Scoomscoom4x

Scoomscoom4x — CS2 Stats

FI76561199867738734[U:1:1907473006]Steam profile ↗✓ No bans

828Tracked matches43%Win rate2025Tracked since
CSDB Rating3.5 LearningSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

7,452Peak Premier in tracked matches
43Days played since 2026-06-26

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

Share this profile

CSDB.GGScoomscoom4xFACEITLevel 2STANDINGTop 97.9% 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

Aim36
Positioning31
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLLLLLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −5.1pp headshot accuracy · −4ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 14%
  • Avg reaction 657ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 645ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 647ms

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 (+2.1 against its own average).

Aim3.6
Utility4.4
Positioning3.1
Opening Duels0.0
Clutch1.6

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 79% 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. 651ms 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

Aim3.6
Positioning3.1
Utility4.4
Mechanics5.9
Opening Duels0.0
Win Impact2.8

Composite 3.5/10 (Learning), 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-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time650ms−52ms
first ⅓ avg 703ms → last ⅓ avg 650ms
Headshot accuracy17.9%−2.0%
first ⅓ avg 19.8% → last ⅓ avg 17.9%

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

0.05Best match rating · 13–2 · dust2, 5 Sept →
53%Best headshot accuracy · 7–13 · cache, 3 Sept →
438msFastest reaction time · 11–13 · nuke, 10 Jul →
13–2Biggest win · dust2, 5 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L6Current streak
7–15In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 79% over 14dust2Weakest map · 34% over 32
MapGradePlayedRecordWin rateAvg rating
dust2D3211–2134%-0.05
mirageC208–1240%-0.06
nukeB189–950%-0.06
infernoS1410–471%-0.05
cacheS1411–379%-0.05
anubis—21–150%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (34% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

666Matches
49%Win rate
0.71Avg K/D
62.5ADR
52%Headshot %

Clutches & streaks

28%1v1 clutch win
11%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust219345%0.7211.9
Mirage17143%0.6710.7
Nuke10155%0.7311.9
Inferno9756%0.7311.5
Cache5058%0.629.6
Anubis2556%0.8714.4
Ancient2035%0.7212.4
Overpass967%0.7911.3

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.

17.3%Headshot accuracy
24.8%Accuracy (enemy spotted)
25.6%Spray accuracy
76.5%Counter-strafing
9.7°Preaim
651msReaction time
15.7%T opening success
26.5%CT opening success
0.53Enemies flashed / flash
4.3%Flash assists
7.61HE damage / grenade
10.85Flashes / 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. 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 15.6692% — below the 40% mark we flag

Spend your practice time on Dust 2

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

34% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–16-0.093%15 Sept →
dust26–13-0.0823%15 Sept →
nuke5–13-0.1023%7 Sept →
mirage7–13-0.115%7 Sept →
anubis12–16-0.0517%6 Sept →
dust25–13-0.0528%5 Sept →
dust213–20.0512%5 Sept →
mirage13–100.0020%5 Sept →
inferno13–6-0.0313%5 Sept →
mirage13–11-0.0821%4 Sept →
dust210–13-0.0513%4 Sept →
nuke13–20.0214%4 Sept →
mirage6–130.0328%3 Sept →
cache7–13-0.0553%3 Sept →
nuke8–13-0.0816%2 Sept →
dust23–13-0.1129%2 Sept →
dust29–13-0.0524%1 Sept →
inferno13–8-0.0614%1 Sept →
dust210–13-0.085%1 Sept →
nuke13–7-0.0018%1 Sept →
mirage8–13-0.1011%1 Sept →
dust23–130.0116%29 Aug →
mirage13–3-0.0311%26 Aug →
nuke16–14-0.0516%21 Aug →
mirage13–9-0.0611%19 Aug →
dust211–13-0.0411%19 Aug →
nuke13–11-0.0613%15 Aug →
dust213–11-0.0523%14 Aug →
mirage13–2-0.0419%14 Aug →
mirage14–16-0.0420%9 Aug →
cache13–50.0121%9 Aug →
cache13–10-0.0822%8 Aug →
inferno13–9-0.0615%8 Aug →
nuke11–13-0.0813%8 Aug →
dust213–5-0.0421%8 Aug →
dust213–5-0.0525%1 Aug →
cache13–90.0120%1 Aug →
inferno13–10-0.0118%27 Jul →
inferno11–3-0.0730%27 Jul →
cache13–30.0121%26 Jul →
dust213–50.0127%26 Jul →
nuke4–13-0.0618%24 Jul →
dust25–13-0.088%23 Jul →
cache13–8-0.0523%23 Jul →
dust211–13-0.0412%22 Jul →
nuke13–3-0.069%22 Jul →
mirage8–13-0.0810%19 Jul →
cache13–10-0.0241%19 Jul →
dust29–13-0.095%19 Jul →
dust213–11-0.0616%18 Jul →
mirage13–8-0.0513%18 Jul →
dust219–15-0.0511%18 Jul →
dust27–13-0.0615%18 Jul →
cache9–13-0.0713%17 Jul →
nuke2–11-0.110%14 Jul →
dust28–13-0.0521%14 Jul →
mirage7–13-0.0519%13 Jul →
nuke8–13-0.0521%12 Jul →
inferno13–9-0.0733%12 Jul →
dust211–13-0.149%12 Jul →
cache13–7-0.0916%12 Jul →
dust213–5-0.0322%11 Jul →
inferno16–13-0.0420%11 Jul →
cache13–4-0.0717%10 Jul →
nuke11–13-0.0913%10 Jul →
mirage13–9-0.0122%10 Jul →
dust213–40.0221%10 Jul →
cache13–11-0.0637%8 Jul →
inferno11–13-0.0219%8 Jul →
dust214–16-0.0624%7 Jul →
inferno13–3-0.0424%7 Jul →
nuke13–110.0018%7 Jul →
cache13–5-0.0719%7 Jul →
mirage13–16-0.0424%7 Jul →
mirage13–10-0.0718%6 Jul →
dust211–13-0.0623%6 Jul →
mirage6–13-0.0619%6 Jul →
inferno13–8-0.0616%5 Jul →
cache9–13-0.1012%5 Jul →
mirage11–13-0.0719%5 Jul →
inferno3–13-0.0818%5 Jul →
nuke7–13-0.1413%4 Jul →
inferno13–4-0.0833%4 Jul →
dust211–13-0.0237%4 Jul →
dust216–13-0.0421%3 Jul →
inferno10–13-0.0710%3 Jul →
dust29–13-0.1228%2 Jul →
nuke14–16-0.0813%1 Jul →
nuke13–40.0026%1 Jul →
dust29–13-0.0426%30 Jun →
mirage11–13-0.1012%30 Jun →
cache13–7-0.0518%29 Jun →
nuke19–16-0.053%29 Jun →
anubis16–13-0.1014%29 Jun →
dust213–6-0.0520%28 Jun →
dust214–16-0.0322%28 Jun →
inferno11–13-0.0712%27 Jun →
mirage8–13-0.0628%27 Jun →
dust24–13-0.0619%27 Jun →
nuke16–13-0.059%26 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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.