majesTic — CS2 Stats

76561197968445466[U:1:8179738]Steam profile ↗✓ No bans

2,665Tracked matches46%Win rate2022Tracked since

CSDB Rating5.2 DevelopingPositional Player

Premier CS Rating11,443Blue band · top ~47.3% of ranked players (population est.)

CSDB Leaderboard#176986 of 258415 tracked

WingmanSilver Elite Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (2 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: 11,443 -3,556 4 Apr – 27 Oct · 28 days played

Faceit ELO: 1,168 +0 30 Aug – 13 Sept · 3 observations

15,777Peak Premier in tracked matches

1,168Highest Faceit ELO seen on CSDB

53Days played since 2026-04-04

Faceit ELO

At peak — 1,168
Next: Level 6 at 1,201 — 33 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-08-30
Level 4 first seen 2026-08-30

Premier CS Rating

4,334 below peak (15,777)
+379 over 30 days · steady
Next: Purple band at 15,000 — 3,557 to go
Reached: Purple band · Blue band · Light Blue band

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

Aim67

Positioning54

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLWLWWTLWWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +2.5pp headshot accuracy · +31ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 722ms

Last 10

6–3–1 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 673ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 11%
Avg reaction 657ms

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 (+1.1 against its own average).

Aim6.7

Utility5.3

Positioning5.4

Opening Duels2.7

Clutch3.8

Strong CT-side openerLimited 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 Twistzz 90% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 642ms 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

Aim6.7

Positioning5.4

Utility5.3

Mechanics6.2

Opening Duels3.3

Win Impact3.8

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time633ms−1ms

first ⅓ avg 635ms → last ⅓ avg 633ms

Headshot accuracy10.9%−1.4%

first ⅓ avg 12.3% → last ⅓ avg 10.9%

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

0.13Best match rating · 13–2 · cache, 14 May →

24%Best headshot accuracy · 13–11 · vertigo, 8 Jul →

406msFastest reaction time · 13–8 · nuke, 6 May →

13–0Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 70% over 20mirageWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	22	9–13	41%	-0.00
nuke	S	20	14–6	70%	0.01
ancient	C	16	7–9	44%	0.02
inferno	C	14	5–9	36%	0.01
cache	B	12	6–6	50%	0.01
mirage	D	8	1–7	13%	-0.03
vertigo	D	7	2–5	29%	0.02
train	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches

52%Win rate

1.22Avg K/D

79.0ADR

34%Headshot %

Clutches & streaks

39%1v1 clutch win

17%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	37	54%	1.07	15.6
Anubis	26	54%	1.48	17.1
Inferno	19	37%	1.33	16.4
Ancient	14	57%	1.08	15.2
Vertigo	14	50%	1.33	15.6
Mirage	9	56%	0.91	11.4
Dust2	1	100%	1.07	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.

11.1%Headshot accuracy

41.9%Accuracy (enemy spotted)

42.2%Spray accuracy

78.1%Counter-strafing

10.7°Preaim

642msReaction time

37.0%T opening success

49.3%CT opening success

0.53Enemies flashed / flash

11.2%Flash assists

10.37HE damage / grenade

2.70Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.1121% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7007 — below the 4 mark we flag
Grenade Lineups →
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 37.0066% — 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 & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	5–13	-0.08	7%	27 Oct →
anubis	13–9	-0.03	16%	21 Oct →
cache	9–13	-0.08	11%	21 Oct →
cache	5–3	0.11	10%	21 Oct →
mirage	13–11	-0.08	14%	15 Oct →
inferno	12–12	-0.01	23%	15 Oct →
cache	10–13	0.03	11%	15 Oct →
anubis	13–5	0.05	14%	12 Oct →
anubis	13–6	0.05	11%	8 Oct →
nuke	16–13	-0.04	8%	8 Oct →
ancient	13–8	0.08	9%	8 Oct →
anubis	0–13	-0.05	0%	8 Oct →
nuke	13–4	-0.01	6%	7 Oct →
nuke	13–0	0.04	14%	7 Oct →
mirage	9–13	-0.03	16%	6 Oct →
vertigo	3–13	-0.05	11%	6 Oct →
mirage	11–13	0.01	9%	30 Sept →
mirage	11–13	-0.01	6%	28 Sept →
vertigo	5–13	0.05	8%	23 Sept →
vertigo	8–13	0.05	20%	18 Sept →
anubis	10–13	0.02	7%	18 Sept →
nuke	13–11	0.04	9%	18 Sept →
nuke	15–15	0.04	11%	17 Sept →
ancient	13–2	0.04	16%	17 Sept →
nuke	9–13	0.04	13%	10 Sept →
inferno	13–7	0.01	14%	10 Sept →
ancient	5–13	-0.04	4%	9 Sept →
cache	13–6	0.04	12%	9 Sept →
ancient	7–13	-0.04	10%	8 Sept →
nuke	8–13	-0.02	9%	8 Sept →
ancient	7–13	0.03	6%	4 Sept →
nuke	15–15	-0.01	11%	1 Sept →
inferno	16–14	0.03	15%	27 Aug →
anubis	9–13	-0.04	14%	27 Aug →
anubis	13–8	0.01	7%	26 Aug →
anubis	9–13	-0.05	4%	19 Aug →
nuke	13–1	0.05	8%	19 Aug →
anubis	13–5	0.05	11%	19 Aug →
nuke	13–7	0.04	11%	19 Aug →
train	13–6	-0.02	2%	14 Aug →
anubis	13–2	0.01	7%	5 Aug →
ancient	12–16	0.04	14%	4 Aug →
ancient	13–4	0.10	18%	4 Aug →
anubis	10–13	-0.01	8%	4 Aug →
inferno	7–13	-0.02	6%	4 Aug →
ancient	13–11	0.00	11%	14 Jul →
ancient	8–13	0.01	12%	14 Jul →
nuke	10–13	-0.05	9%	10 Jul →
vertigo	13–11	-0.02	24%	8 Jul →
cache	8–13	0.03	19%	6 Jul →
anubis	13–9	0.01	10%	6 Jul →
anubis	10–13	0.03	8%	2 Jul →
inferno	13–8	0.01	21%	1 Jul →
ancient	6–13	0.00	15%	29 Jun →
anubis	8–13	-0.01	9%	29 Jun →
ancient	2–13	0.01	7%	29 Jun →
mirage	10–13	0.05	14%	27 Jun →
ancient	13–11	0.06	15%	25 Jun →
ancient	11–13	-0.01	15%	22 Jun →
mirage	2–13	-0.10	9%	22 Jun →
nuke	13–3	0.06	11%	17 Jun →
inferno	8–13	-0.06	8%	17 Jun →
mirage	6–13	-0.02	19%	17 Jun →
anubis	7–13	0.03	18%	17 Jun →
anubis	11–13	-0.02	22%	15 Jun →
nuke	13–3	0.05	8%	15 Jun →
nuke	13–7	0.03	23%	9 Jun →
anubis	8–13	-0.03	16%	9 Jun →
ancient	13–3	0.02	11%	9 Jun →
vertigo	8–13	0.03	14%	8 Jun →
vertigo	11–13	0.04	13%	8 Jun →
anubis	5–13	-0.04	8%	28 May →
inferno	14–16	0.06	15%	27 May →
anubis	11–13	0.03	12%	22 May →
nuke	7–2	-0.02	0%	22 May →
cache	13–2	0.13	11%	14 May →
ancient	6–13	-0.06	7%	14 May →
nuke	11–7	0.05	9%	14 May →
inferno	9–13	0.00	18%	12 May →
cache	13–10	-0.03	16%	12 May →
nuke	13–8	-0.01	7%	6 May →
cache	13–8	-0.04	17%	6 May →
nuke	13–3	-0.00	9%	6 May →
anubis	13–10	-0.05	14%	6 May →
cache	2–13	-0.06	17%	1 May →
cache	7–13	-0.03	12%	29 Apr →
cache	5–13	-0.06	4%	29 Apr →
cache	7–4	0.05	13%	29 Apr →
inferno	10–13	-0.01	14%	28 Apr →
inferno	13–6	0.02	18%	28 Apr →
inferno	6–13	-0.04	9%	23 Apr →
nuke	9–13	-0.02	19%	23 Apr →
anubis	13–8	0.02	23%	22 Apr →
inferno	5–13	-0.00	10%	22 Apr →
ancient	13–7	0.00	18%	21 Apr →
vertigo	12–10	0.00	13%	20 Apr →
inferno	10–13	0.09	10%	8 Apr →
nuke	13–11	-0.01	9%	6 Apr →
inferno	13–8	0.00	9%	4 Apr →
anubis	9–13	-0.03	14%	4 Apr →