Gonsu — CS2 Stats

76561198019319140[U:1:59053412]✓ No bans

452Tracked matches32%Win rate2023Tracked since

1,057Hours in CS

CSDB Rating4.4 Developing

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning44

Utility50

0–100 skill scores via Leetify.

Recent form

COLD39–54–7Last 10039%Win rateLWTWLTLLLL

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

Player DNA

Aim5.1

Aggression5.7

Utility5.0

Positioning4.4

Opening Duels1.6

Clutch0.0

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 83% playstyle similarity

Most alike: opening-duel success, 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. 660ms 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

Aim5.1

Positioning4.4

Utility5.0

Mechanics6.9

Opening Duels1.7

Win Impact0.0

Composite 4.4/10 (Developing), 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 rating-0.03+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time655ms+8ms

first ⅓ avg 647ms → last ⅓ avg 655ms

Headshot accuracy17.4%+3.4%

first ⅓ avg 14.0% → 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

0.13Best rating — anubis 13–8

13–2Biggest win — ancient

4Longest win streak

4–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 53% over 19nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	38	15–23	39%	-0.02
ancient	B	19	10–9	53%	-0.01
mirage	B	15	7–8	47%	-0.03
anubis	D	12	3–9	25%	-0.03
dust2	D	8	2–6	25%	-0.02
nuke	D	5	1–4	20%	-0.01
cache	—	3	1–2	33%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,328Lifetime kills

0.86K/D

2,479Matches

39.9%Match win rate

38.2%Headshot %

13.3%Shot accuracy · Top 50% of tracked players

4,896MVPs

1,057Hours (in match)

2,281Bombs planted

739Bombs defused

Most-used weapons

AK-4714,960

M4A4 / M4A1-S9,253

AWP6,878

P2000 / USP-S3,149

Desert Eagle2,525

Glock-181,810

UMP-451,065

P250987

MAC-10804

SSG 08802

Lifetime map wins

4,788inferno

2,452dust2

691train

645cbble

606nuke

163vertigo

99safehouse

93shorttrain

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

Faceit stats

Combat

148Matches

51%Win rate

0.98Avg K/D

68.1ADR

37%Headshot %

Clutches & streaks

20%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	24	67%	0.98	13.8
Ancient	11	45%	0.95	14.6
Mirage	10	50%	0.85	11.3
Anubis	7	43%	0.75	12.0
Dust2	2	50%	0.84	13.5
Train	2	50%	0.63	11.0

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.

17.4%Headshot accuracy

30.6%Accuracy (enemy spotted)

29.5%Spray accuracy

81.0%Counter-strafing

9.9°Preaim

660msReaction time

29.4%T opening success

43.4%CT opening success

0.39Enemies flashed / flash

3.7%Flash assists

10.47HE damage / grenade

8.00Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3893 — below the 0.5 mark we flag
Grenade Lineups →
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 29.3874% — 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.

20% 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	9–13	0.00	18%	21 Jul →
inferno	16–13	-0.02	34%	13 Jul →
inferno	15–15	-0.01	16%	12 Jul →
inferno	13–9	-0.10	11%	12 Jul →
cache	2–5	-0.12	11%	7 Jul →
ancient	12–12	0.04	15%	28 Jun →
inferno	6–13	-0.03	17%	28 Jun →
nuke	10–13	-0.03	31%	27 Jun →
ancient	4–13	-0.07	13%	27 Jun →
ancient	7–13	-0.07	33%	27 Jun →
cache	13–10	-0.01	14%	1 Jun →
inferno	10–13	0.01	20%	1 Jun →
inferno	9–13	-0.05	7%	23 Apr →
anubis	12–16	-0.06	10%	26 Mar →
mirage	16–12	0.00	15%	26 Mar →
dust2	10–13	-0.06	3%	25 Mar →
nuke	8–13	-0.04	15%	25 Mar →
inferno	8–13	0.03	13%	25 Mar →
inferno	5–13	-0.04	9%	25 Mar →
nuke	6–13	-0.03	20%	24 Mar →
inferno	13–4	-0.01	36%	24 Mar →
ancient	13–9	0.03	27%	23 Mar →
inferno	13–5	-0.04	15%	23 Mar →
nuke	8–13	-0.02	13%	23 Mar →
nuke	13–4	0.07	18%	23 Mar →
anubis	6–13	-0.06	14%	23 Mar →
inferno	2–13	-0.03	27%	22 Mar →
inferno	13–8	-0.03	13%	22 Mar →
mirage	3–13	-0.08	10%	19 Mar →
dust2	8–13	-0.06	19%	19 Mar →
inferno	13–10	-0.04	13%	19 Mar →
ancient	13–2	-0.01	17%	17 Mar →
mirage	13–4	-0.01	27%	17 Mar →
inferno	8–13	0.01	20%	16 Mar →
ancient	13–3	0.04	15%	16 Mar →
anubis	14–16	-0.01	14%	16 Mar →
mirage	7–13	-0.03	23%	13 Mar →
inferno	7–13	-0.12	14%	13 Mar →
inferno	6–13	-0.04	14%	4 Mar →
inferno	13–11	-0.01	10%	11 Aug →
inferno	9–13	-0.02	8%	11 Aug →
mirage	7–13	-0.06	17%	6 Aug →
inferno	13–10	-0.02	8%	31 Jul →
mirage	16–13	-0.03	7%	23 Jul →
mirage	7–13	-0.06	9%	19 Jul →
inferno	15–15	-0.06	17%	19 Jul →
ancient	13–4	0.02	18%	19 Jul →
ancient	3–13	-0.10	8%	23 Jun →
anubis	7–13	0.01	9%	23 Jun →
ancient	13–11	-0.02	14%	23 Jun →
ancient	10–13	-0.01	19%	22 Jun →
anubis	8–13	-0.03	12%	22 Jun →
inferno	12–12	0.04	11%	22 Jun →
inferno	5–13	-0.02	8%	21 Jun →
dust2	4–13	-0.02	13%	19 Jun →
ancient	13–5	0.11	23%	19 Jun →
ancient	4–13	-0.07	7%	16 Jun →
inferno	15–15	-0.01	20%	16 Jun →
inferno	6–13	-0.04	10%	12 Jun →
anubis	12–16	-0.07	20%	10 Jun →
mirage	13–8	-0.02	18%	6 Jun →
dust2	12–12	0.02	21%	6 Jun →
inferno	13–6	0.02	19%	6 Jun →
ancient	3–13	-0.00	20%	6 Jun →
anubis	13–8	0.13	13%	6 Jun →
inferno	13–4	0.07	16%	6 Jun →
inferno	13–9	-0.00	17%	3 Jun →
inferno	5–13	-0.08	5%	2 Jun →
anubis	8–13	-0.07	4%	1 Jun →
inferno	4–13	-0.06	9%	31 May →
ancient	13–10	0.01	15%	14 Apr →
inferno	13–9	-0.03	9%	14 Apr →
anubis	16–13	-0.04	8%	13 Apr →
ancient	13–9	-0.06	13%	12 Apr →
mirage	9–13	0.03	16%	12 Apr →
inferno	13–10	0.03	14%	8 Apr →
mirage	7–13	-0.03	12%	7 Apr →
dust2	13–11	0.00	14%	6 Apr →
inferno	3–13	-0.01	25%	6 Apr →
inferno	10–13	-0.09	7%	6 Apr →
dust2	1–3	0.06	44%	31 Mar →
inferno	10–13	-0.03	12%	30 Mar →
ancient	4–13	-0.04	23%	30 Mar →
anubis	6–13	-0.05	22%	30 Mar →
mirage	13–6	-0.06	14%	29 Mar →
inferno	15–15	-0.04	7%	18 Mar →
ancient	13–6	0.01	19%	18 Mar →
ancient	10–13	-0.01	19%	8 Mar →
ancient	13–6	-0.05	6%	8 Mar →
mirage	13–8	0.03	11%	8 Mar →
mirage	10–13	-0.02	12%	6 Mar →
anubis	8–13	-0.01	14%	6 Mar →
anubis	13–8	-0.12	22%	5 Mar →
inferno	13–3	-0.01	6%	5 Mar →
inferno	11–13	0.01	10%	28 Feb →
dust2	13–10	-0.03	13%	28 Feb →
inferno	13–8	-0.02	22%	19 Feb →
mirage	13–11	-0.04	18%	17 Feb →
dust2	9–13	-0.07	8%	16 Feb →
mirage	11–13	-0.05	13%	16 Feb →