M1KA — CS2 Stats

CA76561198883606762[U:1:923341034]Steam profile ↗✓ No bans

8,444Tracked matches63%Win rate2020Tracked since

5,274Hours in CS

CSDB Rating6.5 SolidSupport

Premier CS Rating19,422Top 50% of 204,219 CSDB-tracked playersPurple band · top ~10.8% of ranked players (population est.)

CSDB Leaderboard#90532 of 251320 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (19 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: 19,422 -735 31 Aug – 23 Sept · 5 days played

Faceit ELO: 1,991 +0 31 Aug – 9 Sept · 3 observations

20,157Peak Premier in tracked matches

1,991Highest Faceit ELO seen on CSDB

31Days played since 2026-08-31

Premier CS Rating

735 below peak (20,157)
-735 over 30 days · declining
Next: Pink band at 20,000 — 578 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-31
Purple band first seen 2026-08-31

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.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	152	—	—
Win rate	50%	—	—
K/D	1.52	—	—
Headshot %	83%	—	—

Measured 12 Sep 2026 → 12 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 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate	56.3%	50.9%
Shot accuracy	10.8%	13.7%
Kill/death ratio	1.26	1.09
Match win rate	47.5%	48.4%

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Performance scores

Aim81

Positioning52

Utility66

0–100 skill scores via Leetify.

Recent form

HOT68–31–1Last 10068%Win rateWLWWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · +115ms reaction

Win rate up 30pp 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

4–1 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 29%
Avg reaction 714ms

Last 10

9–1 · 90% win rate
Avg rating -0.01
Avg headshot accuracy 27%
Avg reaction 600ms

Last 20

15–5 · 75% win rate
Avg rating -0.01
Avg headshot accuracy 27%
Avg reaction 543ms

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 (+2.1 against its own average).

Aim8.1

Utility6.6

Positioning5.2

Opening Duels3.4

Clutch2.6

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 Twistzz 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.1

Positioning5.2

Utility6.6

Mechanics4.5

Opening Duels4.4

Win Impact9.4

Composite 6.5/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time530ms−2ms

first ⅓ avg 533ms → last ⅓ avg 530ms

Headshot accuracy27.1%+1.8%

first ⅓ avg 25.4% → last ⅓ avg 27.1%

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

0.09Best match rating · 13–5 · dust2, 11 Oct →

67%Best headshot accuracy · 13–1 · dust2, 25 Sept →

328msFastest reaction time · 13–6 · dust2, 10 Oct →

13–1Biggest win · dust2, 25 Sept →

Across the last 100 tracked matches.

Highlights

12Longest win streak

6–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 75% over 12ancientWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	73	53–20	73%	-0.01
anubis	S	12	9–3	75%	0.01
ancient	C	9	4–5	44%	-0.01
cache	—	4	1–3	25%	-0.04
mirage	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

307,340Lifetime kills

1.26K/D · Top 25% of Level 10 players

12,072Matches

47.5%Match win rate

56.3%Headshot % · Top 50% of Level 10 players

10.8%Shot accuracy

27,259MVPs

5,274Hours (in match)

9,056Bombs planted

2,756Bombs defused

Most-used weapons

AK-4795,913

AWP59,075

Desert Eagle34,202

M4A4 / M4A1-S31,861

SSG 0819,289

P2000 / USP-S14,741

Glock-1810,555

Galil AR6,848

MP94,700

FAMAS4,087

Lifetime map wins

101,858dust2

2,404inferno

873vertigo

701nuke

379train

57office

30italy

18cbble

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

Faceit stats

Combat

480Matches

57%Win rate

1.19Avg K/D

79.7ADR

55%Headshot %

Clutches & streaks

33%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	77	79%	1.26	15.7
Ancient	51	49%	1.05	15.7
Anubis	39	59%	1.00	14.3
Cache	9	44%	0.91	14.2
Inferno	7	43%	0.87	14.3
Mirage	7	43%	0.72	13.0
Nuke	4	25%	1.00	20.0
Vertigo	3	67%	1.09	17.7

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.

27.5%Headshot accuracy

31.8%Accuracy (enemy spotted)

33.0%Spray accuracy

70.2%Counter-strafing

6.7°Preaim

524msReaction time

44.7%T opening success

50.5%CT opening success

0.69Enemies flashed / flash

8.6%Flash assists

8.61HE damage / grenade

14.37Flashes / match

Recommended for you

Spend your practice time on Ancient

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	-0.05	24%	12 Oct →
dust2	4–13	-0.11	13%	11 Oct →
dust2	13–9	-0.01	29%	11 Oct →
dust2	9–1	0.01	36%	11 Oct →
dust2	13–5	0.09	45%	11 Oct →
dust2	13–3	0.03	33%	11 Oct →
dust2	13–3	-0.00	13%	11 Oct →
ancient	13–10	-0.03	25%	10 Oct →
dust2	13–4	-0.02	29%	10 Oct →
dust2	13–6	0.03	19%	10 Oct →
ancient	13–7	0.04	20%	9 Oct →
dust2	13–8	-0.07	15%	9 Oct →
dust2	13–10	0.01	40%	6 Oct →
dust2	13–6	0.01	26%	6 Oct →
dust2	11–13	-0.04	21%	6 Oct →
anubis	10–13	0.03	26%	4 Oct →
dust2	13–7	-0.01	33%	4 Oct →
dust2	13–10	0.05	32%	4 Oct →
dust2	5–13	-0.10	38%	4 Oct →
ancient	4–13	-0.06	24%	4 Oct →
dust2	10–13	0.01	19%	4 Oct →
ancient	9–13	-0.05	23%	3 Oct →
anubis	6–13	0.03	34%	3 Oct →
dust2	6–13	-0.03	21%	3 Oct →
dust2	13–2	0.05	50%	3 Oct →
dust2	16–14	-0.00	39%	2 Oct →
dust2	13–8	0.04	31%	1 Oct →
dust2	13–8	0.00	24%	1 Oct →
dust2	8–13	-0.05	26%	30 Sept →
dust2	0–13	-0.05	14%	30 Sept →
dust2	13–9	-0.00	23%	29 Sept →
dust2	7–13	-0.04	30%	29 Sept →
dust2	13–10	0.03	20%	28 Sept →
dust2	10–13	-0.07	22%	27 Sept →
dust2	13–8	-0.06	38%	27 Sept →
dust2	13–9	0.01	22%	27 Sept →
dust2	13–3	-0.01	50%	27 Sept →
dust2	13–2	0.01	50%	27 Sept →
dust2	13–3	0.05	43%	27 Sept →
dust2	13–2	0.04	17%	27 Sept →
dust2	13–9	0.02	22%	27 Sept →
dust2	13–4	-0.07	19%	26 Sept →
dust2	7–13	-0.04	21%	26 Sept →
dust2	13–1	0.01	67%	25 Sept →
dust2	13–7	0.01	29%	25 Sept →
dust2	3–13	-0.05	35%	25 Sept →
dust2	3–13	-0.10	25%	25 Sept →
dust2	13–5	0.02	36%	24 Sept →
cache	7–13	-0.04	32%	24 Sept →
dust2	13–7	0.03	24%	23 Sept →
dust2	5–13	-0.04	26%	23 Sept →
anubis	16–13	0.02	32%	22 Sept →
dust2	8–13	-0.06	20%	22 Sept →
dust2	13–7	-0.02	17%	20 Sept →
dust2	13–10	-0.04	30%	19 Sept →
dust2	13–10	0.02	26%	19 Sept →
dust2	13–4	-0.08	21%	19 Sept →
dust2	7–13	0.01	25%	18 Sept →
dust2	6–13	-0.04	24%	18 Sept →
dust2	9–13	0.04	29%	18 Sept →
dust2	11–13	-0.04	23%	18 Sept →
dust2	13–7	0.08	19%	18 Sept →
anubis	14–16	-0.01	33%	17 Sept →
dust2	13–8	0.02	37%	16 Sept →
mirage	13–11	-0.01	29%	16 Sept →
anubis	13–6	-0.01	31%	16 Sept →
dust2	13–2	0.05	60%	16 Sept →
dust2	13–3	0.01	14%	14 Sept →
dust2	13–11	0.01	29%	14 Sept →
dust2	11–13	-0.02	25%	14 Sept →
dust2	13–8	0.01	14%	14 Sept →
dust2	16–14	-0.01	16%	13 Sept →
cache	5–13	-0.08	12%	12 Sept →
anubis	13–7	0.00	30%	12 Sept →
ancient	11–13	0.03	20%	12 Sept →
anubis	13–7	-0.03	26%	11 Sept →
anubis	13–7	0.00	21%	11 Sept →
dust2	13–8	0.01	22%	11 Sept →
mirage	11–13	-0.07	12%	11 Sept →
ancient	13–9	-0.02	35%	11 Sept →
cache	13–9	-0.04	16%	11 Sept →
anubis	13–3	0.03	19%	11 Sept →
anubis	13–11	-0.03	15%	10 Sept →
cache	11–13	0.01	30%	10 Sept →
dust2	13–11	0.00	24%	10 Sept →
ancient	13–10	0.03	18%	10 Sept →
dust2	13–6	-0.01	33%	9 Sept →
dust2	13–9	0.00	35%	9 Sept →
anubis	13–9	0.04	25%	9 Sept →
ancient	11–13	-0.01	34%	9 Sept →
anubis	16–12	0.07	29%	9 Sept →
dust2	13–8	-0.02	35%	8 Sept →
dust2	13–4	0.05	43%	8 Sept →
ancient	10–13	-0.00	19%	7 Sept →
dust2	13–9	0.01	29%	7 Sept →
dust2	13–9	0.02	33%	7 Sept →
dust2	11–4	0.06	26%	7 Sept →
dust2	13–6	-0.02	48%	7 Sept →
dust2	13–7	0.05	27%	7 Sept →
dust2	12–12	-0.01	24%	7 Sept →