ghosted (abroad for uni)

ghosted (abroad for uni) — CS2 Stats

SA76561198955797689[U:1:995531961]Steam profile ↗✓ No bans

3,080Tracked matches48%Win rate2020Tracked since
5,472Hours in CS14Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
Premier CS Rating16,457Purple band · top ~22.6% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 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: 16,457 -2,678 30 Aug – 3 Nov · 18 days played
16,03919,135peak 19,13530 Aug3 Nov
19,135Peak Premier in tracked matches
33Days played since 2026-08-30

Premier CS Rating

  • 2,678 below peak (19,135)
  • +102 over 30 days · steady
  • Next: Pink band at 20,000 — 3,543 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate51.4%45.7%46.8%above
Shot accuracy17.2%12.7%13.0%above
Kill/death ratio0.971.051.060.09 short
Match win rate43.2%45.7%46.3%3.1% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGghosted (abroad for uni)FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER16,457 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning66
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLLLWLLWWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.8pp headshot accuracy · −64ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 29%
  • Avg reaction 524ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 555ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 587ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim8.8
Utility4.5
Positioning6.6
Opening Duels5.0
Clutch2.8

Sharp aimerExcellent counter-strafingLimited 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.

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

donk

Plays most like donk 96% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

Reaction time. 578ms 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

Aim8.8
Positioning6.6
Utility4.5
Mechanics9.1
Opening Duels6.8
Win Impact4.4

Composite 7.1/10 (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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time587ms−32ms
first ⅓ avg 619ms → last ⅓ avg 587ms
Headshot accuracy23.0%+3.5%
first ⅓ avg 19.6% → last ⅓ avg 23.0%

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 · 13–11 · dust2, 29 Oct →
45%Best headshot accuracy · 13–9 · inferno, 16 Oct →
375msFastest reaction time · 13–4 · mirage, 13 Oct →
13–1Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
11–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 52% over 21ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3212–2038%0.00
dust2B2111–1052%0.01
nukeB189–950%-0.00
infernoC135–838%-0.03
ancientD72–529%-0.02
cacheD62–433%0.03
vertigo—21–150%-0.04
anubis—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

181,110Lifetime kills
0.97K/D
6,811Matches
43.2%Match win rate
51.4%Headshot % · Top 25% of Level 7 players
17.2%Shot accuracy · Top 25% of Level 7 players
25,873MVPs
4,403Hours (in match)
4,269Bombs planted
3,210Bombs defused

Most-used weapons

AK-4764,058
AWP27,489
Glock-1810,135
MP92,836
FAMAS2,449
SSG 081,768

Lifetime map wins

12,675dust2
11,708inferno
6,081nuke
5,285train
3,181vertigo
403office
340cbble
229lake

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

Faceit stats

Combat

538Matches
50%Win rate
1.16Avg K/D
81.8ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage14253%1.2718.3
Dust29455%1.1817.1
Nuke4854%1.1918.1
Inferno3244%1.1016.3
Ancient3132%0.9415.4
Anubis2335%0.9915.8
Cache1953%1.1016.4
Vertigo425%1.4114.8

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.

23.3%Headshot accuracy
37.2%Accuracy (enemy spotted)
38.3%Spray accuracy
91.1%Counter-strafing
8.4°Preaim
578msReaction time
58.4%T opening success
56.1%CT opening success
0.57Enemies flashed / flash
9.0%Flash assists
10.34HE damage / grenade
4.79Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0515%3 Nov →
inferno6–13-0.0638%3 Nov →
mirage10–130.0633%2 Nov →
dust213–100.0632%1 Nov →
cache11–130.0228%1 Nov →
cache20–22-0.0412%30 Oct →
dust216–130.0519%30 Oct →
dust213–110.1418%29 Oct →
nuke13–70.0335%29 Oct →
nuke11–130.0222%29 Oct →
mirage13–160.0027%28 Oct →
nuke13–50.0224%28 Oct →
dust28–130.0224%27 Oct →
nuke10–130.0313%27 Oct →
inferno7–13-0.0917%27 Oct →
ancient8–13-0.0418%27 Oct →
dust27–130.0129%27 Oct →
mirage6–130.0418%27 Oct →
dust213–110.0034%27 Oct →
nuke13–11-0.0230%27 Oct →
dust216–13-0.0225%27 Oct →
inferno10–13-0.0220%26 Oct →
mirage13–11-0.0425%26 Oct →
dust27–130.0033%26 Oct →
inferno13–90.0421%26 Oct →
ancient13–40.0228%26 Oct →
dust212–120.0722%24 Oct →
anubis13–110.0517%24 Oct →
cache13–60.0615%24 Oct →
dust213–110.0319%24 Oct →
ancient10–13-0.0019%24 Oct →
mirage15–15-0.0114%23 Oct →
nuke8–13-0.0117%23 Oct →
dust213–70.0021%23 Oct →
cache15–150.0420%23 Oct →
mirage13–20.1115%23 Oct →
inferno13–100.0212%23 Oct →
mirage0–130.0124%23 Oct →
dust213–90.0123%22 Oct →
inferno13–6-0.0627%21 Oct →
mirage6–130.0417%21 Oct →
nuke9–13-0.0116%20 Oct →
mirage13–10-0.0412%20 Oct →
nuke13–10-0.0324%20 Oct →
mirage11–13-0.0217%19 Oct →
inferno7–13-0.107%18 Oct →
ancient11–13-0.0713%17 Oct →
dust29–130.0223%17 Oct →
mirage13–11-0.0627%17 Oct →
ancient7–13-0.0317%16 Oct →
nuke13–3-0.0723%16 Oct →
dust213–1-0.023%16 Oct →
inferno13–90.0045%16 Oct →
mirage6–13-0.0229%14 Oct →
mirage14–16-0.0116%14 Oct →
ancient8–130.0229%14 Oct →
mirage13–7-0.0215%14 Oct →
inferno4–13-0.0424%14 Oct →
nuke12–16-0.0216%14 Oct →
mirage13–40.1013%13 Oct →
nuke13–5-0.0322%13 Oct →
mirage13–80.0517%13 Oct →
ancient13–6-0.0126%12 Oct →
mirage13–6-0.0018%11 Oct →
cache13–110.0825%10 Oct →
mirage13–11-0.0318%10 Oct →
nuke13–70.0129%10 Oct →
mirage11–13-0.0619%9 Oct →
nuke5–13-0.0338%9 Oct →
cache4–130.0229%9 Oct →
dust27–13-0.0112%9 Oct →
nuke13–50.0929%9 Oct →
vertigo7–9-0.1223%8 Oct →
vertigo9–40.0413%8 Oct →
inferno9–7-0.018%8 Oct →
nuke8–8-0.0424%8 Oct →
inferno4–13-0.019%7 Oct →
mirage11–13-0.0619%7 Oct →
nuke20–22-0.0120%7 Oct →
nuke13–40.0242%7 Oct →
dust213–5-0.0419%7 Oct →
mirage11–130.0616%7 Oct →
mirage13–10-0.0413%7 Oct →
mirage11–130.1317%5 Oct →
mirage13–11-0.0210%5 Oct →
mirage14–16-0.0211%5 Oct →
dust210–13-0.0622%5 Oct →
dust29–130.0114%5 Oct →
dust210–130.0018%4 Oct →
dust213–70.0523%4 Oct →
nuke10–13-0.0210%4 Oct →
mirage9–130.0538%3 Oct →
mirage19–22-0.0118%3 Oct →
mirage13–80.0017%2 Oct →
dust23–13-0.0423%2 Oct →
mirage4–13-0.0915%1 Oct →
mirage12–12-0.0317%28 Sept →
inferno15–150.0421%27 Sept →
mirage3–13-0.0411%26 Sept →
mirage5–130.0530%26 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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