Scoozy

Scoozy — CS2 Stats

DE76561199088732882[U:1:1128467154]Steam profile ↗✓ No bans

2,302Tracked matches50%Win rate2023Tracked since
1,594Hours in CS
CSDB Rating5.7 SolidSupport
Premier CS Rating17,689Purple band · top ~17.7% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (yesterday). 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: 17,689 +1,185 19 Sept – 1 Nov · 23 days played
16,50419,108peak 19,10819 Sept1 Nov
19,729Peak Premier in tracked matches
23Days played since 2026-09-19

Premier CS Rating

  • 1,419 below peak (19,108)
  • -1,419 over 30 days · declining
  • Next: Pink band at 20,000 — 2,311 to go
  • Reached: Purple band · Blue band · Light Blue band

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate45.9%43.8%44.8%above
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio0.791.021.030.25 short
Match win rate40.1%44.7%45.2%5.2% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGScoozyFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,689 · Purple bandcsdb.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

Aim52
Positioning53
Utility78

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWWLLWLWWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −3.0pp headshot accuracy · −57ms 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 21%
  • Avg reaction 644ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 599ms

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 (+3 against its own average).

Aim5.2
Utility7.8
Positioning5.3
Opening Duels2.6
Clutch3.4

High utility contribution

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

NiKo

Plays most like NiKo 65% 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

Strengths

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Reaction time. 637ms 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

Aim5.2
Positioning5.3
Utility7.8
Mechanics6.1
Opening Duels4.9
Win Impact5.0

Composite 5.7/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time613ms−31ms
first ⅓ avg 644ms → last ⅓ avg 613ms
Headshot accuracy20.5%+0.7%
first ⅓ avg 19.9% → last ⅓ avg 20.5%

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

0.13Best match rating · 8–7 · rush_001, 4 Oct →
50%Best headshot accuracy · 8–7 · rush_001, 4 Oct →
492msFastest reaction time · 0–13 · dust2, 30 Sept →
13–2Biggest win · nuke, 1 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–5In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 63% over 16ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B2210–1245%-0.00
infernoA2012–860%0.00
nukeA1610–663%0.00
ancientD144–1029%-0.02
anubisA116–555%-0.01
mirageD93–633%-0.01
cacheB63–350%-0.02
rush_001—11–0100%0.13
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,002Lifetime kills
0.79K/D
4,476Matches
40.1%Match win rate
45.9%Headshot % · Top 50% of Level 5 players
0.0%Shot accuracy
7,720MVPs
1,594Hours (in match)
2,845Bombs planted
729Bombs defused

Most-used weapons

AK-4719,558
AWP7,090
XM10144,372
MAC-103,986
MP92,240

Lifetime map wins

7,879dust2
6,924inferno
5,184nuke
2,096vertigo
369train
153office
51italy
24ar_baggage

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

Faceit stats

Combat

380Matches
51%Win rate
0.92Avg K/D
80.9ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8542%0.8413.8
Dust27547%0.9114.8
Ancient5753%0.9313.9
Anubis5558%0.9415.2
Inferno4963%0.9814.2
Nuke3256%1.0215.9
Vertigo1346%1.0817.0
Cache1030%0.649.9

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.

20.1%Headshot accuracy
30.1%Accuracy (enemy spotted)
32.7%Spray accuracy
77.5%Counter-strafing
11.1°Preaim
637msReaction time
52.1%T opening success
46.9%CT opening success
0.69Enemies flashed / flash
11.3%Flash assists
10.32HE damage / grenade
18.81Flashes / match

Recommended for you

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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0220%1 Nov →
cache13–70.0020%1 Nov →
inferno5–130.0023%1 Nov →
cache12–16-0.0516%1 Nov →
dust213–100.0524%31 Oct →
dust25–13-0.0517%31 Oct →
mirage13–11-0.0121%31 Oct →
inferno2–0-0.000%31 Oct →
inferno8–130.0130%31 Oct →
anubis16–140.0417%30 Oct →
inferno13–80.0214%30 Oct →
dust27–13-0.0424%30 Oct →
nuke12–20.1030%29 Oct →
mirage13–70.0331%29 Oct →
anubis5–130.0125%29 Oct →
nuke8–13-0.0217%29 Oct →
cache10–13-0.0613%28 Oct →
mirage13–16-0.0118%28 Oct →
inferno16–14-0.0332%28 Oct →
anubis13–7-0.0012%11 Oct →
anubis14–16-0.0117%10 Oct →
inferno11–13-0.0514%10 Oct →
dust215–15-0.0017%10 Oct →
nuke6–13-0.0435%10 Oct →
nuke13–90.0317%10 Oct →
ancient13–10-0.0012%8 Oct →
inferno13–70.0026%5 Oct →
dust26–130.0125%4 Oct →
ancient9–13-0.0711%4 Oct →
dust215–15-0.0318%4 Oct →
rush_0018–70.1350%4 Oct →
mirage11–130.0524%4 Oct →
ancient10–13-0.068%4 Oct →
anubis7–130.0124%3 Oct →
ancient6–13-0.0316%3 Oct →
inferno13–160.028%3 Oct →
anubis13–7-0.0310%3 Oct →
nuke4–13-0.0812%3 Oct →
cache9–13-0.0324%3 Oct →
dust213–50.0218%3 Oct →
inferno13–10-0.0716%3 Oct →
ancient6–13-0.0312%3 Oct →
nuke13–6-0.0325%3 Oct →
anubis8–13-0.0319%3 Oct →
anubis16–14-0.0713%3 Oct →
nuke10–13-0.0615%3 Oct →
dust212–160.0215%2 Oct →
inferno13–90.0917%2 Oct →
dust213–60.0723%2 Oct →
nuke13–20.0933%1 Oct →
nuke13–5-0.0031%30 Sept →
inferno3–13-0.0511%30 Sept →
inferno16–13-0.0121%30 Sept →
anubis13–11-0.0614%30 Sept →
cache13–110.0115%30 Sept →
mirage13–5-0.0319%30 Sept →
dust20–13-0.1015%30 Sept →
ancient9–130.018%29 Sept →
inferno13–100.0826%28 Sept →
nuke9–130.0121%28 Sept →
mirage9–13-0.0220%28 Sept →
cache13–9-0.0315%28 Sept →
mirage6–10-0.0210%27 Sept →
mirage11–130.0216%27 Sept →
nuke13–30.0422%27 Sept →
ancient3–13-0.0428%26 Sept →
dust213–110.0718%26 Sept →
anubis13–80.0514%26 Sept →
dust213–90.1033%26 Sept →
dust27–13-0.0417%26 Sept →
ancient13–60.0513%26 Sept →
inferno13–8-0.0420%25 Sept →
anubis8–13-0.0311%25 Sept →
mirage15–15-0.0812%25 Sept →
dust23–13-0.1317%23 Sept →
dust215–150.0915%23 Sept →
ancient11–13-0.0715%21 Sept →
inferno13–8-0.0114%21 Sept →
ancient13–100.0432%21 Sept →
dust213–50.019%21 Sept →
ancient13–80.0139%21 Sept →
inferno16–14-0.0020%20 Sept →
nuke13–9-0.0019%20 Sept →
nuke9–13-0.0715%20 Sept →
dust28–13-0.0515%20 Sept →
ancient15–15-0.0115%20 Sept →
nuke13–90.0327%20 Sept →
inferno5–130.0527%20 Sept →
nuke13–30.0220%20 Sept →
dust213–9-0.0517%20 Sept →
inferno13–30.0118%20 Sept →
vertigo5–13-0.0334%20 Sept →
inferno6–13-0.0422%19 Sept →
dust213–10-0.0536%19 Sept →
dust22–130.0222%19 Sept →
dust213–6-0.0211%19 Sept →
ancient5–13-0.0125%19 Sept →
nuke13–90.0419%19 Sept →
ancient9–13-0.0517%19 Sept →
inferno13–160.0514%19 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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