Chiko

Chiko — CS2 Stats

GB76561199031757270[U:1:1071491542]Steam profile ↗

829Tracked matches52%Win rate2023Tracked since
957Hours in CS67Hrs last 2 wks
CSDB Rating4.5 Developing
Premier CS Rating13,726Blue band · top ~35.1% of ranked players (population est.)
CSDB Leaderboard#35226 of 54847 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.0%41.4%44.2%above
Shot accuracy6.0%9.0%11.6%5.6% short
Kill/death ratio1.210.971.03above
Match win rate45.9%43.7%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGChikoPREMIER13,726 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning44
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY44515Last 10044%Win rateLLLWLWWWLL

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Aim5.9
Aggression5.2
Utility4.1
Positioning4.4
Opening Duels0.7
Clutch5.4

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 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 677ms 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

Aim5.9
Positioning4.4
Utility4.1
Mechanics5.8
Opening Duels0.7
Win Impact5.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.05
first ⅓ avg 0.02 → last ⅓ avg -0.03
Reaction time631ms−36ms
first ⅓ avg 668ms → last ⅓ avg 631ms
Headshot accuracy24.9%+1.9%
first ⅓ avg 23.0% → last ⅓ avg 24.9%

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

0.21Best rating — ancient 8–13
132Biggest win — inferno
5Longest win streak
L3Current streak
85In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 60% over 10ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC1771041%-0.02
dust2D1551033%-0.02
nukeC156940%0.01
vertigoC114736%-0.04
cacheA106460%0.00
infernoC83538%-0.02
ancientD61517%0.02
anubis43175%-0.04
train42250%0.02
office440100%0.02
debris32167%0.04
poseidon2020%-0.13
italy110100%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,465Lifetime kills
1.21K/D · Top 25% of Blue band
1,326Matches
45.9%Match win rate · Top 50% of Blue band
48.0%Headshot % · Top 25% of Blue band
6.0%Shot accuracy
2,690MVPs
425Hours (in match)
993Bombs planted
275Bombs defused

Most-used weapons

Lifetime map wins

3,620nuke
1,630dust2
1,114inferno
421train
388vertigo
206office
154italy
100aztec

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

Faceit stats

Combat

43Matches
42%Win rate
0.79Avg K/D
60.4ADR
57%Headshot %

Clutches & streaks

47%1v1 clutch win
12%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21354%0.7410.8
Mirage1127%0.8112.6
Inferno633%1.1414.7
Nuke580%0.7710.4
Ancient250%0.7814.5
Anubis250%0.6813.5
Cache20%0.549.0
Vertigo10%0.244.0

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.

26.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.0%Spray accuracy
75.9%Counter-strafing
10.9°Preaim
677msReaction time
30.5%T opening success
34.7%CT opening success
0.46Enemies flashed / flash
3.4%Flash assists
4.06HE damage / grenade
13.23Flashes / 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 0.4575 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 30.5419% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo2–13-0.0620%30 Aug
dust24–13-0.0528%30 Aug
anubis1–13-0.1042%30 Aug
cache13–9-0.0131%30 Aug
cache0–2-0.080%30 Aug
inferno13–80.0722%30 Aug
nuke13–60.0126%30 Aug
cache13–9-0.1226%29 Aug
mirage8–13-0.1013%29 Aug
ancient11–13-0.0419%29 Aug
nuke13–6-0.0121%29 Aug
mirage6–130.0022%29 Aug
dust213–60.0333%29 Aug
inferno4–130.0340%28 Aug
cache11–130.0224%28 Aug
nuke8–13-0.0426%28 Aug
mirage13–70.0529%28 Aug
vertigo13–9-0.0126%28 Aug
anubis13–10-0.0518%28 Aug
train13–10-0.0029%28 Aug
cache13–10-0.0124%28 Aug
dust27–13-0.0530%27 Aug
ancient13–8-0.0630%27 Aug
mirage12–12-0.0425%27 Aug
ancient10–130.0331%27 Aug
vertigo9–70.0632%27 Aug
poseidon0–9-0.1820%27 Aug
vertigo3–9-0.1818%27 Aug
vertigo8–8-0.1215%27 Aug
debris9–7-0.0232%27 Aug
debris9–30.0922%27 Aug
vertigo2–9-0.1418%27 Aug
vertigo8–80.0531%27 Aug
poseidon2–9-0.0925%27 Aug
vertigo5–90.0224%27 Aug
vertigo9–5-0.0223%27 Aug
mirage13–80.0132%27 Aug
nuke10–130.0129%27 Aug
mirage13–8-0.0618%27 Aug
cache6–13-0.0329%27 Aug
dust213–110.0129%27 Aug
ancient7–13-0.0118%27 Aug
ancient4–13-0.0127%26 Aug
office13–90.0032%25 Aug
office13–60.0622%25 Aug
nuke8–10.0427%25 Aug
vertigo7–13-0.0413%23 Aug
mirage13–11-0.0419%23 Aug
anubis13–60.0113%23 Aug
dust213–11-0.0128%23 Aug
office13–100.0533%23 Aug
nuke10–13-0.0115%23 Aug
dust26–13-0.0324%23 Aug
cache13–30.0539%23 Aug
office13–7-0.0328%23 Aug
dust29–13-0.0220%23 Aug
anubis13–10-0.0419%21 Aug
mirage13–11-0.0228%21 Aug
dust213–8-0.0119%21 Aug
inferno2–13-0.1033%21 Aug
dust24–13-0.070%19 Aug
mirage4–13-0.1115%19 Aug
dust212–120.0118%19 Aug
mirage6–130.0917%19 Aug
mirage2–13-0.0123%19 Aug
dust21–13-0.0526%19 Aug
dust211–13-0.0513%18 Aug
nuke2–13-0.0015%18 Aug
dust213–50.0123%18 Aug
nuke13–110.0124%18 Aug
nuke6–13-0.0321%18 Aug
mirage13–100.0240%17 Aug
mirage3–13-0.0414%17 Aug
nuke10–130.0714%16 Aug
inferno12–12-0.0522%15 Aug
italy13–7-0.0217%15 Aug
nuke11–13-0.0318%15 Aug
inferno9–3-0.0220%14 Aug
inferno1–9-0.1914%14 Aug
debris5–90.0512%14 Aug
nuke13–6-0.0131%14 Aug
nuke9–130.0531%14 Aug
dust26–13-0.0220%14 Aug
dust25–13-0.0218%14 Aug
mirage13–40.0635%14 Aug
ancient8–130.2124%14 Aug
cache7–130.1029%14 Aug
train2–13-0.0121%14 Aug
mirage1–13-0.0533%14 Aug
nuke10–130.0230%14 Aug
nuke13–60.1223%13 Aug
mirage4–13-0.0813%12 Aug
cache13–100.0425%12 Aug
inferno5–13-0.0126%12 Aug
train13–50.1322%12 Aug
train7–13-0.0236%12 Aug
vertigo13–100.0526%11 Aug
inferno13–20.1124%11 Aug
cache13–110.0518%11 Aug
mirage5–130.0020%10 Aug

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 →