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KiNG

KiNG — CS2 Stats

76561197963615839[U:1:3350111]Steam profile ↗✓ No bans

2,023Tracked matches38%Win rate2020Tracked since
7,738Hours in CS
CSDB Rating4.7 DevelopingPassive Rifler
Premier CS Rating28,052Top 5% of 17,162 CSDB-tracked playersRed band · top ~1.5% of ranked players (population est.)
CSDB Leaderboard#522 of 28657 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=1,873), 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 playerRed band median
Headshot rate59.7%49.9%
Shot accuracy18.4%13.4%
Kill/death ratio1.241.12
Match win rate52.6%48.4%

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CSDB.GGKiNGPREMIER28,052 · Red bandcsdb.gg/stats

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Performance scores

Aim81
Positioning30
Utility23

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateLWLLLLLLWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.1
Aggression2.7
Utility2.3
Positioning3.0
Opening Duels0.0

Limited utility dependence

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 75% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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 51 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.

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

Aim8.1
Positioning3.0
Utility2.3
Mechanics6.6
Opening Duels0.2
Win Impact1.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.06
first ⅓ avg 0.03 → last ⅓ avg -0.03
Reaction time468ms−120ms
first ⅓ avg 588ms → last ⅓ avg 468ms
Headshot accuracy19.0%−9.7%
first ⅓ avg 28.7% → last ⅓ avg 19.0%

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

0.24Best rating — inferno 13–8
13–0Biggest win — mirage
7Longest win streak
1–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 83% over 6infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C4118–2344%0.02
mirageA2615–1158%0.05
infernoC114–736%0.03
ancientS65–183%0.04
nukeB63–350%0.06
cacheA53–260%0.10
anubis—42–250%-0.02
overpass—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

435,941Lifetime kills
1.24K/D · Top 50% of Red band
12,273Matches
52.6%Match win rate · Top 25% of Red band
59.7%Headshot % · Top 25% of Red band
18.4%Shot accuracy · Top 10% of Red band
40,479MVPs
7,738Hours (in match)
13,745Bombs planted
5,776Bombs defused

Most-used weapons

AK-47172,526
M4A4 / M4A1-S66,519
P2000 / USP-S35,073
AWP31,689
Desert Eagle19,148
Glock-1812,717
Molotov11,155
FAMAS9,123
Knife8,803
Galil AR7,899

Lifetime map wins

37,628dust2
14,848inferno
6,819nuke
5,310train
4,000cbble
3,621vertigo
241office
166lake

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

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
31.4%Accuracy (enemy spotted)
41.3%Spray accuracy
79.7%Counter-strafing
7.0°Preaim
534msReaction time
28.5%T opening success
31.4%CT opening success
0.40Enemies flashed / flash
1.7%Flash assists
8.43HE damage / grenade
3.20Flashes / 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 0.3957 — 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 28.4707% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0119%3 Aug →
inferno13–10-0.0420%2 Aug →
mirage13–160.0120%2 Aug →
mirage2–13-0.0226%2 Aug →
dust26–13-0.0715%2 Aug →
dust211–130.0030%25 Jul →
anubis4–13-0.117%25 Jul →
dust20–13-0.050%25 Jul →
ancient13–5-0.060%24 Jul →
dust20–13-0.010%24 Jul →
dust24–13-0.1211%24 Jul →
dust213–90.0113%19 Jul →
dust212–12-0.0116%19 Jul →
dust27–130.0020%19 Jul →
dust21–7-0.0522%19 Jul →
anubis0–13-0.110%19 Jul →
dust20–2-0.010%19 Jul →
mirage1–13-0.030%19 Jul →
anubis13–10.0121%19 Jul →
inferno14–16-0.0315%19 Jul →
dust20–11-0.06100%13 Jul →
dust213–3-0.050%13 Jul →
mirage13–00.0319%13 Jul →
nuke13–00.0367%13 Jul →
mirage13–1-0.0243%13 Jul →
mirage13–20.0121%13 Jul →
dust213–4-0.1313%13 Jul →
mirage0–13-0.080%13 Jul →
dust213–0-0.0140%13 Jul →
dust211–13-0.0125%13 Jul →
dust213–50.0717%13 Jul →
dust20–13-0.060%13 Jul →
inferno2–13-0.0629%13 Jul →
ancient13–40.1317%13 Jul →
dust213–30.0123%13 Jul →
cache3–13-0.0747%13 Jul →
anubis13–20.1217%13 Jul →
mirage13–00.1739%13 Jul →
mirage13–00.1425%13 Jul →
dust23–5-0.0532%13 Jul →
mirage13–70.1927%13 Jul →
dust213–10.1534%13 Jul →
mirage0–13-0.0422%13 Jul →
mirage12–10.1226%13 Jul →
mirage13–3-0.0260%13 Jul →
dust214–160.1425%13 Jul →
mirage13–1-0.030%13 Jul →
dust213–50.1024%13 Jul →
cache13–60.1331%12 Jul →
dust211–130.0935%12 Jul →
dust216–130.1035%12 Jul →
inferno4–130.0326%12 Jul →
inferno13–20.1218%12 Jul →
cache13–40.2122%12 Jul →
mirage13–80.0735%12 Jul →
dust213–40.2224%12 Jul →
mirage13–80.1330%12 Jul →
inferno13–30.0727%12 Jul →
mirage13–110.2137%12 Jul →
inferno8–130.0336%12 Jul →
mirage13–00.2129%12 Jul →
dust213–100.1641%12 Jul →
nuke10–130.0124%12 Jul →
mirage13–40.1142%12 Jul →
cache13–40.1236%12 Jul →
ancient16–130.0625%12 Jul →
cache4–130.0832%12 Jul →
mirage13–80.1527%12 Jul →
dust213–70.1130%12 Jul →
dust213–80.0434%12 Jul →
dust213–90.1232%12 Jul →
ancient13–90.0436%12 Jul →
mirage6–13-0.0315%12 Jul →
dust24–12-0.0826%12 Jul →
dust213–90.1229%12 Jul →
ancient1–130.0129%12 Jul →
mirage6–130.0934%11 Jul →
dust213–40.0222%11 Jul →
nuke13–40.0334%11 Jul →
inferno3–13-0.0827%11 Jul →
dust213–00.1141%11 Jul →
ancient13–40.0431%11 Jul →
nuke7–40.1226%11 Jul →
dust215–150.0429%11 Jul →
mirage10–130.0122%1 Jul →
dust27–13-0.0124%1 Jul →
mirage1–2-0.0714%1 Jul →
mirage10–13-0.0221%1 Jul →
inferno4–130.0429%1 Jul →
dust20–3-0.07100%1 Jul →
overpass0–13-0.040%1 Jul →
mirage2–13-0.1010%1 Jul →
dust213–8-0.0127%28 Jun →
dust212–120.0235%27 Jun →
dust211–130.0330%27 Jun →
inferno8–13-0.0219%27 Jun →
nuke6–13-0.0431%27 Jun →
nuke9–130.1723%27 Jun →
inferno13–80.2431%27 Jun →
dust21–8-0.0628%27 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 →

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