ches-ki

ches-ki — CS2 Stats

AQ76561198078734001[U:1:118468273]Steam profile ↗

848Tracked matches41%Win rate2020Tracked since
6,198Hours in CS
CSDB Rating5.1 DevelopingPassive Rifler
Premier CS Rating21,345Top 50% of 29,473 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#15309 of 49118 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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 playerPink band medianRed band medianvs Red band
Headshot rate55.7%47.1%50.0%above
Shot accuracy24.5%12.8%13.5%above
Kill/death ratio0.931.081.130.20 short
Match win rate37.8%46.6%48.4%10.7% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGches-kiPREMIER21,345 · Pink bandcsdb.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

Aim60
Positioning47
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY53443Last 10053%Win rateWWWLLLLLTW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim6.0
Aggression4.2
Utility6.3
Positioning4.7
Opening Duels0.8
Clutch3.8

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-fight frequency.

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

Areas to improve

Reaction time. 621ms 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

Aim6.0
Positioning4.7
Utility6.3
Mechanics6.9
Opening Duels0.8
Win Impact2.1

Composite 5.1/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time632ms−7ms
first ⅓ avg 640ms → last ⅓ avg 632ms
Headshot accuracy20.6%+0.2%
first ⅓ avg 20.3% → last ⅓ avg 20.6%

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

0.20Best rating — mirage 13–2
130Biggest win — inferno
8Longest win streak
W3Current streak
65In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC30131743%-0.00
dust2S2013765%-0.02
infernoA1911858%-0.00
ancientC125742%0.00
anubisC73443%-0.02
nukeS54180%0.02
overpass41325%-0.01
cache330100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

287,347Lifetime kills
0.93K/D
5,572Matches
37.8%Match win rate
55.7%Headshot % · Top 25% of Pink band
24.5%Shot accuracy · Top 1% of Pink band
8,807MVPs
6,198Hours (in match)
7,497Bombs planted
2,528Bombs defused

Most-used weapons

AK-47105,679
P2507,173
AWP3,853
Knife3,560
Tec-93,291

Lifetime map wins

11,067inferno
7,990dust2
2,880train
2,454nuke
2,069cbble
754vertigo
163lake
102safehouse

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

Faceit stats

Combat

438Matches
50%Win rate
1.15Avg K/D
69.9ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage9749%1.0513.7
Inferno5052%0.9313.7
Anubis4443%0.9313.4
Ancient2245%0.9213.8
Vertigo1942%0.9413.8
Nuke1354%1.0015.7
Dust21145%1.0913.8
Overpass520%0.9112.4

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.

21.3%Headshot accuracy
32.2%Accuracy (enemy spotted)
41.1%Spray accuracy
81.0%Counter-strafing
13.3°Preaim
621msReaction time
30.5%T opening success
35.9%CT opening success
0.66Enemies flashed / flash
13.3%Flash assists
8.61HE damage / grenade
13.72Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3153° — above the 12° mark we flag

    Aim Training
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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.077%30 Jun
ancient7–3-0.005%30 Jun
inferno13–70.1017%26 Jun
nuke7–130.0034%26 Jun
dust213–16-0.0322%24 Jun
mirage1–13-0.0921%24 Jun
mirage11–130.0423%24 Jun
ancient7–13-0.0516%22 Jun
inferno12–120.0226%22 Jun
dust213–2-0.0336%22 Jun
inferno9–7-0.049%21 Jun
ancient6–13-0.0519%20 Jun
overpass10–130.0118%19 Jun
overpass13–8-0.0217%19 Jun
ancient13–80.0139%10 Jun
inferno9–13-0.0022%10 Jun
mirage9–13-0.0522%9 Jun
dust213–4-0.0221%9 Jun
inferno3–130.0419%9 Jun
ancient4–13-0.0510%9 Jun
inferno13–8-0.0815%8 Jun
ancient9–13-0.0418%4 Jun
mirage11–13-0.0036%4 Jun
dust210–13-0.0029%4 Jun
anubis9–130.0116%4 Jun
ancient13–70.0816%3 Jun
mirage13–50.0627%3 Jun
anubis2–13-0.0721%2 Jun
inferno8–13-0.0428%2 Jun
dust213–5-0.0418%2 Jun
dust213–9-0.0528%2 Jun
dust27–13-0.0322%2 Jun
inferno7–13-0.064%2 Jun
overpass6–13-0.0417%1 Jun
anubis13–6-0.0531%1 Jun
nuke13–60.0217%1 Jun
nuke13–30.0323%1 Jun
anubis13–3-0.035%1 Jun
inferno5–13-0.0424%1 Jun
dust213–8-0.0435%29 May
mirage13–6-0.0127%28 May
dust213–70.0324%28 May
mirage13–40.0227%28 May
anubis13–110.0125%21 May
dust213–8-0.0532%21 May
inferno13–20.0412%21 May
mirage13–70.0331%17 May
overpass9–130.0118%16 May
ancient8–13-0.0120%16 May
dust214–16-0.0827%16 May
nuke13–110.0415%16 May
mirage13–3-0.0415%14 May
mirage0–3-0.080%14 May
inferno13–100.0230%13 May
dust26–13-0.0421%12 May
ancient12–120.0435%10 May
inferno9–130.0631%10 May
mirage13–20.2023%9 May
dust213–9-0.0111%9 May
dust213–160.0125%7 May
dust211–13-0.0130%7 May
nuke13–110.0223%5 May
cache13–90.0922%5 May
cache13–30.0523%30 Apr
cache13–70.0717%30 Apr
inferno13–8-0.0610%16 Mar
mirage13–160.0125%7 Mar
dust213–9-0.0314%7 Mar
inferno13–00.0618%5 Mar
mirage7–13-0.0411%5 Mar
mirage10–130.0318%5 Mar
mirage13–80.0522%4 Mar
mirage13–4-0.0212%4 Mar
mirage10–130.0130%2 Mar
mirage2–13-0.0231%2 Mar
anubis7–130.0334%2 Mar
mirage13–10-0.0420%26 Feb
mirage10–130.0313%25 Feb
mirage13–40.0625%25 Feb
inferno8–13-0.0324%24 Feb
inferno13–9-0.0318%24 Feb
mirage13–8-0.0410%23 Feb
mirage10–130.0719%23 Feb
ancient13–100.0228%23 Feb
inferno13–9-0.0222%23 Feb
mirage13–16-0.0117%22 Feb
ancient13–80.0710%21 Feb
mirage8–130.0019%21 Feb
mirage13–100.0110%20 Feb
ancient10–130.0128%14 Feb
inferno13–80.0428%14 Feb
mirage9–13-0.0627%14 Feb
inferno13–50.0125%13 Feb
dust216–14-0.0032%6 Feb
mirage12–120.0122%6 Feb
dust213–11-0.0416%5 Feb
mirage5–13-0.0610%5 Feb
dust213–10-0.0421%4 Feb
dust213–70.0319%4 Feb
anubis14–16-0.0217%4 Feb

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →