Kaffemaskine — CS2 Stats

DK76561197961474456[U:1:1208728]Steam profile ↗✓ No bans

1,453Tracked matches53%Win rate2020Tracked since

CSDB Rating7.1 StrongSupport

Premier CS Rating24,714Top 25% of 210,832 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)

CSDB Leaderboard#25673 of 257841 tracked

FaceitLevel 8 · 1,655 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (3 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: 24,714 +1,888 25 Jun – 24 Oct · 19 days played

24,714Peak Premier in tracked matches

1,655Highest Faceit ELO seen on CSDB

24Days played since 2026-06-23

Faceit ELO

At peak — 1,655
Next: Level 9 at 1,751 — 96 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-09-03
Level 7 first seen 2026-09-03

Premier CS Rating

At peak — 24,714
+1,044 over 30 days · improving
+2,212 over 90 days
Next: Red band at 25,000 — 286 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-03
Purple band first seen 2026-09-03

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.

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Performance scores

Aim79

Positioning64

Utility80

0–100 skill scores via Leetify.

Recent form

HOT48–51–1Last 10048%Win rateWWWWWWWLLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · +2.8pp headshot accuracy · −27ms reaction

Win rate up 30pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

5–0 · 100% win rate
Avg rating -0.00
Avg headshot accuracy 24%
Avg reaction 559ms

Last 10

8–2 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 573ms

Last 20

13–7 · 65% win rate
Avg rating -0.00
Avg headshot accuracy 19%
Avg reaction 586ms

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 (+2.8 against its own average).

Aim7.9

Utility8.0

Positioning6.4

Opening Duels3.1

Clutch3.2

Strong CT-side openerEffective flashesHigh 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

Plays most like ZywOo 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 80 — grenade impact well above the norm.

Areas to improve

Reaction time. 582ms 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

Aim7.9

Positioning6.4

Utility8.0

Mechanics7.2

Opening Duels4.4

Win Impact6.1

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time584ms−15ms

first ⅓ avg 599ms → last ⅓ avg 584ms

Headshot accuracy18.4%−0.3%

first ⅓ avg 18.7% → last ⅓ avg 18.4%

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

0.12Best match rating · 13–5 · cache, 25 Aug →

44%Best headshot accuracy · 13–4 · cache, 28 Jul →

414msFastest reaction time · 2–13 · inferno, 1 Oct →

13–2Biggest win · dust2, 18 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W7Current streak

9–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 57% over 23mirageWeakest map · 32% over 22

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	13–10	57%	-0.00
mirage	D	22	7–15	32%	-0.01
nuke	B	20	10–10	50%	0.02
cache	A	18	10–8	56%	0.02
dust2	A	7	4–3	57%	-0.02
ancient	B	6	3–3	50%	0.01
anubis	—	3	1–2	33%	-0.04
overpass	—	1	0–1	0%	0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 22). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,250Matches

50%Win rate

1.10Avg K/D

77.1ADR

39%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	86	42%	1.02	15.1
Nuke	75	64%	1.23	15.9
Mirage	72	39%	0.94	15.0
Train	12	67%	1.21	19.0
Vertigo	11	36%	1.03	16.6
Ancient	9	33%	0.81	12.6
Overpass	8	50%	0.98	14.4
Dust2	2	0%	0.90	15.0

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.

18.9%Headshot accuracy

37.0%Accuracy (enemy spotted)

42.1%Spray accuracy

82.4%Counter-strafing

10.1°Preaim

582msReaction time

45.1%T opening success

50.0%CT opening success

0.76Enemies flashed / flash

9.2%Flash assists

12.86HE damage / grenade

16.34Flashes / 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.

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	16–14	0.01	19%	24 Oct →
mirage	13–11	0.00	19%	24 Oct →
inferno	13–9	-0.03	21%	24 Oct →
dust2	13–11	-0.02	30%	23 Oct →
nuke	13–7	0.03	29%	23 Oct →
dust2	16–12	-0.02	20%	23 Oct →
inferno	16–14	-0.02	18%	23 Oct →
mirage	4–13	-0.07	9%	23 Oct →
nuke	12–16	0.02	20%	23 Oct →
inferno	13–11	-0.02	19%	23 Oct →
inferno	13–7	-0.00	12%	18 Oct →
nuke	8–13	-0.01	26%	18 Oct →
dust2	13–2	-0.07	7%	18 Oct →
ancient	13–9	0.03	15%	18 Oct →
inferno	6–13	0.02	13%	18 Oct →
inferno	13–7	0.07	21%	17 Oct →
dust2	5–13	-0.04	23%	17 Oct →
dust2	13–6	0.09	28%	17 Oct →
mirage	10–13	0.01	6%	2 Oct →
inferno	10–13	-0.01	24%	2 Oct →
nuke	9–13	-0.03	20%	2 Oct →
mirage	9–13	-0.05	19%	2 Oct →
dust2	6–13	-0.04	14%	2 Oct →
inferno	6–2	0.03	18%	2 Oct →
anubis	5–13	-0.04	24%	2 Oct →
nuke	10–13	0.04	16%	1 Oct →
cache	13–7	0.02	12%	1 Oct →
inferno	13–5	-0.04	15%	1 Oct →
inferno	2–13	-0.05	39%	1 Oct →
dust2	3–13	-0.06	5%	1 Oct →
nuke	13–9	0.07	19%	1 Oct →
nuke	4–13	-0.05	17%	1 Oct →
nuke	13–7	0.02	9%	28 Sept →
ancient	10–13	-0.04	20%	28 Sept →
cache	2–13	-0.09	11%	28 Sept →
ancient	13–16	-0.03	16%	28 Sept →
nuke	13–9	-0.00	19%	28 Sept →
inferno	13–6	0.12	21%	8 Sept →
mirage	7–13	0.02	18%	8 Sept →
cache	13–10	0.03	16%	8 Sept →
ancient	13–11	0.05	23%	8 Sept →
ancient	12–5	0.05	18%	6 Sept →
mirage	14–16	-0.01	20%	6 Sept →
mirage	8–13	0.00	12%	6 Sept →
cache	15–15	0.02	23%	4 Sept →
nuke	13–2	0.06	20%	4 Sept →
inferno	13–2	0.06	20%	4 Sept →
inferno	11–13	0.01	15%	4 Sept →
mirage	7–13	-0.06	11%	3 Sept →
inferno	8–13	-0.03	13%	3 Sept →
mirage	13–5	0.08	12%	3 Sept →
nuke	13–9	0.01	25%	3 Sept →
nuke	6–13	0.04	19%	25 Aug →
cache	4–13	-0.05	14%	25 Aug →
cache	6–13	0.03	22%	25 Aug →
cache	13–5	0.12	17%	25 Aug →
inferno	9–13	-0.01	11%	23 Aug →
mirage	14–16	-0.00	25%	23 Aug →
mirage	12–16	-0.03	15%	23 Aug →
cache	13–10	0.01	25%	23 Aug →
mirage	7–13	-0.08	5%	19 Aug →
nuke	13–11	0.05	22%	19 Aug →
cache	13–10	-0.04	10%	19 Aug →
mirage	13–8	0.01	17%	19 Aug →
mirage	7–13	-0.03	9%	17 Aug →
nuke	8–13	-0.01	20%	17 Aug →
nuke	10–13	0.08	21%	17 Aug →
inferno	13–7	0.02	25%	17 Aug →
mirage	14–16	-0.04	17%	17 Aug →
anubis	13–8	-0.03	13%	14 Aug →
nuke	8–13	-0.01	15%	6 Aug →
inferno	5–13	-0.10	17%	6 Aug →
mirage	13–8	0.05	22%	6 Aug →
nuke	13–9	0.02	23%	6 Aug →
cache	13–10	0.01	23%	3 Aug →
inferno	13–10	0.01	17%	3 Aug →
inferno	13–6	0.00	8%	3 Aug →
mirage	13–5	0.08	15%	3 Aug →
cache	13–4	0.11	44%	28 Jul →
cache	11–13	-0.07	19%	27 Jul →
nuke	16–14	0.01	15%	27 Jul →
cache	6–13	0.05	16%	27 Jul →
inferno	5–13	-0.02	32%	13 Jul →
mirage	13–9	-0.01	19%	13 Jul →
mirage	6–13	-0.08	11%	13 Jul →
inferno	5–13	-0.08	35%	13 Jul →
mirage	13–8	0.03	10%	13 Jul →
cache	13–6	0.02	10%	13 Jul →
mirage	5–13	-0.05	15%	26 Jun →
inferno	8–13	-0.04	11%	26 Jun →
overpass	11–13	0.10	21%	26 Jun →
nuke	12–16	0.03	28%	26 Jun →
inferno	13–11	0.06	20%	26 Jun →
mirage	7–13	-0.02	19%	26 Jun →
ancient	7–13	-0.00	23%	25 Jun →
anubis	8–13	-0.04	12%	25 Jun →
cache	11–13	0.01	13%	23 Jun →
cache	13–10	0.04	15%	23 Jun →
cache	13–4	0.03	16%	23 Jun →
cache	8–13	0.04	23%	23 Jun →