🌟Kimtaky..w0w — CS2 Stats

KR76561198012486403[U:1:52220675]Steam profile ↗✓ No bans

1,171Tracked matches64%Win rate2022Tracked since

2,773Hours in CS

CSDB Rating7.3 StrongSupport

Premier CS Rating24,724Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)

CSDB Leaderboard#26423 of 261569 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,171 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,724 -1,482 19 May – 12 Nov · 36 days played

Faceit ELO: 1,663 +0 7 Sept – 26 Sept · 3 observations

26,928Peak Premier in tracked matches

1,663Highest Faceit ELO seen on CSDB

36Days played since 2026-05-19

Premier CS Rating

2,204 below peak (26,928)
+130 over 30 days · steady
+927 over 90 days
Next: Red band at 25,000 — 276 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-07
Pink band first seen 2026-09-07

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 median	Level 9 median	vs Level 9
Headshot rate	47.2%	46.8%	48.2%	1.0% short
Shot accuracy	17.3%	13.0%	13.2%	above
Kill/death ratio	1.24	1.06	1.07	above
Match win rate	74.3%	46.3%	46.9%	above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim83

Positioning61

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY61–35–4Last 10061%Win rateTTLWWWWWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · +17ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–1–2 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 17%
Avg reaction 603ms

Last 10

5–3–2 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 575ms

Last 20

11–7–2 · 55% win rate
Avg rating 0.03
Avg headshot accuracy 18%
Avg reaction 567ms

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 (+2.1 against its own average).

Aim8.3

Utility7.1

Positioning6.1

Opening Duels2.9

Clutch4.0

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.

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 Twistzz 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim8.3

Positioning6.1

Utility7.1

Mechanics7.3

Opening Duels3.5

Win Impact9.8

Composite 7.3/10 (Strong), 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 rating0.04+0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time553ms+6ms

first ⅓ avg 548ms → last ⅓ avg 553ms

Headshot accuracy18.0%+0.1%

first ⅓ avg 17.9% → last ⅓ avg 18.0%

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

0.17Best match rating · 13–4 · dust2, 17 Aug →

100%Best headshot accuracy · 0–3 · dust2, 11 Jul →

297msFastest reaction time · 0–2 · anubis, 11 Jul →

13–0Biggest win · anubis, 11 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak

9–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 86% over 14infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	21	10–11	48%	0.01
mirage	A	18	11–7	61%	0.01
inferno	D	14	4–10	29%	0.02
nuke	S	14	12–2	86%	0.04
ancient	S	13	11–2	85%	0.07
anubis	S	10	7–3	70%	0.02
cache	S	7	5–2	71%	0.01
overpass	—	2	1–1	50%	0.05
vertigo	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,569Lifetime kills

1.24K/D · Top 25% of Level 8 players

11,080Matches

74.3%Match win rate · Top 1% of Level 8 players

47.2%Headshot % · Top 50% of Level 8 players

17.3%Shot accuracy · Top 25% of Level 8 players

17,728MVPs

2,773Hours (in match)

5,717Bombs planted

1,247Bombs defused

Most-used weapons

AK-4751,468

M4A4 / M4A1-S34,028

P2000 / USP-S12,563

AWP11,748

Desert Eagle7,510

Glock-184,929

P2503,262

Galil AR2,922

FAMAS2,890

UMP-452,101

Lifetime map wins

11,237inferno

9,975dust2

4,421nuke

2,412vertigo

2,122train

354cbble

247office

127italy

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

Faceit stats

Combat

194Matches

56%Win rate

1.22Avg K/D

83.0ADR

40%Headshot %

Clutches & streaks

40%1v1 clutch win

35%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	47%	0.99	15.2
Ancient	14	50%	1.05	16.0
Dust2	9	56%	1.17	19.3
Anubis	6	33%	0.73	12.7
Inferno	5	60%	1.22	16.6
Nuke	5	80%	1.60	20.0
Vertigo	5	80%	1.24	16.2
Overpass	4	100%	1.54	20.5

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.

17.4%Headshot accuracy

37.9%Accuracy (enemy spotted)

44.9%Spray accuracy

82.8%Counter-strafing

9.6°Preaim

555msReaction time

28.1%T opening success

57.7%CT opening success

0.63Enemies flashed / flash

11.5%Flash assists

10.12HE damage / grenade

13.86Flashes / 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 28.1399% — 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.

29% win rate across 14 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
mirage	15–15	0.03	15%	27 Oct →
cache	15–15	-0.03	19%	27 Oct →
inferno	11–13	0.02	14%	27 Oct →
inferno	13–6	0.00	22%	23 Oct →
inferno	13–11	-0.03	15%	23 Oct →
dust2	13–5	0.13	8%	9 Oct →
cache	13–5	0.02	16%	9 Oct →
nuke	13–3	0.06	17%	9 Oct →
nuke	9–13	0.05	19%	9 Oct →
anubis	8–13	-0.02	28%	27 Sept →
mirage	9–13	0.03	23%	25 Sept →
mirage	13–5	0.00	14%	25 Sept →
dust2	3–13	0.07	33%	25 Sept →
nuke	13–3	0.15	31%	19 Sept →
inferno	6–13	-0.01	12%	19 Sept →
nuke	13–5	0.06	14%	11 Sept →
mirage	13–10	-0.01	14%	11 Sept →
dust2	13–4	0.02	18%	11 Sept →
inferno	9–13	0.02	12%	5 Sept →
mirage	13–7	-0.03	12%	5 Sept →
nuke	13–6	0.01	17%	5 Sept →
ancient	10–13	-0.03	16%	5 Sept →
dust2	14–16	0.05	14%	4 Sept →
nuke	13–11	0.07	17%	31 Aug →
anubis	13–8	0.01	12%	31 Aug →
inferno	11–13	0.04	16%	28 Aug →
ancient	13–1	0.08	43%	28 Aug →
ancient	13–7	0.14	16%	28 Aug →
dust2	13–6	0.02	11%	28 Aug →
dust2	13–9	-0.03	18%	22 Aug →
nuke	13–10	0.01	15%	22 Aug →
ancient	13–2	0.14	22%	22 Aug →
dust2	13–4	0.17	19%	17 Aug →
ancient	13–7	0.03	7%	17 Aug →
anubis	13–4	-0.01	8%	16 Aug →
inferno	11–13	-0.01	23%	16 Aug →
nuke	4–13	-0.04	13%	16 Aug →
dust2	11–13	-0.03	14%	16 Aug →
mirage	4–13	0.00	11%	16 Aug →
inferno	11–13	0.02	20%	15 Aug →
mirage	13–2	0.07	11%	15 Aug →
dust2	10–13	0.00	29%	15 Aug →
ancient	13–11	0.01	16%	15 Aug →
anubis	13–6	0.03	11%	15 Aug →
anubis	13–6	0.11	18%	13 Aug →
cache	13–11	-0.03	15%	12 Aug →
inferno	13–5	0.03	20%	12 Aug →
dust2	13–3	0.02	19%	1 Aug →
anubis	16–14	0.01	19%	30 Jul →
nuke	13–8	-0.00	16%	30 Jul →
cache	2–13	-0.06	15%	30 Jul →
ancient	13–10	0.06	8%	30 Jul →
mirage	13–3	-0.05	18%	30 Jul →
inferno	11–13	-0.01	19%	30 Jul →
mirage	13–6	0.01	23%	25 Jul →
dust2	10–13	-0.02	14%	17 Jul →
inferno	9–13	0.05	26%	17 Jul →
mirage	9–13	-0.06	20%	17 Jul →
ancient	13–7	0.07	27%	17 Jul →
cache	13–6	0.06	19%	17 Jul →
nuke	13–1	0.04	24%	15 Jul →
dust2	13–3	-0.01	14%	15 Jul →
mirage	7–13	-0.04	9%	15 Jul →
dust2	13–11	0.04	17%	11 Jul →
cache	13–6	0.01	22%	11 Jul →
dust2	0–3	-0.07	100%	11 Jul →
anubis	0–2	-0.06	0%	11 Jul →
ancient	4–13	0.02	11%	11 Jul →
nuke	13–5	0.05	21%	11 Jul →
anubis	13–0	0.08	21%	11 Jul →
mirage	13–2	0.05	20%	11 Jul →
mirage	13–4	-0.04	10%	10 Jul →
ancient	13–8	0.08	19%	4 Jul →
dust2	13–8	-0.02	18%	25 Jun →
mirage	3–13	-0.01	41%	25 Jun →
dust2	11–13	-0.01	18%	24 Jun →
ancient	13–3	0.12	21%	24 Jun →
dust2	15–15	-0.01	17%	20 Jun →
nuke	13–6	0.02	28%	20 Jun →
overpass	5–13	-0.03	10%	20 Jun →
inferno	8–13	0.05	26%	20 Jun →
vertigo	10–13	-0.02	14%	18 Jun →
cache	13–2	0.10	19%	18 Jun →
mirage	13–11	0.02	6%	18 Jun →
mirage	13–3	0.09	19%	13 Jun →
ancient	13–4	0.11	14%	4 Jun →
mirage	13–1	0.04	19%	4 Jun →
dust2	0–2	-0.08	0%	4 Jun →
anubis	16–14	0.01	10%	29 May →
nuke	13–4	0.10	12%	29 May →
inferno	13–8	0.07	20%	29 May →
mirage	10–13	0.08	27%	27 May →
anubis	15–15	0.04	20%	27 May →
nuke	13–10	0.03	15%	27 May →
inferno	6–13	-0.02	23%	21 May →
dust2	6–13	-0.00	14%	21 May →
overpass	13–5	0.13	22%	20 May →
dust2	16–14	-0.03	9%	20 May →
dust2	10–13	-0.00	27%	19 May →
ancient	13–4	0.15	20%	19 May →