DronXa

DronXa — CS2 Stats

SE76561198094716537[U:1:134450809]Steam profile ↗✓ No bans

278Tracked matches59%Win rate2020Tracked since
1,352Hours in CS
CSDB Rating4.5 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,962), 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 4 medianLevel 5 medianvs Level 5
Headshot rate35.3%42.7%43.8%8.4% short
Shot accuracy14.7%11.3%12.0%above
Kill/death ratio1.000.991.02meets
Match win rate44.4%43.9%44.7%meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDronXaFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning52
Utility4

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLLWWLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +3.6pp headshot accuracy · +4ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 702ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 693ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 691ms

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 against its own average).

Aim4.6
Utility0.4
Positioning5.2
Opening Duels4.6
Clutch2.6

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

donk

Plays most like donk 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 58% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms 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

Aim4.6
Positioning5.2
Utility0.4
Mechanics5.7
Opening Duels3.5
Win Impact7.9

Composite 4.5/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time683ms−13ms
first ⅓ avg 697ms → last ⅓ avg 683ms
Headshot accuracy14.6%+1.7%
first ⅓ avg 12.9% → last ⅓ avg 14.6%

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

0.08Best match rating · 16–6 · mirage, 22 Mar →
28%Best headshot accuracy · 8–16 · dust2, 11 Jul →
516msFastest reaction time · 11–16 · mirage, 8 Jun →
13–0Biggest win · mirage, 19 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
4–7In matches decided by ≤2 rounds
85Overtime games

Map breakdown

infernoBest map · 67% over 24dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA3922–1756%-0.01
infernoS2416–867%-0.01
dust2C114–736%-0.03
nukeC83–538%-0.05
vertigoA85–363%-0.00
anubisC52–340%-0.04
overpass—40–40%-0.04
ancient—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,822Lifetime kills
1.00K/D · Top 50% of Level 4 players
3,226Matches
44.4%Match win rate · Top 50% of Level 4 players
35.3%Headshot %
14.7%Shot accuracy · Top 50% of Level 4 players
6,056MVPs
1,352Hours (in match)
2,768Bombs planted
497Bombs defused

Most-used weapons

AWP12,962
AK-4712,381
SG 5531,897
P901,635
MP71,110
P2501,083

Lifetime map wins

13,916dust2
2,720inferno
1,154office
1,069nuke
656assault
297italy
281lake
255vertigo

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

Faceit stats

Combat

243Matches
54%Win rate
1.02Avg K/D
78.4ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3563%1.0715.0
Inferno1164%1.2517.4
Dust21020%0.9215.3
Anubis667%0.8011.8
Cache650%0.9314.5
Vertigo540%0.8113.0
Ancient580%0.9714.2
Nuke425%0.7211.0

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.

14.2%Headshot accuracy
31.1%Accuracy (enemy spotted)
33.3%Spray accuracy
75.6%Counter-strafing
9.8°Preaim
661msReaction time
12.7%T opening success
58.3%CT opening success
0.42Enemies flashed / flash
4.2%Flash assists
7.85HE damage / grenade
6.95Flashes / 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 14.1834% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4214 — below the 0.5 mark we flag

    Grenade Lineups →
  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 12.6792% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.119%25 Feb →
dust214–160.0215%15 Sept →
mirage13–40.0515%15 Sept →
mirage13–60.0510%15 Sept →
mirage5–13-0.066%29 Aug →
mirage13–100.0325%28 Aug →
inferno13–50.0624%28 Aug →
mirage13–110.0224%26 Aug →
inferno2–13-0.1528%25 Aug →
mirage13–00.0222%19 Aug →
inferno13–20.0718%19 Aug →
inferno11–13-0.0115%18 Aug →
mirage15–150.0025%9 May →
nuke9–6-0.036%4 Jan →
anubis9–13-0.0810%16 Dec →
nuke1–9-0.1919%16 Dec →
vertigo7–16-0.0313%2 Sept →
anubis16–13-0.0317%2 Sept →
mirage12–16-0.0613%2 Sept →
vertigo19–15-0.027%19 Jul →
mirage16–9-0.0317%19 Jul →
inferno16–5-0.0114%19 Jul →
inferno16–130.079%18 Jul →
inferno16–50.019%18 Jul →
inferno9–16-0.0314%18 Jul →
mirage11–160.0212%18 Jul →
inferno16–14-0.0014%17 Jul →
mirage26–28-0.0111%17 Jul →
inferno16–4-0.0214%16 Jul →
inferno6–16-0.068%16 Jul →
vertigo16–80.0614%16 Jul →
vertigo16–12-0.0015%15 Jul →
vertigo12–10.0110%15 Jul →
nuke8–160.0417%15 Jul →
mirage16–80.0611%15 Jul →
nuke16–70.0011%14 Jul →
inferno16–8-0.0117%14 Jul →
mirage16–70.0513%14 Jul →
mirage10–16-0.0212%14 Jul →
mirage16–9-0.0314%13 Jul →
mirage17–19-0.0612%13 Jul →
nuke16–11-0.0418%12 Jul →
anubis14–16-0.0615%12 Jul →
dust212–16-0.0217%12 Jul →
mirage16–12-0.0315%11 Jul →
mirage9–16-0.0510%11 Jul →
overpass11–16-0.0311%11 Jul →
inferno16–130.0316%11 Jul →
dust28–16-0.0528%11 Jul →
nuke9–16-0.086%10 Jul →
mirage16–80.008%10 Jul →
inferno16–14-0.0324%8 Jul →
mirage16–8-0.0510%8 Jul →
inferno16–11-0.039%8 Jul →
inferno16–100.0317%8 Jul →
dust216–11-0.0314%8 Jul →
inferno8–16-0.0313%8 Jun →
inferno16–12-0.0513%8 Jun →
mirage11–16-0.0417%8 Jun →
dust210–16-0.0424%5 Jun →
nuke4–16-0.076%5 Jun →
mirage16–11-0.0716%28 Apr →
dust216–8-0.015%16 Apr →
mirage16–50.0421%16 Apr →
vertigo15–19-0.0310%29 Mar →
mirage12–16-0.0116%29 Mar →
dust216–11-0.046%27 Mar →
mirage16–12-0.0317%27 Mar →
overpass12–16-0.0410%26 Mar →
inferno12–16-0.0110%26 Mar →
overpass2–16-0.0813%23 Mar →
mirage10–16-0.1019%23 Mar →
mirage16–9-0.006%23 Mar →
mirage16–60.0815%22 Mar →
dust29–16-0.058%22 Mar →
dust216–11-0.0510%22 Mar →
vertigo8–16-0.039%22 Mar →
mirage16–140.049%21 Mar →
inferno16–130.0011%21 Mar →
dust213–160.0010%7 Mar →
nuke10–16-0.0114%6 Mar →
mirage15–19-0.0311%6 Mar →
mirage16–10-0.0513%20 Feb →
vertigo19–160.0012%20 Feb →
mirage14–160.0111%18 Feb →
mirage16–13-0.0223%18 Feb →
inferno11–16-0.0524%18 Feb →
ancient9–16-0.0515%18 Feb →
overpass13–16-0.0219%18 Feb →
mirage16–130.037%18 Feb →
mirage9–16-0.0112%18 Feb →
dust212–16-0.057%17 Feb →
mirage7–16-0.0610%12 Feb →
inferno16–8-0.0214%11 Feb →
inferno13–16-0.0211%9 Feb →
mirage7–16-0.0916%9 Feb →
anubis16–13-0.0112%3 Feb →
mirage16–40.0118%3 Feb →
inferno16–40.0217%3 Feb →
anubis14–16-0.0413%3 Feb →

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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