Kloun — CS2 Stats

76561198059191111[U:1:98925383]

1,012Tracked matches48%Win rate2021Tracked since

CSDB Rating4.1 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim37

Positioning39

Utility52

0–100 skill scores via Leetify.

Recent form

HOT53–41–6Last 10053%Win rateWWWTWLWWWL

Last 10 vs previous 10: +40pp win rate · -0.02 avg rating

Player DNA

Aim3.7

Aggression4.4

Utility5.2

Positioning3.9

Opening Duels1.7

Clutch2.6

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

Plays most like NiKo 81% 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 46% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 711ms 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

Aim3.7

Positioning3.9

Utility5.2

Mechanics5.3

Opening Duels2.0

Win Impact4.4

Composite 4.1/10 (Developing), 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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time723ms−10ms

first ⅓ avg 734ms → last ⅓ avg 723ms

Headshot accuracy21.9%−2.1%

first ⅓ avg 24.0% → last ⅓ avg 21.9%

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

0.11Best rating — dust2 13–5

13–2Biggest win — dust2

5Longest win streak

W3Current streak

4–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 78% over 9infernoWeakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	14–12	54%	-0.01
mirage	B	20	9–11	45%	-0.01
inferno	C	19	7–12	37%	-0.03
anubis	S	9	7–2	78%	-0.03
ancient	A	9	5–4	56%	-0.01
nuke	C	7	3–4	43%	-0.05
overpass	S	7	5–2	71%	0.00
cache	—	3	3–0	100%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

29Matches

55%Win rate

0.90Avg K/D

69.7ADR

58%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	11	82%	0.92	16.3
Mirage	6	17%	1.00	13.0
Inferno	4	50%	1.06	12.3
Anubis	2	50%	0.74	10.0
Nuke	2	50%	0.46	10.0
Ancient	1	100%	1.31	17.0

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.

22.3%Headshot accuracy

25.9%Accuracy (enemy spotted)

28.3%Spray accuracy

73.8%Counter-strafing

10.3°Preaim

711msReaction time

27.6%T opening success

45.9%CT opening success

0.63Enemies flashed / flash

7.9%Flash assists

7.44HE damage / grenade

10.84Flashes / 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 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 710.9287ms — above the 700ms mark we flag
Aim Training →
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 27.5972% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–9	-0.01	22%	8 Aug →
anubis	13–8	-0.03	13%	8 Aug →
mirage	13–7	0.02	29%	6 Aug →
inferno	15–15	-0.02	25%	6 Aug →
nuke	13–6	-0.07	17%	6 Aug →
mirage	11–13	-0.05	19%	29 Jul →
cache	13–7	-0.00	9%	26 Jul →
dust2	13–9	-0.10	16%	21 Jul →
cache	13–7	-0.06	27%	21 Jul →
ancient	9–13	-0.01	24%	18 Jul →
mirage	7–13	0.01	32%	18 Jul →
ancient	16–14	-0.04	12%	18 Jul →
dust2	8–13	0.00	25%	16 Jul →
mirage	8–13	-0.02	16%	9 Jul →
dust2	13–4	-0.04	24%	9 Jul →
inferno	9–13	-0.02	23%	9 Jul →
inferno	12–12	-0.04	37%	8 Jul →
mirage	9–13	0.01	19%	2 Jul →
inferno	13–9	-0.03	18%	2 Jul →
overpass	15–15	0.02	24%	30 Jun →
mirage	13–3	0.04	32%	30 Jun →
dust2	8–13	0.02	14%	29 Jun →
inferno	6–13	-0.07	18%	29 Jun →
anubis	4–13	-0.01	13%	29 Jun →
inferno	8–13	-0.05	23%	27 Jun →
overpass	13–10	0.08	37%	27 Jun →
mirage	11–13	0.01	25%	27 Jun →
ancient	7–13	-0.07	16%	27 Jun →
mirage	7–13	-0.05	35%	27 Jun →
dust2	13–2	-0.07	31%	26 Jun →
mirage	13–9	-0.03	19%	20 Jun →
mirage	13–10	-0.06	11%	20 Jun →
anubis	13–7	0.02	20%	20 Jun →
dust2	13–4	-0.04	18%	17 Jun →
mirage	10–13	-0.02	19%	13 Jun →
ancient	13–2	-0.04	14%	13 Jun →
nuke	8–13	-0.06	26%	13 Jun →
inferno	9–13	-0.04	34%	13 Jun →
dust2	13–16	-0.05	16%	13 Jun →
inferno	13–16	-0.05	19%	13 Jun →
nuke	9–13	-0.02	19%	11 Jun →
mirage	13–11	-0.01	17%	11 Jun →
overpass	13–10	0.02	21%	11 Jun →
inferno	13–2	-0.05	21%	10 Jun →
anubis	13–8	-0.02	13%	10 Jun →
dust2	11–13	-0.08	9%	8 Jun →
anubis	13–8	-0.06	17%	8 Jun →
ancient	13–11	0.01	20%	6 Jun →
inferno	4–13	-0.06	15%	6 Jun →
anubis	16–13	-0.06	8%	6 Jun →
mirage	13–11	0.02	14%	6 Jun →
dust2	13–10	-0.03	20%	6 Jun →
dust2	15–15	0.03	30%	3 Jun →
inferno	13–6	0.01	17%	3 Jun →
mirage	15–15	0.02	18%	2 Jun →
dust2	16–12	-0.03	22%	2 Jun →
mirage	7–13	-0.04	27%	30 May →
dust2	13–5	0.11	31%	27 May →
mirage	6–13	-0.04	22%	26 May →
inferno	0–13	-0.07	25%	26 May →
mirage	13–4	0.02	24%	26 May →
ancient	10–13	0.00	17%	24 May →
dust2	5–13	-0.10	33%	24 May →
mirage	13–10	-0.03	24%	24 May →
inferno	9–13	-0.12	15%	24 May →
dust2	13–4	0.03	30%	9 May →
anubis	13–7	-0.01	29%	9 May →
ancient	13–9	0.01	21%	9 May →
nuke	13–5	-0.10	27%	9 May →
inferno	4–13	-0.05	10%	9 May →
overpass	13–7	0.02	25%	9 May →
inferno	13–10	0.02	21%	9 May →
dust2	13–10	-0.01	23%	9 May →
nuke	9–13	-0.05	20%	9 May →
anubis	9–13	-0.00	34%	7 May →
dust2	13–7	-0.01	16%	7 May →
inferno	13–6	0.02	27%	7 May →
dust2	10–13	-0.05	22%	6 May →
overpass	13–8	-0.03	21%	6 May →
dust2	6–13	-0.03	20%	6 May →
dust2	13–8	0.08	28%	5 May →
mirage	13–7	0.05	20%	3 May →
inferno	10–13	-0.04	31%	3 May →
dust2	8–13	-0.03	24%	3 May →
dust2	10–13	-0.03	29%	3 May →
dust2	13–3	0.09	28%	3 May →
dust2	15–15	-0.10	22%	3 May →
overpass	16–13	-0.00	16%	2 May →
ancient	9–13	-0.05	23%	2 May →
dust2	13–6	-0.02	23%	30 Apr →
nuke	11–13	-0.02	33%	30 Apr →
inferno	13–4	0.04	18%	30 Apr →
ancient	13–9	0.06	16%	30 Apr →
inferno	13–7	-0.00	10%	30 Apr →
overpass	2–13	-0.08	33%	30 Apr →
anubis	13–7	-0.05	18%	30 Apr →
nuke	13–9	-0.04	31%	30 Apr →
mirage	11–13	-0.03	40%	30 Apr →
dust2	6–13	0.04	31%	30 Apr →
dust2	13–8	0.02	30%	29 Apr →