xXFabsterXx

xXFabsterXx — CS2 Stats

DE76561198024242282[U:1:63976554]Steam profile ↗✓ No bans

3,661Tracked matches64%Win rate2020Tracked since
4,673Hours in CS7Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating19,241Top 50% of 212,910 CSDB-tracked playersPurple band · top ~11.5% of ranked players (population est.)
CSDB Leaderboard#96179 of 259629 tracked
FaceitLevel 7 · 1,403 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (10 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: 19,241 +4,137 21 Jul – 24 Oct · 22 days played
15,10420,121peak 20,12121 Jul24 Oct
20,121Peak Premier in tracked matches
1,403Highest Faceit ELO seen on CSDB
33Days played since 2026-07-16

Faceit ELO

  • At peak — 1,403
  • Next: Level 8 at 1,531 — 128 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

Premier CS Rating

  • 880 below peak (20,121)
  • +4,010 over 90 days
  • Next: Pink band at 20,000 — 759 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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 rate40.0%45.7%46.8%6.8% short
Shot accuracy12.6%12.7%13.0%0.4% short
Kill/death ratio1.091.051.06above
Match win rate45.7%45.7%46.3%meets

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

Widest gap: Headshot rate. 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.GGxXFabsterXxFACEITLevel 7 · 1,403 ELOSTANDINGTop 42.3% of rankedPREMIER19,241 · Purple bandPEAK ELO1,403csdb.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

Aim65
Positioning52
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateTWWLWWLTWL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −5.0pp headshot accuracy · +47ms reaction

Win rate 0pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 600ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 613ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 590ms

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 (+1.3 against its own average).

Aim6.5
Utility3.3
Positioning5.2
Opening Duels3.5
Clutch3.8

Limited 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 92% 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

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 51% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim6.5
Positioning5.2
Utility3.3
Mechanics4.6
Opening Duels3.2
Win Impact9.8

Composite 5.5/10 (Solid), 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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time595ms−84ms
first ⅓ avg 679ms → last ⅓ avg 595ms
Headshot accuracy19.9%+4.0%
first ⅓ avg 15.9% → last ⅓ avg 19.9%

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 · 13–9 · nuke, 27 Aug →
32%Best headshot accuracy · 13–9 · nuke, 27 Aug →
469msFastest reaction time · 13–11 · ancient, 2 Sept →
13–2Biggest win · anubis, 24 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 65% over 17anubisWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S1711–665%0.02
infernoB168–850%-0.01
cacheB157–847%0.00
mirageA148–657%-0.00
ancientB137–654%0.01
anubisC125–742%-0.01
nukeB63–350%0.04
shelter—31–233%-0.00
train—20–20%0.04
boulder—10–10%-0.08
vertigo—11–0100%0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,873Lifetime kills
1.09K/D · Top 50% of Level 7 players
5,826Matches
45.7%Match win rate · Top 50% of Level 7 players
40.0%Headshot %
12.6%Shot accuracy
13,135MVPs
2,572Hours (in match)
6,150Bombs planted
1,267Bombs defused

Most-used weapons

AK-4739,805
Tec-94,333
P2504,118
MAC-103,171
MP92,927
FAMAS2,669

Lifetime map wins

13,103inferno
7,196dust2
2,715nuke
1,658vertigo
961train
427cbble
362office
96safehouse

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

Faceit stats

Combat

871Matches
50%Win rate
1.07Avg K/D
76.6ADR
36%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12249%0.9514.6
Inferno9653%1.0315.4
Anubis9053%1.1015.7
Ancient5740%0.9815.6
Dust23842%0.9014.4
Overpass1867%0.9215.1
Nuke956%0.9416.9
Train683%0.8213.2

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.

19.9%Headshot accuracy
36.6%Accuracy (enemy spotted)
35.5%Spray accuracy
70.7%Counter-strafing
10.4°Preaim
594msReaction time
34.3%T opening success
51.3%CT opening success
0.53Enemies flashed / flash
2.8%Flash assists
4.12HE damage / grenade
3.44Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4365 — below the 4 mark we flag

    Grenade Lineups →
  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 34.2621% — below the 40% mark we flag

Spend your practice time on Anubis

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–8-0.0031%1 Nov →
mirage13–90.0016%1 Nov →
cache13–110.0223%31 Oct →
dust211–130.1319%31 Oct →
mirage13–10-0.0512%24 Oct →
anubis13–20.0212%24 Oct →
cache4–13-0.0619%24 Oct →
dust212–120.0121%22 Oct →
dust213–80.0519%18 Oct →
mirage9–130.0015%18 Oct →
mirage13–50.0423%17 Oct →
ancient13–110.0615%2 Sept →
cache11–13-0.0216%2 Sept →
anubis9–130.0329%31 Aug →
anubis10–13-0.0321%29 Aug →
dust210–13-0.0127%29 Aug →
inferno13–110.0326%29 Aug →
dust213–100.1119%27 Aug →
cache12–120.0528%27 Aug →
nuke13–90.1432%27 Aug →
nuke13–50.0327%27 Aug →
inferno13–6-0.0210%26 Aug →
dust213–90.1124%26 Aug →
ancient10–130.0117%26 Aug →
dust213–90.0631%26 Aug →
anubis13–110.0119%25 Aug →
inferno13–90.0318%25 Aug →
inferno11–13-0.0113%23 Aug →
mirage4–13-0.047%23 Aug →
cache13–110.0813%23 Aug →
anubis13–50.0325%22 Aug →
mirage13–40.0620%22 Aug →
ancient9–13-0.108%22 Aug →
inferno8–130.0321%20 Aug →
ancient13–90.0013%20 Aug →
ancient11–130.0525%20 Aug →
mirage16–14-0.0413%17 Aug →
dust213–9-0.0025%17 Aug →
cache13–20.0012%17 Aug →
dust213–10-0.0511%17 Aug →
dust211–13-0.0615%14 Aug →
ancient13–10-0.0220%14 Aug →
nuke6–130.0115%14 Aug →
dust213–5-0.0115%12 Aug →
nuke10–13-0.0514%12 Aug →
ancient13–110.0315%12 Aug →
mirage10–13-0.0114%11 Aug →
ancient11–130.0113%11 Aug →
inferno13–6-0.0113%11 Aug →
dust213–6-0.0116%9 Aug →
train12–120.0211%9 Aug →
cache3–13-0.0122%9 Aug →
anubis6–13-0.057%9 Aug →
shelter3–13-0.0413%7 Aug →
boulder6–13-0.0810%7 Aug →
train4–130.0517%7 Aug →
shelter13–60.0721%7 Aug →
vertigo13–100.0911%7 Aug →
inferno11–130.0219%6 Aug →
inferno13–70.0312%6 Aug →
cache13–110.0313%6 Aug →
inferno6–13-0.066%6 Aug →
nuke9–40.1119%4 Aug →
mirage5–13-0.0513%4 Aug →
anubis9–130.0223%4 Aug →
anubis2–13-0.099%4 Aug →
cache13–9-0.0015%2 Aug →
cache13–30.0628%2 Aug →
mirage13–90.079%2 Aug →
mirage16–130.0313%1 Aug →
anubis4–13-0.0216%1 Aug →
inferno13–6-0.0114%1 Aug →
ancient1–130.0019%1 Aug →
shelter12–12-0.0318%31 Jul →
cache9–130.0220%31 Jul →
inferno10–130.0215%31 Jul →
mirage7–13-0.0423%31 Jul →
cache9–13-0.064%29 Jul →
ancient13–60.0222%29 Jul →
anubis13–90.0419%29 Jul →
dust213–80.0415%28 Jul →
cache16–13-0.0014%27 Jul →
dust27–13-0.0418%27 Jul →
ancient7–130.0116%26 Jul →
inferno5–13-0.0125%26 Jul →
nuke6–130.0126%26 Jul →
dust213–9-0.036%26 Jul →
inferno16–13-0.0512%21 Jul →
inferno13–7-0.063%21 Jul →
cache6–13-0.0016%21 Jul →
mirage13–70.0113%21 Jul →
anubis13–5-0.029%21 Jul →
anubis8–13-0.0726%17 Jul →
mirage7–13-0.0413%17 Jul →
ancient16–120.0314%17 Jul →
inferno7–13-0.0719%17 Jul →
dust213–90.0114%16 Jul →
cache6–13-0.0318%16 Jul →
dust215–15-0.0414%16 Jul →
ancient16–13-0.0315%16 Jul →

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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