𝙼𝚊𝚗𝚒𝚓𝚊𝙺 — CS2 Stats

VA76561198025021464[U:1:64755736]Steam profile ↗✓ No bans

1,480Tracked matches40%Win rate2020Tracked since

3,508Hours in CS8Hrs last 2 wks

CSDB Rating6.3 SolidPositional Player

Premier CS Rating16,286Purple band · top ~23.3% of ranked players (population est.)

CSDB Leaderboard#134981 of 261536 tracked

FaceitLevel 7 · 1,572 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 16,286 +2,135 23 Sept – 10 Nov · 26 days played

Faceit ELO: 1,572 +0 31 Aug – 17 Sept · 3 observations

16,286Peak Premier in tracked matches

1,572Highest Faceit ELO seen on CSDB

40Days played since 2026-08-29

Faceit ELO

At peak — 1,572
Next: Level 9 at 1,751 — 179 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-31
Level 7 first seen 2026-08-31

Premier CS Rating

At peak — 16,286
+1,780 over 30 days · improving
Next: Pink band at 20,000 — 3,714 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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 median	Level 8 median	vs Level 8
Headshot rate	44.7%	45.7%	46.8%	2.1% short
Shot accuracy	9.9%	12.7%	13.0%	3.1% short
Kill/death ratio	1.23	1.05	1.06	above
Match win rate	44.9%	45.7%	46.3%	1.4% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim80

Positioning69

Utility66

0–100 skill scores via Leetify.

Recent form

HOT33–64–3Last 10033%Win rateWLWWWLWLWW

Last 10 vs previous 10: +60pp win rate · +0.02 avg rating · −1.1pp headshot accuracy · +7ms reaction

Win rate up 60pp 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 0.05
Avg headshot accuracy 23%
Avg reaction 566ms

Last 10

7–3 · 70% win rate
Avg rating 0.04
Avg headshot accuracy 22%
Avg reaction 577ms

Last 20

8–12 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 22%
Avg reaction 574ms

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 (+1.6 against its own average).

Aim8.0

Utility6.6

Positioning6.9

Opening Duels3.4

Clutch4.2

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 iM 87% playstyle similarity

Most alike: positioning profile, 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

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 578ms 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

Aim8.0

Positioning6.9

Utility6.6

Mechanics5.9

Opening Duels4.5

Win Impact1.7

Composite 6.3/10 (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 rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time558ms−40ms

first ⅓ avg 598ms → last ⅓ avg 558ms

Headshot accuracy21.7%−0.3%

first ⅓ avg 22.0% → last ⅓ avg 21.7%

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

0.18Best match rating · 8–13 · mirage, 4 Oct →

42%Best headshot accuracy · 4–5 · ancient, 8 Nov →

406msFastest reaction time · 2–13 · vertigo, 22 Oct →

13–2Biggest win · dust2, 20 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak

6–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 42% over 19dust2Weakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	23	7–16	30%	0.02
ancient	C	19	8–11	42%	0.04
dust2	D	15	4–11	27%	0.02
inferno	D	12	4–8	33%	0.04
nuke	C	11	4–7	36%	0.03
cache	D	10	3–7	30%	0.04
anubis	C	8	3–5	38%	0.04
vertigo	—	1	0–1	0%	0.02
office	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,393Lifetime kills

1.23K/D · Top 25% of Level 7 players

3,638Matches

44.9%Match win rate

44.7%Headshot %

9.9%Shot accuracy

10,826MVPs

1,717Hours (in match)

4,370Bombs planted

934Bombs defused

Most-used weapons

AK-4726,809

M4A4 / M4A1-S13,186

AWP9,709

Desert Eagle7,195

P2000 / USP-S5,048

Glock-183,634

Galil AR2,924

P2501,975

FAMAS1,964

MAC-101,426

Lifetime map wins

6,601inferno

6,287dust2

3,598nuke

2,144train

1,465vertigo

1,166cbble

98dust

90aztec

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

Faceit stats

Combat

326Matches

49%Win rate

1.25Avg K/D

94.7ADR

45%Headshot %

Clutches & streaks

41%1v1 clutch win

30%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	42	55%	1.32	18.1
Mirage	40	30%	1.44	20.7
Ancient	35	51%	1.56	18.6
Nuke	19	63%	1.57	20.7
Anubis	15	53%	1.39	22.2
Dust2	12	50%	1.49	23.9
Vertigo	8	50%	2.95	21.6
Overpass	6	67%	1.93	23.5

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.

21.2%Headshot accuracy

40.4%Accuracy (enemy spotted)

39.7%Spray accuracy

76.4%Counter-strafing

10.0°Preaim

578msReaction time

48.1%T opening success

47.8%CT opening success

0.62Enemies flashed / flash

6.6%Flash assists

12.27HE damage / grenade

10.26Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–3	-0.04	21%	13 Nov →
inferno	7–13	0.06	20%	10 Nov →
anubis	13–5	0.12	7%	8 Nov →
ancient	4–5	0.15	42%	8 Nov →
mirage	16–14	-0.05	23%	2 Nov →
cache	4–13	0.03	32%	2 Nov →
inferno	13–4	0.08	22%	2 Nov →
ancient	10–13	-0.03	10%	1 Nov →
cache	16–14	0.08	13%	1 Nov →
nuke	13–10	0.05	28%	31 Oct →
mirage	6–13	-0.02	13%	31 Oct →
nuke	14–16	0.06	24%	30 Oct →
anubis	10–13	-0.00	18%	29 Oct →
mirage	8–13	0.01	23%	24 Oct →
mirage	7–13	0.02	30%	24 Oct →
inferno	9–13	0.03	15%	24 Oct →
cache	11–13	0.04	30%	24 Oct →
vertigo	2–13	0.02	24%	22 Oct →
mirage	1–13	0.01	23%	22 Oct →
cache	13–4	0.08	31%	21 Oct →
dust2	3–13	-0.05	18%	21 Oct →
mirage	7–13	0.04	14%	21 Oct →
nuke	6–13	0.01	19%	20 Oct →
dust2	13–2	0.10	28%	20 Oct →
ancient	2–13	0.05	30%	20 Oct →
cache	13–8	0.06	19%	17 Oct →
mirage	13–10	0.06	20%	16 Oct →
inferno	5–13	0.04	21%	16 Oct →
nuke	13–6	0.12	25%	16 Oct →
nuke	10–13	-0.02	14%	15 Oct →
mirage	13–5	0.06	17%	14 Oct →
ancient	9–13	0.06	16%	14 Oct →
ancient	5–13	0.05	28%	14 Oct →
mirage	6–13	0.06	21%	14 Oct →
ancient	13–3	0.11	16%	13 Oct →
ancient	13–8	0.08	23%	13 Oct →
mirage	1–13	-0.03	10%	13 Oct →
dust2	7–13	-0.02	23%	13 Oct →
nuke	6–13	0.11	15%	11 Oct →
mirage	3–13	0.06	22%	11 Oct →
ancient	15–15	0.17	21%	10 Oct →
cache	9–13	0.14	30%	10 Oct →
ancient	3–13	-0.04	14%	10 Oct →
dust2	2–13	-0.05	17%	9 Oct →
nuke	7–13	0.03	19%	7 Oct →
dust2	6–13	0.00	14%	7 Oct →
mirage	5–13	-0.02	32%	7 Oct →
dust2	8–13	0.10	22%	4 Oct →
ancient	9–13	0.03	17%	4 Oct →
mirage	8–13	0.18	16%	4 Oct →
dust2	9–13	0.15	22%	3 Oct →
inferno	13–7	0.14	16%	3 Oct →
dust2	8–13	0.14	10%	3 Oct →
inferno	7–13	0.03	17%	2 Oct →
ancient	4–13	-0.01	22%	2 Oct →
ancient	14–16	0.04	18%	26 Sept →
anubis	4–13	-0.05	25%	26 Sept →
nuke	6–13	-0.08	14%	25 Sept →
cache	4–13	-0.12	22%	25 Sept →
mirage	13–4	0.03	20%	25 Sept →
dust2	13–6	0.08	14%	25 Sept →
anubis	13–2	0.00	19%	25 Sept →
inferno	15–15	0.02	19%	24 Sept →
nuke	13–6	0.02	19%	24 Sept →
inferno	10–13	0.01	22%	24 Sept →
mirage	13–4	0.04	19%	24 Sept →
ancient	16–14	-0.04	14%	24 Sept →
dust2	4–13	-0.06	19%	23 Sept →
dust2	7–13	0.00	25%	23 Sept →
ancient	13–9	0.07	17%	23 Sept →
dust2	13–11	0.02	24%	23 Sept →
inferno	11–13	0.09	23%	22 Sept →
cache	4–13	0.03	15%	22 Sept →
anubis	7–13	0.01	13%	22 Sept →
anubis	13–2	0.04	20%	17 Sept →
dust2	6–13	-0.03	32%	17 Sept →
mirage	5–13	-0.01	13%	17 Sept →
inferno	3–13	0.00	29%	16 Sept →
anubis	11–13	0.09	18%	15 Sept →
dust2	13–8	0.08	33%	10 Sept →
mirage	13–5	0.10	23%	10 Sept →
cache	11–13	-0.01	17%	10 Sept →
ancient	13–6	0.05	27%	10 Sept →
ancient	13–11	0.04	31%	9 Sept →
cache	8–13	0.07	17%	8 Sept →
nuke	13–7	0.04	16%	8 Sept →
mirage	9–13	-0.01	30%	8 Sept →
mirage	4–13	0.03	39%	6 Sept →
mirage	11–13	-0.02	26%	6 Sept →
ancient	13–8	-0.03	13%	6 Sept →
dust2	7–13	-0.12	9%	6 Sept →
mirage	7–13	-0.01	32%	5 Sept →
mirage	7–13	-0.01	21%	3 Sept →
anubis	9–13	0.07	18%	3 Sept →
nuke	5–13	-0.04	25%	3 Sept →
inferno	13–9	-0.04	24%	3 Sept →
mirage	13–10	-0.04	21%	3 Sept →
office	12–12	-0.03	19%	2 Sept →
ancient	11–13	0.01	15%	2 Sept →
ancient	8–13	0.06	22%	29 Aug →