Ging — CS2 Stats

US76561198272421437[U:1:312155709]Steam profile ↗✓ No bans

1,247Tracked matches56%Win rate2021Tracked since

2,740Hours in CS2Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating22,324Top 50% of 819 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)

CSDB Leaderboard#5965 of 19942 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning61

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLLWWWLLWTL

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

Player DNA

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

Aim7.2

Aggression8.7

Utility4.4

Positioning6.1

Opening Duels3.7

Clutch3.8

Strong CT-side openerLimited 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 ropz 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 59% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim7.2

Positioning6.1

Utility4.4

Mechanics8.1

Opening Duels3.7

Win Impact6.9

Composite 6.4/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time601ms−3ms

first ⅓ avg 603ms → last ⅓ avg 601ms

Headshot accuracy16.7%−2.0%

first ⅓ avg 18.6% → last ⅓ avg 16.7%

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

0.21Best rating — cache 3–0

13–1Biggest win — mirage

4Longest win streak

L2Current streak

5–10In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 57% over 23infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	23	13–10	57%	0.07
mirage	B	23	11–12	48%	0.00
dust2	B	13	6–7	46%	0.01
ancient	A	11	6–5	55%	0.01
nuke	B	10	5–5	50%	0.02
inferno	D	8	2–6	25%	-0.03
anubis	D	7	2–5	29%	0.00
overpass	—	2	1–1	50%	0.03
vertigo	—	1	0–1	0%	-0.01
train	—	1	1–0	100%	-0.05
warden	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,549Lifetime kills

0.98K/D

2,471Matches

42.2%Match win rate

39.1%Headshot %

6.0%Shot accuracy

5,576MVPs

861Hours (in match)

2,093Bombs planted

606Bombs defused

Most-used weapons

AK-4715,379

M4A4 / M4A1-S9,220

AWP4,423

P2000 / USP-S1,708

Glock-181,242

MP91,104

Desert Eagle1,077

P250912

MAC-10786

P90607

Lifetime map wins

3,995dust2

2,528nuke

2,130inferno

1,039vertigo

297train

149office

56italy

36cbble

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

Faceit stats

Combat

103Matches

50%Win rate

1.09Avg K/D

85.0ADR

39%Headshot %

Clutches & streaks

39%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	39	51%	1.07	17.6
Nuke	18	56%	1.29	20.1
Anubis	17	41%	0.94	15.7
Inferno	15	60%	1.13	15.4
Dust2	6	50%	1.26	14.2
Ancient	4	50%	1.12	13.8
Vertigo	3	0%	0.48	9.3
Train	1	100%	0.93	26.0

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.

16.8%Headshot accuracy

35.5%Accuracy (enemy spotted)

39.4%Spray accuracy

86.3%Counter-strafing

10.3°Preaim

608msReaction time

30.2%T opening success

59.0%CT opening success

0.49Enemies flashed / flash

10.9%Flash assists

10.50HE damage / grenade

3.62Flashes / 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 0.4935 — 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 30.1915% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	3–13	-0.04	15%	19 Aug →
mirage	8–13	-0.05	19%	14 Aug →
mirage	13–9	-0.02	25%	13 Aug →
ancient	13–9	0.07	12%	8 Aug →
dust2	13–8	0.01	13%	8 Aug →
mirage	11–13	0.02	15%	3 Aug →
anubis	5–13	-0.03	8%	3 Aug →
mirage	13–4	0.07	8%	3 Aug →
inferno	15–15	0.01	13%	3 Aug →
mirage	8–13	-0.02	20%	3 Aug →
nuke	13–6	-0.03	23%	2 Aug →
anubis	9–13	-0.03	15%	2 Aug →
ancient	13–3	0.07	29%	2 Aug →
mirage	13–8	0.01	16%	2 Aug →
inferno	5–13	-0.08	6%	2 Aug →
mirage	13–1	0.12	19%	2 Aug →
dust2	7–13	-0.03	13%	26 Jul →
anubis	15–15	-0.04	10%	26 Jul →
inferno	11–13	-0.02	16%	25 Jul →
mirage	13–7	0.05	34%	24 Jul →
mirage	3–13	-0.00	21%	24 Jul →
cache	13–10	0.01	22%	24 Jul →
ancient	15–15	0.01	14%	19 Jul →
cache	13–5	0.04	19%	19 Jul →
ancient	13–7	0.04	13%	19 Jul →
inferno	9–13	0.02	17%	25 Jun →
mirage	13–10	0.03	16%	25 Jun →
cache	7–13	-0.03	24%	25 Jun →
cache	13–8	0.16	17%	24 Jun →
cache	13–4	0.18	19%	24 Jun →
cache	9–13	0.05	20%	24 Jun →
mirage	13–7	-0.00	9%	23 Jun →
ancient	2–13	-0.05	11%	23 Jun →
mirage	13–9	-0.06	10%	22 Jun →
nuke	13–11	0.07	18%	22 Jun →
ancient	3–13	-0.10	15%	20 Jun →
cache	13–3	0.00	13%	20 Jun →
dust2	13–5	0.09	14%	20 Jun →
cache	13–6	0.10	23%	19 Jun →
cache	13–5	0.17	16%	19 Jun →
cache	7–13	0.08	15%	19 Jun →
anubis	9–13	-0.02	17%	6 Jun →
cache	13–9	0.13	21%	6 Jun →
cache	12–12	0.04	24%	3 Jun →
cache	13–10	0.05	11%	14 May →
cache	9–13	-0.05	23%	14 May →
cache	13–4	0.10	19%	14 May →
cache	13–9	0.05	20%	4 May →
cache	8–13	0.04	10%	4 May →
cache	11–13	-0.02	15%	2 May →
vertigo	12–12	-0.01	14%	1 May →
cache	12–12	0.09	14%	1 May →
cache	3–13	0.00	15%	1 May →
cache	13–7	0.15	22%	30 Apr →
cache	3–0	0.21	50%	30 Apr →
mirage	13–7	0.02	18%	28 Apr →
mirage	9–13	-0.00	23%	25 Apr →
mirage	5–13	0.01	11%	24 Apr →
train	13–9	-0.05	25%	23 Apr →
warden	13–3	0.07	26%	23 Apr →
nuke	7–13	0.02	12%	20 Apr →
ancient	13–11	0.04	17%	19 Apr →
mirage	5–13	-0.03	10%	19 Apr →
inferno	13–9	-0.06	11%	19 Apr →
mirage	13–9	-0.04	9%	19 Apr →
mirage	11–13	-0.05	9%	17 Apr →
inferno	13–9	0.01	25%	17 Apr →
ancient	11–13	-0.03	24%	17 Apr →
mirage	6–13	-0.04	24%	17 Apr →
nuke	8–13	-0.04	9%	17 Apr →
ancient	13–7	0.10	14%	17 Apr →
anubis	13–1	0.05	9%	17 Apr →
dust2	11–13	-0.03	23%	17 Apr →
nuke	5–13	0.01	15%	16 Apr →
dust2	15–15	-0.01	21%	16 Apr →
ancient	6–13	-0.11	16%	15 Apr →
inferno	3–13	-0.08	16%	15 Apr →
dust2	12–16	0.02	29%	15 Apr →
inferno	11–13	-0.04	9%	15 Apr →
mirage	6–13	-0.02	24%	14 Apr →
mirage	11–13	-0.02	23%	14 Apr →
anubis	9–13	0.01	25%	12 Apr →
ancient	13–7	0.01	13%	12 Apr →
nuke	8–13	0.02	19%	12 Apr →
anubis	13–6	0.07	29%	12 Apr →
mirage	11–13	-0.00	19%	12 Apr →
dust2	10–13	0.02	27%	11 Apr →
dust2	13–11	-0.04	17%	11 Apr →
overpass	13–9	0.04	20%	11 Apr →
dust2	13–10	0.00	26%	11 Apr →
nuke	13–11	0.01	16%	11 Apr →
dust2	8–13	0.02	15%	11 Apr →
overpass	10–13	0.01	13%	11 Apr →
nuke	11–13	0.08	17%	11 Apr →
dust2	13–6	-0.02	13%	11 Apr →
nuke	13–9	0.04	13%	11 Apr →
dust2	9–13	0.13	19%	10 Apr →
nuke	13–10	0.04	10%	10 Apr →
dust2	13–11	0.02	20%	9 Apr →
mirage	13–8	0.13	29%	9 Apr →