DJ_Drifts

DJ_Drifts — CS2 Stats

76561198162181501[U:1:201915773]Steam profile ↗✓ No bans

273Tracked matches41%Win rate2023Tracked since
340Hours in CS0Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 273 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 7,923 +191 23 Apr – 1 Jun · 23 days played
5,0008,035peak 8,03523 Apr1 Jun
8,036Peak Premier in tracked matches
35Days played since 2026-04-23

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

Performance scores

Aim34
Positioning51
Utility39

0–100 skill scores via Leetify.

Recent form

COLD48–51–1Last 10048%Win rateLLTLWLLLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.4pp headshot accuracy · −67ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 580ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 618ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 652ms

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 (+2.2 against its own average).

Aim3.4
Utility3.9
Positioning5.1
Opening Duels2.7
Clutch0.0

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

jL

Plays most like jL 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 639ms 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

Aim3.4
Positioning5.1
Utility3.9
Mechanics4.5
Opening Duels1.8
Win Impact2.1

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time641ms−35ms
first ⅓ avg 676ms → last ⅓ avg 641ms
Headshot accuracy10.5%+0.2%
first ⅓ avg 10.3% → last ⅓ avg 10.5%

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

0.08Best match rating · 13–1 · inferno, 12 May →
31%Best headshot accuracy · 2–13 · cache, 6 May →
453msFastest reaction time · 6–13 · inferno, 27 May →
13–1Biggest win · cache, 23 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
5–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 71% over 7nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA1911–858%-0.02
cacheC167–944%-0.04
dust2C146–843%-0.04
ancientB136–746%-0.04
anubisA116–555%-0.03
mirageD92–722%-0.05
overpassS75–271%-0.06
nukeD51–420%-0.07
officeA53–260%-0.01
train—11–0100%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,200Lifetime kills
0.66K/D
473Matches
40.2%Match win rate
33.5%Headshot %
0.0%Shot accuracy
532MVPs
220Hours (in match)
552Bombs planted
82Bombs defused

Most-used weapons

Lifetime map wins

895dust2
776inferno
431nuke
173vertigo
144train
62office

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

Faceit stats

Combat

6Matches
17%Win rate
0.72Avg K/D
66.9ADR
40%Headshot %

Clutches & streaks

20%1v1 clutch win
14%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.567.0
Dust220%0.428.5
Ancient10%1.5628.0
Inferno10%0.7911.0

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.

10.0%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.2%Spray accuracy
70.3%Counter-strafing
12.4°Preaim
639msReaction time
31.1%T opening success
43.6%CT opening success
0.38Enemies flashed / flash
5.5%Flash assists
10.44HE damage / grenade
3.67Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3897° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.0044% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3809 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno1–13-0.0014%17 Aug →
dust27–13-0.0015%16 Aug →
ancient15–15-0.066%16 Aug →
inferno8–13-0.0515%16 Aug →
train13–10-0.048%15 Aug →
cache9–13-0.0111%9 Aug →
inferno10–13-0.0412%9 Aug →
cache11–13-0.0612%9 Aug →
inferno13–60.0212%1 Aug →
ancient5–10.000%1 Aug →
inferno13–6-0.0116%30 Jul →
dust24–13-0.089%21 Jul →
nuke5–13-0.049%17 Jul →
dust26–13-0.0612%17 Jul →
ancient6–13-0.035%17 Jul →
inferno10–13-0.019%17 Jul →
office9–13-0.0322%9 Jul →
dust213–8-0.0510%2 Jun →
inferno13–5-0.006%2 Jun →
anubis1–13-0.114%1 Jun →
anubis13–60.0811%1 Jun →
overpass13–7-0.0014%29 May →
inferno13–50.0111%28 May →
anubis10–13-0.067%28 May →
inferno6–13-0.0612%27 May →
ancient13–7-0.065%27 May →
ancient7–13-0.075%27 May →
mirage13–11-0.049%27 May →
inferno13–5-0.048%27 May →
ancient9–13-0.057%27 May →
inferno7–130.0010%26 May →
mirage5–13-0.0428%26 May →
dust213–40.0416%26 May →
mirage6–13-0.0415%26 May →
inferno13–5-0.015%26 May →
anubis13–60.0210%26 May →
overpass9–13-0.042%25 May →
inferno13–11-0.037%25 May →
ancient16–12-0.039%25 May →
dust211–13-0.073%25 May →
cache13–10.0112%23 May →
cache3–13-0.068%23 May →
ancient10–13-0.066%23 May →
dust213–9-0.0314%22 May →
dust213–8-0.0618%22 May →
cache10–13-0.079%21 May →
overpass13–6-0.115%21 May →
inferno11–13-0.054%21 May →
overpass13–5-0.060%21 May →
anubis8–13-0.0623%20 May →
anubis13–11-0.100%19 May →
inferno13–6-0.083%19 May →
ancient13–9-0.087%19 May →
mirage8–13-0.0210%19 May →
ancient13–20.037%18 May →
ancient5–13-0.077%18 May →
nuke13–8-0.083%14 May →
dust213–10-0.0312%14 May →
office3–13-0.096%14 May →
office13–3-0.0113%13 May →
office13–20.0310%13 May →
office13–60.0512%13 May →
dust213–6-0.0311%12 May →
inferno13–10.0813%12 May →
inferno13–9-0.034%12 May →
anubis16–14-0.0318%12 May →
inferno13–10-0.068%12 May →
mirage8–13-0.0813%12 May →
overpass6–13-0.0613%11 May →
ancient8–13-0.0212%11 May →
mirage5–13-0.073%11 May →
overpass13–11-0.0915%9 May →
anubis13–1-0.0011%9 May →
anubis12–16-0.067%8 May →
overpass13–8-0.0511%8 May →
inferno12–16-0.058%7 May →
dust29–13-0.035%7 May →
cache12–6-0.088%7 May →
cache7–130.009%7 May →
cache13–5-0.0115%7 May →
cache13–9-0.0220%7 May →
cache13–40.067%6 May →
cache7–13-0.1213%6 May →
cache6–13-0.129%6 May →
cache2–13-0.0331%6 May →
mirage10–13-0.078%1 May →
dust25–5-0.0214%1 May →
cache3–13-0.090%1 May →
cache13–9-0.0510%30 Apr →
cache13–6-0.0018%30 Apr →
ancient13–10-0.033%30 Apr →
anubis6–13-0.0610%27 Apr →
nuke9–13-0.106%27 Apr →
nuke2–13-0.0813%27 Apr →
mirage2–13-0.119%27 Apr →
nuke10–13-0.078%25 Apr →
dust23–13-0.0810%25 Apr →
anubis13–80.042%25 Apr →
dust28–13-0.0911%23 Apr →
mirage13–90.0111%23 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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