Bunu Donk — CS2 Stats

76561198043189601[U:1:82923873]

541Tracked matches61%Win rate2021Tracked since

1,012Hours in CS

CSDB Rating6.4 SolidAggressive Rifler

WingmanGold Nova III

Ladder ranks via Leetify

Performance scores

Aim75

Positioning56

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWWWLWLWLW

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

Aggression7.5

Utility5.8

Positioning5.6

Opening Duels2.4

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 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 596ms 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

Aim7.5

Positioning5.6

Utility5.8

Mechanics7.3

Opening Duels2.4

Win Impact8.6

Composite 6.4/10 (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 0.01 → last ⅓ avg 0.02

Reaction time601ms−57ms

first ⅓ avg 658ms → last ⅓ avg 601ms

Headshot accuracy17.7%+0.8%

first ⅓ avg 16.9% → last ⅓ avg 17.7%

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

0.18Best rating — alpine 13–1

13–1Biggest win — vertigo

5Longest win streak

8–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

vertigoBest map · 75% over 8anubisWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	16	8–8	50%	0.03
cache	B	13	7–6	54%	0.03
anubis	C	13	5–8	38%	0.01
ancient	A	11	6–5	55%	0.01
overpass	C	10	4–6	40%	0.01
vertigo	S	8	6–2	75%	0.01
dust2	C	8	3–5	38%	0.00
train	A	8	5–3	63%	0.05
office	B	6	3–3	50%	0.02
poseidon	—	2	1–1	50%	-0.01
alpine	—	2	1–1	50%	0.17
shelter	—	1	1–0	100%	0.00
warden	—	1	0–1	0%	0.03
mirage	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,219Lifetime kills

1.04K/D · Top 50% of tracked players

2,639Matches

40.9%Match win rate

38.7%Headshot %

16.7%Shot accuracy · Top 25% of tracked players

5,115MVPs

1,012Hours (in match)

2,436Bombs planted

495Bombs defused

Most-used weapons

AK-4714,372

M4A4 / M4A1-S10,403

AWP8,285

P2000 / USP-S2,241

Desert Eagle1,901

SG 5531,764

Glock-181,757

FAMAS770

Galil AR714

MP9690

Lifetime map wins

6,741dust2

2,011nuke

1,957inferno

1,162vertigo

945train

292cbble

187lake

171assault

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

Faceit stats

Combat

2Matches

0%Win rate

0.33Avg K/D

—ADR

16%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

18.3%Headshot accuracy

34.7%Accuracy (enemy spotted)

37.9%Spray accuracy

83.0%Counter-strafing

8.5°Preaim

596msReaction time

34.0%T opening success

45.4%CT opening success

0.61Enemies flashed / flash

4.0%Flash assists

8.59HE damage / grenade

8.82Flashes / 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 33.9825% — 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.

38% win rate across 13 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
nuke	14–16	0.05	23%	2 Aug →
vertigo	13–5	0.05	23%	1 Aug →
vertigo	13–1	0.01	5%	1 Aug →
cache	13–8	-0.03	20%	24 Jul →
anubis	7–13	0.09	14%	24 Jul →
cache	13–8	0.02	22%	22 Jul →
anubis	7–13	0.07	15%	21 Jul →
office	13–3	0.10	18%	13 Jul →
nuke	8–13	0.00	23%	10 Jul →
shelter	13–3	0.00	14%	10 Jul →
ancient	13–9	0.06	15%	10 Jul →
dust2	8–13	0.04	14%	10 Jul →
anubis	9–13	-0.05	16%	3 Jul →
ancient	13–6	0.14	17%	3 Jul →
dust2	3–13	0.04	19%	30 Jun →
dust2	15–15	-0.05	21%	30 Jun →
anubis	13–9	0.02	18%	11 Jun →
nuke	16–13	0.00	32%	10 Jun →
nuke	13–11	0.05	21%	10 Jun →
vertigo	13–3	0.03	7%	7 Jun →
vertigo	13–1	0.00	19%	7 Jun →
anubis	12–12	0.02	19%	27 May →
poseidon	3–9	-0.04	21%	27 May →
dust2	16–14	-0.00	23%	23 May →
cache	8–13	-0.01	12%	20 May →
dust2	13–8	0.03	15%	20 May →
ancient	13–16	0.02	18%	17 May →
anubis	9–13	0.05	12%	17 May →
office	13–9	0.02	21%	13 May →
office	3–13	0.01	14%	13 May →
cache	13–4	0.04	21%	12 May →
vertigo	13–3	0.05	14%	10 May →
cache	7–13	-0.03	20%	10 May →
poseidon	9–6	0.02	26%	10 May →
cache	5–13	0.09	19%	9 May →
cache	8–13	0.06	18%	9 May →
anubis	1–13	-0.06	20%	9 May →
cache	5–13	0.04	16%	6 May →
cache	13–8	0.10	17%	6 May →
cache	13–1	0.14	10%	5 May →
cache	9–13	-0.01	18%	5 May →
cache	13–7	-0.01	25%	30 Apr →
cache	13–9	-0.05	14%	30 Apr →
train	13–3	0.12	18%	26 Apr →
train	13–2	0.16	14%	26 Apr →
nuke	3–13	-0.06	23%	20 Apr →
dust2	3–13	-0.02	17%	20 Apr →
nuke	13–9	0.08	31%	15 Apr →
overpass	7–13	0.03	14%	15 Apr →
ancient	7–13	0.01	18%	15 Apr →
alpine	13–1	0.18	25%	12 Apr →
vertigo	13–9	-0.01	14%	12 Apr →
vertigo	11–13	-0.06	15%	12 Apr →
anubis	13–4	0.02	21%	5 Apr →
anubis	13–8	-0.09	11%	5 Apr →
office	12–12	-0.04	22%	22 Mar →
office	13–5	0.02	21%	18 Mar →
ancient	13–7	0.01	17%	18 Mar →
anubis	9–13	0.02	13%	15 Mar →
overpass	6–13	-0.07	9%	15 Mar →
overpass	13–10	0.02	30%	15 Mar →
alpine	12–12	0.15	19%	6 Mar →
office	6–13	0.01	11%	6 Mar →
warden	11–13	0.03	20%	6 Mar →
vertigo	7–13	0.03	15%	6 Mar →
mirage	13–11	-0.00	10%	2 Mar →
train	7–13	0.04	18%	27 Feb →
train	5–13	0.04	11%	27 Feb →
overpass	11–13	0.01	18%	27 Feb →
dust2	11–13	-0.05	7%	10 Feb →
ancient	3–13	-0.06	20%	10 Feb →
nuke	13–7	0.10	31%	5 Feb →
anubis	9–13	0.09	20%	5 Feb →
nuke	13–8	-0.00	19%	24 Jan →
ancient	9–13	-0.02	15%	24 Jan →
anubis	16–14	-0.05	8%	23 Jan →
anubis	13–3	-0.00	8%	23 Jan →
train	6–13	-0.03	14%	17 Jan →
dust2	13–8	0.03	20%	17 Jan →
overpass	13–10	0.04	9%	14 Jan →
ancient	3–13	-0.03	17%	14 Jan →
nuke	10–13	-0.00	20%	13 Jan →
nuke	13–11	0.00	20%	10 Jan →
nuke	5–13	0.09	14%	10 Jan →
nuke	13–6	0.08	13%	7 Jan →
train	16–13	-0.01	24%	7 Jan →
overpass	9–13	0.01	21%	6 Jan →
nuke	6–13	-0.03	6%	2 Jan →
nuke	10–13	0.02	18%	2 Jan →
overpass	13–1	-0.00	19%	30 Dec →
train	13–7	0.06	13%	28 Dec →
overpass	11–13	0.02	24%	28 Dec →
overpass	13–11	0.03	19%	26 Dec →
nuke	9–13	-0.04	25%	23 Dec →
ancient	13–11	-0.05	19%	23 Dec →
ancient	13–11	0.01	20%	23 Dec →
ancient	13–8	0.01	17%	23 Dec →
train	16–12	0.03	14%	22 Dec →
nuke	13–5	0.13	22%	22 Dec →
overpass	11–13	-0.00	13%	22 Dec →