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_KAI_

_KAI_ — CS2 Stats

ZA76561198138084285[U:1:177818557]Steam profile ↗

130Tracked matches53%Win rate2020Tracked since
983Hours in CS
CSDB Rating3.8 Learning
Ladder ranks via Leetify

Performance scores

Aim23
Positioning33
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLLWWWLLLWL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Aim2.3
Aggression2.0
Utility5.3
Positioning3.3
Opening Duels0.0

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 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 731ms 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

Aim2.3
Positioning3.3
Utility5.3
Mechanics6.5
Opening Duels0.2
Win Impact6.1

Composite 3.8/10 (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-0.04+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time726ms+2ms
first ⅓ avg 724ms → last ⅓ avg 726ms
Headshot accuracy17.0%+0.6%
first ⅓ avg 16.4% → last ⅓ avg 17.0%

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

0.07Best rating — dust2 16–12
13–0Biggest win — inferno
7Longest win streak
L2Current streak
2–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%-0.05
mirageD186–1233%-0.06
infernoC146–843%-0.04
trainB126–650%-0.06
ancientA74–357%-0.05
nukeA74–357%-0.07
overpassS54–180%-0.04
anubis—42–250%-0.03
vertigo—42–250%-0.04
grail—21–150%-0.06
office—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,384Lifetime kills
0.86K/D
2,926Matches
28.5%Match win rate
39.6%Headshot %
16.6%Shot accuracy · Top 25% of tracked players
2,529MVPs
983Hours (in match)
2,578Bombs planted
297Bombs defused

Most-used weapons

AK-4714,891
M4A4 / M4A1-S11,516
AWP3,512
Desert Eagle2,925
UMP-451,881
P2000 / USP-S1,288
AUG1,133
SG 5531,079
P250839
Five-SeveN829

Lifetime map wins

8,012dust2
1,486inferno
669train
415nuke
343cbble
216vertigo
94office
36lake

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.

17.4%Headshot accuracy
22.0%Accuracy (enemy spotted)
24.7%Spray accuracy
79.4%Counter-strafing
11.0°Preaim
731msReaction time
21.5%T opening success
31.6%CT opening success
0.55Enemies flashed / flash
7.9%Flash assists
11.69HE damage / grenade
7.64Flashes / 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 730.9287ms — 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 21.4822% — below the 40% mark we flag

Spend your practice time on Mirage

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 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.090%13 Dec →
inferno7–13-0.0313%13 Dec →
ancient13–50.0116%13 Dec →
train13–20.0225%13 Dec →
anubis13–3-0.017%13 Dec →
nuke4–13-0.106%12 Dec →
dust23–13-0.0620%12 Dec →
nuke6–13-0.1329%12 Dec →
inferno13–30.0115%12 Dec →
dust24–13-0.050%12 Dec →
mirage6–13-0.0614%6 Dec →
inferno13–5-0.0720%6 Dec →
train6–13-0.0825%5 Dec →
inferno13–4-0.0130%5 Dec →
mirage6–13-0.0615%5 Dec →
ancient13–10-0.0021%5 Dec →
dust213–7-0.0822%23 Nov →
overpass13–2-0.050%23 Nov →
overpass13–5-0.0435%23 Nov →
nuke13–8-0.0015%22 Nov →
inferno7–13-0.100%22 Nov →
mirage13–5-0.0024%22 Nov →
inferno13–00.0335%22 Nov →
anubis6–13-0.0728%22 Nov →
overpass13–20.0412%22 Nov →
inferno11–13-0.0424%22 Nov →
dust213–7-0.0321%21 Nov →
dust23–13-0.139%21 Nov →
inferno6–13-0.0315%21 Nov →
overpass13–11-0.1012%21 Nov →
mirage13–10.0424%21 Nov →
overpass7–13-0.0516%21 Nov →
train13–7-0.0014%21 Nov →
dust27–13-0.0813%21 Nov →
inferno12–12-0.0819%26 Oct →
anubis13–10.0013%19 Oct →
mirage4–13-0.080%19 Oct →
mirage11–13-0.0416%10 Oct →
mirage1–5-0.1020%8 Oct →
mirage2–13-0.1412%8 Oct →
mirage6–13-0.1011%8 Oct →
dust211–13-0.037%5 Oct →
mirage3–13-0.080%5 Oct →
office8–13-0.0727%3 Oct →
dust24–13-0.1226%3 Oct →
mirage3–13-0.0825%6 Jun →
vertigo13–6-0.0413%6 Jun →
dust29–13-0.0923%6 Jun →
train6–13-0.093%6 Jun →
ancient13–7-0.0829%5 Jun →
dust210–13-0.0717%5 Jun →
dust213–3-0.0625%4 Jun →
mirage13–2-0.0515%29 May →
train11–13-0.0423%29 May →
mirage5–13-0.0521%28 May →
anubis8–13-0.0317%28 May →
dust213–20.0120%28 May →
inferno13–1-0.0419%28 May →
train8–13-0.130%24 May →
dust213–4-0.0422%24 May →
inferno0–13-0.1014%24 May →
dust213–7-0.0441%23 May →
train13–7-0.0420%23 May →
dust212–12-0.0725%23 May →
train2–13-0.1017%23 May →
nuke10–13-0.1113%23 May →
dust213–8-0.0221%23 May →
train13–10-0.0724%23 May →
mirage13–4-0.0513%22 May →
train13–9-0.0611%22 May →
nuke13–50.0122%22 May →
mirage13–6-0.0622%21 May →
dust213–4-0.0813%21 May →
train1–9-0.0227%19 May →
train13–10-0.1029%19 May →
dust213–7-0.0918%18 May →
ancient1–4-0.0920%18 May →
nuke13–8-0.1015%18 May →
dust213–80.019%14 May →
ancient8–13-0.0917%14 May →
vertigo13–40.0218%14 May →
grail13–2-0.049%8 May →
grail5–13-0.0822%8 May →
dust23–6-0.1116%7 May →
ancient13–5-0.0511%7 May →
dust213–3-0.0310%7 May →
vertigo5–13-0.0914%7 May →
ancient5–13-0.0513%7 May →
mirage5–13-0.0631%11 Jan →
dust213–1-0.0113%11 Jan →
nuke13–9-0.0717%10 Jan →
dust28–130.0015%10 Jan →
mirage13–110.0120%9 Jan →
dust216–120.0713%8 Jan →
inferno13–80.0210%8 Jan →
dust28–13-0.0512%7 Jan →
mirage1–13-0.059%6 Jan →
vertigo7–13-0.0417%6 Jan →
inferno11–130.0316%6 Jan →
inferno12–16-0.0919%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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