Buk Lau — CS2 Stats

76561199070054267[U:1:1109788539]Steam profile ↗✓ No bans

3,156Tracked matches57%Win rate2020Tracked since

CSDB Rating3.2 Learning

Premier CS Rating13,272Blue band · top ~37.6% of ranked players (population est.)

CSDB Leaderboard#36698 of 56155 tracked

WingmanGold Nova II

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim22

Positioning34

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLWWWLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim2.2

Aggression2.3

Utility5.6

Positioning3.4

Opening Duels0.0

Clutch6.0

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 67% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 42% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim2.2

Positioning3.4

Utility5.6

Mechanics2.1

Opening Duels1.6

Win Impact7.4

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time595ms−80ms

first ⅓ avg 675ms → last ⅓ avg 595ms

Headshot accuracy13.8%+0.8%

first ⅓ avg 12.9% → last ⅓ avg 13.8%

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

0.07Best rating — inferno 13–6

13–3Biggest win — nuke

4Longest win streak

8–9In matches decided by ≤2 rounds

15Overtime games

Map breakdown

infernoBest map · 67% over 9cacheWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	14–16	47%	-0.02
mirage	B	19	10–9	53%	-0.03
nuke	A	11	6–5	55%	-0.03
cache	D	11	3–8	27%	-0.04
ancient	D	10	3–7	30%	-0.05
inferno	S	9	6–3	67%	-0.02
anubis	C	7	3–4	43%	-0.04
overpass	—	3	1–2	33%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

31Matches

45%Win rate

0.71Avg K/D

66.0ADR

37%Headshot %

Clutches & streaks

50%1v1 clutch win

12%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	11	73%	0.67	11.4
Mirage	8	50%	0.78	12.6
Nuke	5	40%	0.85	16.4
Ancient	3	0%	0.62	15.0
Inferno	2	0%	0.74	11.5
Overpass	1	0%	0.38	8.0
Anubis	1	0%	0.58	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.

13.8%Headshot accuracy

27.0%Accuracy (enemy spotted)

27.5%Spray accuracy

59.4%Counter-strafing

12.6°Preaim

590msReaction time

15.8%T opening success

42.4%CT opening success

0.62Enemies flashed / flash

4.7%Flash assists

8.70HE damage / grenade

12.28Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5574° — above the 12° mark we flag
Aim Training →
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 13.7665% — below the 15% mark we flag
Aim Training →

Spend your practice time on Cache

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.06	11%	29 Aug →
dust2	13–8	0.02	25%	29 Aug →
nuke	13–10	-0.05	31%	24 Aug →
anubis	13–4	-0.04	25%	24 Aug →
mirage	7–13	-0.10	22%	21 Aug →
nuke	3–13	-0.05	9%	21 Aug →
inferno	6–13	-0.02	17%	20 Aug →
nuke	13–3	0.04	11%	20 Aug →
cache	7–13	-0.10	7%	20 Aug →
anubis	7–13	-0.09	15%	20 Aug →
ancient	9–13	-0.06	12%	20 Aug →
dust2	13–5	0.03	16%	20 Aug →
mirage	13–11	-0.05	12%	20 Aug →
mirage	15–15	-0.03	15%	16 Aug →
dust2	16–12	0.01	9%	16 Aug →
dust2	13–5	0.00	7%	16 Aug →
nuke	6–13	-0.00	10%	16 Aug →
nuke	13–10	-0.04	23%	15 Aug →
dust2	12–16	-0.01	3%	14 Aug →
anubis	13–9	0.03	13%	14 Aug →
ancient	11–13	-0.01	16%	8 Aug →
cache	11–13	-0.07	15%	8 Aug →
ancient	13–10	-0.10	4%	5 Aug →
dust2	13–5	0.01	20%	5 Aug →
dust2	10–13	-0.05	20%	5 Aug →
mirage	13–6	-0.03	14%	5 Aug →
dust2	16–13	0.01	9%	2 Aug →
anubis	13–4	-0.06	7%	2 Aug →
mirage	15–15	-0.05	9%	2 Aug →
dust2	16–12	-0.10	10%	2 Aug →
ancient	13–11	-0.01	11%	1 Aug →
dust2	3–13	-0.11	8%	1 Aug →
mirage	13–8	-0.04	16%	1 Aug →
dust2	8–13	-0.01	10%	1 Aug →
dust2	15–15	-0.05	8%	1 Aug →
dust2	15–15	-0.01	20%	31 Jul →
nuke	13–3	-0.04	18%	31 Jul →
ancient	5–13	-0.07	9%	31 Jul →
ancient	4–13	-0.05	7%	31 Jul →
nuke	9–13	-0.02	30%	25 Jul →
inferno	11–13	-0.05	21%	25 Jul →
mirage	13–10	0.00	13%	22 Jul →
nuke	9–13	-0.11	11%	21 Jul →
nuke	9–13	-0.09	19%	21 Jul →
anubis	5–13	-0.06	5%	21 Jul →
cache	13–4	-0.05	26%	21 Jul →
dust2	4–6	-0.01	0%	21 Jul →
cache	9–13	-0.04	17%	18 Jul →
inferno	13–11	-0.04	5%	18 Jul →
mirage	13–8	-0.03	5%	18 Jul →
anubis	3–13	-0.06	15%	18 Jul →
mirage	13–9	-0.03	7%	18 Jul →
mirage	5–13	-0.05	4%	17 Jul →
ancient	8–13	-0.07	7%	17 Jul →
dust2	16–13	0.00	19%	17 Jul →
mirage	7–13	-0.07	17%	17 Jul →
dust2	9–13	-0.02	14%	14 Jul →
inferno	13–6	0.07	15%	14 Jul →
dust2	10–13	-0.08	13%	14 Jul →
anubis	5–13	0.01	8%	14 Jul →
ancient	16–14	-0.04	6%	13 Jul →
mirage	13–8	-0.04	13%	13 Jul →
cache	6–13	-0.03	9%	13 Jul →
cache	13–3	-0.01	6%	13 Jul →
inferno	13–9	-0.01	11%	12 Jul →
inferno	13–11	-0.02	5%	11 Jul →
dust2	13–8	0.02	13%	11 Jul →
cache	9–13	-0.04	5%	11 Jul →
dust2	11–13	0.03	13%	3 Jul →
overpass	6–13	-0.03	9%	3 Jul →
mirage	13–11	0.00	8%	3 Jul →
cache	9–3	-0.07	8%	28 Jun →
cache	12–12	0.02	13%	28 Jun →
nuke	13–3	0.01	19%	27 Jun →
dust2	13–10	0.02	6%	27 Jun →
dust2	12–12	-0.06	14%	24 Jun →
dust2	5–13	-0.02	12%	24 Jun →
dust2	13–8	-0.03	19%	21 Jun →
nuke	16–13	0.04	16%	21 Jun →
dust2	13–10	0.00	15%	6 Jun →
dust2	9–13	-0.02	12%	6 Jun →
inferno	14–16	-0.04	20%	5 Jun →
ancient	11–13	-0.01	3%	31 May →
cache	7–13	-0.08	21%	31 May →
cache	9–13	0.04	19%	31 May →
mirage	13–7	0.04	21%	31 May →
mirage	9–13	-0.03	10%	26 May →
mirage	9–13	-0.04	8%	26 May →
dust2	13–10	-0.04	9%	26 May →
inferno	13–11	-0.03	14%	26 May →
overpass	11–13	-0.02	14%	26 May →
dust2	14–16	-0.05	18%	25 May →
ancient	9–13	-0.06	6%	22 May →
inferno	13–6	-0.09	14%	22 May →
mirage	13–10	0.00	14%	22 May →
dust2	10–13	-0.04	13%	16 May →
mirage	8–13	-0.00	19%	16 May →
overpass	13–6	-0.02	8%	16 May →
mirage	13–16	0.01	11%	16 May →
dust2	14–16	0.04	15%	13 May →