Coffee

Coffee — CS2 Stats

DE76561199834760542[U:1:1874494814]Steam profile ↗✓ No bans

252Tracked matches48%Win rate2025Tracked since
CSDB Rating5.2 DevelopingPositional Player
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,673 -175 1 Mar – 2 Jul · 23 days played
11,94914,712peak 14,7121 Mar2 Jul
14,712Peak Premier in tracked matches
61Days played since 2026-03-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim70
Positioning53
Utility14

0–100 skill scores via Leetify.

Recent form

COLD51–44–5Last 10051%Win rateTWWLLTLLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −3.7pp headshot accuracy · −54ms reaction

Win rate 0pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 469ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 524ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 550ms

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 (+2.9 against its own average).

Aim7.0
Utility1.4
Positioning5.3
Opening Duels3.1
Clutch0.0

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

s1mple

Plays most like s1mple 82% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 53% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 555ms 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

Aim7.0
Positioning5.3
Utility1.4
Mechanics6.9
Opening Duels3.9
Win Impact4.4

Composite 5.2/10 (Developing), 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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time558ms−53ms
first ⅓ avg 611ms → last ⅓ avg 558ms
Headshot accuracy22.2%−3.5%
first ⅓ avg 25.7% → last ⅓ avg 22.2%

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

0.15Best match rating · 13–4 · cache, 6 May →
75%Best headshot accuracy · 1–12 · cache, 22 May →
422msFastest reaction time · 15–15 · mirage, 1 Oct →
13–1Biggest win · mirage, 27 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 56% over 39infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheA3922–1756%-0.01
mirageB2110–1148%-0.02
dust2B189–950%-0.03
ancientA95–456%-0.01
infernoD72–529%-0.06
vertigo—21–150%0.00
anubis—21–150%0.05
overpass—21–150%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.50Avg K/D
60.0ADR
75%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

21.5%Headshot accuracy
30.2%Accuracy (enemy spotted)
28.6%Spray accuracy
81.3%Counter-strafing
8.2°Preaim
555msReaction time
53.4%T opening success
37.8%CT opening success
0.26Enemies flashed / flash
3.0%Flash assists
6.40HE damage / grenade
1.83Flashes / 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 0.2593 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.8172% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage15–15-0.0313%1 Oct →
cache13–7-0.0110%30 Sept →
mirage13–90.0119%23 Sept →
dust25–13-0.0819%23 Sept →
mirage7–13-0.0319%23 Sept →
cache15–150.0541%17 Sept →
mirage8–13-0.0024%8 Sept →
dust21–13-0.1223%5 Sept →
mirage10–130.0013%3 Sept →
ancient13–7-0.0020%30 Aug →
mirage13–6-0.0712%30 Aug →
cache8–130.0028%29 Aug →
mirage13–90.1023%28 Aug →
dust23–9-0.0421%27 Aug →
mirage15–15-0.0126%24 Aug →
cache8–13-0.0725%30 Jul →
ancient2–13-0.0829%27 Jul →
inferno4–13-0.0638%27 Jul →
cache10–13-0.0125%24 Jul →
ancient13–9-0.0111%20 Jul →
dust29–13-0.0412%20 Jul →
cache10–6-0.0127%18 Jul →
cache7–13-0.0123%8 Jul →
cache13–10-0.0511%7 Jul →
cache13–60.1023%5 Jul →
cache5–00.1138%5 Jul →
mirage13–11-0.0420%2 Jul →
cache10–13-0.0328%28 Jun →
mirage13–60.0714%23 Jun →
dust213–8-0.0223%23 Jun →
cache6–13-0.0117%21 Jun →
cache5–13-0.0326%21 Jun →
cache13–9-0.0133%4 Jun →
cache9–13-0.0429%4 Jun →
cache5–13-0.1121%4 Jun →
cache13–8-0.0324%29 May →
cache13–10-0.040%27 May →
cache13–11-0.0440%26 May →
cache13–8-0.0126%26 May →
cache1–12-0.0875%22 May →
cache12–12-0.0124%21 May →
cache13–4-0.0220%20 May →
cache13–11-0.089%20 May →
cache13–7-0.0227%20 May →
cache13–8-0.0217%19 May →
cache13–70.0226%13 May →
cache5–13-0.0647%13 May →
cache13–110.0136%13 May →
cache13–10-0.0619%11 May →
cache13–80.0029%11 May →
cache12–12-0.0312%6 May →
cache13–10-0.0216%6 May →
cache13–40.1539%6 May →
cache11–13-0.0320%2 May →
cache5–13-0.0313%2 May →
cache9–20.0629%2 May →
cache5–130.0032%1 May →
cache13–50.0333%1 May →
inferno9–13-0.0720%27 Apr →
mirage12–16-0.0623%27 Apr →
dust213–70.1121%22 Apr →
dust26–13-0.0117%22 Apr →
dust213–11-0.0222%16 Apr →
mirage11–13-0.0124%14 Apr →
vertigo9–13-0.0338%11 Apr →
vertigo13–70.0436%10 Apr →
dust213–5-0.0322%8 Apr →
dust213–2-0.0335%8 Apr →
dust28–13-0.0924%7 Apr →
anubis13–100.0631%7 Apr →
anubis7–130.0417%7 Apr →
ancient4–130.0017%1 Apr →
ancient13–10-0.0124%31 Mar →
mirage13–1-0.0127%27 Mar →
mirage9–13-0.0521%27 Mar →
inferno9–13-0.0925%26 Mar →
mirage2–13-0.1013%26 Mar →
ancient13–90.0421%25 Mar →
mirage6–13-0.0243%25 Mar →
ancient13–16-0.0523%25 Mar →
dust213–8-0.0433%23 Mar →
mirage13–9-0.0317%19 Mar →
dust213–9-0.0814%18 Mar →
mirage13–70.0627%18 Mar →
inferno13–20.0330%18 Mar →
ancient4–13-0.0329%18 Mar →
inferno13–11-0.0915%15 Mar →
dust213–4-0.0132%15 Mar →
mirage13–11-0.0142%14 Mar →
mirage13–9-0.0730%14 Mar →
overpass13–10-0.0718%11 Mar →
overpass8–13-0.0523%11 Mar →
ancient13–8-0.0026%11 Mar →
dust211–130.0123%11 Mar →
mirage5–13-0.0340%10 Mar →
dust212–16-0.0418%6 Mar →
inferno5–13-0.1221%5 Mar →
dust28–13-0.0536%2 Mar →
dust213–9-0.0126%2 Mar →
inferno8–13-0.0429%1 Mar →

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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