Flawle3ss

Flawle3ss — CS2 Stats

76561199159080604[U:1:1198814876]Steam profile ↗

1,473Tracked matches57%Win rate2023Tracked since
CSDB Rating6.1 SolidAggressive Rifler
Premier CS Rating21,377Pink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#7634 of 21672 tracked
FaceitLevel 8 · 1,477 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGFlawle3ssFACEITLevel 8 · 1,477 ELOSTANDINGTop 31.2% of rankedPREMIER21,377 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning61
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateWLWLLWLWWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.1
Aggression8.5
Utility1.8
Positioning6.1
Opening Duels3.7
Clutch5.4

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

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 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1
Positioning6.1
Utility1.8
Mechanics6.7
Opening Duels3.7
Win Impact7.2

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time543ms−38ms
first ⅓ avg 580ms → last ⅓ avg 543ms
Headshot accuracy16.8%−0.8%
first ⅓ avg 17.6% → last ⅓ avg 16.8%

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

0.17Best rating — ancient 13–4
131Biggest win — cache
6Longest win streak
511In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A29171259%0.01
mirageB1910953%0.02
cacheB189950%0.02
infernoC125742%0.01
ancientB115645%0.02
nukeS54180%0.03
anubis43175%0.04
overpass220100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

458Matches
53%Win rate
1.01Avg K/D
84.2ADR
50%Headshot %

Clutches & streaks

47%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10154%1.0417.2
Dust28547%0.9816.4
Inferno5056%0.9515.7
Anubis4755%0.9917.1
Ancient3746%0.9317.2
Nuke2756%0.9217.1
Train1369%1.1518.1
Overpass1258%0.8115.2

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.

17.0%Headshot accuracy
38.4%Accuracy (enemy spotted)
42.5%Spray accuracy
80.2%Counter-strafing
10.0°Preaim
531msReaction time
37.2%T opening success
52.7%CT opening success
0.28Enemies flashed / flash
3.6%Flash assists
9.94HE damage / grenade
0.60Flashes / 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 0.2768 — 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 37.1729% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–1-0.0515%24 Aug
mirage9–130.0011%24 Aug
dust213–110.0119%23 Aug
dust28–130.0615%23 Aug
ancient6–13-0.0114%22 Aug
nuke16–12-0.0119%22 Aug
dust27–130.0312%21 Aug
anubis13–110.0013%21 Aug
dust213–100.0114%21 Aug
inferno13–9-0.0217%20 Aug
cache9–13-0.0128%19 Aug
inferno7–13-0.0710%19 Aug
dust211–13-0.0116%18 Aug
dust213–6-0.016%18 Aug
dust213–60.0218%18 Aug
inferno13–70.0627%18 Aug
mirage13–20.0714%18 Aug
dust213–80.0614%18 Aug
dust213–20.0646%18 Aug
ancient6–13-0.034%17 Aug
ancient13–60.0110%17 Aug
ancient8–130.0117%17 Aug
anubis11–130.0222%17 Aug
mirage13–100.0125%15 Aug
mirage4–13-0.0021%15 Aug
ancient8–13-0.0417%14 Aug
mirage13–30.0620%25 Jul
cache13–11-0.0114%25 Jul
inferno4–130.0628%23 Jul
inferno13–100.0012%18 Jul
inferno11–13-0.0111%18 Jul
cache13–10-0.0018%18 Jul
dust213–80.069%18 Jul
ancient16–13-0.0012%17 Jul
dust213–6-0.0125%17 Jul
mirage4–13-0.0021%16 Jul
mirage10–130.027%16 Jul
ancient9–13-0.0117%16 Jul
cache14–160.0117%15 Jul
ancient16–130.0618%15 Jul
dust211–13-0.0715%15 Jul
mirage13–7-0.034%15 Jul
mirage13–90.0424%15 Jul
nuke13–110.1218%15 Jul
anubis13–110.0417%15 Jul
dust213–160.0113%13 Jul
ancient13–70.0322%13 Jul
mirage13–9-0.0517%13 Jul
dust213–40.0629%13 Jul
anubis13–70.0819%13 Jul
mirage13–60.1011%12 Jul
cache13–90.1017%12 Jul
dust210–13-0.0018%11 Jul
cache11–13-0.0213%11 Jul
ancient4–130.0215%11 Jul
dust28–13-0.0611%10 Jul
dust213–50.0622%10 Jul
inferno10–130.0214%10 Jul
dust213–8-0.0420%10 Jul
cache11–130.0318%9 Jul
inferno13–100.037%9 Jul
mirage7–130.0112%9 Jul
nuke13–40.0120%9 Jul
inferno13–50.098%9 Jul
mirage15–150.0116%9 Jul
mirage9–130.0119%9 Jul
ancient13–40.1725%9 Jul
dust213–16-0.0510%9 Jul
cache13–100.0214%9 Jul
dust211–130.0418%9 Jul
cache16–120.0425%9 Jul
cache13–60.0510%8 Jul
cache8–130.0317%7 Jul
cache13–70.0620%7 Jul
cache4–110.0114%7 Jul
inferno10–13-0.0220%6 Jul
mirage11–13-0.0017%6 Jul
dust213–40.0813%6 Jul
dust213–30.0515%6 Jul
nuke13–90.0529%4 Jul
inferno15–15-0.0113%4 Jul
dust27–130.0016%3 Jul
cache1–100.0522%3 Jul
dust213–16-0.0117%3 Jul
dust213–60.0923%3 Jul
mirage13–40.0833%3 Jul
nuke11–13-0.0215%2 Jul
dust216–130.0314%2 Jul
overpass13–80.0417%2 Jul
mirage13–8-0.0212%2 Jul
inferno11–130.0220%2 Jul
mirage9–30.1015%2 Jul
dust213–5-0.0120%2 Jul
dust29–13-0.0417%2 Jul
dust213–9-0.0215%2 Jul
overpass13–60.0525%2 Jul
mirage8–13-0.0316%2 Jul
cache9–130.0525%1 Jul
cache13–80.069%1 Jul
cache4–130.0315%30 Jun

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 →