Tay KC — CS2 Stats

US76561198444651941[U:1:484386213]Steam profile ↗✓ No bans

2,683Tracked matches48%Win rate2020Tracked since

4,331Hours in CS32Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating17,816Purple band · top ~17.2% of ranked players (population est.)

CSDB Leaderboard#6713 of 11975 tracked

FaceitLevel 7 · 1,526 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning61

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY48–42–10Last 10048%Win rateWLWLWLWLTW

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

Player DNA

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

Aim8.5

Aggression7.4

Utility6.5

Positioning6.1

Opening Duels3.4

Clutch2.6

Sharp aimerStrong 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 b1t 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 55% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5

Positioning6.1

Utility6.5

Mechanics7.8

Opening Duels3.4

Win Impact4.4

Composite 6.7/10 (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 rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time579ms−20ms

first ⅓ avg 599ms → last ⅓ avg 579ms

Headshot accuracy23.1%+3.3%

first ⅓ avg 19.8% → last ⅓ avg 23.1%

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

0.25Best rating — vertigo 9–3

13–1Biggest win — mirage

4Longest win streak

5–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 69% over 16nukeWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	10–12	45%	0.02
mirage	C	21	9–12	43%	0.02
cache	C	19	8–11	42%	0.02
dust2	S	16	11–5	69%	0.02
anubis	B	11	5–6	45%	0.01
nuke	D	6	2–4	33%	0.02
ancient	—	4	2–2	50%	0.02
vertigo	—	1	1–0	100%	0.25

Across the last 100 tracked matches.

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

Lifetime stats

157,643Lifetime kills

1.01K/D

6,741Matches

31.6%Match win rate

52.4%Headshot % · Top 25% of tracked players

11.3%Shot accuracy

9,876MVPs

2,585Hours (in match)

7,231Bombs planted

1,305Bombs defused

Most-used weapons

AK-4780,084

M4A4 / M4A1-S32,508

AWP11,345

P2000 / USP-S10,392

Glock-184,094

Desert Eagle3,560

P2502,729

MAC-102,334

MP91,938

FAMAS1,378

Lifetime map wins

8,067dust2

6,787inferno

3,550nuke

2,124train

1,892vertigo

333cbble

76office

19lake

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

Faceit stats

Combat

391Matches

50%Win rate

1.18Avg K/D

82.3ADR

39%Headshot %

Clutches & streaks

33%1v1 clutch win

28%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	42	55%	1.48	16.9
Anubis	29	48%	1.20	16.1
Inferno	29	41%	1.37	18.6
Ancient	16	44%	1.14	18.7
Nuke	14	43%	1.24	14.4
Dust2	10	40%	1.17	17.0
Vertigo	8	38%	1.08	14.8
Cache	5	40%	1.04	18.8

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.

22.4%Headshot accuracy

41.1%Accuracy (enemy spotted)

41.4%Spray accuracy

85.3%Counter-strafing

11.2°Preaim

573msReaction time

32.3%T opening success

54.8%CT opening success

0.65Enemies flashed / flash

9.3%Flash assists

7.57HE damage / grenade

10.33Flashes / 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 32.2809% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	9–3	0.25	34%	23 Aug →
nuke	11–13	0.08	19%	23 Aug →
cache	13–6	0.04	23%	23 Aug →
ancient	12–16	0.09	18%	23 Aug →
cache	13–3	0.12	14%	23 Aug →
cache	7–13	-0.02	16%	23 Aug →
inferno	13–9	0.02	21%	22 Aug →
cache	8–13	-0.04	28%	21 Aug →
mirage	12–12	0.00	25%	16 Aug →
mirage	13–9	0.01	13%	15 Aug →
dust2	13–5	0.02	27%	15 Aug →
inferno	9–13	0.10	27%	15 Aug →
nuke	11–13	0.00	26%	15 Aug →
mirage	13–10	0.08	30%	15 Aug →
cache	7–13	-0.03	24%	15 Aug →
mirage	3–13	-0.06	30%	15 Aug →
dust2	10–13	0.07	29%	13 Aug →
nuke	13–10	0.01	18%	13 Aug →
cache	10–13	0.01	22%	12 Aug →
cache	16–13	0.02	26%	12 Aug →
inferno	13–5	0.07	31%	10 Aug →
anubis	16–14	0.01	24%	10 Aug →
cache	13–8	0.03	28%	10 Aug →
mirage	10–13	0.03	15%	10 Aug →
mirage	8–13	-0.07	15%	9 Aug →
inferno	8–13	-0.03	26%	9 Aug →
cache	13–10	0.06	22%	9 Aug →
anubis	10–13	-0.05	15%	9 Aug →
ancient	11–13	0.02	15%	9 Aug →
dust2	13–10	0.00	32%	9 Aug →
anubis	13–8	-0.04	15%	9 Aug →
dust2	13–8	-0.04	24%	9 Aug →
nuke	11–13	0.01	29%	9 Aug →
ancient	13–10	-0.06	24%	9 Aug →
mirage	13–7	0.01	26%	9 Aug →
inferno	7–13	0.03	22%	9 Aug →
mirage	5–13	-0.03	13%	9 Aug →
inferno	13–5	0.07	20%	9 Aug →
inferno	5–13	0.03	20%	8 Aug →
dust2	13–5	0.03	33%	8 Aug →
mirage	13–11	0.04	21%	5 Aug →
mirage	13–3	0.10	22%	5 Aug →
mirage	16–19	-0.00	23%	4 Aug →
anubis	9–13	0.08	31%	4 Aug →
inferno	9–13	-0.01	13%	4 Aug →
dust2	13–9	0.03	26%	3 Aug →
dust2	13–4	-0.01	17%	3 Aug →
inferno	12–12	0.03	26%	2 Aug →
mirage	8–13	-0.00	20%	2 Aug →
dust2	13–6	0.04	29%	2 Aug →
inferno	13–11	0.01	21%	2 Aug →
anubis	12–12	0.07	27%	1 Aug →
inferno	8–13	0.02	22%	1 Aug →
mirage	13–11	-0.00	15%	27 Jul →
cache	9–13	0.05	27%	27 Jul →
cache	8–13	0.04	26%	26 Jul →
inferno	13–11	-0.00	34%	26 Jul →
dust2	8–13	-0.00	21%	26 Jul →
inferno	1–13	-0.06	22%	26 Jul →
anubis	9–13	0.05	28%	26 Jul →
cache	13–5	0.07	27%	26 Jul →
anubis	11–13	-0.03	14%	26 Jul →
dust2	13–2	0.02	21%	26 Jul →
mirage	12–12	0.04	28%	26 Jul →
inferno	13–9	0.05	26%	26 Jul →
cache	13–10	0.05	25%	26 Jul →
nuke	13–7	0.02	24%	19 Jul →
anubis	13–8	0.09	23%	18 Jul →
inferno	12–12	-0.01	20%	18 Jul →
dust2	9–13	0.04	25%	18 Jul →
inferno	13–9	-0.04	13%	17 Jul →
anubis	13–8	-0.04	13%	17 Jul →
mirage	13–2	0.07	15%	17 Jul →
anubis	7–13	-0.07	18%	13 Jul →
ancient	13–7	0.04	23%	13 Jul →
mirage	12–16	-0.04	13%	13 Jul →
cache	9–13	-0.04	16%	13 Jul →
dust2	13–6	-0.02	20%	13 Jul →
cache	12–12	0.06	26%	11 Jul →
inferno	9–13	-0.02	14%	11 Jul →
dust2	13–9	0.07	17%	11 Jul →
dust2	8–13	0.03	27%	10 Jul →
inferno	13–2	0.13	22%	10 Jul →
cache	13–7	-0.09	5%	10 Jul →
mirage	13–1	0.14	22%	10 Jul →
cache	11–13	0.09	27%	9 Jul →
cache	0–6	0.01	43%	9 Jul →
mirage	12–12	0.01	24%	9 Jul →
anubis	13–4	0.07	24%	9 Jul →
inferno	13–7	0.01	22%	9 Jul →
cache	5–13	-0.04	11%	8 Jul →
inferno	8–13	0.00	20%	8 Jul →
inferno	12–12	0.06	15%	7 Jul →
mirage	11–13	-0.05	39%	6 Jul →
dust2	13–7	0.01	16%	6 Jul →
mirage	12–12	-0.04	12%	6 Jul →
dust2	12–12	-0.01	17%	6 Jul →
nuke	8–13	0.01	21%	3 Jul →
mirage	13–4	0.10	16%	3 Jul →
inferno	7–3	-0.01	17%	3 Jul →