bdk — CS2 Stats

DE76561198991396021[U:1:1031130293]Steam profile ↗✓ No bans

304Tracked matches36%Win rate2025Tracked since

477Hours in CS4Hrs last 2 wks

CSDB Rating1.8 Learning

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim21

Positioning33

Utility14

0–100 skill scores via Leetify.

Recent form

STEADY36–55–9Last 10036%Win rateLWLWWTLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim2.1

Aggression2.6

Utility1.4

Positioning3.3

Opening Duels0.3

Clutch0.0

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 NiKo 62% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 679ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim2.1

Positioning3.3

Utility1.4

Mechanics1.4

Opening Duels1.0

Win Impact0.2

Composite 1.8/10 (Learning), 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-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time686ms−56ms

first ⅓ avg 742ms → last ⅓ avg 686ms

Headshot accuracy16.2%+2.3%

first ⅓ avg 13.9% → last ⅓ avg 16.2%

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

0.11Best rating — mirage 7–13

13–0Biggest win — cache

4Longest win streak

7–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 56% over 16trainWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	28	10–18	36%	-0.04
inferno	D	21	5–16	24%	-0.03
dust2	A	16	9–7	56%	-0.02
anubis	A	9	5–4	56%	-0.03
mirage	D	9	2–7	22%	-0.03
train	D	6	1–5	17%	-0.02
overpass	—	4	1–3	25%	-0.04
nuke	—	3	1–2	33%	-0.03
vertigo	—	1	1–0	100%	-0.06
office	—	1	0–1	0%	-0.05
warden	—	1	0–1	0%	-0.06
ancient	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Lifetime stats

15,489Lifetime kills

0.78K/D

1,041Matches

33.6%Match win rate

44.0%Headshot %

7.6%Shot accuracy

1,411MVPs

299Hours (in match)

663Bombs planted

187Bombs defused

Most-used weapons

AK-474,961

M4A4 / M4A1-S2,795

AWP761

P2000 / USP-S720

Desert Eagle661

Glock-18649

MP7638

P90431

Galil AR429

MAC-10384

Lifetime map wins

1,714inferno

1,617dust2

986nuke

329train

63vertigo

32office

18bank

15lake

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

Faceit stats

Combat

11Matches

36%Win rate

0.76Avg K/D

64.9ADR

46%Headshot %

Clutches & streaks

14%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	0%	0.72	12.3
Anubis	2	50%	0.70	15.0
Mirage	2	100%	1.11	18.0
Inferno	2	50%	0.60	11.0
Ancient	2	0%	0.71	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.

14.6%Headshot accuracy

28.1%Accuracy (enemy spotted)

32.5%Spray accuracy

56.4%Counter-strafing

11.8°Preaim

679msReaction time

24.4%T opening success

37.8%CT opening success

0.28Enemies flashed / flash

6.6%Flash assists

5.23HE damage / grenade

1.61Flashes / 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 14.6011% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.282 — below the 0.5 mark we flag
Grenade Lineups →
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 24.4147% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	-0.04	15%	26 Aug →
cache	13–3	-0.02	16%	26 Aug →
cache	2–13	-0.06	23%	26 Aug →
cache	13–11	-0.05	14%	26 Aug →
inferno	9–4	0.04	17%	19 Aug →
inferno	12–12	-0.04	17%	19 Aug →
inferno	0–4	-0.07	60%	19 Aug →
dust2	13–7	0.01	19%	14 Aug →
dust2	13–6	-0.01	13%	14 Aug →
train	13–7	-0.03	27%	12 Aug →
cache	7–13	-0.06	24%	12 Aug →
cache	5–13	-0.05	15%	12 Aug →
cache	4–13	-0.04	6%	5 Aug →
anubis	13–2	0.02	10%	5 Aug →
dust2	13–3	0.01	16%	5 Aug →
vertigo	13–6	-0.06	9%	31 Jul →
inferno	4–13	-0.04	15%	30 Jul →
anubis	13–6	-0.01	14%	30 Jul →
cache	12–12	-0.06	5%	30 Jul →
cache	4–13	-0.04	10%	26 Jul →
anubis	5–13	-0.08	9%	26 Jul →
dust2	9–13	0.00	23%	25 Jul →
dust2	7–13	-0.05	12%	24 Jul →
cache	4–13	-0.03	21%	24 Jul →
inferno	6–13	-0.01	9%	24 Jul →
cache	1–13	-0.04	8%	23 Jul →
inferno	11–13	-0.06	13%	17 Jul →
cache	13–9	0.03	15%	17 Jul →
overpass	9–13	0.01	16%	17 Jul →
inferno	11–13	-0.06	8%	12 Jul →
inferno	10–13	-0.02	12%	10 Jul →
cache	11–13	-0.05	12%	9 Jul →
cache	13–11	-0.02	30%	5 Jul →
cache	13–0	0.08	16%	2 Jul →
nuke	8–13	-0.06	11%	2 Jul →
cache	12–12	-0.03	20%	2 Jul →
cache	9–13	-0.05	31%	24 Jun →
train	5–13	-0.07	18%	24 Jun →
cache	13–6	-0.02	17%	24 Jun →
train	12–12	-0.04	14%	20 Jun →
dust2	10–5	-0.09	29%	19 Jun →
cache	12–12	-0.07	19%	19 Jun →
anubis	10–0	0.01	18%	19 Jun →
train	10–13	-0.00	15%	17 Jun →
cache	10–13	-0.02	18%	13 Jun →
inferno	13–11	-0.03	9%	12 Jun →
mirage	11–13	-0.05	18%	12 Jun →
mirage	9–13	0.04	16%	12 Jun →
dust2	5–13	-0.03	19%	10 Jun →
cache	11–13	-0.06	17%	3 Jun →
dust2	6–13	-0.11	10%	3 Jun →
nuke	9–13	0.01	13%	3 Jun →
inferno	2–13	-0.02	23%	3 Jun →
dust2	13–2	0.08	29%	30 May →
mirage	7–13	0.11	23%	30 May →
anubis	9–13	0.06	11%	27 May →
anubis	3–13	-0.06	26%	27 May →
anubis	13–8	-0.00	23%	27 May →
anubis	13–9	-0.11	7%	24 May →
office	4–13	-0.05	10%	24 May →
inferno	7–13	0.02	24%	24 May →
dust2	9–13	0.09	10%	24 May →
cache	11–13	-0.06	21%	24 May →
mirage	7–13	-0.11	0%	23 May →
cache	13–3	-0.04	7%	16 May →
nuke	13–7	-0.05	24%	16 May →
mirage	2–4	-0.13	0%	16 May →
inferno	2–13	-0.08	20%	16 May →
mirage	13–10	-0.01	13%	16 May →
mirage	13–4	0.05	14%	11 May →
inferno	16–13	-0.00	16%	8 May →
cache	13–11	-0.02	23%	4 May →
cache	8–13	-0.10	10%	2 May →
cache	3–3	-0.03	36%	2 May →
warden	0–13	-0.06	11%	2 May →
cache	13–7	-0.06	13%	30 Apr →
cache	4–13	-0.13	5%	29 Apr →
train	12–12	0.02	11%	27 Apr →
inferno	13–2	-0.01	13%	27 Apr →
dust2	7–13	-0.04	10%	24 Apr →
dust2	13–9	0.03	15%	24 Apr →
mirage	2–13	-0.10	6%	23 Apr →
train	5–13	0.01	9%	22 Apr →
inferno	10–13	-0.04	19%	22 Apr →
dust2	4–13	-0.06	10%	22 Apr →
overpass	9–13	-0.00	14%	22 Apr →
inferno	8–8	0.01	11%	21 Apr →
dust2	9–0	-0.01	8%	20 Apr →
overpass	13–10	-0.03	17%	20 Apr →
overpass	9–13	-0.13	4%	18 Apr →
dust2	13–4	-0.11	26%	18 Apr →
inferno	8–13	-0.06	12%	18 Apr →
inferno	12–16	0.01	13%	18 Apr →
inferno	15–15	-0.06	6%	17 Apr →
dust2	13–11	-0.02	20%	17 Apr →
anubis	11–13	-0.06	18%	17 Apr →
mirage	12–12	-0.04	14%	17 Apr →
ancient	13–5	-0.04	18%	17 Apr →
inferno	2–0	0.00	0%	17 Apr →
inferno	2–9	-0.14	24%	17 Apr →