Scooob

Scooob — CS2 Stats

76561199015080342[U:1:1054814614]Steam profile ↗✓ No bans

315Tracked matches54%Win rate2023Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating10,573Blue band · top ~51.9% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (5 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: 10,573 +4,471 25 May – 12 Oct · 10 days played
5,72210,573peak 10,57325 May12 Oct
10,573Peak Premier in tracked matches
38Days played since 2026-05-25

Premier CS Rating

  • At peak — 10,573
  • +1,196 over 30 days · improving
  • +3,840 over 90 days
  • Next: Purple band at 15,000 — 4,427 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-20

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

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CSDB.GGScooobPREMIER10,573 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning52
Utility37

0–100 skill scores via Leetify.

Recent form

HOT49–46–5Last 10049%Win rateLWWTWWWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −4.8pp headshot accuracy · −10ms reaction

Win rate up 20pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 617ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 591ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 596ms

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 (+2.1 against its own average).

Aim6.6
Utility3.7
Positioning5.2
Opening Duels3.7
Clutch0.0

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

jL

Plays most like jL 98% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 609ms 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

Aim6.6
Positioning5.2
Utility3.7
Mechanics7.2
Opening Duels3.2
Win Impact6.2

Composite 5.3/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time604ms−62ms
first ⅓ avg 667ms → last ⅓ avg 604ms
Headshot accuracy17.1%+1.3%
first ⅓ avg 15.8% → last ⅓ avg 17.1%

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

0.32Best match rating · 9–1 · inferno, 17 Jun →
35%Best headshot accuracy · 7–13 · dust2, 12 Sept →
398msFastest reaction time · 13–5 · inferno, 16 Aug →
13–0Biggest win · ancient, 7 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 75% over 12cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C228–1436%-0.03
nukeB179–853%-0.01
mirageC167–944%0.01
infernoS129–375%0.04
ancientB105–550%-0.01
cacheD93–633%-0.03
officeC52–340%-0.03
anubis—31–233%-0.04
train—22–0100%0.01
vertigo—11–0100%0.08
overpass—10–10%0.01
sanctum—11–0100%-0.05
warden—11–0100%0.02

Across the last 100 tracked matches.

Faceit stats

Combat

9Matches
44%Win rate
1.03Avg K/D
76.2ADR
47%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.9213.7
Dust2250%0.7212.0
Ancient250%0.7912.0
Cache10%0.7311.0
Vertigo1100%2.8028.0

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.

17.1%Headshot accuracy
36.6%Accuracy (enemy spotted)
36.5%Spray accuracy
82.4%Counter-strafing
11.6°Preaim
609msReaction time
47.8%T opening success
37.5%CT opening success
0.49Enemies flashed / flash
8.5%Flash assists
7.28HE damage / grenade
6.85Flashes / 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 0.4922 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 37.4821% — 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 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust29–11-0.0316%12 Oct →
mirage13–30.0115%12 Oct →
ancient13–60.0719%12 Oct →
dust212–120.0121%11 Oct →
train13–6-0.0110%11 Oct →
mirage9–20.0613%11 Oct →
cache13–3-0.0417%11 Oct →
office1–13-0.0424%29 Sept →
nuke13–11-0.0112%29 Sept →
mirage13–60.0515%28 Sept →
cache13–5-0.0223%27 Sept →
dust211–130.0423%13 Sept →
vertigo13–100.0822%13 Sept →
inferno13–100.0618%12 Sept →
dust27–130.0135%12 Sept →
inferno7–13-0.0517%9 Sept →
office13–11-0.0321%9 Sept →
nuke13–4-0.0517%8 Sept →
nuke11–13-0.0318%7 Sept →
cache4–13-0.0115%7 Sept →
ancient13–0-0.0217%7 Sept →
anubis12–12-0.0617%6 Sept →
inferno9–130.0018%6 Sept →
mirage1–130.0213%6 Sept →
cache13–9-0.017%26 Aug →
nuke6–13-0.0015%23 Aug →
ancient16–13-0.0311%23 Aug →
ancient11–130.0213%23 Aug →
dust26–13-0.0817%23 Aug →
cache6–13-0.0820%23 Aug →
inferno16–14-0.0117%23 Aug →
nuke10–13-0.0812%23 Aug →
nuke13–9-0.0620%19 Aug →
dust213–0-0.050%19 Aug →
dust23–13-0.044%16 Aug →
mirage6–13-0.0121%16 Aug →
nuke13–9-0.0211%16 Aug →
mirage4–13-0.0320%16 Aug →
nuke13–11-0.0216%16 Aug →
dust27–13-0.0413%16 Aug →
mirage1–4-0.030%16 Aug →
inferno13–5-0.029%16 Aug →
dust213–3-0.0719%16 Aug →
ancient11–130.0211%15 Aug →
anubis13–4-0.0113%15 Aug →
mirage7–120.0211%15 Aug →
dust22–13-0.0619%15 Aug →
nuke13–20.0822%9 Aug →
dust213–10.0018%9 Aug →
inferno13–100.019%9 Aug →
mirage6–13-0.0816%6 Aug →
dust212–12-0.0512%6 Aug →
dust27–13-0.039%23 Jul →
anubis6–13-0.047%23 Jul →
mirage13–80.0310%19 Jul →
dust23–7-0.0529%19 Jul →
nuke12–16-0.0215%10 Jul →
nuke16–12-0.0313%9 Jul →
ancient3–5-0.040%9 Jul →
mirage3–9-0.0519%6 Jul →
inferno9–40.0914%6 Jul →
dust29–13-0.0521%6 Jul →
dust213–2-0.068%6 Jul →
mirage3–0-0.0129%6 Jul →
office12–12-0.0515%5 Jul →
nuke10–13-0.0010%5 Jul →
cache5–13-0.067%5 Jul →
office11–130.0411%4 Jul →
inferno4–13-0.0513%4 Jul →
office13–7-0.0630%4 Jul →
dust23–130.0016%4 Jul →
nuke10–13-0.056%4 Jul →
overpass2–130.0115%3 Jul →
mirage16–140.0714%3 Jul →
cache9–130.0121%2 Jul →
nuke13–40.0922%29 Jun →
ancient7–13-0.1011%29 Jun →
inferno9–40.1515%29 Jun →
ancient13–8-0.0421%28 Jun →
dust213–20.0710%28 Jun →
ancient13–11-0.0210%21 Jun →
nuke11–50.0126%21 Jun →
train13–20.0314%21 Jun →
nuke8–130.0613%20 Jun →
dust24–13-0.065%19 Jun →
inferno13–70.0223%19 Jun →
inferno13–70.0120%17 Jun →
dust213–5-0.0216%17 Jun →
sanctum9–4-0.0521%17 Jun →
inferno9–10.3229%17 Jun →
mirage13–4-0.0117%13 Jun →
dust213–7-0.0321%13 Jun →
ancient11–13-0.019%11 Jun →
nuke7–9-0.075%11 Jun →
mirage11–130.0911%8 Jun →
cache12–12-0.039%7 Jun →
mirage5–13-0.0318%25 May →
cache9–13-0.0011%25 May →
warden13–00.0219%25 May →
dust213–3-0.0016%25 May →

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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