.Foxx3y^ ♡

.Foxx3y^ ♡ — CS2 Stats

DE76561198092396160[U:1:132130432]Steam profile ↗✓ No bans

1,123Tracked matches62%Win rate2021Tracked since
2,174Hours in CS
CSDB Rating5.3 DevelopingPositional Player
CSDB Leaderboard#35785 of 250113 tracked
FaceitLevel 9 · 1,921 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 23,546 +6,841 20 Oct – 24 Oct · 19 days played
14,57623,546peak 23,54620 Oct24 Oct
23,546Peak Premier in tracked matches
1,921Highest Faceit ELO seen on CSDB
41Days played since 2024-10-20

Faceit ELO

  • At peak — 1,921
  • Next: Level 10 at 2,001 — 80 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate40.6%48.2%50.9%10.4% short
Shot accuracy16.7%13.3%13.8%above
Kill/death ratio1.051.071.090.04 short
Match win rate44.8%46.9%48.4%3.6% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG.Foxx3y^ ♡FACEITLevel 9 · 1,921 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,921csdb.gg/stats

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Performance scores

Aim77
Positioning42
Utility9

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateWLWLTLLWLW

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · −82ms reaction

Win rate down 50pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 500ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 513ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 554ms

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 (+1.7 against its own average).

Aim7.7
Utility0.9
Positioning4.2
Opening Duels2.6
Clutch2.2

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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Reaction time. 601ms 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

Aim7.7
Positioning4.2
Utility0.9
Mechanics8.0
Opening Duels2.3
Win Impact9.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time571ms−11ms
first ⅓ avg 582ms → last ⅓ avg 571ms
Headshot accuracy20.0%−3.7%
first ⅓ avg 23.7% → last ⅓ avg 20.0%

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

0.19Best match rating · 9–0 · inferno, 14 Jul →
42%Best headshot accuracy · 13–3 · inferno, 2 Apr →
391msFastest reaction time · 9–4 · overpass, 18 Oct →
13–0Biggest win · train, 4 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 89% over 9mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC219–1243%0.01
ancientD134–931%-0.01
nukeS139–469%0.03
vertigoB105–550%0.03
overpassB105–550%-0.02
dust2S98–189%0.00
mirageD82–625%-0.00
trainS76–186%-0.00
anubisB63–350%0.01
agency—11–0100%0.01
palacio—11–0100%-0.06
grail—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,049Lifetime kills
1.05K/D
5,174Matches
44.8%Match win rate
40.6%Headshot %
16.7%Shot accuracy · Top 25% of Level 9 players
13,321MVPs
2,174Hours (in match)
6,512Bombs planted
1,764Bombs defused

Most-used weapons

AK-4725,524
AWP12,137
Molotov5,556
Knife3,339
Negev2,686
SSG 082,619

Lifetime map wins

10,722inferno
5,188dust2
3,949nuke
3,337cbble
2,704vertigo
1,561train
1,343lake
377militia

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

Faceit stats

Combat

654Matches
52%Win rate
0.94Avg K/D
73.4ADR
42%Headshot %

Clutches & streaks

31%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22442%0.7412.8
Inferno2365%0.9913.5
Overpass1968%1.2314.6
Nuke1457%1.0914.6
Train967%1.0016.1
Ancient850%1.2418.8
Mirage757%1.0611.6
Vertigo30%0.5610.3

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.

19.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
37.9%Spray accuracy
85.8%Counter-strafing
8.8°Preaim
601msReaction time
41.5%T opening success
37.0%CT opening success
0.23Enemies flashed / flash
2.7%Flash assists
10.01HE damage / grenade
1.82Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2315 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.9835% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–00.1921%14 Jul →
anubis9–13-0.0617%2 Apr →
inferno13–30.1042%2 Apr →
ancient9–13-0.1119%1 Apr →
vertigo8–80.1533%25 Oct →
inferno2–9-0.1214%25 Oct →
inferno4–13-0.0512%25 Oct →
nuke13–70.0119%24 Oct →
overpass7–13-0.0317%24 Oct →
overpass9–40.096%18 Oct →
overpass9–40.0520%18 Oct →
overpass9–30.0527%18 Oct →
overpass6–13-0.0514%17 Oct →
dust213–50.0419%12 Oct →
train13–8-0.0118%11 Oct →
inferno13–9-0.0427%10 Oct →
nuke13–20.057%10 Oct →
train13–100.0212%9 Oct →
dust213–50.0927%9 Oct →
vertigo13–100.0325%8 Oct →
vertigo9–13-0.0522%8 Oct →
train12–12-0.0222%7 Oct →
ancient13–60.0219%7 Oct →
agency13–100.0125%5 Oct →
overpass13–20.0223%4 Oct →
overpass13–50.0223%4 Oct →
train7–00.0123%4 Oct →
nuke5–13-0.0521%4 Oct →
train13–0-0.0211%4 Oct →
train10–00.0325%4 Oct →
nuke4–13-0.0613%2 Oct →
palacio13–11-0.0623%2 Oct →
ancient4–13-0.0117%2 Oct →
mirage5–13-0.0421%2 Oct →
overpass14–16-0.0421%30 Sept →
ancient13–9-0.0312%30 Sept →
inferno13–11-0.0419%25 Sept →
dust213–7-0.0231%12 Aug →
grail10–13-0.0215%13 May →
anubis13–5-0.0324%22 Mar →
ancient16–140.0224%22 Mar →
inferno11–13-0.0113%22 Mar →
nuke13–110.0514%21 Mar →
inferno13–110.0110%21 Mar →
mirage5–13-0.0313%16 Mar →
mirage13–60.1123%16 Mar →
anubis8–13-0.0027%12 Mar →
inferno10–13-0.049%12 Mar →
inferno6–130.0126%7 Mar →
mirage11–13-0.0125%7 Mar →
nuke9–130.0723%7 Mar →
mirage11–13-0.0621%26 Feb →
ancient12–16-0.0516%26 Feb →
mirage13–80.0521%25 Feb →
inferno13–90.0522%24 Feb →
train13–8-0.0118%24 Feb →
inferno15–15-0.0125%24 Feb →
nuke10–13-0.0316%24 Feb →
dust213–7-0.0214%23 Feb →
mirage8–13-0.0515%23 Feb →
dust213–70.0132%23 Feb →
mirage15–15-0.0133%23 Feb →
inferno9–13-0.0315%23 Feb →
dust213–100.0426%23 Feb →
nuke13–80.0320%23 Feb →
ancient11–13-0.0113%23 Feb →
dust213–8-0.0125%21 Feb →
ancient7–130.0317%2 Dec →
vertigo13–90.0816%2 Dec →
anubis8–13-0.0021%1 Dec →
vertigo13–70.1134%1 Dec →
inferno6–130.0732%29 Nov →
nuke13–110.0116%29 Nov →
inferno13–40.0919%27 Nov →
vertigo9–13-0.0321%27 Nov →
anubis13–20.1226%25 Nov →
overpass8–8-0.0318%18 Nov →
ancient11–130.0315%3 Nov →
nuke13–50.1524%3 Nov →
inferno7–130.0620%26 Oct →
vertigo13–60.0640%26 Oct →
inferno8–130.0526%26 Oct →
ancient11–130.0238%26 Oct →
inferno15–15-0.0329%25 Oct →
anubis13–40.0117%25 Oct →
inferno13–9-0.0123%25 Oct →
dust29–13-0.0527%21 Oct →
vertigo13–10.0922%21 Oct →
ancient11–13-0.0731%21 Oct →
vertigo3–13-0.1120%21 Oct →
vertigo9–130.0212%21 Oct →
ancient8–13-0.0520%21 Oct →
inferno16–120.0018%20 Oct →
nuke13–80.1626%20 Oct →
nuke9–6-0.0132%20 Oct →
overpass0–9-0.2610%20 Oct →
inferno8–80.0141%20 Oct →
nuke9–40.0227%20 Oct →
ancient13–30.0815%20 Oct →
dust213–8-0.0529%20 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.