KOT

KOT — CS2 Stats

JP76561199218541465[U:1:1258275737]Steam profile ↗✓ No bans

800Tracked matches46%Win rate2025Tracked since
659Hours in CS9Hrs last 2 wks
CSDB Rating2.2 Learning
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim8
Positioning52
Utility14

0–100 skill scores via Leetify.

Recent form

COLD454213Last 10045%Win rateLWTLLLWLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim0.8
Aggression7.9
Utility1.4
Positioning5.2
Opening Duels3.2
Clutch2.4

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

b1t

Plays most like b1t 70% playstyle similarity

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

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

Reaction time. 677ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 38% 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

Aim0.8
Positioning5.2
Utility1.4
Mechanics0.0
Opening Duels3.2
Win Impact3.7

Composite 2.2/10 (Learning), 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 time645ms−28ms
first ⅓ avg 672ms → last ⅓ avg 645ms
Headshot accuracy8.6%−2.3%
first ⅓ avg 10.9% → last ⅓ avg 8.6%

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

0.16Best rating — cache 13–2
130Biggest win — overpass
3Longest win streak
92In matches decided by ≤2 rounds

Map breakdown

trainBest map · 83% over 6nukeWeakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
infernoC2181338%-0.01
nukeD1941521%-0.02
dust2B147750%-0.02
anubisA95456%-0.01
mirageD82625%-0.03
cacheA85363%0.00
ancientS64267%0.00
trainS65183%-0.01
vertigo3030%-0.04
overpass330100%0.03
office32167%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,624Lifetime kills
0.67K/D
1,102Matches
39.3%Match win rate
32.9%Headshot %
0.4%Shot accuracy
1,386MVPs
357Hours (in match)
871Bombs planted
132Bombs defused

Most-used weapons

Lifetime map wins

1,618nuke
1,556dust2
698vertigo
679inferno
621office
526train
16italy
5ar_shoots

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

Faceit stats

Combat

39Matches
31%Win rate
0.67Avg K/D
65.5ADR
37%Headshot %

Clutches & streaks

32%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke956%0.7511.2
Mirage911%0.568.2
Dust2922%0.6011.4
Ancient825%0.6411.3
Cache2100%1.2918.5
Inferno10%0.9416.0
Anubis10%0.478.0

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.

8.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.2%Spray accuracy
38.0%Counter-strafing
14.1°Preaim
677msReaction time
43.3%T opening success
42.3%CT opening success
0.20Enemies flashed / flash
0.0%Flash assists
7.41HE damage / grenade
1.18Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.0799° — above the 12° mark we flag

    Aim Training
  2. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 38.0298% — below the 45% mark we flag

    Practice Config
  3. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.271% — below the 15% mark we flag

    Aim Training
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.

21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo6–9-0.0719%30 Aug
inferno9–60.0910%30 Aug
nuke12–120.018%29 Aug
ancient10–13-0.065%29 Aug
mirage8–13-0.0213%29 Aug
cache10–13-0.0611%27 Aug
cache13–100.038%23 Aug
nuke7–13-0.046%23 Aug
dust23–13-0.089%23 Aug
inferno5–9-0.044%23 Aug
dust213–110.0115%23 Aug
dust213–70.0113%18 Aug
dust213–11-0.0210%14 Aug
vertigo10–13-0.034%14 Aug
dust210–130.027%10 Aug
mirage13–7-0.038%9 Aug
inferno3–9-0.093%9 Aug
cache13–20.167%5 Aug
inferno2–9-0.098%5 Aug
inferno12–12-0.023%4 Aug
ancient10–13-0.036%4 Aug
overpass13–0-0.036%4 Aug
inferno9–4-0.008%30 Jul
inferno6–90.0720%29 Jul
mirage12–12-0.036%27 Jul
dust26–13-0.125%27 Jul
cache13–10-0.033%24 Jul
vertigo11–13-0.0311%24 Jul
inferno8–8-0.0710%24 Jul
inferno9–60.0622%23 Jul
dust212–120.049%23 Jul
nuke7–9-0.137%23 Jul
nuke8–8-0.022%21 Jul
anubis9–70.029%21 Jul
inferno10–13-0.0118%20 Jul
nuke13–5-0.055%20 Jul
nuke8–130.0011%17 Jul
nuke5–9-0.049%17 Jul
office13–11-0.0812%16 Jul
nuke3–9-0.124%16 Jul
nuke9–40.1115%15 Jul
nuke4–9-0.037%15 Jul
train13–40.044%15 Jul
nuke3–130.026%14 Jul
nuke2–90.019%14 Jul
mirage5–130.0015%13 Jul
cache13–100.026%13 Jul
nuke6–9-0.080%11 Jul
nuke9–20.1221%11 Jul
nuke3–9-0.069%11 Jul
anubis13–11-0.015%10 Jul
inferno3–10.105%10 Jul
dust212–12-0.0713%10 Jul
mirage12–12-0.0412%10 Jul
anubis13–70.038%10 Jul
inferno13–100.047%10 Jul
ancient13–30.0512%9 Jul
anubis8–130.0219%7 Jul
inferno8–13-0.018%4 Jul
train13–4-0.0010%3 Jul
inferno9–7-0.0112%3 Jul
office13–4-0.018%2 Jul
nuke12–12-0.0414%2 Jul
cache6–13-0.0815%1 Jul
ancient13–11-0.008%30 Jun
train13–4-0.047%28 Jun
inferno4–13-0.0512%28 Jun
mirage7–13-0.1021%27 Jun
anubis13–30.022%26 Jun
dust213–3-0.044%25 Jun
dust210–13-0.098%23 Jun
inferno13–4-0.055%22 Jun
train3–13-0.0521%22 Jun
overpass13–20.0110%22 Jun
ancient13–110.106%18 Jun
nuke6–90.026%17 Jun
cache9–130.0112%15 Jun
dust213–70.089%13 Jun
train13–10-0.0514%12 Jun
anubis12–12-0.0317%12 Jun
ancient13–9-0.0411%11 Jun
anubis9–13-0.057%11 Jun
nuke9–5-0.029%11 Jun
inferno12–12-0.0616%10 Jun
anubis9–13-0.0520%9 Jun
inferno12–12-0.0820%9 Jun
mirage10–130.069%8 Jun
office3–13-0.026%4 Jun
overpass9–30.128%3 Jun
dust23–130.0513%3 Jun
cache13–5-0.026%2 Jun
inferno13–9-0.057%1 Jun
nuke9–13-0.0914%1 Jun
train13–50.026%1 Jun
inferno10–130.0113%29 May
dust213–2-0.0611%27 May
anubis13–6-0.0219%27 May
inferno12–12-0.0612%26 May
mirage13–1-0.078%26 May
dust213–8-0.0311%25 May

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 →