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Dr0n_ — CS2 Stats

76561197969751613[U:1:9485885]

1,505Tracked matches41%Win rate2020Tracked since
3,580Hours in CS
CSDB Rating3.8 LearningSupport
FaceitLevel 4 · 1,323 ELOTop 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGDr0n_FACEITLevel 4 · 1,323 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim34
Positioning47
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWLWLLWLLLW

Last 10 vs previous 10: +0pp win rate · +0.05 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim3.4
Aggression4.9
Utility7.5
Positioning4.7
Opening Duels1.1
Clutch3.4

Effective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Strengths

Flashes. 0.94 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 735ms 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
Positioning4.7
Utility7.5
Mechanics5.5
Opening Duels1.1
Win Impact2.1

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time728ms+19ms
first ⅓ avg 709ms → last ⅓ avg 728ms
Headshot accuracy14.4%+0.5%
first ⅓ avg 13.8% → last ⅓ avg 14.4%

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.

Highlights

0.16Best rating — dust2 13–6
13–0Biggest win — inferno
4Longest win streak
7–17In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 45% over 20nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C3314–1942%0.00
infernoC2811–1739%-0.01
ancientB209–1145%-0.01
nukeD92–722%-0.01
overpass—32–167%0.01
vertigo—20–20%-0.05
cache—21–150%-0.03
anubis—21–150%-0.01
mirage—11–0100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,739Lifetime kills
0.88K/D
6,018Matches
47.1%Match win rate · Top 50% of tracked players
42.0%Headshot %
10.7%Shot accuracy
12,306MVPs
3,580Hours (in match)
9,504Bombs planted
1,663Bombs defused

Most-used weapons

AK-4744,006
M4A4 / M4A1-S32,322
Galil AR6,891
P2000 / USP-S6,855
FAMAS6,841
Glock-184,849
AWP4,638
Knife2,274
P2501,790
Tec-91,245

Lifetime map wins

22,441inferno
21,288dust2
5,718nuke
1,705vertigo
902train
105cbble
49office
40lake

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

Faceit stats

Combat

3,288Matches
50%Win rate
0.96Avg K/D
71.6ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust280552%1.0013.6
Inferno60050%0.9813.4
Ancient43847%0.9113.6
Nuke21450%0.9513.8
Mirage14151%1.0112.9
Vertigo12547%0.9713.5
Overpass7447%0.8313.3
Anubis4353%0.8812.4

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.

14.8%Headshot accuracy
31.2%Accuracy (enemy spotted)
31.7%Spray accuracy
74.8%Counter-strafing
11.1°Preaim
735msReaction time
34.6%T opening success
33.9%CT opening success
0.94Enemies flashed / flash
11.2%Flash assists
14.34HE damage / grenade
11.62Flashes / 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. 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 14.754% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 735.0356ms — above the 700ms mark we flag

    Aim Training →
  3. 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 34.6054% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.1117%11 Aug →
ancient9–13-0.079%11 Aug →
dust213–60.0013%7 Aug →
dust27–13-0.0013%7 Aug →
vertigo10–13-0.0324%7 Aug →
dust213–60.1610%28 Jul →
dust29–13-0.0217%28 Jul →
dust211–130.0312%28 Jul →
dust26–13-0.0521%27 Jul →
inferno13–40.0616%19 Jul →
ancient13–11-0.0623%16 Jul →
inferno11–13-0.0515%16 Jul →
ancient14–160.0224%16 Jul →
cache8–13-0.056%16 Jul →
nuke13–11-0.0315%16 Jul →
ancient15–15-0.0516%15 Jul →
cache16–13-0.0116%10 Jul →
dust28–13-0.049%10 Jul →
dust211–13-0.0216%9 Jul →
inferno13–40.029%26 Jun →
inferno6–13-0.056%26 Jun →
inferno5–13-0.0419%26 Jun →
inferno8–13-0.017%25 Jun →
inferno13–00.0017%25 Jun →
ancient11–130.0218%13 Jun →
dust213–100.1011%11 Jun →
nuke6–130.018%11 Jun →
mirage13–8-0.0112%11 Jun →
dust213–70.0114%6 Jun →
dust26–13-0.0921%5 Jun →
nuke11–13-0.0212%5 Jun →
dust216–13-0.0118%4 Jun →
nuke16–13-0.058%4 Jun →
ancient13–11-0.018%4 Jun →
nuke15–15-0.036%4 Jun →
inferno7–13-0.064%2 Jun →
inferno13–11-0.0015%1 Jun →
ancient13–10.0319%1 Jun →
ancient11–13-0.0110%1 Jun →
dust29–130.0710%29 May →
dust26–13-0.0511%29 May →
dust213–10-0.0111%28 May →
inferno11–13-0.0210%25 May →
inferno13–8-0.099%24 May →
dust213–80.008%24 May →
ancient13–100.076%24 May →
overpass14–16-0.037%23 May →
ancient8–13-0.067%23 May →
inferno13–70.0510%23 May →
inferno7–13-0.0510%23 May →
nuke7–130.0312%19 May →
ancient6–13-0.0523%19 May →
ancient13–3-0.019%19 May →
inferno9–13-0.049%16 May →
inferno22–190.0811%14 May →
ancient4–13-0.0610%13 May →
inferno13–9-0.0412%13 May →
ancient9–13-0.0514%13 May →
dust213–40.0915%8 May →
ancient5–130.0113%1 May →
inferno8–130.0614%1 May →
overpass16–140.0213%13 Apr →
ancient13–80.038%13 Apr →
inferno5–13-0.0414%13 Apr →
ancient13–8-0.0012%13 Apr →
dust29–13-0.0114%8 Apr →
overpass13–100.0514%8 Apr →
inferno4–13-0.086%8 Apr →
inferno3–13-0.0614%7 Apr →
inferno11–130.0217%6 Apr →
dust28–13-0.0713%4 Apr →
dust211–130.0016%4 Apr →
dust213–110.0125%4 Apr →
nuke14–16-0.049%4 Apr →
dust210–130.0221%4 Apr →
nuke11–13-0.0313%31 Mar →
vertigo7–9-0.073%31 Mar →
anubis14–160.0013%31 Mar →
ancient13–40.0612%31 Mar →
inferno15–150.0516%31 Mar →
inferno15–15-0.0314%31 Mar →
nuke9–130.0816%30 Mar →
dust213–20.047%30 Mar →
dust213–8-0.0011%28 Mar →
inferno13–80.0416%28 Mar →
ancient13–9-0.0611%28 Mar →
dust214–16-0.0424%27 Mar →
dust29–13-0.0410%27 Mar →
inferno16–140.0118%27 Mar →
dust210–13-0.0516%27 Mar →
inferno10–13-0.0318%26 Mar →
dust28–13-0.036%21 Mar →
ancient7–13-0.0310%22 Feb →
anubis13–10-0.024%21 Feb →
dust213–2-0.0217%21 Feb →
dust210–130.0114%21 Feb →
inferno11–130.0420%21 Feb →
dust26–13-0.0213%6 Feb →
inferno13–9-0.0421%6 Feb →
dust213–40.0713%6 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 →

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