Crowszyy

Crowszyy — CS2 Stats

RU76561198888136189[U:1:927870461]Steam profile ↗✓ No bans

1,410Tracked matches62%Win rate2020Tracked since
3,005Hours in CS
CSDB Rating6.0 SolidOpening Duellist
FaceitLevel 6 · 846 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,165 +1,877 25 Aug – 14 Sept · 8 days played
16,28818,165peak 18,16525 Aug14 Sept
Faceit ELO: 846 +0 30 Aug – 4 Sept · 3 observations
846846peak 84630 Aug4 Sept
18,165Peak Premier in tracked matches
846Highest Faceit ELO seen on CSDB
32Days played since 2026-08-24

Faceit ELO

  • At peak — 846
  • Next: Level 4 at 901 — 55 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-30
  • Level 2 first seen 2026-08-30

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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate48.8%44.8%45.7%above
Shot accuracy11.6%12.4%12.7%1.2% short
Kill/death ratio0.931.031.050.12 short
Match win rate45.2%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCrowszyyFACEITLevel 6 · 846 ELOSTANDINGTop 54.0% of rankedPEAK ELO846csdb.gg/stats

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Performance scores

Aim73
Positioning70
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY57–34–9Last 10057%Win rateWLWWWLLWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +3.9pp headshot accuracy · −63ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 581ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 567ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 599ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+3.1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.3
Utility1.8
Positioning7.0
Opening Duels7.2
Clutch0.6

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

s1mple

Plays most like s1mple 71% 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

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. 583ms 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

Aim7.3
Positioning7.0
Utility1.8
Mechanics6.8
Opening Duels8.4
Win Impact9.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time593ms−4ms
first ⅓ avg 597ms → last ⅓ avg 593ms
Headshot accuracy24.1%+6.1%
first ⅓ avg 17.9% → last ⅓ avg 24.1%

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

0.19Best match rating · 13–4 · nuke, 30 Aug →
48%Best headshot accuracy · 13–11 · train, 24 Oct →
445msFastest reaction time · 10–0 · mirage, 30 Aug →
13–0Biggest win · inferno, 24 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S2114–767%0.03
mirageS1510–567%0.02
infernoD123–925%0.01
anubisB105–550%0.01
ancientC94–544%-0.00
trainA95–456%0.04
nukeS86–275%0.04
cacheA74–357%0.01
officeA53–260%-0.00
overpass—32–167%0.09
shelter—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,628Lifetime kills
0.93K/D
5,044Matches
45.2%Match win rate
48.8%Headshot % · Top 50% of Level 6 players
11.6%Shot accuracy
12,217MVPs
3,005Hours (in match)
3,389Bombs planted
1,092Bombs defused

Most-used weapons

AK-4733,241
AWP12,062
FAMAS3,208
Negev3,048
SG 5532,428

Lifetime map wins

8,723inferno
7,586dust2
2,267nuke
2,100train
1,495vertigo
519office
175cbble
154italy

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

Faceit stats

Combat

487Matches
52%Win rate
1.00Avg K/D
83.8ADR
45%Headshot %

Clutches & streaks

23%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2065%1.0115.3
Nuke1292%1.4317.5
Dust21275%1.1815.3
Inferno1050%1.0814.8
Anubis450%1.2618.8
Cache450%0.7412.5
Ancient367%1.1313.0
Overpass30%0.548.7

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.

24.3%Headshot accuracy
30.6%Accuracy (enemy spotted)
29.9%Spray accuracy
80.6%Counter-strafing
7.8°Preaim
583msReaction time
67.5%T opening success
59.7%CT opening success
0.38Enemies flashed / flash
2.8%Flash assists
6.07HE damage / grenade
2.41Flashes / 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 0.377 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–40.0619%2 Nov →
inferno8–130.0018%30 Oct →
dust213–90.0524%30 Oct →
mirage10–30.0128%30 Oct →
nuke13–30.0727%30 Oct →
anubis10–130.0422%26 Oct →
ancient7–13-0.0420%25 Oct →
train13–110.0848%24 Oct →
inferno13–00.0247%24 Oct →
anubis13–160.0129%24 Oct →
mirage13–20.078%11 Oct →
dust213–10-0.0221%10 Oct →
train6–00.0126%9 Oct →
train13–110.0626%9 Oct →
office13–7-0.0527%6 Oct →
dust212–120.0331%6 Oct →
dust213–90.1042%4 Oct →
anubis13–70.0627%4 Oct →
dust27–130.0324%22 Sept →
inferno7–13-0.0611%22 Sept →
mirage13–30.0421%22 Sept →
inferno11–130.0019%21 Sept →
anubis13–40.0122%21 Sept →
mirage11–13-0.0510%20 Sept →
train13–60.0721%20 Sept →
overpass13–90.1820%19 Sept →
anubis13–40.0130%19 Sept →
cache8–13-0.0417%19 Sept →
dust23–130.0017%19 Sept →
inferno4–13-0.0030%18 Sept →
dust213–110.0719%18 Sept →
anubis12–12-0.0021%17 Sept →
anubis8–13-0.0523%17 Sept →
dust213–3-0.028%14 Sept →
ancient5–13-0.0710%14 Sept →
ancient11–13-0.0122%14 Sept →
mirage5–90.0720%14 Sept →
mirage3–20.067%14 Sept →
dust213–70.0516%13 Sept →
train11–130.0828%13 Sept →
dust213–100.0520%13 Sept →
dust25–130.037%13 Sept →
cache12–120.0223%13 Sept →
nuke13–60.0013%12 Sept →
inferno13–20.1116%12 Sept →
ancient13–8-0.0417%12 Sept →
cache6–13-0.0318%12 Sept →
inferno13–50.0217%12 Sept →
mirage4–11-0.033%11 Sept →
dust213–10-0.0427%11 Sept →
mirage13–00.1027%11 Sept →
train13–40.0218%11 Sept →
overpass13–50.0312%10 Sept →
anubis13–110.0122%10 Sept →
train12–12-0.0321%6 Sept →
cache13–80.0314%6 Sept →
ancient13–60.046%6 Sept →
ancient13–60.0421%6 Sept →
inferno6–130.018%5 Sept →
nuke13–6-0.0617%5 Sept →
ancient11–13-0.0318%5 Sept →
anubis13–30.0711%5 Sept →
nuke6–130.0714%5 Sept →
nuke3–13-0.0318%4 Sept →
inferno6–13-0.0011%4 Sept →
office13–110.0421%3 Sept →
shelter13–70.0114%3 Sept →
mirage13–40.0718%3 Sept →
train12–120.0118%3 Sept →
office12–12-0.0419%3 Sept →
dust213–40.1314%3 Sept →
train6–130.0312%2 Sept →
mirage13–80.0216%2 Sept →
office4–13-0.0029%2 Sept →
office13–50.0316%2 Sept →
ancient13–30.0323%2 Sept →
inferno10–130.0414%2 Sept →
inferno8–130.0720%2 Sept →
dust213–80.0523%2 Sept →
nuke13–90.0616%2 Sept →
dust213–11-0.0120%2 Sept →
dust213–50.0220%31 Aug →
cache13–5-0.0119%31 Aug →
cache13–40.0921%31 Aug →
dust211–130.0412%30 Aug →
anubis12–12-0.0217%30 Aug →
dust213–100.0524%30 Aug →
mirage10–00.000%30 Aug →
nuke13–40.1918%30 Aug →
dust213–5-0.0233%27 Aug →
mirage13–4-0.0120%27 Aug →
inferno4–8-0.086%26 Aug →
cache13–3-0.0119%26 Aug →
nuke13–6-0.0122%25 Aug →
ancient15–150.0715%25 Aug →
mirage0–7-0.127%25 Aug →
dust23–130.0015%25 Aug →
dust25–13-0.0227%25 Aug →
overpass10–130.0722%25 Aug →
mirage12–12-0.0218%24 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.