Ghosty — CS2 Stats

76561198339443367[U:1:379177639]✓ No bans

240Tracked matches65%Win rate2020Tracked since

1,539Hours in CS7Hrs last 2 wks

CSDB Rating7.2 StrongAggressive Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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	50.7%	52.0%
Shot accuracy	22.4%	13.7%
Kill/death ratio	1.35	1.08
Match win rate	56.3%	48.8%

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Performance scores

Aim82

Positioning64

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY62–32–6Last 10062%Win rateWLWWWWLLWL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim8.2

Aggression9.5

Utility5.1

Positioning6.4

Opening Duels4.6

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 sh1ro 93% playstyle similarity

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

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

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 58% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim8.2

Positioning6.4

Utility5.1

Mechanics8.3

Opening Duels4.6

Win Impact10.0

Composite 7.2/10 (Strong), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time630ms−1ms

first ⅓ avg 631ms → last ⅓ avg 630ms

Headshot accuracy26.7%+3.9%

first ⅓ avg 22.8% → last ⅓ avg 26.7%

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

0.15Best rating — inferno 13–3

16–3Biggest win — overpass

8Longest win streak

8–8In matches decided by ≤2 rounds

19Overtime games

Map breakdown

ancientBest map · 82% over 17infernoWeakest map · 47% over 17

Map	Grade	Played	Record	Win rate	Avg rating
overpass	A	18	11–7	61%	0.02
ancient	S	17	14–3	82%	0.02
inferno	B	17	8–9	47%	0.01
dust2	B	12	6–6	50%	-0.01
anubis	S	9	6–3	67%	0.00
mirage	A	8	5–3	63%	0.01
nuke	—	4	1–3	25%	0.02
cache	—	3	2–1	67%	0.02
jura	—	3	3–0	100%	-0.01
office	—	2	2–0	100%	-0.00
agency	—	2	1–1	50%	0.02
vertigo	—	2	1–1	50%	0.05
train	—	1	0–1	0%	-0.06
grail	—	1	1–0	100%	0.01
mills	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,924Lifetime kills

1.35K/D · Top 25% of Level 10 players

1,926Matches

56.3%Match win rate · Top 10% of Level 10 players

50.7%Headshot %

22.4%Shot accuracy · Top 1% of Level 10 players

7,920MVPs

1,108Hours (in match)

4,088Bombs planted

1,008Bombs defused

Most-used weapons

AK-4720,855

M4A4 / M4A1-S9,443

AWP6,013

P2000 / USP-S4,103

Desert Eagle3,352

Knife2,759

UMP-452,224

Glock-182,191

P2501,950

Five-SeveN1,203

Lifetime map wins

2,636train

2,009inferno

1,976dust2

1,464cbble

741nuke

222office

143aztec

122italy

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

Faceit stats

Combat

358Matches

65%Win rate

1.55Avg K/D

—ADR

48%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	8	62%	1.13	15.9
Inferno	4	75%	0.94	16.5
Ancient	3	100%	1.18	14.7
Overpass	2	100%	1.17	14.0
Mirage	1	100%	1.20	18.0

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.

26.4%Headshot accuracy

36.3%Accuracy (enemy spotted)

38.7%Spray accuracy

87.3%Counter-strafing

10.4°Preaim

621msReaction time

39.1%T opening success

57.9%CT opening success

0.69Enemies flashed / flash

6.8%Flash assists

10.24HE damage / grenade

15.29Flashes / 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 39.0864% — 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.

47% win rate across 17 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
ancient	13–6	0.04	20%	29 Aug →
ancient	1–13	-0.04	22%	29 Aug →
dust2	13–11	-0.01	18%	28 Aug →
cache	13–4	0.06	26%	28 Aug →
inferno	13–3	0.15	13%	28 Aug →
ancient	16–13	0.01	18%	27 Aug →
dust2	11–13	0.02	33%	27 Aug →
dust2	7–13	-0.01	14%	17 Aug →
dust2	13–5	0.05	49%	17 Aug →
mirage	3–13	-0.06	17%	17 Aug →
cache	13–8	0.05	33%	17 Aug →
mirage	12–12	0.05	33%	15 Aug →
dust2	13–11	-0.03	19%	15 Aug →
inferno	12–12	-0.01	31%	15 Aug →
cache	9–13	-0.06	32%	12 Aug →
dust2	13–11	-0.05	22%	12 Aug →
ancient	13–9	-0.01	33%	12 Aug →
dust2	13–7	-0.03	33%	30 Jul →
dust2	11–13	-0.03	19%	23 Feb →
inferno	13–5	0.03	18%	23 Feb →
office	13–9	-0.04	24%	20 Feb →
dust2	10–13	-0.02	17%	6 Sept →
overpass	13–5	0.06	25%	6 Sept →
nuke	15–15	0.03	42%	17 Aug →
overpass	3–13	-0.02	38%	17 Aug →
ancient	12–1	0.07	13%	17 Aug →
overpass	12–12	-0.01	25%	16 Aug →
ancient	4–0	0.09	50%	16 Aug →
dust2	11–13	-0.02	36%	2 Aug →
overpass	13–2	0.07	28%	2 Aug →
dust2	1–12	-0.09	27%	30 Jul →
overpass	13–4	0.08	32%	29 Jul →
overpass	13–8	-0.01	23%	29 Jul →
mirage	13–4	0.02	23%	21 Jul →
jura	13–5	0.05	33%	27 May →
train	4–13	-0.06	30%	27 May →
jura	13–3	-0.01	35%	27 May →
agency	13–5	0.08	24%	26 May →
jura	13–5	-0.06	19%	26 May →
grail	13–7	0.01	16%	26 May →
agency	11–13	-0.05	24%	12 May →
mills	13–5	0.09	46%	18 Aug →
office	13–4	0.03	45%	18 Aug →
dust2	13–6	0.11	28%	18 Aug →
mirage	0–8	-0.12	25%	9 Feb →
inferno	16–14	-0.03	31%	1 Dec →
anubis	10–13	0.02	33%	30 Nov →
anubis	13–6	-0.03	15%	30 Nov →
anubis	17–19	-0.02	19%	28 Nov →
anubis	13–3	0.07	23%	28 Nov →
anubis	10–13	-0.05	19%	28 Nov →
ancient	5–13	0.03	32%	27 Nov →
overpass	13–6	0.02	18%	27 Nov →
inferno	13–4	0.01	15%	27 Nov →
anubis	13–3	0.01	33%	27 Nov →
ancient	13–9	0.02	24%	26 Nov →
anubis	13–6	-0.05	21%	26 Nov →
overpass	13–3	0.04	26%	26 Nov →
ancient	13–5	-0.00	30%	26 Nov →
ancient	13–7	-0.08	34%	26 Nov →
inferno	19–22	-0.01	16%	26 Nov →
inferno	3–13	-0.09	16%	26 Nov →
inferno	11–3	0.03	33%	22 Nov →
mirage	13–9	0.03	16%	22 Nov →
anubis	13–8	0.01	23%	22 Nov →
inferno	13–2	0.03	29%	22 Nov →
overpass	12–16	-0.04	19%	21 Nov →
anubis	13–10	0.05	14%	10 Nov →
inferno	16–12	0.02	25%	10 Nov →
mirage	13–11	0.05	27%	10 Nov →
overpass	13–9	-0.03	14%	10 Nov →
overpass	7–13	0.02	18%	28 Sept →
nuke	3–13	0.08	22%	28 Sept →
ancient	13–5	0.05	30%	28 Sept →
vertigo	10–13	0.03	16%	23 Sept →
inferno	10–13	0.10	28%	23 Sept →
nuke	11–13	0.01	31%	23 Sept →
ancient	13–10	0.01	16%	22 Sept →
inferno	5–13	-0.01	29%	22 Sept →
ancient	13–8	0.06	21%	22 Sept →
ancient	15–15	0.01	43%	22 Sept →
inferno	11–16	-0.01	21%	18 Sept →
overpass	16–14	0.02	22%	18 Sept →
overpass	16–3	0.04	30%	18 Sept →
inferno	14–16	-0.04	17%	18 Sept →
overpass	15–15	-0.00	25%	14 Sept →
overpass	16–14	0.06	17%	14 Sept →
inferno	6–16	-0.03	17%	14 Sept →
inferno	16–7	0.06	21%	14 Sept →
vertigo	16–5	0.06	20%	14 Sept →
mirage	16–13	0.04	16%	13 Sept →
ancient	16–8	0.03	30%	13 Sept →
inferno	7–13	-0.03	21%	13 Sept →
overpass	11–13	0.02	33%	11 Sept →
nuke	13–10	-0.03	26%	11 Sept →
mirage	13–11	0.07	29%	11 Sept →
ancient	13–7	0.03	10%	11 Sept →
overpass	13–4	0.03	17%	11 Sept →
ancient	13–10	-0.01	31%	11 Sept →
overpass	7–13	-0.06	15%	11 Sept →