Gho$t

Gho$t — CS2 Stats

76561197990336371[U:1:30070643]Steam profile ↗✓ No bans

5,167Tracked matches42%Win rate2021Tracked since
CSDB Rating2.8 LearningClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+135Tracked matches · now 5,167
+4.4ppWin rate · 37.9% → 42.3%

Rating over time

2,550Peak Premier on CSDB
22Days played since 2026-09-20

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim21
Positioning37
Utility50

0–100 skill scores via Leetify.

Recent form

COLD47–46–7Last 10047%Win rateLWLLWLLLLL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −1.9pp headshot accuracy · +27ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 13%
  • Avg reaction 664ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 14%
  • Avg reaction 664ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 651ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.3 against its own average).

Aim2.1
Utility5.0
Positioning3.7
Opening Duels0.3
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 61% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim2.1
Positioning3.7
Utility5.0
Mechanics2.5
Opening Duels0.7
Win Impact2.4

Composite 2.8/10 (Learning), 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-0.04+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time648ms−31ms
first ⅓ avg 679ms → last ⅓ avg 648ms
Headshot accuracy15.9%−1.5%
first ⅓ avg 17.4% → last ⅓ avg 15.9%

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.

Personal bests

0.14Best match rating · 5–1 · office, 14 Oct →
40%Best headshot accuracy · 13–2 · office, 3 Oct →
469msFastest reaction time · 10–0 · inferno, 27 Sept →
13–0Biggest win · nuke, 12 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 50% over 18infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
officeB4321–2249%-0.03
nukeB189–950%-0.05
dust2B178–947%-0.04
infernoD62–433%-0.09
ancient—41–325%-0.08
mirage—41–325%-0.02
anubis—32–167%-0.06
vertigo—22–0100%-0.07
overpass—20–20%-0.04
cache—11–0100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
50%Win rate
0.66Avg K/D
54.0ADR
49%Headshot %

Clutches & streaks

50%1v1 clutch win
33%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.5810.0
Dust21100%0.538.0
Ancient1100%0.9314.0

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.

15.3%Headshot accuracy
29.4%Accuracy (enemy spotted)
28.8%Spray accuracy
61.3%Counter-strafing
14.1°Preaim
642msReaction time
30.3%T opening success
35.3%CT opening success
0.63Enemies flashed / flash
4.5%Flash assists
6.62HE damage / grenade
7.70Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.0811° — above the 12° mark we flag

    Aim Training →
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office0–13-0.1322%17 Oct →
dust213–11-0.0511%16 Oct →
office6–13-0.0916%16 Oct →
inferno7–13-0.166%16 Oct →
nuke13–8-0.0211%16 Oct →
office7–13-0.0522%16 Oct →
office10–130.0117%16 Oct →
dust25–13-0.0711%16 Oct →
inferno5–13-0.0519%16 Oct →
office9–13-0.124%15 Oct →
nuke6–13-0.0625%15 Oct →
office13–8-0.0910%15 Oct →
ancient3–13-0.1529%14 Oct →
dust212–12-0.0119%14 Oct →
office12–120.019%14 Oct →
office13–60.0512%14 Oct →
nuke9–13-0.0412%14 Oct →
office5–10.1413%14 Oct →
mirage5–13-0.0416%14 Oct →
dust213–100.0014%14 Oct →
dust212–12-0.019%14 Oct →
vertigo4–2-0.0814%14 Oct →
office13–11-0.0830%14 Oct →
overpass4–130.029%13 Oct →
office7–13-0.0321%13 Oct →
office13–4-0.0215%13 Oct →
office5–2-0.0725%13 Oct →
dust212–120.0914%13 Oct →
office8–13-0.0519%13 Oct →
office13–2-0.0213%12 Oct →
nuke13–0-0.0028%12 Oct →
nuke13–70.0219%12 Oct →
office7–13-0.0612%12 Oct →
office7–13-0.0121%12 Oct →
office13–6-0.0421%11 Oct →
dust27–13-0.0917%11 Oct →
anubis13–11-0.0511%11 Oct →
nuke1–13-0.140%11 Oct →
office9–13-0.0914%10 Oct →
office5–11-0.0511%10 Oct →
office13–4-0.0028%10 Oct →
office6–13-0.114%10 Oct →
office13–100.0318%9 Oct →
office13–30.0027%8 Oct →
nuke8–13-0.0614%8 Oct →
office13–4-0.0312%7 Oct →
office11–13-0.0223%7 Oct →
nuke4–13-0.0414%7 Oct →
office13–80.0016%7 Oct →
office13–6-0.0416%7 Oct →
office5–13-0.0316%7 Oct →
nuke9–13-0.0915%6 Oct →
office13–50.1034%6 Oct →
nuke13–10-0.0730%6 Oct →
office8–130.0027%6 Oct →
office13–80.0020%6 Oct →
office12–12-0.0321%5 Oct →
nuke2–130.0314%5 Oct →
office13–7-0.0225%4 Oct →
mirage9–13-0.0517%4 Oct →
dust25–13-0.088%4 Oct →
office10–13-0.039%4 Oct →
nuke13–6-0.0524%4 Oct →
office11–13-0.0223%4 Oct →
office12–120.0320%3 Oct →
nuke3–7-0.0813%3 Oct →
nuke10–13-0.1213%3 Oct →
dust213–2-0.0517%3 Oct →
office13–2-0.0740%3 Oct →
dust211–13-0.0526%1 Oct →
ancient3–13-0.1311%30 Sept →
dust213–8-0.0818%30 Sept →
ancient10–13-0.077%30 Sept →
anubis13–9-0.069%30 Sept →
dust213–8-0.0716%29 Sept →
inferno11–13-0.0613%28 Sept →
mirage10–13-0.0914%28 Sept →
ancient13–10.0214%28 Sept →
anubis5–13-0.0826%28 Sept →
nuke13–5-0.1013%28 Sept →
dust213–40.009%27 Sept →
inferno10–0-0.120%27 Sept →
office10–13-0.0524%27 Sept →
vertigo13–8-0.0617%27 Sept →
overpass6–13-0.1133%27 Sept →
dust29–13-0.0721%27 Sept →
office6–13-0.0222%27 Sept →
inferno13–7-0.1121%27 Sept →
cache13–8-0.0414%27 Sept →
dust213–20.0518%27 Sept →
nuke11–11-0.099%27 Sept →
mirage13–60.0917%27 Sept →
nuke13–10-0.0226%26 Sept →
office13–10-0.0329%26 Sept →
dust210–13-0.068%26 Sept →
dust213–4-0.0421%26 Sept →
inferno12–12-0.0617%26 Sept →
office13–9-0.0114%26 Sept →
nuke13–6-0.0013%25 Sept →
office13–5-0.0717%25 Sept →

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 →

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