Felix

Felix — CS2 Stats

CH76561198310475326[U:1:350209598]Steam profile ↗✓ No bans

1,452Tracked matches48%Win rate2020Tracked since
4,269Hours in CS15Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating19,506Top 50% of 203,074 CSDB-tracked playersPurple band · top ~10.5% of ranked players (population est.)
CSDB Leaderboard#89039 of 250016 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,506 → 19,506
+1Tracked matches · now 1,452
0.0ppWin rate · 48.3% → 48.3%

Rating over time

Premier CS Rating: 19,506 +333 26 Jul – 4 Oct · 27 days played
18,20920,945peak 20,94526 Jul4 Oct
20,960Peak Premier in tracked matches
39Days played since 2026-07-25

Premier CS Rating

  • 1,439 below peak (20,945)
  • -1,073 over 30 days · declining
  • Next: Pink band at 20,000 — 494 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches47——
Win rate49%——
K/D0.97——
Headshot %35%——

Measured 9 Sep 2026 → 6 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.0%44.3%46.9%7.9% short
Shot accuracy16.9%11.9%13.0%above
Kill/death ratio1.141.031.08above
Match win rate41.1%45.2%46.7%5.6% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGFelixPREMIER19,506 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning55
Utility28

0–100 skill scores via Leetify.

Recent form

HOT46–47–7Last 10046%Win rateWWWLWWWWLW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating · −1.5pp headshot accuracy · +14ms reaction

Win rate up 50pp 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 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 631ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 590ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 583ms

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 (+1.8 against its own average).

Aim7.2
Utility2.8
Positioning5.5
Opening Duels2.9

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 580ms 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

Aim7.2
Positioning5.5
Utility2.8
Mechanics5.7
Opening Duels3.5
Win Impact4.4

Composite 5.3/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time591ms−13ms
first ⅓ avg 604ms → last ⅓ avg 591ms
Headshot accuracy14.0%−0.7%
first ⅓ avg 14.6% → last ⅓ avg 14.0%

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

0.26Best match rating · 13–3 · overpass, 15 Aug →
39%Best headshot accuracy · 11–13 · office, 8 Sept →
422msFastest reaction time · 7–13 · ancient, 27 Jul →
13–1Biggest win · inferno, 15 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
4–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 58% over 12ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheA148–657%0.01
mirageB137–654%-0.00
dust2B136–746%-0.00
infernoC125–742%0.00
anubisA127–558%0.01
ancientD93–633%-0.00
nukeC94–544%0.01
vertigoC83–538%0.04
office—31–233%0.03
train—30–30%-0.02
overpass—22–0100%0.14
fachwerk—10–10%-0.05
boulder—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,884Lifetime kills
1.14K/D · Top 50% of Purple band
5,651Matches
41.1%Match win rate
39.0%Headshot %
16.9%Shot accuracy · Top 25% of Purple band
12,418MVPs
2,167Hours (in match)
6,089Bombs planted
847Bombs defused

Most-used weapons

AK-4730,744
AWP16,784
MP94,149
FAMAS2,872
MAC-102,689
P902,376

Lifetime map wins

10,110dust2
6,251inferno
4,403nuke
2,345train
1,446lake
1,342vertigo
537office
364cbble

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

Faceit stats

Combat

3Matches
0%Win rate
0.19Avg K/D
—ADR
50%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

13.7%Headshot accuracy
41.4%Accuracy (enemy spotted)
42.9%Spray accuracy
75.7%Counter-strafing
11.3°Preaim
580msReaction time
42.0%T opening success
46.2%CT opening success
0.44Enemies flashed / flash
2.5%Flash assists
8.59HE damage / grenade
2.26Flashes / 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 13.7381% — 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 0.4422 — below the 0.5 mark we flag

    Grenade Lineups →
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 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–5-0.0011%5 Oct →
ancient13–90.0316%2 Oct →
overpass13–30.029%2 Oct →
dust28–13-0.0310%2 Oct →
mirage13–80.0411%29 Sept →
ancient13–30.0810%29 Sept →
cache13–110.0711%28 Sept →
inferno13–10-0.047%27 Sept →
inferno11–13-0.0211%27 Sept →
cache16–12-0.0119%27 Sept →
vertigo10–130.0417%25 Sept →
vertigo13–60.0110%25 Sept →
vertigo4–13-0.0519%24 Sept →
vertigo13–100.099%24 Sept →
nuke4–130.0013%24 Sept →
mirage9–13-0.075%24 Sept →
cache1–13-0.0417%23 Sept →
nuke13–80.0413%22 Sept →
anubis10–13-0.0617%21 Sept →
nuke7–130.0811%18 Sept →
anubis13–100.0612%18 Sept →
anubis8–130.0011%18 Sept →
anubis7–130.0319%18 Sept →
dust213–40.0212%15 Sept →
cache13–60.0810%15 Sept →
dust214–16-0.0115%14 Sept →
ancient11–13-0.0017%14 Sept →
inferno3–9-0.0817%9 Sept →
office12–120.0212%8 Sept →
office11–130.0639%8 Sept →
mirage13–5-0.0227%7 Sept →
office13–40.0213%1 Sept →
ancient12–12-0.0413%1 Sept →
inferno13–11-0.0412%31 Aug →
inferno6–13-0.0415%31 Aug →
dust22–130.0318%29 Aug →
cache13–100.0226%29 Aug →
dust213–5-0.0319%29 Aug →
cache10–13-0.028%29 Aug →
anubis13–90.0316%29 Aug →
anubis10–13-0.0415%23 Aug →
dust210–13-0.0520%23 Aug →
mirage7–13-0.0714%21 Aug →
mirage13–11-0.0425%21 Aug →
anubis13–80.0114%21 Aug →
nuke13–90.0416%21 Aug →
inferno9–50.2115%19 Aug →
dust213–90.0513%19 Aug →
mirage13–100.0329%19 Aug →
cache13–80.0423%19 Aug →
mirage10–130.1023%19 Aug →
inferno16–130.015%17 Aug →
anubis1–13-0.0317%16 Aug →
cache3–130.0127%16 Aug →
cache9–13-0.0210%16 Aug →
cache9–13-0.0212%15 Aug →
overpass13–30.2616%15 Aug →
inferno13–10.1111%15 Aug →
dust212–120.0324%15 Aug →
train12–12-0.0516%14 Aug →
train2–110.0317%14 Aug →
train5–13-0.0414%14 Aug →
fachwerk6–13-0.0518%11 Aug →
boulder8–13-0.0220%11 Aug →
dust213–6-0.0413%11 Aug →
nuke5–13-0.0020%11 Aug →
inferno12–12-0.1113%8 Aug →
anubis16–130.0511%8 Aug →
nuke11–13-0.0111%6 Aug →
inferno8–80.0417%4 Aug →
vertigo6–130.0512%4 Aug →
ancient15–15-0.0417%3 Aug →
mirage8–130.0313%3 Aug →
inferno5–13-0.0519%3 Aug →
ancient13–11-0.055%2 Aug →
anubis13–60.0014%2 Aug →
dust211–13-0.0212%2 Aug →
cache11–13-0.0911%2 Aug →
dust213–60.0215%2 Aug →
mirage6–13-0.105%2 Aug →
cache13–80.0020%1 Aug →
mirage11–13-0.078%1 Aug →
nuke6–13-0.1110%31 Jul →
cache13–9-0.0310%31 Jul →
nuke13–10-0.0211%31 Jul →
dust213–9-0.0413%31 Jul →
cache13–30.0920%31 Jul →
anubis13–50.0013%31 Jul →
vertigo13–80.1019%30 Jul →
mirage13–100.1021%29 Jul →
dust25–130.0413%29 Jul →
vertigo11–130.0817%29 Jul →
vertigo4–13-0.0324%29 Jul →
nuke13–100.0414%29 Jul →
inferno10–130.0115%27 Jul →
ancient7–130.0312%27 Jul →
ancient10–13-0.0429%27 Jul →
mirage13–20.0123%26 Jul →
ancient9–130.0113%26 Jul →
anubis13–10-0.0017%25 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.