fedoras are awesome

fedoras are awesome — CS2 Stats

76561198026867569[U:1:66601841]Steam profile ↗✓ No bans

209Tracked matches56%Win rate2025Tracked since
CSDB Rating5.7 SolidAll-Rounder
Premier CS Rating17,497Purple band · top ~18.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 209 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,497 +2,717 25 May – 6 Sept · 29 days played
14,78018,160peak 18,16025 May6 Sept
18,480Peak Premier in tracked matches
32Days played since 2026-05-25

Premier CS Rating

  • 663 below peak (18,160)
  • 0 over 30 days · steady
  • +762 over 90 days
  • Next: Pink band at 20,000 — 2,503 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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

Share this profile

CSDB.GGfedoras are awesomePREMIER17,497 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning54
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY55–37–8Last 10055%Win rateLWTLWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −2.2pp headshot accuracy · −24ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 644ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 606ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 618ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.9
Utility4.7
Positioning5.4
Opening Duels4.4

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

ZywOo

Plays most like ZywOo 85% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 637ms 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
Positioning5.4
Utility4.7
Mechanics7.9
Opening Duels2.8
Win Impact6.9

Composite 5.7/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time627ms−6ms
first ⅓ avg 633ms → last ⅓ avg 627ms
Headshot accuracy15.0%+1.8%
first ⅓ avg 13.2% → last ⅓ avg 15.0%

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

0.12Best match rating · 13–2 · mirage, 28 May →
29%Best headshot accuracy · 9–1 · mirage, 4 Jul →
383msFastest reaction time · 5–13 · dust2, 18 Jul →
13–0Biggest win · ancient, 14 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
15–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 88% over 8cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C3013–1743%0.00
mirageA2716–1159%0.02
anubisA127–558%-0.01
cacheD93–633%-0.01
infernoS86–275%0.01
ancientS87–188%0.02
nukeA53–260%-0.00
overpass—10–10%0.01

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.6%Headshot accuracy
32.7%Accuracy (enemy spotted)
32.2%Spray accuracy
85.6%Counter-strafing
9.6°Preaim
637msReaction time
36.0%T opening success
46.5%CT opening success
0.54Enemies flashed / flash
3.7%Flash assists
11.01HE damage / grenade
5.91Flashes / 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 14.5824% — 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 35.9827% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0415%1 Aug →
cache13–40.0114%21 Jul →
cache15–15-0.0416%19 Jul →
dust213–16-0.0317%19 Jul →
nuke13–80.029%19 Jul →
dust213–11-0.0014%18 Jul →
nuke13–10-0.0110%18 Jul →
anubis16–13-0.038%18 Jul →
dust25–13-0.054%18 Jul →
anubis13–5-0.068%18 Jul →
mirage13–110.0319%17 Jul →
anubis6–13-0.0714%17 Jul →
anubis6–13-0.0312%17 Jul →
dust213–11-0.0311%17 Jul →
cache9–13-0.0216%17 Jul →
mirage2–13-0.038%17 Jul →
dust213–60.0316%14 Jul →
inferno4–13-0.0710%14 Jul →
cache15–150.0118%14 Jul →
cache13–40.0115%14 Jul →
dust213–11-0.049%14 Jul →
cache10–130.0516%14 Jul →
mirage10–20.0014%14 Jul →
dust26–13-0.0726%14 Jul →
cache15–15-0.0422%12 Jul →
dust29–13-0.0618%12 Jul →
cache13–50.0117%12 Jul →
dust213–70.0316%6 Jul →
mirage13–70.0616%5 Jul →
mirage8–130.0421%4 Jul →
mirage9–10.0229%4 Jul →
dust211–130.0219%4 Jul →
dust213–70.0318%4 Jul →
anubis16–130.0013%4 Jul →
inferno4–4-0.0216%4 Jul →
dust215–15-0.0211%3 Jul →
mirage13–110.0616%3 Jul →
dust24–13-0.0416%2 Jul →
dust213–11-0.0514%2 Jul →
mirage15–150.0315%29 Jun →
inferno13–110.0512%29 Jun →
ancient13–50.0511%29 Jun →
mirage11–130.0621%28 Jun →
dust26–13-0.0013%27 Jun →
dust28–130.0220%27 Jun →
mirage13–20.1121%27 Jun →
dust213–110.0614%21 Jun →
dust213–20.0622%20 Jun →
cache12–12-0.0416%20 Jun →
ancient6–13-0.0214%20 Jun →
inferno13–70.1019%20 Jun →
dust213–60.0118%20 Jun →
mirage13–100.0111%19 Jun →
mirage9–130.0219%19 Jun →
dust23–13-0.0410%19 Jun →
dust211–130.0211%19 Jun →
ancient13–20.045%19 Jun →
inferno13–11-0.029%19 Jun →
mirage11–13-0.069%19 Jun →
mirage13–9-0.0411%18 Jun →
anubis13–3-0.0124%18 Jun →
dust28–130.0721%17 Jun →
mirage13–110.0116%17 Jun →
mirage13–40.0519%15 Jun →
mirage13–50.0710%15 Jun →
nuke5–13-0.0410%15 Jun →
anubis7–13-0.0310%15 Jun →
anubis13–70.0414%14 Jun →
mirage13–30.0110%14 Jun →
inferno13–50.0311%14 Jun →
ancient13–00.078%14 Jun →
mirage8–13-0.0313%13 Jun →
dust28–13-0.0111%13 Jun →
anubis11–13-0.0117%13 Jun →
ancient13–6-0.018%13 Jun →
mirage4–130.046%12 Jun →
dust213–60.0210%7 Jun →
mirage7–130.0121%7 Jun →
mirage14–160.0020%7 Jun →
anubis13–90.0421%3 Jun →
overpass8–130.0117%3 Jun →
mirage4–130.0114%3 Jun →
inferno16–14-0.0112%1 Jun →
mirage13–10-0.0113%1 Jun →
ancient13–30.089%1 Jun →
anubis11–13-0.0117%1 Jun →
dust214–16-0.0311%31 May →
mirage13–40.009%31 May →
nuke16–140.0210%31 May →
ancient13–11-0.068%31 May →
dust210–130.0515%31 May →
dust213–30.0610%30 May →
ancient13–40.025%30 May →
anubis13–80.0519%30 May →
dust215–15-0.0412%29 May →
nuke7–13-0.0023%29 May →
mirage13–8-0.0117%28 May →
dust213–11-0.0118%28 May →
mirage13–20.1215%28 May →
dust215–150.1216%25 May →

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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