Fox

Fox — CS2 Stats

SC76561197983674568[U:1:23408840]Steam profile ↗✓ No bans

2,933Tracked matches68%Win rate2020Tracked since
3,479Hours in CS
CSDB Rating6.4 SolidAll-Rounder
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,933 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 8 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,525 +687 8 May4 Jul · 13 days played
22,83824,733peak 24,7338 May4 Jul
Faceit ELO: 2,133 +0 3 Sept17 Sept · 3 observations
2,1332,133peak 2,1333 Sept17 Sept
24,733Peak Premier in tracked matches
2,133Highest Faceit ELO seen on CSDB
26Days played since 2026-05-08

Faceit ELO

  • At peak — 2,133
  • Next: 2,500 ELO at 2,500 367 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 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.

Compare periods

Last 7 days vs previous 7

No matches recorded between 13 Sep 2026 and 20 Sep 2026.

Measured 13 Sep 202620 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGFoxPEAK ELO2,133csdb.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

Aim73
Positioning53
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY58348Last 10058%Win rateWWLLLWLWLW

Last 10 vs previous 10: −40pp win rate · +0.03 avg rating · +6.0pp headshot accuracy · −24ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 675ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 586ms

Last 20

  • 146 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 598ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim7.3
Utility5.4
Positioning5.3
Opening Duels3.8
Clutch4.0

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

jL

Plays most like jL 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 580ms 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

Aim7.3
Positioning5.3
Utility5.4
Mechanics7.0
Opening Duels2.6
Win Impact10.0

Composite 6.4/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time581ms+13ms
first ⅓ avg 568ms → last ⅓ avg 581ms
Headshot accuracy18.7%−0.9%
first ⅓ avg 19.6% → last ⅓ avg 18.7%

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 · 13–7 · nuke, 10 Jun
39%Best headshot accuracy · 10–13 · cache, 18 May
391msFastest reaction time · 3–13 · cache, 19 May
13–1Biggest win · cache, 14 May

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
34In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 75% over 8anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheA49311863%0.01
nukeA95456%0.05
infernoD92722%-0.01
ancientS86275%0.01
anubisD61517%0.02
vertigoA53260%0.03
mirageC52340%-0.04
dust243175%-0.03
overpass220100%0.00
shelter110100%0.06
fachwerk110100%0.03
alpine110100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,425Lifetime kills
0.98K/D
7,978Matches
44.6%Match win rate
42.1%Headshot %
15.6%Shot accuracy · Top 25% of tracked players
19,324MVPs
3,479Hours (in match)
13,002Bombs planted
1,796Bombs defused

Most-used weapons

AK-4746,643
AWP6,134
MP94,592
AUG4,591
MAC-104,448
MP73,230

Lifetime map wins

15,184inferno
8,617dust2
8,307nuke
5,696vertigo
2,453train
935cbble
245office
241lake

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

Faceit stats

Combat

2,035Matches
51%Win rate
1.02Avg K/D
77.0ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient10850%1.0916.2
Inferno8454%1.0814.5
Nuke5654%1.2716.2
Mirage5235%0.8913.6
Dust24335%0.8512.5
Anubis3861%1.1314.1
Train2162%1.1617.4
Vertigo1457%1.1016.5

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.

18.5%Headshot accuracy
35.1%Accuracy (enemy spotted)
43.3%Spray accuracy
81.3%Counter-strafing
11.3°Preaim
580msReaction time
35.3%T opening success
45.3%CT opening success
0.50Enemies flashed / flash
10.2%Flash assists
11.55HE damage / grenade
6.33Flashes / 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

    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 35.34% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
shelter13–70.0631%4 Aug
nuke13–80.1324%1 Aug
nuke11–13-0.0017%1 Aug
dust28–13-0.0624%1 Aug
inferno7–130.0112%1 Aug
cache13–40.0722%29 Jul
inferno11–13-0.0117%29 Jul
vertigo13–60.0920%29 Jul
cache2–13-0.0929%28 Jul
nuke13–80.1022%28 Jul
cache13–6-0.0015%28 Jul
cache16–130.079%28 Jul
anubis13–80.0014%28 Jul
cache13–70.0018%21 Jul
cache13–8-0.0210%21 Jul
cache13–50.0222%21 Jul
cache13–11-0.0512%20 Jul
inferno5–13-0.075%20 Jul
ancient13–8-0.0120%20 Jul
fachwerk13–20.0333%20 Jul
cache13–90.0416%20 Jul
mirage7–13-0.0322%17 Jul
cache13–110.0719%4 Jul
cache13–3-0.0030%4 Jul
nuke8–13-0.0023%4 Jul
cache13–8-0.0319%4 Jul
anubis15–150.017%23 Jun
ancient12–30.0122%23 Jun
cache12–12-0.0224%23 Jun
anubis12–160.0918%22 Jun
nuke13–60.0324%22 Jun
cache12–120.037%22 Jun
cache3–13-0.0113%22 Jun
cache11–13-0.0311%15 Jun
vertigo7–13-0.0114%15 Jun
cache13–70.0214%15 Jun
cache13–9-0.0512%15 Jun
anubis5–9-0.0314%10 Jun
overpass13–90.0121%10 Jun
nuke13–70.1423%10 Jun
cache10–13-0.0524%5 Jun
overpass13–8-0.0116%2 Jun
vertigo12–120.0214%2 Jun
alpine3–0-0.0233%2 Jun
cache13–9-0.0118%2 Jun
ancient8–13-0.0211%1 Jun
nuke10–130.0126%1 Jun
vertigo13–80.0212%1 Jun
cache13–110.0314%1 Jun
cache13–40.0419%1 Jun
ancient6–100.0112%30 May
cache12–12-0.0511%30 May
cache13–80.0114%30 May
cache1–13-0.079%30 May
inferno13–80.0517%29 May
dust216–12-0.0513%29 May
mirage13–9-0.0512%29 May
dust213–9-0.0513%29 May
ancient13–20.0111%28 May
inferno7–13-0.0311%28 May
inferno11–13-0.0118%25 May
ancient13–9-0.029%25 May
cache12–12-0.0311%22 May
anubis8–130.0628%22 May
mirage2–13-0.0611%22 May
dust213–60.0432%22 May
cache13–20.0832%22 May
cache6–130.0211%21 May
cache13–100.0014%21 May
cache7–13-0.0116%21 May
cache12–120.0514%21 May
cache13–70.0332%21 May
cache12–120.0123%19 May
cache3–13-0.0138%19 May
cache10–13-0.0439%18 May
cache13–40.0620%18 May
cache13–90.0224%18 May
cache13–60.0521%18 May
inferno8–13-0.0122%18 May
mirage13–20.0625%18 May
cache13–80.0523%18 May
cache9–13-0.0119%18 May
cache13–70.0116%14 May
vertigo13–80.0116%14 May
cache9–130.0122%14 May
cache13–10.0519%14 May
cache9–130.0322%12 May
cache13–10-0.0123%12 May
cache13–20.0022%12 May
nuke13–100.0419%12 May
mirage1–13-0.1116%12 May
inferno13–100.0513%12 May
ancient13–60.0425%12 May
cache13–70.0814%12 May
cache13–7-0.019%12 May
inferno4–13-0.0416%8 May
ancient13–100.0919%8 May
cache13–10-0.087%8 May
anubis5–13-0.0216%8 May
nuke5–13-0.0212%8 May

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →