foxi

foxi — CS2 Stats

FI76561197982775735[U:1:22510007]Steam profile ↗✓ No bans

2,179Tracked matches41%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating18,597Purple band · top ~14.1% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

−427Premier CS Rating · 19,024 → 18,597
+37Tracked matches · now 2,179
−6.9ppWin rate · 48.3% → 41.4%

Rating over time

Premier CS Rating: 19,024 -2,854 25 Mar – 21 Sept · 29 days played
18,50022,549peak 22,54925 Mar21 Sept
22,907Peak Premier in tracked matches
39Days played since 2026-03-25

Premier CS Rating

  • 3,952 below peak (22,549)
  • -927 over 30 days · declining
  • -1,383 over 90 days
  • Next: Pink band at 20,000 — 1,403 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-21
  • Blue band first seen 2026-09-21

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

Share this profile

CSDB.GGfoxiFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,597 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning63
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateLLLLWLWWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.1pp headshot accuracy · −58ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 602ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

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 (+0.9 against its own average).

Aim5.6
Utility5.4
Positioning6.3
Opening Duels4.9
Clutch4.8

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

device

Plays most like device 77% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 639ms 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

Aim5.6
Positioning6.3
Utility5.4
Mechanics6.0
Opening Duels4.4
Win Impact2.1

Composite 5.3/10 (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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time640ms+30ms
first ⅓ avg 610ms → last ⅓ avg 640ms
Headshot accuracy14.6%+3.0%
first ⅓ avg 11.6% → last ⅓ avg 14.6%

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

0.15Best match rating · 5–13 · inferno, 17 Apr →
30%Best headshot accuracy · 13–5 · ancient, 10 Aug →
438msFastest reaction time · 9–13 · nuke, 13 Sept →
13–0Biggest win · ancient, 6 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
4–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 60% over 10cacheWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC198–1142%0.00
infernoC176–1135%-0.02
dust2B136–746%0.01
anubisB115–645%0.01
mirageB115–645%0.03
ancientB115–645%-0.01
overpassA106–460%-0.02
cacheD70–70%-0.01
poseidon—10–10%-0.14

Across the last 100 tracked matches.

Faceit stats

Combat

1,757Matches
50%Win rate
1.11Avg K/D
89.2ADR
33%Headshot %

Clutches & streaks

44%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1856%1.2215.9
Nuke1377%1.1916.9
Dust21338%1.2917.7
Inferno933%1.1017.4
Vertigo944%1.3322.7
Overpass862%1.1118.4
Cache757%1.1117.7
Anubis560%1.7419.4

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.

14.8%Headshot accuracy
37.9%Accuracy (enemy spotted)
39.9%Spray accuracy
76.9%Counter-strafing
12.8°Preaim
639msReaction time
38.8%T opening success
56.4%CT opening success
0.60Enemies flashed / flash
8.5%Flash assists
11.97HE damage / grenade
4.50Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7875° — above the 12° mark we flag

    Aim Training →
  2. 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 14.8438% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust214–160.0515%6 Oct →
nuke10–130.0219%20 Sept →
nuke9–13-0.0420%13 Sept →
cache7–13-0.0320%10 Sept →
anubis13–40.0612%10 Sept →
inferno6–13-0.0312%3 Sept →
nuke13–8-0.0110%3 Sept →
dust216–14-0.049%17 Aug →
mirage13–100.0711%17 Aug →
cache6–13-0.0221%17 Aug →
inferno11–13-0.0517%12 Aug →
mirage11–130.0412%10 Aug →
cache1–130.0014%10 Aug →
ancient13–50.0130%10 Aug →
inferno16–13-0.0213%10 Aug →
dust26–13-0.0122%30 Jul →
nuke13–70.0021%30 Jul →
dust211–13-0.0314%29 Jul →
anubis5–130.1014%29 Jul →
mirage13–80.0611%28 Jul →
anubis13–10.0211%28 Jul →
dust210–13-0.0111%28 Jul →
inferno13–90.0416%27 Jul →
nuke13–6-0.0019%27 Jul →
ancient6–13-0.036%26 Jul →
dust213–40.1117%26 Jul →
nuke8–130.0218%26 Jul →
mirage5–130.0618%26 Jul →
inferno13–16-0.068%16 Jul →
cache15–150.0214%16 Jul →
ancient13–9-0.096%3 Jul →
nuke9–13-0.0119%3 Jul →
inferno13–80.004%3 Jul →
overpass13–100.0322%26 Jun →
mirage13–11-0.0116%26 Jun →
nuke6–13-0.0412%8 Jun →
mirage15–15-0.006%8 Jun →
poseidon4–9-0.147%7 Jun →
dust24–13-0.0815%6 Jun →
ancient13–00.149%6 Jun →
inferno13–8-0.046%6 Jun →
ancient9–130.0315%5 Jun →
nuke16–13-0.019%5 Jun →
dust213–60.0515%5 Jun →
mirage10–130.029%4 Jun →
dust27–130.0024%4 Jun →
inferno10–13-0.0322%4 Jun →
nuke7–130.0315%3 Jun →
overpass13–3-0.0119%2 Jun →
nuke13–9-0.0618%2 Jun →
overpass13–10-0.049%1 Jun →
ancient6–13-0.0214%1 Jun →
overpass8–13-0.029%28 May →
anubis13–10.0317%28 May →
dust213–80.027%28 May →
mirage8–130.0016%26 May →
nuke7–130.0014%26 May →
overpass13–90.0211%26 May →
nuke3–130.0212%25 May →
anubis15–15-0.0214%25 May →
inferno11–13-0.0615%19 May →
anubis11–13-0.0311%19 May →
inferno5–9-0.1913%19 May →
anubis3–13-0.034%2 May →
nuke2–130.0229%2 May →
cache5–13-0.0413%2 May →
inferno9–130.0113%2 May →
overpass13–16-0.0013%2 May →
ancient8–130.029%2 May →
inferno13–10-0.0012%2 May →
ancient13–9-0.0311%30 Apr →
anubis13–110.0012%30 Apr →
inferno13–40.0012%30 Apr →
cache10–13-0.0121%29 Apr →
inferno6–13-0.0214%29 Apr →
cache12–120.019%29 Apr →
anubis7–13-0.0316%23 Apr →
nuke9–13-0.047%23 Apr →
ancient13–5-0.018%23 Apr →
dust28–13-0.0220%23 Apr →
overpass13–7-0.0115%23 Apr →
mirage13–11-0.0214%18 Apr →
dust213–90.0114%18 Apr →
inferno5–130.1515%17 Apr →
ancient4–13-0.0614%17 Apr →
overpass3–13-0.0615%17 Apr →
dust213–50.069%17 Apr →
nuke13–80.0617%17 Apr →
inferno6–130.0810%17 Apr →
inferno13–16-0.067%13 Apr →
nuke12–16-0.0111%13 Apr →
ancient4–13-0.0211%13 Apr →
overpass9–13-0.075%7 Apr →
anubis16–13-0.0011%7 Apr →
mirage13–100.0514%7 Apr →
nuke7–40.000%7 Apr →
overpass9–6-0.005%30 Mar →
mirage11–130.068%26 Mar →
anubis10–130.0011%25 Mar →
nuke13–90.0814%25 Mar →

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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