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foxmaa

foxmaa — CS2 Stats

76561198420868439[U:1:460602711]Steam profile ↗✓ No bans

1,119Tracked matches43%Win rate2024Tracked since
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating23,024Top 50% of 819 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#4676 of 17921 tracked
FaceitLevel 8 · 1,524 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGfoxmaaFACEITLevel 8 · 1,524 ELOSTANDINGTop 31.2% of rankedPREMIER23,024 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning45
Utility60

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateLLWLLLLLWL

Last 10 vs previous 10: -50pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.0
Aggression5.3
Utility6.0
Positioning4.5
Opening Duels2.4
Clutch3.8

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning 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

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

T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim8.0
Positioning4.5
Utility6.0
Mechanics7.6
Opening Duels2.4
Win Impact2.8

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time607ms−19ms
first ⅓ avg 626ms → last ⅓ avg 607ms
Headshot accuracy20.2%−0.5%
first ⅓ avg 20.7% → last ⅓ avg 20.2%

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.

Highlights

0.16Best rating — mirage 13–3
13–1Biggest win — dust2
5Longest win streak
L2Current streak
7–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 64% over 28infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2818–1064%-0.02
mirageC2711–1641%-0.02
ancientB179–853%0.00
infernoC114–736%-0.02
anubisB105–550%-0.03
nukeA53–260%-0.02
cache—10–10%-0.08
overpass—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

581Matches
52%Win rate
0.86Avg K/D
65.7ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
12%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage18454%0.8512.7
Dust212654%1.0013.8
Ancient10453%0.7812.3
Inferno7247%0.7912.3
Anubis6151%0.8712.6
Cache1242%0.7513.8
Overpass944%0.7511.4
Nuke838%0.7712.8

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.

20.7%Headshot accuracy
36.5%Accuracy (enemy spotted)
40.4%Spray accuracy
84.1%Counter-strafing
9.1°Preaim
611msReaction time
30.3%T opening success
49.1%CT opening success
0.56Enemies flashed / flash
4.2%Flash assists
9.91HE damage / grenade
15.26Flashes / 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 30.2714% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–130.0314%23 Aug →
ancient9–13-0.0513%19 Aug →
anubis13–10-0.0210%16 Aug →
dust214–16-0.0117%16 Aug →
dust216–19-0.0119%15 Aug →
ancient13–16-0.0723%14 Aug →
inferno19–22-0.027%13 Aug →
dust211–13-0.0328%15 Jul →
dust219–15-0.0729%1 Jul →
mirage4–13-0.0333%28 Jun →
ancient13–6-0.0338%25 Jun →
ancient6–13-0.0227%24 Jun →
mirage13–7-0.028%24 Jun →
ancient9–13-0.0328%24 Jun →
ancient13–90.0424%19 Jun →
nuke5–130.0317%17 Jun →
mirage13–8-0.0221%14 Jun →
dust213–70.0321%12 Jun →
dust213–1-0.0411%10 Jun →
mirage16–14-0.0121%5 Jun →
nuke13–1-0.0122%5 Jun →
mirage4–13-0.0736%5 Jun →
mirage10–13-0.0133%4 Jun →
ancient13–40.0616%4 Jun →
inferno6–13-0.0410%30 May →
mirage11–130.0222%30 May →
dust213–100.0611%30 May →
ancient5–130.0436%28 May →
anubis13–10-0.0313%23 May →
mirage8–130.0229%23 May →
dust213–6-0.028%23 May →
anubis2–13-0.0811%20 May →
mirage11–13-0.0012%18 May →
dust213–30.0417%18 May →
mirage8–13-0.0722%18 May →
ancient13–110.0221%16 May →
inferno9–13-0.0522%16 May →
anubis13–11-0.0215%16 May →
mirage2–13-0.0616%14 May →
ancient1–13-0.0427%13 May →
dust213–9-0.0324%11 May →
dust210–13-0.0725%9 May →
dust210–13-0.0611%9 May →
cache7–13-0.085%7 May →
inferno13–4-0.0216%7 May →
anubis13–4-0.0112%7 May →
anubis14–16-0.0313%3 May →
dust28–13-0.058%3 May →
mirage13–40.0120%2 May →
inferno10–13-0.0321%2 May →
dust216–14-0.0221%28 Apr →
mirage10–13-0.0517%26 Apr →
ancient13–70.0226%22 Apr →
mirage13–11-0.0032%22 Apr →
mirage13–30.1617%22 Apr →
dust213–50.0610%22 Apr →
inferno15–150.0221%21 Apr →
dust213–5-0.0022%21 Apr →
mirage8–130.0019%21 Apr →
mirage13–70.0226%20 Apr →
mirage13–80.0021%19 Apr →
ancient13–7-0.033%18 Apr →
dust213–7-0.0619%18 Apr →
mirage5–13-0.0725%18 Apr →
nuke13–11-0.0414%18 Apr →
anubis8–13-0.0325%17 Apr →
overpass11–130.0329%12 Apr →
mirage13–80.0525%12 Apr →
ancient13–30.0824%12 Apr →
dust213–80.0120%12 Apr →
dust27–13-0.0420%12 Apr →
ancient6–13-0.0420%12 Apr →
anubis6–13-0.1116%28 Mar →
dust213–11-0.0128%28 Mar →
ancient13–90.0624%28 Mar →
dust24–13-0.0520%28 Mar →
mirage2–13-0.1210%28 Mar →
dust213–30.0124%27 Mar →
inferno8–13-0.0817%22 Mar →
dust210–13-0.0329%22 Mar →
inferno13–2-0.0014%22 Mar →
mirage11–130.0425%22 Mar →
nuke5–13-0.0815%21 Mar →
mirage13–10-0.059%16 Mar →
ancient13–10.0121%14 Mar →
mirage5–13-0.1016%14 Mar →
dust213–7-0.0325%14 Mar →
inferno13–20.0617%13 Mar →
dust216–130.0325%13 Mar →
nuke16–13-0.0028%11 Mar →
mirage5–13-0.0141%10 Mar →
anubis1–130.0718%6 Mar →
inferno13–70.0623%6 Mar →
dust213–5-0.0612%6 Mar →
anubis13–70.0210%5 Mar →
mirage2–13-0.0044%4 Mar →
dust213–8-0.0116%1 Mar →
dust214–160.0427%28 Feb →
mirage13–8-0.0221%28 Feb →
inferno0–13-0.130%28 Feb →

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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