StarbucksCoffeeEnjoyer

StarbucksCoffeeEnjoyer — CS2 Stats

76561198845536007[U:1:885270279]Steam profile ↗✓ No bans

1,096Tracked matches46%Win rate2024Tracked since
1,166Hours in CS20Hrs last 2 wks
CSDB Rating3.8 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

+19Tracked matches · now 1,096
−2.0ppWin rate · 48.1% → 46.2%
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. 37 days played since 5 Jul 2026. 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

37Days played since 2026-07-05

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches511−6
Win rate60%36%+24pp
K/D1.030.81+0.22
Headshot %50%49%+1pp

Measured 12 Sep 202620 Sep 2026; previous 5 Sep 2026 → 12 Sep 2026.

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 4 among CSDB-tracked players (n=12,847), 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 4 medianLevel 5 medianvs Level 5
Headshot rate43.8%42.7%43.8%meets
Shot accuracy0.1%11.3%12.0%11.9% short
Kill/death ratio0.990.991.020.03 short
Match win rate44.1%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStarbucksCoffeeEnjoyerFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim48
Positioning39
Utility41

0–100 skill scores via Leetify.

Recent form

COLD385012Last 10038%Win rateTWWLLWLTLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +0.6pp headshot accuracy · +43ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 677ms

Last 10

  • 352 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 645ms

Last 20

  • 884 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 623ms

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 (+1 against its own average).

Aim4.8
Utility4.1
Positioning3.9
Opening Duels1.4
Clutch2.8

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 84% 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

Reaction time. 608ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.8
Positioning3.9
Utility4.1
Mechanics3.5
Opening Duels1.0
Win Impact3.7

Composite 3.8/10 (Learning), 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+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time607ms−7ms
first ⅓ avg 614ms → last ⅓ avg 607ms
Headshot accuracy17.9%+1.7%
first ⅓ avg 16.2% → last ⅓ avg 17.9%

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 · 11–13 · nuke, 26 Aug
50%Best headshot accuracy · 10–13 · inferno, 9 Aug
367msFastest reaction time · 9–13 · inferno, 7 Aug
13–0Biggest win · anubis, 23 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
66In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 57% over 7mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC27101737%-0.02
nukeB1991047%-0.02
cacheB84450%-0.01
mirageD81713%-0.03
dust2D82625%-0.04
vertigoA74357%-0.03
anubisD62433%0.01
train32167%-0.05
ancient31233%-0.00
debris3030%-0.03
fachwerk220100%-0.02
italy1010%-0.01
office1010%-0.08
overpass1010%-0.05
eldorado1010%-0.02
shelter110100%0.06
boulder1010%-0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,001Lifetime kills
0.99K/D
1,318Matches
44.1%Match win rate · Top 50% of Level 4 players
43.8%Headshot % · Top 50% of Level 4 players
0.1%Shot accuracy
3,061MVPs
466Hours (in match)
1,336Bombs planted
187Bombs defused

Most-used weapons

Lifetime map wins

3,286inferno
1,741nuke
1,187vertigo
1,090dust2
330train
144office
55italy
14ar_shoots

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

Faceit stats

Combat

104Matches
48%Win rate
0.94Avg K/D
78.8ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2846%1.0415.4
Dust21644%1.0516.3
Ancient1567%0.8014.7
Nuke1457%0.7811.4
Mirage1346%1.2416.4
Anubis1136%0.7713.3
Cache633%0.6712.5
Overpass10%0.6517.0

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.

17.7%Headshot accuracy
29.7%Accuracy (enemy spotted)
33.5%Spray accuracy
65.7%Counter-strafing
9.3°Preaim
608msReaction time
28.6%T opening success
38.3%CT opening success
0.46Enemies flashed / flash
2.9%Flash assists
5.62HE damage / grenade
8.34Flashes / 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 0.4574 — 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 28.6187% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno12–120.0118%20 Sept
nuke13–6-0.0316%17 Sept
nuke11–30.0735%17 Sept
inferno7–13-0.098%15 Sept
cache7–13-0.0116%15 Sept
inferno9–7-0.1418%12 Sept
inferno0–13-0.0315%12 Sept
anubis12–12-0.0114%12 Sept
anubis11–130.0010%10 Sept
inferno5–13-0.0435%10 Sept
nuke13–8-0.0621%6 Sept
mirage12–12-0.0121%6 Sept
vertigo13–4-0.0516%6 Sept
dust212–12-0.0319%6 Sept
train13–50.0013%6 Sept
italy3–13-0.0131%5 Sept
office9–13-0.0821%5 Sept
anubis10–13-0.0112%5 Sept
inferno13–11-0.0514%5 Sept
inferno13–100.0212%4 Sept
vertigo13–2-0.0515%4 Sept
nuke4–13-0.0520%30 Aug
nuke7–13-0.0311%30 Aug
cache4–13-0.0415%30 Aug
inferno13–6-0.0421%30 Aug
nuke13–10-0.0321%27 Aug
vertigo13–1-0.0329%27 Aug
inferno0–13-0.110%27 Aug
nuke10–130.0719%27 Aug
nuke10–13-0.0823%26 Aug
inferno13–70.0316%26 Aug
nuke11–130.1425%26 Aug
dust28–13-0.1111%25 Aug
nuke13–11-0.0418%25 Aug
cache3–00.060%25 Aug
mirage12–120.0128%25 Aug
train6–13-0.095%25 Aug
dust212–12-0.0315%25 Aug
mirage7–13-0.0718%24 Aug
mirage13–3-0.0122%24 Aug
vertigo7–13-0.117%24 Aug
inferno2–6-0.0417%24 Aug
mirage9–13-0.0419%23 Aug
anubis10–13-0.0619%23 Aug
anubis13–80.1019%23 Aug
anubis13–00.0421%23 Aug
overpass12–12-0.0520%23 Aug
ancient13–90.0119%23 Aug
cache13–6-0.0418%22 Aug
mirage10–130.0211%21 Aug
nuke13–7-0.029%18 Aug
dust213–10-0.019%18 Aug
mirage7–130.007%16 Aug
ancient3–13-0.0417%16 Aug
inferno13–10-0.0614%16 Aug
cache13–110.0222%16 Aug
vertigo12–120.0518%16 Aug
nuke11–13-0.0416%16 Aug
dust29–13-0.0418%16 Aug
inferno5–50.0725%15 Aug
nuke0–6-0.0614%15 Aug
inferno13–30.118%15 Aug
inferno9–130.1019%14 Aug
inferno13–10.1017%14 Aug
train13–11-0.0719%13 Aug
cache4–13-0.098%12 Aug
mirage4–13-0.110%10 Aug
inferno10–13-0.0950%9 Aug
inferno9–13-0.0824%7 Aug
nuke13–7-0.0330%31 Jul
vertigo13–90.0314%31 Jul
inferno13–70.0919%30 Jul
nuke13–9-0.0410%26 Jul
nuke5–9-0.0810%21 Jul
inferno4–90.0320%21 Jul
eldorado7–9-0.0220%21 Jul
dust25–13-0.0411%18 Jul
nuke13–6-0.0212%18 Jul
nuke10–130.1223%18 Jul
dust23–13-0.0710%17 Jul
inferno5–13-0.0418%17 Jul
shelter13–90.068%17 Jul
inferno5–8-0.0719%15 Jul
debris7–90.0022%15 Jul
debris8–8-0.0021%15 Jul
dust213–1-0.0010%10 Jul
cache9–13-0.0312%10 Jul
fachwerk13–11-0.0313%9 Jul
inferno3–9-0.2010%9 Jul
inferno4–9-0.1326%9 Jul
debris8–8-0.089%9 Jul
boulder2–5-0.130%9 Jul
fachwerk13–3-0.0217%8 Jul
inferno9–30.0920%7 Jul
inferno8–8-0.0818%7 Jul
vertigo2–13-0.018%5 Jul
cache13–40.0210%5 Jul
nuke8–13-0.0815%5 Jul
ancient9–130.0110%5 Jul
inferno12–12-0.0116%5 Jul

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 →