kichux

kichux — CS2 Stats

GB76561198149712585[U:1:189446857]Steam profile ↗

2,584Tracked matches48%Win rate2022Tracked since
CSDB Rating3.6 Learning
Premier CS Rating15,648Purple band · top ~25.8% of ranked players (population est.)
CSDB Leaderboard#11045 of 17710 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGkichuxFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,648 · Purple bandcsdb.gg/stats

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Performance scores

Aim35
Positioning33
Utility62

0–100 skill scores via Leetify.

Recent form

COLD50491Last 10050%Win rateWLLLTLWLLW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim3.5
Aggression2.3
Utility6.2
Positioning3.3
Opening Duels0.0
Clutch1.6

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 74% 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

Reaction time. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.5
Positioning3.3
Utility6.2
Mechanics3.1
Opening Duels0.7
Win Impact4.4

Composite 3.6/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time609ms−22ms
first ⅓ avg 632ms → last ⅓ avg 609ms
Headshot accuracy15.6%+1.6%
first ⅓ avg 14.0% → last ⅓ avg 15.6%

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.

Highlights

0.11Best rating — dust2 13–2
132Biggest win — dust2
7Longest win streak
710In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 64% over 14anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C23101343%-0.04
infernoB1991047%-0.03
nukeA149564%-0.04
mirageB136746%-0.04
cacheA138562%-0.03
ancientA95456%-0.04
anubisD71614%-0.03
overpass220100%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

45Matches
56%Win rate
0.78Avg K/D
64.3ADR
40%Headshot %

Clutches & streaks

28%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis1080%0.8911.4
Inferno944%0.7210.7
Nuke743%0.8012.6
Mirage650%0.6711.3
Dust2650%0.7914.3
Ancient367%0.8212.3
Train250%0.7611.5
Vertigo250%0.7012.5

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.

15.8%Headshot accuracy
28.7%Accuracy (enemy spotted)
31.6%Spray accuracy
64.0%Counter-strafing
11.1°Preaim
609msReaction time
22.0%T opening success
35.5%CT opening success
0.75Enemies flashed / flash
9.8%Flash assists
10.22HE damage / grenade
7.20Flashes / 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 21.9697% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–9-0.086%26 Aug
ancient5–13-0.0917%26 Aug
nuke5–13-0.0824%26 Aug
mirage11–13-0.0116%25 Aug
dust215–15-0.039%25 Aug
inferno5–130.018%25 Aug
dust213–10-0.0514%24 Aug
anubis4–13-0.0419%24 Aug
nuke9–13-0.0518%24 Aug
dust216–14-0.0318%23 Aug
anubis9–13-0.0511%23 Aug
nuke13–30.0017%23 Aug
dust28–13-0.0440%22 Aug
ancient13–9-0.0214%22 Aug
mirage13–10-0.0214%22 Aug
inferno13–6-0.0621%22 Aug
inferno13–10-0.0118%21 Aug
cache9–13-0.0726%21 Aug
dust211–13-0.0513%21 Aug
nuke6–13-0.098%21 Aug
inferno16–14-0.0221%16 Aug
nuke6–13-0.1113%16 Aug
cache16–14-0.0111%16 Aug
cache7–13-0.0414%15 Aug
dust213–10-0.0014%15 Aug
nuke13–7-0.0217%15 Aug
inferno6–13-0.0411%15 Aug
inferno13–8-0.0516%14 Aug
cache13–40.0114%14 Aug
dust212–16-0.0415%14 Aug
mirage13–10-0.059%14 Aug
cache16–14-0.0315%10 Aug
inferno14–16-0.0212%10 Aug
dust21–13-0.1314%10 Aug
dust23–13-0.0913%9 Aug
nuke13–11-0.0611%9 Aug
dust213–20.1115%9 Aug
anubis16–130.0115%4 Aug
mirage16–12-0.0810%4 Aug
inferno11–13-0.0314%4 Aug
nuke13–6-0.0319%3 Aug
dust213–16-0.0312%3 Aug
inferno13–7-0.066%3 Aug
dust213–6-0.0617%2 Aug
ancient13–7-0.0314%2 Aug
cache13–6-0.057%2 Aug
dust213–3-0.0224%2 Aug
cache13–70.0521%1 Aug
ancient16–13-0.044%1 Aug
dust27–13-0.1011%1 Aug
anubis6–13-0.0510%31 Jul
nuke13–4-0.037%31 Jul
mirage9–130.0013%31 Jul
dust26–13-0.058%31 Jul
inferno1–13-0.0519%26 Jul
mirage9–13-0.059%26 Jul
dust213–9-0.0513%26 Jul
inferno13–3-0.0311%24 Jul
anubis11–130.006%24 Jul
dust210–130.0124%24 Jul
cache13–9-0.0211%20 Jul
mirage13–70.0323%20 Jul
dust28–13-0.0311%20 Jul
mirage4–13-0.097%19 Jul
dust213–40.0215%19 Jul
inferno16–12-0.0519%19 Jul
ancient11–13-0.0918%18 Jul
dust23–13-0.1322%18 Jul
nuke13–8-0.0422%18 Jul
inferno13–5-0.0321%18 Jul
cache13–6-0.0210%18 Jul
ancient16–140.0118%17 Jul
cache10–13-0.047%17 Jul
dust210–13-0.0917%17 Jul
nuke13–9-0.0812%17 Jul
mirage13–9-0.0113%12 Jul
inferno11–13-0.0217%12 Jul
inferno4–13-0.036%11 Jul
cache2–13-0.085%11 Jul
ancient3–13-0.0719%11 Jul
mirage1–13-0.1114%10 Jul
cache13–9-0.0215%10 Jul
cache10–13-0.0211%6 Jul
ancient13–11-0.0111%6 Jul
inferno10–13-0.009%5 Jul
mirage7–13-0.0310%5 Jul
mirage13–40.0021%4 Jul
ancient11–13-0.0319%4 Jul
inferno9–13-0.0414%3 Jul
nuke13–100.0211%3 Jul
overpass13–4-0.064%3 Jul
overpass13–9-0.0114%2 Jul
nuke13–5-0.027%2 Jul
mirage10–13-0.0414%29 Jun
anubis2–13-0.1025%29 Jun
inferno2–13-0.0515%29 Jun
anubis14–16-0.0115%28 Jun
inferno13–4-0.0013%28 Jun
dust213–4-0.0518%28 Jun
nuke14–16-0.0311%25 Jun

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 →