Ghost

Ghost — CS2 Stats

76561198081455691[U:1:121189963]Steam profile ↗✓ No bans

551Tracked matches30%Win rate2020Tracked since
2,669Hours in CS
CSDB Rating4.0 DevelopingSupport
Premier CS Rating17,030Purple band · top ~20.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,030 -390 27 Jul – 11 Oct · 16 days played
17,03021,373peak 21,37327 Jul11 Oct
21,590Peak Premier in tracked matches
19Days played since 2026-07-27

Premier CS Rating

  • 4,343 below peak (21,373)
  • -1,727 over 30 days · declining
  • -390 over 90 days
  • Next: Pink band at 20,000 — 2,970 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,259), 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.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate34.4%41.8%42.7%8.3% short
Shot accuracy18.2%12.2%11.3%above
Kill/death ratio0.960.980.990.03 short
Match win rate44.8%43.3%43.9%above

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGhostFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,030 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim43
Positioning37
Utility62

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLLLLWLLLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · −40ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 709ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 657ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 677ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim4.3
Utility6.2
Positioning3.7
Opening Duels0.7

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 73% 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. 688ms 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

Aim4.3
Positioning3.7
Utility6.2
Mechanics6.1
Opening Duels0.9
Win Impact0.0

Composite 4.0/10 (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-0.03−0.08
first ⅓ avg 0.06 → last ⅓ avg -0.03
Reaction time691ms+101ms
first ⅓ avg 590ms → last ⅓ avg 691ms
Headshot accuracy10.8%−9.6%
first ⅓ avg 20.4% → last ⅓ avg 10.8%

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

0.17Best match rating · 9–13 · dust2, 3 Aug →
45%Best headshot accuracy · 9–4 · inferno, 27 Jul →
469msFastest reaction time · 15–15 · mirage, 2 Aug →
13–2Biggest win · mirage, 4 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
4–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 65% over 17ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC238–1535%-0.01
dust2D196–1332%0.03
cacheC188–1044%0.01
infernoS1711–665%0.03
ancientD103–730%-0.00
nukeC73–443%0.02
overpass—32–167%-0.02
vertigo—20–20%-0.00
anubis—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,142Lifetime kills
0.96K/D
5,275Matches
44.8%Match win rate · Top 50% of Level 3 players
34.4%Headshot %
18.2%Shot accuracy · Top 10% of Level 3 players
13,276MVPs
2,669Hours (in match)
6,337Bombs planted
1,444Bombs defused

Most-used weapons

AK-4736,346
FAMAS3,664
P2503,211
Tec-93,082
AWP2,625

Lifetime map wins

17,600dust2
7,176inferno
1,115nuke
810train
362cbble
199vertigo
15office
10italy

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

Faceit stats

Combat

654Matches
49%Win rate
1.10Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

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.

10.6%Headshot accuracy
34.2%Accuracy (enemy spotted)
35.1%Spray accuracy
77.7%Counter-strafing
10.9°Preaim
688msReaction time
31.8%T opening success
35.5%CT opening success
0.65Enemies flashed / flash
5.1%Flash assists
8.22HE damage / grenade
13.59Flashes / 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 10.5856% — below the 15% mark we flag

    Aim Training →
  2. 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 31.7999% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.048%11 Oct →
dust23–130.0114%11 Oct →
cache6–13-0.076%11 Oct →
nuke14–16-0.077%11 Oct →
mirage13–9-0.0415%11 Oct →
mirage9–13-0.0112%11 Oct →
dust29–13-0.0212%10 Oct →
mirage8–130.0110%10 Oct →
mirage5–13-0.0514%10 Oct →
cache5–13-0.0511%10 Oct →
inferno8–13-0.096%10 Oct →
dust29–130.0324%10 Oct →
overpass13–9-0.066%10 Oct →
dust213–90.0218%10 Oct →
dust26–13-0.0113%16 Sept →
dust27–130.0511%29 Aug →
nuke13–80.0110%29 Aug →
overpass9–13-0.039%29 Aug →
dust24–13-0.0014%29 Aug →
inferno13–7-0.057%29 Aug →
inferno4–13-0.0311%15 Aug →
dust213–8-0.028%15 Aug →
nuke5–13-0.0312%15 Aug →
mirage5–13-0.0512%15 Aug →
inferno13–4-0.020%15 Aug →
dust211–130.015%12 Aug →
cache13–6-0.0312%12 Aug →
ancient3–13-0.068%10 Aug →
mirage3–13-0.155%10 Aug →
cache13–7-0.0319%10 Aug →
cache10–13-0.027%10 Aug →
mirage8–13-0.0318%10 Aug →
inferno13–5-0.0213%10 Aug →
ancient5–13-0.022%10 Aug →
dust212–12-0.0712%10 Aug →
cache0–6-0.1013%8 Aug →
mirage5–130.0017%8 Aug →
mirage8–13-0.0813%6 Aug →
inferno13–5-0.015%6 Aug →
mirage4–13-0.0920%6 Aug →
vertigo8–13-0.047%6 Aug →
cache8–13-0.0115%6 Aug →
dust28–130.015%5 Aug →
mirage13–90.0312%5 Aug →
inferno13–80.0711%5 Aug →
cache13–60.0815%5 Aug →
ancient12–12-0.035%5 Aug →
overpass13–100.0212%5 Aug →
inferno10–13-0.0114%4 Aug →
ancient8–130.017%4 Aug →
inferno13–40.0110%4 Aug →
cache8–13-0.015%4 Aug →
mirage13–2-0.0211%4 Aug →
dust25–13-0.0311%4 Aug →
mirage9–13-0.038%3 Aug →
cache12–120.0722%3 Aug →
dust29–130.1727%3 Aug →
inferno13–40.0819%3 Aug →
vertigo5–130.0313%3 Aug →
cache13–90.1124%3 Aug →
mirage5–13-0.0225%2 Aug →
nuke13–3-0.0321%2 Aug →
ancient13–110.0424%2 Aug →
mirage15–150.0021%2 Aug →
cache16–140.0324%2 Aug →
mirage13–3-0.0123%2 Aug →
ancient9–130.0210%2 Aug →
mirage14–160.0221%2 Aug →
inferno9–130.0717%2 Aug →
inferno13–110.0525%1 Aug →
mirage13–100.059%1 Aug →
nuke9–130.0233%1 Aug →
dust211–130.0418%1 Aug →
mirage9–130.0516%1 Aug →
cache7–130.0214%1 Aug →
inferno13–20.1221%1 Aug →
ancient3–13-0.0336%31 Jul →
mirage4–00.0220%31 Jul →
inferno6–13-0.0110%31 Jul →
nuke8–00.1241%31 Jul →
cache13–80.0120%31 Jul →
dust29–130.0616%31 Jul →
mirage4–130.0613%31 Jul →
cache13–80.0717%31 Jul →
cache13–110.0813%30 Jul →
dust213–100.1217%30 Jul →
anubis13–70.0419%30 Jul →
mirage13–80.0514%30 Jul →
cache3–130.0517%30 Jul →
dust213–90.0325%29 Jul →
mirage13–50.0715%29 Jul →
ancient13–70.0227%29 Jul →
dust213–100.0616%29 Jul →
dust213–90.1423%28 Jul →
ancient6–13-0.039%28 Jul →
inferno13–30.0629%28 Jul →
ancient13–50.0314%28 Jul →
inferno11–130.0920%27 Jul →
nuke6–90.1525%27 Jul →
inferno9–40.1545%27 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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