Y.A.N — CS2 Stats

PL76561197995676381[U:1:35410653]Steam profile ↗✓ No bans

1,015Tracked matches33%Win rate2020Tracked since

3,127Hours in CS6Hrs last 2 wks

CSDB Rating1.2 LearningSupport

CSDB Leaderboard#186228 of 232874 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 12 May 2026. Come back after the next session and the change shows above.

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Rating over time

1,556Peak Premier in tracked matches

41Days played since 2026-05-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,067), 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 1 median	Level 2 median	vs Level 2
Headshot rate	26.5%	41.0%	41.3%	14.8% short
Shot accuracy	20.0%	14.2%	12.6%	above
Kill/death ratio	1.37	0.95	0.95	above
Match win rate	76.1%	42.2%	42.5%	above

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim3

Positioning11

Utility62

0–100 skill scores via Leetify.

Recent form

COLD33–63–4Last 10033%Win rateLLLLLLLWLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −0.3pp headshot accuracy · +22ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

0–5 · 0% win rate
Avg rating -0.07
Avg headshot accuracy 7%
Avg reaction 713ms

Last 10

2–8 · 20% win rate
Avg rating -0.08
Avg headshot accuracy 8%
Avg reaction 742ms

Last 20

4–15–1 · 20% win rate
Avg rating -0.08
Avg headshot accuracy 8%
Avg reaction 731ms

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 (+3.8 against its own average).

Aim0.3

Utility6.2

Positioning1.1

Opening Duels0.0

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.

Strengths & areas to improve

Areas to improve

Reaction time. 723ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 42% 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

Aim0.3

Positioning1.1

Utility6.2

Mechanics0.0

Opening Duels0.0

Win Impact0.0

Composite 1.2/10 (Learning), 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-0.06−0.02

first ⅓ avg -0.04 → last ⅓ avg -0.06

Reaction time723ms−81ms

first ⅓ avg 804ms → last ⅓ avg 723ms

Headshot accuracy7.5%−0.0%

first ⅓ avg 7.6% → last ⅓ avg 7.5%

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 · 13–4 · inferno, 5 Jun →

33%Best headshot accuracy · 1–7 · office, 17 May →

484msFastest reaction time · 1–13 · dust2, 14 Jul →

13–1Biggest win · inferno, 15 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L7Current streak

5–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

trainBest map · 57% over 7nukeWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	19	7–12	37%	-0.06
anubis	D	15	3–12	20%	-0.07
dust2	D	14	4–10	29%	-0.04
mirage	D	12	4–8	33%	-0.05
office	D	9	2–7	22%	-0.04
nuke	D	8	1–7	13%	-0.06
train	A	7	4–3	57%	-0.04
cache	A	7	4–3	57%	-0.08
vertigo	—	4	3–1	75%	-0.07
fachwerk	—	2	0–2	0%	-0.09
alpine	—	1	1–0	100%	-0.08
overpass	—	1	0–1	0%	-0.09
ancient	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,780Lifetime kills

1.37K/D · Top 5% of Level 1 players

12,464Matches

76.1%Match win rate · Top 1% of Level 1 players

26.5%Headshot %

20.0%Shot accuracy · Top 10% of Level 1 players

17,454MVPs

1,607Hours (in match)

5,911Bombs planted

1,887Bombs defused

Most-used weapons

M4A4 / M4A1-S16,808

AK-4713,861

P2000 / USP-S7,892

UMP-456,722

Galil AR5,977

MP74,255

MP94,225

Glock-183,908

P903,684

AUG3,491

Lifetime map wins

10,009dust2

6,736inferno

2,980nuke

2,380vertigo

1,582train

1,140office

788lake

737safehouse

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

Faceit stats

Combat

20Matches

20%Win rate

0.32Avg K/D

—ADR

28%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

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.

7.6%Headshot accuracy

25.2%Accuracy (enemy spotted)

27.5%Spray accuracy

42.3%Counter-strafing

13.8°Preaim

723msReaction time

9.3%T opening success

4.0%CT opening success

0.58Enemies flashed / flash

4.7%Flash assists

11.27HE damage / grenade

20.53Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.7743° — above the 12° mark we flag
Aim Training →
Movement Guide
Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.
Counter-strafing 42.2709% — below the 45% mark we flag
Practice Config →
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 7.6238% — below the 15% mark we flag
Aim Training →

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

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