Django

Django — CS2 Stats

AU76561198001223059[U:1:40957331]Steam profile ↗✓ No bans

2,978Tracked matches43%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating20,597Top 50% of 204,150 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#72180 of 251230 tracked
FaceitLevel 9 · 1,700 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 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: 20,597 -6,512 24 Jun – 10 Oct · 33 days played
20,15727,238peak 27,23824 Jun10 Oct
27,238Peak Premier in tracked matches
1,700Highest Faceit ELO seen on CSDB
60Days played since 2026-06-24

Faceit ELO

  • At peak — 1,700
  • Next: Level 9 at 1,751 — 51 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-17
  • Level 7 first seen 2026-09-17

Premier CS Rating

  • 6,641 below peak (27,238)
  • -257 over 30 days · steady
  • -1,120 over 90 days
  • Next: Red band at 25,000 — 4,403 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

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.

Share this profile

CSDB.GGDjangoFACEITLevel 9 · 1,700 ELOSTANDINGTop 20.7% of rankedPREMIER20,597 · Pink bandPEAK ELO1,700csdb.gg/stats

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Performance scores

Aim82
Positioning64
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateLWWWLLWLLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −5.3pp headshot accuracy · +72ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 605ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 569ms

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 (+1.7 against its own average).

Aim8.2
Utility6.0
Positioning6.4
Opening Duels2.4
Clutch4.0

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

ZywOo

Plays most like ZywOo 88% 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 →

CSDB Rating breakdown

Aim8.2
Positioning6.4
Utility6.0
Mechanics7.6
Opening Duels5.9
Win Impact2.8

Composite 6.8/10 (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 time550ms−37ms
first ⅓ avg 587ms → last ⅓ avg 550ms
Headshot accuracy18.6%−3.3%
first ⅓ avg 21.9% → last ⅓ avg 18.6%

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

0.25Best match rating · 13–2 · mirage, 10 Oct →
50%Best headshot accuracy · 2–13 · dust2, 13 Aug →
414msFastest reaction time · 8–13 · inferno, 19 Jul →
13–2Biggest win · mirage, 10 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 57% over 21ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B3217–1553%-0.01
mirageA2112–957%0.02
cacheC145–936%0.01
ancientD133–1023%-0.01
anubisD72–529%0.04
infernoC73–443%0.01
nukeB63–350%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,197Matches
52%Win rate
1.12Avg K/D
80.0ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage13846%1.0815.1
Dust211156%1.1515.7
Ancient9249%1.1616.9
Anubis9156%1.1115.5
Inferno7151%1.0315.4
Vertigo4248%1.0215.4
Nuke1953%1.0516.2
Cache1644%1.1116.0

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.

19.1%Headshot accuracy
35.9%Accuracy (enemy spotted)
34.8%Spray accuracy
84.2%Counter-strafing
7.7°Preaim
550msReaction time
59.9%T opening success
47.6%CT opening success
0.65Enemies flashed / flash
3.9%Flash assists
11.29HE damage / grenade
9.06Flashes / match

Recommended for you

Spend your practice time on Ancient

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–130.0117%10 Oct →
mirage13–20.2535%10 Oct →
mirage13–10-0.0317%7 Oct →
dust213–8-0.0026%7 Oct →
cache6–13-0.0310%7 Oct →
ancient0–5-0.080%7 Oct →
dust213–110.0511%6 Oct →
dust20–8-0.0325%4 Oct →
cache11–130.027%4 Oct →
ancient4–13-0.0915%4 Oct →
nuke11–130.0420%3 Oct →
mirage13–100.0327%3 Oct →
mirage7–130.0320%3 Oct →
mirage2–13-0.0425%2 Oct →
anubis6–130.0024%30 Sept →
cache7–130.0015%29 Sept →
mirage7–13-0.0521%27 Sept →
dust213–8-0.0120%25 Sept →
inferno13–90.0228%24 Sept →
mirage13–40.0616%21 Sept →
dust222–18-0.0521%20 Sept →
dust26–130.0217%20 Sept →
dust28–130.0824%16 Sept →
dust213–8-0.0213%13 Sept →
ancient13–100.0318%12 Sept →
dust28–13-0.1233%10 Sept →
cache6–13-0.0414%10 Sept →
dust27–13-0.0419%5 Sept →
mirage13–40.000%5 Sept →
cache13–100.0618%4 Sept →
mirage4–130.0511%3 Sept →
dust28–13-0.0321%2 Sept →
mirage11–13-0.0224%1 Sept →
dust21–13-0.0821%27 Aug →
dust211–13-0.0718%25 Aug →
cache13–110.0021%23 Aug →
mirage10–13-0.0423%23 Aug →
inferno8–13-0.0319%21 Aug →
ancient13–40.1114%16 Aug →
dust213–9-0.0320%14 Aug →
mirage13–11-0.0317%13 Aug →
dust22–13-0.0550%13 Aug →
mirage13–90.0832%12 Aug →
nuke13–8-0.0517%8 Aug →
ancient13–9-0.019%8 Aug →
nuke8–130.0621%7 Aug →
dust213–70.0110%7 Aug →
cache0–7-0.0333%4 Aug →
dust213–4-0.0128%2 Aug →
dust213–50.0118%2 Aug →
dust213–70.0918%1 Aug →
anubis6–130.0212%1 Aug →
dust211–13-0.0710%31 Jul →
nuke13–80.0915%31 Jul →
cache2–13-0.0027%31 Jul →
mirage13–70.0217%26 Jul →
dust213–90.0716%22 Jul →
anubis13–110.0220%21 Jul →
ancient4–130.0433%21 Jul →
ancient10–130.0622%20 Jul →
inferno8–130.0229%19 Jul →
cache5–130.0530%19 Jul →
inferno11–130.0319%19 Jul →
dust213–6-0.0613%15 Jul →
cache13–90.1323%15 Jul →
dust20–13-0.080%15 Jul →
anubis12–16-0.0123%14 Jul →
dust213–4-0.0430%14 Jul →
inferno13–4-0.0219%13 Jul →
mirage13–10-0.0021%12 Jul →
cache13–100.0516%12 Jul →
mirage13–90.2013%11 Jul →
inferno13–100.0621%11 Jul →
ancient5–130.0024%11 Jul →
dust210–130.0216%11 Jul →
dust210–20.0032%11 Jul →
anubis11–13-0.0113%10 Jul →
cache13–70.1027%10 Jul →
cache7–13-0.0810%9 Jul →
mirage7–13-0.0626%6 Jul →
ancient8–13-0.0626%5 Jul →
inferno6–130.0048%5 Jul →
ancient6–13-0.0322%4 Jul →
dust29–13-0.0125%4 Jul →
nuke13–11-0.0324%4 Jul →
ancient5–13-0.0224%4 Jul →
anubis11–130.0420%4 Jul →
mirage13–10-0.0217%3 Jul →
mirage11–13-0.0724%2 Jul →
dust213–60.0433%2 Jul →
cache6–13-0.0417%1 Jul →
dust27–13-0.0916%1 Jul →
dust213–60.0218%30 Jun →
ancient4–13-0.0123%29 Jun →
mirage13–5-0.0213%28 Jun →
anubis13–40.2124%27 Jun →
nuke8–13-0.0228%27 Jun →
ancient9–13-0.0217%27 Jun →
dust28–130.0119%25 Jun →
dust213–50.1219%24 Jun →

Match data via Leetify.

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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