CRWLY

CRWLY — CS2 Stats

VA76561198098219799[U:1:137954071]Steam profile ↗✓ No bans

862Tracked matches50%Win rate2021Tracked since
1,492Hours in CS
CSDB Rating5.2 DevelopingPositional Player
CSDB Leaderboard#90116 of 257743 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,644 -960 3 Mar – 22 May · 17 days played
19,33822,040peak 22,0403 Mar22 May
22,565Peak Premier in tracked matches
24Days played since 2026-03-03

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate41.6%43.8%44.8%3.2% short
Shot accuracy11.6%12.0%12.4%0.8% short
Kill/death ratio0.951.021.030.08 short
Match win rate41.2%44.7%45.2%4.0% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCRWLYFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning46
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLLWLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +9.8pp headshot accuracy · −31ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 609ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 598ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 614ms

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).

Aim6.5
Utility3.3
Positioning4.6
Opening Duels3.6
Clutch0.0

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

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

Reaction time. 608ms 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

Aim6.5
Positioning4.6
Utility3.3
Mechanics6.9
Opening Duels2.9
Win Impact5.0

Composite 5.2/10 (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 rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time609ms+5ms
first ⅓ avg 604ms → last ⅓ avg 609ms
Headshot accuracy19.7%+2.1%
first ⅓ avg 17.6% → last ⅓ avg 19.7%

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

0.12Best match rating · 9–3 · inferno, 28 Apr →
43%Best headshot accuracy · 2–13 · cache, 28 Apr →
398msFastest reaction time · 11–13 · anubis, 11 Mar →
13–1Biggest win · overpass, 17 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 67% over 12cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2010–1050%-0.01
nukeA1911–858%-0.01
ancientC167–944%-0.01
infernoS128–467%-0.01
dust2D124–833%-0.04
anubisA95–456%0.01
overpassC73–443%-0.00
cacheD51–420%-0.01

Across the last 100 tracked matches.

Lifetime stats

66,602Lifetime kills
0.95K/D
3,427Matches
41.2%Match win rate
41.6%Headshot %
11.6%Shot accuracy
7,524MVPs
1,492Hours (in match)
2,863Bombs planted
697Bombs defused

Most-used weapons

AK-4723,851
AWP9,819
P2501,706
FAMAS1,144
Tec-91,032

Lifetime map wins

7,663dust2
4,151inferno
2,598nuke
1,426train
989cbble
704vertigo
182office
82italy

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

Faceit stats

Combat

57Matches
56%Win rate
1.05Avg K/D
75.5ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Train1100%1.7017.0
Mirage1100%0.8814.0
Inferno10%0.9417.0
Ancient10%0.459.0
Overpass1100%0.9313.0

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.

19.6%Headshot accuracy
31.4%Accuracy (enemy spotted)
33.0%Spray accuracy
81.1%Counter-strafing
9.2°Preaim
608msReaction time
34.5%T opening success
48.6%CT opening success
0.51Enemies flashed / flash
3.0%Flash assists
6.44HE 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2855 — below the 4 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 34.4991% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno11–40.0324%11 Sept →
dust210–130.0121%11 Sept →
mirage6–13-0.0740%22 May →
nuke13–70.0311%22 May →
dust27–13-0.1320%22 May →
mirage13–70.0117%22 May →
cache13–8-0.0119%29 Apr →
cache8–130.0023%29 Apr →
cache3–13-0.0322%29 Apr →
cache2–13-0.0743%28 Apr →
cache8–130.0417%28 Apr →
inferno9–3-0.033%28 Apr →
inferno9–30.1212%28 Apr →
mirage13–90.0314%27 Apr →
ancient13–10-0.0110%27 Apr →
nuke5–13-0.0441%26 Apr →
inferno2–13-0.060%25 Apr →
mirage13–6-0.0311%25 Apr →
overpass1–13-0.076%25 Apr →
inferno9–13-0.0128%23 Apr →
nuke13–10-0.0317%23 Apr →
mirage9–130.0113%23 Apr →
overpass10–130.0020%23 Apr →
ancient13–70.0329%23 Apr →
dust213–9-0.0329%23 Apr →
ancient13–9-0.0111%23 Apr →
anubis13–90.0311%23 Apr →
nuke13–11-0.0217%22 Apr →
dust213–6-0.0423%22 Apr →
ancient11–130.0517%22 Apr →
dust210–13-0.0621%22 Apr →
anubis13–5-0.0220%22 Apr →
mirage13–40.0842%22 Apr →
inferno13–90.0113%22 Apr →
ancient13–11-0.0215%22 Apr →
nuke13–8-0.0513%22 Apr →
nuke13–40.048%22 Apr →
ancient10–13-0.0415%22 Apr →
ancient12–16-0.0219%18 Apr →
dust26–13-0.0026%17 Apr →
overpass13–10.0822%17 Apr →
inferno6–9-0.1819%17 Apr →
nuke13–160.0415%16 Apr →
mirage8–13-0.0321%16 Apr →
anubis5–13-0.0128%13 Apr →
nuke13–11-0.103%17 Mar →
dust216–14-0.0315%17 Mar →
mirage14–16-0.0217%17 Mar →
anubis13–8-0.028%17 Mar →
ancient15–15-0.0515%14 Mar →
nuke9–13-0.056%14 Mar →
ancient11–13-0.0514%14 Mar →
inferno13–9-0.036%14 Mar →
ancient5–13-0.068%14 Mar →
nuke9–13-0.0119%14 Mar →
mirage13–10.089%13 Mar →
ancient10–13-0.0423%13 Mar →
mirage1–13-0.0611%13 Mar →
nuke3–130.0813%13 Mar →
overpass13–30.0013%13 Mar →
dust210–13-0.0513%13 Mar →
ancient11–13-0.048%12 Mar →
inferno13–110.0018%12 Mar →
mirage5–13-0.0522%11 Mar →
dust213–80.0517%11 Mar →
mirage13–70.0615%11 Mar →
mirage4–13-0.0213%11 Mar →
overpass9–13-0.0415%11 Mar →
anubis11–130.0119%11 Mar →
ancient13–70.0020%11 Mar →
mirage13–16-0.0213%10 Mar →
nuke9–13-0.0315%10 Mar →
mirage16–130.0217%10 Mar →
dust213–16-0.0716%10 Mar →
inferno13–30.0113%10 Mar →
nuke13–40.0213%10 Mar →
inferno16–140.0524%10 Mar →
ancient13–90.0711%10 Mar →
anubis4–13-0.0316%8 Mar →
nuke13–16-0.0115%8 Mar →
dust212–16-0.0418%7 Mar →
nuke13–50.0113%7 Mar →
anubis15–15-0.0317%7 Mar →
mirage13–7-0.039%7 Mar →
overpass13–60.0116%7 Mar →
mirage7–13-0.0713%7 Mar →
dust210–13-0.057%6 Mar →
mirage13–70.0223%6 Mar →
ancient13–11-0.0212%6 Mar →
anubis10–30.0927%6 Mar →
nuke13–7-0.0224%6 Mar →
inferno15–15-0.0214%6 Mar →
overpass15–150.0119%4 Mar →
anubis13–30.0235%3 Mar →
ancient13–160.0322%3 Mar →
mirage7–13-0.0213%3 Mar →
nuke6–13-0.0126%3 Mar →
nuke13–6-0.0325%3 Mar →
mirage13–70.0121%3 Mar →
nuke13–50.0322%3 Mar →

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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