gosha — CS2 Stats

76561198370216830[U:1:409951102]Steam profile ↗✓ No bans

1,418Tracked matches43%Win rate2020Tracked since

6,204Hours in CS

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating21,271Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)

CSDB Leaderboard#12985 of 40101 tracked

FaceitLevel 10 · 2,588 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	52.5%	51.9%
Shot accuracy	18.0%	13.7%
Kill/death ratio	1.01	1.08
Match win rate	46.7%	48.7%

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Performance scores

Aim83

Positioning62

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateWWWWLWWLLL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.3

Aggression9.6

Utility5.4

Positioning6.2

Opening Duels4.1

Clutch3.6

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 device 94% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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 54% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3

Positioning6.2

Utility5.4

Mechanics7.9

Opening Duels4.1

Win Impact2.8

Composite 6.5/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time533ms−60ms

first ⅓ avg 593ms → last ⅓ avg 533ms

Headshot accuracy22.1%−7.1%

first ⅓ avg 29.1% → last ⅓ avg 22.1%

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

0.16Best rating — dust2 13–2

13–1Biggest win — mirage

6Longest win streak

W4Current streak

6–16In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 80% over 5anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	36	17–19	47%	0.02
dust2	B	17	8–9	47%	0.03
ancient	B	13	7–6	54%	0.03
anubis	C	8	3–5	38%	-0.03
cache	C	7	3–4	43%	0.06
train	B	6	3–3	50%	-0.02
nuke	S	5	4–1	80%	0.03
inferno	C	5	2–3	40%	0.06
overpass	—	3	2–1	67%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

285,618Lifetime kills

1.01K/D

6,226Matches

46.7%Match win rate

52.5%Headshot % · Top 50% of Level 10 players

18.0%Shot accuracy · Top 25% of Level 10 players

23,941MVPs

6,204Hours (in match)

10,912Bombs planted

5,539Bombs defused

Most-used weapons

AK-47130,444

AWP42,338

M4A4 / M4A1-S32,290

P2000 / USP-S20,232

Desert Eagle19,894

Glock-189,304

Knife4,205

P2504,089

SG 5533,573

SSG 082,868

Lifetime map wins

13,885inferno

9,037train

7,421dust2

4,951cbble

3,624nuke

1,163vertigo

125office

103dust

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

Faceit stats

Combat

1,816Matches

54%Win rate

1.30Avg K/D

79.5ADR

52%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	274	57%	1.23	17.1
Anubis	101	58%	1.15	16.3
Dust2	96	52%	1.20	15.9
Ancient	82	54%	1.20	15.6
Inferno	40	55%	1.22	15.9
Nuke	39	49%	1.27	16.3
Cache	33	52%	1.51	20.7
Vertigo	22	59%	1.25	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.

21.6%Headshot accuracy

35.0%Accuracy (enemy spotted)

34.6%Spray accuracy

85.5%Counter-strafing

8.5°Preaim

541msReaction time

38.6%T opening success

54.4%CT opening success

0.62Enemies flashed / flash

6.9%Flash assists

6.25HE damage / grenade

10.89Flashes / 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 38.5728% — 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.

38% win rate across 8 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
cache	13–6	0.04	27%	26 Aug →
anubis	13–7	-0.04	22%	20 Aug →
mirage	13–11	0.04	16%	16 Aug →
mirage	13–7	0.08	21%	9 Aug →
anubis	7–13	-0.02	22%	6 Aug →
mirage	13–9	0.07	15%	3 Aug →
mirage	13–9	0.00	23%	2 Aug →
mirage	10–13	0.01	20%	29 Jul →
anubis	6–13	-0.02	31%	27 Jul →
mirage	11–13	-0.03	16%	27 Jul →
anubis	13–6	0.04	19%	26 Jul →
ancient	13–5	0.06	26%	26 Jul →
dust2	8–13	-0.07	9%	26 Jul →
mirage	13–10	0.01	23%	25 Jul →
ancient	11–13	-0.01	19%	24 Jul →
ancient	11–13	0.03	25%	23 Jul →
dust2	11–13	0.03	30%	23 Jul →
dust2	11–13	0.01	24%	22 Jul →
mirage	13–6	0.06	37%	21 Jul →
mirage	5–13	0.02	26%	21 Jul →
dust2	6–13	0.14	21%	20 Jul →
dust2	13–4	0.07	24%	19 Jul →
ancient	9–13	-0.01	19%	19 Jul →
mirage	13–11	-0.00	20%	16 Jul →
cache	4–13	0.03	28%	16 Jul →
anubis	9–13	-0.08	17%	16 Jul →
mirage	10–13	-0.02	15%	16 Jul →
cache	10–13	0.08	24%	15 Jul →
mirage	11–13	-0.01	14%	13 Jul →
cache	13–9	0.07	22%	13 Jul →
dust2	11–13	0.02	23%	12 Jul →
mirage	16–13	0.02	26%	11 Jul →
mirage	11–13	-0.00	25%	10 Jul →
mirage	4–13	0.02	6%	10 Jul →
cache	11–13	0.03	22%	8 Jul →
mirage	5–13	-0.04	31%	8 Jul →
anubis	11–13	-0.04	20%	6 Jul →
cache	3–13	0.06	29%	5 Jul →
ancient	13–6	0.06	18%	5 Jul →
mirage	13–7	-0.06	15%	5 Jul →
cache	13–10	0.12	16%	5 Jul →
dust2	13–4	0.04	29%	4 Jul →
dust2	13–10	0.04	19%	4 Jul →
nuke	13–3	0.09	25%	4 Jul →
mirage	11–13	0.03	31%	3 Jul →
dust2	13–5	0.06	46%	3 Jul →
inferno	13–2	0.15	36%	6 May →
overpass	13–5	0.08	30%	6 May →
ancient	13–11	0.11	41%	6 May →
mirage	15–15	0.10	29%	4 May →
mirage	13–5	0.05	38%	4 May →
ancient	8–13	-0.03	28%	3 May →
mirage	10–13	-0.03	23%	2 May →
nuke	13–8	0.08	35%	2 May →
nuke	13–11	-0.04	21%	21 Mar →
ancient	13–2	-0.00	34%	19 Mar →
anubis	7–13	-0.04	45%	19 Mar →
inferno	11–13	0.03	21%	18 Mar →
dust2	12–16	-0.03	30%	17 Mar →
anubis	13–6	-0.01	35%	17 Mar →
ancient	13–10	0.02	29%	17 Mar →
mirage	10–13	-0.03	18%	16 Mar →
ancient	13–2	0.09	18%	16 Mar →
dust2	13–11	-0.04	33%	16 Mar →
dust2	8–13	0.02	43%	8 Feb →
inferno	10–13	0.02	21%	8 Feb →
mirage	13–5	0.11	33%	8 Feb →
inferno	11–13	0.05	21%	7 Feb →
dust2	13–2	0.16	21%	14 Jan →
train	6–13	0.03	36%	15 Dec →
train	5–13	-0.03	20%	15 Dec →
train	13–9	-0.02	31%	14 Dec →
dust2	4–13	-0.02	27%	6 Dec →
mirage	13–8	0.06	15%	5 Dec →
train	16–12	-0.07	18%	29 Nov →
mirage	11–13	0.03	25%	11 Nov →
nuke	8–13	-0.01	22%	3 Nov →
dust2	9–13	-0.02	29%	3 Nov →
mirage	11–13	-0.01	27%	31 Aug →
inferno	13–5	0.02	27%	30 Aug →
mirage	13–7	0.06	38%	30 Aug →
mirage	13–6	-0.01	30%	29 Aug →
mirage	13–11	0.02	15%	28 Aug →
mirage	6–13	0.04	39%	27 Aug →
nuke	13–10	0.00	26%	27 Aug →
mirage	4–13	-0.03	16%	27 Aug →
mirage	9–13	-0.01	20%	27 Aug →
train	13–5	0.03	47%	26 Aug →
overpass	11–13	0.03	24%	26 Aug →
mirage	13–1	0.11	46%	26 Aug →
ancient	13–6	0.10	38%	25 Aug →
mirage	13–6	0.00	42%	25 Aug →
dust2	13–6	0.07	27%	24 Aug →
mirage	9–13	0.12	30%	24 Aug →
dust2	13–5	0.02	52%	23 Aug →
train	4–13	-0.08	23%	22 Aug →
ancient	5–13	0.03	24%	19 Aug →
mirage	5–13	0.02	43%	17 Aug →
ancient	5–13	-0.02	32%	15 Aug →
overpass	13–9	-0.01	31%	6 Aug →