Gurchh — CS2 Stats

76561198201846859[U:1:241581131]Steam profile ↗✓ No bans

4,411Tracked matches55%Win rate2020Tracked since

6,125Hours in CS14Hrs last 2 wks

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating25,988Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#1900 of 18789 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning52

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLLLLLWWTW

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

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

Aim7.7

Aggression6.4

Utility5.6

Positioning5.2

Opening Duels4.1

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 iM 93% playstyle similarity

Most alike: opening-fight frequency, 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 56% on CT to 36% 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

Aim7.7

Positioning5.2

Utility5.6

Mechanics6.8

Opening Duels4.1

Win Impact6.7

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time553ms−9ms

first ⅓ avg 562ms → last ⅓ avg 553ms

Headshot accuracy19.3%+3.0%

first ⅓ avg 16.3% → last ⅓ avg 19.3%

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

0.12Best rating — inferno 13–3

13–0Biggest win — cache

5Longest win streak

4–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 58% over 12nukeWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	34	18–16	53%	0.01
mirage	A	16	9–7	56%	0.00
cache	B	15	7–8	47%	0.01
inferno	B	12	6–6	50%	0.02
anubis	A	12	7–5	58%	0.03
ancient	B	6	3–3	50%	-0.02
nuke	D	5	0–5	0%	-0.04

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

153,253Lifetime kills

0.94K/D

8,395Matches

46.1%Match win rate

40.3%Headshot %

10.9%Shot accuracy

18,079MVPs

3,677Hours (in match)

9,262Bombs planted

2,491Bombs defused

Most-used weapons

AK-4750,461

M4A4 / M4A1-S25,870

AWP19,203

P2000 / USP-S8,139

Desert Eagle8,102

Glock-186,739

Galil AR4,070

FAMAS2,629

MAC-102,442

MP92,254

Lifetime map wins

19,158inferno

18,487dust2

2,789vertigo

1,848nuke

1,075train

414cbble

219lake

111office

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

Faceit stats

Combat

419Matches

52%Win rate

0.96Avg K/D

—ADR

37%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

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.

18.9%Headshot accuracy

34.9%Accuracy (enemy spotted)

34.9%Spray accuracy

80.8%Counter-strafing

8.6°Preaim

548msReaction time

36.4%T opening success

56.2%CT opening success

0.60Enemies flashed / flash

10.7%Flash assists

11.61HE damage / grenade

9.20Flashes / 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 36.381% — below the 40% mark we flag

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	13–6	0.08	16%	28 Aug →
inferno	7–13	0.01	9%	28 Aug →
dust2	9–13	0.00	24%	28 Aug →
mirage	11–13	0.02	8%	27 Aug →
mirage	11–13	-0.01	8%	27 Aug →
dust2	9–13	-0.00	17%	27 Aug →
anubis	13–10	-0.05	12%	25 Aug →
mirage	13–10	0.01	30%	24 Aug →
dust2	15–15	-0.03	19%	21 Aug →
dust2	13–7	0.00	27%	21 Aug →
dust2	13–10	-0.02	12%	21 Aug →
mirage	13–10	0.02	40%	20 Aug →
anubis	13–7	0.05	16%	20 Aug →
anubis	4–13	-0.00	25%	20 Aug →
dust2	13–8	0.03	21%	19 Aug →
ancient	13–8	-0.00	20%	19 Aug →
anubis	13–5	0.09	21%	16 Aug →
mirage	2–13	-0.00	26%	16 Aug →
dust2	9–2	0.01	30%	16 Aug →
mirage	6–13	-0.08	14%	16 Aug →
dust2	4–1	0.03	33%	16 Aug →
dust2	13–2	0.06	26%	16 Aug →
nuke	1–13	-0.09	0%	15 Aug →
dust2	13–16	0.05	13%	29 Jul →
dust2	13–2	0.08	31%	29 Jul →
dust2	7–13	-0.00	22%	29 Jul →
anubis	11–13	0.08	17%	29 Jul →
anubis	13–10	0.04	12%	28 Jul →
dust2	16–14	-0.03	22%	28 Jul →
dust2	5–13	-0.03	17%	28 Jul →
ancient	6–13	-0.04	8%	28 Jul →
dust2	13–11	0.09	11%	28 Jul →
dust2	10–13	-0.01	29%	27 Jul →
mirage	13–11	0.03	19%	27 Jul →
dust2	13–5	0.05	16%	27 Jul →
dust2	15–15	0.04	17%	27 Jul →
ancient	13–9	0.01	20%	26 Jul →
cache	5–13	0.04	23%	26 Jul →
inferno	13–6	0.04	17%	26 Jul →
ancient	2–13	-0.04	10%	26 Jul →
anubis	13–5	0.11	26%	26 Jul →
inferno	10–13	-0.04	10%	25 Jul →
anubis	3–13	-0.03	9%	25 Jul →
dust2	13–8	0.03	10%	25 Jul →
mirage	13–5	0.03	27%	25 Jul →
ancient	10–13	-0.06	18%	25 Jul →
ancient	13–7	0.02	18%	24 Jul →
inferno	0–2	-0.00	0%	24 Jul →
cache	5–13	-0.01	14%	24 Jul →
inferno	13–9	0.09	21%	24 Jul →
inferno	6–13	-0.01	16%	24 Jul →
dust2	13–6	-0.01	15%	24 Jul →
inferno	13–9	0.02	18%	23 Jul →
inferno	16–13	0.01	16%	23 Jul →
nuke	10–13	-0.00	45%	23 Jul →
nuke	6–13	-0.06	40%	23 Jul →
dust2	13–7	-0.00	23%	19 Jul →
mirage	11–13	-0.03	9%	19 Jul →
anubis	16–13	0.00	14%	18 Jul →
cache	13–6	0.01	14%	18 Jul →
dust2	6–13	-0.07	12%	18 Jul →
mirage	5–13	-0.03	25%	18 Jul →
anubis	13–5	0.00	15%	18 Jul →
dust2	10–13	-0.06	17%	18 Jul →
cache	13–5	0.06	15%	17 Jul →
dust2	13–9	0.03	18%	17 Jul →
cache	12–16	-0.02	25%	17 Jul →
dust2	13–7	0.10	27%	17 Jul →
dust2	8–13	-0.01	20%	17 Jul →
dust2	13–10	0.02	35%	17 Jul →
inferno	13–3	0.12	14%	17 Jul →
cache	16–12	-0.03	13%	17 Jul →
dust2	16–12	-0.04	9%	16 Jul →
mirage	13–2	0.05	14%	16 Jul →
dust2	7–13	-0.03	12%	16 Jul →
mirage	13–8	0.01	10%	16 Jul →
cache	11–13	0.07	14%	16 Jul →
anubis	5–13	0.10	15%	15 Jul →
dust2	13–3	0.02	23%	15 Jul →
cache	16–13	-0.02	9%	15 Jul →
dust2	7–13	0.00	12%	15 Jul →
mirage	16–13	-0.00	13%	15 Jul →
cache	13–7	0.02	14%	15 Jul →
cache	8–13	0.04	16%	15 Jul →
nuke	9–13	0.01	10%	15 Jul →
mirage	4–13	-0.06	5%	15 Jul →
mirage	13–1	0.01	29%	15 Jul →
cache	13–0	0.01	42%	15 Jul →
inferno	8–13	-0.00	7%	15 Jul →
dust2	3–13	-0.03	8%	14 Jul →
cache	15–15	-0.04	12%	13 Jul →
nuke	9–13	-0.06	10%	13 Jul →
cache	9–13	-0.04	6%	12 Jul →
dust2	10–13	-0.01	30%	12 Jul →
cache	0–8	-0.03	0%	12 Jul →
mirage	13–11	0.05	19%	12 Jul →
inferno	15–15	0.04	16%	12 Jul →
dust2	7–13	0.01	25%	12 Jul →
inferno	13–10	-0.01	29%	11 Jul →
anubis	11–13	-0.04	20%	11 Jul →