KingChico ⛟

KingChico ⛟ — CS2 Stats

76561198071523113[U:1:111257385]Steam profile ↗✓ No bans

4,339Tracked matches44%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating19,169Top 50% of 204,219 CSDB-tracked playersPurple band · top ~11.8% of ranked players (population est.)
CSDB Leaderboard#93446 of 251358 tracked
FaceitLevel 10 · 2,007 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (3 days ago). 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: 19,169 -1,423 1 Sept – 10 Oct · 15 days played
19,16922,499peak 22,4991 Sept10 Oct
Faceit ELO: 2,007 +0 1 Sept – 25 Sept · 5 observations
2,0072,007peak 2,0071 Sept25 Sept
22,499Peak Premier in tracked matches
2,007Highest Faceit ELO seen on CSDB
21Days played since 2026-09-01

Faceit ELO

  • At peak — 2,007
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 493 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • 3,330 below peak (22,499)
  • -2,059 over 30 days · declining
  • Next: Pink band at 20,000 — 831 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.GGKingChico ⛟FACEITLevel 10 · 2,007 ELOSTANDINGTop 12.4% of rankedPREMIER19,169 · Purple band30 DAYS0 ELOPEAK ELO2,007csdb.gg/stats

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Performance scores

Aim82
Positioning63
Utility60

0–100 skill scores via Leetify.

Recent form

COLD47–44–9Last 10047%Win rateTLLLWTWWLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +4.1pp headshot accuracy · −28ms reaction

Win rate −10pp 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 546ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 531ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 545ms

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 (+1.2 against its own average).

Aim8.2
Utility6.0
Positioning6.3
Opening Duels4.2
Clutch3.8

Strong CT-side opener

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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 555ms 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

Aim8.2
Positioning6.3
Utility6.0
Mechanics7.3
Opening Duels4.3
Win Impact3.0

Composite 6.4/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time549ms−21ms
first ⅓ avg 571ms → last ⅓ avg 549ms
Headshot accuracy18.4%−3.5%
first ⅓ avg 21.9% → 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.

Personal bests

0.17Best match rating · 13–1 · ancient, 28 Sept →
40%Best headshot accuracy · 1–3 · train, 20 Sept →
289msFastest reaction time · 0–3 · inferno, 2 Oct →
13–1Biggest win · train, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 100% over 6overpassWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheC229–1341%0.02
ancientC208–1240%0.03
trainA169–756%-0.01
overpassD113–827%0.03
anubisD72–529%0.01
nukeS76–186%0.04
vertigoS66–0100%0.01
dust2—41–325%-0.02
inferno—42–250%0.00
mirage—31–233%-0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,158Matches
51%Win rate
1.11Avg K/D
79.5ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno11854%1.1215.8
Nuke9466%1.0515.1
Ancient8745%1.0417.2
Anubis8451%1.0415.9
Mirage6022%0.8313.8
Overpass5768%1.0816.4
Dust24129%1.0315.1
Train2065%1.3717.1

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.

18.6%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.5%Spray accuracy
83.0%Counter-strafing
8.6°Preaim
555msReaction time
39.9%T opening success
54.7%CT opening success
0.53Enemies flashed / flash
7.0%Flash assists
8.61HE damage / grenade
19.38Flashes / 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 39.8644% — below the 40% mark we flag

Spend your practice time on Overpass

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0027%12 Oct →
ancient10–130.0022%12 Oct →
train2–13-0.109%12 Oct →
overpass7–130.0318%12 Oct →
cache13–110.0720%11 Oct →
overpass12–120.0416%11 Oct →
train13–90.0424%11 Oct →
vertigo13–3-0.0525%11 Oct →
cache9–13-0.0321%11 Oct →
ancient6–13-0.1019%10 Oct →
cache13–11-0.0111%10 Oct →
ancient13–110.016%10 Oct →
cache13–110.0116%10 Oct →
ancient12–120.0611%10 Oct →
ancient7–130.0010%9 Oct →
overpass11–130.1122%9 Oct →
train13–7-0.0024%9 Oct →
cache12–120.0417%9 Oct →
ancient10–13-0.0214%8 Oct →
cache9–130.0328%8 Oct →
ancient10–13-0.0011%8 Oct →
cache7–13-0.0323%8 Oct →
cache12–120.0528%7 Oct →
cache13–50.1420%7 Oct →
train11–13-0.0322%7 Oct →
cache13–30.1123%7 Oct →
cache4–13-0.049%7 Oct →
train13–6-0.0121%6 Oct →
train13–7-0.0317%6 Oct →
ancient6–130.0825%6 Oct →
dust211–130.008%6 Oct →
inferno10–130.0319%6 Oct →
anubis11–13-0.0420%6 Oct →
ancient13–100.0213%5 Oct →
nuke13–110.0129%5 Oct →
overpass3–13-0.0328%5 Oct →
train12–12-0.0313%5 Oct →
anubis5–13-0.0030%5 Oct →
train13–50.0428%4 Oct →
overpass8–130.0220%4 Oct →
cache2–13-0.0114%4 Oct →
vertigo13–50.1313%4 Oct →
ancient4–130.0226%4 Oct →
mirage13–10-0.0313%4 Oct →
ancient13–30.0713%3 Oct →
train13–40.0714%3 Oct →
overpass8–130.0930%3 Oct →
nuke9–3-0.0220%3 Oct →
ancient13–70.0412%3 Oct →
cache12–12-0.0423%3 Oct →
vertigo13–9-0.0524%3 Oct →
inferno0–3-0.060%2 Oct →
anubis12–160.0525%2 Oct →
inferno13–70.0117%2 Oct →
overpass13–7-0.0119%2 Oct →
vertigo13–50.0119%2 Oct →
ancient13–110.0018%2 Oct →
overpass9–13-0.0222%2 Oct →
train5–13-0.0436%1 Oct →
cache13–70.1324%1 Oct →
inferno13–90.0413%1 Oct →
ancient11–130.0721%1 Oct →
vertigo13–70.0122%1 Oct →
anubis12–16-0.0816%30 Sept →
nuke3–13-0.0322%30 Sept →
cache13–40.0128%30 Sept →
ancient12–120.0313%30 Sept →
overpass13–40.0523%30 Sept →
train13–10.0016%30 Sept →
ancient13–40.1515%29 Sept →
cache1–13-0.0128%28 Sept →
train13–70.0013%28 Sept →
nuke13–9-0.0024%28 Sept →
nuke13–30.0925%28 Sept →
ancient13–10.1722%28 Sept →
nuke13–50.0722%28 Sept →
mirage2–7-0.1125%27 Sept →
anubis13–90.026%27 Sept →
train6–13-0.0029%27 Sept →
cache10–13-0.0312%27 Sept →
vertigo13–90.0326%27 Sept →
overpass13–100.036%27 Sept →
train12–120.0513%27 Sept →
ancient10–13-0.0320%22 Sept →
train13–3-0.0322%21 Sept →
overpass2–40.0331%21 Sept →
cache13–30.0314%21 Sept →
dust29–130.0130%20 Sept →
train1–3-0.1540%20 Sept →
cache4–13-0.0138%20 Sept →
anubis10–130.0430%20 Sept →
dust213–6-0.018%19 Sept →
ancient11–130.0030%19 Sept →
cache13–60.0426%19 Sept →
mirage10–130.0115%19 Sept →
dust26–13-0.0717%18 Sept →
cache6–13-0.0524%18 Sept →
nuke13–40.1522%18 Sept →
ancient13–20.0730%18 Sept →
anubis13–80.0520%18 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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