huskyyy — CS2 Stats

76561198162076358[U:1:201810630]Steam profile ↗✓ No bans

2,361Tracked matches55%Win rate2020Tracked since

CSDB Rating6.4 SolidAggressive Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning57

Utility54

0–100 skill scores via Leetify.

Recent form

HOT54–41–5Last 10054%Win rateWWWWWLLLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim8.0

Aggression6.7

Utility5.4

Positioning5.7

Opening Duels2.6

Clutch5.8

Strong CT-side opener

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, opening-duel success.

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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim8.0

Positioning5.7

Utility5.4

Mechanics7.4

Opening Duels2.6

Win Impact6.7

Composite 6.4/10 (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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time604ms−2ms

first ⅓ avg 607ms → last ⅓ avg 604ms

Headshot accuracy23.4%−0.6%

first ⅓ avg 24.0% → last ⅓ avg 23.4%

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 — overpass 8–1

13–0Biggest win — nuke

9Longest win streak

W5Current streak

7–2In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 75% over 8mirageWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	18	9–9	50%	0.02
ancient	S	17	12–5	71%	0.01
inferno	B	16	8–8	50%	0.03
mirage	B	11	5–6	45%	0.03
nuke	S	8	6–2	75%	0.01
overpass	B	6	3–3	50%	0.05
anubis	S	6	4–2	67%	0.03
train	S	6	4–2	67%	0.02
italy	—	4	2–2	50%	0.05
agency	—	2	0–2	0%	-0.01
office	—	2	0–2	0%	-0.00
cache	—	1	0–1	0%	-0.04
jura	—	1	0–1	0%	0.04
edin	—	1	0–1	0%	-0.02
basalt	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,658Matches

52%Win rate

1.15Avg K/D

81.2ADR

42%Headshot %

Clutches & streaks

49%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	129	57%	1.23	16.4
Ancient	122	48%	1.16	18.1
Inferno	76	61%	1.17	16.2
Nuke	56	59%	1.26	17.3
Dust2	53	43%	1.01	14.9
Mirage	21	33%	0.85	13.6
Vertigo	14	36%	1.09	17.8
Overpass	3	67%	1.26	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.

23.1%Headshot accuracy

33.5%Accuracy (enemy spotted)

39.1%Spray accuracy

83.1%Counter-strafing

8.5°Preaim

592msReaction time

31.3%T opening success

49.5%CT opening success

0.55Enemies flashed / flash

8.9%Flash assists

7.71HE damage / grenade

17.71Flashes / 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 31.2592% — below the 40% mark we flag

Spend your practice time on Mirage

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–1	0.05	29%	14 Aug →
ancient	13–11	-0.01	22%	14 Aug →
nuke	16–13	0.01	18%	14 Aug →
inferno	13–2	0.08	25%	13 Aug →
ancient	16–12	0.10	26%	13 Aug →
dust2	11–13	-0.05	20%	13 Aug →
cache	6–13	-0.04	11%	13 Aug →
inferno	9–13	0.03	20%	10 Aug →
ancient	16–12	0.09	21%	10 Aug →
overpass	13–9	0.08	31%	12 May →
dust2	13–9	0.05	17%	12 Apr →
inferno	8–13	0.03	23%	12 Apr →
inferno	13–4	0.07	23%	10 Apr →
inferno	13–6	-0.06	24%	10 Apr →
nuke	6–13	0.05	20%	16 Aug →
mirage	14–16	0.05	23%	16 Aug →
dust2	13–4	0.06	32%	16 Aug →
agency	8–13	-0.02	21%	10 Aug →
jura	12–12	0.04	17%	10 Aug →
mirage	10–13	-0.03	24%	9 Aug →
dust2	2–13	-0.06	39%	9 Aug →
anubis	13–8	0.05	24%	9 Aug →
train	9–3	-0.01	25%	9 Aug →
inferno	13–11	-0.02	23%	9 Aug →
ancient	9–13	-0.02	28%	9 Aug →
ancient	10–13	-0.04	33%	9 Aug →
overpass	0–13	-0.03	31%	9 Aug →
ancient	13–1	-0.00	15%	9 Aug →
dust2	9–13	-0.00	15%	9 Aug →
mirage	13–8	0.06	25%	9 Aug →
nuke	13–6	-0.01	30%	9 Aug →
inferno	12–16	0.09	18%	8 Aug →
overpass	10–13	-0.01	20%	8 Aug →
mirage	9–13	0.00	19%	8 Aug →
dust2	13–11	0.04	17%	8 Aug →
dust2	3–13	-0.02	33%	8 Aug →
overpass	13–7	0.06	38%	19 Jul →
mirage	8–13	-0.01	25%	19 Jul →
ancient	6–13	-0.04	18%	19 Jul →
overpass	6–13	0.03	20%	19 Jul →
dust2	13–11	0.01	25%	19 Jul →
mirage	13–5	0.04	19%	19 Jul →
ancient	7–13	-0.03	7%	19 Jul →
nuke	5–13	-0.10	43%	19 Jul →
nuke	13–0	0.08	25%	19 Jul →
italy	13–10	0.14	33%	18 Jul →
dust2	8–13	0.01	41%	18 Jul →
mirage	13–9	0.09	15%	18 Jul →
mirage	5–13	-0.01	33%	18 Jul →
inferno	6–13	-0.02	14%	17 Jul →
dust2	13–11	0.10	25%	17 Jul →
ancient	13–11	0.02	16%	17 Jul →
inferno	13–5	0.02	32%	17 Jul →
dust2	13–6	0.05	37%	17 Jul →
train	13–8	0.06	26%	17 Jul →
overpass	8–1	0.18	29%	17 Jul →
nuke	13–7	0.02	41%	17 Jul →
train	13–6	0.08	26%	17 Jul →
dust2	13–2	0.05	41%	16 Jul →
mirage	8–13	0.06	32%	16 Jul →
mirage	13–0	0.09	16%	16 Jul →
office	8–13	-0.02	24%	16 Jul →
italy	12–12	0.01	13%	15 Jul →
ancient	10–13	-0.01	18%	15 Jul →
dust2	15–15	-0.03	27%	10 Jul →
anubis	13–2	0.00	21%	10 Jul →
ancient	13–11	-0.02	26%	10 Jul →
nuke	13–5	0.05	23%	10 Jul →
inferno	5–13	-0.01	27%	9 Jul →
ancient	13–9	0.03	24%	9 Jul →
dust2	13–4	0.05	31%	9 Jul →
inferno	1–13	-0.02	22%	9 Jul →
train	13–7	-0.02	29%	9 Jul →
dust2	10–13	0.01	19%	8 Jul →
inferno	5–13	0.01	18%	7 Jul →
dust2	4–13	-0.10	21%	6 Jul →
ancient	13–4	0.00	16%	6 Jul →
anubis	13–8	0.09	20%	6 Jul →
inferno	9–4	0.15	19%	6 Jul →
inferno	10–13	0.02	42%	27 Jun →
agency	12–12	-0.00	30%	27 Jun →
anubis	9–13	0.01	15%	7 May →
train	7–13	-0.05	24%	7 May →
dust2	10–13	0.03	23%	7 May →
anubis	6–13	-0.02	20%	7 May →
anubis	13–8	0.07	18%	7 May →
dust2	13–3	0.16	23%	7 May →
office	2–13	0.01	26%	7 Jan →
edin	8–13	-0.02	28%	7 Jan →
italy	2–13	0.01	19%	7 Jan →
italy	13–9	0.05	21%	3 Jan →
basalt	12–4	0.01	24%	3 Jan →
nuke	13–8	0.02	28%	30 Dec →
ancient	13–7	-0.03	34%	30 Dec →
train	12–12	0.05	33%	30 Dec →
mirage	13–1	0.03	27%	29 Dec →
ancient	13–3	0.01	15%	29 Dec →
inferno	13–2	0.13	34%	29 Dec →
ancient	13–7	0.06	19%	29 Dec →
ancient	13–6	0.07	21%	28 Dec →