𝑀𝒾𝓂𝓈𝑒 — CS2 Stats

DK76561198020302351[U:1:60036623]Steam profile ↗✓ No bans

2,033Tracked matches34%Win rate2020Tracked since

6,056Hours in CS39Hrs last 2 wks

CSDB Rating6.1 SolidPositional Player

Premier CS Rating17,942Purple band · top ~16.7% of ranked players (population est.)

CSDB Leaderboard#109825 of 252655 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 17,942 -1,811 24 Aug – 14 Oct · 22 days played

19,999Peak Premier in tracked matches

34Days played since 2026-08-24

Premier CS Rating

2,057 below peak (19,999)
-1,946 over 30 days · declining
Next: Pink band at 20,000 — 2,058 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-18
Blue band first seen 2026-09-18

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

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	112	—	—
Win rate	38%	—	—
K/D	0.88	—	—
Headshot %	55%	—	—

Measured 18 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 6 among CSDB-tracked players (n=13,185), 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.

Metric	This player	Level 6 median	Level 7 median	vs Level 7
Headshot rate	42.0%	44.8%	45.7%	3.7% short
Shot accuracy	17.3%	12.4%	12.7%	above
Kill/death ratio	1.01	1.03	1.05	0.04 short
Match win rate	42.0%	45.2%	45.7%	3.7% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim83

Positioning69

Utility24

0–100 skill scores via Leetify.

Recent form

COLD39–55–6Last 10039%Win rateLLLTLLWLLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +7.8pp headshot accuracy · −30ms reaction

Win rate down 20pp 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

0–4–1 · 0% win rate
Avg rating -0.03
Avg headshot accuracy 35%
Avg reaction 627ms

Last 10

1–8–1 · 10% win rate
Avg rating -0.05
Avg headshot accuracy 27%
Avg reaction 584ms

Last 20

4–14–2 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 23%
Avg reaction 599ms

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 (+2.5 against its own average).

Aim8.3

Utility2.4

Positioning6.9

Opening Duels4.3

Clutch4.0

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

Plays most like donk 75% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

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 66% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 587ms 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

Aim8.3

Positioning6.9

Utility2.4

Mechanics7.9

Opening Duels6.5

Win Impact0.0

Composite 6.1/10 (Solid), 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-0.02−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time575ms−35ms

first ⅓ avg 610ms → last ⅓ avg 575ms

Headshot accuracy21.8%−4.6%

first ⅓ avg 26.3% → last ⅓ avg 21.8%

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

0.10Best match rating · 8–8 · inferno, 1 Oct →

49%Best headshot accuracy · 12–12 · fachwerk, 14 Oct →

406msFastest reaction time · 5–9 · inferno, 12 Oct →

13–2Biggest win · office, 3 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L3Current streak

1–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 14% over 14

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	18	10–8	56%	-0.01
mirage	B	17	8–9	47%	-0.01
ancient	D	16	5–11	31%	-0.02
inferno	D	14	2–12	14%	-0.01
anubis	C	10	4–6	40%	0.01
dust2	D	6	1–5	17%	0.02
vertigo	D	5	1–4	20%	-0.02
cache	A	5	3–2	60%	0.02
fachwerk	—	2	1–1	50%	0.01
overpass	—	2	1–1	50%	0.06
train	—	2	1–1	50%	-0.04
office	—	2	1–1	50%	-0.02
boulder	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,391Lifetime kills

1.01K/D

7,414Matches

42.0%Match win rate

42.0%Headshot %

17.3%Shot accuracy · Top 25% of Level 6 players

22,716MVPs

3,374Hours (in match)

2,800Bombs planted

1,583Bombs defused

Most-used weapons

AK-4739,543

AWP30,694

M4A4 / M4A1-S17,785

Desert Eagle12,380

P2000 / USP-S7,337

Glock-185,168

SSG 082,757

MP92,619

P2502,208

MAC-101,432

Lifetime map wins

9,616inferno

9,461dust2

4,841nuke

3,318train

2,930vertigo

2,660cbble

499office

402lake

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

Faceit stats

Combat

259Matches

51%Win rate

0.97Avg K/D

85.3ADR

44%Headshot %

Clutches & streaks

40%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	34	47%	1.03	16.4
Inferno	27	52%	1.07	18.2
Nuke	26	62%	1.04	14.7
Mirage	21	38%	1.24	16.4
Dust2	14	36%	0.99	16.9
Anubis	13	54%	1.14	19.1
Cache	8	50%	0.94	16.1
Vertigo	6	17%	0.58	9.7

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.

22.2%Headshot accuracy

36.1%Accuracy (enemy spotted)

38.5%Spray accuracy

85.5%Counter-strafing

8.6°Preaim

587msReaction time

65.8%T opening success

46.5%CT opening success

0.34Enemies flashed / flash

4.7%Flash assists

8.01HE damage / grenade

1.28Flashes / 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.

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 0.3398 — below the 0.5 mark we flag
Grenade Lineups →

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.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	9–13	-0.03	31%	17 Oct →
dust2	6–13	-0.01	48%	16 Oct →
vertigo	6–13	-0.07	21%	16 Oct →
fachwerk	12–12	-0.01	49%	14 Oct →
anubis	6–13	-0.03	28%	14 Oct →
mirage	8–13	-0.06	19%	14 Oct →
nuke	13–5	-0.01	24%	14 Oct →
ancient	4–13	-0.05	16%	14 Oct →
ancient	2–13	-0.09	17%	14 Oct →
inferno	5–9	-0.11	20%	12 Oct →
overpass	8–8	0.08	19%	12 Oct →
nuke	13–10	-0.04	19%	11 Oct →
mirage	8–13	-0.02	20%	11 Oct →
cache	13–9	0.05	28%	11 Oct →
dust2	7–13	-0.05	31%	11 Oct →
train	3–13	-0.08	25%	11 Oct →
nuke	11–13	-0.03	14%	5 Oct →
inferno	6–13	-0.01	13%	4 Oct →
anubis	13–8	0.06	14%	4 Oct →
vertigo	7–13	-0.07	12%	4 Oct →
inferno	8–8	0.10	33%	1 Oct →
nuke	13–8	-0.01	19%	1 Oct →
ancient	5–13	-0.05	19%	1 Oct →
inferno	8–13	-0.03	22%	1 Oct →
mirage	3–13	-0.07	21%	1 Oct →
nuke	13–6	0.04	16%	29 Sept →
ancient	7–13	0.00	11%	28 Sept →
anubis	13–9	0.05	19%	27 Sept →
nuke	13–5	0.02	15%	27 Sept →
ancient	14–16	0.01	20%	27 Sept →
inferno	13–6	0.01	25%	26 Sept →
nuke	3–13	-0.09	22%	26 Sept →
inferno	7–9	-0.07	12%	26 Sept →
inferno	13–9	-0.02	26%	26 Sept →
inferno	5–13	0.00	45%	25 Sept →
ancient	5–13	-0.02	13%	25 Sept →
vertigo	13–11	0.04	39%	24 Sept →
vertigo	6–13	0.05	23%	24 Sept →
mirage	6–13	0.01	14%	23 Sept →
inferno	9–13	-0.04	22%	23 Sept →
nuke	11–13	0.06	24%	23 Sept →
inferno	10–13	-0.02	13%	22 Sept →
anubis	7–13	0.04	21%	18 Sept →
dust2	6–13	0.05	31%	18 Sept →
anubis	13–7	0.04	25%	18 Sept →
ancient	3–13	0.01	16%	18 Sept →
train	13–9	-0.01	24%	18 Sept →
ancient	13–9	-0.01	19%	18 Sept →
mirage	11–13	0.01	19%	18 Sept →
ancient	5–13	-0.01	22%	18 Sept →
cache	13–5	0.04	15%	17 Sept →
ancient	13–8	0.01	21%	17 Sept →
ancient	10–13	-0.01	14%	14 Sept →
nuke	13–9	0.02	31%	14 Sept →
mirage	13–7	-0.05	15%	14 Sept →
nuke	5–13	-0.05	9%	12 Sept →
inferno	6–13	0.01	34%	12 Sept →
inferno	10–13	-0.07	16%	12 Sept →
ancient	16–12	0.01	20%	12 Sept →
dust2	8–13	0.04	30%	11 Sept →
mirage	2–13	-0.01	22%	11 Sept →
boulder	13–8	0.03	22%	11 Sept →
fachwerk	13–5	0.04	20%	11 Sept →
anubis	13–9	0.02	24%	10 Sept →
mirage	16–13	-0.02	41%	10 Sept →
nuke	13–8	-0.01	37%	8 Sept →
mirage	13–6	-0.03	36%	8 Sept →
cache	10–13	0.01	13%	7 Sept →
nuke	13–5	0.01	35%	7 Sept →
dust2	10–13	0.01	18%	7 Sept →
ancient	12–12	-0.04	21%	7 Sept →
anubis	6–13	-0.03	28%	6 Sept →
ancient	4–1	-0.04	33%	6 Sept →
inferno	15–15	0.07	33%	5 Sept →
nuke	11–13	-0.00	33%	5 Sept →
nuke	12–16	-0.01	24%	4 Sept →
nuke	12–12	-0.02	19%	4 Sept →
dust2	13–4	0.07	27%	4 Sept →
office	9–13	-0.06	25%	4 Sept →
cache	9–13	-0.00	41%	3 Sept →
ancient	13–6	-0.04	21%	3 Sept →
mirage	13–5	0.08	33%	3 Sept →
mirage	13–3	0.09	40%	3 Sept →
vertigo	10–13	-0.06	15%	3 Sept →
office	13–2	0.01	36%	3 Sept →
mirage	13–8	0.00	27%	1 Sept →
anubis	1–9	-0.03	36%	31 Aug →
overpass	13–9	0.05	27%	31 Aug →
anubis	6–13	-0.08	14%	31 Aug →
mirage	7–13	-0.04	24%	31 Aug →
mirage	10–13	0.03	37%	31 Aug →
inferno	10–13	0.03	10%	30 Aug →
nuke	5–13	-0.05	33%	30 Aug →
cache	13–3	0.00	36%	30 Aug →
mirage	13–9	-0.07	11%	30 Aug →
mirage	10–13	-0.04	30%	27 Aug →
mirage	13–3	-0.03	19%	27 Aug →
nuke	13–6	0.04	16%	25 Aug →
anubis	8–13	0.03	23%	25 Aug →
nuke	13–4	0.01	31%	24 Aug →