Khana

Khana — CS2 Stats

BE76561197965044950[U:1:4779222]Steam profile ↗✓ No bans

154Tracked matches63%Win rate2021Tracked since
CSDB Rating4.2 Developing
FaceitLevel 6 · 1,019 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKhanaFACEITLevel 6 · 1,019 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning51
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY51302Last 8361%Win rateWWLWLLWLWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim3.9
Aggression8.1
Utility4.0
Positioning5.1
Opening Duels4.1
Clutch5.0

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

ropz

Plays most like ropz 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim3.9
Positioning5.1
Utility4.0
Mechanics3.4
Opening Duels4.1
Win Impact9.4

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time618ms−5ms
first ⅓ avg 623ms → last ⅓ avg 618ms
Headshot accuracy15.2%+3.5%
first ⅓ avg 11.6% → last ⅓ avg 15.2%

Rolling 5-match average across the last 83 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.12Best rating — inferno 16–8
161Biggest win — inferno
5Longest win streak
W2Current streak
107In matches decided by ≤2 rounds
31Overtime games

Map breakdown

dust2Best map · 86% over 14mirageWeakest map · 56% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA27171063%-0.00
nukeA148657%-0.02
dust2S1412286%-0.02
anubisS96367%0.00
mirageA95456%-0.00
ancient41325%-0.02
overpass42250%0.02
train2020%-0.05

Across the last 83 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (56% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

319Matches
55%Win rate
1.00Avg K/D
80.9ADR
38%Headshot %

Clutches & streaks

45%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2871%1.0914.5
Anubis2060%1.0716.5
Dust21947%1.0216.2
Mirage1553%1.1017.3
Nuke1457%1.1516.9
Ancient1258%1.1217.7
Overpass333%0.6712.3

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.

14.5%Headshot accuracy
31.5%Accuracy (enemy spotted)
31.8%Spray accuracy
65.2%Counter-strafing
10.6°Preaim
622msReaction time
42.1%T opening success
50.5%CT opening success
0.59Enemies flashed / flash
1.2%Flash assists
6.83HE damage / grenade
3.14Flashes / 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 Crosshair

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

    Headshot accuracy 14.4721% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 3.1433 — below the 4 mark we flag

    Grenade Lineups

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0119%1 Mar
dust216–13-0.0211%1 Mar
anubis11–130.0010%1 Mar
inferno10–0-0.0016%27 Feb
inferno6–13-0.1121%26 Feb
mirage9–13-0.0419%25 Feb
nuke13–110.017%21 Feb
nuke14–160.0113%21 Feb
dust213–6-0.0518%18 Feb
ancient9–13-0.0521%18 Feb
inferno9–130.026%9 Feb
nuke16–12-0.0221%9 Feb
inferno13–9-0.0423%8 Feb
inferno13–20.0524%8 Feb
anubis9–13-0.039%6 Feb
dust213–11-0.0610%6 Feb
anubis13–30.019%5 Feb
inferno13–11-0.0115%31 Jan
dust213–50.0331%31 Jan
inferno13–10-0.0512%29 Jan
nuke10–13-0.0713%29 Jan
ancient7–20.0219%29 Jan
ancient9–13-0.0414%29 Jan
mirage13–60.0414%29 Jan
anubis13–70.0311%29 Jan
anubis13–40.0013%29 Jan
anubis11–13-0.019%27 Jan
inferno13–110.008%27 Jan
anubis13–20.009%27 Jan
ancient5–13-0.0116%27 Jan
anubis13–8-0.0114%27 Jan
overpass13–11-0.0412%26 Jan
anubis11–00.0153%26 Jan
inferno5–13-0.028%26 Jan
inferno13–1-0.013%26 Jan
inferno11–130.0915%25 Jan
inferno12–120.0622%25 Jan
dust213–8-0.079%24 Jan
mirage13–11-0.0021%24 Jan
dust213–4-0.0315%24 Jan
mirage9–13-0.0521%24 Jan
mirage13–80.0326%24 Jan
dust213–11-0.0517%24 Jan
mirage11–13-0.008%22 Jan
mirage5–130.0416%22 Jan
nuke13–50.038%22 Jan
nuke13–3-0.0211%22 Jan
dust213–50.0713%22 Jan
inferno13–80.0214%22 Jan
inferno12–120.034%22 Jan
inferno13–4-0.028%21 Jan
nuke7–9-0.1220%21 Jan
nuke4–9-0.0421%21 Jan
dust216–14-0.0111%25 Feb
inferno16–1-0.0521%22 Feb
dust212–160.009%19 Feb
mirage22–18-0.0010%19 Feb
inferno16–13-0.029%17 Feb
inferno16–120.0012%16 Feb
dust216–140.009%13 Feb
dust216–4-0.0112%10 Feb
train9–160.0012%29 Jan
inferno16–12-0.009%24 Jan
inferno13–16-0.0513%20 Jan
overpass11–16-0.0715%17 Jan
nuke16–8-0.0214%17 Jan
inferno13–16-0.0113%17 Jan
inferno4–16-0.0712%16 Jan
inferno16–60.007%2 Jan
inferno12–16-0.0612%30 Dec
overpass16–80.1115%30 Dec
inferno16–80.1216%14 Dec
nuke16–120.0614%5 Dec
inferno16–8-0.0112%14 Nov
dust212–16-0.0413%12 Nov
dust216–14-0.0213%7 Nov
overpass17–190.0612%3 Nov
nuke7–16-0.0512%1 Nov
nuke16–11-0.0313%30 Oct
mirage16–12-0.0114%18 Oct
train2–9-0.100%12 Oct
inferno16–60.077%9 Oct
nuke6–9-0.0515%7 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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