kukovsky — CS2 Stats

76561197977321025[U:1:17055297]Steam profile ↗✓ No bans

2,614Tracked matches50%Win rate2020Tracked since

CSDB Rating6.5 SolidAggressive Rifler

FaceitLevel 10 · 2,571 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning61

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWLLWWLWLWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression9.4

Utility5.6

Positioning6.1

Opening Duels4.4

Clutch3.2

Strong CT-side opener

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 sh1ro 94% playstyle similarity

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

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

T-side openings. Opening success drops from 58% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 551ms 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

Aim8.1

Positioning6.1

Utility5.6

Mechanics6.5

Opening Duels4.4

Win Impact5.0

Composite 6.5/10 (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 rating-0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg -0.00

Reaction time556ms−35ms

first ⅓ avg 591ms → last ⅓ avg 556ms

Headshot accuracy18.7%−8.2%

first ⅓ avg 27.0% → last ⅓ avg 18.7%

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

0.22Best rating — mirage 13–4

13–0Biggest win — nuke

5Longest win streak

8–15In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 63% over 32anubisWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	32	20–12	63%	0.01
mirage	B	29	14–15	48%	0.02
nuke	A	20	12–8	60%	0.04
anubis	C	9	4–5	44%	0.00
cache	—	4	2–2	50%	-0.01
ancient	—	3	1–2	33%	-0.03
inferno	—	2	1–1	50%	0.05
train	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,869Matches

50%Win rate

1.09Avg K/D

79.7ADR

47%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	521	52%	1.04	15.7
Mirage	490	49%	1.06	15.9
Nuke	229	55%	1.10	16.5
Ancient	222	50%	1.04	15.9
Anubis	128	54%	1.02	15.0
Overpass	71	56%	1.08	17.0
Cache	56	52%	1.10	16.6
Inferno	41	44%	0.84	14.3

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.

18.9%Headshot accuracy

36.3%Accuracy (enemy spotted)

43.3%Spray accuracy

79.5%Counter-strafing

9.1°Preaim

551msReaction time

37.5%T opening success

57.9%CT opening success

0.69Enemies flashed / flash

8.9%Flash assists

5.23HE damage / grenade

11.24Flashes / 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.

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 37.5403% — below the 40% mark we flag

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.

44% win rate across 9 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
dust2	13–9	-0.03	23%	23 Aug →
mirage	10–13	-0.04	15%	23 Aug →
mirage	11–13	-0.03	8%	23 Aug →
mirage	13–8	0.02	18%	23 Aug →
nuke	13–5	0.05	18%	15 Aug →
cache	11–13	0.00	13%	13 Aug →
mirage	13–10	-0.05	12%	2 Aug →
mirage	7–13	-0.01	17%	2 Aug →
dust2	13–7	-0.04	16%	2 Aug →
nuke	8–13	-0.03	22%	26 Jul →
dust2	9–13	-0.06	16%	23 Jul →
anubis	7–13	-0.00	32%	21 Jul →
mirage	13–9	0.08	24%	17 Jul →
mirage	13–8	0.07	12%	13 Jul →
mirage	16–12	-0.01	18%	13 Jul →
nuke	13–8	0.10	28%	13 Jul →
dust2	5–13	0.06	29%	13 Jul →
dust2	11–13	-0.01	18%	13 Jul →
cache	5–13	-0.07	19%	13 Jul →
dust2	13–9	0.02	33%	12 Jul →
dust2	13–9	0.15	20%	12 Jul →
nuke	14–16	-0.05	22%	11 Jul →
nuke	9–13	0.00	6%	9 Jul →
mirage	13–8	0.04	23%	6 Jul →
nuke	13–8	0.03	18%	4 Jul →
mirage	11–13	-0.01	17%	2 Jul →
mirage	5–13	-0.07	25%	2 Jul →
anubis	13–11	0.01	14%	1 Jul →
dust2	7–13	-0.05	25%	24 Jun →
dust2	13–11	-0.00	15%	22 Jun →
nuke	13–9	0.02	15%	22 Jun →
dust2	7–13	-0.03	2%	15 Jun →
ancient	13–8	-0.07	25%	14 Jun →
dust2	7–13	-0.04	13%	14 Jun →
dust2	13–8	-0.02	13%	14 Jun →
nuke	16–13	-0.00	18%	10 Jun →
anubis	7–13	0.00	16%	10 Jun →
nuke	14–16	0.01	17%	27 May →
cache	13–9	0.00	22%	26 May →
nuke	13–7	0.09	25%	25 May →
anubis	8–13	0.02	13%	17 May →
mirage	16–13	0.04	21%	16 May →
dust2	13–7	0.01	28%	16 May →
nuke	8–13	-0.03	26%	16 May →
dust2	13–7	0.02	30%	13 May →
dust2	11–13	0.03	16%	10 May →
anubis	13–10	-0.03	19%	9 May →
dust2	13–9	0.03	26%	2 May →
nuke	13–2	0.19	22%	1 May →
ancient	6–13	0.01	4%	1 May →
dust2	8–13	0.03	22%	1 May →
mirage	8–13	0.03	30%	1 May →
ancient	4–13	-0.02	18%	1 May →
anubis	14–16	0.01	12%	28 Apr →
cache	13–11	0.02	27%	26 Apr →
mirage	11–13	0.07	27%	19 Apr →
mirage	8–13	0.01	24%	19 Apr →
dust2	13–8	0.02	35%	19 Apr →
inferno	11–13	0.02	16%	19 Apr →
nuke	13–11	0.01	21%	15 Apr →
inferno	13–4	0.07	24%	14 Apr →
mirage	11–13	0.02	25%	12 Apr →
dust2	16–14	0.01	24%	12 Apr →
mirage	11–13	-0.02	18%	11 Apr →
anubis	3–13	-0.05	30%	11 Apr →
mirage	13–10	0.02	25%	11 Apr →
nuke	13–3	0.09	42%	11 Apr →
mirage	13–3	0.05	30%	11 Apr →
nuke	13–9	0.04	40%	11 Apr →
dust2	16–14	0.06	21%	11 Apr →
dust2	8–13	0.02	26%	11 Apr →
mirage	9–13	-0.02	17%	11 Apr →
mirage	13–4	0.22	25%	7 Apr →
anubis	13–9	0.04	28%	1 Apr →
dust2	13–11	0.01	34%	1 Apr →
dust2	13–5	0.01	33%	1 Apr →
mirage	13–6	0.04	29%	28 Mar →
dust2	8–13	-0.09	17%	27 Mar →
nuke	4–13	-0.03	26%	27 Mar →
nuke	13–0	0.06	30%	27 Mar →
dust2	13–8	0.04	24%	27 Mar →
dust2	19–17	-0.05	12%	18 Feb →
mirage	11–13	-0.01	26%	1 Feb →
dust2	13–4	0.04	31%	19 Jan →
mirage	19–15	0.06	16%	18 Jan →
anubis	13–9	0.02	32%	18 Jan →
nuke	11–13	0.05	29%	18 Jan →
nuke	13–3	0.08	40%	16 Jan →
dust2	13–9	0.03	24%	16 Jan →
mirage	13–6	-0.04	23%	21 Dec →
dust2	9–13	0.03	49%	17 Dec →
mirage	5–13	0.09	25%	17 Dec →
train	16–13	0.10	33%	17 Dec →
dust2	16–13	0.03	21%	17 Dec →
nuke	4–13	0.09	25%	17 Dec →
mirage	4–13	-0.04	15%	17 Dec →
mirage	13–5	0.05	33%	17 Dec →
dust2	11–13	0.08	32%	16 Dec →
dust2	13–4	0.06	16%	15 Dec →
mirage	8–13	-0.04	27%	14 Dec →