KIM DONKeY KONG JONG — CS2 Stats

76561198207352060[U:1:247086332]

531Tracked matches45%Win rate2020Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating17,996Purple band · top ~16.5% of ranked players (population est.)
CSDB Leaderboard#7844 of 14270 tracked
Ladder ranks via Leetify

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CSDB.GGKIM DONKeY KONG JONGPREMIER17,996 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning49
Utility46

0–100 skill scores via Leetify.

Recent form

HOT49483Last 10049%Win rateWWWWWWWWLL

Last 10 vs previous 10: +80pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression6.4
Utility4.6
Positioning4.9
Opening Duels1.9

Strong CT-side openerLimited 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 85% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 50% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 722ms 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

Aim6.4
Positioning4.9
Utility4.6
Mechanics7.3
Opening Duels2.5
Win Impact3.3

Composite 5.3/10 (Developing), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time721ms+32ms
first ⅓ avg 689ms → last ⅓ avg 721ms
Headshot accuracy26.9%+3.0%
first ⅓ avg 23.9% → last ⅓ avg 26.9%

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

0.09Best rating — dust2 13–3
132Biggest win — ancient
8Longest win streak
W8Current streak
117In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 64% over 28nukeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A28181064%-0.02
mirageC2291341%-0.01
ancientC1771041%-0.03
anubisB147750%-0.03
cacheB126650%-0.01
nukeD5050%-0.06
overpass110100%-0.02
inferno110100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.5%Headshot accuracy
31.1%Accuracy (enemy spotted)
37.2%Spray accuracy
82.8%Counter-strafing
10.2°Preaim
722msReaction time
25.3%T opening success
50.2%CT opening success
0.61Enemies flashed / flash
3.1%Flash assists
8.36HE damage / grenade
4.93Flashes / 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 721.9752ms — above the 700ms mark we flag

    Aim Training
  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 25.3494% — below the 40% mark we flag

Spend your practice time on Nuke

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–60.0422%15 Aug
cache13–8-0.0724%12 Aug
ancient13–20.0831%8 Aug
dust213–10-0.0528%8 Aug
cache13–3-0.0321%8 Aug
mirage16–12-0.0127%4 Aug
anubis13–11-0.0015%2 Aug
anubis13–8-0.0521%2 Aug
cache8–13-0.0414%1 Aug
anubis11–13-0.0615%1 Aug
nuke3–13-0.0838%1 Aug
ancient7–13-0.0830%1 Aug
cache6–13-0.0226%25 Jul
ancient7–13-0.0543%25 Jul
mirage4–13-0.078%24 Jul
dust24–13-0.0414%24 Jul
cache3–120.0065%24 Jul
dust25–13-0.0432%22 Jul
cache7–130.0235%20 Jul
mirage6–13-0.0744%20 Jul
cache11–13-0.0139%19 Jul
dust21–13-0.0518%19 Jul
anubis13–50.0211%18 Jul
ancient11–13-0.0330%17 Jul
cache13–70.0329%15 Jul
dust213–9-0.0422%15 Jul
cache10–13-0.0522%14 Jul
ancient15–15-0.0615%14 Jul
cache13–6-0.0139%13 Jul
dust213–50.0334%11 Jul
anubis8–130.0031%11 Jul
dust216–12-0.0317%11 Jul
dust213–30.0931%9 Jul
mirage13–70.0033%30 Jun
mirage5–13-0.0129%28 Jun
mirage8–13-0.0456%27 Jun
nuke8–13-0.0721%27 Jun
dust213–4-0.0545%13 Jun
nuke9–13-0.0626%7 Jun
dust213–70.0430%7 Jun
dust23–13-0.1138%9 May
cache13–9-0.0130%5 May
cache13–20.0329%30 Apr
dust27–13-0.0419%26 Apr
ancient13–40.0114%26 Apr
dust216–13-0.0217%26 Apr
ancient7–13-0.0513%24 Apr
anubis10–13-0.0433%20 Apr
dust213–11-0.0223%17 Apr
nuke6–13-0.0833%16 Apr
dust210–13-0.0626%11 Apr
mirage15–15-0.0127%11 Apr
mirage7–13-0.0133%11 Apr
dust213–11-0.0115%11 Apr
ancient7–13-0.0416%5 Apr
mirage13–110.0315%5 Apr
ancient13–40.0331%5 Apr
anubis13–110.0321%5 Apr
anubis10–13-0.0915%4 Apr
mirage16–120.0318%4 Apr
ancient9–13-0.0710%2 Apr
mirage10–13-0.0220%1 Apr
mirage11–13-0.0323%31 Mar
dust213–5-0.0429%31 Mar
nuke10–13-0.0418%30 Mar
mirage10–13-0.0423%29 Mar
mirage9–13-0.0612%28 Mar
anubis16–14-0.0425%25 Mar
mirage13–40.0538%24 Mar
dust216–14-0.0022%24 Mar
ancient9–13-0.0510%23 Mar
dust211–130.0115%23 Mar
dust211–13-0.0716%22 Mar
anubis13–9-0.0430%22 Mar
mirage8–13-0.0231%21 Mar
dust215–15-0.0224%21 Mar
anubis7–13-0.058%21 Mar
mirage13–70.0629%18 Mar
dust216–12-0.0013%18 Mar
dust213–11-0.0626%18 Mar
ancient13–70.0118%18 Mar
overpass13–8-0.0216%17 Mar
ancient9–13-0.0414%17 Mar
dust213–8-0.0129%16 Mar
mirage9–13-0.0222%15 Mar
anubis0–6-0.0640%15 Mar
inferno13–5-0.0110%15 Mar
ancient5–13-0.0925%15 Mar
mirage13–4-0.0121%15 Mar
mirage13–7-0.0227%14 Mar
dust213–70.0531%14 Mar
ancient13–11-0.0738%14 Mar
mirage8–13-0.0524%14 Mar
dust216–14-0.0716%14 Mar
ancient13–11-0.0421%13 Mar
anubis7–13-0.0426%13 Mar
ancient13–40.0225%13 Mar
dust213–5-0.0043%13 Mar
anubis13–10-0.0329%13 Mar
dust214–16-0.0227%13 Mar

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 →