djurdj1na

djurdj1na — CS2 Stats

RS76561198297921663[U:1:337655935]Steam profile ↗✓ No bans

1,276Tracked matches57%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating27,625Top 5% of 180,525 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#3223 of 226074 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 27,625 → 27,625
+7Tracked matches · now 1,276
−13.3ppWin rate · 70.0% → 56.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 21 Feb 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 27,625 +749 15 Jun18 Sept · 5 days played
26,87627,625peak 27,62515 Jun18 Sept
27,625Peak Premier in tracked matches
44Days played since 2026-02-21

Premier CS Rating

  • At peak — 27,625
  • 0 over 90 days
  • Next: Gold band at 30,000 2,375 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

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

Share this profile

CSDB.GGdjurdj1naFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER27,625 · Red 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

Aim55
Positioning43
Utility49

0–100 skill scores via Leetify.

Recent form

COLD55387Last 10055%Win rateWLLLLLWLWL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · +2.4pp headshot accuracy · −95ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 466ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 507ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 555ms

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: SupportUtility contribution stands above the rest of this profile (+1.2 against its own average).

Aim5.5
Utility4.9
Positioning4.3
Opening Duels0.9
Clutch4.6

Limited 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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim 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

Areas to improve

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.5
Positioning4.3
Utility4.9
Mechanics2.8
Opening Duels0.5
Win Impact7.2

Composite 4.7/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time538ms−16ms
first ⅓ avg 554ms → last ⅓ avg 538ms
Headshot accuracy19.6%+3.5%
first ⅓ avg 16.1% → last ⅓ avg 19.6%

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

0.18Best match rating · 5–0 · cache, 5 Sept
45%Best headshot accuracy · 9–1 · inferno, 11 Jun
352msFastest reaction time · 7–1 · anubis, 1 Sept
13–0Biggest win · inferno, 11 Jun

Across the last 100 tracked matches.

Highlights

7Longest win streak
69In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 80% over 5dust2Weakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA2415963%0.01
cacheB21111052%0.03
dust2C2081240%-0.00
ancientS96367%0.03
infernoC94544%-0.00
anubisA85363%0.01
vertigoS54180%0.03
nuke31233%-0.04
train110100%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

426Matches
52%Win rate
1.19Avg K/D
90.7ADR
43%Headshot %

Clutches & streaks

43%1v1 clutch win
16%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2352%1.2617.5
Inferno2045%1.3217.8
Mirage1861%1.1515.8
Ancient1429%1.0716.3
Vertigo1182%0.9918.0
Dust21070%1.0912.4
Nuke250%1.0823.5
Overpass10%0.8517.0

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.

19.8%Headshot accuracy
30.8%Accuracy (enemy spotted)
37.3%Spray accuracy
62.7%Counter-strafing
10.6°Preaim
544msReaction time
21.1%T opening success
33.7%CT opening success
0.63Enemies flashed / flash
8.4%Flash assists
6.55HE damage / grenade
4.85Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 21.1334% — below the 40% mark we flag

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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–00.1829%5 Sept
dust29–130.0129%2 Sept
cache2–3-0.010%2 Sept
ancient8–13-0.0115%2 Sept
mirage4–13-0.0226%1 Sept
dust210–13-0.0321%1 Sept
anubis7–10.0312%1 Sept
inferno1–13-0.067%12 Jul
mirage16–13-0.0128%22 Jun
mirage4–13-0.0938%15 Jun
inferno7–130.0020%15 Jun
anubis13–6-0.029%15 Jun
mirage13–11-0.0322%15 Jun
mirage13–4-0.0313%15 Jun
mirage13–10.1235%15 Jun
mirage7–13-0.0126%15 Jun
cache5–13-0.0416%14 Jun
inferno11–13-0.008%13 Jun
mirage13–7-0.0512%12 Jun
dust213–80.0220%12 Jun
cache13–11-0.016%11 Jun
mirage6–13-0.0515%11 Jun
mirage13–8-0.0122%11 Jun
mirage7–3-0.0312%11 Jun
inferno9–10.0445%11 Jun
inferno13–00.000%11 Jun
dust213–11-0.0332%11 Jun
dust211–13-0.0324%9 Jun
dust213–60.0620%9 Jun
ancient13–60.0420%9 Jun
nuke13–7-0.0316%4 Jun
mirage13–20.0634%4 Jun
cache13–100.0416%16 May
cache12–10.0916%16 May
cache13–40.1116%15 May
dust28–13-0.0412%13 May
mirage13–4-0.0220%13 May
mirage9–13-0.0411%12 May
cache13–20.0311%12 May
cache13–100.1419%10 May
mirage13–110.0423%8 May
cache3–130.0417%8 May
cache12–120.0111%8 May
cache13–9-0.0312%8 May
cache12–120.0322%7 May
cache13–10.0713%7 May
cache13–80.0124%6 May
dust29–130.0415%5 May
cache9–13-0.0111%5 May
cache13–50.0213%5 May
dust26–13-0.0323%2 May
mirage13–110.1517%1 May
cache6–130.0116%1 May
cache8–13-0.0114%29 Apr
cache11–130.0824%29 Apr
dust211–13-0.0419%29 Apr
mirage13–2-0.0020%29 Apr
cache12–12-0.055%29 Apr
dust212–120.0217%28 Apr
mirage13–50.0619%28 Apr
ancient13–20.0513%28 Apr
mirage12–12-0.0120%28 Apr
ancient13–10.0518%27 Apr
dust212–120.0227%27 Apr
anubis13–5-0.0322%27 Apr
mirage4–130.0120%24 Apr
anubis13–10-0.0219%23 Apr
mirage12–12-0.0717%20 Apr
dust213–70.0221%20 Apr
anubis11–13-0.007%19 Apr
dust213–10-0.0117%18 Apr
mirage10–130.0411%17 Apr
anubis1–130.0317%17 Apr
ancient13–50.1517%17 Apr
dust213–80.0116%17 Apr
ancient13–50.007%17 Apr
vertigo11–130.026%17 Apr
anubis13–80.1213%16 Apr
vertigo13–30.083%16 Apr
inferno10–13-0.0423%16 Apr
dust22–13-0.0511%16 Apr
ancient13–8-0.0431%16 Apr
dust22–130.0116%15 Apr
dust213–60.0224%15 Apr
mirage13–70.1320%15 Apr
ancient9–130.0014%14 Apr
inferno13–60.0221%14 Apr
anubis11–13-0.0012%14 Apr
dust26–13-0.0517%10 Apr
mirage13–10.0714%6 Apr
dust213–60.0218%19 Mar
train11–40.0011%17 Mar
inferno13–60.0118%17 Mar
inferno5–13-0.0113%13 Mar
nuke11–13-0.088%12 Mar
vertigo13–0-0.0231%12 Mar
vertigo13–7-0.0110%8 Mar
nuke8–13-0.0225%8 Mar
vertigo13–110.0624%28 Feb
ancient5–130.0018%21 Feb

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 →