Dockx — CS2 Stats

76561197994062031[U:1:33796303]

2,480Tracked matches40%Win rate2020Tracked since
6,208Hours in CS15Hrs last 2 wks
CSDB Rating4.6 DevelopingPassive Rifler
Premier CS Rating17,100Purple band · top ~20% of ranked players (population est.)
CSDB Leaderboard#10819 of 18896 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDockxFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,100 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning40
Utility68

0–100 skill scores via Leetify.

Recent form

COLD47512Last 10047%Win rateLWLLWLLWLL

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression3.5
Utility6.8
Positioning4.0
Opening Duels0.7
Clutch6.0

Strong CT-side openerEffective flashes

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 41% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim6.1
Positioning4.0
Utility6.8
Mechanics4.3
Opening Duels1.4
Win Impact1.7

Composite 4.6/10 (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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time590ms−61ms
first ⅓ avg 650ms → last ⅓ avg 590ms
Headshot accuracy18.4%+1.7%
first ⅓ avg 16.7% → last ⅓ avg 18.4%

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

0.08Best rating — ancient 13–7
131Biggest win — anubis
4Longest win streak
108In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 60% over 10nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB23121152%0.00
infernoC2181338%-0.03
anubisB126650%-0.02
nukeD103730%-0.04
overpassA106460%-0.01
cacheC83538%-0.03
dust2A74357%0.00
trainB63350%0.01
mirage32167%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

205,838Lifetime kills
1.09K/D · Top 50% of tracked players
9,268Matches
42.7%Match win rate
46.5%Headshot % · Top 50% of tracked players
14.1%Shot accuracy · Top 50% of tracked players
16,014MVPs
4,077Hours (in match)
8,048Bombs planted
1,763Bombs defused

Most-used weapons

AK-4785,076
AWP10,624
P2506,848
FAMAS3,894
Tec-93,229

Lifetime map wins

22,114inferno
21,881dust2
4,933nuke
1,464vertigo
1,024train
360office
251cbble
92italy

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

Faceit stats

Combat

30Matches
40%Win rate
0.88Avg K/D
81.6ADR
45%Headshot %

Clutches & streaks

50%1v1 clutch win
17%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis520%0.9521.4
Ancient3100%1.0717.0
Dust2250%0.9716.5
Inferno250%1.4815.5
Vertigo10%0.8214.0
Overpass10%0.7316.0
Mirage1100%0.674.0

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.

18.3%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.9%Spray accuracy
69.3%Counter-strafing
10.5°Preaim
586msReaction time
24.2%T opening success
41.1%CT opening success
0.70Enemies flashed / flash
6.2%Flash assists
9.26HE damage / grenade
13.79Flashes / 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

    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 24.1819% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0410%28 Aug
inferno13–6-0.0125%28 Aug
anubis7–130.0115%26 Aug
ancient5–13-0.0216%26 Aug
cache13–30.0418%25 Aug
anubis11–130.0019%25 Aug
inferno3–13-0.099%25 Aug
ancient13–90.0720%25 Aug
cache7–13-0.0515%20 Aug
nuke9–13-0.0123%20 Aug
cache13–11-0.0116%19 Aug
inferno13–11-0.0110%19 Aug
mirage13–70.0121%17 Aug
ancient13–20.0413%17 Aug
inferno5–13-0.0225%17 Aug
dust213–16-0.0414%15 Aug
inferno13–60.0334%15 Aug
anubis10–13-0.0415%15 Aug
ancient13–110.0623%15 Aug
ancient13–11-0.0712%15 Aug
cache13–16-0.0525%14 Aug
anubis13–16-0.0612%14 Aug
inferno14–16-0.0512%14 Aug
cache13–16-0.0521%9 Aug
ancient6–13-0.0233%9 Aug
cache13–5-0.0018%6 Aug
inferno8–13-0.0231%5 Aug
anubis13–6-0.0210%5 Aug
nuke3–13-0.0319%3 Aug
anubis1–13-0.0319%3 Aug
cache7–13-0.0612%3 Aug
anubis13–10.0117%28 Jul
ancient13–100.0025%28 Jul
mirage13–5-0.0413%28 Jul
nuke11–13-0.0518%28 Jul
inferno13–10-0.0524%28 Jul
ancient9–13-0.0422%22 Jul
anubis13–90.0017%22 Jul
anubis13–8-0.0414%22 Jun
nuke13–7-0.0510%15 Jun
inferno16–14-0.058%15 Jun
ancient5–13-0.0420%15 Jun
overpass13–30.0618%3 Jun
dust213–11-0.0414%3 Jun
ancient2–60.0524%2 Jun
anubis13–90.0311%2 Jun
inferno6–13-0.042%1 Jun
ancient9–13-0.0511%1 Jun
overpass10–13-0.0413%29 May
anubis1–13-0.0710%29 May
inferno8–13-0.0723%29 May
anubis13–9-0.0412%29 May
nuke13–5-0.037%15 Dec
dust28–130.0112%15 Dec
inferno11–13-0.032%15 Dec
dust213–8-0.0125%14 Dec
train5–130.0224%14 Dec
overpass13–7-0.0020%14 Dec
nuke13–8-0.0510%14 Dec
ancient1–13-0.0327%14 Dec
inferno7–13-0.0222%11 Dec
ancient13–60.0113%11 Dec
inferno10–13-0.0923%11 Dec
nuke14–16-0.0421%11 Dec
ancient9–13-0.0110%11 Dec
overpass14–160.0119%9 Dec
inferno6–13-0.0613%8 Dec
ancient16–14-0.0118%8 Dec
train13–7-0.0121%8 Dec
overpass13–90.0320%8 Dec
inferno13–10-0.019%8 Dec
overpass4–13-0.176%8 Dec
nuke9–13-0.0417%7 Dec
ancient13–11-0.0111%7 Dec
nuke4–13-0.0540%6 Dec
inferno16–130.0217%4 Dec
ancient15–15-0.0020%4 Dec
train13–100.0118%4 Dec
inferno5–9-0.1022%4 Dec
overpass13–60.0119%3 Dec
dust213–40.0613%3 Dec
mirage9–130.0224%1 Dec
ancient13–80.0619%1 Dec
dust213–110.076%1 Dec
ancient13–100.0113%1 Dec
inferno11–130.0111%25 Nov
overpass13–11-0.0115%25 Nov
ancient13–10-0.0115%25 Nov
nuke4–13-0.0124%23 Nov
overpass10–130.0018%23 Nov
inferno7–13-0.0913%23 Nov
ancient15–15-0.0221%20 Nov
train13–6-0.0314%18 Nov
overpass13–50.0019%18 Nov
inferno13–40.0217%18 Nov
dust210–13-0.057%18 Nov
ancient11–13-0.0018%17 Nov
train8–130.0431%17 Nov
train12–160.0011%17 Nov
ancient13–70.083%16 Nov

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 →