Crownd

Crownd — CS2 Stats

AX76561197977355272[U:1:17089544]Steam profile ↗✓ No bans

1,068Tracked matches46%Win rate2020Tracked since
3,211Hours in CS
CSDB Rating6.6 SolidPositional Player
Premier CS Rating19,999Top 50% of 215,386 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#86394 of 261610 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,999 +1,383 21 Jul – 4 Nov · 36 days played
17,98922,219peak 22,21921 Jul4 Nov
22,219Peak Premier in tracked matches
36Days played since 2026-07-10

Premier CS Rating

  • 2,220 below peak (22,219)
  • -217 over 30 days · steady
  • +1,134 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-01

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 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 rate57.1%44.8%45.7%above
Shot accuracy13.3%12.4%12.7%above
Kill/death ratio1.061.031.05meets
Match win rate40.6%45.2%45.7%5.1% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGCrowndFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim85
Positioning62
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLWLTLLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.3pp headshot accuracy · +44ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 520ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 573ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 551ms

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 (+1.3 against its own average).

Aim8.5
Utility5.9
Positioning6.2
Opening Duels1.5
Clutch6.0

Sharp aimer

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

iM

Plays most like iM 89% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

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

Aim8.5
Positioning6.2
Utility5.9
Mechanics7.9
Opening Duels3.5
Win Impact3.8

Composite 6.6/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time534ms−58ms
first ⅓ avg 591ms → last ⅓ avg 534ms
Headshot accuracy19.8%−0.4%
first ⅓ avg 20.3% → last ⅓ avg 19.8%

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.

Personal bests

0.26Best match rating · 9–2 · inferno, 15 Oct →
50%Best headshot accuracy · 13–5 · anubis, 15 Oct →
422msFastest reaction time · 13–5 · inferno, 30 Sept →
13–1Biggest win · inferno, 16 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 86% over 21nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2118–386%0.05
dust2D186–1233%0.00
ancientB157–847%0.02
cacheA149–564%0.01
mirageB147–750%-0.01
anubisD124–833%0.00
nukeD51–420%0.00
debris—10–10%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

205,573Lifetime kills
1.06K/D · Top 50% of Level 6 players
7,095Matches
40.6%Match win rate
57.1%Headshot % · Top 10% of Level 6 players
13.3%Shot accuracy · Top 50% of Level 6 players
14,487MVPs
3,211Hours (in match)
7,527Bombs planted
1,615Bombs defused

Most-used weapons

AK-4797,816
AWP21,044
SSG 083,179
P2502,494
Knife1,770

Lifetime map wins

15,196inferno
6,467dust2
3,991train
3,743nuke
3,576cbble
702vertigo
136aztec
76dust

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

Faceit stats

Combat

528Matches
52%Win rate
1.06Avg K/D
79.2ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1587%1.1816.0
Ancient1258%1.3919.4
Mirage1127%0.9614.8
Anubis825%0.8613.3
Overpass862%1.0915.3
Nuke450%1.4219.3
Dust2250%1.1615.0
Cache2100%1.3015.0

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.

20.1%Headshot accuracy
36.5%Accuracy (enemy spotted)
34.1%Spray accuracy
85.4%Counter-strafing
7.7°Preaim
523msReaction time
50.6%T opening success
37.4%CT opening success
0.68Enemies flashed / flash
4.0%Flash assists
7.73HE damage / grenade
9.21Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.3795% — 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.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0316%4 Nov →
cache11–130.0022%4 Nov →
anubis13–60.0319%25 Oct →
ancient11–130.0019%20 Oct →
nuke15–150.039%20 Oct →
dust214–160.0117%16 Oct →
mirage1–13-0.0723%16 Oct →
ancient13–5-0.0325%16 Oct →
inferno13–50.0519%16 Oct →
cache10–130.0523%16 Oct →
inferno13–60.0720%16 Oct →
anubis13–5-0.0450%15 Oct →
dust27–130.0818%15 Oct →
debris3–9-0.0314%15 Oct →
inferno9–20.2616%15 Oct →
nuke9–50.007%15 Oct →
mirage6–13-0.0340%9 Oct →
ancient11–13-0.068%9 Oct →
ancient15–150.0314%9 Oct →
mirage13–40.0218%9 Oct →
ancient10–13-0.0215%30 Sept →
nuke7–130.0129%30 Sept →
cache13–70.1215%30 Sept →
inferno13–5-0.005%30 Sept →
dust29–13-0.0219%28 Sept →
dust211–130.0023%28 Sept →
inferno3–13-0.097%28 Sept →
dust211–130.0624%23 Sept →
inferno13–40.0719%23 Sept →
anubis9–130.0433%23 Sept →
dust213–110.0421%22 Sept →
inferno13–50.0416%22 Sept →
mirage12–20.0430%22 Sept →
anubis10–130.0425%16 Sept →
ancient13–30.099%16 Sept →
dust213–80.0520%16 Sept →
cache13–40.1133%16 Sept →
cache2–13-0.0529%15 Sept →
anubis13–20.0614%14 Sept →
mirage9–13-0.0318%14 Sept →
cache13–90.0328%14 Sept →
inferno15–150.0222%10 Sept →
mirage13–90.0223%9 Sept →
anubis13–80.0217%9 Sept →
ancient3–13-0.0025%9 Sept →
inferno13–40.0525%8 Sept →
ancient6–130.0319%1 Sept →
mirage9–13-0.0515%28 Aug →
dust24–13-0.029%28 Aug →
ancient13–40.1221%28 Aug →
cache15–15-0.0115%28 Aug →
inferno9–130.0028%21 Aug →
dust213–6-0.0535%21 Aug →
cache13–10-0.0622%21 Aug →
mirage16–14-0.0118%20 Aug →
dust24–130.0122%20 Aug →
inferno13–70.1025%20 Aug →
cache13–7-0.0033%20 Aug →
mirage16–12-0.0316%17 Aug →
inferno13–100.1026%17 Aug →
cache13–100.0327%17 Aug →
ancient13–90.0315%16 Aug →
inferno13–10.0924%16 Aug →
dust210–130.0123%16 Aug →
mirage9–130.0018%14 Aug →
ancient16–14-0.0415%14 Aug →
anubis3–13-0.0228%13 Aug →
cache4–13-0.1027%13 Aug →
ancient9–13-0.0523%13 Aug →
dust22–13-0.0630%11 Aug →
anubis11–130.0224%11 Aug →
inferno13–20.0113%11 Aug →
dust213–7-0.0211%10 Aug →
mirage13–90.0228%10 Aug →
cache13–110.0224%6 Aug →
dust25–13-0.0821%3 Aug →
inferno13–30.059%3 Aug →
nuke6–130.0015%3 Aug →
mirage2–13-0.1412%3 Aug →
dust213–40.0132%3 Aug →
anubis9–130.0326%3 Aug →
nuke11–13-0.0218%29 Jul →
dust29–13-0.0017%29 Jul →
ancient7–13-0.0317%27 Jul →
inferno13–60.1427%27 Jul →
inferno13–110.0528%24 Jul →
ancient13–20.1114%24 Jul →
dust213–110.0029%24 Jul →
dust211–130.0221%21 Jul →
inferno16–13-0.0115%21 Jul →
anubis5–13-0.0513%19 Jul →
cache13–100.0519%19 Jul →
anubis9–13-0.0419%19 Jul →
ancient13–80.1214%19 Jul →
mirage13–60.0511%19 Jul →
mirage9–13-0.0128%16 Jul →
inferno13–40.0421%16 Jul →
cache13–7-0.0418%16 Jul →
inferno13–50.0936%15 Jul →
anubis2–13-0.0510%10 Jul →

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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