mäyrbs — CS2 Stats

FI76561198107409873[U:1:147144145]Steam profile ↗✓ No bans

1,519Tracked matches50%Win rate2020Tracked since

3,478Hours in CS2Hrs last 2 wks

CSDB Rating7.0 StrongSupport

CSDB Leaderboard#10069 of 259941 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 1,519

−6.7ppWin rate · 56.7% → 50.0%

Rating over time

Premier CS Rating: 26,484 -620 27 May – 20 Sept · 14 days played

Faceit ELO: 2,107 +0 29 Aug – 20 Sept · 6 observations

27,922Peak Premier in tracked matches

2,107Highest Faceit ELO seen on CSDB

34Days played since 2026-05-26

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 10 among CSDB-tracked players (n=30,986), 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	46.1%	50.9%
Shot accuracy	10.7%	13.7%
Kill/death ratio	1.13	1.09
Match win rate	48.2%	48.4%

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

Aim83

Positioning59

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLWWLWLLWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −1.2pp headshot accuracy · −92ms reaction

Win rate down 20pp 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

2–3 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 20%
Avg reaction 592ms

Last 10

4–6 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 20%
Avg reaction 592ms

Last 20

10–10 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 637ms

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 (+2.2 against its own average).

Aim8.3

Utility7.1

Positioning5.9

Opening Duels3.1

Clutch3.4

Excellent counter-strafingEffective flashes

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 88% 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

Strengths

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 638ms 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

Positioning5.9

Utility7.1

Mechanics9.8

Opening Duels2.5

Win Impact5.0

Composite 7.0/10 (Strong), 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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time641ms−60ms

first ⅓ avg 701ms → last ⅓ avg 641ms

Headshot accuracy21.8%+2.5%

first ⅓ avg 19.3% → 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

0.14Best match rating · 13–6 · cache, 29 May →

63%Best headshot accuracy · 0–13 · mirage, 21 Jul →

445msFastest reaction time · 5–13 · nuke, 28 Jul →

13–1Biggest win · ancient, 22 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L2Current streak

3–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 100% over 5mirageWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	51	25–26	49%	0.03
mirage	D	13	4–9	31%	-0.00
nuke	C	9	4–5	44%	-0.01
anubis	S	6	5–1	83%	0.01
overpass	A	5	3–2	60%	0.01
ancient	S	5	5–0	100%	-0.02
inferno	—	3	2–1	67%	0.03
vertigo	—	2	0–2	0%	0.01
dust2	—	2	1–1	50%	0.01
office	—	2	1–1	50%	-0.10
fachwerk	—	1	0–1	0%	0.04
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,213Lifetime kills

1.13K/D · Top 50% of Level 10 players

3,957Matches

48.2%Match win rate

46.1%Headshot %

10.7%Shot accuracy

7,713MVPs

1,664Hours (in match)

5,055Bombs planted

776Bombs defused

Most-used weapons

AK-4722,340

M4A4 / M4A1-S12,217

AWP6,786

Desert Eagle4,912

P2000 / USP-S3,172

Glock-182,366

SSG 081,971

MAC-101,839

P2501,739

Knife1,625

Lifetime map wins

5,297inferno

4,964nuke

2,540dust2

2,207train

1,063vertigo

843cbble

460office

146lake

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

Faceit stats

Combat

235Matches

61%Win rate

0.98Avg K/D

73.6ADR

44%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	26	58%	1.18	16.2
Inferno	22	73%	1.02	13.9
Ancient	20	45%	0.85	12.9
Nuke	18	89%	1.05	15.3
Cache	11	55%	0.97	13.6
Anubis	10	80%	0.88	12.4
Dust2	9	67%	0.92	12.7
Train	8	75%	0.75	13.1

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.

21.6%Headshot accuracy

37.6%Accuracy (enemy spotted)

37.2%Spray accuracy

94.3%Counter-strafing

9.6°Preaim

638msReaction time

37.3%T opening success

42.9%CT opening success

0.84Enemies flashed / flash

9.4%Flash assists

11.17HE damage / grenade

6.62Flashes / 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.

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 37.2693% — 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.

31% win rate across 13 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	11–13	0.11	14%	22 Oct →
cache	10–13	0.03	21%	22 Oct →
cache	13–9	0.04	17%	19 Oct →
nuke	13–8	-0.02	31%	19 Oct →
mirage	9–13	-0.01	16%	19 Oct →
overpass	13–7	0.04	18%	19 Oct →
vertigo	8–13	-0.00	12%	4 Oct →
cache	11–13	0.01	32%	4 Oct →
inferno	13–9	0.05	26%	4 Oct →
cache	9–13	0.02	14%	20 Sept →
nuke	13–2	0.04	12%	20 Sept →
cache	2–12	0.03	17%	25 Aug →
anubis	13–4	0.09	29%	30 Jul →
mirage	11–13	-0.01	17%	30 Jul →
mirage	10–13	-0.05	21%	30 Jul →
nuke	6–13	-0.11	25%	29 Jul →
anubis	13–7	-0.04	16%	29 Jul →
cache	13–7	0.02	12%	28 Jul →
anubis	13–5	0.01	33%	28 Jul →
mirage	13–7	0.06	33%	28 Jul →
nuke	5–13	-0.11	9%	28 Jul →
cache	7–13	-0.02	26%	24 Jul →
mirage	5–13	-0.03	33%	21 Jul →
mirage	0–13	-0.04	63%	21 Jul →
ancient	13–4	0.03	11%	21 Jul →
inferno	13–6	0.02	15%	21 Jul →
anubis	13–2	0.00	31%	21 Jul →
mirage	7–13	-0.02	21%	21 Jul →
cache	13–11	-0.01	24%	21 Jul →
ancient	13–9	-0.03	17%	16 Jul →
inferno	9–13	0.01	14%	16 Jul →
cache	13–6	0.13	16%	16 Jul →
fachwerk	9–13	0.04	26%	15 Jul →
nuke	13–10	-0.01	13%	15 Jul →
ancient	13–5	-0.03	17%	14 Jul →
cache	13–4	0.04	20%	14 Jul →
dust2	13–9	-0.01	13%	14 Jul →
mirage	12–16	0.02	17%	14 Jul →
nuke	7–13	-0.02	15%	10 Jul →
cache	13–10	-0.02	21%	10 Jul →
cache	13–8	0.07	9%	10 Jul →
office	9–13	-0.07	24%	9 Jul →
cache	13–8	-0.00	28%	9 Jul →
nuke	11–13	0.07	23%	9 Jul →
vertigo	9–13	0.03	23%	8 Jul →
cache	7–13	0.02	18%	8 Jul →
ancient	13–7	-0.05	24%	5 Jul →
cache	13–5	-0.03	12%	3 Jul →
cache	2–13	-0.05	30%	3 Jul →
cache	5–13	-0.01	31%	2 Jul →
cache	13–10	0.05	27%	2 Jul →
anubis	13–3	0.05	21%	23 Jun →
overpass	13–2	0.10	14%	23 Jun →
cache	12–12	0.08	19%	23 Jun →
nuke	10–13	0.02	24%	22 Jun →
ancient	13–1	0.00	11%	22 Jun →
mirage	13–6	0.01	16%	22 Jun →
office	13–5	-0.14	7%	18 Jun →
cache	13–8	-0.03	25%	18 Jun →
cache	11–13	0.04	22%	18 Jun →
cache	9–13	-0.01	29%	16 Jun →
cache	7–13	-0.01	20%	16 Jun →
cache	11–2	0.08	39%	15 Jun →
cache	5–13	-0.05	10%	13 Jun →
cache	4–13	-0.01	19%	11 Jun →
cache	13–8	0.07	29%	11 Jun →
cache	12–12	0.07	20%	11 Jun →
cache	13–10	0.03	12%	10 Jun →
cache	13–3	0.00	20%	10 Jun →
cache	7–2	0.07	23%	10 Jun →
cache	6–13	0.06	32%	10 Jun →
dust2	8–13	0.03	38%	10 Jun →
cache	8–13	0.05	18%	4 Jun →
cache	13–5	0.08	15%	4 Jun →
cache	13–11	0.02	16%	3 Jun →
cache	1–6	0.01	12%	3 Jun →
cache	7–13	0.05	28%	3 Jun →
cache	5–13	-0.05	7%	30 May →
cache	13–6	0.12	20%	30 May →
cache	13–1	-0.08	17%	30 May →
cache	13–2	0.04	22%	30 May →
overpass	13–6	-0.03	15%	29 May →
nuke	13–6	0.03	15%	29 May →
mirage	13–6	0.02	18%	29 May →
anubis	11–13	-0.07	15%	29 May →
mirage	7–13	-0.07	16%	29 May →
overpass	3–13	-0.07	11%	29 May →
cache	13–6	0.14	19%	29 May →
cache	9–13	0.03	20%	29 May →
cache	13–9	0.08	22%	28 May →
cache	6–13	0.05	25%	28 May →
overpass	9–13	0.02	21%	27 May →
mirage	13–4	-0.00	16%	27 May →
cache	13–7	0.07	19%	27 May →
train	8–13	-0.03	16%	27 May →
cache	6–13	0.08	25%	27 May →
cache	5–13	0.02	17%	27 May →
cache	13–11	-0.00	24%	27 May →
cache	8–13	0.05	23%	26 May →
cache	12–12	0.04	20%	26 May →