eurodanceri

eurodanceri — CS2 Stats

76561198174850785[U:1:214585057]Steam profile ↗✓ No bans

1,609Tracked matches59%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating25,122Top 10% of 213,211 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#19951 of 259938 tracked
FaceitLevel 10 · 2,268 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (2 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: 25,122 +3,575 25 Dec – 2 Nov · 19 days played
20,94525,122peak 25,12225 Dec2 Nov
25,122Peak Premier in tracked matches
2,268Highest Faceit ELO seen on CSDB
30Days played since 2025-12-25

Faceit ELO

  • At peak — 2,268
  • Next: 2,500 ELO at 2,500 — 232 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • At peak — 25,122
  • Next: Gold band at 30,000 — 4,878 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGeurodanceriFACEITLevel 10 · 2,268 ELOSTANDINGTop 12.4% of rankedPREMIER25,122 · Red bandPEAK ELO2,268csdb.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
Positioning62
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateWWLWWLLWLW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −1.6pp headshot accuracy · −11ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 575ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 543ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 548ms

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).

Aim8.2
Utility6.1
Positioning6.2
Opening Duels2.0
Clutch3.4

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 88% playstyle similarity

Most alike: utility contribution, aim 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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 550ms 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

Aim8.2
Positioning6.2
Utility6.1
Mechanics6.5
Opening Duels4.2
Win Impact7.9

Composite 7.1/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time551ms−46ms
first ⅓ avg 596ms → last ⅓ avg 551ms
Headshot accuracy16.2%+0.2%
first ⅓ avg 16.0% → last ⅓ avg 16.2%

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

0.17Best match rating · 13–7 · dust2, 22 Oct →
33%Best headshot accuracy · 13–8 · dust2, 4 Jan →
406msFastest reaction time · 13–4 · nuke, 2 Nov →
13–2Biggest win · dust2, 13 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 69% over 16mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB2211–1150%0.02
ancientC188–1044%0.02
dust2S1611–569%0.03
infernoB126–650%0.01
cacheB115–645%-0.01
anubisB84–450%0.02
mirageD72–529%0.02
train—42–250%-0.00
overpass—21–150%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

846Matches
53%Win rate
1.23Avg K/D
88.8ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient5258%1.5119.0
Nuke5165%1.4419.1
Inferno4042%1.2716.8
Anubis2839%1.1817.6
Vertigo2638%1.1317.7
Dust22245%1.2518.1
Mirage1040%1.1318.1
Train475%1.2416.3

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.

16.2%Headshot accuracy
38.5%Accuracy (enemy spotted)
45.2%Spray accuracy
79.4%Counter-strafing
8.9°Preaim
550msReaction time
54.6%T opening success
39.1%CT opening success
0.65Enemies flashed / flash
7.6%Flash assists
6.83HE damage / grenade
10.41Flashes / 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 39.1464% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–40.0514%2 Nov →
mirage13–9-0.0419%2 Nov →
cache12–16-0.0519%30 Oct →
ancient13–60.0321%30 Oct →
nuke13–5-0.0513%30 Oct →
anubis8–13-0.0320%30 Oct →
cache5–130.0218%30 Oct →
dust213–110.0813%30 Oct →
dust211–130.0211%30 Oct →
ancient13–30.0612%30 Oct →
cache13–60.1317%25 Oct →
inferno13–7-0.0117%23 Oct →
inferno7–130.0119%23 Oct →
nuke13–10-0.0212%23 Oct →
anubis13–50.1111%23 Oct →
anubis13–30.0312%23 Oct →
nuke4–90.0718%23 Oct →
cache3–13-0.0225%23 Oct →
ancient11–130.0319%22 Oct →
dust213–70.1725%22 Oct →
dust213–70.0311%22 Oct →
nuke10–13-0.0612%22 Oct →
inferno9–5-0.0124%22 Oct →
mirage13–60.0616%16 Oct →
nuke5–13-0.0519%21 Aug →
cache1–13-0.106%18 Jul →
ancient8–13-0.0116%16 Jul →
ancient15–15-0.0319%11 Jul →
cache13–6-0.0217%11 Jul →
nuke13–11-0.0016%11 Jul →
dust213–80.0616%11 Jul →
inferno13–8-0.019%11 Jul →
cache13–60.0218%11 Jul →
cache7–13-0.009%11 Jul →
dust213–90.0730%11 Jul →
nuke8–13-0.046%10 Jul →
ancient9–13-0.0015%10 Jul →
anubis13–70.0719%10 Jul →
mirage3–13-0.018%10 Jul →
inferno6–130.0123%10 Jul →
inferno13–10-0.0117%10 Jul →
dust210–13-0.0320%10 Jul →
cache10–13-0.0617%10 Jul →
anubis13–8-0.002%10 Jul →
nuke13–80.0823%10 Jul →
cache13–5-0.0010%10 Jul →
ancient5–13-0.0721%10 Jul →
ancient13–110.0211%9 Jul →
cache16–140.0018%9 Jul →
inferno7–130.0523%9 Jul →
mirage9–13-0.0124%5 Jul →
ancient2–130.048%5 Jul →
anubis5–13-0.0121%2 Jul →
nuke13–3-0.0220%29 Jun →
ancient5–20.0915%29 Jun →
dust215–15-0.0113%29 Jun →
nuke13–80.1219%28 Jun →
nuke13–16-0.0327%25 Jun →
dust213–50.0415%25 Jun →
anubis3–13-0.087%25 Jun →
ancient13–70.039%24 Jun →
nuke15–150.0116%18 Jun →
ancient13–100.029%18 Jun →
nuke11–130.0332%17 Jan →
anubis9–130.038%17 Jan →
train6–10.0115%16 Jan →
ancient8–130.0220%16 Jan →
inferno14–16-0.0116%13 Jan →
dust213–20.039%13 Jan →
nuke10–13-0.0421%13 Jan →
nuke19–160.0213%9 Jan →
nuke15–15-0.019%5 Jan →
dust213–7-0.0311%5 Jan →
ancient11–130.0418%5 Jan →
overpass13–2-0.0215%5 Jan →
inferno13–100.1218%5 Jan →
train5–13-0.027%5 Jan →
dust23–13-0.0722%5 Jan →
inferno13–6-0.0019%4 Jan →
ancient13–90.0617%4 Jan →
dust213–80.0733%4 Jan →
train9–13-0.0414%4 Jan →
train13–50.0422%3 Jan →
dust213–110.0620%3 Jan →
mirage14–160.0416%3 Jan →
nuke9–13-0.026%3 Jan →
mirage8–130.0716%2 Jan →
ancient13–40.0022%2 Jan →
nuke13–30.1420%2 Jan →
overpass8–13-0.0721%2 Jan →
inferno15–15-0.0217%2 Jan →
nuke13–80.0411%2 Jan →
ancient4–13-0.0313%1 Jan →
nuke16–130.068%1 Jan →
mirage7–130.016%27 Dec →
dust23–13-0.0523%27 Dec →
inferno10–13-0.0019%27 Dec →
dust213–30.0317%27 Dec →
nuke15–150.0914%25 Dec →
ancient14–160.0112%25 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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