Nuusku02

Nuusku02 — CS2 Stats

76561198353220510[U:1:392954782]Steam profile ↗✓ No bans

439Tracked matches23%Win rate2024Tracked since
451Hours in CS2Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating14,419Blue band · top ~31.5% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (9 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: 14,419 +874 25 Feb – 27 Oct · 22 days played
13,27117,060peak 17,06025 Feb27 Oct
17,060Peak Premier in tracked matches
33Days played since 2026-02-25

Premier CS Rating

  • 2,641 below peak (17,060)
  • -2,331 over 30 days · declining
  • Next: Purple band at 15,000 — 581 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 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 rate36.9%42.0%44.4%7.5% short
Shot accuracy8.1%9.6%11.9%3.8% short
Kill/death ratio0.870.981.030.16 short
Match win rate30.3%43.8%45.2%15.0% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Match win rate. 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.

Share this profile

CSDB.GGNuusku02PREMIER14,419 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning63
Utility48

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateWLLLLLWWLL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +7.0pp headshot accuracy · −38ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 528ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 601ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 620ms

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 (+2.5 against its own average).

Aim6.7
Utility4.8
Positioning6.3
Opening Duels4.3
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

m0NESY

Plays most like m0NESY 89% 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. 604ms 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

Aim6.7
Positioning6.3
Utility4.8
Mechanics6.9
Opening Duels5.0
Win Impact0.0

Composite 5.2/10 (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 time614ms−18ms
first ⅓ avg 632ms → last ⅓ avg 614ms
Headshot accuracy16.7%+2.0%
first ⅓ avg 14.7% → last ⅓ avg 16.7%

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

0.25Best match rating · 9–3 · nuke, 19 Oct →
48%Best headshot accuracy · 9–13 · inferno, 3 Sept →
430msFastest reaction time · 9–13 · ancient, 27 Oct →
13–1Biggest win · ancient, 30 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 63% over 8dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB2411–1346%-0.00
infernoD204–1620%0.00
ancientA1911–858%-0.00
anubisC104–640%-0.01
overpassA85–363%0.03
mirageD72–529%-0.01
dust2D50–50%-0.04
cacheA53–260%0.01
vertigo—22–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,173Lifetime kills
0.87K/D
978Matches
30.3%Match win rate
36.9%Headshot %
8.1%Shot accuracy
1,491MVPs
258Hours (in match)
600Bombs planted
138Bombs defused

Most-used weapons

Lifetime map wins

984inferno
890nuke
474dust2
423vertigo
316train
9bank
9ar_shoots
9ar_baggage

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

Faceit stats

Combat

4Matches
50%Win rate
0.79Avg K/D
66.1ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%0.6412.0
Ancient1100%1.1515.0
Mirage10%0.7515.0

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.

17.5%Headshot accuracy
34.8%Accuracy (enemy spotted)
39.0%Spray accuracy
81.3%Counter-strafing
10.7°Preaim
604msReaction time
46.7%T opening success
53.5%CT opening success
0.51Enemies flashed / flash
4.9%Flash assists
8.16HE damage / grenade
8.61Flashes / match

Recommended for you

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.

0% win rate across 5 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
nuke13–110.0224%27 Oct →
inferno6–13-0.0143%27 Oct →
ancient9–13-0.0321%27 Oct →
ancient11–13-0.0216%19 Oct →
mirage10–13-0.0514%19 Oct →
anubis5–13-0.0214%19 Oct →
nuke9–30.2516%19 Oct →
mirage13–9-0.0216%9 Oct →
dust24–13-0.0518%9 Oct →
dust24–130.0215%29 Sept →
mirage7–130.0114%29 Sept →
mirage7–13-0.0511%29 Sept →
overpass9–70.1114%28 Sept →
nuke4–9-0.0419%28 Sept →
inferno4–9-0.136%28 Sept →
inferno4–9-0.138%28 Sept →
nuke2–13-0.0618%28 Sept →
ancient9–13-0.089%28 Sept →
dust212–16-0.0117%28 Sept →
nuke13–8-0.0013%22 Sept →
anubis16–13-0.0111%22 Sept →
ancient13–90.0120%22 Sept →
cache5–13-0.0718%17 Sept →
anubis5–130.0221%17 Sept →
anubis10–13-0.059%17 Sept →
nuke6–13-0.0118%17 Sept →
dust26–13-0.098%9 Sept →
nuke5–130.0213%9 Sept →
cache13–10-0.0213%9 Sept →
cache13–90.0716%7 Sept →
nuke11–13-0.0513%7 Sept →
ancient10–130.0215%3 Sept →
inferno9–130.0048%3 Sept →
anubis3–13-0.0621%2 Sept →
mirage5–13-0.0323%2 Sept →
nuke2–13-0.0524%25 Aug →
ancient6–13-0.042%25 Aug →
ancient7–130.0213%25 Aug →
ancient13–8-0.0116%10 Aug →
ancient4–130.0116%10 Aug →
nuke13–8-0.0131%10 Aug →
cache11–13-0.0621%5 Aug →
ancient13–100.0113%5 Aug →
anubis7–13-0.0517%5 Aug →
ancient16–140.0814%26 Jul →
anubis13–90.1017%26 Jul →
nuke13–11-0.0222%26 Jul →
ancient13–10.0119%30 Jun →
overpass13–7-0.0210%30 Jun →
nuke5–90.0022%30 Jun →
inferno8–8-0.0719%30 Jun →
ancient13–8-0.0218%17 Jun →
anubis16–13-0.0121%17 Jun →
overpass9–13-0.0121%11 Jun →
ancient13–80.0716%11 Jun →
mirage10–13-0.0119%3 Jun →
nuke5–130.0516%3 Jun →
overpass13–4-0.006%3 Jun →
overpass9–130.0810%25 May →
inferno4–13-0.0317%25 May →
nuke9–13-0.0823%25 May →
nuke13–7-0.0018%13 May →
ancient7–60.079%12 May →
overpass8–130.0314%12 May →
nuke9–13-0.0316%12 May →
nuke11–13-0.0213%29 Apr →
nuke13–90.0214%29 Apr →
cache13–40.1226%29 Apr →
mirage13–90.0515%26 Apr →
overpass9–70.046%26 Apr →
nuke13–110.0113%23 Apr →
ancient13–9-0.0414%23 Apr →
inferno6–13-0.0518%23 Apr →
inferno4–90.0121%22 Apr →
inferno9–30.1722%22 Apr →
inferno9–40.0821%22 Apr →
inferno9–40.0725%22 Apr →
inferno4–90.0516%18 Apr →
inferno9–20.1821%18 Apr →
vertigo13–11-0.055%16 Apr →
inferno1–13-0.0111%16 Apr →
ancient3–0-0.050%16 Apr →
nuke4–13-0.067%16 Apr →
inferno11–13-0.0621%7 Apr →
nuke12–12-0.0412%7 Apr →
inferno8–80.0111%7 Apr →
overpass13–50.0220%25 Mar →
nuke13–3-0.0229%25 Mar →
inferno10–13-0.016%16 Mar →
ancient8–13-0.0616%16 Mar →
ancient13–8-0.0312%16 Mar →
nuke13–80.0614%12 Mar →
inferno15–15-0.0519%12 Mar →
anubis13–100.0110%12 Mar →
dust26–13-0.0815%25 Feb →
inferno7–13-0.009%25 Feb →
anubis3–13-0.036%25 Feb →
vertigo9–7-0.0022%25 Feb →
nuke9–6-0.0117%25 Feb →
inferno4–9-0.014%25 Feb →

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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