Kingi

Kingi — CS2 Stats

US76561198809549175[U:1:849283447]Steam profile ↗✓ No bans

1,282Tracked matches47%Win rate2020Tracked since
1,920Hours in CS3Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating22,206Top 50% of 204,219 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#51617 of 251366 tracked
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: 22,206 -5,350 26 Jun – 10 Oct · 27 days played
21,01228,125peak 28,12526 Jun10 Oct
28,125Peak Premier in tracked matches
34Days played since 2026-06-26

Premier CS Rating

  • 5,919 below peak (28,125)
  • -270 over 30 days · steady
  • -5,919 over 90 days
  • Next: Red band at 25,000 — 2,794 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 rate44.5%46.9%49.2%4.7% short
Shot accuracy8.4%13.0%13.4%4.9% short
Kill/death ratio1.111.081.12meets
Match win rate51.9%46.7%48.5%above

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

Widest gap: Shot accuracy. 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.GGKingiPREMIER22,206 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning51
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLWWWLLWLWL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · +0.7pp headshot accuracy · +191ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 617ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 625ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 529ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim8.5
Utility5.1
Positioning5.1
Opening Duels3.9
Clutch2.8

Sharp aimerStrong 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

device

Plays most like device 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5
Positioning5.1
Utility5.1
Mechanics7.6
Opening Duels3.7
Win Impact3.9

Composite 6.4/10 (Solid), 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 time537ms−67ms
first ⅓ avg 604ms → last ⅓ avg 537ms
Headshot accuracy17.7%+1.6%
first ⅓ avg 16.0% → last ⅓ avg 17.7%

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

0.12Best match rating · 13–8 · cache, 12 Jul →
54%Best headshot accuracy · 4–11 · mirage, 29 Aug →
422msFastest reaction time · 4–11 · mirage, 29 Aug →
13–1Biggest win · nuke, 12 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–5In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 80% over 5infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageD217–1433%-0.01
ancientC197–1237%-0.02
anubisA1610–663%0.00
nukeB168–850%-0.02
cacheS128–467%0.01
infernoD71–614%-0.02
dust2S54–180%-0.02
vertigo—20–20%0.01
train—10–10%0.07
overpass—11–0100%0.03

Across the last 100 tracked matches.

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

Lifetime stats

46,612Lifetime kills
1.11K/D · Top 50% of Pink band
2,508Matches
51.9%Match win rate · Top 25% of Pink band
44.5%Headshot %
8.4%Shot accuracy
6,086MVPs
1,027Hours (in match)
2,097Bombs planted
648Bombs defused

Most-used weapons

AK-4715,888
AWP2,924
SG 5531,395
AUG1,309
MP91,287
MAC-101,198

Lifetime map wins

3,291nuke
3,005inferno
1,689train
1,527dust2
728vertigo
253office
191cbble
142lake

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

Faceit stats

Combat

486Matches
54%Win rate
1.18Avg K/D
79.8ADR
42%Headshot %

Clutches & streaks

34%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7753%1.0214.8
Anubis4553%1.0914.9
Nuke2959%1.2017.0
Inferno2357%1.1815.2
Dust22348%1.0714.8
Ancient2050%1.1716.4
Train1070%1.7317.6
Cache5100%1.0413.8

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.

19.0%Headshot accuracy
36.3%Accuracy (enemy spotted)
40.8%Spray accuracy
84.1%Counter-strafing
8.5°Preaim
530msReaction time
32.2%T opening success
57.0%CT opening success
0.50Enemies flashed / flash
6.4%Flash assists
7.98HE damage / grenade
5.18Flashes / 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 32.2198% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0421%10 Oct →
dust213–4-0.0512%9 Oct →
dust211–1-0.034%9 Oct →
inferno13–20.0111%9 Oct →
inferno0–3-0.0520%5 Oct →
ancient0–5-0.130%18 Sept →
cache13–10-0.0230%18 Sept →
inferno8–13-0.0513%17 Sept →
mirage13–2-0.0124%17 Sept →
ancient0–3-0.0850%15 Sept →
ancient1–6-0.080%12 Sept →
mirage4–110.0254%29 Aug →
cache13–8-0.0413%27 Aug →
mirage13–16-0.0319%21 Aug →
inferno8–130.0219%21 Aug →
anubis13–90.0421%21 Aug →
mirage9–13-0.0712%21 Aug →
nuke1–5-0.110%20 Aug →
train10–130.0721%20 Aug →
nuke13–80.0119%19 Aug →
dust213–100.0513%19 Aug →
cache13–60.0627%19 Aug →
anubis7–13-0.0214%13 Aug →
mirage11–130.0414%12 Aug →
ancient13–11-0.0116%12 Aug →
anubis16–14-0.0420%10 Aug →
mirage13–100.0229%10 Aug →
cache1–7-0.1043%10 Aug →
ancient0–2-0.110%10 Aug →
nuke13–60.0116%10 Aug →
anubis13–4-0.014%10 Aug →
ancient13–8-0.0112%9 Aug →
nuke3–13-0.0912%9 Aug →
ancient13–160.0116%9 Aug →
anubis13–9-0.038%9 Aug →
ancient0–13-0.040%9 Aug →
cache13–30.0122%9 Aug →
anubis13–6-0.034%8 Aug →
mirage6–13-0.0618%8 Aug →
cache15–150.0413%8 Aug →
nuke13–2-0.0319%8 Aug →
cache7–130.0415%6 Aug →
mirage15–15-0.0125%6 Aug →
anubis5–13-0.0215%3 Aug →
ancient13–100.0128%3 Aug →
mirage15–15-0.0330%3 Aug →
anubis13–60.0610%3 Aug →
ancient15–150.0116%2 Aug →
ancient13–6-0.0316%2 Aug →
mirage8–13-0.0218%2 Aug →
nuke13–110.0325%2 Aug →
ancient13–50.0214%2 Aug →
nuke13–9-0.0011%2 Aug →
ancient14–16-0.0124%2 Aug →
mirage15–15-0.069%2 Aug →
anubis4–13-0.0016%1 Aug →
inferno7–13-0.0119%1 Aug →
nuke13–11-0.0211%1 Aug →
vertigo9–13-0.0110%31 Jul →
vertigo8–130.0321%31 Jul →
anubis3–13-0.0122%30 Jul →
ancient11–13-0.0121%30 Jul →
mirage13–110.0415%30 Jul →
inferno15–15-0.0220%28 Jul →
nuke15–15-0.0112%28 Jul →
mirage13–30.0520%28 Jul →
anubis13–80.0613%28 Jul →
anubis13–50.0412%28 Jul →
ancient10–13-0.0414%28 Jul →
cache13–4-0.0127%28 Jul →
nuke9–130.0425%27 Jul →
cache2–13-0.0521%27 Jul →
nuke10–130.0316%27 Jul →
anubis7–130.0411%27 Jul →
dust24–13-0.0714%27 Jul →
ancient9–13-0.0118%26 Jul →
mirage13–16-0.0317%26 Jul →
cache16–14-0.0613%26 Jul →
mirage13–70.0618%26 Jul →
anubis11–130.0112%26 Jul →
mirage8–130.0020%20 Jul →
anubis13–90.0023%19 Jul →
nuke7–13-0.0010%18 Jul →
nuke5–13-0.109%12 Jul →
ancient13–30.0219%12 Jul →
ancient13–30.048%12 Jul →
mirage6–13-0.0712%12 Jul →
nuke13–1-0.029%12 Jul →
cache13–80.1218%12 Jul →
mirage13–7-0.0117%12 Jul →
overpass16–120.0317%2 Jul →
mirage6–130.0014%2 Jul →
anubis16–13-0.0615%1 Jul →
mirage13–90.0217%1 Jul →
dust213–5-0.0123%1 Jul →
nuke13–100.0126%1 Jul →
mirage13–16-0.0517%27 Jun →
ancient7–130.0110%27 Jun →
nuke3–13-0.039%26 Jun →
cache13–60.0920%26 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 →

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