Dschulieen

Dschulieen — CS2 Stats

AT76561198239559538[U:1:279293810]Steam profile ↗✓ No bans

1,132Tracked matches60%Win rate2020Tracked since
3,436Hours in CS3Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating24,558Top 25% of 200,982 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#25897 of 247904 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 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: 24,558 +2,672 14 Jun – 29 Sept · 34 days played
20,49624,558peak 24,55814 Jun29 Sept
Faceit ELO: 2,053 +0 1 Sept – 20 Sept · 3 observations
2,0532,053peak 2,0531 Sept20 Sept
24,558Peak Premier in tracked matches
2,053Highest Faceit ELO seen on CSDB
38Days played since 2026-06-14

Faceit ELO

  • At peak — 2,053
  • Next: 2,500 ELO at 2,500 — 447 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • At peak — 24,558
  • +1,663 over 30 days · improving
  • +3,693 over 90 days
  • Next: Red band at 25,000 — 442 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches8——
Win rate88%——
K/D1.22——
Headshot %41%——

Measured 1 Sep 2026 → 1 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate32.7%46.9%49.2%16.5% short
Shot accuracy12.5%13.0%13.4%0.9% short
Kill/death ratio0.891.081.120.24 short
Match win rate45.4%46.7%48.5%3.1% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GGDschulieenPREMIER24,558 · Pink bandPEAK ELO2,053csdb.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

Aim73
Positioning59
Utility41

0–100 skill scores via Leetify.

Recent form

HOT52–48Last 10052%Win rateWWWWWWWLLW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −1.2pp headshot accuracy · +40ms reaction

Win rate up 40pp 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

  • 5–0 · 100% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 534ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 525ms

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 (+1.4 against its own average).

Aim7.3
Utility4.1
Positioning5.9
Opening Duels3.3
Clutch4.8

Strong T-side openerLimited utility dependence

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 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 51% on T to 33% on CT — first contacts on the defending side are being lost.

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

Aim7.3
Positioning5.9
Utility4.1
Mechanics5.1
Opening Duels3.0
Win Impact8.3

Composite 6.0/10 (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 time540ms−21ms
first ⅓ avg 561ms → last ⅓ avg 540ms
Headshot accuracy16.6%+0.2%
first ⅓ avg 16.3% → last ⅓ avg 16.6%

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

0.16Best match rating · 11–13 · cache, 10 Jul →
40%Best headshot accuracy · 1–13 · cache, 2 Aug →
391msFastest reaction time · 7–13 · dust2, 23 Aug →
13–1Biggest win · mirage, 23 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
7–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 71% over 7anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
cacheA2212–1055%0.01
dust2C219–1243%-0.01
mirageA2011–955%0.01
anubisC135–838%-0.01
infernoS75–271%0.01
ancientC73–443%0.01
nukeS75–271%-0.01
overpass—21–150%0.03
shelter—11–0100%0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,020Lifetime kills
0.89K/D
3,735Matches
45.4%Match win rate
32.7%Headshot %
12.5%Shot accuracy
8,237MVPs
1,451Hours (in match)
4,504Bombs planted
905Bombs defused

Most-used weapons

AK-4718,379
AWP4,921
MP91,507
P901,404
P2501,344
UMP-451,258

Lifetime map wins

2,170dust2
2,151nuke
1,781inferno
1,540cbble
1,116vertigo
899office
621train
259lake

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

Faceit stats

Combat

387Matches
55%Win rate
1.02Avg K/D
86.6ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4747%1.1817.8
Anubis3444%1.0114.5
Overpass1953%1.1718.4
Dust21867%1.0415.2
Ancient1753%1.0516.6
Vertigo1638%1.2115.6
Inferno967%1.2715.8
Nuke944%0.9415.4

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.

15.7%Headshot accuracy
35.4%Accuracy (enemy spotted)
41.6%Spray accuracy
72.9%Counter-strafing
9.0°Preaim
536msReaction time
50.8%T opening success
32.9%CT opening success
0.52Enemies flashed / flash
1.7%Flash assists
9.42HE damage / grenade
4.54Flashes / 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 32.8885% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–60.0212%29 Sept →
inferno13–10-0.0215%27 Sept →
cache13–100.0312%21 Sept →
dust216–140.0017%11 Sept →
mirage13–6-0.0618%5 Sept →
mirage13–100.0517%30 Aug →
anubis16–130.0516%30 Aug →
cache9–130.0517%29 Aug →
mirage13–16-0.0411%29 Aug →
inferno13–70.0319%28 Aug →
mirage13–11-0.0110%28 Aug →
ancient16–140.0220%28 Aug →
dust24–130.0120%27 Aug →
shelter13–40.0836%27 Aug →
cache6–13-0.0514%27 Aug →
nuke4–13-0.045%27 Aug →
ancient6–13-0.059%26 Aug →
cache9–130.0120%25 Aug →
mirage13–10.1013%23 Aug →
dust27–13-0.0720%23 Aug →
nuke13–11-0.0314%16 Aug →
cache8–13-0.0421%10 Aug →
nuke13–100.008%8 Aug →
cache13–100.0318%8 Aug →
cache13–100.0411%8 Aug →
anubis7–13-0.096%7 Aug →
inferno8–13-0.0116%7 Aug →
dust213–70.0220%7 Aug →
ancient13–10.0518%2 Aug →
cache1–13-0.0340%2 Aug →
mirage11–130.0617%2 Aug →
mirage6–13-0.0415%1 Aug →
cache3–2-0.0420%1 Aug →
mirage13–90.0115%29 Jul →
dust213–50.0516%28 Jul →
inferno13–90.0016%27 Jul →
dust23–130.0025%25 Jul →
cache4–13-0.096%25 Jul →
cache13–70.0013%25 Jul →
cache13–10.0821%25 Jul →
cache13–80.0213%25 Jul →
inferno16–13-0.0017%25 Jul →
mirage16–13-0.0023%24 Jul →
dust29–13-0.0125%22 Jul →
cache4–13-0.0326%22 Jul →
anubis13–100.0830%22 Jul →
dust213–5-0.079%21 Jul →
dust29–13-0.0613%21 Jul →
mirage13–7-0.0215%21 Jul →
cache10–130.0016%21 Jul →
anubis13–8-0.0510%21 Jul →
cache10–13-0.0416%19 Jul →
anubis0–130.020%19 Jul →
dust213–20.0212%19 Jul →
mirage13–50.0915%19 Jul →
inferno9–130.0716%19 Jul →
cache13–100.0319%18 Jul →
nuke13–9-0.0814%18 Jul →
dust213–10-0.0120%18 Jul →
dust214–16-0.0332%18 Jul →
cache13–110.0213%17 Jul →
dust23–13-0.0715%17 Jul →
anubis13–90.018%17 Jul →
dust25–13-0.0224%17 Jul →
mirage13–60.0518%17 Jul →
anubis7–13-0.0717%17 Jul →
cache13–10-0.0014%17 Jul →
mirage11–130.0516%12 Jul →
nuke13–10-0.0222%12 Jul →
ancient9–130.078%12 Jul →
dust28–13-0.0524%12 Jul →
cache16–130.0419%11 Jul →
dust213–70.0011%11 Jul →
dust213–100.0518%11 Jul →
cache13–2-0.0311%10 Jul →
cache11–130.1616%10 Jul →
mirage8–130.0215%10 Jul →
mirage6–13-0.063%10 Jul →
dust213–20.1015%10 Jul →
ancient6–13-0.066%10 Jul →
anubis8–130.0421%2 Jul →
mirage14–160.0419%1 Jul →
ancient6–13-0.0514%1 Jul →
anubis7–13-0.078%1 Jul →
dust23–13-0.1011%1 Jul →
overpass6–13-0.0421%30 Jun →
dust26–130.0215%30 Jun →
mirage13–11-0.0217%30 Jun →
anubis11–130.0415%30 Jun →
dust23–13-0.0323%29 Jun →
anubis9–13-0.0412%29 Jun →
ancient13–40.0728%28 Jun →
overpass13–100.1017%28 Jun →
mirage13–60.0413%28 Jun →
nuke10–130.0620%28 Jun →
mirage2–13-0.0325%15 Jun →
anubis6–13-0.0817%15 Jun →
anubis13–60.0113%15 Jun →
nuke13–100.0628%15 Jun →
mirage6–13-0.0719%14 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K 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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