Sasha — CS2 Stats

76561198243171892[U:1:282906164]

1,242Tracked matches57%Win rate2021Tracked since

1,041Hours in CS

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating19,435Purple band · top ~10.7% of ranked players (population est.)

CSDB Leaderboard#7961 of 16543 tracked

FaceitLevel 5 · 1,245 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning58

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWWLLWWLWWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.6

Aggression10.0

Utility3.9

Positioning5.8

Opening Duels5.4

Clutch5.4

Limited 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 sh1ro 86% 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. 615ms 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

Aim6.6

Positioning5.8

Utility3.9

Mechanics5.9

Opening Duels5.4

Win Impact7.2

Composite 5.9/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time609ms+33ms

first ⅓ avg 576ms → last ⅓ avg 609ms

Headshot accuracy17.4%+2.2%

first ⅓ avg 15.2% → last ⅓ avg 17.4%

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 — train 13–4

13–1Biggest win — dust2

7Longest win streak

W2Current streak

8–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 68% over 28nukeWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	28	19–9	68%	0.02
mirage	B	25	13–12	52%	0.00
anubis	D	12	4–8	33%	0.02
ancient	S	12	8–4	67%	0.01
cache	A	10	6–4	60%	0.03
nuke	D	5	0–5	0%	0.02
inferno	—	3	3–0	100%	0.00
overpass	—	3	0–3	0%	-0.04
train	—	2	1–1	50%	0.12

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,377Lifetime kills

1.11K/D · Top 50% of tracked players

2,584Matches

48.1%Match win rate · Top 50% of tracked players

37.4%Headshot %

8.9%Shot accuracy

6,675MVPs

1,041Hours (in match)

3,809Bombs planted

659Bombs defused

Most-used weapons

AWP14,278

AK-479,979

M4A4 / M4A1-S6,074

P2000 / USP-S2,833

Glock-182,353

Desert Eagle1,707

FAMAS1,196

Galil AR1,102

P901,011

MP7991

Lifetime map wins

13,702dust2

2,303inferno

912train

692nuke

106office

66cbble

35italy

33vertigo

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

Faceit stats

Combat

42Matches

50%Win rate

1.05Avg K/D

79.3ADR

36%Headshot %

Clutches & streaks

47%1v1 clutch win

31%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	18	61%	1.12	15.9
Mirage	11	36%	1.04	16.1
Inferno	5	80%	0.93	14.8
Anubis	3	0%	1.11	16.0
Nuke	2	0%	0.87	8.5
Ancient	2	50%	1.30	24.5

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.

17.0%Headshot accuracy

36.9%Accuracy (enemy spotted)

33.9%Spray accuracy

76.6%Counter-strafing

9.3°Preaim

615msReaction time

44.3%T opening success

59.0%CT opening success

0.61Enemies flashed / flash

5.7%Flash assists

7.30HE damage / grenade

4.34Flashes / match

Recommended for you

Spend your practice time on Nuke

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–9	-0.01	18%	12 Aug →
mirage	13–11	-0.04	9%	12 Aug →
dust2	11–13	0.01	13%	7 Aug →
cache	12–16	-0.01	13%	7 Aug →
mirage	13–9	-0.01	7%	4 Aug →
inferno	13–4	-0.01	13%	4 Aug →
mirage	4–13	-0.02	7%	2 Aug →
mirage	13–8	-0.00	7%	2 Aug →
dust2	13–11	0.03	11%	2 Aug →
mirage	10–13	0.04	12%	1 Aug →
nuke	3–13	-0.01	24%	1 Aug →
mirage	6–13	-0.02	16%	31 Jul →
anubis	10–13	0.00	15%	31 Jul →
mirage	13–4	0.01	31%	31 Jul →
nuke	11–13	-0.03	29%	31 Jul →
cache	13–6	0.05	30%	31 Jul →
ancient	13–7	-0.01	13%	30 Jul →
dust2	13–3	0.01	10%	30 Jul →
dust2	16–12	0.01	13%	30 Jul →
anubis	13–5	0.12	24%	30 Jul →
dust2	13–6	-0.01	17%	30 Jul →
mirage	16–13	-0.03	22%	30 Jul →
mirage	5–13	-0.01	16%	28 Jul →
cache	13–7	0.10	29%	28 Jul →
mirage	7–13	0.02	19%	28 Jul →
cache	13–16	0.01	14%	28 Jul →
dust2	13–2	0.05	12%	26 Jul →
dust2	7–13	0.03	33%	26 Jul →
anubis	7–13	0.00	17%	25 Jul →
dust2	13–7	0.04	26%	25 Jul →
mirage	13–9	0.02	14%	25 Jul →
mirage	13–11	-0.01	15%	25 Jul →
dust2	13–8	0.03	30%	25 Jul →
mirage	11–13	0.00	21%	24 Jul →
anubis	13–10	0.03	14%	24 Jul →
ancient	13–9	0.01	18%	24 Jul →
mirage	13–10	-0.01	13%	24 Jul →
anubis	3–13	-0.00	7%	24 Jul →
dust2	3–13	-0.01	21%	24 Jul →
mirage	10–13	-0.07	17%	23 Jul →
mirage	13–9	0.00	12%	23 Jul →
dust2	4–13	0.00	7%	23 Jul →
dust2	13–10	0.02	13%	22 Jul →
ancient	13–8	-0.03	17%	22 Jul →
dust2	10–13	-0.07	32%	22 Jul →
dust2	10–13	-0.05	12%	21 Jul →
inferno	13–9	0.00	28%	20 Jul →
cache	13–11	0.01	24%	19 Jul →
dust2	13–7	0.08	17%	19 Jul →
mirage	9–13	0.05	30%	19 Jul →
mirage	13–10	-0.01	18%	18 Jul →
mirage	8–13	0.00	23%	18 Jul →
ancient	9–13	-0.02	19%	18 Jul →
cache	10–13	0.01	12%	16 Jul →
mirage	13–5	0.09	12%	16 Jul →
cache	14–16	0.00	20%	14 Jul →
dust2	4–13	-0.04	24%	14 Jul →
dust2	13–7	0.11	30%	12 Jul →
cache	13–7	0.09	14%	12 Jul →
ancient	13–10	0.12	20%	10 Jul →
mirage	11–13	0.05	16%	9 Jul →
cache	13–5	0.10	26%	9 Jul →
train	13–4	0.18	25%	8 Jul →
overpass	6–13	-0.06	17%	6 Jul →
dust2	13–1	0.12	13%	6 Jul →
anubis	10–13	-0.02	12%	6 Jul →
anubis	13–9	0.08	29%	4 Jul →
overpass	8–13	0.04	23%	4 Jul →
dust2	13–4	0.04	11%	4 Jul →
nuke	7–13	0.07	16%	3 Jul →
overpass	8–13	-0.08	11%	2 Jul →
anubis	8–13	0.08	20%	1 Jul →
train	11–13	0.06	23%	28 Jun →
nuke	7–13	0.03	24%	28 Jun →
dust2	13–7	0.04	18%	27 Jun →
mirage	13–11	0.00	15%	27 Jun →
dust2	13–6	0.02	14%	21 Jun →
dust2	15–15	-0.01	18%	21 Jun →
inferno	13–8	0.03	24%	21 Jun →
mirage	11–13	-0.01	9%	20 Jun →
ancient	13–4	-0.07	8%	20 Jun →
anubis	13–4	-0.01	5%	19 Jun →
dust2	13–9	0.00	15%	19 Jun →
nuke	6–13	0.05	16%	19 Jun →
ancient	7–13	0.02	13%	19 Jun →
dust2	13–11	-0.01	8%	18 Jun →
ancient	14–16	0.04	31%	15 Jun →
dust2	16–14	-0.02	7%	13 Jun →
ancient	13–8	0.03	16%	12 Jun →
dust2	11–13	0.02	14%	12 Jun →
ancient	13–5	0.08	10%	1 Jun →
anubis	8–13	-0.00	16%	29 May →
anubis	11–13	-0.03	12%	28 May →
anubis	4–13	-0.07	10%	26 May →
dust2	13–3	0.03	23%	26 May →
ancient	13–11	-0.02	13%	22 May →
ancient	3–13	-0.07	20%	22 May →
mirage	6–13	-0.02	18%	22 May →
mirage	13–10	0.02	7%	22 May →
dust2	13–4	0.01	14%	21 May →