BunkyRocky — CS2 Stats

DK76561198001191086[U:1:40925358]Steam profile ↗✓ No bans

851Tracked matches53%Win rate2020Tracked since

CSDB Rating5.5 SolidSupport

CSDB Leaderboard#75648 of 258284 tracked

FaceitLevel 10 · 1,695 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,528 -501 12 May – 25 Jun · 3 days played

21,029Peak Premier in tracked matches

1,695Highest Faceit ELO seen on CSDB

24Days played since 2026-04-29

Faceit ELO

At peak — 1,695
Next: Level 9 at 1,751 — 56 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim72

Positioning46

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLLLWLLWWWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +0.3pp headshot accuracy · −77ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 552ms

Last 10

4–6 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 548ms

Last 20

10–10 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 586ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim7.2

Utility5.8

Positioning4.6

Opening Duels2.1

Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 604ms 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

Aim7.2

Positioning4.6

Utility5.8

Mechanics7.1

Opening Duels1.9

Win Impact6.1

Composite 5.5/10 (Solid), 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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time603ms−8ms

first ⅓ avg 611ms → last ⅓ avg 603ms

Headshot accuracy16.6%−2.2%

first ⅓ avg 18.8% → last ⅓ avg 16.6%

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.

Personal bests

0.14Best match rating · 13–2 · nuke, 11 May →

33%Best headshot accuracy · 13–10 · cache, 1 Sept →

430msFastest reaction time · 6–13 · inferno, 29 Apr →

13–1Biggest win · inferno, 29 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L3Current streak

11–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 64% over 14anubisWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	25	11–14	44%	-0.01
dust2	A	18	10–8	56%	0.01
cache	B	15	8–7	53%	-0.00
nuke	A	14	9–5	64%	0.01
anubis	C	12	5–7	42%	0.01
mirage	B	11	5–6	45%	-0.02
overpass	—	3	3–0	100%	0.01
ancient	—	2	0–2	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

990Matches

52%Win rate

1.24Avg K/D

83.2ADR

38%Headshot %

Clutches & streaks

36%1v1 clutch win

26%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	43	60%	1.23	17.1
Dust2	33	61%	1.32	19.2
Mirage	22	36%	1.03	14.9
Cache	20	50%	1.18	15.5
Nuke	18	67%	1.39	18.0
Anubis	17	47%	1.05	17.4
Overpass	8	62%	1.30	17.5
Ancient	2	50%	1.10	14.0

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.

16.7%Headshot accuracy

36.7%Accuracy (enemy spotted)

37.8%Spray accuracy

82.1%Counter-strafing

9.6°Preaim

604msReaction time

32.1%T opening success

42.9%CT opening success

0.60Enemies flashed / flash

7.6%Flash assists

10.19HE damage / grenade

6.25Flashes / 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 32.0514% — 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.

42% win rate across 12 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
mirage	5–13	-0.05	6%	28 Oct →
inferno	10–13	0.00	17%	28 Oct →
ancient	9–13	-0.01	13%	27 Oct →
mirage	13–9	-0.01	16%	27 Oct →
anubis	10–13	-0.02	15%	13 Oct →
nuke	9–13	-0.06	11%	13 Oct →
cache	13–6	0.01	5%	13 Oct →
cache	13–10	0.04	33%	1 Sept →
nuke	13–11	-0.02	21%	1 Sept →
dust2	5–13	-0.10	20%	1 Sept →
inferno	16–14	0.02	24%	4 Aug →
nuke	13–7	0.00	21%	4 Aug →
inferno	3–13	-0.10	17%	4 Aug →
ancient	5–13	-0.03	10%	7 Jul →
mirage	13–5	-0.02	18%	7 Jul →
cache	13–7	0.05	12%	7 Jul →
anubis	5–13	-0.08	15%	7 Jul →
mirage	13–11	-0.08	2%	25 Jun →
mirage	12–16	-0.04	18%	25 Jun →
inferno	6–0	0.09	17%	25 Jun →
dust2	13–9	0.03	20%	25 Jun →
mirage	13–2	0.05	11%	23 Jun →
inferno	8–13	-0.06	14%	16 Jun →
dust2	7–13	-0.03	22%	16 Jun →
cache	11–13	0.03	21%	13 Jun →
inferno	13–11	-0.03	13%	13 Jun →
dust2	19–15	0.08	20%	13 Jun →
overpass	13–9	0.01	16%	13 Jun →
cache	13–3	0.09	19%	13 Jun →
mirage	4–13	-0.03	27%	13 Jun →
nuke	6–13	-0.04	22%	13 Jun →
inferno	16–14	0.00	15%	27 May →
nuke	13–10	-0.02	18%	27 May →
mirage	4–13	0.01	17%	27 May →
cache	13–8	-0.08	11%	27 May →
nuke	13–16	-0.03	13%	21 May →
dust2	8–13	-0.03	22%	21 May →
anubis	8–13	0.08	16%	21 May →
nuke	17–19	0.01	12%	21 May →
mirage	7–13	-0.06	22%	20 May →
inferno	13–8	-0.06	7%	20 May →
cache	8–13	-0.03	20%	17 May →
dust2	9–13	-0.04	11%	17 May →
inferno	13–11	-0.00	18%	17 May →
nuke	16–12	0.02	11%	17 May →
anubis	13–8	-0.02	3%	17 May →
cache	13–11	-0.02	18%	17 May →
inferno	9–13	0.04	12%	17 May →
dust2	10–13	-0.00	27%	13 May →
inferno	11–13	0.01	29%	13 May →
nuke	13–6	-0.01	11%	13 May →
dust2	13–11	0.00	15%	13 May →
cache	11–13	-0.04	16%	13 May →
inferno	13–2	0.01	29%	12 May →
dust2	10–13	0.06	26%	12 May →
dust2	13–3	-0.00	24%	12 May →
nuke	6–13	0.01	24%	12 May →
overpass	16–14	-0.04	15%	11 May →
nuke	13–5	0.05	9%	11 May →
mirage	13–6	0.04	10%	11 May →
nuke	13–2	0.14	16%	11 May →
dust2	11–13	0.08	12%	11 May →
inferno	10–13	-0.05	14%	11 May →
dust2	13–4	0.01	25%	10 May →
nuke	13–2	0.08	25%	10 May →
inferno	13–9	0.03	32%	10 May →
inferno	13–10	0.05	12%	10 May →
anubis	21–25	-0.01	22%	10 May →
cache	7–13	-0.01	22%	10 May →
dust2	13–6	0.00	20%	10 May →
anubis	13–11	-0.00	14%	9 May →
cache	6–13	-0.01	7%	9 May →
nuke	13–7	0.07	15%	9 May →
inferno	7–13	0.05	25%	9 May →
inferno	2–13	-0.09	19%	9 May →
anubis	11–13	-0.03	9%	9 May →
dust2	7–13	0.05	26%	9 May →
overpass	13–10	0.06	11%	9 May →
anubis	4–13	-0.02	17%	7 May →
inferno	7–13	0.02	18%	7 May →
cache	13–7	-0.02	17%	7 May →
dust2	13–11	-0.02	29%	7 May →
inferno	5–13	-0.07	16%	7 May →
dust2	19–15	0.04	21%	6 May →
inferno	13–10	0.02	19%	6 May →
inferno	4–13	-0.01	18%	3 May →
cache	7–13	-0.04	16%	3 May →
anubis	13–8	0.02	8%	3 May →
dust2	13–10	0.07	31%	3 May →
inferno	7–13	-0.03	22%	3 May →
inferno	13–16	0.04	16%	30 Apr →
anubis	3–13	0.02	27%	30 Apr →
mirage	5–13	-0.04	23%	30 Apr →
cache	13–5	-0.01	21%	30 Apr →
anubis	19–16	0.08	20%	30 Apr →
dust2	13–6	0.05	17%	29 Apr →
anubis	13–6	0.07	10%	29 Apr →
inferno	13–1	0.01	16%	29 Apr →
inferno	6–13	-0.05	24%	29 Apr →
cache	11–13	0.01	24%	29 Apr →