Flaw

Flaw — CS2 Stats

US76561199824481438[U:1:1864215710]Steam profile ↗✓ No bans

1,120Tracked matches54%Win rate2025Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating18,843Top 50% of 203,724 CSDB-tracked playersPurple band · top ~13.1% of ranked players (population est.)
CSDB Leaderboard#97241 of 250956 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,120 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,843 +2,189 26 May – 15 Sept · 14 days played
14,87818,843peak 18,84326 May15 Sept
18,843Peak Premier in tracked matches
1,152Highest Faceit ELO seen on CSDB
33Days played since 2026-05-26

Faceit ELO

  • At peak — 1,152
  • Next: Level 6 at 1,201 — 49 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-15
  • Level 4 first seen 2026-09-15

Premier CS Rating

  • At peak — 18,843
  • +3,363 over 90 days
  • Next: Pink band at 20,000 — 1,157 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGFlawPREMIER18,843 · Purple bandPEAK ELO1,152csdb.gg/stats

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Performance scores

Aim68
Positioning45
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateWWLLWLLLLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · +23ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 614ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 624ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 613ms

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 (+1.4 against its own average).

Aim6.8
Utility4.2
Positioning4.5
Opening Duels1.2
Clutch2.4

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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim6.8
Positioning4.5
Utility4.2
Mechanics6.9
Opening Duels1.2
Win Impact6.3

Composite 5.4/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time619ms−7ms
first ⅓ avg 626ms → last ⅓ avg 619ms
Headshot accuracy19.6%−1.5%
first ⅓ avg 21.1% → last ⅓ avg 19.6%

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

0.13Best match rating · 13–2 · dust2, 18 Aug →
53%Best headshot accuracy · 2–13 · vertigo, 30 May →
375msFastest reaction time · 8–0 · inferno, 18 Aug →
13–1Biggest win · anubis, 17 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
7–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 82% over 11infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B179–853%0.01
nukeA148–657%-0.01
mirageC146–843%0.00
ancientA138–562%0.01
infernoD134–931%0.01
anubisS119–282%-0.01
cacheB105–550%0.00
overpass—41–325%-0.02
train—20–20%0.03
vertigo—20–20%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

38Matches
55%Win rate
1.39Avg K/D
80.8ADR
39%Headshot %

Clutches & streaks

32%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1040%1.1516.1
Mirage978%1.5215.4
Dust2714%1.0214.4
Nuke683%1.2415.7
Inferno667%2.1618.5

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.

20.3%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.0%Spray accuracy
81.2%Counter-strafing
8.6°Preaim
629msReaction time
22.8%T opening success
39.7%CT opening success
0.40Enemies flashed / flash
9.3%Flash assists
9.38HE damage / grenade
3.29Flashes / 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 0.4029 — 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 22.789% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0617%28 Aug →
mirage4–00.010%26 Aug →
ancient5–13-0.0318%26 Aug →
dust22–13-0.0518%25 Aug →
nuke13–80.0427%24 Aug →
inferno10–13-0.0222%24 Aug →
dust25–13-0.0314%22 Aug →
ancient7–130.0026%22 Aug →
inferno9–130.0333%21 Aug →
inferno12–7-0.0119%19 Aug →
nuke12–120.0520%19 Aug →
cache12–120.0116%19 Aug →
cache11–130.0115%18 Aug →
dust213–20.1332%18 Aug →
inferno8–0-0.050%18 Aug →
anubis13–10.0420%17 Aug →
inferno7–130.0427%15 Aug →
dust213–30.1125%15 Aug →
inferno13–90.0228%15 Aug →
inferno11–5-0.0118%14 Aug →
inferno2–13-0.0410%14 Aug →
dust212–12-0.0412%14 Aug →
dust211–13-0.0317%12 Aug →
mirage13–40.0232%12 Aug →
inferno12–12-0.0511%12 Aug →
ancient13–11-0.0012%29 Jul →
inferno5–13-0.0433%29 Jul →
nuke13–6-0.0423%22 Jul →
cache5–13-0.0420%29 Jun →
ancient13–100.0724%29 Jun →
dust213–70.0318%29 Jun →
mirage13–7-0.0226%27 Jun →
overpass13–7-0.0015%27 Jun →
nuke13–10-0.0520%27 Jun →
dust213–16-0.0324%27 Jun →
ancient13–80.0911%27 Jun →
anubis13–8-0.0312%25 Jun →
dust213–70.0119%25 Jun →
nuke13–4-0.0724%25 Jun →
ancient11–13-0.049%25 Jun →
ancient13–7-0.0414%25 Jun →
dust213–30.0319%25 Jun →
anubis6–130.0111%24 Jun →
cache13–40.0018%23 Jun →
anubis13–11-0.028%23 Jun →
ancient13–4-0.033%23 Jun →
dust216–140.0617%23 Jun →
nuke13–11-0.037%22 Jun →
dust210–13-0.0525%22 Jun →
ancient11–13-0.0910%22 Jun →
dust213–70.0420%22 Jun →
anubis13–5-0.055%22 Jun →
overpass10–13-0.059%22 Jun →
mirage13–40.039%22 Jun →
nuke6–13-0.0113%21 Jun →
cache10–13-0.058%21 Jun →
cache10–130.0413%20 Jun →
train11–130.0221%20 Jun →
cache13–8-0.0215%20 Jun →
anubis13–10.0245%20 Jun →
cache13–30.0526%18 Jun →
nuke3–0-0.070%18 Jun →
anubis13–4-0.0417%18 Jun →
ancient13–110.0425%18 Jun →
dust213–110.0215%18 Jun →
vertigo9–13-0.0210%18 Jun →
dust212–12-0.029%18 Jun →
nuke12–12-0.0421%17 Jun →
inferno5–130.1122%17 Jun →
train8–130.0428%10 Jun →
mirage4–13-0.0215%9 Jun →
nuke2–13-0.0212%9 Jun →
inferno12–120.0732%9 Jun →
ancient13–70.0021%9 Jun →
nuke10–130.0129%8 Jun →
mirage6–13-0.046%8 Jun →
nuke9–13-0.0210%2 Jun →
ancient13–70.1114%2 Jun →
cache13–90.0020%2 Jun →
overpass10–130.0215%2 Jun →
dust213–70.0036%31 May →
cache13–1-0.0028%31 May →
ancient10–130.0219%31 May →
nuke13–110.0014%31 May →
anubis16–12-0.0121%30 May →
vertigo2–13-0.0153%30 May →
anubis13–70.1126%30 May →
anubis13–9-0.0128%29 May →
dust28–130.0116%29 May →
inferno13–160.0722%29 May →
mirage7–130.0224%29 May →
mirage5–130.0329%29 May →
mirage8–13-0.0414%29 May →
mirage13–100.0621%29 May →
mirage7–13-0.0319%27 May →
mirage13–80.0117%27 May →
mirage12–160.048%27 May →
mirage3–13-0.0220%26 May →
anubis7–13-0.0823%26 May →
overpass6–13-0.0616%26 May →

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 →

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