◉◡◉ KHАNA_МÄӀN ◉◡◉ — CS2 Stats

JM76561197984011182[U:1:23745454]Steam profile ↗✓ No bans

2,495Tracked matches50%Win rate2020Tracked since

CSDB Rating5.6 SolidSupport

Premier CS Rating22,182Top 50% of 204,097 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)

CSDB Leaderboard#51868 of 251192 tracked

FaceitLevel 9 · 1,781 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,182 +1,346 25 May – 9 Oct · 32 days played

Faceit ELO: 1,781 +0 15 Sept – 21 Sept · 3 observations

23,435Peak Premier in tracked matches

1,781Highest Faceit ELO seen on CSDB

42Days played since 2026-05-25

Faceit ELO

At peak — 1,781
Next: Level 10 at 2,001 — 220 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-15
Level 8 first seen 2026-09-15

Premier CS Rating

1,253 below peak (23,435)
+2,183 over 30 days · improving
+1,659 over 90 days
Next: Red band at 25,000 — 2,818 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-15
Blue band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim54

Positioning62

Utility76

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateLLWLWLLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −1.2pp headshot accuracy · −80ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 516ms

Last 10

3–7 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 512ms

Last 20

9–11 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 15%
Avg reaction 552ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim5.4

Utility7.6

Positioning6.2

Opening Duels3.5

Clutch4.4

High utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 64% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Counter-strafing. Only 68% 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

Aim5.4

Positioning6.2

Utility7.6

Mechanics3.9

Opening Duels4.4

Win Impact5.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time551ms+26ms

first ⅓ avg 525ms → last ⅓ avg 551ms

Headshot accuracy15.3%−0.8%

first ⅓ avg 16.1% → last ⅓ avg 15.3%

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.

Personal bests

0.15Best match rating · 13–6 · nuke, 8 Sept →

40%Best headshot accuracy · 0–2 · dust2, 28 Sept →

391msFastest reaction time · 0–6 · dust2, 18 Sept →

18–0Biggest win · nuke, 12 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L2Current streak

6–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 65% over 17anubisWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	24	14–10	58%	0.01
inferno	S	17	11–6	65%	0.01
dust2	A	17	10–7	59%	-0.01
anubis	D	15	5–10	33%	-0.01
cache	C	12	5–7	42%	-0.01
ancient	C	9	4–5	44%	-0.02
mirage	C	5	2–3	40%	-0.05
overpass	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

742Matches

52%Win rate

1.07Avg K/D

76.2ADR

37%Headshot %

Clutches & streaks

42%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	61	51%	1.03	14.1
Mirage	52	52%	0.95	13.8
Ancient	48	48%	1.08	15.8
Nuke	46	61%	1.15	14.9
Inferno	45	60%	1.09	14.1
Dust2	22	36%	0.93	13.6
Overpass	6	50%	0.89	11.0
Train	5	80%	0.82	11.0

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.

14.4%Headshot accuracy

33.1%Accuracy (enemy spotted)

37.6%Spray accuracy

67.7%Counter-strafing

11.2°Preaim

540msReaction time

48.7%T opening success

46.7%CT opening success

0.70Enemies flashed / flash

12.1%Flash assists

8.04HE damage / grenade

19.95Flashes / 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.

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 14.4301% — below the 15% mark we flag
Aim Training →

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	8–13	0.01	17%	10 Oct →
nuke	9–13	-0.01	13%	9 Oct →
inferno	13–8	-0.00	1%	9 Oct →
cache	9–13	-0.06	12%	9 Oct →
dust2	13–3	0.01	16%	9 Oct →
anubis	13–16	-0.05	13%	9 Oct →
nuke	7–13	0.02	20%	9 Oct →
ancient	10–13	-0.04	19%	8 Oct →
inferno	13–9	0.03	10%	8 Oct →
ancient	5–13	-0.03	19%	8 Oct →
cache	4–13	-0.06	6%	7 Oct →
dust2	13–9	-0.00	17%	7 Oct →
inferno	1–13	-0.00	26%	6 Oct →
inferno	13–10	0.09	8%	3 Oct →
mirage	13–11	-0.04	16%	3 Oct →
nuke	13–10	0.02	20%	3 Oct →
inferno	13–6	0.08	8%	3 Oct →
cache	10–13	0.01	22%	3 Oct →
ancient	11–13	0.01	14%	3 Oct →
cache	13–11	0.01	15%	3 Oct →
nuke	13–9	0.02	26%	3 Oct →
anubis	10–13	-0.09	13%	2 Oct →
cache	13–6	0.07	10%	2 Oct →
mirage	6–13	-0.09	17%	2 Oct →
mirage	13–10	0.05	8%	2 Oct →
nuke	8–13	-0.02	16%	1 Oct →
nuke	13–7	0.07	21%	30 Sept →
cache	13–11	-0.02	6%	30 Sept →
dust2	13–5	-0.01	12%	28 Sept →
dust2	0–2	0.03	40%	28 Sept →
dust2	13–7	0.02	16%	28 Sept →
cache	9–13	0.01	13%	27 Sept →
anubis	13–10	0.01	13%	27 Sept →
inferno	9–1	0.04	33%	27 Sept →
dust2	13–10	-0.01	10%	27 Sept →
dust2	7–13	-0.01	19%	26 Sept →
nuke	13–4	0.07	13%	24 Sept →
ancient	13–9	-0.05	6%	24 Sept →
nuke	8–3	-0.06	22%	23 Sept →
cache	13–4	0.01	17%	23 Sept →
inferno	16–13	-0.02	21%	23 Sept →
anubis	5–13	-0.03	10%	20 Sept →
dust2	5–13	-0.02	17%	19 Sept →
anubis	13–10	0.04	7%	19 Sept →
dust2	0–6	-0.06	14%	18 Sept →
ancient	13–8	0.01	12%	18 Sept →
inferno	14–16	0.02	23%	18 Sept →
cache	6–13	-0.04	18%	18 Sept →
anubis	8–13	-0.04	11%	18 Sept →
dust2	10–13	-0.04	19%	16 Sept →
cache	0–6	-0.07	33%	15 Sept →
inferno	13–7	-0.05	7%	15 Sept →
nuke	13–6	0.01	11%	13 Sept →
inferno	11–13	-0.07	5%	13 Sept →
dust2	16–14	-0.03	14%	13 Sept →
inferno	13–8	0.04	9%	13 Sept →
nuke	18–0	-0.07	9%	12 Sept →
nuke	13–7	-0.02	9%	12 Sept →
mirage	0–3	-0.07	13%	11 Sept →
anubis	13–11	-0.01	7%	9 Sept →
dust2	7–13	-0.08	10%	9 Sept →
anubis	15–15	-0.03	9%	9 Sept →
inferno	13–10	0.04	13%	8 Sept →
nuke	13–6	0.15	16%	8 Sept →
ancient	1–6	-0.03	22%	7 Sept →
anubis	8–13	-0.04	10%	7 Sept →
dust2	13–8	0.03	13%	7 Sept →
ancient	13–8	-0.03	14%	7 Sept →
nuke	13–6	-0.01	11%	5 Sept →
cache	4–13	-0.02	14%	5 Sept →
nuke	13–1	0.03	17%	5 Sept →
dust2	16–13	-0.04	27%	4 Sept →
cache	13–6	0.01	21%	4 Sept →
anubis	3–7	0.01	27%	2 Sept →
inferno	13–8	-0.02	8%	1 Sept →
nuke	13–5	0.04	19%	1 Sept →
nuke	11–13	-0.04	13%	16 Aug →
mirage	2–13	-0.08	0%	14 Aug →
anubis	7–13	0.04	10%	14 Aug →
ancient	10–0	0.06	23%	14 Aug →
inferno	12–16	-0.01	11%	3 Jul →
dust2	13–3	0.00	21%	3 Jul →
nuke	13–4	0.06	17%	18 Jun →
dust2	16–12	-0.01	18%	9 Jun →
inferno	8–13	-0.01	18%	9 Jun →
nuke	9–13	-0.01	15%	6 Jun →
anubis	13–2	-0.01	12%	6 Jun →
dust2	1–12	0.00	23%	5 Jun →
inferno	5–13	-0.06	15%	5 Jun →
nuke	11–13	-0.05	9%	4 Jun →
anubis	13–7	0.07	12%	4 Jun →
nuke	0–6	-0.04	0%	4 Jun →
inferno	13–10	0.05	22%	2 Jun →
nuke	9–13	0.01	22%	2 Jun →
nuke	13–11	0.06	26%	28 May →
nuke	5–13	-0.04	22%	27 May →
ancient	14–16	-0.06	16%	26 May →
anubis	7–13	-0.04	15%	26 May →
overpass	5–13	-0.06	19%	25 May →
anubis	11–13	-0.01	15%	25 May →