✠ kong strong shaker 🔥 — CS2 Stats

76561198257841438[U:1:297575710]

1,510Tracked matches52%Win rate2020Tracked since
CSDB Rating4.5 Developing
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim59
Positioning44
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45478Last 10045%Win rateLWLLWWLWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

Aim5.9
Aggression5.4
Utility5.4
Positioning4.4
Opening Duels1.5
Clutch3.8

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 86% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9
Positioning4.4
Utility5.4
Mechanics3.3
Opening Duels1.8
Win Impact5.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time567ms−22ms
first ⅓ avg 588ms → last ⅓ avg 567ms
Headshot accuracy21.0%+0.3%
first ⅓ avg 20.7% → last ⅓ avg 21.0%

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

0.20Best rating — anubis 13–3
131Biggest win — inferno
5Longest win streak
32In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 57% over 14cacheWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB30161453%0.02
ancientB168850%0.00
anubisA148657%0.04
nukeC145936%-0.01
vertigoB126650%0.02
cacheD6060%-0.00
overpass2020%0.03
dust221150%0.07
train2020%-0.01
fachwerk1010%-0.09
mirage110100%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

1,448Matches
51%Win rate
1.01Avg K/D
85.7ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno5645%1.0317.7
Ancient5042%0.9616.9
Mirage5048%1.0215.4
Anubis3557%0.9617.0
Nuke3259%1.0115.7
Dust22264%0.9915.9
Vertigo944%0.9118.1
Overpass956%0.9717.2

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.

21.6%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.7%Spray accuracy
64.6%Counter-strafing
10.9°Preaim
543msReaction time
27.6%T opening success
44.3%CT opening success
0.71Enemies flashed / flash
15.5%Flash assists
8.27HE damage / grenade
3.45Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4458 — below the 4 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 27.6295% — below the 40% mark we flag

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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache4–130.0320%27 Aug
inferno13–60.0632%27 Aug
vertigo11–13-0.0032%27 Aug
ancient10–13-0.0221%27 Aug
anubis13–5-0.0413%27 Aug
inferno13–60.1224%26 Aug
ancient2–13-0.0530%26 Aug
inferno7–2-0.0513%26 Aug
vertigo13–80.0122%26 Aug
inferno13–80.0527%26 Aug
inferno2–13-0.0836%25 Aug
anubis6–130.0617%24 Aug
nuke0–6-0.099%23 Aug
cache12–120.0520%23 Aug
vertigo8–20.1828%23 Aug
vertigo13–70.0132%20 Aug
inferno6–13-0.140%20 Aug
inferno8–13-0.0225%20 Aug
ancient10–13-0.0120%20 Aug
inferno9–13-0.0119%20 Aug
anubis19–17-0.0116%19 Aug
inferno8–13-0.0615%19 Aug
fachwerk1–13-0.0921%19 Aug
nuke13–40.0625%18 Aug
vertigo13–30.0123%18 Aug
overpass6–13-0.0323%18 Aug
ancient13–10-0.0615%17 Aug
inferno13–10.0122%17 Aug
inferno13–10-0.0227%17 Aug
inferno13–4-0.0113%17 Aug
anubis13–30.2025%16 Aug
inferno19–22-0.0413%16 Aug
vertigo13–90.0114%16 Aug
inferno13–70.0921%16 Aug
nuke9–13-0.0322%16 Aug
ancient13–10.0723%16 Aug
anubis13–100.1321%16 Aug
dust213–60.1023%15 Aug
inferno13–110.0129%13 Aug
anubis1–9-0.057%5 Aug
anubis13–100.0740%3 Aug
anubis12–160.0519%2 Aug
inferno13–100.0518%2 Aug
nuke12–16-0.0218%1 Aug
anubis8–13-0.0016%1 Aug
anubis13–90.1315%1 Aug
inferno10–130.0114%31 Jul
nuke10–130.0627%30 Jul
inferno13–50.0016%30 Jul
ancient9–130.0227%30 Jul
inferno8–80.0521%30 Jul
inferno1–13-0.0013%28 Jul
nuke13–70.0622%28 Jul
inferno13–70.0113%28 Jul
nuke12–12-0.0817%27 Jul
ancient13–8-0.0213%27 Jul
nuke16–13-0.0216%27 Jul
ancient13–80.0417%27 Jul
ancient13–60.0111%27 Jul
nuke6–13-0.0718%26 Jul
anubis6–130.0215%26 Jul
inferno13–100.0919%26 Jul
inferno9–13-0.0213%26 Jul
vertigo10–13-0.0130%25 Jul
overpass12–120.0916%25 Jul
inferno12–120.0120%25 Jul
inferno16–130.1217%25 Jul
anubis15–15-0.0422%25 Jul
nuke10–130.0225%24 Jul
ancient10–13-0.0524%24 Jul
nuke13–11-0.0212%23 Jul
ancient13–100.0825%23 Jul
inferno8–130.0122%23 Jul
nuke13–40.0110%22 Jul
train9–13-0.0224%22 Jul
vertigo7–13-0.0017%22 Jul
ancient6–13-0.0416%10 Jul
ancient13–80.0114%5 Jul
dust26–130.0315%4 Jul
vertigo12–120.0330%4 Jul
anubis13–80.0323%4 Jul
inferno10–130.0113%4 Jul
mirage13–80.0116%3 Jul
cache10–13-0.0321%1 Jul
cache5–13-0.0429%30 Jun
ancient4–130.0620%30 Jun
cache8–130.0626%30 Jun
vertigo4–13-0.0745%29 Jun
vertigo11–130.0224%29 Jun
inferno13–10.1526%29 Jun
vertigo13–100.0125%27 Jun
anubis13–60.0515%27 Jun
cache3–13-0.1017%27 Jun
train2–13-0.0024%26 Jun
ancient12–12-0.0013%26 Jun
inferno10–130.0623%26 Jun
nuke6–13-0.0117%26 Jun
ancient13–90.0110%25 Jun
inferno13–90.1120%25 Jun
nuke6–13-0.0122%25 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 →