Cup im Cup #Doublecup

Cup im Cup #Doublecup — CS2 Stats

VA76561198107140685[U:1:146874957]Steam profile ↗✓ No bans

2,910Tracked matches48%Win rate2020Tracked since
6,278Hours in CS13Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
Premier CS Rating19,143Top 50% of 215,386 CSDB-tracked playersPurple band · top ~11.9% of ranked players (population est.)
CSDB Leaderboard#98362 of 261506 tracked
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 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: 19,143 -1,773 5 Jun – 6 Nov · 24 days played
17,55821,122peak 21,1225 Jun6 Nov
Faceit ELO: 1,867 +0 12 Sept – 30 Sept · 3 observations
1,8671,867peak 1,86712 Sept30 Sept
21,122Peak Premier in tracked matches
1,867Highest Faceit ELO seen on CSDB
38Days played since 2026-06-05

Faceit ELO

  • At peak — 1,867
  • Next: Level 10 at 2,001 — 134 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-12
  • Level 8 first seen 2026-09-12

Premier CS Rating

  • 1,979 below peak (21,122)
  • +1,238 over 30 days · improving
  • Next: Pink band at 20,000 — 857 to go
  • Reached: Pink band · 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate48.5%44.4%46.9%above
Shot accuracy12.7%11.9%13.0%0.3% short
Kill/death ratio0.701.031.080.38 short
Match win rate40.9%45.2%46.7%5.8% short

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

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

Share this profile

CSDB.GGCup im Cup #DoublecupPREMIER19,143 · Purple bandPEAK ELO1,867csdb.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

Aim84
Positioning75
Utility65

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLWLLWWTLL

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · −3.2pp headshot accuracy · −30ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 450ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 464ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 479ms

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 against its own average).

Aim8.4
Utility6.5
Positioning7.5
Opening Duels5.2
Clutch3.0

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

T openings. 67% T opening-duel success — entries that actually open the round.

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

Aim8.4
Positioning7.5
Utility6.5
Mechanics5.7
Opening Duels8.1
Win Impact4.4

Composite 7.1/10 (Strong), 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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time489ms−92ms
first ⅓ avg 581ms → last ⅓ avg 489ms
Headshot accuracy23.3%−2.8%
first ⅓ avg 26.1% → last ⅓ avg 23.3%

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

0.19Best match rating · 13–2 · anubis, 26 Jul →
100%Best headshot accuracy · 5–13 · dust2, 10 Oct →
344msFastest reaction time · 11–13 · anubis, 11 Sept →
13–0Biggest win · anubis, 1 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 77% over 13mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%-0.00
anubisS2013–765%0.03
cacheC166–1038%0.01
nukeD155–1033%-0.01
infernoS1310–377%0.02
mirageD61–517%0.02
ancientD62–433%0.01
overpass—22–0100%-0.01
train—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

211,359Lifetime kills
0.70K/D
11,572Matches
40.9%Match win rate
48.5%Headshot % · Top 50% of Purple band
12.7%Shot accuracy · Top 50% of Purple band
22,961MVPs
4,894Hours (in match)
9,717Bombs planted
2,360Bombs defused

Most-used weapons

AK-4766,949
AWP39,687
Molotov5,397
Negev4,227
SSG 083,954
P2503,873

Lifetime map wins

19,640inferno
5,445nuke
5,064dust2
4,299train
2,678cbble
621vertigo
142lake
115stmarc

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

Faceit stats

Combat

1,535Matches
50%Win rate
1.10Avg K/D
74.2ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis27156%1.2316.2
Inferno24449%1.1015.4
Nuke15947%1.1016.2
Dust214044%1.0113.8
Ancient9745%0.9614.1
Mirage8740%0.8512.6
Train5661%1.2516.0
Overpass4558%1.1014.0

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.

23.7%Headshot accuracy
33.4%Accuracy (enemy spotted)
32.7%Spray accuracy
75.6%Counter-strafing
6.9°Preaim
486msReaction time
67.0%T opening success
58.0%CT opening success
0.60Enemies flashed / flash
11.1%Flash assists
7.55HE damage / grenade
12.48Flashes / match

Recommended for you

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 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0519%6 Nov →
dust28–130.0323%6 Nov →
cache13–6-0.0225%6 Nov →
mirage3–13-0.0021%5 Nov →
dust211–13-0.0616%5 Nov →
dust213–100.0126%4 Nov →
anubis13–110.0419%4 Nov →
mirage15–150.0018%4 Nov →
dust29–130.0530%4 Nov →
cache6–13-0.0116%1 Nov →
inferno16–140.0533%1 Nov →
anubis13–00.067%1 Nov →
dust23–13-0.0818%1 Nov →
cache11–130.0127%25 Oct →
inferno13–10-0.0031%25 Oct →
anubis13–11-0.0412%25 Oct →
ancient13–80.0235%25 Oct →
ancient7–130.0226%25 Oct →
inferno13–80.0335%25 Oct →
inferno13–70.0523%25 Oct →
dust27–13-0.1025%25 Oct →
ancient13–30.0019%25 Oct →
dust25–13-0.0514%24 Oct →
anubis6–130.0539%24 Oct →
nuke6–00.0838%24 Oct →
anubis13–110.0627%23 Oct →
nuke3–13-0.0416%23 Oct →
ancient4–130.0414%20 Oct →
mirage7–13-0.0326%20 Oct →
mirage13–40.1530%20 Oct →
anubis14–160.0320%19 Oct →
anubis13–20.0719%19 Oct →
nuke13–50.0724%18 Oct →
inferno13–70.0823%18 Oct →
cache13–60.0735%14 Oct →
nuke7–13-0.0610%14 Oct →
dust25–130.00100%10 Oct →
anubis13–90.0533%10 Oct →
dust213–20.0217%2 Oct →
inferno13–8-0.0328%2 Oct →
inferno13–40.0538%11 Sept →
anubis11–13-0.0229%11 Sept →
nuke13–10.0542%11 Sept →
inferno16–140.0528%11 Sept →
dust216–120.0339%11 Sept →
inferno13–90.0139%10 Sept →
cache11–13-0.0027%10 Sept →
nuke4–13-0.0630%9 Sept →
anubis5–130.0433%27 Aug →
cache6–130.0245%27 Aug →
anubis15–19-0.0120%11 Aug →
cache6–13-0.0715%9 Aug →
anubis13–80.0139%9 Aug →
anubis7–130.0315%9 Aug →
ancient11–13-0.0616%9 Aug →
dust26–13-0.0019%31 Jul →
cache13–20.0416%26 Jul →
anubis13–20.1923%26 Jul →
anubis16–12-0.0432%22 Jul →
ancient8–130.0332%19 Jul →
anubis6–130.0224%19 Jul →
dust27–13-0.0025%19 Jul →
cache10–13-0.0227%16 Jul →
cache7–13-0.0033%9 Jul →
nuke13–70.0237%9 Jul →
anubis13–10-0.0121%9 Jul →
cache13–100.0828%7 Jul →
inferno13–7-0.0455%3 Jul →
nuke13–50.0328%3 Jul →
dust211–13-0.0321%3 Jul →
inferno15–150.0418%2 Jul →
nuke7–130.0027%2 Jul →
cache10–130.0033%1 Jul →
nuke5–13-0.0120%1 Jul →
dust28–130.0015%1 Jul →
dust213–110.0529%1 Jul →
dust29–13-0.067%30 Jun →
dust29–13-0.0335%30 Jun →
anubis13–80.0418%24 Jun →
dust213–80.0511%24 Jun →
nuke6–13-0.0636%24 Jun →
dust213–30.0419%24 Jun →
train9–13-0.0620%16 Jun →
mirage4–13-0.0632%16 Jun →
cache13–110.0829%16 Jun →
cache7–2-0.0323%16 Jun →
cache12–120.0223%10 Jun →
dust29–130.0132%10 Jun →
nuke5–13-0.0626%10 Jun →
dust213–110.0335%10 Jun →
anubis13–30.0733%10 Jun →
cache5–130.0127%9 Jun →
nuke5–13-0.0619%9 Jun →
anubis13–110.0129%8 Jun →
nuke4–130.0131%8 Jun →
inferno10–13-0.0038%7 Jun →
nuke5–13-0.0126%7 Jun →
overpass13–110.0321%6 Jun →
inferno7–13-0.0720%6 Jun →
overpass13–6-0.0525%5 Jun →

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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