Cuuxi

Cuuxi — CS2 Stats

DK76561199862041065[U:1:1901775337]Steam profile ↗✓ No bans

669Tracked matches30%Win rate2025Tracked since
863Hours in CS9Hrs last 2 wks
CSDB Rating2.2 LearningPositional Player
Premier CS Rating2,675Grey band · top ~88.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (42 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: 2,675 +732 7 Aug – 23 Sept · 9 days played
1,6102,675peak 2,6757 Aug23 Sept
2,675Peak Premier in tracked matches
21Days played since 2026-08-07

Premier CS Rating

  • At peak — 2,675
  • +388 over 30 days · steady
  • Next: Light Blue band at 5,000 — 2,325 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate45.5%38.2%39.9%above
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.820.830.920.10 short
Match win rate37.4%40.2%42.3%4.9% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGCuuxiPREMIER2,675 · Grey bandcsdb.gg/stats

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Performance scores

Aim25
Positioning37
Utility29

0–100 skill scores via Leetify.

Recent form

COLD34–57–9Last 10034%Win rateLWLLLLLWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.4pp headshot accuracy · −100ms 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 -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 658ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 654ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 704ms

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 (+1.5 against its own average).

Aim2.5
Utility2.9
Positioning3.7
Opening Duels0.0

Limited 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

Twistzz

Plays most like Twistzz 72% 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. 670ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5
Positioning3.7
Utility2.9
Mechanics3.3
Opening Duels0.0
Win Impact0.0

Composite 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.05
first ⅓ avg -0.01 → last ⅓ avg -0.05
Reaction time736ms+56ms
first ⅓ avg 680ms → last ⅓ avg 736ms
Headshot accuracy11.6%−1.7%
first ⅓ avg 13.3% → last ⅓ avg 11.6%

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

0.14Best match rating · 9–6 · inferno, 8 Aug →
40%Best headshot accuracy · 9–3 · inferno, 20 Sept →
422msFastest reaction time · 6–2 · nuke, 23 Sept →
13–2Biggest win · nuke, 23 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–3In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 45% over 22infernoWeakest map · 30% over 53
MapGradePlayedRecordWin rateAvg rating
infernoD5316–3730%-0.04
nukeB2210–1245%-0.04
mirageD62–433%-0.01
ancientC52–340%-0.05
anubis—41–325%-0.05
dust2—41–325%-0.04
overpass—42–250%-0.03
cache—10–10%-0.17
debris—10–10%-0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 53). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,519Lifetime kills
0.82K/D
976Matches
37.4%Match win rate
45.5%Headshot % · Top 25% of Grey band
0.0%Shot accuracy
2,018MVPs
241Hours (in match)
796Bombs planted
175Bombs defused

Most-used weapons

Lifetime map wins

2,262inferno
1,493nuke
862dust2
122train
30vertigo
23office
20ar_shoots
14lake

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.

10.4%Headshot accuracy
30.0%Accuracy (enemy spotted)
26.3%Spray accuracy
64.8%Counter-strafing
10.2°Preaim
670msReaction time
25.2%T opening success
27.4%CT opening success
0.32Enemies flashed / flash
1.3%Flash assists
10.01HE damage / grenade
1.19Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.4212% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3224 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 25.244% — below the 40% mark we flag

Spend your practice time on Inferno

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

30% win rate across 53 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–9-0.175%4 Nov →
mirage13–70.0621%28 Oct →
nuke4–13-0.0714%28 Oct →
anubis0–13-0.059%28 Oct →
nuke8–13-0.049%21 Oct →
mirage3–13-0.0911%21 Oct →
cache4–13-0.175%21 Oct →
nuke13–80.0419%21 Oct →
inferno6–13-0.080%21 Oct →
mirage13–9-0.026%23 Sept →
nuke6–2-0.060%23 Sept →
inferno13–10-0.074%23 Sept →
inferno7–130.0218%23 Sept →
inferno12–12-0.087%20 Sept →
inferno6–9-0.0911%20 Sept →
inferno6–9-0.0319%20 Sept →
nuke2–9-0.184%20 Sept →
inferno9–30.073%20 Sept →
inferno9–30.1240%20 Sept →
inferno5–9-0.228%20 Sept →
nuke9–2-0.1023%20 Sept →
nuke7–13-0.0613%19 Sept →
nuke8–13-0.0912%19 Sept →
ancient8–13-0.0710%19 Sept →
dust211–13-0.0111%19 Sept →
ancient13–9-0.0013%19 Sept →
overpass9–4-0.159%19 Sept →
nuke9–20.0817%19 Sept →
inferno6–9-0.0712%19 Sept →
inferno5–90.0410%19 Sept →
debris3–9-0.178%19 Sept →
overpass8–80.0413%19 Sept →
nuke9–40.0019%19 Sept →
nuke4–9-0.1610%19 Sept →
inferno8–80.0613%19 Sept →
inferno8–8-0.0524%19 Sept →
ancient13–7-0.056%19 Sept →
nuke5–90.0110%19 Sept →
inferno4–9-0.2011%19 Sept →
inferno3–9-0.048%19 Sept →
inferno5–9-0.0928%18 Sept →
inferno1–13-0.090%18 Sept →
anubis8–13-0.0416%18 Sept →
ancient8–13-0.058%18 Sept →
inferno3–13-0.0821%9 Sept →
ancient12–12-0.079%6 Sept →
inferno12–12-0.0112%6 Sept →
inferno0–13-0.113%6 Sept →
inferno9–6-0.0511%2 Sept →
inferno8–8-0.149%2 Sept →
inferno9–13-0.0912%2 Sept →
nuke6–13-0.0916%2 Sept →
mirage7–13-0.0710%2 Sept →
inferno13–5-0.069%2 Sept →
nuke9–7-0.0414%29 Aug →
inferno5–9-0.060%29 Aug →
nuke3–9-0.0717%29 Aug →
inferno2–9-0.1324%29 Aug →
overpass9–6-0.0415%29 Aug →
inferno4–9-0.1619%29 Aug →
nuke5–9-0.130%25 Aug →
nuke9–6-0.0211%25 Aug →
inferno9–5-0.0217%25 Aug →
inferno9–7-0.135%25 Aug →
inferno4–9-0.0811%25 Aug →
inferno2–13-0.1017%23 Aug →
anubis13–7-0.0214%23 Aug →
nuke13–20.1118%23 Aug →
inferno4–13-0.0610%23 Aug →
nuke10–13-0.0318%19 Aug →
dust24–13-0.0711%19 Aug →
inferno13–40.058%19 Aug →
mirage7–130.0120%16 Aug →
inferno10–13-0.077%16 Aug →
nuke9–50.0415%14 Aug →
inferno8–13-0.0511%14 Aug →
inferno10–13-0.0115%12 Aug →
inferno9–40.006%10 Aug →
inferno9–30.1312%10 Aug →
inferno9–7-0.0425%10 Aug →
inferno9–20.1314%10 Aug →
inferno9–13-0.053%9 Aug →
inferno7–13-0.079%9 Aug →
inferno4–9-0.1211%8 Aug →
inferno9–6-0.0726%8 Aug →
inferno3–90.027%8 Aug →
dust27–13-0.0711%8 Aug →
anubis7–13-0.1016%8 Aug →
inferno5–9-0.0716%8 Aug →
inferno9–3-0.0117%8 Aug →
inferno6–9-0.0210%8 Aug →
dust213–100.0016%8 Aug →
nuke8–8-0.0210%8 Aug →
inferno9–60.1416%8 Aug →
mirage11–130.0514%8 Aug →
inferno4–9-0.118%8 Aug →
inferno9–60.1315%8 Aug →
inferno7–90.0414%7 Aug →
overpass8–80.0211%7 Aug →
nuke4–4-0.0222%7 Aug →

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 →

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