SHEDONTWANTMELATELY

SHEDONTWANTMELATELY — CS2 Stats

76561198867289515[U:1:907023787]Steam profile ↗✓ No bans

496Tracked matches64%Win rate2021Tracked since
3,068Hours in CS3Hrs last 2 wks
CSDB Rating6.6 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 496 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,185 +641 8 Feb – 21 Jun · 14 days played
14,54418,169peak 18,1698 Feb21 Jun
18,169Peak Premier in tracked matches
44Days played since 2026-02-08

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 8 among CSDB-tracked players (n=15,126), 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 8 medianLevel 9 medianvs Level 9
Headshot rate40.7%46.8%48.2%7.6% short
Shot accuracy10.9%13.0%13.2%2.3% short
Kill/death ratio0.831.061.070.24 short
Match win rate46.9%46.3%46.9%meets

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSHEDONTWANTMELATELYFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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

Aim76
Positioning52
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateWWLWWLWWLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −2.5pp headshot accuracy · +2ms 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 -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 525ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 506ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 506ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim7.6
Utility6.3
Positioning5.2
Opening Duels2.9
Clutch2.8

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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6
Positioning5.2
Utility6.3
Mechanics7.2
Opening Duels2.8
Win Impact9.8

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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time524ms−103ms
first ⅓ avg 627ms → last ⅓ avg 524ms
Headshot accuracy14.1%−4.5%
first ⅓ avg 18.6% → last ⅓ avg 14.1%

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

0.14Best match rating · 9–6 · overpass, 22 Jun →
40%Best headshot accuracy · 3–13 · nuke, 29 Jul →
320msFastest reaction time · 4–1 · ancient, 9 Feb →
13–1Biggest win · cache, 3 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
5–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 83% over 6nukeWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB1910–953%-0.02
nukeD196–1332%-0.02
ancientS1712–571%-0.01
mirageB179–853%-0.03
anubisS107–370%-0.01
overpassS65–183%0.02
vertigoA53–260%-0.00
cache—31–233%0.00
dust2—32–167%-0.00
office—11–0100%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,582Lifetime kills
0.83K/D
3,284Matches
46.9%Match win rate · Top 50% of Level 8 players
40.7%Headshot %
10.9%Shot accuracy
8,280MVPs
2,101Hours (in match)
3,198Bombs planted
1,162Bombs defused

Most-used weapons

AK-4728,420
AWP6,645
Knife1,920
MP91,912
P2501,789

Lifetime map wins

6,754inferno
3,132dust2
2,987nuke
1,469vertigo
1,024train
297cbble
159office
112assault

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

Faceit stats

Combat

164Matches
60%Win rate
1.10Avg K/D
74.2ADR
43%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3863%0.8814.8
Ancient2357%1.3614.7
Anubis2259%1.0314.6
Nuke2143%0.9614.8
Inferno1974%1.2614.5
Dust21275%1.2014.7
Cache650%1.1212.2
Train475%1.2816.5

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.

14.0%Headshot accuracy
38.0%Accuracy (enemy spotted)
41.2%Spray accuracy
82.5%Counter-strafing
11.2°Preaim
520msReaction time
34.6%T opening success
47.4%CT opening success
0.68Enemies flashed / flash
8.4%Flash assists
6.27HE damage / grenade
14.26Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0033% — below the 15% mark we flag

    Aim Training →
  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 34.6075% — 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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–12-0.0212%18 Sept →
ancient13–9-0.0222%17 Sept →
inferno5–13-0.056%17 Sept →
ancient16–14-0.0415%17 Sept →
anubis13–90.0315%17 Sept →
vertigo7–90.0115%14 Sept →
nuke19–160.0413%10 Sept →
vertigo13–11-0.0011%8 Sept →
nuke9–13-0.0310%7 Sept →
inferno22–25-0.035%7 Sept →
inferno9–130.0322%7 Sept →
nuke13–40.0817%7 Sept →
nuke14–160.0013%6 Sept →
ancient13–70.0616%6 Sept →
inferno13–100.018%4 Sept →
cache13–10.0521%3 Sept →
mirage13–9-0.0310%2 Sept →
mirage5–13-0.0113%1 Sept →
ancient2–13-0.0612%31 Aug →
inferno15–15-0.0215%30 Aug →
ancient13–10-0.0813%30 Aug →
ancient13–110.0314%30 Aug →
anubis13–80.0021%25 Aug →
overpass9–50.076%24 Aug →
vertigo4–90.019%24 Aug →
nuke5–13-0.0522%23 Aug →
mirage16–13-0.0716%23 Aug →
cache12–120.0313%20 Aug →
mirage9–13-0.0124%19 Aug →
anubis13–7-0.0111%19 Aug →
vertigo13–8-0.0213%19 Aug →
inferno2–13-0.0617%4 Aug →
nuke13–8-0.0713%29 Jul →
anubis13–8-0.0211%29 Jul →
nuke13–6-0.0414%29 Jul →
ancient11–13-0.0412%29 Jul →
nuke3–13-0.0240%29 Jul →
mirage13–7-0.0022%29 Jul →
overpass9–60.1415%22 Jun →
nuke5–130.0422%21 Jun →
overpass13–5-0.0717%21 Jun →
anubis8–13-0.0613%21 Jun →
dust28–13-0.0820%13 Jun →
mirage19–17-0.0122%19 May →
ancient13–80.0420%19 May →
cache12–12-0.0717%2 May →
nuke7–13-0.0523%30 Mar →
anubis11–13-0.0517%30 Mar →
vertigo13–11-0.0114%22 Mar →
ancient8–130.0620%15 Mar →
overpass13–50.0313%11 Mar →
nuke8–130.0224%11 Mar →
ancient13–6-0.0113%11 Mar →
mirage13–6-0.086%27 Feb →
mirage13–6-0.0222%26 Feb →
ancient13–80.0127%26 Feb →
nuke8–130.0118%24 Feb →
inferno13–3-0.0121%24 Feb →
mirage4–13-0.109%24 Feb →
mirage13–100.0614%23 Feb →
overpass13–60.0417%23 Feb →
inferno13–7-0.0914%20 Feb →
ancient13–30.0624%20 Feb →
nuke8–13-0.0713%19 Feb →
inferno13–90.0223%17 Feb →
nuke6–13-0.1113%17 Feb →
inferno13–40.0416%16 Feb →
mirage13–80.0315%16 Feb →
anubis13–70.0114%16 Feb →
inferno3–13-0.1011%15 Feb →
ancient4–13-0.1027%13 Feb →
ancient11–13-0.0421%12 Feb →
inferno5–13-0.0524%12 Feb →
inferno13–9-0.039%12 Feb →
nuke8–13-0.0413%11 Feb →
anubis13–90.0218%11 Feb →
inferno13–7-0.0731%11 Feb →
nuke13–50.0322%11 Feb →
mirage12–12-0.0325%10 Feb →
office13–80.0826%10 Feb →
inferno4–13-0.0538%10 Feb →
mirage2–13-0.086%10 Feb →
anubis11–13-0.0314%10 Feb →
ancient13–70.029%10 Feb →
mirage15–15-0.0821%10 Feb →
mirage13–60.0123%9 Feb →
ancient4–1-0.0120%9 Feb →
nuke11–13-0.0329%9 Feb →
inferno5–13-0.0419%9 Feb →
dust213–70.0210%9 Feb →
dust213–70.0613%9 Feb →
inferno13–30.1026%9 Feb →
overpass8–13-0.0717%8 Feb →
mirage8–13-0.0217%8 Feb →
nuke11–13-0.0617%8 Feb →
anubis13–70.0213%8 Feb →
mirage10–13-0.0420%8 Feb →
inferno13–2-0.0121%8 Feb →
nuke13–40.0114%8 Feb →
inferno13–3-0.0011%8 Feb →

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 →

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