BunkHouse — CS2 Stats

76561198032085817[U:1:71820089]

359Tracked matches57%Win rate2020Tracked since

1,424Hours in CS2Hrs last 2 wks

CSDB Rating6.1 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim75

Positioning50

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateLLWLLWLWWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.5

Aggression6.0

Utility5.2

Positioning5.0

Opening Duels2.0

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 89% playstyle similarity

Most alike: opening-duel success, 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. 623ms 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

Positioning5.0

Utility5.2

Mechanics7.6

Opening Duels2.0

Win Impact7.4

Composite 6.1/10 (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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time629ms−2ms

first ⅓ avg 631ms → last ⅓ avg 629ms

Headshot accuracy16.4%−0.1%

first ⅓ avg 16.5% → last ⅓ avg 16.4%

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 — ancient 13–4

13–0Biggest win — nuke

5Longest win streak

L2Current streak

8–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 67% over 21ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	21	14–7	67%	0.00
vertigo	B	13	7–6	54%	-0.01
mirage	D	13	4–9	31%	0.01
train	B	13	6–7	46%	0.03
dust2	B	11	5–6	45%	0.01
cache	B	10	5–5	50%	-0.01
ancient	D	10	3–7	30%	0.02
office	—	4	1–3	25%	0.01
overpass	—	2	1–1	50%	-0.01
anubis	—	2	0–2	0%	-0.00
inferno	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,573Lifetime kills

1.29K/D · Top 25% of tracked players

2,841Matches

42.3%Match win rate

46.3%Headshot % · Top 50% of tracked players

20.3%Shot accuracy · Top 5% of tracked players

6,555MVPs

819Hours (in match)

1,830Bombs planted

484Bombs defused

Most-used weapons

AK-4713,437

M4A4 / M4A1-S11,622

AWP4,334

P2000 / USP-S4,019

Glock-182,639

Desert Eagle2,095

Five-SeveN1,435

P2501,263

Tec-91,064

SSG 081,020

Lifetime map wins

5,760dust2

2,056inferno

1,568train

1,101nuke

508vertigo

483cbble

189lake

163office

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

Faceit stats

Combat

121Matches

57%Win rate

1.14Avg K/D

—ADR

45%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

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.

17.2%Headshot accuracy

39.0%Accuracy (enemy spotted)

40.2%Spray accuracy

84.1%Counter-strafing

10.5°Preaim

623msReaction time

38.4%T opening success

37.4%CT opening success

0.56Enemies flashed / flash

5.4%Flash assists

7.95HE damage / grenade

9.90Flashes / 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 38.4072% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	0–13	-0.07	10%	18 Aug →
dust2	9–13	0.04	8%	18 Aug →
cache	13–8	-0.03	16%	12 Aug →
mirage	8–13	-0.00	16%	11 Aug →
dust2	8–13	-0.04	23%	11 Aug →
nuke	3–3	-0.05	11%	11 Aug →
cache	2–13	-0.06	19%	4 Aug →
cache	13–2	-0.03	19%	4 Aug →
nuke	13–3	0.11	17%	4 Aug →
dust2	13–5	0.09	19%	21 Jul →
vertigo	13–1	0.05	9%	21 Jul →
overpass	11–13	-0.03	31%	21 Jul →
mirage	6–13	0.05	26%	21 Jul →
dust2	13–7	-0.07	13%	21 Jul →
nuke	2–13	-0.06	23%	21 Jul →
vertigo	13–9	-0.03	16%	15 Jul →
train	0–13	0.05	11%	14 Jul →
nuke	13–4	-0.09	28%	14 Jul →
vertigo	13–3	0.06	21%	14 Jul →
train	12–12	0.00	16%	30 Jun →
cache	5–13	-0.03	15%	30 Jun →
vertigo	13–6	0.01	10%	9 Jun →
train	13–1	0.16	25%	9 Jun →
nuke	13–0	0.04	11%	9 Jun →
train	13–3	-0.01	8%	2 Jun →
vertigo	13–8	-0.04	13%	2 Jun →
cache	12–12	-0.06	12%	2 Jun →
vertigo	13–10	0.04	19%	19 May →
mirage	8–13	-0.03	13%	19 May →
nuke	9–13	-0.02	28%	19 May →
train	10–13	-0.03	9%	13 May →
cache	13–8	-0.04	16%	13 May →
vertigo	6–13	-0.06	10%	12 May →
cache	13–5	-0.00	27%	12 May →
cache	8–13	-0.00	26%	12 May →
cache	13–8	0.16	32%	29 Apr →
cache	4–13	-0.05	31%	29 Apr →
nuke	12–12	0.07	32%	3 Mar →
vertigo	5–13	-0.09	22%	3 Mar →
office	6–13	-0.04	22%	3 Mar →
dust2	11–13	0.00	22%	25 Feb →
nuke	13–9	-0.02	23%	25 Feb →
vertigo	10–13	-0.00	17%	25 Feb →
office	12–12	0.05	23%	4 Feb →
nuke	13–3	0.07	14%	4 Feb →
anubis	4–13	0.02	18%	4 Feb →
vertigo	8–13	-0.06	21%	4 Feb →
vertigo	13–2	0.10	14%	3 Feb →
office	13–11	0.04	22%	3 Feb →
nuke	6–13	-0.07	17%	3 Feb →
overpass	13–11	0.01	20%	3 Feb →
office	4–13	-0.01	18%	6 Jan →
train	5–13	-0.04	33%	6 Jan →
ancient	7–13	-0.01	25%	2 Sept →
train	10–13	-0.01	33%	2 Sept →
mirage	8–13	-0.04	11%	20 Aug →
train	13–11	0.08	29%	20 Aug →
ancient	9–13	0.03	20%	20 Aug →
nuke	13–6	0.03	22%	19 Aug →
nuke	13–11	0.03	22%	19 Aug →
mirage	8–13	0.05	11%	12 Aug →
ancient	8–13	-0.06	10%	5 Aug →
vertigo	9–13	-0.03	11%	5 Aug →
mirage	13–6	0.01	22%	22 Jul →
nuke	13–4	-0.02	17%	22 Jul →
train	11–13	0.08	16%	22 Jul →
ancient	13–11	-0.01	20%	9 Jul →
nuke	13–8	0.06	17%	9 Jul →
ancient	7–13	-0.05	15%	9 Jul →
dust2	2–13	-0.05	21%	8 Jul →
train	13–5	-0.02	15%	8 Jul →
nuke	13–9	0.03	17%	8 Jul →
ancient	10–13	-0.00	9%	2 Jul →
nuke	13–1	0.07	9%	2 Jul →
mirage	13–11	0.03	19%	2 Jul →
dust2	13–9	0.01	15%	1 Jul →
dust2	13–8	-0.01	16%	1 Jul →
anubis	14–16	-0.03	8%	1 Jul →
mirage	4–13	-0.01	29%	1 Jul →
ancient	6–13	0.02	11%	24 Jun →
inferno	4–13	-0.02	22%	24 Jun →
mirage	8–13	-0.03	23%	23 Jun →
ancient	13–10	0.04	16%	21 Jun →
mirage	13–5	0.04	23%	19 Jun →
nuke	13–7	0.00	15%	19 Jun →
train	13–10	0.02	19%	19 Jun →
nuke	10–13	0.06	8%	16 Jun →
train	10–13	0.04	23%	16 Jun →
nuke	13–11	-0.02	23%	16 Jun →
mirage	13–5	0.00	17%	15 Jun →
dust2	4–13	0.04	19%	15 Jun →
train	13–6	0.05	10%	12 Jun →
mirage	3–13	0.02	17%	11 Jun →
ancient	9–13	0.06	19%	11 Jun →
nuke	9–13	-0.09	9%	11 Jun →
mirage	15–15	0.06	15%	10 Jun →
ancient	13–4	0.18	13%	10 Jun →
dust2	6–13	-0.01	18%	10 Jun →
dust2	13–7	0.08	17%	9 Jun →
nuke	7–13	-0.06	18%	9 Jun →