$hasha — CS2 Stats

XK76561199556893713[U:1:1596627985]Steam profile ↗✓ No bans

1,868Tracked matches48%Win rate2023Tracked since

CSDB Rating4.4 Developing

Premier CS Rating13,421Blue band · top ~36.8% of ranked players (population est.)

CSDB Leaderboard#13710 of 20147 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning37

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLTLWWLWLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.6

Aggression3.5

Utility5.5

Positioning3.7

Opening Duels0.0

Clutch4.8

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 NiKo 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 606ms 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

Aim5.6

Positioning3.7

Utility5.5

Mechanics6.3

Opening Duels0.2

Win Impact4.4

Composite 4.4/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time599ms+19ms

first ⅓ avg 581ms → last ⅓ avg 599ms

Headshot accuracy14.0%−2.4%

first ⅓ avg 16.3% → last ⅓ avg 14.0%

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

0.17Best rating — boulder 13–8

13–0Biggest win — ancient

5Longest win streak

7–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 60% over 10mirageWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	17	10–7	59%	-0.00
nuke	B	16	8–8	50%	-0.01
anubis	C	11	4–7	36%	0.01
cache	C	10	4–6	40%	-0.01
dust2	A	10	6–4	60%	-0.02
ancient	A	10	6–4	60%	-0.00
office	A	9	5–4	56%	0.00
mirage	D	8	1–7	13%	-0.03
train	—	2	1–1	50%	0.02
vertigo	—	2	2–0	100%	0.05
shelter	—	2	1–1	50%	0.07
overpass	—	1	1–0	100%	0.12
fachwerk	—	1	1–0	100%	0.01
boulder	—	1	1–0	100%	0.17

Across the last 100 tracked matches.

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

Faceit stats

Combat

10Matches

40%Win rate

0.96Avg K/D

88.5ADR

33%Headshot %

Clutches & streaks

44%1v1 clutch win

33%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	4	75%	0.92	13.5
Mirage	3	33%	1.12	14.3
Anubis	2	0%	1.22	18.5
Vertigo	1	0%	0.13	2.0

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.

14.0%Headshot accuracy

34.0%Accuracy (enemy spotted)

35.6%Spray accuracy

78.4%Counter-strafing

10.9°Preaim

606msReaction time

27.6%T opening success

31.3%CT opening success

0.55Enemies flashed / flash

3.8%Flash assists

9.90HE damage / grenade

6.48Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.0334% — below the 15% mark we flag
Aim Training →
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 27.5729% — 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.

13% win rate across 8 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
mirage	7–13	-0.02	12%	29 Aug →
nuke	15–15	-0.04	21%	28 Aug →
office	6–13	-0.04	18%	24 Aug →
office	10–4	0.01	9%	23 Aug →
inferno	13–11	0.02	23%	21 Aug →
nuke	10–13	0.02	11%	17 Aug →
office	13–9	0.04	10%	16 Aug →
inferno	9–13	-0.03	14%	16 Aug →
inferno	13–7	0.06	18%	15 Aug →
train	13–1	0.04	18%	15 Aug →
train	11–13	0.00	12%	15 Aug →
cache	6–13	-0.01	23%	10 Aug →
cache	13–5	0.03	32%	9 Aug →
inferno	13–5	0.01	9%	9 Aug →
dust2	13–8	0.01	6%	9 Aug →
inferno	11–13	-0.04	6%	9 Aug →
overpass	11–2	0.12	14%	9 Aug →
cache	7–13	-0.00	16%	9 Aug →
nuke	14–16	-0.01	13%	9 Aug →
inferno	13–11	0.00	16%	8 Aug →
nuke	7–13	0.01	11%	8 Aug →
dust2	7–13	-0.09	17%	8 Aug →
anubis	8–13	-0.08	15%	8 Aug →
dust2	13–3	-0.03	9%	8 Aug →
nuke	13–4	-0.06	9%	8 Aug →
dust2	13–6	0.04	20%	3 Aug →
ancient	11–13	0.01	16%	3 Aug →
ancient	3–13	-0.04	6%	3 Aug →
nuke	13–10	0.03	9%	3 Aug →
inferno	8–13	-0.05	6%	3 Aug →
anubis	8–13	-0.04	15%	2 Aug →
dust2	8–13	-0.08	13%	2 Aug →
ancient	13–9	-0.03	13%	2 Aug →
dust2	13–5	0.00	14%	2 Aug →
cache	4–13	-0.00	18%	2 Aug →
vertigo	13–2	0.08	17%	1 Aug →
vertigo	13–7	0.01	17%	1 Aug →
nuke	13–9	-0.04	19%	1 Aug →
nuke	13–10	-0.03	17%	27 Jul →
ancient	13–10	-0.06	11%	27 Jul →
inferno	11–13	-0.02	12%	27 Jul →
mirage	10–13	-0.07	9%	27 Jul →
dust2	8–13	-0.01	9%	26 Jul →
nuke	10–13	0.00	14%	26 Jul →
anubis	13–11	0.01	7%	26 Jul →
anubis	13–9	0.03	13%	26 Jul →
anubis	12–12	0.06	13%	26 Jul →
office	13–7	0.01	0%	25 Jul →
cache	13–5	0.04	15%	24 Jul →
office	13–4	0.02	15%	24 Jul →
fachwerk	13–10	0.01	23%	24 Jul →
anubis	5–13	-0.02	20%	23 Jul →
anubis	13–3	0.08	15%	23 Jul →
inferno	13–9	0.02	15%	20 Jul →
ancient	9–13	-0.02	4%	20 Jul →
ancient	13–1	0.08	15%	20 Jul →
cache	8–13	-0.02	12%	20 Jul →
dust2	15–15	-0.01	7%	19 Jul →
ancient	7–13	-0.01	3%	19 Jul →
inferno	13–2	0.04	17%	19 Jul →
mirage	6–13	-0.07	12%	19 Jul →
mirage	9–13	0.01	13%	19 Jul →
anubis	13–2	0.07	16%	19 Jul →
nuke	8–13	0.06	13%	19 Jul →
cache	6–13	-0.02	27%	19 Jul →
ancient	13–11	-0.00	11%	18 Jul →
inferno	13–9	-0.04	16%	18 Jul →
anubis	9–13	0.00	7%	18 Jul →
nuke	13–9	-0.04	7%	18 Jul →
inferno	11–5	0.00	18%	18 Jul →
mirage	12–16	-0.05	14%	18 Jul →
mirage	10–13	-0.02	13%	18 Jul →
ancient	13–10	0.01	10%	18 Jul →
nuke	13–7	0.10	20%	18 Jul →
inferno	10–13	0.01	21%	18 Jul →
nuke	13–16	-0.04	21%	18 Jul →
anubis	3–13	-0.05	32%	18 Jul →
inferno	13–11	-0.02	11%	17 Jul →
inferno	6–9	0.02	18%	17 Jul →
office	13–9	0.01	18%	17 Jul →
anubis	10–13	-0.00	20%	13 Jul →
nuke	9–13	-0.05	15%	13 Jul →
dust2	16–14	-0.01	19%	13 Jul →
mirage	13–9	0.06	10%	12 Jul →
cache	6–13	-0.06	10%	12 Jul →
office	12–12	-0.01	15%	12 Jul →
nuke	13–11	-0.06	18%	12 Jul →
boulder	13–8	0.17	18%	12 Jul →
shelter	12–12	0.00	13%	12 Jul →
nuke	13–3	0.01	14%	12 Jul →
shelter	13–6	0.13	14%	12 Jul →
office	10–13	-0.01	18%	12 Jul →
inferno	9–13	0.05	12%	11 Jul →
cache	16–13	0.00	13%	11 Jul →
dust2	13–4	0.02	12%	11 Jul →
office	11–13	-0.04	30%	10 Jul →
cache	13–2	-0.00	15%	6 Jul →
ancient	13–0	0.03	17%	5 Jul →
inferno	13–3	-0.06	14%	5 Jul →
mirage	3–13	-0.08	32%	5 Jul →