Django

Django — CS2 Stats

DK76561198803680855[U:1:843415127]Steam profile ↗✓ No bans

1,187Tracked matches46%Win rate2020Tracked since
2,998Hours in CS
CSDB Rating4.9 DevelopingAll-Rounder
FaceitLevel 9 · 1,940 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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 rate42.4%48.2%50.9%8.6% short
Shot accuracy18.6%13.2%13.7%above
Kill/death ratio0.821.071.090.27 short
Match win rate50.1%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGDjangoFACEITLevel 9 · 1,940 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning54
Utility57

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateTWLLLLLLLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +4.2pp headshot accuracy · −25ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 527ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 535ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating 0.00
  • 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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.2
Utility5.7
Positioning5.4
Opening Duels5.2
Clutch3.8

Effective flashes

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 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 70% 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

Aim6.2
Positioning5.4
Utility5.7
Mechanics4.4
Opening Duels3.7
Win Impact3.8

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time551ms+169ms
first ⅓ avg 381ms → last ⅓ avg 551ms
Headshot accuracy15.2%+3.0%
first ⅓ avg 12.2% → last ⅓ avg 15.2%

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

0.13Best match rating · 13–10 · mirage, 26 Mar →
45%Best headshot accuracy · 8–13 · vertigo, 3 Dec →
359msFastest reaction time · 12–12 · anubis, 22 Oct →
13–1Biggest win · overpass, 3 Jan →

Across the last 100 tracked matches.

Highlights

10Longest win streak
10–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 75% over 12ancientWeakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
ancientC239–1439%0.00
mirageB157–847%0.01
nukeS1510–567%-0.00
anubisS129–375%-0.00
vertigoC125–742%-0.03
infernoA95–456%0.01
overpassS75–271%-0.02
dust2—31–233%-0.02
train—22–0100%0.01
cache—10–10%-0.06
jura—11–0100%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

87,764Lifetime kills
0.82K/D
3,846Matches
50.1%Match win rate · Top 25% of Level 9 players
42.4%Headshot %
18.6%Shot accuracy · Top 10% of Level 9 players
10,247MVPs
2,998Hours (in match)
5,858Bombs planted
1,375Bombs defused

Most-used weapons

AK-4733,056
AWP6,928
Knife3,284
MP92,090
MAC-101,846
AUG1,553

Lifetime map wins

8,697inferno
6,317nuke
6,087vertigo
2,364train
1,786dust2
161cbble
27lake
22office

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

Faceit stats

Combat

2,415Matches
51%Win rate
0.90Avg K/D
77.7ADR
37%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient7443%1.0615.0
Mirage5746%1.0416.3
Anubis4650%0.9214.8
Nuke4549%1.0515.3
Inferno4146%1.0014.8
Dust23050%1.1115.7
Vertigo2442%0.6810.8
Overpass1947%1.2117.0

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.

15.3%Headshot accuracy
33.0%Accuracy (enemy spotted)
39.9%Spray accuracy
69.6%Counter-strafing
9.8°Preaim
549msReaction time
41.9%T opening success
47.6%CT opening success
0.71Enemies flashed / flash
9.1%Flash assists
9.73HE damage / grenade
7.91Flashes / 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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage15–150.0519%23 Oct →
nuke13–9-0.0125%3 Sept →
nuke10–13-0.0216%11 Jul →
ancient9–130.0020%11 Jul →
cache10–13-0.0618%11 Jul →
ancient11–130.0119%11 Jul →
ancient10–130.0414%3 Jul →
anubis10–130.0323%18 Jun →
ancient6–13-0.0410%9 Jun →
ancient13–30.1123%14 May →
mirage9–13-0.006%13 May →
mirage3–13-0.0619%12 May →
dust23–130.015%3 May →
mirage13–16-0.0111%3 May →
overpass13–110.049%26 Apr →
ancient3–13-0.0126%8 Apr →
mirage15–15-0.0117%8 Apr →
mirage13–100.1316%26 Mar →
inferno11–13-0.0721%25 Mar →
anubis13–11-0.0616%7 Feb →
vertigo13–9-0.0216%7 Feb →
overpass13–8-0.0413%5 Jan →
nuke13–70.0414%5 Jan →
nuke13–8-0.037%5 Jan →
nuke13–100.0315%4 Jan →
nuke13–80.109%4 Jan →
ancient7–13-0.0215%4 Jan →
overpass13–1-0.0111%3 Jan →
mirage13–80.0316%28 Nov →
ancient6–13-0.0010%8 Nov →
train13–7-0.0322%18 Oct →
vertigo13–80.059%18 Oct →
nuke13–11-0.0314%17 Oct →
nuke13–60.0018%17 Oct →
dust212–12-0.0511%17 Oct →
ancient13–30.0614%21 Sept →
mirage10–130.0321%17 Sept →
nuke13–100.0319%17 Sept →
inferno6–9-0.0415%25 Aug →
overpass19–16-0.0126%20 Aug →
ancient4–13-0.0611%28 Jul →
inferno5–130.0334%28 Jul →
inferno9–130.026%21 Jul →
jura13–11-0.0415%21 Jul →
anubis8–13-0.0712%11 Jul →
ancient13–9-0.029%8 Jul →
anubis13–11-0.029%20 Jun →
mirage13–10-0.0021%20 Jun →
ancient13–80.0714%5 Jun →
anubis13–7-0.0211%1 Jun →
ancient22–200.0212%26 May →
inferno13–70.0211%25 May →
ancient22–190.109%24 May →
overpass13–10-0.0523%12 May →
inferno13–110.0210%12 May →
vertigo3–13-0.0714%12 May →
inferno9–7-0.098%3 Apr →
dust213–10-0.0325%30 Mar →
ancient8–13-0.0516%22 Mar →
mirage13–90.0516%15 Mar →
nuke4–13-0.0110%11 Mar →
inferno13–50.0934%28 Feb →
anubis13–40.0918%16 Jan →
nuke3–13-0.090%12 Jan →
train13–30.0618%3 Jan →
nuke10–13-0.0014%20 Nov →
mirage13–40.0238%29 Oct →
anubis12–120.0621%22 Oct →
mirage7–13-0.0226%16 Oct →
mirage13–6-0.0217%14 Oct →
inferno13–40.096%3 May →
anubis13–40.000%18 Apr →
ancient6–130.000%17 Apr →
ancient13–20.000%16 Apr →
ancient13–6-0.058%9 Mar →
ancient14–160.000%4 Mar →
nuke13–10.000%4 Mar →
vertigo13–70.000%4 Mar →
ancient8–130.000%26 Feb →
anubis13–20.000%26 Feb →
ancient10–130.000%11 Feb →
anubis13–90.000%11 Feb →
overpass7–13-0.1133%8 Feb →
vertigo11–13-0.0213%1 Feb →
mirage16–130.0015%25 Jan →
nuke13–11-0.0218%21 Jan →
overpass14–160.0116%26 Dec →
vertigo5–13-0.0216%9 Dec →
vertigo8–13-0.0745%3 Dec →
vertigo11–13-0.0812%25 Nov →
ancient13–9-0.026%25 Nov →
anubis13–10-0.0223%24 Nov →
anubis13–8-0.0315%23 Nov →
mirage4–13-0.0714%20 Nov →
vertigo16–14-0.0514%18 Nov →
vertigo10–13-0.0413%18 Nov →
nuke9–13-0.0117%18 Nov →
ancient4–13-0.126%18 Nov →
vertigo13–60.0018%14 Nov →
vertigo5–13-0.0931%14 Nov →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.