ghosty — CS2 Stats

76561198372389190[U:1:412123462]✓ No bans

1,241Tracked matches37%Win rate2023Tracked since
1,693Hours in CS1Hrs last 2 wks
CSDB Rating2.9 Learning
FaceitLevel 2 · 686 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGghostyFACEITLevel 2 · 686 ELOSTANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim28
Positioning54
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY34624Last 10034%Win rateLWLWLLLLWW

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

Player DNA

Aim2.8
Aggression6.3
Utility2.2
Positioning5.4
Opening Duels2.5
Clutch1.2

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

Twistzz

Plays most like Twistzz 75% playstyle similarity

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

Where you differ: lower utility contribution; 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 53% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 662ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning5.4
Utility2.2
Mechanics4.2
Opening Duels2.9
Win Impact0.6

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time662ms−8ms
first ⅓ avg 670ms → last ⅓ avg 662ms
Headshot accuracy13.9%−3.0%
first ⅓ avg 16.8% → last ⅓ avg 13.9%

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 — inferno 10–2
133Biggest win — overpass
4Longest win streak
46In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 59% over 17infernoWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
nukeD2241818%-0.00
ancientA1710759%-0.01
anubisC156940%-0.01
infernoD1321115%0.02
dust2C114736%-0.02
overpassA95456%-0.00
mirageC83538%-0.02
cache3030%-0.01
poseidon2020%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,775Lifetime kills
0.89K/D
2,568Matches
37.0%Match win rate
38.1%Headshot %
6.4%Shot accuracy
4,509MVPs
787Hours (in match)
1,966Bombs planted
368Bombs defused

Most-used weapons

Lifetime map wins

3,112dust2
1,899nuke
1,607inferno
948vertigo
846lake
465train
166cbble
81ar_shoots

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

Faceit stats

Combat

59Matches
42%Win rate
0.75Avg K/D
67.7ADR
42%Headshot %

Clutches & streaks

26%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1242%0.7513.3
Dust21250%0.7913.0
Ancient1145%0.8613.1
Inferno956%0.6912.0
Overpass667%0.9615.0
Train30%0.579.0
Vertigo30%0.6210.3
Nuke20%0.315.5

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.

14.1%Headshot accuracy
27.1%Accuracy (enemy spotted)
30.2%Spray accuracy
69.0%Counter-strafing
11.2°Preaim
662msReaction time
26.8%T opening success
52.9%CT opening success
0.36Enemies flashed / flash
4.8%Flash assists
4.06HE damage / grenade
4.31Flashes / 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.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0914% — below the 15% mark we flag

    Aim Training
  2. 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 0.3646 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 26.8362% — 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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.1012%22 Jul
ancient13–9-0.029%12 Jul
cache4–130.0123%10 Jul
mirage13–50.0021%9 Jul
cache13–16-0.0617%9 Jul
overpass4–130.0410%26 Jun
inferno5–130.0422%22 Jun
nuke9–130.0211%17 Jun
ancient13–9-0.0213%17 Jun
overpass13–30.055%17 Jun
dust21–13-0.0429%17 Jun
nuke8–13-0.0514%16 Jun
nuke14–16-0.0113%5 Jun
mirage13–7-0.0324%3 Jun
nuke10–13-0.0819%3 Jun
anubis13–100.0311%3 Jun
ancient13–90.0213%3 Jun
overpass13–8-0.013%29 May
anubis0–13-0.1110%29 May
dust29–13-0.0513%25 May
mirage10–13-0.0519%25 May
nuke13–7-0.0212%25 May
ancient3–13-0.0511%22 May
overpass8–130.0111%22 May
anubis13–80.0720%22 May
mirage3–130.0314%20 May
inferno13–110.1214%20 May
cache3–130.0110%29 Apr
overpass2–13-0.0211%26 Apr
dust24–130.0412%25 Apr
mirage1–13-0.0711%25 Apr
dust213–10-0.0014%25 Apr
ancient13–110.1211%25 Apr
nuke5–13-0.0214%22 Apr
ancient13–3-0.0718%22 Apr
nuke8–13-0.0318%14 Apr
anubis1–13-0.019%14 Apr
nuke4–13-0.0419%13 Apr
ancient15–150.0211%9 Apr
mirage9–13-0.0724%8 Apr
anubis4–13-0.027%8 Apr
inferno6–13-0.0622%8 Apr
inferno2–13-0.0732%8 Apr
nuke13–70.0618%7 Apr
nuke11–130.0629%7 Apr
nuke8–130.0831%7 Apr
nuke7–13-0.025%6 Apr
inferno5–130.0519%6 Apr
ancient10–13-0.0011%3 Apr
inferno5–130.0317%3 Apr
anubis6–130.0125%1 Apr
inferno8–8-0.0814%26 Mar
inferno8–80.1921%26 Mar
poseidon7–9-0.1427%26 Mar
dust26–13-0.0038%26 Mar
anubis7–130.0420%25 Mar
overpass13–110.0412%25 Mar
ancient13–3-0.027%22 Mar
nuke7–130.0619%5 Mar
nuke7–130.0219%3 Mar
ancient8–13-0.0227%26 Feb
nuke1–13-0.0229%26 Feb
inferno3–13-0.030%24 Feb
ancient6–13-0.0216%23 Feb
inferno9–130.0515%23 Feb
nuke11–130.0424%23 Feb
anubis13–4-0.0612%22 Feb
dust213–100.0318%22 Feb
anubis13–10-0.0217%22 Feb
ancient13–60.0218%22 Feb
nuke8–13-0.0420%22 Feb
overpass13–10-0.0118%19 Feb
dust29–13-0.0125%18 Feb
overpass4–13-0.068%18 Feb
ancient13–80.0520%18 Feb
ancient5–13-0.065%11 Feb
anubis8–13-0.0816%11 Feb
inferno13–16-0.0418%11 Feb
poseidon8–80.1036%11 Feb
nuke6–9-0.046%11 Feb
nuke4–13-0.0212%10 Feb
anubis11–13-0.039%9 Feb
inferno10–20.2120%9 Feb
ancient13–10-0.037%9 Feb
ancient13–7-0.0610%9 Feb
mirage13–8-0.0122%9 Feb
inferno8–13-0.0618%6 Feb
nuke11–13-0.029%6 Feb
nuke13–80.0022%6 Feb
ancient8–13-0.0318%6 Feb
anubis9–130.0526%6 Feb
nuke13–40.0421%5 Feb
dust213–90.0224%5 Feb
overpass13–11-0.0524%5 Feb
dust213–10-0.0412%5 Feb
anubis10–130.0514%5 Feb
mirage3–130.0117%30 Jan
anubis13–8-0.0124%30 Jan
dust210–13-0.0814%29 Jan
anubis13–5-0.0013%29 Jan

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →