flew

flew — CS2 Stats

DE76561198136948699[U:1:176682971]Steam profile ↗✓ No bans

1,213Tracked matches67%Win rate2020Tracked since
3,899Hours in CS
CSDB Rating6.5 SolidPositional Player
Premier CS Rating28,575Red band · top ~1.3% of ranked players (population est.)
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGflewFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER28,575 · Red bandcsdb.gg/stats

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Performance scores

Aim88
Positioning50
Utility36

0–100 skill scores via Leetify.

Recent form

COLD54–40–6Last 10054%Win rateLLWWLWLLLL

Last 10 vs previous 10: −50pp win rate · +0.00 avg rating · +1.8pp headshot accuracy · +5ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 514ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 529ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 526ms

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 (+1.7 against its own average).

Aim8.8
Utility3.6
Positioning5.0
Opening Duels0.9
Clutch3.8

Sharp aimerLimited 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 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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

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

Aim8.8
Positioning5.0
Utility3.6
Mechanics5.8
Opening Duels1.2
Win Impact10.0

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time510ms−32ms
first ⅓ avg 542ms → last ⅓ avg 510ms
Headshot accuracy25.0%+2.3%
first ⅓ avg 22.7% → last ⅓ avg 25.0%

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

0.16Best match rating · 13–4 · dust2, 13 Apr →
53%Best headshot accuracy · 13–4 · inferno, 20 Apr →
375msFastest reaction time · 13–4 · nuke, 20 Apr →
13–0Biggest win · anubis, 26 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 67% over 15nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB209–1145%0.00
overpassA1811–761%0.01
anubisB168–850%0.00
infernoS1510–567%0.00
nukeC104–640%-0.00
mirageA74–357%0.03
trainC73–443%0.01
dust2S64–267%0.04
office—11–0100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,501Lifetime kills
0.86K/D
5,941Matches
48.7%Match win rate
47.7%Headshot %
15.9%Shot accuracy
11,687MVPs
3,899Hours (in match)
7,345Bombs planted
1,413Bombs defused

Most-used weapons

AK-4749,097
AWP11,325
FAMAS5,219
P2503,269
UMP-452,748

Lifetime map wins

12,412inferno
4,990dust2
3,709train
2,712cbble
1,575nuke
1,438vertigo
200office
158lake

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

Faceit stats

Combat

2,780Matches
54%Win rate
0.99Avg K/D
76.8ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
40Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient15558%1.1315.5
Inferno14352%1.2315.5
Anubis10856%1.0414.9
Overpass8858%1.1616.2
Train7953%1.0516.3
Nuke6751%1.0814.8
Dust21547%0.9415.1
Mirage1267%1.2416.4

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
37.7%Accuracy (enemy spotted)
41.9%Spray accuracy
76.2%Counter-strafing
8.9°Preaim
510msReaction time
25.2%T opening success
39.9%CT opening success
0.33Enemies flashed / flash
5.7%Flash assists
9.53HE damage / grenade
3.41Flashes / 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 0.3345 — 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 25.159% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–16-0.0417%14 May →
anubis3–13-0.0421%29 Apr →
anubis13–80.0222%25 Apr →
inferno13–60.0218%23 Apr →
ancient11–13-0.0633%21 Apr →
anubis13–5-0.0638%21 Apr →
ancient8–13-0.0223%21 Apr →
inferno4–130.0436%21 Apr →
anubis2–13-0.0127%21 Apr →
anubis9–13-0.0518%21 Apr →
overpass13–11-0.0526%21 Apr →
mirage13–50.0114%21 Apr →
overpass13–8-0.0311%21 Apr →
inferno16–13-0.0032%21 Apr →
ancient13–80.0419%21 Apr →
nuke11–13-0.0729%20 Apr →
anubis13–6-0.0725%20 Apr →
overpass4–13-0.0127%20 Apr →
nuke13–4-0.0429%20 Apr →
overpass13–80.0123%20 Apr →
inferno13–90.0045%20 Apr →
mirage16–12-0.0315%20 Apr →
inferno13–40.1053%20 Apr →
ancient6–90.0021%20 Apr →
ancient13–10-0.0218%18 Apr →
inferno13–90.0222%18 Apr →
nuke13–50.0815%18 Apr →
anubis13–60.0420%18 Apr →
ancient13–30.0626%17 Apr →
inferno13–100.0619%17 Apr →
ancient13–30.0237%17 Apr →
overpass10–130.0324%17 Apr →
mirage14–16-0.0424%16 Apr →
anubis11–130.0819%16 Apr →
mirage13–70.1022%16 Apr →
nuke8–130.0111%16 Apr →
overpass13–80.0819%16 Apr →
anubis13–90.0424%16 Apr →
dust28–13-0.069%16 Apr →
inferno16–12-0.0120%16 Apr →
ancient13–80.0729%16 Apr →
inferno13–7-0.019%16 Apr →
anubis10–13-0.0518%15 Apr →
ancient14–160.0121%15 Apr →
ancient15–15-0.0121%14 Apr →
anubis10–13-0.0031%14 Apr →
dust213–40.1650%13 Apr →
anubis8–130.0033%13 Apr →
inferno13–70.0526%13 Apr →
overpass11–130.0117%13 Apr →
anubis15–150.0428%13 Apr →
mirage15–15-0.0124%13 Apr →
nuke2–13-0.0538%12 Apr →
dust213–9-0.0232%12 Apr →
inferno13–80.0019%12 Apr →
ancient7–13-0.0226%12 Apr →
dust213–40.0623%4 Apr →
dust24–13-0.0611%3 Apr →
overpass13–90.0523%29 Mar →
inferno5–13-0.0329%29 Mar →
overpass15–150.0215%21 Mar →
inferno4–13-0.1129%21 Mar →
overpass13–70.0523%17 Mar →
mirage13–110.0638%17 Mar →
dust213–70.1631%12 Mar →
ancient11–13-0.0520%10 Mar →
overpass13–3-0.0118%10 Mar →
ancient13–60.0224%6 Mar →
office13–90.0630%23 Jan →
train12–120.0831%9 Jan →
nuke8–80.0733%6 Jan →
ancient13–30.1027%5 Jan →
train10–130.0434%5 Jan →
ancient13–30.0135%3 Jan →
overpass13–110.1424%3 Jan →
mirage7–130.1037%28 Dec →
anubis13–00.1246%26 Dec →
ancient8–13-0.0911%28 Aug →
nuke13–50.0114%27 Aug →
train16–12-0.0329%26 Aug →
ancient13–30.0527%25 Aug →
nuke20–22-0.0022%25 Aug →
nuke13–40.0221%24 Aug →
overpass13–100.0621%22 Aug →
overpass8–130.0326%19 Aug →
overpass25–230.0016%19 Aug →
ancient5–13-0.0410%18 Aug →
train13–80.0316%8 Aug →
overpass13–100.0016%7 Aug →
overpass8–13-0.1024%26 Jul →
nuke8–13-0.0421%23 Jul →
ancient10–130.0213%22 Jul →
overpass6–13-0.0220%18 Jul →
inferno7–13-0.0530%17 Jul →
ancient13–16-0.0214%8 Jul →
train13–110.0314%8 Jul →
train8–13-0.0620%28 Jun →
train10–130.0016%27 Jun →
anubis13–10-0.0313%27 Jun →
anubis13–3-0.0117%19 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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