Elegantti

Elegantti — CS2 Stats

76561197996691986[U:1:36426258]Steam profile ↗✓ No bans

2,958Tracked matches53%Win rate2020Tracked since
3,551Hours in CS
CSDB Rating6.6 SolidSupport
Premier CS Rating22,957Top 25% of 213,211 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#44140 of 259895 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 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: 22,957 -624 1 Aug – 3 Nov · 24 days played
21,80324,024peak 24,0241 Aug3 Nov
24,138Peak Premier in tracked matches
42Days played since 2026-06-23

Premier CS Rating

  • 1,067 below peak (24,024)
  • -1,067 over 30 days · declining
  • -482 over 90 days
  • Next: Red band at 25,000 — 2,043 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 rate47.4%48.2%50.9%3.5% short
Shot accuracy18.1%13.2%13.7%above
Kill/death ratio1.171.071.09above
Match win rate50.3%46.9%48.4%above

This profile matches the typical Level 10 player on 3 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.GGEleganttiFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,957 · 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

Aim82
Positioning61
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWWWLLWLLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −1.7pp headshot accuracy · +38ms 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 18%
  • Avg reaction 525ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 509ms

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 (+2.6 against its own average).

Aim8.2
Utility7.1
Positioning6.1
Opening Duels1.4
Clutch3.6

Strong CT-side opener

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

iM

Plays most like iM 77% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: 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 →

CSDB Rating breakdown

Aim8.2
Positioning6.1
Utility7.1
Mechanics4.9
Opening Duels3.7
Win Impact6.1

Composite 6.6/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time506ms−27ms
first ⅓ avg 533ms → last ⅓ avg 506ms
Headshot accuracy21.6%+2.1%
first ⅓ avg 19.5% → last ⅓ avg 21.6%

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

0.12Best match rating · 3–6 · nuke, 5 Aug →
48%Best headshot accuracy · 11–4 · inferno, 6 Aug →
344msFastest reaction time · 11–13 · nuke, 12 Sept →
13–1Biggest win · dust2, 2 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
11–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 64% over 14dust2Weakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
dust2C239–1439%0.01
infernoB209–1145%-0.00
nukeB157–847%0.04
mirageA149–564%-0.00
cacheA116–555%0.01
ancientC94–544%-0.01
anubisB84–450%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

182,678Lifetime kills
1.17K/D · Top 50% of Level 9 players
8,600Matches
50.3%Match win rate · Top 25% of Level 9 players
47.4%Headshot %
18.1%Shot accuracy · Top 25% of Level 9 players
23,106MVPs
3,551Hours (in match)
10,025Bombs planted
2,373Bombs defused

Most-used weapons

AK-4749,507
AWP12,585
P905,635
MP94,865
MAC-104,678

Lifetime map wins

16,691inferno
8,380nuke
8,328dust2
5,675train
3,870vertigo
1,618cbble
929lake
519office

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

Faceit stats

Combat

1,417Matches
51%Win rate
1.09Avg K/D
85.3ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7358%1.2416.9
Dust24356%1.3417.6
Inferno3540%1.0315.6
Anubis3549%1.2615.7
Ancient2756%1.1816.9
Nuke2544%1.2218.0
Cache967%1.3717.0
Vertigo743%1.0218.4

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.

21.0%Headshot accuracy
39.2%Accuracy (enemy spotted)
39.3%Spray accuracy
72.3%Counter-strafing
9.8°Preaim
507msReaction time
40.9%T opening success
48.5%CT opening success
0.56Enemies flashed / flash
5.3%Flash assists
11.44HE damage / grenade
15.17Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0019%3 Nov →
dust213–10.0217%2 Nov →
anubis13–20.0824%2 Nov →
anubis10–130.0412%1 Nov →
inferno8–11-0.0316%31 Oct →
ancient13–50.0218%30 Oct →
nuke2–13-0.0426%29 Oct →
dust24–13-0.0021%29 Oct →
anubis13–70.0110%29 Oct →
nuke9–130.0220%28 Oct →
inferno8–13-0.0717%28 Oct →
mirage13–90.0212%27 Oct →
anubis13–11-0.019%21 Oct →
dust211–13-0.0621%21 Oct →
dust213–60.0631%15 Oct →
ancient9–13-0.0125%14 Oct →
dust27–13-0.0628%14 Oct →
dust24–13-0.0621%13 Oct →
mirage13–2-0.0118%12 Oct →
dust28–13-0.0316%12 Oct →
mirage9–13-0.0430%12 Oct →
inferno10–13-0.0232%12 Oct →
mirage11–130.0024%30 Sept →
nuke16–140.0131%30 Sept →
dust213–90.0124%24 Sept →
inferno13–80.0317%23 Sept →
dust213–60.0033%22 Sept →
nuke13–40.0838%22 Sept →
mirage19–16-0.0111%16 Sept →
ancient13–100.0019%16 Sept →
inferno13–80.0223%12 Sept →
nuke11–130.0228%12 Sept →
mirage13–1-0.0022%10 Sept →
cache8–13-0.0322%8 Sept →
mirage13–110.0217%3 Sept →
dust213–110.0420%2 Sept →
nuke5–130.0221%2 Sept →
cache13–30.0924%26 Aug →
mirage13–6-0.0416%26 Aug →
dust217–19-0.0117%25 Aug →
dust210–13-0.0124%24 Aug →
nuke5–90.0538%24 Aug →
anubis8–13-0.0112%22 Aug →
dust24–130.0119%16 Aug →
inferno13–110.056%7 Aug →
inferno11–4-0.0148%6 Aug →
cache13–30.0414%6 Aug →
ancient15–150.0321%6 Aug →
nuke3–60.1228%5 Aug →
cache13–8-0.0224%5 Aug →
cache0–13-0.0626%5 Aug →
anubis13–50.0123%4 Aug →
nuke10–130.1034%4 Aug →
inferno13–110.0222%4 Aug →
cache13–110.0725%4 Aug →
cache13–70.0526%4 Aug →
inferno12–160.0019%3 Aug →
nuke13–70.1023%3 Aug →
cache10–130.0132%3 Aug →
inferno14–160.0210%3 Aug →
cache14–160.0125%3 Aug →
anubis7–13-0.0617%2 Aug →
ancient13–110.0222%2 Aug →
inferno6–13-0.1029%2 Aug →
ancient0–13-0.0440%2 Aug →
mirage13–100.0428%2 Aug →
mirage14–16-0.0019%2 Aug →
dust213–20.0516%2 Aug →
cache11–13-0.1110%2 Aug →
anubis9–130.1225%2 Aug →
mirage13–50.0327%1 Aug →
mirage13–8-0.0318%1 Aug →
inferno13–8-0.0116%1 Aug →
nuke13–60.0911%1 Aug →
dust213–40.0430%1 Aug →
inferno8–130.0424%1 Aug →
dust25–130.0318%1 Aug →
dust26–130.0114%1 Aug →
nuke16–13-0.0225%31 Jul →
ancient11–13-0.037%31 Jul →
dust210–13-0.0122%31 Jul →
dust213–100.0544%31 Jul →
dust211–13-0.0123%31 Jul →
inferno3–13-0.0514%31 Jul →
ancient10–13-0.0518%30 Jul →
cache13–80.0233%30 Jul →
nuke13–110.0525%30 Jul →
inferno16–14-0.0115%30 Jul →
dust213–90.0113%30 Jul →
dust211–130.0517%16 Jul →
inferno13–110.1015%16 Jul →
mirage7–130.0120%15 Jul →
inferno0–9-0.1015%15 Jul →
inferno5–130.0123%14 Jul →
inferno13–90.0428%13 Jul →
inferno10–130.0216%13 Jul →
mirage8–13-0.0412%13 Jul →
nuke2–13-0.079%13 Jul →
dust25–130.0225%23 Jun →
ancient13–5-0.0716%23 Jun →

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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