scooby jew

scooby jew — CS2 Stats

76561199103550727[U:1:1143284999]Steam profile ↗✓ No bans

214Tracked matches63%Win rate2023Tracked since
463Hours in CS40Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating12,441Blue band · top ~42% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+722Premier CS Rating · 11,719 → 12,441

Rating over time

Premier CS Rating: 12,441 +1,968 10 Sept – 2 Oct · 20 days played
8,88312,441peak 12,44110 Sept2 Oct
12,441Peak Premier in tracked matches
29Days played since 2026-08-30

Premier CS Rating

  • At peak — 12,441
  • Next: Purple band at 15,000 — 2,559 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-26
  • Light Blue band first seen 2026-09-26

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches11——
Win rate64%——
K/D1.18——
Headshot %40%——

Measured 26 Sep 2026 → 2 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 rate36.2%41.9%44.3%8.1% short
Shot accuracy3.5%9.6%11.9%8.4% short
Kill/death ratio1.000.981.030.03 short
Match win rate48.6%43.8%45.2%above

This profile matches the typical Purple band player on 1 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.

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CSDB.GGscooby jewPREMIER12,441 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning60
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWWLLWWLWWW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +2.8pp headshot accuracy · +10ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 490ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 519ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 514ms

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 (+1.9 against its own average).

Aim8.0
Utility2.1
Positioning6.0
Opening Duels4.1

Strong CT-side openerLimited 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

ropz

Plays most like ropz 86% 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

Areas to improve

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

T-side openings. Opening success drops from 58% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0
Positioning6.0
Utility2.1
Mechanics6.1
Opening Duels4.2
Win Impact9.4

Composite 5.9/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time519ms−21ms
first ⅓ avg 541ms → last ⅓ avg 519ms
Headshot accuracy13.5%+0.6%
first ⅓ avg 12.9% → last ⅓ avg 13.5%

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

0.22Best match rating · 13–5 · nuke, 7 Sept →
29%Best headshot accuracy · 8–13 · mirage, 14 Sept →
406msFastest reaction time · 4–9 · nuke, 30 Aug →
13–1Biggest win · nuke, 18 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W2Current streak
10–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 67% over 15ancientWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
nukeA3118–1358%0.03
ancientC156–940%-0.01
cacheS1510–567%0.01
dust2C146–843%-0.01
mirageA116–555%0.01
infernoA117–464%0.03
anubis—30–30%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,176Lifetime kills
1.00K/D · Top 50% of Blue band
362Matches
48.6%Match win rate · Top 25% of Blue band
36.2%Headshot %
3.5%Shot accuracy
735MVPs
128Hours (in match)
303Bombs planted
81Bombs defused

Most-used weapons

Lifetime map wins

1,010dust2
990nuke
319inferno
95vertigo
13lake
10train
4office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.3%Headshot accuracy
40.6%Accuracy (enemy spotted)
42.0%Spray accuracy
77.5%Counter-strafing
9.6°Preaim
513msReaction time
35.7%T opening success
57.6%CT opening success
0.31Enemies flashed / flash
1.3%Flash assists
7.46HE damage / grenade
1.81Flashes / 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 13.3225% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3091 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 35.7369% — below the 40% mark we flag

Spend your practice time on Ancient

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0113%2 Oct →
nuke13–110.1120%2 Oct →
ancient9–130.0127%1 Oct →
dust27–13-0.0211%1 Oct →
nuke13–5-0.0114%27 Sept →
nuke13–11-0.038%27 Sept →
cache6–13-0.0312%27 Sept →
nuke13–40.1821%27 Sept →
nuke13–30.1514%27 Sept →
cache13–90.0110%27 Sept →
nuke8–13-0.059%27 Sept →
dust27–13-0.0016%27 Sept →
nuke13–8-0.0410%26 Sept →
cache16–12-0.0010%26 Sept →
cache13–80.0419%26 Sept →
inferno13–11-0.028%26 Sept →
inferno16–13-0.0114%25 Sept →
cache13–70.079%25 Sept →
nuke13–90.0819%25 Sept →
cache16–14-0.049%24 Sept →
nuke13–20.1024%24 Sept →
inferno13–30.0211%24 Sept →
ancient2–13-0.078%24 Sept →
nuke8–13-0.078%23 Sept →
dust28–13-0.0813%23 Sept →
inferno13–100.0823%23 Sept →
nuke7–13-0.027%23 Sept →
inferno10–13-0.029%22 Sept →
nuke13–40.0710%22 Sept →
ancient8–130.0117%22 Sept →
nuke5–130.0214%22 Sept →
cache4–130.0114%21 Sept →
nuke7–13-0.0713%21 Sept →
mirage13–80.0312%21 Sept →
anubis7–13-0.039%20 Sept →
ancient9–13-0.0413%20 Sept →
nuke13–40.058%20 Sept →
ancient10–13-0.0216%20 Sept →
nuke13–50.079%20 Sept →
dust27–13-0.088%20 Sept →
mirage6–13-0.0118%20 Sept →
ancient13–70.0613%19 Sept →
nuke1–10-0.0614%19 Sept →
inferno6–13-0.0214%19 Sept →
ancient9–13-0.0417%18 Sept →
ancient13–8-0.048%18 Sept →
nuke13–10.0426%18 Sept →
nuke8–13-0.0415%18 Sept →
mirage9–130.0119%18 Sept →
cache13–8-0.019%18 Sept →
inferno13–110.0110%18 Sept →
mirage16–130.0511%17 Sept →
ancient13–50.0319%16 Sept →
dust24–13-0.0314%16 Sept →
ancient13–20.013%15 Sept →
ancient14–16-0.0515%15 Sept →
mirage11–130.0114%14 Sept →
mirage8–13-0.0729%14 Sept →
cache13–3-0.0115%14 Sept →
inferno7–130.0218%14 Sept →
anubis9–130.017%13 Sept →
nuke16–130.0214%13 Sept →
nuke14–16-0.039%13 Sept →
cache13–20.0724%13 Sept →
ancient4–130.0221%13 Sept →
inferno5–13-0.0312%13 Sept →
anubis10–13-0.069%12 Sept →
cache13–40.0611%12 Sept →
mirage16–130.0414%11 Sept →
mirage16–130.0216%11 Sept →
dust213–11-0.0516%11 Sept →
ancient7–13-0.0213%10 Sept →
cache16–140.0412%10 Sept →
ancient13–70.0313%10 Sept →
inferno13–60.157%9 Sept →
nuke13–70.1911%9 Sept →
mirage13–20.0821%9 Sept →
inferno16–140.1616%8 Sept →
dust213–70.1011%8 Sept →
dust213–3-0.008%8 Sept →
cache9–13-0.0411%8 Sept →
dust213–3-0.0618%8 Sept →
nuke11–130.0111%7 Sept →
nuke13–110.049%7 Sept →
dust213–40.0413%7 Sept →
cache10–13-0.0013%7 Sept →
mirage8–13-0.0015%7 Sept →
nuke13–50.2213%7 Sept →
cache11–13-0.039%6 Sept →
ancient13–11-0.0414%6 Sept →
dust28–13-0.0219%6 Sept →
nuke5–13-0.036%6 Sept →
dust213–70.0619%6 Sept →
nuke9–130.0122%5 Sept →
dust210–130.0115%5 Sept →
dust25–13-0.0019%2 Sept →
nuke12–12-0.0115%1 Sept →
nuke13–50.085%31 Aug →
nuke13–9-0.095%30 Aug →
nuke4–90.056%30 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
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.