Na_Scoocher

Na_Scoocher — CS2 Stats

US76561198385084135[U:1:424818407]Steam profile ↗✓ No bans

351Tracked matches44%Win rate2020Tracked since
469Hours in CS
CSDB Rating4.7 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 351 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 55 days played since 2 Mar 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

55Days played since 2025-03-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

No matches recorded between 29 Aug 2026 and 24 Sep 2026.

Measured 29 Aug 202624 Sep 2026; no observation near 60 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 Level 3 among CSDB-tracked players (n=9,584), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.8%41.9%42.7%3.9% short
Shot accuracy17.0%12.2%11.3%above
Kill/death ratio0.890.980.990.11 short
Match win rate39.9%43.3%43.9%4.1% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNa_ScoocherFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning44
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY434611Last 10043%Win rateWLTWWLLLWT

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +4.0pp headshot accuracy · −37ms 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

  • 311 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

Last 10

  • 442 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

Last 20

  • 7112 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 597ms

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: SupportUtility contribution stands above the rest of this profile (+0.9 against its own average).

Aim5.5
Utility4.4
Positioning4.4
Opening Duels1.6

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

NiKo

Plays most like NiKo 85% 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

T-side openings. Opening success drops from 49% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim5.5
Positioning4.4
Utility4.4
Mechanics6.3
Opening Duels2.4
Win Impact3.0

Composite 4.7/10 (Developing), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time594ms−30ms
first ⅓ avg 624ms → last ⅓ avg 594ms
Headshot accuracy18.4%+6.3%
first ⅓ avg 12.1% → last ⅓ avg 18.4%

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

0.08Best match rating · 13–3 · office, 3 Mar
35%Best headshot accuracy · 9–13 · office, 1 Jul
328msFastest reaction time · 2–13 · office, 18 Jun
13–3Biggest win · office, 15 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
85In matches decided by ≤2 rounds
1Overtime games

Map breakdown

agencyBest map · 75% over 12mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
officeB27131448%-0.01
cacheD124833%-0.04
mirageD1221017%-0.04
agencyS129375%0.00
nukeA106460%-0.04
infernoC83538%-0.10
overpass4040%-0.11
vertigo41325%-0.06
rooftop2020%-0.07
brewery21150%0.02
train110100%0.00
dust21010%-0.03
palacio1010%-0.03
anubis110100%0.04
dogtown110100%-0.04
grail110100%-0.01
ancient1010%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,226Lifetime kills
0.89K/D
1,317Matches
39.9%Match win rate
38.8%Headshot %
17.0%Shot accuracy · Top 25% of Level 3 players
2,409MVPs
469Hours (in match)
756Bombs planted
312Bombs defused

Most-used weapons

Lifetime map wins

2,580office
1,502inferno
915vertigo
742nuke
468dust2
467train
67lake
58cbble

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.

18.1%Headshot accuracy
30.0%Accuracy (enemy spotted)
29.6%Spray accuracy
78.2%Counter-strafing
10.1°Preaim
588msReaction time
19.3%T opening success
49.1%CT opening success
0.38Enemies flashed / flash
8.9%Flash assists
14.89HE damage / grenade
4.71Flashes / 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 0.3807 — below the 0.5 mark we flag

    Grenade Lineups
  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 19.2935% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–9-0.0519%22 Aug
cache8–13-0.0114%16 Aug
mirage12–120.0118%15 Aug
office13–3-0.0233%15 Aug
office13–50.0220%13 Aug
mirage5–13-0.0812%13 Aug
cache9–13-0.0820%10 Aug
mirage9–13-0.0427%9 Aug
office13–8-0.0326%8 Aug
nuke15–15-0.0120%8 Aug
office9–13-0.0035%1 Jul
cache9–13-0.0717%29 Jun
nuke9–13-0.033%29 Jun
office13–7-0.0528%27 Jun
mirage4–13-0.0810%27 Jun
cache8–13-0.0120%26 Jun
mirage9–13-0.0412%22 Jun
train13–70.0020%20 Jun
inferno13–100.0012%20 Jun
cache7–130.0413%20 Jun
cache12–120.0116%19 Jun
nuke13–50.0029%19 Jun
office2–13-0.0528%18 Jun
mirage8–13-0.0716%18 Jun
cache13–10-0.0320%8 Jun
office13–30.0525%8 Jun
office13–70.0323%7 Jun
cache7–13-0.123%7 Jun
dust212–12-0.036%2 Jun
overpass12–12-0.108%18 May
cache2–13-0.0820%18 May
cache13–3-0.0128%9 May
mirage13–30.017%9 May
mirage11–130.005%8 May
cache13–9-0.0616%7 May
office12–12-0.069%3 Jan
office9–130.0115%29 Dec
agency13–60.0110%28 Dec
office12–12-0.0010%28 Dec
rooftop4–9-0.1211%27 Dec
rooftop8–8-0.0317%27 Dec
vertigo9–7-0.0613%27 Dec
nuke9–7-0.0916%27 Dec
inferno9–2-0.0522%27 Dec
office10–60.0714%25 Dec
agency11–130.057%24 Dec
office0–13-0.060%24 Dec
inferno7–9-0.144%24 Dec
office1–13-0.0811%21 Dec
palacio3–13-0.0315%20 Dec
office9–10.0129%20 Dec
agency13–60.0210%19 Dec
office4–13-0.0411%26 Nov
office9–13-0.0323%24 Nov
inferno8–13-0.0114%23 Nov
agency13–11-0.047%15 Aug
agency13–10-0.0411%14 Aug
agency13–4-0.0319%12 Aug
agency13–10-0.0025%11 Aug
agency13–70.039%10 Aug
anubis13–60.0414%19 Jun
overpass6–9-0.0915%17 Jun
vertigo3–9-0.1325%17 Jun
brewery9–10.058%17 Jun
inferno8–8-0.0611%17 Jun
nuke4–13-0.094%16 Jun
agency13–70.0024%16 Jun
inferno2–9-0.254%15 Jun
vertigo8–8-0.0812%15 Jun
nuke9–6-0.0815%15 Jun
overpass2–9-0.2013%15 Jun
inferno1–9-0.298%15 Jun
dogtown9–7-0.048%15 Jun
brewery8–8-0.0012%15 Jun
mirage11–13-0.0012%11 Jun
agency13–110.0715%11 Jun
office5–13-0.025%28 May
mirage1–13-0.108%28 May
office13–4-0.0210%12 May
mirage13–110.0211%12 May
agency8–13-0.080%11 May
office1–13-0.100%11 May
agency10–130.0417%10 May
grail13–5-0.0114%10 May
office6–13-0.0111%8 Mar
nuke13–6-0.0224%8 Mar
nuke13–6-0.059%7 Mar
overpass10–13-0.0517%7 Mar
vertigo11–130.0416%7 Mar
ancient3–130.0124%6 Mar
nuke4–13-0.059%6 Mar
office13–7-0.009%5 Mar
mirage9–13-0.0533%4 Mar
office13–60.0113%4 Mar
nuke13–11-0.019%4 Mar
inferno13–110.0213%4 Mar
office9–130.007%3 Mar
office13–30.0820%3 Mar
office10–13-0.0211%2 Mar
office13–70.0410%2 Mar

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 →