Hustlang Long — CS2 Stats

76561198259150980[U:1:298885252]✓ No bans

530Tracked matches41%Win rate2023Tracked since

CSDB Rating5.5 SolidAggressive Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning55

Utility17

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLLWWWWLWL

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.

Aim7.2

Aggression7.3

Utility1.7

Positioning5.5

Opening Duels3.7

Clutch4.0

Excellent counter-strafingStrong CT-side openerLimited utility dependence

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 ropz 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 711ms 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

Positioning5.5

Utility1.7

Mechanics9.6

Opening Duels3.7

Win Impact2.1

Composite 5.5/10 (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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time705ms+23ms

first ⅓ avg 682ms → last ⅓ avg 705ms

Headshot accuracy17.2%+0.7%

first ⅓ avg 16.5% → last ⅓ avg 17.2%

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

0.13Best rating — dust2 10–13

13–1Biggest win — ancient

8Longest win streak

3–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 71% over 14infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	10–12	45%	0.00
mirage	C	19	8–11	42%	-0.01
nuke	A	18	10–8	56%	0.01
ancient	S	14	10–4	71%	-0.00
inferno	D	12	4–8	33%	-0.01
anubis	C	7	3–4	43%	0.03
train	A	5	3–2	60%	-0.00
vertigo	—	3	2–1	67%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches

40%Win rate

0.92Avg K/D

68.9ADR

52%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	33%	0.87	13.3
Nuke	3	33%	0.93	14.7
Mirage	3	33%	0.74	13.0
Inferno	2	50%	1.32	12.5
Vertigo	2	50%	1.00	13.5
Anubis	1	100%	0.56	10.0
Ancient	1	0%	1.05	23.0

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.

16.9%Headshot accuracy

37.6%Accuracy (enemy spotted)

36.9%Spray accuracy

93.0%Counter-strafing

9.5°Preaim

711msReaction time

37.3%T opening success

52.5%CT opening success

0.47Enemies flashed / flash

5.0%Flash assists

10.30HE damage / grenade

4.26Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 711.0662ms — above the 700ms mark we flag
Aim Training →
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 0.4725 — 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 37.3317% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–3	-0.03	21%	24 Dec →
nuke	11–13	0.02	26%	23 Dec →
dust2	5–13	-0.05	18%	11 Oct →
mirage	10–3	-0.07	10%	4 Oct →
nuke	13–9	-0.07	21%	3 Oct →
ancient	13–1	0.00	30%	1 Oct →
inferno	13–4	-0.04	9%	1 Oct →
ancient	13–16	-0.01	14%	30 Sept →
dust2	13–9	0.03	23%	22 Feb →
anubis	3–13	-0.06	13%	20 Feb →
inferno	11–13	-0.02	15%	20 Feb →
inferno	9–13	-0.00	17%	20 Feb →
dust2	7–13	0.03	20%	20 Feb →
inferno	7–13	-0.06	24%	20 Feb →
mirage	14–16	-0.01	16%	20 Feb →
dust2	4–13	-0.03	20%	19 Feb →
nuke	13–8	0.04	13%	19 Feb →
nuke	13–10	0.04	14%	19 Feb →
nuke	13–8	-0.04	10%	19 Feb →
mirage	8–13	-0.06	13%	19 Feb →
ancient	13–7	-0.02	21%	18 Feb →
dust2	10–13	-0.06	11%	18 Feb →
anubis	6–13	0.07	21%	17 Feb →
ancient	13–9	-0.03	17%	16 Feb →
train	11–2	0.01	11%	16 Feb →
ancient	6–13	-0.06	20%	16 Feb →
mirage	9–13	-0.02	11%	15 Feb →
nuke	15–15	0.00	13%	14 Feb →
nuke	5–13	-0.02	6%	14 Feb →
ancient	10–13	-0.02	29%	13 Feb →
train	7–13	0.01	17%	13 Feb →
dust2	14–16	0.01	21%	13 Feb →
dust2	11–13	0.03	21%	12 Feb →
mirage	13–9	0.06	8%	12 Feb →
train	13–6	0.03	20%	10 Feb →
nuke	13–4	-0.04	11%	10 Feb →
train	13–9	-0.03	21%	10 Feb →
dust2	12–5	-0.01	28%	9 Feb →
nuke	13–9	0.06	11%	9 Feb →
dust2	13–6	0.02	21%	8 Feb →
inferno	13–9	0.03	26%	8 Feb →
anubis	6–13	0.07	13%	8 Feb →
inferno	13–2	0.09	18%	7 Feb →
dust2	13–8	-0.00	12%	7 Feb →
ancient	13–10	-0.00	15%	6 Feb →
dust2	13–6	0.01	45%	6 Feb →
dust2	13–3	0.05	11%	6 Feb →
nuke	13–2	0.01	19%	6 Feb →
anubis	13–10	0.05	17%	5 Feb →
nuke	6–13	0.04	16%	5 Feb →
ancient	13–10	-0.01	14%	4 Feb →
nuke	13–10	0.08	14%	4 Feb →
ancient	13–6	0.03	20%	3 Feb →
nuke	8–13	-0.03	16%	3 Feb →
inferno	4–13	-0.02	25%	3 Feb →
ancient	13–3	0.02	19%	3 Feb →
mirage	10–13	-0.00	13%	3 Feb →
mirage	13–9	0.07	17%	2 Feb →
dust2	10–13	0.13	33%	2 Feb →
ancient	13–9	0.09	19%	2 Feb →
mirage	13–8	0.01	11%	2 Feb →
nuke	6–13	0.04	19%	1 Feb →
mirage	0–13	-0.04	9%	1 Feb →
mirage	13–11	0.04	15%	1 Feb →
mirage	7–13	0.01	13%	31 Jan →
mirage	13–8	-0.01	35%	31 Jan →
dust2	13–4	0.06	22%	30 Jan →
dust2	3–13	0.03	30%	30 Jan →
nuke	7–13	0.02	10%	30 Jan →
dust2	4–13	-0.09	9%	30 Jan →
ancient	13–9	0.01	13%	30 Jan →
mirage	13–11	0.02	6%	30 Jan →
dust2	13–9	0.01	14%	30 Jan →
mirage	6–13	-0.03	11%	29 Jan →
dust2	13–6	-0.02	14%	29 Jan →
inferno	7–13	0.02	25%	29 Jan →
mirage	8–13	-0.07	8%	29 Jan →
inferno	5–13	-0.02	16%	29 Jan →
inferno	3–12	-0.05	19%	29 Jan →
train	7–13	-0.03	55%	28 Jan →
mirage	7–13	-0.05	14%	27 Jan →
anubis	13–4	0.05	34%	27 Jan →
vertigo	13–7	-0.06	6%	27 Jan →
vertigo	13–5	-0.01	5%	27 Jan →
dust2	10–13	-0.06	18%	27 Jan →
inferno	13–5	0.01	14%	27 Jan →
inferno	5–13	-0.06	23%	26 Jan →
anubis	16–12	-0.01	19%	25 Jan →
anubis	15–15	0.01	17%	25 Jan →
mirage	9–13	-0.00	17%	25 Jan →
dust2	15–15	-0.05	23%	25 Jan →
nuke	13–5	0.06	17%	25 Jan →
nuke	8–13	-0.01	12%	25 Jan →
mirage	13–11	0.01	11%	24 Jan →
ancient	1–13	-0.02	2%	24 Jan →
dust2	7–13	0.02	17%	24 Jan →
vertigo	4–13	-0.02	27%	24 Jan →
mirage	9–13	-0.04	17%	24 Jan →
dust2	13–6	0.01	11%	24 Jan →
ancient	13–9	-0.03	11%	24 Jan →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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