Chik3N

Chik3N — CS2 Stats

US76561198173277115[U:1:213011387]Steam profile ↗✓ No bans

1,427Tracked matches62%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating21,529Top 50% of 213,542 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#63157 of 260203 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,529 +958 3 Sept – 6 Nov · 31 days played
18,99921,602peak 21,6023 Sept6 Nov
21,746Peak Premier in tracked matches
1,501Highest Faceit ELO seen on CSDB
36Days played since 2026-09-03

Premier CS Rating

  • 73 below peak (21,602)
  • +1,652 over 30 days · improving
  • Next: Red band at 25,000 — 3,471 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGChik3NFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,529 · Pink bandPEAK ELO1,501csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning70
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWWLTLLWWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −5.1pp headshot accuracy · −19ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 521ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 542ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 551ms

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 (+2.5 against its own average).

Aim7.8
Utility3.7
Positioning7.0
Opening Duels4.3
Clutch3.2

Strong T-side openerLimited 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

donk

Plays most like donk 90% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 81% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 81% on T to 34% on CT — first contacts on the defending side are being lost.

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

Aim7.8
Positioning7.0
Utility3.7
Mechanics7.5
Opening Duels5.5
Win Impact9.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time547ms−28ms
first ⅓ avg 575ms → last ⅓ avg 547ms
Headshot accuracy24.8%+2.8%
first ⅓ avg 22.0% → last ⅓ avg 24.8%

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

0.19Best match rating · 4–0 · dust2, 3 Sept →
55%Best headshot accuracy · 13–3 · inferno, 27 Oct →
375msFastest reaction time · 8–13 · anubis, 5 Oct →
13–1Biggest win · dust2, 31 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
8–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 65% over 20ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB2913–1645%-0.00
dust2S2013–765%0.04
ancientC135–838%-0.01
nukeA106–460%-0.01
cacheB105–550%0.03
anubisC94–544%-0.02
infernoA74–357%-0.00
train—11–0100%-0.00
boulder—11–0100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,081Matches
51%Win rate
1.05Avg K/D
79.8ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage18851%1.0515.1
Dust213448%1.0715.9
Anubis7851%0.9714.5
Inferno7148%1.0915.8
Ancient6255%1.0316.3
Nuke4760%1.0515.3
Train1540%1.1517.3
Overpass1155%0.8813.4

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.

24.8%Headshot accuracy
31.1%Accuracy (enemy spotted)
33.3%Spray accuracy
83.6%Counter-strafing
9.1°Preaim
545msReaction time
81.1%T opening success
34.1%CT opening success
0.34Enemies flashed / flash
4.0%Flash assists
9.46HE damage / grenade
3.21Flashes / 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. 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 0.3443 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.1283% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–14-0.0321%6 Nov →
nuke13–30.0625%6 Nov →
mirage7–13-0.0222%6 Nov →
mirage15–150.0325%5 Nov →
cache11–130.0023%5 Nov →
nuke12–160.0119%4 Nov →
dust213–30.0722%4 Nov →
dust216–130.0016%31 Oct →
dust213–10.1435%31 Oct →
mirage5–13-0.0118%31 Oct →
dust27–130.0433%31 Oct →
mirage13–40.0725%30 Oct →
mirage14–160.0221%30 Oct →
nuke13–11-0.0120%29 Oct →
mirage4–13-0.0824%29 Oct →
nuke13–60.0121%29 Oct →
mirage13–110.0229%28 Oct →
cache6–13-0.0525%28 Oct →
dust211–130.0125%27 Oct →
inferno13–30.0455%27 Oct →
cache9–13-0.0139%27 Oct →
cache13–80.0924%22 Oct →
ancient7–00.0643%21 Oct →
anubis13–40.0420%21 Oct →
inferno13–70.0635%21 Oct →
ancient6–13-0.147%18 Oct →
mirage13–110.0229%18 Oct →
nuke13–5-0.0222%17 Oct →
inferno13–40.0735%17 Oct →
inferno13–9-0.0312%16 Oct →
ancient0–5-0.070%16 Oct →
mirage9–13-0.0122%16 Oct →
cache13–100.1627%8 Oct →
mirage8–13-0.0112%8 Oct →
mirage9–130.0722%6 Oct →
nuke8–13-0.0525%5 Oct →
anubis8–130.0155%5 Oct →
mirage13–5-0.0118%5 Oct →
ancient9–13-0.0519%5 Oct →
mirage13–90.0114%5 Oct →
mirage13–60.0435%5 Oct →
inferno5–13-0.1240%5 Oct →
dust213–7-0.0027%1 Oct →
inferno6–13-0.0120%29 Sept →
mirage7–13-0.0411%23 Sept →
anubis13–9-0.0220%23 Sept →
anubis13–3-0.0413%23 Sept →
dust24–130.0418%22 Sept →
anubis10–13-0.0723%22 Sept →
train13–7-0.0033%21 Sept →
boulder13–11-0.0450%21 Sept →
mirage8–13-0.0116%21 Sept →
inferno6–13-0.0423%21 Sept →
mirage10–130.0431%21 Sept →
ancient13–10-0.0224%19 Sept →
dust213–60.1225%19 Sept →
ancient7–13-0.0816%18 Sept →
dust28–13-0.058%18 Sept →
cache13–90.0425%18 Sept →
ancient11–130.0719%18 Sept →
ancient16–19-0.0022%18 Sept →
ancient13–160.0119%17 Sept →
dust25–13-0.0127%16 Sept →
cache13–20.0528%16 Sept →
mirage16–14-0.0023%16 Sept →
cache13–60.0128%16 Sept →
ancient13–7-0.0023%14 Sept →
dust213–10.0519%13 Sept →
anubis13–4-0.079%13 Sept →
dust219–170.0829%12 Sept →
mirage13–70.1023%12 Sept →
nuke9–130.0226%11 Sept →
dust213–80.1019%11 Sept →
mirage13–6-0.0321%11 Sept →
dust26–13-0.0313%10 Sept →
dust213–110.0127%10 Sept →
anubis6–130.0825%8 Sept →
anubis2–6-0.0917%8 Sept →
nuke13–8-0.0119%8 Sept →
ancient13–10-0.0022%8 Sept →
mirage13–60.0319%8 Sept →
dust213–16-0.0020%8 Sept →
cache11–130.0425%8 Sept →
mirage15–15-0.0111%7 Sept →
ancient13–30.0816%7 Sept →
dust213–70.1129%6 Sept →
cache6–13-0.0320%5 Sept →
dust216–130.0212%5 Sept →
ancient12–16-0.0216%4 Sept →
nuke3–13-0.0731%4 Sept →
mirage13–4-0.0524%3 Sept →
mirage5–13-0.0526%3 Sept →
dust24–00.1943%3 Sept →
mirage13–9-0.0516%3 Sept →
mirage9–130.0321%3 Sept →
anubis6–13-0.0136%3 Sept →
mirage9–10.0518%3 Sept →
dust213–10-0.0133%3 Sept →
mirage2–13-0.1622%3 Sept →
mirage11–13-0.0220%3 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.