Cappucino Assasino

Cappucino Assasino — CS2 Stats

DE76561198175804790[U:1:215539062]Steam profile ↗✓ No bans

970Tracked matches60%Win rate2021Tracked since
1,495Hours in CS
CSDB Rating5.1 DevelopingSupport
FaceitLevel 9 · 1,500 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 970 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,190 -662 15 Jun – 5 Jul · 8 days played
23,08223,852peak 23,85215 Jun5 Jul
Faceit ELO: 1,500 +0 4 Sept – 6 Sept · 2 observations
1,5001,500peak 1,5004 Sept6 Sept
24,341Peak Premier in tracked matches
1,500Highest Faceit ELO seen on CSDB
24Days played since 2026-06-14

Faceit ELO

  • At peak — 1,500
  • Next: Level 8 at 1,531 — 31 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-04
  • Level 6 first seen 2026-09-04

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 Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate42.1%48.2%50.9%8.8% short
Shot accuracy11.6%13.2%13.7%2.1% short
Kill/death ratio1.291.071.09above
Match win rate50.8%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCappucino AssasinoFACEITLevel 9 · 1,500 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,500csdb.gg/stats

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Performance scores

Aim54
Positioning53
Utility77

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLLWLWWWWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.7pp headshot accuracy · −98ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 516ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 560ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 609ms

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 (+3.2 against its own average).

Aim5.4
Utility7.7
Positioning5.3
Opening Duels2.4
Clutch2.6

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 66% 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 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim5.4
Positioning5.3
Utility7.7
Mechanics3.3
Opening Duels2.0
Win Impact8.3

Composite 5.1/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time604ms+36ms
first ⅓ avg 568ms → last ⅓ avg 604ms
Headshot accuracy23.7%+1.8%
first ⅓ avg 21.9% → last ⅓ avg 23.7%

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

0.18Best match rating · 13–10 · overpass, 7 Jul →
45%Best headshot accuracy · 12–12 · shelter, 13 Jul →
383msFastest reaction time · 0–3 · inferno, 14 Jun →
13–2Biggest win · dust2, 17 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
9–0In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 79% over 14cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%0.03
nukeB168–850%0.03
infernoB147–750%0.01
ancientS1411–379%0.06
anubisA117–464%0.05
cacheD82–625%-0.00
overpassC52–340%0.05
mirage—41–325%-0.02
shelter—21–150%-0.01
vertigo—21–150%0.04
office—21–150%0.07
fachwerk—10–10%-0.04

Across the last 100 tracked matches.

Lifetime stats

77,591Lifetime kills
1.29K/D · Top 25% of Level 9 players
4,066Matches
50.8%Match win rate · Top 25% of Level 9 players
42.1%Headshot %
11.6%Shot accuracy
11,548MVPs
1,495Hours (in match)
4,741Bombs planted
1,514Bombs defused

Most-used weapons

AK-4715,410
AWP12,435
Knife1,985
SSG 081,924
Tec-91,753
P901,670

Lifetime map wins

10,821dust2
6,198inferno
2,946nuke
808office
534cbble
521train
399vertigo
155lake

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

Faceit stats

Combat

27Matches
85%Win rate
1.91Avg K/D
103.3ADR
52%Headshot %

Clutches & streaks

33%1v1 clutch win
41%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient989%1.8921.1
Nuke683%1.9722.8
Dust25100%2.1617.8
Inferno367%2.1923.0
Cache10%1.0618.0
Anubis1100%1.9431.0
Overpass1100%1.2018.0
Mirage1100%1.2012.0

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.

22.7%Headshot accuracy
32.3%Accuracy (enemy spotted)
35.0%Spray accuracy
65.0%Counter-strafing
10.7°Preaim
612msReaction time
29.2%T opening success
46.3%CT opening success
0.59Enemies flashed / flash
10.3%Flash assists
13.20HE damage / grenade
14.21Flashes / 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. 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 29.2185% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0318%20 Jul →
fachwerk9–13-0.0419%20 Jul →
shelter13–90.0332%20 Jul →
cache9–130.0129%18 Jul →
inferno3–3-0.0927%18 Jul →
nuke16–140.0520%17 Jul →
dust213–20.0318%17 Jul →
ancient13–40.0111%17 Jul →
dust213–40.0040%17 Jul →
vertigo5–130.0231%16 Jul →
overpass8–20.1225%16 Jul →
mirage2–13-0.0817%16 Jul →
dust213–9-0.0019%16 Jul →
dust210–130.0935%15 Jul →
inferno13–80.0013%15 Jul →
vertigo13–80.0726%15 Jul →
anubis13–30.1235%15 Jul →
inferno8–13-0.0413%14 Jul →
dust29–130.0119%14 Jul →
cache7–13-0.0518%14 Jul →
nuke3–13-0.0419%14 Jul →
dust213–30.0822%14 Jul →
ancient13–30.1529%14 Jul →
ancient13–40.1127%14 Jul →
anubis16–130.1017%14 Jul →
ancient13–90.0822%13 Jul →
ancient13–80.0629%13 Jul →
dust213–30.1120%13 Jul →
cache10–13-0.0227%13 Jul →
mirage4–13-0.0413%13 Jul →
shelter12–12-0.0545%13 Jul →
office13–60.0426%13 Jul →
nuke13–110.1622%12 Jul →
dust213–90.0733%12 Jul →
ancient13–5-0.0129%12 Jul →
inferno13–110.0231%12 Jul →
nuke6–130.0122%12 Jul →
anubis13–90.0817%12 Jul →
nuke13–70.0726%11 Jul →
cache12–12-0.0120%11 Jul →
dust29–130.0424%11 Jul →
anubis8–130.0424%10 Jul →
dust26–13-0.0716%10 Jul →
ancient13–40.0634%10 Jul →
cache13–60.0620%10 Jul →
nuke13–80.0229%10 Jul →
office12–120.1023%9 Jul →
mirage6–13-0.0712%9 Jul →
inferno13–50.1417%7 Jul →
dust27–130.0345%7 Jul →
overpass13–100.1825%7 Jul →
mirage13–100.1126%6 Jul →
dust213–90.0620%6 Jul →
nuke13–50.139%6 Jul →
cache10–13-0.0322%6 Jul →
inferno5–130.0425%5 Jul →
ancient7–130.0623%5 Jul →
dust212–120.0216%5 Jul →
ancient5–13-0.0219%5 Jul →
dust213–110.0229%5 Jul →
anubis13–110.0417%4 Jul →
nuke1–13-0.0527%4 Jul →
dust25–130.0016%4 Jul →
cache13–50.0629%3 Jul →
inferno13–80.0528%3 Jul →
nuke13–90.0123%3 Jul →
overpass10–13-0.0122%3 Jul →
ancient13–110.0730%3 Jul →
nuke8–130.0433%3 Jul →
ancient13–110.0520%2 Jul →
dust29–130.0638%2 Jul →
nuke13–110.0416%2 Jul →
dust28–13-0.0121%2 Jul →
inferno7–130.0128%2 Jul →
anubis13–100.0120%1 Jul →
nuke9–13-0.0626%1 Jul →
ancient6–13-0.0018%1 Jul →
dust24–130.0631%1 Jul →
nuke9–13-0.0322%1 Jul →
cache2–13-0.0515%1 Jul →
anubis8–130.0224%23 Jun →
inferno13–50.0615%23 Jun →
anubis8–130.0125%23 Jun →
nuke13–30.0930%22 Jun →
dust27–13-0.0531%22 Jun →
ancient13–70.0622%22 Jun →
inferno4–13-0.0416%22 Jun →
anubis13–90.0722%19 Jun →
ancient13–30.1123%19 Jun →
overpass9–13-0.0514%19 Jun →
dust212–120.0626%18 Jun →
overpass9–130.0011%18 Jun →
anubis13–50.0224%18 Jun →
inferno12–120.0316%18 Jun →
nuke10–130.0421%18 Jun →
dust210–10.1025%18 Jun →
nuke8–130.0118%15 Jun →
anubis7–130.0129%15 Jun →
inferno13–70.0714%15 Jun →
inferno0–3-0.080%14 Jun →

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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