✟Kingo✟

✟Kingo✟ — CS2 Stats

DK76561198778610761[U:1:818345033]Steam profile ↗✓ No bans

638Tracked matches66%Win rate2025Tracked since
707Hours in CS6Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating9,800Light Blue band · top ~55.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (9 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: 9,800 +2,217 25 Aug – 17 Oct · 13 days played
6,82110,000peak 10,00025 Aug17 Oct
10,111Peak Premier in tracked matches
26Days played since 2026-08-23

Premier CS Rating

  • 200 below peak (10,000)
  • +380 over 30 days · steady
  • Next: Blue band at 10,000 — 200 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-16

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate43.3%39.9%42.0%above
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.770.920.980.21 short
Match win rate41.9%42.3%43.8%1.9% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG✟Kingo✟PREMIER9,800 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning59
Utility37

0–100 skill scores via Leetify.

Recent form

HOT48–46–6Last 10048%Win rateLLLWWWWWWW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −2.4pp headshot accuracy · +28ms reaction

Win rate up 30pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 831ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 762ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 748ms

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 (+2.4 against its own average).

Aim3.8
Utility3.7
Positioning5.9
Opening Duels4.4
Clutch0.0

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

s1mple

Plays most like s1mple 66% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 747ms 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

Aim3.8
Positioning5.9
Utility3.7
Mechanics6.5
Opening Duels6.3
Win Impact10.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time748ms+35ms
first ⅓ avg 713ms → last ⅓ avg 748ms
Headshot accuracy16.9%+4.5%
first ⅓ avg 12.4% → last ⅓ avg 16.9%

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.

Personal bests

0.09Best match rating · 9–3 · inferno, 30 Aug →
29%Best headshot accuracy · 13–1 · inferno, 10 Oct →
523msFastest reaction time · 13–6 · mirage, 10 Oct →
13–1Biggest win · inferno, 10 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
1–10In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 67% over 6cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB147–750%-0.00
dust2B136–746%-0.06
nukeC135–838%-0.03
ancientA127–558%-0.03
anubisB126–650%-0.03
vertigoA116–555%0.00
infernoC94–544%-0.03
cacheD62–433%0.01
overpassS64–267%-0.04
office—20–20%-0.06
fachwerk—11–0100%0.02
poseidon—10–10%-0.20

Across the last 100 tracked matches.

Lifetime stats

18,634Lifetime kills
0.77K/D
1,459Matches
41.9%Match win rate
43.3%Headshot % · Top 50% of Light Blue band
0.0%Shot accuracy
3,302MVPs
418Hours (in match)
1,154Bombs planted
190Bombs defused

Most-used weapons

Lifetime map wins

3,001inferno
1,211nuke
1,106dust2
522vertigo
331train
66office
3italy
2ar_baggage

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

Faceit stats

Combat

5Matches
0%Win rate
0.27Avg K/D
46.4ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.296.0
Ancient10%0.335.0
Inferno10%0.3813.0
Dust210%0.000.0
Overpass10%0.356.0

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.

17.0%Headshot accuracy
32.2%Accuracy (enemy spotted)
29.7%Spray accuracy
79.4%Counter-strafing
11.6°Preaim
747msReaction time
61.0%T opening success
49.7%CT opening success
0.40Enemies flashed / flash
3.4%Flash assists
3.92HE damage / grenade
11.76Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 746.9608ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.395 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.1111%19 Oct →
nuke11–13-0.0218%17 Oct →
office3–13-0.0612%17 Oct →
fachwerk13–110.0219%17 Oct →
cache13–50.0714%17 Oct →
overpass13–2-0.0715%17 Oct →
dust213–8-0.0510%17 Oct →
mirage13–60.0821%10 Oct →
vertigo13–3-0.0119%10 Oct →
overpass13–80.0320%10 Oct →
inferno13–10.0029%10 Oct →
mirage11–13-0.0115%9 Oct →
vertigo12–120.0824%3 Oct →
ancient13–30.0923%3 Oct →
nuke11–130.0027%3 Oct →
dust23–13-0.0710%3 Oct →
mirage11–13-0.0511%3 Oct →
dust213–100.0110%2 Oct →
ancient10–13-0.0122%2 Oct →
anubis16–130.0511%2 Oct →
nuke13–10-0.0111%2 Oct →
ancient10–130.0113%2 Oct →
mirage13–6-0.0319%2 Oct →
ancient13–5-0.0117%26 Sept →
dust213–10-0.0814%26 Sept →
inferno13–60.0227%26 Sept →
vertigo11–130.0316%26 Sept →
vertigo13–10.0322%26 Sept →
vertigo13–4-0.0218%26 Sept →
vertigo13–80.0819%26 Sept →
ancient12–12-0.0613%20 Sept →
anubis13–90.0317%20 Sept →
nuke2–12-0.0611%20 Sept →
vertigo13–20.015%20 Sept →
anubis13–50.0416%19 Sept →
nuke10–13-0.0113%19 Sept →
anubis11–13-0.0511%19 Sept →
mirage9–13-0.0018%19 Sept →
inferno7–9-0.0217%19 Sept →
mirage13–100.0314%18 Sept →
dust27–13-0.0315%18 Sept →
cache13–70.0416%18 Sept →
anubis5–13-0.0727%18 Sept →
dust210–13-0.0011%17 Sept →
anubis11–13-0.0316%17 Sept →
inferno9–13-0.118%15 Sept →
ancient13–5-0.0417%15 Sept →
anubis13–1-0.086%15 Sept →
mirage12–6-0.0514%14 Sept →
anubis10–13-0.0216%14 Sept →
nuke8–13-0.0517%14 Sept →
vertigo3–13-0.078%14 Sept →
dust213–3-0.1016%14 Sept →
nuke13–8-0.0211%13 Sept →
overpass3–9-0.170%13 Sept →
inferno7–13-0.0411%11 Sept →
dust24–13-0.0623%10 Sept →
mirage13–50.0212%10 Sept →
ancient13–8-0.0113%6 Sept →
anubis13–7-0.0217%6 Sept →
vertigo12–12-0.0522%5 Sept →
nuke13–10-0.0410%5 Sept →
anubis4–8-0.0614%5 Sept →
ancient13–5-0.0110%5 Sept →
overpass13–6-0.018%5 Sept →
mirage13–8-0.0224%5 Sept →
cache7–13-0.006%5 Sept →
dust213–5-0.0715%5 Sept →
office12–12-0.0711%5 Sept →
ancient13–8-0.0320%3 Sept →
dust213–9-0.0611%3 Sept →
overpass2–13-0.0210%2 Sept →
nuke13–3-0.046%2 Sept →
mirage13–10-0.0410%2 Sept →
ancient13–4-0.0410%30 Aug →
nuke11–13-0.078%30 Aug →
inferno9–30.0922%30 Aug →
ancient6–13-0.113%29 Aug →
dust24–13-0.0713%29 Aug →
anubis13–5-0.0411%29 Aug →
nuke4–130.018%29 Aug →
overpass13–80.0112%29 Aug →
cache4–130.0212%29 Aug →
dust212–12-0.0215%29 Aug →
mirage13–20.0220%29 Aug →
vertigo5–13-0.0314%29 Aug →
ancient4–13-0.089%29 Aug →
mirage14–160.0115%29 Aug →
inferno2–13-0.0527%27 Aug →
cache9–13-0.0213%27 Aug →
poseidon4–9-0.2024%27 Aug →
inferno4–9-0.2114%27 Aug →
mirage7–13-0.026%25 Aug →
inferno13–100.0115%25 Aug →
anubis10–13-0.0613%25 Aug →
cache12–12-0.0410%24 Aug →
nuke13–5-0.096%24 Aug →
nuke2–12-0.0220%24 Aug →
vertigo13–50.017%24 Aug →
mirage10–130.022%23 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 →

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