Felix

Felix — CS2 Stats

76561198112493575[U:1:152227847]Steam profile ↗✓ No bans

603Tracked matches55%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating17,378Purple band · top ~18.9% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Apr 2026 (192 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,378 +3,321 14 May – 3 Apr · 27 days played
13,20617,378peak 17,37814 May3 Apr
17,378Peak Premier in tracked matches
40Days played since 2024-05-14

Premier CS Rating

  • At peak — 17,378
  • Next: Pink band at 20,000 — 2,622 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGFelixFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,378 · 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

Aim55
Positioning56
Utility48

0–100 skill scores via Leetify.

Recent form

HOT53–41–6Last 10053%Win rateLWWWTWWWLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −1.8pp headshot accuracy · +25ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 683ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 662ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 649ms

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 (+0.9 against its own average).

Aim5.5
Utility4.8
Positioning5.6
Opening Duels3.8

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

jL

Plays most like jL 83% 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. 631ms 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

Aim5.5
Positioning5.6
Utility4.8
Mechanics6.9
Opening Duels2.8
Win Impact6.7

Composite 5.5/10 (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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time635ms−25ms
first ⅓ avg 661ms → last ⅓ avg 635ms
Headshot accuracy14.6%−4.1%
first ⅓ avg 18.6% → last ⅓ avg 14.6%

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

0.28Best match rating · 9–1 · assembly, 29 Jun →
43%Best headshot accuracy · 7–13 · ancient, 1 Aug →
453msFastest reaction time · 9–7 · vertigo, 11 Aug →
13–0Biggest win · anubis, 15 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–16In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 67% over 6infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA2112–957%0.01
infernoD186–1233%0.00
nukeA1810–856%0.01
vertigoA169–756%0.02
dust2B63–350%0.02
anubisS64–267%0.04
ancientA53–260%-0.01
overpass—31–233%0.10
mills—33–0100%0.08
assembly—21–150%0.10
cache—10–10%-0.04
thera—11–0100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

108Matches
56%Win rate
1.36Avg K/D
—ADR
46%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1100%1.0716.0
Mirage1100%1.0016.0

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.

14.9%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.9%Spray accuracy
81.1%Counter-strafing
11.0°Preaim
631msReaction time
40.7%T opening success
41.5%CT opening success
0.61Enemies flashed / flash
4.8%Flash assists
5.82HE damage / grenade
7.86Flashes / 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 14.9398% — below the 15% mark we flag

    Aim Training →
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.

33% 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
cache11–13-0.0416%1 May →
mirage13–11-0.0718%3 Apr →
dust25–0-0.020%3 Apr →
mirage13–9-0.0319%30 Mar →
inferno15–150.0116%30 Mar →
nuke13–6-0.0511%30 Mar →
ancient13–11-0.0310%30 Mar →
mirage13–5-0.049%30 Mar →
nuke11–13-0.0014%30 Mar →
anubis13–8-0.0313%29 Mar →
nuke3–13-0.088%29 Mar →
nuke13–110.0413%29 Mar →
mirage13–90.0718%29 Mar →
nuke13–100.0515%28 Mar →
inferno13–100.0011%28 Mar →
mirage13–20.0326%28 Mar →
mirage14–16-0.0022%28 Mar →
mirage11–130.0114%28 Mar →
inferno7–13-0.038%28 Mar →
dust213–10-0.0410%28 Mar →
nuke9–130.0220%28 Mar →
mirage13–30.0015%28 Mar →
mirage13–20.0810%2 Jan →
mirage11–13-0.0512%2 Jan →
nuke14–160.0217%1 Jan →
nuke11–13-0.0313%29 Sept →
inferno9–130.0321%19 Sept →
dust213–80.1223%19 Sept →
inferno11–130.0212%19 Sept →
vertigo8–13-0.0317%12 Sept →
anubis10–130.0410%12 Sept →
inferno13–16-0.0719%15 Aug →
ancient13–7-0.0218%15 Aug →
anubis13–0-0.005%15 Aug →
nuke13–20.1013%11 Aug →
vertigo9–7-0.1010%11 Aug →
nuke8–80.0521%11 Aug →
ancient7–130.0043%1 Aug →
inferno7–13-0.0031%29 Jul →
inferno13–30.0319%29 Jul →
overpass9–20.1219%29 Jul →
mirage12–120.0717%29 Jul →
vertigo13–10-0.0226%20 Jul →
mirage11–13-0.0712%20 Jul →
nuke13–7-0.0213%11 Jul →
dust210–130.0618%9 Jul →
inferno10–130.1315%7 Jul →
inferno9–130.0415%1 Jul →
ancient11–13-0.0515%1 Jul →
vertigo13–80.1516%1 Jul →
vertigo12–120.0617%1 Jul →
thera13–10.0718%30 Jun →
anubis13–90.1210%30 Jun →
nuke13–60.0617%30 Jun →
mills13–80.0918%30 Jun →
inferno13–70.0211%29 Jun →
mirage10–13-0.0333%29 Jun →
mills13–70.1116%29 Jun →
mills13–70.0413%29 Jun →
assembly9–10.2816%29 Jun →
inferno9–13-0.0614%28 Jun →
nuke10–130.0822%28 Jun →
mirage13–70.0224%28 Jun →
vertigo13–40.0429%28 Jun →
assembly5–9-0.0818%28 Jun →
nuke13–7-0.0216%27 Jun →
mirage15–15-0.0621%27 Jun →
vertigo13–100.0416%25 Jun →
inferno13–4-0.0121%25 Jun →
mirage13–70.1024%24 Jun →
nuke16–13-0.0026%24 Jun →
overpass7–90.0629%24 Jun →
inferno9–13-0.0319%22 Jun →
anubis13–100.0514%22 Jun →
inferno13–30.0315%11 Jun →
nuke13–100.0616%10 Jun →
vertigo11–13-0.0717%9 Jun →
nuke13–5-0.0319%9 Jun →
vertigo2–13-0.0218%9 Jun →
mirage13–100.0721%5 Jun →
vertigo15–15-0.0210%3 Jun →
ancient13–10.0414%3 Jun →
inferno14–16-0.0518%2 Jun →
dust27–130.0126%2 Jun →
vertigo13–60.0316%2 Jun →
mirage13–50.0410%2 Jun →
vertigo4–130.0725%28 May →
vertigo5–70.0117%27 May →
vertigo5–00.0313%27 May →
overpass10–130.1124%27 May →
anubis8–130.0713%27 May →
vertigo13–60.0718%27 May →
mirage11–13-0.0027%25 May →
vertigo13–60.0311%25 May →
nuke11–13-0.0721%19 May →
inferno4–13-0.0710%18 May →
inferno13–9-0.0127%17 May →
dust24–13-0.0227%16 May →
mirage13–20.1221%16 May →
mirage13–16-0.0615%14 May →

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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