⅓ avg 15.3% → last ⅓ avg 14.8%

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

0.10Best match rating · 13–6 · inferno, 11 Aug →
33%Best headshot accuracy · 9–13 · mirage, 8 Feb →
375msFastest reaction time · 10–13 · inferno, 30 Aug →
13–1Biggest win · ancient, 11 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 69% over 13mirageWeakest map · 42% over 31
MapGradePlayedRecordWin rateAvg rating
infernoB3216–1650%-0.00
mirageC3113–1842%-0.02
ancientB136–746%-0.01
nukeS139–469%0.01
cache—43–175%-0.01
dust2—21–150%-0.05
overpass—20–20%0.06
vertigo—10–10%-0.02
grail—10–10%-0.00
anubis—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 31). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,196Lifetime kills
1.05K/D
10,625Matches
74.3%Match win rate · Top 1% of Level 9 players
38.4%Headshot %
16.1%Shot accuracy · Top 25% of Level 9 players
13,639MVPs
2,682Hours (in match)
7,043Bombs planted
1,782Bombs defused

Most-used weapons

AK-4741,145
AWP11,604
UMP-452,576
P2502,459
Knife2,168
FAMAS2,050

Lifetime map wins

18,088inferno
3,998dust2
2,406nuke
1,107train
776cbble
478lake
387vertigo
282bank

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

Faceit stats

Combat

1,082Matches
51%Win rate
1.10Avg K/D
75.8ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.0212.5
Nuke1100%1.0716.0

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.

14.6%Headshot accuracy
36.3%Accuracy (enemy spotted)
40.7%Spray accuracy
81.9%Counter-strafing
10.0°Preaim
563msReaction time
48.5%T opening success
34.4%CT opening success
0.60Enemies flashed / flash
6.2%Flash assists
10.94HE damage / grenade
11.83Flashes / 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 14.6255% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 34.4164% — below the 40% mark we flag

Spend your practice time on Mirage

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

42% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0519%29 Oct →
ancient13–110.0214%29 Oct →
mirage8–13-0.046%3 Oct →
inferno5–130.0216%3 Oct →
ancient8–13-0.0711%3 Oct →
inferno13–100.0315%3 Oct →
cache13–5-0.0313%3 Oct →
dust210–13-0.1017%25 Sept →
cache13–50.0618%25 Sept →
nuke13–80.0210%25 Sept →
mirage13–11-0.0316%25 Sept →
inferno13–110.0113%25 Sept →
cache0–13-0.058%25 Sept →
inferno10–13-0.0018%30 Aug →
mirage13–50.0313%30 Aug →
mirage13–4-0.0223%25 Aug →
mirage11–130.0120%25 Aug →
ancient13–10.0517%11 Aug →
inferno13–60.1024%11 Aug →
mirage6–13-0.0615%11 Aug →
cache13–10-0.0417%26 Jul →
mirage13–11-0.0410%26 Jul →
inferno14–16-0.079%15 Jun →
mirage5–13-0.0219%9 Jun →
mirage13–7-0.0222%9 Jun →
inferno13–50.0210%26 May →
mirage13–7-0.0412%26 May →
ancient13–60.0512%18 May →
ancient11–13-0.0010%18 May →
ancient11–13-0.0413%5 May →
inferno5–13-0.045%5 May →
mirage5–13-0.0328%3 Apr →
mirage7–13-0.0716%3 Apr →
mirage13–11-0.0227%8 Feb →
inferno13–10-0.0621%8 Feb →
mirage9–13-0.0233%8 Feb →
inferno7–13-0.0317%30 Jan →
inferno13–40.0913%30 Jan →
inferno13–100.0210%30 Jan →
nuke10–13-0.0421%30 Jan →
inferno6–13-0.150%30 Jan →
ancient6–13-0.019%30 Jan →
mirage10–13-0.0613%25 Jan →
inferno13–100.0511%25 Jan →
nuke13–40.0723%25 Jan →
mirage14–16-0.0317%16 Jan →
mirage13–6-0.0410%16 Jan →
inferno3–13-0.0714%16 Jan →
mirage8–130.0814%20 Dec →
ancient13–7-0.0316%20 Dec →
nuke13–60.0717%20 Dec →
mirage14–16-0.0119%20 Dec →
inferno13–10-0.0015%20 Dec →
inferno16–14-0.0116%5 Dec →
mirage9–130.0318%5 Dec →
mirage4–13-0.0710%29 May →
inferno13–90.0510%29 May →
nuke13–50.0119%29 May →
vertigo8–13-0.0218%17 May →
dust213–70.0023%17 May →
grail1–13-0.0025%17 May →
mirage4–13-0.0429%17 May →
inferno13–40.0017%17 May →
nuke7–13-0.048%17 May →
ancient11–13-0.0816%17 May →
overpass12–120.0412%17 May →
inferno12–12-0.0411%17 May →
mirage0–13-0.0814%17 May →
ancient13–110.0314%9 May →
inferno15–15-0.0023%9 May →
inferno13–11-0.0521%9 May →
mirage13–100.0617%9 May →
inferno11–130.0018%24 Apr →
inferno13–11-0.0115%24 Apr →
mirage13–80.0219%22 Apr →
nuke13–30.0710%22 Apr →
mirage10–13-0.0712%22 Apr →
inferno10–13-0.0614%7 Apr →
mirage8–13-0.0415%7 Apr →
nuke1–13-0.0820%24 Mar →
nuke13–50.0220%24 Mar →
ancient5–13-0.0613%3 Mar →
inferno11–13-0.0310%3 Mar →
nuke11–130.0112%2 Mar →
nuke13–70.0118%2 Mar →
mirage13–60.0415%2 Mar →
ancient13–9-0.018%2 Mar →
inferno13–30.0015%2 Mar →
inferno10–130.0617%27 Feb →
overpass7–130.0715%27 Feb →
nuke13–10.0212%26 Feb →
anubis5–13-0.059%26 Feb →
ancient6–13-0.0416%26 Feb →
nuke13–40.0217%26 Feb →
inferno13–10.0513%26 Feb →
inferno10–130.0019%24 Feb →
inferno8–130.0524%24 Feb →
mirage13–20.0217%24 Feb →
inferno3–13-0.086%23 Feb →
mirage13–40.0417%23 Feb →

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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