KHyl - sebastian kytkin — CS2 Stats

76561198148412708[U:1:188146980]Steam profile ↗✓ No bans

2,579Tracked matches57%Win rate2020Tracked since

5,881Hours in CS32Hrs last 2 wks

CSDB Rating5.8 Solid

Premier CS Rating23,757Top 50% of 819 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

CSDB Leaderboard#3599 of 15791 tracked

FaceitLevel 9 · 1,929 ELOTop 20.7% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median	vs Level 10
Headshot rate	37.5%	52.8%	15.3% short
Shot accuracy	10.9%	13.7%	2.8% short
Kill/death ratio	0.90	1.08	0.18 short
Match win rate	44.8%	49.2%	4.4% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim56

Positioning61

Utility75

0–100 skill scores via Leetify.

Recent form

HOT55–38–7Last 10055%Win rateWLWLWLWWWW

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

Player DNA

Aim5.6

Aggression7.8

Utility7.5

Positioning6.1

Opening Duels3.4

Clutch4.2

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 b1t 88% playstyle similarity

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

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 57% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 67% 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

Aim5.6

Positioning6.1

Utility7.5

Mechanics3.8

Opening Duels3.4

Win Impact7.2

Composite 5.8/10 (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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time515ms−76ms

first ⅓ avg 591ms → last ⅓ avg 515ms

Headshot accuracy15.1%−0.3%

first ⅓ avg 15.4% → last ⅓ avg 15.1%

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

0.12Best rating — overpass 13–5

13–1Biggest win — ancient

8Longest win streak

11–7In matches decided by ≤2 rounds

21Overtime games

Map breakdown

nukeBest map · 85% over 20anubisWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	20	17–3	85%	0.02
dust2	B	19	9–10	47%	0.01
inferno	S	16	11–5	69%	-0.00
anubis	D	15	5–10	33%	-0.01
ancient	C	14	6–8	43%	0.01
cache	B	8	4–4	50%	-0.00
mirage	D	6	2–4	33%	-0.03
office	—	1	0–1	0%	-0.07
overpass	—	1	1–0	100%	0.12

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.

Lifetime stats

165,445Lifetime kills

0.90K/D

8,239Matches

44.8%Match win rate

37.5%Headshot %

10.9%Shot accuracy

17,502MVPs

3,569Hours (in match)

11,139Bombs planted

1,702Bombs defused

Most-used weapons

AK-4725,414

Desert Eagle22,156

M4A4 / M4A1-S18,238

SG 55315,887

AWP10,776

AUG7,857

P907,493

Glock-187,016

P2000 / USP-S6,566

XM10143,954

Lifetime map wins

18,325dust2

15,513inferno

11,468nuke

9,422train

5,210cbble

1,788vertigo

82office

80italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,462Matches

51%Win rate

0.90Avg K/D

75.7ADR

37%Headshot %

Clutches & streaks

41%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	104	55%	0.94	13.5
Dust2	101	50%	0.94	14.1
Nuke	95	66%	1.02	14.2
Ancient	86	45%	0.91	13.5
Anubis	63	63%	0.93	13.3
Mirage	48	50%	0.99	13.5
Train	37	46%	0.90	12.9
Overpass	12	33%	0.70	10.8

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.

15.0%Headshot accuracy

30.6%Accuracy (enemy spotted)

34.9%Spray accuracy

67.3%Counter-strafing

9.4°Preaim

525msReaction time

29.7%T opening success

57.3%CT opening success

0.67Enemies flashed / flash

9.5%Flash assists

10.19HE damage / grenade

16.34Flashes / 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 29.701% — 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.

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
inferno	13–8	0.01	19%	28 Aug →
anubis	8–13	0.01	22%	28 Aug →
nuke	13–9	-0.01	16%	28 Aug →
cache	1–13	-0.03	25%	27 Aug →
anubis	13–10	0.01	7%	27 Aug →
inferno	13–16	-0.05	7%	27 Aug →
nuke	13–10	0.05	9%	27 Aug →
inferno	16–13	-0.01	11%	25 Aug →
nuke	25–21	0.00	14%	25 Aug →
nuke	13–10	-0.03	13%	24 Aug →
anubis	1–13	-0.06	10%	24 Aug →
dust2	13–5	0.04	24%	24 Aug →
dust2	14–16	-0.05	12%	22 Aug →
anubis	8–13	-0.03	14%	21 Aug →
inferno	5–13	-0.06	10%	21 Aug →
nuke	8–8	0.03	16%	21 Aug →
inferno	6–9	-0.05	10%	21 Aug →
dust2	13–11	-0.03	17%	19 Aug →
nuke	16–12	0.02	13%	19 Aug →
ancient	11–13	-0.01	26%	19 Aug →
mirage	7–13	-0.07	10%	19 Aug →
anubis	13–8	0.01	10%	19 Aug →
anubis	9–13	0.03	15%	17 Aug →
ancient	16–14	0.02	13%	15 Aug →
dust2	8–13	0.06	21%	15 Aug →
cache	13–4	0.01	10%	15 Aug →
nuke	13–9	-0.03	12%	15 Aug →
dust2	13–10	0.01	26%	15 Aug →
inferno	3–9	-0.12	17%	15 Aug →
mirage	3–13	-0.05	9%	13 Aug →
anubis	11–13	0.03	18%	13 Aug →
cache	13–11	0.02	23%	12 Aug →
dust2	13–5	0.09	24%	12 Aug →
anubis	13–8	-0.03	12%	12 Aug →
nuke	13–2	0.06	17%	12 Aug →
nuke	16–13	-0.01	14%	11 Aug →
cache	13–6	-0.01	13%	11 Aug →
ancient	13–8	0.06	12%	11 Aug →
anubis	13–7	0.11	18%	11 Aug →
office	6–13	-0.07	9%	10 Aug →
ancient	6–13	-0.07	10%	10 Aug →
dust2	11–13	-0.04	18%	10 Aug →
ancient	8–13	0.03	13%	7 Aug →
dust2	13–7	0.05	15%	6 Aug →
inferno	19–17	-0.04	16%	6 Aug →
nuke	13–5	0.02	6%	6 Aug →
nuke	13–4	0.03	14%	6 Aug →
dust2	6–13	-0.04	18%	4 Aug →
ancient	15–15	0.01	13%	3 Aug →
nuke	7–2	0.05	0%	3 Aug →
inferno	13–6	0.10	20%	3 Aug →
ancient	5–13	-0.04	10%	2 Aug →
mirage	6–13	0.00	19%	1 Aug →
nuke	13–3	0.06	15%	1 Aug →
ancient	13–5	0.01	12%	1 Aug →
cache	10–13	-0.04	9%	1 Aug →
inferno	13–9	-0.03	13%	1 Aug →
dust2	16–12	0.04	11%	31 Jul →
mirage	9–13	-0.02	18%	31 Jul →
dust2	7–13	-0.01	8%	31 Jul →
anubis	4–13	-0.12	13%	31 Jul →
inferno	13–10	0.03	14%	31 Jul →
dust2	13–8	0.06	21%	31 Jul →
ancient	16–12	-0.00	16%	31 Jul →
nuke	10–13	0.01	24%	31 Jul →
anubis	14–16	-0.03	10%	30 Jul →
nuke	13–5	0.04	13%	30 Jul →
inferno	11–13	-0.03	21%	30 Jul →
nuke	8–13	-0.01	18%	28 Jul →
mirage	13–8	-0.01	16%	28 Jul →
ancient	11–13	-0.03	18%	28 Jul →
anubis	16–14	-0.02	4%	28 Jul →
dust2	15–15	0.01	13%	28 Jul →
inferno	13–10	0.04	5%	28 Jul →
dust2	16–13	0.03	14%	27 Jul →
mirage	13–11	-0.00	24%	27 Jul →
ancient	13–11	0.06	13%	27 Jul →
cache	9–13	0.01	24%	27 Jul →
inferno	13–11	-0.02	14%	27 Jul →
dust2	15–15	0.00	21%	27 Jul →
nuke	13–6	0.02	15%	27 Jul →
cache	15–15	0.01	18%	24 Jul →
ancient	13–1	0.05	8%	24 Jul →
dust2	7–13	0.01	19%	23 Jul →
anubis	15–15	-0.06	15%	23 Jul →
nuke	13–11	-0.07	11%	23 Jul →
anubis	13–16	0.01	19%	19 Jul →
inferno	13–10	0.04	15%	19 Jul →
dust2	13–9	0.05	15%	19 Jul →
ancient	7–13	-0.06	12%	18 Jul →
nuke	13–7	0.03	11%	18 Jul →
inferno	13–11	0.08	14%	18 Jul →
anubis	5–13	0.01	18%	16 Jul →
inferno	13–11	0.02	15%	16 Jul →
cache	13–7	0.00	16%	10 Jul →
nuke	13–10	0.06	22%	10 Jul →
dust2	6–13	-0.03	11%	9 Jul →
dust2	15–15	0.02	14%	9 Jul →
ancient	12–16	0.06	13%	27 Jun →
overpass	13–5	0.12	21%	25 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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

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