kayaAalepgm — CS2 Stats

76561198035416412[U:1:75150684]Steam profile ↗✓ No bans

983Tracked matches52%Win rate2020Tracked since

2,324Hours in CS

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating18,627Purple band · top ~14% of ranked players (population est.)

CSDB Leaderboard#24829 of 54539 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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 9 median	Level 10 median	vs Level 10
Headshot rate	35.2%	48.5%	51.9%	16.7% short
Shot accuracy	15.1%	13.3%	13.7%	above
Kill/death ratio	1.06	1.07	1.08	0.03 short
Match win rate	47.3%	47.0%	48.7%	1.4% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

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

Aim75

Positioning50

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWWWLWWLLLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5

Aggression6.5

Utility6.4

Positioning5.0

Opening Duels2.3

Clutch10.0

Strong CT-side openerReliable 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 Twistzz 92% 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 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.5

Positioning5.0

Utility6.4

Mechanics6.7

Opening Duels2.3

Win Impact5.6

Composite 6.0/10 (Solid), 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-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time519ms−38ms

first ⅓ avg 557ms → last ⅓ avg 519ms

Headshot accuracy14.9%−0.5%

first ⅓ avg 15.5% → last ⅓ avg 14.9%

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

0.16Best rating — dust2 13–2

13–0Biggest win — dust2

3Longest win streak

W3Current streak

8–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 59% over 22ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	15–14	52%	0.00
inferno	A	22	13–9	59%	-0.00
cache	B	13	6–7	46%	0.01
anubis	B	12	6–6	50%	-0.01
mirage	D	9	3–6	33%	0.02
nuke	C	8	3–5	38%	-0.02
ancient	D	6	1–5	17%	-0.02
overpass	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,141Lifetime kills

1.06K/D

4,441Matches

47.3%Match win rate · Top 50% of Level 9 players

35.2%Headshot %

15.1%Shot accuracy · Top 50% of Level 9 players

11,419MVPs

2,324Hours (in match)

3,206Bombs planted

1,161Bombs defused

Most-used weapons

AK-4735,214

M4A4 / M4A1-S20,375

AWP19,486

P2000 / USP-S5,547

Desert Eagle4,978

Glock-183,439

AUG3,051

P2502,383

Knife1,585

UMP-451,536

Lifetime map wins

21,389inferno

10,786dust2

2,102nuke

1,348train

1,222cbble

735vertigo

16office

16aztec

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

Faceit stats

Combat

2,034Matches

51%Win rate

1.13Avg K/D

77.3ADR

35%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	1	0%	0.47	7.0
Inferno	1	100%	1.18	13.0

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.

14.7%Headshot accuracy

33.9%Accuracy (enemy spotted)

36.9%Spray accuracy

80.0%Counter-strafing

8.2°Preaim

514msReaction time

30.9%T opening success

47.6%CT opening success

0.56Enemies flashed / flash

5.2%Flash assists

10.99HE damage / grenade

11.07Flashes / 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 14.712% — 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 30.9438% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–4	-0.03	10%	26 Aug →
cache	13–8	0.01	11%	26 Aug →
dust2	13–0	0.02	24%	26 Aug →
dust2	6–13	-0.08	9%	26 Aug →
inferno	13–5	-0.03	18%	25 Aug →
dust2	13–2	0.08	9%	19 Aug →
ancient	5–13	-0.08	9%	19 Aug →
mirage	5–13	0.08	9%	19 Aug →
nuke	5–13	-0.04	12%	19 Aug →
inferno	7–13	0.05	16%	17 Aug →
cache	16–13	0.03	17%	17 Aug →
anubis	11–13	0.08	25%	17 Aug →
dust2	13–11	-0.05	16%	17 Aug →
cache	10–13	0.05	17%	17 Aug →
cache	15–15	-0.03	15%	17 Aug →
mirage	13–10	-0.02	15%	17 Aug →
ancient	14–16	-0.03	14%	14 Aug →
mirage	13–6	0.04	16%	14 Aug →
nuke	3–13	-0.05	26%	14 Aug →
inferno	13–4	0.01	7%	14 Aug →
cache	11–13	-0.01	16%	14 Aug →
dust2	9–13	0.01	12%	14 Aug →
dust2	8–13	-0.03	22%	11 Aug →
mirage	6–13	-0.02	23%	11 Aug →
inferno	16–13	-0.02	12%	11 Aug →
nuke	13–5	-0.01	7%	2 Aug →
dust2	13–7	-0.02	8%	1 Aug →
inferno	14–16	-0.02	14%	1 Aug →
cache	13–10	0.05	16%	1 Aug →
ancient	13–8	0.02	14%	1 Aug →
dust2	6–13	-0.03	22%	1 Aug →
inferno	13–5	-0.01	12%	29 Jul →
inferno	11–13	0.01	20%	29 Jul →
anubis	5–13	-0.08	12%	29 Jul →
inferno	7–13	-0.02	21%	28 Jul →
cache	13–5	0.00	12%	28 Jul →
mirage	10–13	0.06	14%	28 Jul →
cache	4–13	-0.06	26%	28 Jul →
anubis	4–13	-0.04	18%	27 Jul →
nuke	4–13	-0.03	26%	27 Jul →
cache	13–9	0.03	17%	27 Jul →
anubis	13–10	-0.05	19%	23 Jul →
dust2	6–13	0.03	16%	22 Jul →
dust2	13–11	-0.05	15%	22 Jul →
cache	10–13	-0.01	10%	22 Jul →
anubis	9–13	-0.06	12%	22 Jul →
inferno	13–10	0.00	20%	22 Jul →
dust2	8–13	-0.05	29%	22 Jul →
dust2	13–4	0.05	11%	22 Jul →
dust2	12–16	0.00	20%	20 Jul →
dust2	13–1	0.01	17%	20 Jul →
cache	10–13	-0.01	11%	20 Jul →
inferno	13–7	-0.01	16%	20 Jul →
dust2	11–13	-0.01	20%	20 Jul →
inferno	15–15	0.05	21%	20 Jul →
dust2	13–2	0.16	40%	20 Jul →
dust2	13–7	0.05	24%	20 Jul →
cache	7–13	-0.04	10%	20 Jul →
inferno	16–13	0.04	22%	20 Jul →
cache	13–11	0.07	10%	20 Jul →
anubis	13–4	0.12	14%	24 May →
ancient	9–13	-0.01	19%	24 May →
inferno	13–11	-0.04	11%	24 May →
mirage	7–13	-0.02	20%	18 May →
inferno	13–11	0.01	10%	10 May →
anubis	13–7	0.04	10%	10 May →
ancient	5–13	-0.04	18%	8 May →
dust2	13–6	-0.01	24%	3 May →
mirage	7–13	0.00	17%	3 May →
mirage	7–13	-0.03	22%	3 May →
dust2	13–7	0.03	3%	3 May →
inferno	8–13	0.02	14%	3 May →
dust2	13–11	-0.01	15%	27 Apr →
nuke	13–11	0.03	20%	27 Apr →
nuke	6–13	0.06	11%	24 Apr →
dust2	13–9	0.01	17%	24 Apr →
inferno	13–4	0.00	15%	15 Apr →
nuke	13–3	-0.11	8%	15 Apr →
inferno	7–13	-0.01	12%	6 Apr →
ancient	8–13	0.04	11%	6 Apr →
anubis	16–13	-0.04	16%	1 Apr →
dust2	13–7	0.03	12%	1 Apr →
dust2	9–13	-0.07	15%	1 Apr →
mirage	13–5	0.06	25%	30 Mar →
inferno	13–3	-0.00	9%	30 Mar →
anubis	13–8	-0.01	23%	29 Mar →
anubis	11–13	0.02	18%	29 Mar →
inferno	9–13	-0.00	7%	29 Mar →
dust2	13–10	-0.04	14%	29 Mar →
dust2	14–16	0.01	15%	28 Mar →
nuke	7–13	0.02	13%	28 Mar →
anubis	8–13	-0.08	26%	28 Mar →
inferno	13–10	0.00	13%	28 Mar →
dust2	10–13	-0.01	20%	27 Mar →
dust2	4–13	-0.00	23%	27 Mar →
inferno	7–13	-0.03	10%	27 Mar →
dust2	11–13	-0.01	19%	25 Mar →
overpass	13–11	-0.04	11%	25 Mar →
dust2	9–13	-0.03	19%	22 Mar →
inferno	13–5	0.00	16%	22 Mar →