Feeling Marvelous

Feeling Marvelous — CS2 Stats

AU76561198878727081[U:1:918461353]Steam profile ↗1 game ban

446Tracked matches59%Win rate2022Tracked since
CSDB Rating6.3 SolidHybrid Rifler
Premier CS Rating19,493Purple band · top ~10.5% of ranked players (population est.)
CSDB Leaderboard#11333 of 24968 tracked
FaceitLevel 5 · 1,109 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFeeling MarvelousFACEITLevel 5 · 1,109 ELOSTANDINGTop 67.6% of rankedPREMIER19,493 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateWWLLWLLLWW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.4
Aggression6.1
Utility5.6
Positioning5.3
Opening Duels2.0
Clutch6.0

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.

Your pro match

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim7.4
Positioning5.3
Utility5.6
Mechanics7.6
Opening Duels2.1
Win Impact7.9

Composite 6.3/10 (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-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time616ms−7ms
first ⅓ avg 622ms → last ⅓ avg 616ms
Headshot accuracy24.4%−0.8%
first ⅓ avg 25.2% → last ⅓ avg 24.4%

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.

Highlights

0.14Best rating — mirage 13–11
131Biggest win — mirage
9Longest win streak
W2Current streak
69In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA38221658%0.01
dust2A23131057%0.01
ancientA116555%0.01
infernoD93633%-0.02
anubisB84450%0.02
nukeA53260%0.02
cache42250%0.00
overpass21150%-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

63Matches
52%Win rate
1.02Avg K/D
75.2ADR
54%Headshot %

Clutches & streaks

50%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2060%1.1517.4
Dust2933%0.7813.6
Vertigo850%0.9815.5
Inferno771%0.8013.3
Ancient771%1.4612.9
Nuke633%0.8912.3
Anubis633%0.9113.3

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.

24.4%Headshot accuracy
31.8%Accuracy (enemy spotted)
34.3%Spray accuracy
84.2%Counter-strafing
9.5°Preaim
607msReaction time
28.6%T opening success
47.1%CT opening success
0.58Enemies flashed / flash
4.5%Flash assists
8.77HE damage / grenade
14.78Flashes / 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. 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 28.573% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–10.0316%27 Aug
dust213–70.0231%27 Aug
anubis9–13-0.0325%26 Aug
ancient5–13-0.0330%26 Aug
ancient16–13-0.0316%25 Aug
mirage11–13-0.0225%13 Aug
inferno7–13-0.0935%9 Aug
ancient11–13-0.0320%9 Aug
mirage13–80.0013%6 Aug
anubis13–20.0819%31 Jul
nuke13–110.0324%28 Jul
mirage13–90.0516%26 Jul
nuke13–5-0.0217%26 Jul
mirage13–20.0850%26 Jul
ancient16–120.0519%26 Jul
mirage13–70.0120%26 Jul
nuke13–100.0330%25 Jul
inferno9–13-0.0622%16 Jul
ancient4–13-0.0720%11 Jul
dust212–16-0.0225%11 Jul
cache3–13-0.0822%11 Jul
mirage13–20.0622%11 Jul
mirage10–13-0.0314%8 Jul
dust213–80.1055%8 Jul
dust213–11-0.0327%2 Jul
dust23–13-0.0126%1 Jul
mirage11–130.0234%1 Jul
cache13–60.0529%1 Jul
ancient16–12-0.0025%28 Jun
anubis15–150.0015%26 Jun
dust213–9-0.1015%26 Jun
mirage15–15-0.0324%21 Jun
nuke6–130.0223%21 Jun
mirage13–90.0320%16 Jun
mirage5–130.0314%14 Jun
mirage13–70.0323%14 Jun
dust28–13-0.0416%27 May
anubis8–13-0.0517%21 May
mirage13–50.0522%21 May
dust213–80.0018%19 May
ancient13–60.0819%17 May
mirage13–2-0.0012%17 May
mirage2–3-0.0633%14 May
inferno7–13-0.0019%9 May
mirage13–6-0.0417%8 May
dust213–100.0222%8 May
inferno13–5-0.0618%7 May
anubis13–40.0426%7 May
mirage16–13-0.0117%4 May
inferno8–130.0133%2 May
mirage0–2-0.0050%2 May
dust213–10.0528%2 May
cache10–13-0.0235%2 May
cache13–80.0738%2 May
ancient13–100.0125%26 Apr
mirage13–40.0220%26 Apr
mirage12–160.0125%23 Apr
mirage9–13-0.0224%15 Apr
mirage3–13-0.0317%11 Apr
mirage4–13-0.0722%11 Apr
mirage13–30.0111%7 Apr
anubis13–100.0412%6 Apr
inferno16–12-0.0313%2 Apr
dust213–60.0820%2 Apr
mirage13–50.0219%2 Apr
nuke11–130.0332%2 Apr
mirage4–13-0.0314%2 Apr
dust23–130.0331%31 Mar
mirage10–13-0.0521%31 Mar
dust216–120.0031%31 Mar
overpass13–50.0423%30 Mar
ancient13–90.0425%30 Mar
mirage10–130.0321%29 Mar
dust216–140.0725%28 Mar
mirage13–50.1311%28 Mar
mirage13–80.0027%25 Mar
inferno2–130.0920%21 Mar
mirage16–140.0216%21 Mar
anubis13–60.0415%20 Mar
dust211–130.0527%19 Mar
mirage4–130.0629%18 Mar
mirage13–110.1421%14 Mar
dust213–110.0529%14 Mar
mirage13–3-0.0619%4 Mar
dust24–13-0.0550%15 Feb
dust29–13-0.0229%15 Feb
mirage13–30.0523%15 Feb
overpass2–11-0.090%7 Feb
dust213–60.0431%5 Feb
mirage2–70.1028%5 Feb
ancient11–130.0215%20 Jan
dust22–13-0.0227%20 Jan
dust213–100.0023%19 Jan
ancient2–130.0226%19 Jan
mirage13–50.0233%18 Jan
inferno6–13-0.0358%18 Jan
dust27–130.1030%18 Jan
anubis7–130.0019%17 Jan
inferno13–7-0.0026%15 Jan
dust211–13-0.0323%15 Jan

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 →