fx`s little girl

fx`s little girl — CS2 Stats

AU76561198119811983[U:1:159546255]Steam profile ↗✓ No bans

902Tracked matches52%Win rate2020Tracked since
1,939Hours in CS26Hrs last 2 wks
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating21,090Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#11817 of 34521 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate37.9%47.2%49.9%12.0% short
Shot accuracy7.8%12.7%13.4%5.6% short
Kill/death ratio0.921.091.120.20 short
Match win rate47.7%46.6%48.4%meets

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGfx`s little girlPREMIER21,090 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning44
Utility58

0–100 skill scores via Leetify.

Recent form

HOT52444Last 10052%Win rateLWWWWWWWLL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.8
Aggression5.3
Utility5.8
Positioning4.4
Opening Duels1.2
Clutch3.2

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 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; 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 34 points — deaths here waste a strong aim profile.

Reaction time. 550ms 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

Aim7.8
Positioning4.4
Utility5.8
Mechanics7.1
Opening Duels1.2
Win Impact5.6

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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time558ms−46ms
first ⅓ avg 604ms → last ⅓ avg 558ms
Headshot accuracy14.5%−2.8%
first ⅓ avg 17.3% → last ⅓ avg 14.5%

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

0.15Best rating — inferno 13–2
132Biggest win — cache
7Longest win streak
1010In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 62% over 13infernoWeakest map · 47% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B37191851%-0.01
infernoB178947%0.01
ancientB147750%0.02
cacheA138562%-0.02
mirageB105550%-0.00
overpass43175%0.01
nuke3030%-0.00
anubis220100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,967Lifetime kills
0.92K/D
2,104Matches
47.7%Match win rate · Top 50% of Pink band
37.9%Headshot %
7.8%Shot accuracy
3,598MVPs
868Hours (in match)
2,566Bombs planted
603Bombs defused

Most-used weapons

Lifetime map wins

12,043dust2
2,285inferno
1,075nuke
553train
117vertigo
111office
43cbble
30italy

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

Faceit stats

Combat

62Matches
55%Win rate
1.08Avg K/D
75.0ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust22962%1.0915.6
Mirage933%1.0116.0
Ancient967%1.0316.1
Overpass580%1.2613.4
Cache540%1.0714.8
Inferno333%1.1716.7
Nuke20%0.9715.5

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.

14.0%Headshot accuracy
35.8%Accuracy (enemy spotted)
36.8%Spray accuracy
82.1%Counter-strafing
7.2°Preaim
550msReaction time
30.2%T opening success
39.7%CT opening success
0.65Enemies flashed / flash
4.9%Flash assists
11.28HE damage / grenade
8.54Flashes / 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 14.0042% — 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 30.1771% — 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.

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache14–16-0.0613%28 Aug
ancient13–30.0612%28 Aug
mirage13–110.0022%27 Aug
ancient13–60.0119%25 Aug
cache13–70.0119%25 Aug
cache13–20.0624%25 Aug
dust213–30.0614%25 Aug
dust213–5-0.0812%25 Aug
ancient11–13-0.0118%24 Aug
mirage10–130.0118%24 Aug
dust213–7-0.0021%24 Aug
mirage10–13-0.0615%21 Aug
inferno13–110.048%21 Aug
dust213–110.0116%21 Aug
ancient7–13-0.0213%17 Aug
inferno13–100.018%16 Aug
dust24–13-0.057%16 Aug
inferno11–130.0314%14 Aug
cache1–13-0.0311%14 Aug
ancient13–70.0112%12 Aug
dust23–13-0.0813%12 Aug
mirage6–13-0.018%12 Aug
mirage6–13-0.0420%12 Aug
mirage16–140.027%9 Aug
dust213–9-0.0616%9 Aug
ancient15–150.0510%8 Aug
dust27–13-0.0310%8 Aug
nuke11–130.0411%8 Aug
ancient12–160.0422%6 Aug
inferno13–40.0413%5 Aug
dust213–3-0.0019%5 Aug
dust213–160.0319%4 Aug
dust213–90.0018%4 Aug
ancient13–110.0318%3 Aug
anubis13–40.0540%28 Jul
dust27–13-0.0524%28 Jul
anubis13–10-0.0316%28 Jul
dust213–20.0820%28 Jul
cache13–9-0.0513%28 Jul
inferno8–130.0216%27 Jul
dust24–130.0117%27 Jul
inferno10–13-0.0415%22 Jul
mirage10–130.0111%22 Jul
inferno8–13-0.0226%22 Jul
cache9–00.0112%22 Jul
inferno6–13-0.0224%22 Jul
inferno10–13-0.0221%21 Jul
cache16–14-0.0515%21 Jul
ancient13–110.0710%21 Jul
inferno16–140.0214%21 Jul
dust27–13-0.0526%21 Jul
cache8–13-0.0116%21 Jul
ancient13–100.025%20 Jul
nuke11–13-0.0022%20 Jul
dust29–13-0.0514%20 Jul
mirage13–90.0621%20 Jul
dust213–60.0318%20 Jul
inferno13–7-0.052%20 Jul
dust213–30.0325%20 Jul
inferno13–20.1523%19 Jul
dust215–150.049%14 Jul
cache15–150.0022%14 Jul
dust213–30.0726%14 Jul
cache13–80.0317%14 Jul
ancient13–160.0013%13 Jul
mirage13–10-0.0113%13 Jul
cache7–13-0.0719%13 Jul
inferno3–8-0.0119%12 Jul
dust213–7-0.0221%12 Jul
ancient22–20-0.0212%7 Jul
dust213–10-0.0422%7 Jul
mirage25–220.0015%6 Jul
dust26–13-0.0820%6 Jul
ancient2–13-0.029%6 Jul
inferno13–90.0411%4 Jul
overpass13–4-0.0116%4 Jul
inferno11–13-0.0220%4 Jul
inferno13–110.0715%1 Jul
dust211–13-0.0211%30 Jun
cache13–100.0019%30 Jun
dust213–10-0.0221%30 Jun
nuke10–13-0.0624%29 Jun
dust210–13-0.0218%28 Jun
dust213–70.0122%27 Jun
overpass13–4-0.0031%27 Jun
dust26–13-0.029%26 Jun
ancient11–13-0.0025%23 Jun
overpass13–40.0324%22 Jun
dust22–13-0.0914%22 Jun
dust211–130.0415%22 Jun
cache13–4-0.0623%22 Jun
dust213–16-0.059%21 Jun
dust213–20.1027%21 Jun
dust216–120.0013%21 Jun
dust213–100.0715%21 Jun
inferno4–13-0.0412%21 Jun
dust211–13-0.058%18 Jun
dust29–13-0.0217%18 Jun
dust213–9-0.0218%18 Jun
overpass15–150.0315%18 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →