Foxi — CS2 Stats

76561197960469835[U:1:204107]

1,621Tracked matches48%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating19,917Purple band · top ~8.8% of ranked players (population est.)
CSDB Leaderboard#12010 of 28419 tracked
FaceitLevel 8 · 1,813 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFoxiFACEITLevel 8 · 1,813 ELOSTANDINGTop 31.2% of rankedPREMIER19,917 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning38
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY47521Last 10047%Win rateWWLLLLWLLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim5.9
Aggression2.4
Utility7.2
Positioning3.8
Opening Duels0.0
Clutch4.6

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 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 596ms 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

Aim5.9
Positioning3.8
Utility7.2
Mechanics6.7
Opening Duels0.6
Win Impact4.4

Composite 5.1/10 (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 rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time591ms−11ms
first ⅓ avg 602ms → last ⅓ avg 591ms
Headshot accuracy12.5%−1.5%
first ⅓ avg 14.0% → last ⅓ avg 12.5%

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

0.11Best rating — dust2 10–2
131Biggest win — cache
5Longest win streak
W2Current streak
79In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 61% over 18ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C36142239%-0.02
infernoC2081240%-0.02
nukeA1811761%0.00
cacheA159660%-0.02
ancientD62433%-0.03
anubis21150%-0.00
mirage21150%-0.04
overpass110100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

640Matches
50%Win rate
0.99Avg K/D
77.7ADR
41%Headshot %

Clutches & streaks

43%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust212354%1.0115.3
Inferno12247%0.9714.6
Nuke9357%1.0014.7
Anubis4949%1.1017.6
Ancient3853%0.9415.0
Train2030%0.9814.5
Mirage2045%0.8914.5
Cache743%0.9314.0

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.

12.3%Headshot accuracy
35.2%Accuracy (enemy spotted)
39.7%Spray accuracy
80.0%Counter-strafing
11.7°Preaim
596msReaction time
23.2%T opening success
34.9%CT opening success
0.67Enemies flashed / flash
6.2%Flash assists
12.53HE damage / grenade
16.90Flashes / 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. 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 12.3474% — below the 15% mark we flag

    Aim Training
  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 23.2066% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0117%28 Aug
dust213–40.0111%28 Aug
inferno7–13-0.046%28 Aug
inferno9–130.0413%28 Aug
dust210–13-0.009%28 Aug
nuke2–13-0.0220%28 Aug
cache13–8-0.0423%17 Aug
dust29–13-0.0613%16 Aug
inferno8–13-0.019%16 Aug
ancient13–9-0.0112%16 Aug
nuke14–160.019%13 Aug
cache13–10.0711%7 Aug
dust20–13-0.0417%3 Aug
inferno13–10-0.007%2 Aug
nuke16–140.0216%2 Aug
dust213–11-0.0012%2 Aug
nuke13–2-0.037%2 Aug
inferno9–13-0.0211%30 Jul
nuke13–90.008%30 Jul
dust26–13-0.014%30 Jul
nuke13–110.0115%30 Jul
dust22–13-0.0614%29 Jul
dust216–12-0.0313%29 Jul
ancient4–13-0.0713%29 Jul
nuke9–13-0.0510%27 Jul
cache11–13-0.034%27 Jul
dust213–10-0.0211%27 Jul
inferno15–15-0.0520%27 Jul
cache16–130.0013%27 Jul
dust214–16-0.0420%27 Jul
inferno13–8-0.047%27 Jul
cache13–80.0320%27 Jul
dust214–16-0.0217%27 Jul
dust213–60.108%27 Jul
inferno13–70.0620%26 Jul
inferno13–16-0.0911%26 Jul
nuke13–50.0421%26 Jul
cache0–13-0.0510%26 Jul
dust213–6-0.0218%26 Jul
dust29–13-0.068%26 Jul
cache13–70.0413%22 Jul
dust25–13-0.039%22 Jul
nuke13–80.0516%22 Jul
dust213–10-0.0310%22 Jul
inferno8–130.0016%22 Jul
dust210–20.1121%22 Jul
nuke13–60.0313%22 Jul
inferno13–9-0.0114%22 Jul
cache13–8-0.0114%21 Jul
cache13–1-0.0218%21 Jul
dust26–13-0.0414%21 Jul
dust213–9-0.0512%21 Jul
dust211–13-0.0214%21 Jul
inferno3–13-0.0118%19 Jul
inferno8–130.0014%19 Jul
dust210–13-0.0314%19 Jul
dust23–13-0.0510%19 Jul
dust21–130.0313%19 Jul
nuke8–130.0413%17 Jul
dust28–13-0.048%17 Jul
dust21–13-0.0614%17 Jul
cache13–80.0211%12 Jul
inferno13–10-0.047%12 Jul
cache4–13-0.0518%12 Jul
nuke7–130.035%12 Jul
dust26–13-0.066%12 Jul
dust213–5-0.0212%9 Jul
cache13–8-0.109%9 Jul
dust214–16-0.0214%9 Jul
cache7–13-0.0614%9 Jul
nuke13–110.009%9 Jul
ancient4–13-0.0727%25 Jun
inferno10–130.0317%25 Jun
overpass13–40.0112%25 Jun
dust213–110.0320%14 Jun
ancient11–13-0.0611%14 Jun
inferno11–130.017%14 Jun
cache8–130.0210%12 Jun
ancient6–130.0010%2 Jun
anubis13–9-0.018%2 Jun
dust213–16-0.0718%29 May
nuke13–80.019%29 May
dust213–10-0.0317%29 May
ancient13–40.0114%29 May
inferno7–13-0.0913%28 May
nuke9–13-0.039%28 May
dust210–130.0225%26 May
inferno16–12-0.0117%26 May
dust213–6-0.0410%25 May
nuke16–130.0115%25 May
cache10–13-0.0514%25 May
dust211–13-0.0616%24 May
inferno13–110.0113%24 May
mirage7–13-0.0411%24 May
nuke16–130.0019%24 May
nuke4–13-0.0617%15 May
inferno13–8-0.0810%15 May
mirage16–14-0.0410%15 May
dust26–13-0.0110%15 May
anubis6–130.0026%10 May

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 →