-500 elo enjoyer (ty volvo)

-500 elo enjoyer (ty volvo) — CS2 Stats

76561198384241306[U:1:423975578]Steam profile ↗✓ No bans

493Tracked matches52%Win rate2023Tracked since
1,071Hours in CS4Hrs last 2 wks
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating11,495Blue band · top ~47% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (13 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 27 days played since 25 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,495 +1,152 25 Jul6 Sept · 27 days played
8,95212,998peak 12,99825 Jul6 Sept
12,998Peak Premier in tracked matches
27Days played since 2026-07-25

Premier CS Rating

  • 1,503 below peak (12,998)
  • +1,221 over 30 days · improving
  • Next: Purple band at 15,000 3,505 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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 Blue band among CSDB-tracked players (n=19,962), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.7%41.9%44.3%2.7% short
Shot accuracy0.6%9.6%11.8%11.2% short
Kill/death ratio1.030.981.03meets
Match win rate45.0%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG-500 elo enjoyer (ty volv…PREMIER11,495 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning45
Utility40

0–100 skill scores via Leetify.

Recent form

COLD54424Last 10054%Win rateLLLWWLTWLL

Last 10 vs previous 10: −50pp win rate · −0.07 avg rating · −3.1pp headshot accuracy · +52ms reaction

Win rate down 50pp 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

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 642ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 610ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 585ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.3 against its own average).

Aim6.5
Utility4.0
Positioning4.5
Opening Duels0.4
Clutch6.0

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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

Reaction time. 600ms 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
Positioning4.5
Utility4.0
Mechanics5.8
Opening Duels0.4
Win Impact5.6

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time598ms−79ms
first ⅓ avg 677ms → last ⅓ avg 598ms
Headshot accuracy15.5%+1.0%
first ⅓ avg 14.4% → last ⅓ avg 15.5%

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 · 13–2 · mirage, 5 Aug
35%Best headshot accuracy · 6–13 · inferno, 26 Jul
438msFastest reaction time · 9–13 · inferno, 30 Aug
13–1Biggest win · inferno, 2 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
76In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 80% over 10cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB30151550%-0.01
anubisA1811761%0.01
nukeB137654%-0.01
ancientA127558%-0.00
mirageC104640%-0.01
dust2S108280%0.01
cacheD62433%-0.02
vertigo1010%-0.05

Across the last 100 tracked matches.

Lifetime stats

20,958Lifetime kills
1.03K/D · Top 50% of Blue band
1,402Matches
45.0%Match win rate · Top 50% of Blue band
41.7%Headshot %
0.6%Shot accuracy
2,480MVPs
551Hours (in match)
1,673Bombs planted
368Bombs defused

Most-used weapons

Lifetime map wins

2,966inferno
2,141dust2
841vertigo
810nuke
440train
7ar_shoots
5ar_baggage
4italy

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

Faceit stats

Combat

36Matches
47%Win rate
0.71Avg K/D
66.3ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2045%0.669.1
Inferno650%0.6611.5
Overpass333%0.7410.7
Dust23100%1.0714.3
Vertigo10%0.5910.0
Nuke10%0.303.0
Ancient1100%1.6213.0
Anubis10%0.447.0

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.

15.1%Headshot accuracy
36.5%Accuracy (enemy spotted)
38.3%Spray accuracy
76.0%Counter-strafing
10.2°Preaim
600msReaction time
24.4%T opening success
33.1%CT opening success
0.48Enemies flashed / flash
4.6%Flash assists
5.50HE damage / grenade
4.57Flashes / 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 0.4816 — 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 24.3582% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0914%6 Sept
inferno8–13-0.0219%6 Sept
anubis6–13-0.0211%6 Sept
nuke13–10-0.0711%5 Sept
inferno13–100.0127%5 Sept
mirage9–13-0.0318%30 Aug
ancient15–15-0.0410%30 Aug
anubis13–7-0.0513%30 Aug
inferno9–13-0.096%30 Aug
nuke3–13-0.0610%30 Aug
inferno13–60.0514%27 Aug
inferno11–13-0.0119%27 Aug
nuke13–8-0.0215%24 Aug
dust213–10-0.068%24 Aug
nuke13–80.0619%23 Aug
anubis13–30.0518%23 Aug
inferno13–20.0926%23 Aug
ancient13–9-0.0222%22 Aug
ancient1–13-0.0112%16 Aug
inferno13–100.0417%16 Aug
dust28–13-0.0013%16 Aug
nuke13–30.0311%16 Aug
nuke6–130.0020%16 Aug
anubis5–13-0.0310%15 Aug
nuke11–13-0.0613%15 Aug
mirage13–16-0.0514%15 Aug
anubis2–130.0421%15 Aug
nuke13–60.0622%14 Aug
inferno13–70.0613%14 Aug
inferno13–8-0.0113%14 Aug
inferno5–13-0.0716%14 Aug
nuke7–13-0.0022%13 Aug
ancient8–130.0215%13 Aug
anubis13–110.0312%12 Aug
cache11–13-0.0320%12 Aug
mirage10–130.0222%12 Aug
mirage13–10-0.056%11 Aug
inferno15–15-0.0311%10 Aug
ancient13–10-0.0610%10 Aug
inferno13–20.1322%10 Aug
anubis13–90.0913%10 Aug
anubis13–20.0310%10 Aug
ancient13–4-0.0025%9 Aug
mirage11–13-0.0619%9 Aug
anubis13–5-0.009%8 Aug
ancient13–40.0322%8 Aug
mirage13–60.0528%8 Aug
anubis13–60.0320%7 Aug
ancient10–130.0311%7 Aug
dust213–80.0413%7 Aug
mirage3–13-0.078%6 Aug
inferno13–80.0015%6 Aug
mirage9–130.0119%5 Aug
anubis13–7-0.0614%5 Aug
inferno7–13-0.0310%5 Aug
mirage13–20.1621%5 Aug
ancient13–110.0813%5 Aug
inferno11–13-0.084%5 Aug
inferno16–12-0.0117%5 Aug
inferno15–150.0213%5 Aug
anubis13–110.0416%5 Aug
mirage13–8-0.0712%4 Aug
inferno13–90.0214%4 Aug
dust213–90.0115%4 Aug
dust213–100.0118%4 Aug
nuke11–13-0.0211%4 Aug
inferno6–13-0.0112%3 Aug
inferno13–40.0518%3 Aug
anubis8–130.0112%3 Aug
inferno3–12-0.029%3 Aug
inferno9–13-0.0617%3 Aug
ancient5–13-0.076%3 Aug
dust213–60.015%3 Aug
nuke13–10-0.0615%3 Aug
cache8–13-0.0521%2 Aug
dust29–13-0.0214%2 Aug
anubis13–110.0412%2 Aug
inferno13–1-0.0019%2 Aug
cache1–13-0.0612%2 Aug
anubis7–13-0.0110%2 Aug
dust213–90.027%2 Aug
anubis13–50.0313%2 Aug
nuke9–13-0.0319%2 Aug
inferno13–90.0110%1 Aug
cache13–70.028%1 Aug
vertigo3–13-0.0523%1 Aug
dust213–90.0319%1 Aug
ancient13–60.0113%1 Aug
inferno4–13-0.0114%31 Jul
anubis9–13-0.0214%31 Jul
anubis15–150.0220%27 Jul
cache13–8-0.0010%27 Jul
inferno16–14-0.0410%26 Jul
cache6–130.0021%26 Jul
nuke13–10-0.0015%26 Jul
dust213–60.0719%26 Jul
inferno6–13-0.0835%26 Jul
inferno9–13-0.0711%26 Jul
inferno13–110.0117%26 Jul
ancient16–14-0.027%25 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →