-FweeHaircutz-

-FweeHaircutz- — CS2 Stats

76561199538109503[U:1:1577843775]Steam profile ↗✓ No bans

311Tracked matches57%Win rate2025Tracked since
124Hours in CS
CSDB Rating4.5 DevelopingPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 6,285 +1,427 11 Apr – 16 May · 13 days played
4,8587,528peak 7,52811 Apr16 May
7,878Peak Premier in tracked matches
26Days played since 2026-04-11

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

Performance scores

Aim53
Positioning47
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateWLLWLLWWLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −1.2pp headshot accuracy · −43ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 597ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 683ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 704ms

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 (+2.7 against its own average).

Aim5.3
Utility1.2
Positioning4.7
Opening Duels2.2
Clutch0.0

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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 700ms 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

Aim5.3
Positioning4.7
Utility1.2
Mechanics5.8
Opening Duels1.4
Win Impact7.4

Composite 4.5/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time695ms−27ms
first ⅓ avg 722ms → last ⅓ avg 695ms
Headshot accuracy10.6%+0.2%
first ⅓ avg 10.4% → last ⅓ avg 10.6%

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

0.17Best match rating · 9–2 · vertigo, 16 May →
30%Best headshot accuracy · 7–1 · dust2, 8 May →
461msFastest reaction time · 5–9 · inferno, 8 Sept →
13–1Biggest win · dust2, 27 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 82% over 11infernoWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%-0.03
infernoD185–1328%-0.04
nukeB137–654%-0.05
anubisB126–650%-0.01
ancientS119–282%-0.03
vertigoD93–633%-0.06
dust2S75–271%0.00
eldorado—21–150%-0.06
debris—22–0100%0.06
cache—11–0100%0.03
poseidon—11–0100%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,645Lifetime kills
0.71K/D
369Matches
43.6%Match win rate
35.6%Headshot %
0.0%Shot accuracy
589MVPs
124Hours (in match)
193Bombs planted
55Bombs defused

Most-used weapons

Lifetime map wins

687nuke
646inferno
303vertigo
152dust2

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

Faceit stats

Combat

5Matches
20%Win rate
0.51Avg K/D
55.9ADR
60%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.6912.0
Anubis20%0.244.5

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.

11.1%Headshot accuracy
37.3%Accuracy (enemy spotted)
36.5%Spray accuracy
76.1%Counter-strafing
9.2°Preaim
700msReaction time
30.8%T opening success
40.7%CT opening success
0.24Enemies flashed / flash
1.1%Flash assists
4.65HE damage / grenade
3.67Flashes / 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 11.1072% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2386 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 30.8172% — 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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–6-0.055%9 Sept →
nuke11–13-0.0510%8 Sept →
inferno5–9-0.135%8 Sept →
dust213–10.0621%27 Aug →
inferno6–9-0.0017%27 Aug →
vertigo5–9-0.218%16 Aug →
cache13–10.032%7 Aug →
mirage13–20.045%7 Aug →
vertigo1–9-0.216%30 Jul →
inferno9–7-0.0219%30 Jul →
anubis13–50.018%26 Jul →
anubis13–60.054%26 Jul →
anubis8–130.027%26 Jul →
vertigo4–9-0.117%26 Jul →
eldorado8–8-0.0811%12 Jul →
debris9–30.0012%12 Jul →
eldorado9–2-0.059%12 Jul →
debris9–20.1219%12 Jul →
vertigo9–5-0.0112%12 Jul →
inferno8–8-0.0919%12 Jul →
mirage13–70.0210%10 Jul →
mirage13–16-0.058%27 Jun →
anubis15–15-0.0216%27 Jun →
nuke6–9-0.123%26 Jun →
nuke15–15-0.059%26 Jun →
inferno8–8-0.0421%27 May →
vertigo7–9-0.0410%27 May →
nuke9–4-0.013%27 May →
inferno8–80.015%27 May →
vertigo5–9-0.0013%17 May →
inferno9–20.0021%17 May →
nuke6–9-0.1519%17 May →
mirage4–13-0.095%16 May →
inferno6–9-0.068%16 May →
vertigo9–20.1719%16 May →
mirage7–13-0.0323%15 May →
vertigo9–3-0.0214%15 May →
mirage13–16-0.0710%14 May →
inferno6–9-0.0818%14 May →
inferno8–13-0.118%13 May →
ancient13–9-0.0616%13 May →
inferno7–9-0.0722%13 May →
dust213–60.0211%10 May →
mirage9–13-0.0414%10 May →
nuke13–7-0.068%10 May →
dust22–13-0.079%10 May →
ancient13–50.028%10 May →
nuke6–13-0.045%10 May →
nuke13–60.058%10 May →
dust216–12-0.0523%10 May →
ancient3–13-0.1018%10 May →
nuke6–9-0.0713%10 May →
mirage13–7-0.009%9 May →
anubis13–6-0.078%9 May →
dust28–13-0.0221%9 May →
mirage13–7-0.0216%9 May →
mirage13–50.019%9 May →
mirage13–80.089%9 May →
nuke13–5-0.0414%8 May →
mirage13–7-0.0615%8 May →
dust27–10.1630%8 May →
mirage13–3-0.017%8 May →
mirage2–10-0.030%8 May →
inferno9–30.047%8 May →
inferno9–00.054%8 May →
ancient2–13-0.0921%24 Apr →
mirage5–13-0.0112%24 Apr →
mirage16–13-0.077%24 Apr →
anubis13–10-0.0517%24 Apr →
inferno6–13-0.066%19 Apr →
mirage14–160.0115%18 Apr →
ancient8–20.0411%18 Apr →
dust213–7-0.0814%18 Apr →
anubis8–13-0.038%18 Apr →
ancient13–5-0.067%18 Apr →
mirage13–40.0321%18 Apr →
anubis5–13-0.088%18 Apr →
anubis10–130.008%18 Apr →
mirage13–7-0.058%18 Apr →
mirage8–13-0.073%18 Apr →
inferno13–7-0.0312%17 Apr →
ancient16–14-0.0912%17 Apr →
nuke16–13-0.056%17 Apr →
inferno6–13-0.064%17 Apr →
ancient13–10-0.0220%17 Apr →
mirage8–13-0.077%17 Apr →
vertigo6–9-0.109%17 Apr →
inferno8–8-0.0918%17 Apr →
mirage2–13-0.107%17 Apr →
mirage7–13-0.039%12 Apr →
nuke13–3-0.059%12 Apr →
ancient13–110.0023%12 Apr →
ancient13–11-0.0117%11 Apr →
anubis13–60.038%11 Apr →
nuke13–60.0410%11 Apr →
mirage8–13-0.084%11 Apr →
inferno6–130.0111%11 Apr →
anubis11–130.0414%11 Apr →
poseidon9–30.126%11 Apr →
ancient13–11-0.007%11 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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