Unc 🅱️en — CS2 Stats

76561198033451721[U:1:73185993]✓ No bans

410Tracked matches43%Win rate2020Tracked since

2,540Hours in CS9Hrs last 2 wks

CSDB Rating3.9 Learning

Premier CS Rating13,286Blue band · top ~37.5% of ranked players (population est.)

CSDB Leaderboard#15285 of 22472 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	30.1%	41.7%	44.1%	14.0% short
Shot accuracy	17.3%	8.8%	11.4%	above
Kill/death ratio	1.01	0.97	1.03	meets
Match win rate	64.5%	43.8%	45.2%	above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

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Performance scores

Aim56

Positioning52

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY40–54–6Last 10040%Win rateWLWLWLWLLL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim5.6

Aggression5.9

Utility3.2

Positioning5.2

Opening Duels2.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; lower aim profile.

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

Counter-strafing. Only 64% 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

Aim5.6

Positioning5.2

Utility3.2

Mechanics3.0

Opening Duels2.2

Win Impact2.8

Composite 3.9/10 (Learning), 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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time523ms−61ms

first ⅓ avg 584ms → last ⅓ avg 523ms

Headshot accuracy12.7%+3.9%

first ⅓ avg 8.8% → last ⅓ avg 12.7%

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.

Highlights

0.14Best rating — ancient 13–7

13–2Biggest win — cache

5Longest win streak

5–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 58% over 12anubisWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	20	9–11	45%	0.01
inferno	B	15	8–7	53%	0.00
nuke	C	14	5–9	36%	-0.01
anubis	D	13	2–11	15%	-0.03
ancient	A	12	7–5	58%	0.03
dust2	D	11	2–9	18%	-0.03
mirage	B	6	3–3	50%	-0.02
train	—	3	1–2	33%	0.02
vertigo	—	2	1–1	50%	0.01
overpass	—	2	1–1	50%	-0.02
fachwerk	—	1	1–0	100%	0.02
office	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,312Lifetime kills

1.01K/D · Top 50% of Blue band

9,450Matches

64.5%Match win rate · Top 5% of Blue band

30.1%Headshot %

17.3%Shot accuracy · Top 10% of Blue band

5,848MVPs

1,549Hours (in match)

5,963Bombs planted

735Bombs defused

Most-used weapons

AK-4720,253

M4A4 / M4A1-S19,195

AWP10,204

P904,309

P2000 / USP-S3,631

P2503,517

MP72,775

Desert Eagle2,739

Galil AR2,619

Five-SeveN2,363

Lifetime map wins

4,556nuke

4,218dust2

2,312inferno

846cbble

783train

614office

376vertigo

305lake

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

Faceit stats

Combat

121Matches

50%Win rate

0.98Avg K/D

—ADR

29%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWL

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.

12.4%Headshot accuracy

35.3%Accuracy (enemy spotted)

37.3%Spray accuracy

63.6%Counter-strafing

10.2°Preaim

524msReaction time

38.2%T opening success

39.5%CT opening success

0.38Enemies flashed / flash

2.2%Flash assists

11.35HE damage / grenade

2.56Flashes / 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 12.37% — 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 0.3792 — below the 0.5 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 38.2098% — below the 40% mark we flag

Spend your practice time on Anubis

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

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

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Match data via Leetify.

Recent teammates

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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