Big Boi HUHngee — CS2 Stats

76561198208737480[U:1:248471752]✓ No bans

499Tracked matches17%Win rate2020Tracked since

CSDB Rating2.9 Learning

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim32

Positioning24

Utility36

0–100 skill scores via Leetify.

Recent form

COLD35–58–7Last 10035%Win rateLLLLLLLLLL

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

Player DNA

Aim3.2

Aggression0.0

Utility3.6

Positioning2.4

Opening Duels0.0

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 58% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Reaction time. 695ms 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

Aim3.2

Positioning2.4

Utility3.6

Mechanics6.3

Opening Duels0.0

Win Impact0.0

Composite 2.9/10 (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-0.06+0.00

first ⅓ avg -0.07 → last ⅓ avg -0.06

Reaction time683ms−39ms

first ⅓ avg 722ms → last ⅓ avg 683ms

Headshot accuracy16.3%+2.1%

first ⅓ avg 14.2% → last ⅓ avg 16.3%

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

0.01Best rating — train 13–4

13–2Biggest win — inferno

3Longest win streak

L15Current streak

6–6In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 57% over 7cacheWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	23	10–13	43%	-0.06
vertigo	C	15	6–9	40%	-0.06
anubis	D	10	1–9	10%	-0.07
mirage	D	9	3–6	33%	-0.07
office	C	7	3–4	43%	-0.08
overpass	A	7	4–3	57%	-0.05
cache	D	6	0–6	0%	-0.06
nuke	C	5	2–3	40%	-0.06
train	D	5	1–4	20%	-0.05
ancient	—	4	1–3	25%	-0.08
dust2	—	3	1–2	33%	-0.06
warden	—	2	2–0	100%	-0.06
fachwerk	—	1	0–1	0%	-0.11
alpine	—	1	0–1	0%	-0.06
stronghold	—	1	1–0	100%	-0.05
italy	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Faceit stats

Combat

12Matches

33%Win rate

0.59Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLWL

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.

16.0%Headshot accuracy

29.6%Accuracy (enemy spotted)

30.1%Spray accuracy

78.5%Counter-strafing

13.1°Preaim

695msReaction time

16.4%T opening success

6.3%CT opening success

0.53Enemies flashed / flash

1.4%Flash assists

9.09HE damage / grenade

2.27Flashes / 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 13.1389° — above the 12° mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.2668 — below the 4 mark we flag
Grenade Lineups →

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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	4–13	-0.07	14%	30 Aug →
cache	4–13	-0.07	22%	29 Aug →
inferno	10–13	-0.06	17%	29 Aug →
inferno	6–13	-0.09	13%	16 Aug →
anubis	9–13	-0.04	11%	16 Aug →
nuke	4–13	-0.06	14%	16 Aug →
office	1–13	-0.13	9%	9 Aug →
inferno	10–13	-0.05	20%	9 Aug →
anubis	8–13	-0.04	25%	9 Aug →
vertigo	10–13	-0.11	23%	9 Aug →
vertigo	3–13	-0.12	19%	21 Jul →
fachwerk	6–13	-0.11	0%	9 Jul →
cache	4–13	-0.07	33%	5 Jul →
overpass	10–13	-0.02	13%	5 Jul →
mirage	7–13	-0.09	13%	5 Jul →
inferno	13–11	-0.13	10%	17 May →
ancient	13–4	-0.11	10%	17 May →
cache	7–13	-0.06	13%	17 May →
cache	4–13	-0.09	12%	2 May →
cache	5–13	-0.03	19%	2 May →
dust2	8–13	-0.04	15%	26 Apr →
office	9–13	-0.08	16%	19 Apr →
inferno	13–7	-0.04	13%	19 Apr →
vertigo	13–11	-0.03	13%	12 Apr →
anubis	13–7	-0.02	27%	11 Apr →
vertigo	8–13	-0.04	12%	27 Mar →
vertigo	6–13	0.01	17%	26 Mar →
inferno	5–13	-0.07	23%	26 Mar →
inferno	7–13	-0.03	17%	26 Mar →
mirage	10–13	-0.04	13%	26 Mar →
alpine	12–12	-0.06	16%	26 Mar →
inferno	13–9	-0.04	29%	17 Mar →
vertigo	13–6	-0.02	21%	17 Mar →
anubis	9–13	-0.06	16%	17 Mar →
overpass	13–11	-0.06	11%	15 Mar →
nuke	13–6	-0.03	26%	15 Mar →
anubis	1–4	-0.11	29%	15 Mar →
inferno	11–13	-0.02	24%	15 Mar →
vertigo	10–13	-0.07	10%	11 Mar →
office	13–9	0.01	15%	11 Mar →
office	13–9	-0.08	33%	4 Mar →
inferno	13–4	-0.06	23%	4 Mar →
mirage	3–13	-0.10	17%	4 Mar →
mirage	6–13	-0.12	8%	28 Feb →
inferno	12–12	-0.08	12%	28 Feb →
vertigo	5–13	-0.07	26%	16 Feb →
dust2	13–9	-0.06	13%	1 Feb →
vertigo	10–12	-0.08	14%	1 Feb →
anubis	5–13	-0.07	13%	1 Feb →
warden	13–8	-0.06	13%	1 Feb →
inferno	13–5	-0.04	15%	1 Feb →
office	6–13	-0.08	6%	24 Jan →
inferno	10–13	-0.07	8%	24 Jan →
stronghold	13–7	-0.05	13%	22 Jan →
warden	13–8	-0.07	18%	22 Jan →
anubis	6–13	-0.08	20%	21 Jan →
mirage	7–13	-0.09	7%	21 Jan →
inferno	13–10	-0.00	25%	18 Jan →
anubis	11–13	-0.10	19%	18 Jan →
overpass	12–12	-0.05	11%	18 Jan →
inferno	13–2	-0.01	18%	18 Jan →
mirage	13–10	-0.07	18%	18 Jan →
anubis	7–13	-0.10	8%	18 Jan →
overpass	13–6	-0.05	10%	18 Jan →
inferno	13–11	-0.03	8%	17 Jan →
nuke	12–12	-0.07	13%	17 Jan →
ancient	11–13	-0.06	12%	17 Jan →
mirage	13–8	-0.04	19%	17 Jan →
train	13–4	0.01	20%	17 Jan →
vertigo	2–13	-0.09	16%	17 Jan →
inferno	10–13	-0.06	14%	27 Dec →
overpass	13–10	-0.00	15%	27 Dec →
ancient	9–13	-0.09	13%	27 Dec →
nuke	12–12	-0.07	16%	27 Dec →
train	12–12	-0.05	14%	27 Dec →
inferno	2–13	-0.09	6%	27 Dec →
vertigo	13–9	-0.03	23%	27 Dec →
mirage	13–9	0.01	16%	27 Dec →
mirage	11–13	-0.07	11%	21 Dec →
vertigo	13–7	-0.08	10%	21 Dec →
inferno	12–12	-0.04	10%	21 Dec →
vertigo	13–9	-0.06	10%	21 Dec →
overpass	5–2	-0.09	30%	14 Dec →
inferno	2–13	-0.08	10%	6 Dec →
anubis	0–13	-0.11	17%	6 Dec →
overpass	10–13	-0.08	8%	6 Dec →
office	13–7	-0.11	10%	6 Dec →
italy	8–13	-0.08	17%	6 Dec →
vertigo	8–13	-0.09	5%	6 Dec →
ancient	6–13	-0.08	10%	6 Dec →
dust2	7–13	-0.08	18%	6 Dec →
inferno	9–13	-0.11	9%	6 Dec →
nuke	13–11	-0.07	9%	6 Dec →
train	2–13	-0.07	14%	6 Dec →
vertigo	6–13	-0.04	19%	30 Nov →
train	11–13	-0.10	19%	30 Nov →
inferno	13–5	-0.11	12%	30 Nov →
train	11–13	-0.06	12%	15 Nov →
inferno	13–7	-0.01	24%	11 Nov →
office	8–13	-0.11	12%	11 Nov →