Y00P4 — CS2 Stats

CK76561199231162446[U:1:1270896718]Steam profile ↗✓ No bans

1,093Tracked matches60%Win rate2023Tracked since

1,068Hours in CS4Hrs last 2 wks

CSDB Rating4.0 DevelopingPositional Player

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (71 days ago). Ranks are recorded once per day this page is viewed.

+38Tracked matches · now 1,093

+20.7ppWin rate · 39.3% → 60.0%

Rating over time

38Days played since 2026-05-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim42

Positioning46

Utility22

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWWWLLWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −1.5pp headshot accuracy · −61ms reaction

Win rate up 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

3–2 · 60% win rate
Avg rating -0.04
Avg headshot accuracy 10%
Avg reaction 530ms

Last 10

6–4 · 60% win rate
Avg rating -0.04
Avg headshot accuracy 11%
Avg reaction 527ms

Last 20

10–10 · 50% win rate
Avg rating -0.05
Avg headshot accuracy 12%
Avg reaction 558ms

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 (+2.1 against its own average).

Aim4.2

Utility2.2

Positioning4.6

Opening Duels1.0

Clutch2.2

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 m0NESY 79% 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. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2

Positioning4.6

Utility2.2

Mechanics2.7

Opening Duels2.4

Win Impact8.3

Composite 4.0/10 (Developing), 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-0.04+0.01

first ⅓ avg -0.05 → last ⅓ avg -0.04

Reaction time549ms−39ms

first ⅓ avg 587ms → last ⅓ avg 549ms

Headshot accuracy11.4%−2.8%

first ⅓ avg 14.2% → last ⅓ avg 11.4%

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 · 13–2 · dust2, 18 Jul →

50%Best headshot accuracy · 0–13 · cache, 19 Jul →

391msFastest reaction time · 5–13 · nuke, 3 May →

13–2Biggest win · dust2, 18 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

5–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 64% over 14mirageWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	24	11–13	46%	-0.04
mirage	C	21	8–13	38%	-0.04
anubis	A	14	9–5	64%	-0.03
nuke	C	10	4–6	40%	-0.05
train	C	9	4–5	44%	-0.04
inferno	A	9	5–4	56%	-0.03
ancient	A	5	3–2	60%	-0.04
dust2	A	5	3–2	60%	0.01
overpass	—	2	0–2	0%	-0.07
vertigo	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,723Lifetime kills

0.85K/D

1,646Matches

45.6%Match win rate · Top 50% of tracked players

35.0%Headshot %

0.6%Shot accuracy

2,766MVPs

546Hours (in match)

1,396Bombs planted

262Bombs defused

Most-used weapons

AK-474,586

M4A4 / M4A1-S4,281

AWP2,001

MP91,771

Glock-181,267

P2000 / USP-S1,049

Desert Eagle1,023

MAC-10818

Galil AR617

SSG 08581

Lifetime map wins

1,806nuke

1,468inferno

1,167vertigo

764dust2

505train

87office

45cbble

11italy

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

Faceit stats

Combat

17Matches

41%Win rate

1.11Avg K/D

82.8ADR

34%Headshot %

Clutches & streaks

31%1v1 clutch win

30%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	43%	1.21	13.3
Nuke	5	60%	1.03	17.2
Anubis	3	0%	1.07	16.7
Dust2	2	50%	0.99	16.0

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.

11.7%Headshot accuracy

30.1%Accuracy (enemy spotted)

31.6%Spray accuracy

62.2%Counter-strafing

9.0°Preaim

552msReaction time

46.3%T opening success

33.0%CT opening success

0.23Enemies flashed / flash

5.4%Flash assists

4.38HE damage / grenade

2.21Flashes / 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 11.6904% — below the 15% mark we flag
Aim Training →
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 0.2266 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 33.0055% — 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.

38% win rate across 21 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
anubis	8–13	-0.06	5%	5 Nov →
cache	13–10	-0.06	9%	5 Nov →
anubis	13–6	-0.01	10%	3 Nov →
cache	13–8	0.01	11%	3 Nov →
mirage	7–13	-0.06	16%	3 Nov →
train	8–13	-0.04	5%	29 Oct →
mirage	13–4	-0.08	9%	28 Oct →
cache	8–13	-0.06	14%	28 Oct →
mirage	13–4	0.05	12%	28 Oct →
cache	13–11	-0.06	18%	27 Oct →
mirage	13–10	-0.02	25%	27 Oct →
mirage	13–7	-0.07	15%	27 Oct →
mirage	4–13	-0.06	10%	26 Oct →
anubis	2–13	-0.08	16%	19 Oct →
ancient	8–13	-0.10	7%	19 Oct →
nuke	13–11	-0.07	3%	19 Oct →
cache	3–13	-0.04	16%	18 Oct →
nuke	6–13	-0.10	6%	18 Oct →
anubis	13–4	-0.04	9%	18 Oct →
mirage	10–13	0.01	17%	14 Oct →
dust2	13–9	0.03	16%	14 Oct →
nuke	6–13	-0.03	12%	13 Oct →
inferno	13–9	0.05	19%	13 Oct →
nuke	8–13	0.01	11%	8 Oct →
cache	13–9	-0.05	3%	6 Oct →
anubis	13–3	-0.01	13%	6 Oct →
anubis	13–11	-0.05	12%	4 Oct →
nuke	13–10	-0.08	6%	4 Oct →
ancient	13–9	0.00	17%	24 Sept →
vertigo	13–8	-0.06	10%	24 Sept →
inferno	5–9	-0.12	0%	23 Sept →
anubis	13–5	-0.01	17%	16 Sept →
anubis	6–13	-0.04	9%	12 Sept →
train	5–13	-0.08	7%	12 Sept →
dust2	13–9	-0.08	9%	12 Sept →
cache	13–3	0.04	19%	12 Sept →
cache	12–12	-0.02	12%	5 Sept →
dust2	13–16	0.03	15%	5 Sept →
cache	8–13	0.02	26%	27 Aug →
cache	9–13	-0.02	13%	27 Aug →
cache	2–13	-0.11	7%	27 Aug →
train	6–13	-0.03	19%	24 Aug →
nuke	1–13	-0.03	13%	24 Aug →
cache	9–1	-0.02	17%	24 Aug →
inferno	7–9	-0.06	15%	16 Aug →
train	13–9	-0.05	16%	12 Aug →
train	10–13	-0.03	11%	12 Aug →
nuke	12–12	-0.06	11%	12 Aug →
ancient	13–7	-0.05	13%	2 Aug →
train	13–9	-0.02	6%	1 Aug →
anubis	13–9	-0.06	8%	1 Aug →
inferno	13–10	-0.05	10%	1 Aug →
mirage	13–5	-0.01	12%	1 Aug →
mirage	8–13	-0.03	14%	19 Jul →
cache	0–13	-0.08	0%	19 Jul →
cache	0–13	-0.03	50%	19 Jul →
train	8–13	-0.05	13%	19 Jul →
anubis	7–13	-0.02	3%	19 Jul →
cache	11–13	-0.03	12%	19 Jul →
anubis	12–12	0.01	15%	19 Jul →
mirage	7–13	-0.05	6%	19 Jul →
dust2	3–13	-0.04	9%	18 Jul →
dust2	13–2	0.10	26%	18 Jul →
mirage	11–13	-0.07	5%	18 Jul →
inferno	9–3	0.08	9%	18 Jul →
mirage	6–13	-0.00	23%	18 Jul →
cache	13–9	-0.06	8%	1 Jul →
cache	13–11	-0.02	13%	1 Jul →
inferno	6–13	-0.08	17%	10 Jun →
cache	5–13	-0.04	16%	10 Jun →
mirage	5–13	-0.12	7%	10 Jun →
nuke	13–5	-0.04	3%	4 Jun →
inferno	13–11	-0.08	13%	4 Jun →
train	13–8	0.01	18%	4 Jun →
cache	8–13	-0.05	21%	4 Jun →
ancient	13–10	-0.02	15%	26 May →
inferno	13–10	-0.04	19%	19 May →
mirage	11–13	0.01	9%	17 May →
mirage	7–13	-0.04	10%	17 May →
anubis	13–8	-0.01	11%	15 May →
train	13–10	-0.04	5%	14 May →
cache	3–13	-0.13	15%	14 May →
mirage	12–12	-0.08	9%	14 May →
mirage	7–13	-0.06	20%	14 May →
mirage	5–13	-0.07	7%	14 May →
mirage	13–5	-0.04	14%	11 May →
overpass	3–13	-0.05	33%	11 May →
anubis	13–7	-0.05	7%	11 May →
cache	8–13	-0.06	18%	11 May →
cache	13–8	-0.05	16%	10 May →
anubis	13–8	-0.02	14%	6 May →
inferno	11–13	0.03	14%	6 May →
nuke	5–13	-0.10	16%	3 May →
ancient	9–13	-0.06	4%	3 May →
nuke	13–8	-0.03	11%	3 May →
mirage	13–10	-0.06	14%	3 May →
overpass	4–13	-0.09	16%	3 May →
mirage	13–5	-0.04	7%	3 May →
cache	13–6	-0.00	47%	3 May →
cache	13–7	-0.04	13%	3 May →