HUGABEER — CS2 Stats

76561197962677609[U:1:2411881]

4,006Tracked matches28%Win rate2020Tracked since

CSDB Rating4.1 Developing

Premier CS Rating12,853Blue band · top ~39.8% of ranked players (population est.)

CSDB Leaderboard#13328 of 19237 tracked

FaceitLevel 4 · 1,004 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning54

Utility31

0–100 skill scores via Leetify.

Recent form

COLD44–48–8Last 10044%Win rateWLLLLLLLLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.9

Aggression8.0

Utility3.1

Positioning5.4

Opening Duels3.0

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 b1t 84% playstyle similarity

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

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. 554ms 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

Aim5.9

Positioning5.4

Utility3.1

Mechanics4.5

Opening Duels3.0

Win Impact0.0

Composite 4.1/10 (Developing), 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-0.04−0.03

first ⅓ avg -0.01 → last ⅓ avg -0.04

Reaction time549ms−31ms

first ⅓ avg 580ms → last ⅓ avg 549ms

Headshot accuracy21.1%−3.2%

first ⅓ avg 24.2% → last ⅓ avg 21.1%

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

0.09Best rating — nuke 13–1

13–1Biggest win — nuke

7Longest win streak

4–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 53% over 15anubisWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	31	12–19	39%	-0.02
ancient	B	23	11–12	48%	-0.03
cache	C	16	6–10	38%	-0.03
nuke	B	15	8–7	53%	-0.01
anubis	D	8	1–7	13%	-0.06
dust2	—	4	4–0	100%	0.01
mirage	—	3	2–1	67%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches

60%Win rate

0.74Avg K/D

67.7ADR

41%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	50%	0.78	13.5
Mirage	1	0%	0.65	11.0
Anubis	1	100%	0.47	7.0
Ancient	1	100%	1.00	15.0

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.

21.3%Headshot accuracy

27.4%Accuracy (enemy spotted)

31.7%Spray accuracy

70.3%Counter-strafing

8.6°Preaim

554msReaction time

34.7%T opening success

49.4%CT opening success

0.26Enemies flashed / flash

2.9%Flash assists

8.33HE damage / grenade

3.80Flashes / 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.

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 0.2575 — 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 34.7455% — 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.

13% win rate across 8 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
inferno	16–13	-0.03	27%	27 Aug →
inferno	2–13	-0.08	29%	27 Aug →
anubis	9–13	-0.04	17%	27 Aug →
nuke	10–13	0.00	15%	27 Aug →
anubis	9–13	-0.07	40%	26 Aug →
nuke	14–16	-0.02	13%	26 Aug →
cache	6–13	-0.06	24%	26 Aug →
anubis	9–13	-0.11	36%	26 Aug →
ancient	8–13	-0.07	6%	26 Aug →
ancient	8–13	-0.05	24%	26 Aug →
inferno	9–13	-0.08	10%	25 Aug →
cache	15–15	-0.03	16%	25 Aug →
nuke	10–13	-0.02	24%	25 Aug →
nuke	13–5	0.02	31%	25 Aug →
ancient	3–13	-0.08	20%	25 Aug →
inferno	4–13	-0.06	11%	25 Aug →
inferno	13–6	-0.05	32%	24 Aug →
dust2	13–8	-0.00	29%	24 Aug →
mirage	10–13	-0.00	22%	24 Aug →
inferno	8–13	-0.02	26%	24 Aug →
inferno	11–13	-0.03	19%	24 Aug →
ancient	13–7	-0.04	13%	23 Aug →
anubis	5–13	-0.03	17%	23 Aug →
nuke	13–8	-0.04	19%	23 Aug →
cache	11–13	-0.06	16%	23 Aug →
anubis	11–13	-0.07	21%	23 Aug →
nuke	13–10	0.01	19%	23 Aug →
mirage	13–10	-0.05	21%	19 Aug →
ancient	10–13	-0.08	18%	19 Aug →
cache	8–13	-0.08	30%	19 Aug →
cache	13–11	0.02	10%	19 Aug →
inferno	8–13	-0.04	24%	19 Aug →
inferno	15–15	-0.04	17%	19 Aug →
inferno	13–8	0.04	13%	19 Aug →
ancient	9–13	-0.09	9%	19 Aug →
cache	9–13	-0.06	19%	18 Aug →
cache	10–13	-0.08	18%	18 Aug →
inferno	13–10	-0.03	21%	18 Aug →
ancient	13–11	-0.05	16%	18 Aug →
inferno	5–13	0.03	14%	18 Aug →
ancient	13–4	0.05	10%	18 Aug →
cache	13–11	-0.01	14%	18 Aug →
inferno	13–9	0.04	30%	18 Aug →
ancient	13–3	0.01	23%	17 Aug →
nuke	13–7	-0.03	20%	17 Aug →
cache	13–9	-0.06	16%	17 Aug →
ancient	16–12	-0.03	21%	17 Aug →
ancient	15–15	0.02	19%	17 Aug →
inferno	8–13	-0.03	26%	17 Aug →
nuke	13–1	0.09	44%	16 Aug →
ancient	13–4	-0.01	22%	16 Aug →
nuke	13–8	-0.01	15%	16 Aug →
inferno	13–5	0.09	33%	16 Aug →
cache	10–13	-0.03	26%	16 Aug →
inferno	8–13	-0.03	23%	16 Aug →
ancient	13–6	-0.03	20%	5 Aug →
inferno	13–8	-0.03	28%	5 Aug →
anubis	14–16	-0.08	14%	5 Aug →
nuke	8–13	-0.04	23%	5 Aug →
inferno	15–15	-0.02	21%	5 Aug →
dust2	13–9	-0.02	18%	5 Aug →
inferno	16–13	-0.03	29%	4 Aug →
nuke	15–15	-0.04	19%	4 Aug →
cache	11–13	-0.03	23%	4 Aug →
ancient	13–10	-0.05	29%	4 Aug →
cache	13–11	0.03	24%	3 Aug →
ancient	6–13	-0.02	19%	3 Aug →
anubis	9–13	-0.01	20%	3 Aug →
ancient	13–8	-0.01	8%	3 Aug →
nuke	13–4	0.00	50%	3 Aug →
inferno	11–13	-0.05	14%	31 Jul →
ancient	5–13	-0.09	19%	31 Jul →
cache	13–2	0.01	13%	31 Jul →
anubis	13–6	-0.08	23%	31 Jul →
inferno	13–2	-0.01	13%	31 Jul →
nuke	5–13	-0.08	23%	31 Jul →
inferno	9–13	-0.02	20%	30 Jul →
ancient	15–15	-0.04	29%	30 Jul →
inferno	13–8	0.01	24%	30 Jul →
ancient	13–3	0.00	12%	30 Jul →
cache	11–13	-0.04	28%	30 Jul →
dust2	13–7	0.03	24%	30 Jul →
inferno	15–15	0.01	26%	29 Jul →
cache	6–13	-0.00	37%	29 Jul →
inferno	13–9	-0.04	35%	29 Jul →
inferno	15–15	-0.02	35%	29 Jul →
ancient	6–13	-0.04	22%	29 Jul →
inferno	7–13	-0.03	39%	29 Jul →
nuke	13–9	0.08	32%	28 Jul →
inferno	10–13	-0.06	21%	28 Jul →
inferno	13–3	0.09	34%	28 Jul →
mirage	13–8	0.04	44%	27 Jul →
dust2	13–4	0.05	19%	27 Jul →
cache	13–8	-0.01	13%	27 Jul →
inferno	8–13	-0.03	27%	27 Jul →
ancient	7–13	-0.00	18%	27 Jul →
ancient	13–4	0.01	18%	26 Jul →
inferno	9–13	-0.04	24%	26 Jul →
nuke	8–13	-0.03	18%	26 Jul →
ancient	11–13	-0.01	18%	26 Jul →