felix

felix — CS2 Stats

AU76561198017245910[U:1:56980182]Steam profile ↗✓ No bans

624Tracked matches76%Win rate2022Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating15,548Purple band · top ~26.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 624 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,548 +1,912 8 Jun – 26 Oct · 18 days played
10,52115,548peak 15,5488 Jun26 Oct
15,548Peak Premier in tracked matches
38Days played since 2026-06-08

Premier CS Rating

  • At peak — 15,548
  • +2,199 over 30 days · improving
  • Next: Pink band at 20,000 — 4,452 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-26
  • Blue band first seen 2026-09-09

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

Share this profile

CSDB.GGfelixPREMIER15,548 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning34
Utility32

0–100 skill scores via Leetify.

Recent form

HOT58–36–6Last 10058%Win rateWWWLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −2.8pp headshot accuracy · +26ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 587ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 633ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 620ms

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 (+1.2 against its own average).

Aim6.4
Utility3.2
Positioning3.4
Opening Duels0.0

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.

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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; 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

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

T-side openings. Opening success drops from 32% on CT to 7% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim6.4
Positioning3.4
Utility3.2
Mechanics6.5
Opening Duels0.3
Win Impact10.0

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 -0.03 → last ⅓ avg -0.02
Reaction time612ms−48ms
first ⅓ avg 659ms → last ⅓ avg 612ms
Headshot accuracy15.5%+1.2%
first ⅓ avg 14.3% → last ⅓ avg 15.5%

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.

Personal bests

0.11Best match rating · 13–4 · ancient, 11 Oct →
38%Best headshot accuracy · 1–7 · dust2, 21 Aug →
445msFastest reaction time · 13–4 · office, 2 Sept →
13–0Biggest win · mirage, 31 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
0–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 90% over 10dust2Weakest map · 42% over 31
MapGradePlayedRecordWin rateAvg rating
dust2C3113–1842%-0.04
mirageA2112–957%-0.02
infernoS139–469%0.00
ancientS109–190%0.01
nukeA106–460%-0.03
cacheB63–350%-0.01
officeS54–180%-0.04
anubis—42–250%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.7%Headshot accuracy
32.5%Accuracy (enemy spotted)
36.5%Spray accuracy
79.2%Counter-strafing
8.8°Preaim
609msReaction time
6.9%T opening success
32.2%CT opening success
0.49Enemies flashed / flash
2.0%Flash assists
8.62HE damage / grenade
5.47Flashes / 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. 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 0.4869 — below the 0.5 mark we flag

    Grenade Lineups →
  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 6.8574% — below the 40% mark we flag

Spend your practice time on Dust 2

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

42% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10.027%17 Oct →
ancient13–7-0.0516%17 Oct →
anubis16–13-0.0111%17 Oct →
mirage6–13-0.0537%11 Oct →
inferno13–10-0.039%11 Oct →
ancient13–40.1118%11 Oct →
nuke13–3-0.0611%1 Oct →
mirage13–20.0311%1 Oct →
ancient13–1-0.0211%1 Oct →
dust213–7-0.0912%25 Sept →
inferno10–13-0.0525%25 Sept →
nuke13–5-0.0310%21 Sept →
dust24–13-0.0716%21 Sept →
inferno13–20.0223%17 Sept →
mirage13–9-0.0814%9 Sept →
dust213–6-0.0414%9 Sept →
office13–6-0.0311%6 Sept →
dust212–12-0.0521%6 Sept →
inferno13–60.0519%5 Sept →
dust28–13-0.0317%5 Sept →
office8–13-0.1011%4 Sept →
inferno9–13-0.0624%2 Sept →
office13–4-0.0312%2 Sept →
office13–1-0.0311%2 Sept →
anubis13–5-0.0711%31 Aug →
mirage13–0-0.0114%31 Aug →
nuke11–13-0.0819%29 Aug →
dust213–2-0.0233%29 Aug →
ancient13–30.089%29 Aug →
mirage13–20.0611%29 Aug →
cache13–40.0316%29 Aug →
dust29–13-0.0318%26 Aug →
dust24–13-0.0512%26 Aug →
ancient13–90.0322%26 Aug →
dust213–9-0.0523%25 Aug →
inferno13–60.0322%25 Aug →
mirage13–30.0819%24 Aug →
ancient13–10-0.0317%24 Aug →
inferno13–40.0421%24 Aug →
dust26–13-0.0831%24 Aug →
dust213–7-0.0110%24 Aug →
nuke13–50.0326%24 Aug →
inferno13–4-0.0214%24 Aug →
mirage13–10.0519%24 Aug →
ancient9–130.0411%24 Aug →
ancient13–4-0.050%22 Aug →
mirage13–30.0118%22 Aug →
dust213–2-0.036%22 Aug →
nuke8–13-0.0417%21 Aug →
inferno6–13-0.0224%21 Aug →
dust28–13-0.0821%21 Aug →
dust21–7-0.0338%21 Aug →
office13–7-0.0324%21 Aug →
mirage1–13-0.0626%19 Aug →
anubis8–13-0.0116%19 Aug →
inferno15–150.0314%18 Aug →
dust211–13-0.0213%18 Aug →
cache4–13-0.0320%17 Aug →
mirage4–13-0.0537%17 Aug →
dust29–13-0.0215%17 Aug →
dust213–7-0.0124%17 Aug →
mirage16–120.0027%16 Aug →
dust211–130.0419%15 Aug →
mirage10–13-0.0212%15 Aug →
dust27–13-0.0416%15 Aug →
dust210–13-0.0129%13 Aug →
cache13–6-0.0319%13 Aug →
nuke11–13-0.0716%10 Aug →
nuke13–7-0.046%8 Aug →
dust212–120.0221%8 Aug →
dust213–5-0.0113%8 Aug →
dust213–10-0.059%11 Jul →
mirage11–13-0.0512%11 Jul →
cache12–12-0.048%9 Jul →
nuke13–70.0111%9 Jul →
dust28–13-0.0420%6 Jul →
dust28–13-0.056%27 Jun →
cache13–100.0124%27 Jun →
mirage11–13-0.0526%26 Jun →
mirage8–13-0.0523%26 Jun →
inferno13–90.0326%24 Jun →
dust211–13-0.049%24 Jun →
mirage13–50.0013%24 Jun →
mirage15–15-0.083%23 Jun →
dust29–13-0.088%23 Jun →
dust213–70.0020%21 Jun →
mirage13–7-0.0211%21 Jun →
mirage13–5-0.0114%21 Jun →
anubis11–13-0.0617%21 Jun →
nuke13–5-0.0423%18 Jun →
cache11–130.0124%18 Jun →
dust213–10-0.0616%14 Jun →
dust213–9-0.0713%14 Jun →
ancient13–7-0.0013%14 Jun →
nuke12–12-0.047%12 Jun →
mirage13–2-0.0313%12 Jun →
ancient13–3-0.046%12 Jun →
mirage7–13-0.085%8 Jun →
dust213–6-0.0220%8 Jun →
inferno13–7-0.0418%8 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 →

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