Huzoll — CS2 Stats

76561199087851285[U:1:1127585557]Steam profile ↗✓ No bans

3,033Tracked matches43%Win rate2020Tracked since

3,806Hours in CS10Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating23,590Top 25% of 44,590 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)

CSDB Leaderboard#11208 of 60455 tracked

FaceitLevel 10 · 1,900 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	56.1%	51.7%
Shot accuracy	11.8%	13.8%
Kill/death ratio	1.24	1.09
Match win rate	44.3%	48.7%

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Performance scores

Aim76

Positioning56

Utility70

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateLLLLLWLWLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.6

Aggression7.3

Utility7.0

Positioning5.6

Opening Duels3.0

Clutch3.8

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 Twistzz 92% playstyle similarity

Most alike: positioning profile, 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. 607ms 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

Aim7.6

Positioning5.6

Utility7.0

Mechanics6.1

Opening Duels3.0

Win Impact2.6

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time606ms−44ms

first ⅓ avg 649ms → last ⅓ avg 606ms

Headshot accuracy18.2%−4.2%

first ⅓ avg 22.4% → last ⅓ avg 18.2%

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

0.26Best rating — inferno 13–5

13–1Biggest win — anubis

6Longest win streak

L5Current streak

7–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 80% over 10anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	20	9–11	45%	0.04
mirage	C	20	8–12	40%	0.01
ancient	B	17	8–9	47%	0.04
dust2	D	10	3–7	30%	-0.00
nuke	S	10	8–2	80%	0.05
anubis	D	9	2–7	22%	0.03
cache	S	6	4–2	67%	0.06
overpass	—	4	1–3	25%	0.01
vertigo	—	3	2–1	67%	0.05
boulder	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,752Lifetime kills

1.24K/D · Top 25% of Level 10 players

4,650Matches

44.3%Match win rate

56.1%Headshot % · Top 50% of Level 10 players

11.8%Shot accuracy

14,250MVPs

2,649Hours (in match)

3,450Bombs planted

1,707Bombs defused

Most-used weapons

AK-4750,614

M4A4 / M4A1-S17,060

AWP12,201

Desert Eagle8,891

P2000 / USP-S7,055

Glock-184,362

FAMAS3,321

Galil AR2,851

Knife2,249

SG 5531,933

Lifetime map wins

8,193inferno

4,063dust2

3,632nuke

2,389vertigo

1,374train

515office

480cbble

115lake

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

Faceit stats

Combat

1,024Matches

50%Win rate

1.14Avg K/D

80.8ADR

42%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	181	50%	1.05	15.3
Ancient	151	52%	1.11	15.8
Anubis	149	50%	1.11	15.7
Inferno	97	42%	1.04	15.1
Dust2	61	38%	1.03	16.3
Nuke	37	54%	1.12	16.9
Train	20	45%	1.09	13.7
Vertigo	20	70%	1.24	17.1

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.

18.2%Headshot accuracy

36.9%Accuracy (enemy spotted)

39.0%Spray accuracy

77.5%Counter-strafing

8.0°Preaim

607msReaction time

36.5%T opening success

47.4%CT opening success

0.67Enemies flashed / flash

4.8%Flash assists

12.53HE damage / grenade

12.72Flashes / 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 36.474% — 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.

22% win rate across 9 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
ancient	2–13	-0.06	7%	30 Aug →
dust2	11–13	-0.04	16%	29 Aug →
inferno	11–13	0.04	12%	29 Aug →
dust2	3–13	0.01	17%	29 Aug →
mirage	11–13	0.02	31%	29 Aug →
mirage	13–7	0.02	32%	29 Aug →
overpass	3–9	-0.10	18%	29 Aug →
inferno	9–6	0.16	30%	29 Aug →
nuke	4–9	-0.08	9%	29 Aug →
mirage	7–13	-0.00	16%	28 Aug →
anubis	13–5	0.09	25%	28 Aug →
cache	13–7	0.04	17%	28 Aug →
ancient	4–13	-0.08	17%	25 Aug →
vertigo	13–3	0.03	7%	15 Aug →
ancient	5–13	0.02	23%	10 Aug →
inferno	16–14	0.05	17%	10 Aug →
ancient	10–13	-0.01	17%	9 Aug →
mirage	13–6	0.04	15%	9 Aug →
anubis	4–13	0.01	18%	9 Aug →
inferno	9–13	-0.04	15%	7 Aug →
nuke	19–16	0.01	12%	7 Aug →
vertigo	13–11	0.08	16%	7 Aug →
mirage	13–9	0.04	21%	6 Aug →
anubis	11–13	-0.02	17%	6 Aug →
mirage	7–13	0.07	15%	6 Aug →
inferno	13–9	0.05	22%	6 Aug →
mirage	3–13	-0.00	11%	5 Aug →
inferno	5–13	-0.00	30%	5 Aug →
anubis	12–12	0.01	24%	4 Aug →
nuke	9–5	0.23	19%	3 Aug →
overpass	9–4	0.25	21%	3 Aug →
ancient	7–13	0.01	20%	3 Aug →
mirage	12–12	-0.01	18%	3 Aug →
anubis	13–1	0.11	16%	2 Aug →
inferno	13–5	0.26	24%	2 Aug →
ancient	13–1	0.04	20%	2 Aug →
mirage	13–5	0.08	29%	2 Aug →
nuke	13–9	0.06	22%	2 Aug →
cache	13–4	0.11	22%	2 Aug →
cache	8–13	0.14	38%	31 Jul →
dust2	13–11	-0.01	14%	30 Jul →
anubis	11–13	0.01	10%	29 Jul →
ancient	13–2	0.11	24%	29 Jul →
inferno	13–3	-0.03	16%	29 Jul →
nuke	13–7	-0.00	7%	29 Jul →
nuke	13–8	0.19	23%	27 Jul →
inferno	9–13	-0.02	13%	25 Jul →
ancient	10–13	0.07	19%	24 Jul →
inferno	0–13	-0.08	0%	24 Jul →
mirage	13–5	-0.07	23%	24 Jul →
inferno	11–13	0.03	23%	24 Jul →
ancient	12–12	0.09	27%	24 Jul →
cache	13–9	0.01	19%	22 Jul →
ancient	4–13	0.07	21%	19 Jul →
nuke	13–6	0.05	25%	19 Jul →
mirage	9–13	-0.03	13%	19 Jul →
ancient	13–7	0.01	27%	18 Jul →
ancient	13–1	-0.03	19%	18 Jul →
ancient	13–8	0.07	17%	18 Jul →
ancient	13–8	0.15	26%	17 Jul →
mirage	13–7	-0.02	21%	17 Jul →
mirage	8–13	0.02	29%	17 Jul →
inferno	6–13	-0.01	15%	17 Jul →
ancient	5–13	0.08	15%	13 Jul →
nuke	13–11	0.03	23%	12 Jul →
inferno	7–13	0.06	27%	12 Jul →
boulder	8–13	-0.03	16%	11 Jul →
inferno	15–15	0.07	20%	11 Jul →
cache	13–11	0.03	14%	11 Jul →
mirage	13–6	0.02	21%	11 Jul →
dust2	14–16	0.01	17%	11 Jul →
ancient	13–5	0.08	19%	11 Jul →
anubis	10–13	-0.04	13%	10 Jul →
cache	9–13	0.01	25%	10 Jul →
mirage	7–13	-0.05	18%	10 Jul →
dust2	13–9	-0.02	23%	10 Jul →
vertigo	3–13	0.03	21%	10 Jul →
inferno	13–7	-0.01	22%	10 Jul →
dust2	3–13	-0.02	24%	8 Jul →
anubis	10–13	0.08	30%	3 Jul →
overpass	3–13	-0.06	22%	3 Jul →
inferno	13–10	-0.02	26%	3 Jul →
ancient	13–11	0.01	14%	3 Jul →
overpass	8–13	-0.07	16%	3 Jul →
dust2	14–16	-0.05	23%	3 Jul →
inferno	13–5	-0.01	15%	3 Jul →
inferno	13–11	-0.02	28%	3 Jul →
anubis	6–13	0.05	43%	23 Jun →
mirage	13–4	0.13	19%	23 Jun →
dust2	12–12	0.03	22%	23 Jun →
inferno	12–12	0.13	44%	23 Jun →
inferno	6–13	0.10	28%	22 Jun →
mirage	10–13	0.05	21%	22 Jun →
dust2	13–9	0.10	33%	22 Jun →
mirage	5–13	0.11	10%	22 Jun →
dust2	1–13	-0.05	15%	21 Jun →
mirage	2–13	-0.11	22%	19 Jun →
nuke	13–3	0.03	33%	19 Jun →
mirage	7–13	0.00	22%	19 Jun →
nuke	10–13	-0.02	15%	18 Jun →