kc.♛ — CS2 Stats

DE76561198030078677[U:1:69812949]Steam profile ↗✓ No bans

1,036Tracked matches50%Win rate2020Tracked since

3,571Hours in CS21Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating21,547Top 50% of 44,590 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)

CSDB Leaderboard#17506 of 59548 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=2,587), 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 5 median	Level 6 median	vs Level 6
Headshot rate	37.3%	43.7%	44.7%	7.4% short
Shot accuracy	13.7%	11.8%	12.1%	above
Kill/death ratio	1.16	1.02	1.04	above
Match win rate	47.3%	45.0%	45.2%	above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim77

Positioning58

Utility66

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWWWLWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim7.7

Aggression7.3

Utility6.6

Positioning5.8

Opening Duels2.0

Clutch9.4

Reliable in 1v1s

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 93% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 573ms 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

Aim7.7

Positioning5.8

Utility6.6

Mechanics6.6

Opening Duels2.0

Win Impact5.0

Composite 6.3/10 (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 0.02 → last ⅓ avg 0.00

Reaction time575ms−71ms

first ⅓ avg 646ms → last ⅓ avg 575ms

Headshot accuracy14.2%+1.6%

first ⅓ avg 12.5% → last ⅓ avg 14.2%

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 — nuke 12–1

13–1Biggest win — dust2

8Longest win streak

W3Current streak

7–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 100% over 5anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	32	19–13	59%	0.02
cache	C	19	8–11	42%	0.02
inferno	C	16	7–9	44%	0.01
ancient	B	12	6–6	50%	0.02
mirage	B	10	5–5	50%	-0.01
anubis	D	6	2–4	33%	-0.03
nuke	S	5	5–0	100%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

96,916Lifetime kills

1.16K/D · Top 25% of Level 5 players

4,462Matches

47.3%Match win rate · Top 50% of Level 5 players

37.3%Headshot %

13.7%Shot accuracy · Top 50% of Level 5 players

12,120MVPs

2,220Hours (in match)

9,012Bombs planted

1,526Bombs defused

Most-used weapons

AK-4727,243

M4A4 / M4A1-S21,422

AWP6,447

P2000 / USP-S4,338

Glock-183,612

Desert Eagle3,586

FAMAS2,937

Tec-92,482

Galil AR2,433

P902,391

Lifetime map wins

16,389dust2

11,927inferno

4,608nuke

1,165train

622office

394cbble

259vertigo

230militia

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

Faceit stats

Combat

53Matches

55%Win rate

1.28Avg K/D

91.0ADR

32%Headshot %

Clutches & streaks

67%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1	0%	1.15	15.0
Mirage	1	0%	0.93	13.0
Inferno	1	100%	1.22	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.

13.4%Headshot accuracy

39.0%Accuracy (enemy spotted)

41.0%Spray accuracy

79.8%Counter-strafing

8.7°Preaim

573msReaction time

34.0%T opening success

41.9%CT opening success

0.61Enemies flashed / flash

5.0%Flash assists

8.70HE damage / grenade

15.73Flashes / 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 13.387% — below the 15% 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 34.0233% — 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 6 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	13–2	0.04	12%	30 Aug →
ancient	13–11	-0.01	17%	30 Aug →
nuke	12–1	0.12	18%	30 Aug →
anubis	7–13	-0.05	12%	30 Aug →
ancient	13–6	0.07	8%	30 Aug →
inferno	13–11	0.01	8%	25 Aug →
dust2	13–9	0.02	11%	25 Aug →
inferno	6–13	0.03	16%	23 Aug →
dust2	13–11	0.03	12%	23 Aug →
dust2	13–8	-0.04	12%	23 Aug →
dust2	11–13	0.05	20%	23 Aug →
anubis	13–8	-0.01	10%	23 Aug →
cache	11–13	-0.04	11%	23 Aug →
dust2	13–16	0.02	6%	22 Aug →
inferno	13–5	-0.04	19%	22 Aug →
cache	12–16	0.03	15%	22 Aug →
nuke	13–11	0.02	19%	22 Aug →
dust2	11–13	0.03	14%	22 Aug →
cache	11–13	0.05	16%	20 Aug →
dust2	13–7	0.03	15%	20 Aug →
ancient	7–13	0.02	17%	20 Aug →
mirage	13–7	-0.02	14%	20 Aug →
inferno	9–13	-0.04	2%	18 Aug →
dust2	1–5	-0.09	24%	18 Aug →
cache	6–13	-0.04	27%	18 Aug →
mirage	13–11	-0.01	6%	16 Aug →
cache	9–13	-0.01	15%	16 Aug →
nuke	13–9	-0.01	14%	16 Aug →
inferno	7–13	0.01	10%	8 Aug →
mirage	3–13	-0.05	15%	8 Aug →
inferno	13–2	0.02	13%	8 Aug →
anubis	10–13	-0.05	17%	8 Aug →
cache	7–13	-0.03	23%	8 Aug →
cache	13–7	0.03	14%	8 Aug →
ancient	13–4	-0.00	19%	7 Aug →
mirage	8–13	-0.03	18%	2 Aug →
ancient	8–13	0.00	16%	2 Aug →
dust2	10–13	-0.01	6%	2 Aug →
inferno	12–16	0.03	17%	2 Aug →
dust2	6–13	0.08	13%	2 Aug →
cache	13–10	0.04	10%	2 Aug →
anubis	13–7	0.02	14%	30 Jul →
ancient	13–10	-0.01	14%	30 Jul →
inferno	13–5	-0.02	12%	29 Jul →
nuke	13–3	0.04	7%	29 Jul →
dust2	13–5	0.04	9%	29 Jul →
mirage	13–10	-0.04	16%	29 Jul →
dust2	13–8	0.07	11%	29 Jul →
ancient	8–13	-0.03	16%	28 Jul →
inferno	13–2	0.07	14%	28 Jul →
dust2	13–1	0.10	14%	28 Jul →
cache	13–7	0.08	9%	28 Jul →
dust2	13–5	0.01	10%	28 Jul →
cache	15–15	0.06	10%	27 Jul →
ancient	13–7	0.06	6%	27 Jul →
mirage	6–13	-0.01	16%	27 Jul →
dust2	7–13	-0.04	18%	27 Jul →
mirage	13–3	0.07	11%	22 Jul →
cache	13–16	-0.00	7%	22 Jul →
dust2	9–13	-0.03	9%	22 Jul →
cache	13–5	0.07	19%	22 Jul →
cache	16–12	0.02	8%	21 Jul →
dust2	13–5	0.01	22%	21 Jul →
cache	11–13	0.02	10%	21 Jul →
mirage	8–13	-0.05	19%	21 Jul →
inferno	3–13	-0.10	7%	21 Jul →
ancient	15–15	0.05	12%	21 Jul →
dust2	13–11	0.06	10%	21 Jul →
cache	13–4	0.08	19%	20 Jul →
anubis	5–13	-0.04	12%	20 Jul →
cache	13–7	0.05	4%	20 Jul →
inferno	13–2	0.11	6%	20 Jul →
ancient	13–16	0.02	14%	20 Jul →
inferno	10–13	0.06	10%	20 Jul →
dust2	16–14	0.02	12%	19 Jul →
inferno	10–13	0.09	15%	19 Jul →
dust2	2–13	-0.07	7%	19 Jul →
dust2	13–8	0.05	16%	19 Jul →
dust2	13–3	0.01	9%	19 Jul →
dust2	13–5	0.07	13%	19 Jul →
dust2	13–6	0.03	12%	19 Jul →
ancient	6–13	0.04	7%	19 Jul →
ancient	13–9	0.03	8%	18 Jul →
dust2	13–2	0.02	12%	18 Jul →
dust2	6–13	-0.09	17%	18 Jul →
mirage	13–9	0.03	8%	18 Jul →
inferno	6–13	-0.06	13%	18 Jul →
cache	2–13	-0.04	11%	18 Jul →
dust2	15–15	-0.02	12%	17 Jul →
nuke	13–10	-0.03	14%	17 Jul →
inferno	10–13	0.02	20%	17 Jul →
cache	13–7	0.03	6%	17 Jul →
cache	11–13	-0.00	9%	17 Jul →
dust2	13–5	0.09	8%	17 Jul →
mirage	9–13	-0.03	10%	13 Jul →
dust2	3–13	0.01	7%	13 Jul →
dust2	13–4	0.06	29%	13 Jul →
anubis	10–13	-0.08	21%	9 Jul →
dust2	6–13	0.04	16%	9 Jul →
dust2	13–8	-0.02	29%	9 Jul →