URUSKAN⭕⃤ — CS2 Stats

76561198847137683[U:1:886871955]

623Tracked matches53%Win rate2020Tracked since

2,916Hours in CS20Hrs last 2 wks

CSDB Rating5.9 SolidPassive Rifler

Premier CS Rating16,343Purple band · top ~23.1% of ranked players (population est.)

CSDB Leaderboard#14353 of 24338 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median	Level 9 median	vs Level 9
Headshot rate	49.6%	47.2%	49.0%	meets
Shot accuracy	11.9%	12.3%	13.1%	1.2% short
Kill/death ratio	1.17	1.07	1.08	above
Match win rate	70.2%	46.3%	46.9%	above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim82

Positioning39

Utility60

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateWLLWLWWWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.2

Aggression2.4

Utility6.0

Positioning3.9

Opening Duels0.3

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.

Your pro match

Plays most like NiKo 85% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

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

Aim8.2

Positioning3.9

Utility6.0

Mechanics7.0

Opening Duels0.8

Win Impact6.1

Composite 5.9/10 (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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time531ms−55ms

first ⅓ avg 586ms → last ⅓ avg 531ms

Headshot accuracy17.9%+2.2%

first ⅓ avg 15.7% → last ⅓ avg 17.9%

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

0.18Best rating — inferno 9–2

13–0Biggest win — mirage

7Longest win streak

8–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 68% over 25ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	25	17–8	68%	0.04
dust2	A	24	14–10	58%	0.02
mirage	B	21	11–10	52%	0.03
anubis	B	13	7–6	54%	0.00
ancient	D	6	2–4	33%	-0.02
nuke	—	4	1–3	25%	-0.04
overpass	—	4	2–2	50%	0.02
cache	—	3	2–1	67%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,944Lifetime kills

1.17K/D · Top 50% of Level 8 players

6,737Matches

70.2%Match win rate · Top 1% of Level 8 players

49.6%Headshot % · Top 50% of Level 8 players

11.9%Shot accuracy

11,935MVPs

2,752Hours (in match)

3,373Bombs planted

1,115Bombs defused

Most-used weapons

AK-4731,246

M4A4 / M4A1-S15,668

Desert Eagle5,845

P2000 / USP-S3,922

Glock-183,310

AWP2,668

MP91,679

MAC-101,600

Galil AR1,567

Knife1,414

Lifetime map wins

9,524inferno

4,234dust2

2,030vertigo

1,178nuke

817train

801office

234cbble

152italy

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

Faceit stats

Combat

432Matches

52%Win rate

1.13Avg K/D

84.2ADR

46%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	40	50%	1.25	17.8
Inferno	38	61%	1.47	19.2
Anubis	20	45%	1.13	18.4
Vertigo	16	69%	1.49	18.5
Mirage	9	67%	1.48	14.3
Nuke	7	57%	1.52	22.0
Ancient	5	20%	0.86	15.2
Train	1	0%	1.07	15.0

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.

18.5%Headshot accuracy

35.6%Accuracy (enemy spotted)

37.4%Spray accuracy

81.4%Counter-strafing

7.8°Preaim

534msReaction time

25.6%T opening success

36.5%CT opening success

0.54Enemies flashed / flash

7.9%Flash assists

8.46HE damage / grenade

9.23Flashes / 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 25.5673% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	0.02	19%	28 Aug →
dust2	11–13	0.05	20%	28 Aug →
nuke	11–13	0.01	15%	27 Aug →
inferno	13–7	0.05	15%	25 Aug →
inferno	11–13	0.03	21%	24 Aug →
inferno	13–3	0.09	23%	22 Aug →
mirage	13–9	0.05	18%	19 Aug →
inferno	16–14	-0.03	24%	18 Aug →
dust2	13–10	0.06	30%	17 Aug →
mirage	13–8	0.08	16%	15 Aug →
anubis	16–14	0.01	17%	15 Aug →
mirage	9–13	0.05	21%	15 Aug →
inferno	11–13	0.04	14%	14 Aug →
anubis	2–13	-0.08	2%	14 Aug →
ancient	9–13	0.00	13%	13 Aug →
anubis	13–7	0.01	11%	13 Aug →
dust2	13–4	0.03	5%	7 Aug →
ancient	8–13	-0.03	13%	7 Aug →
mirage	11–13	-0.03	19%	6 Aug →
dust2	13–7	0.05	28%	6 Aug →
anubis	8–13	-0.06	21%	6 Aug →
cache	6–13	-0.04	4%	6 Aug →
mirage	13–3	0.17	27%	4 Aug →
dust2	13–7	0.06	21%	4 Aug →
anubis	7–13	0.03	17%	4 Aug →
cache	13–4	-0.02	25%	4 Aug →
inferno	6–13	-0.05	23%	3 Aug →
inferno	13–11	-0.04	16%	3 Aug →
mirage	7–13	-0.08	30%	2 Aug →
inferno	13–5	0.09	24%	2 Aug →
dust2	10–13	0.04	12%	31 Jul →
dust2	5–13	-0.04	9%	31 Jul →
inferno	13–7	0.11	19%	31 Jul →
inferno	0–6	-0.02	8%	30 Jul →
dust2	8–13	-0.08	23%	30 Jul →
anubis	13–10	-0.01	15%	27 Jul →
dust2	13–10	0.05	22%	27 Jul →
anubis	13–11	-0.01	20%	27 Jul →
inferno	10–13	0.00	17%	26 Jul →
dust2	16–13	0.07	27%	26 Jul →
mirage	13–10	-0.00	22%	26 Jul →
dust2	13–7	0.08	16%	25 Jul →
inferno	16–14	0.09	12%	25 Jul →
inferno	9–2	0.18	10%	25 Jul →
dust2	9–13	-0.01	21%	24 Jul →
ancient	13–8	-0.00	26%	24 Jul →
mirage	2–13	-0.06	12%	24 Jul →
mirage	13–10	0.00	15%	23 Jul →
cache	13–6	0.06	24%	23 Jul →
nuke	6–13	-0.03	30%	23 Jul →
mirage	13–4	0.07	21%	22 Jul →
nuke	1–13	-0.10	11%	22 Jul →
nuke	13–10	-0.03	10%	22 Jul →
ancient	5–13	-0.01	11%	14 Jul →
mirage	11–1	0.06	3%	14 Jul →
dust2	14–16	0.03	21%	14 Jul →
mirage	13–16	0.02	23%	13 Jul →
inferno	1–6	-0.04	40%	13 Jul →
mirage	9–13	0.04	18%	13 Jul →
dust2	6–13	-0.04	12%	13 Jul →
dust2	13–4	0.01	15%	12 Jul →
dust2	13–6	0.03	17%	12 Jul →
inferno	9–13	-0.08	21%	11 Jul →
mirage	13–9	0.05	21%	11 Jul →
anubis	16–13	0.04	15%	10 Jul →
mirage	9–13	0.03	15%	10 Jul →
dust2	13–11	-0.05	11%	10 Jul →
anubis	13–5	0.09	15%	10 Jul →
dust2	13–11	0.03	14%	10 Jul →
mirage	10–13	-0.05	9%	10 Jul →
mirage	9–13	-0.02	13%	10 Jul →
ancient	3–13	-0.06	6%	9 Jul →
inferno	13–6	0.12	13%	9 Jul →
dust2	11–13	0.01	22%	9 Jul →
inferno	16–13	0.07	15%	3 Jul →
overpass	8–13	0.03	19%	3 Jul →
inferno	7–3	-0.02	29%	3 Jul →
anubis	8–13	-0.07	19%	29 Jun →
inferno	8–13	-0.03	20%	29 Jun →
dust2	11–13	-0.00	22%	29 Jun →
overpass	13–7	-0.03	26%	28 Jun →
inferno	13–10	0.02	17%	26 Jun →
dust2	13–4	0.06	27%	17 Jun →
mirage	13–9	0.01	8%	11 Jun →
mirage	13–0	0.15	19%	11 Jun →
ancient	13–5	0.00	10%	9 Jun →
anubis	13–8	0.04	17%	8 Jun →
dust2	15–15	0.03	13%	8 Jun →
overpass	10–13	0.02	23%	8 Jun →
dust2	16–12	0.04	14%	3 Jun →
inferno	13–6	0.05	10%	2 Jun →
inferno	13–3	0.17	9%	31 May →
anubis	10–13	0.06	17%	29 May →
mirage	7–13	0.01	8%	29 May →
inferno	13–6	0.07	12%	26 May →
inferno	13–8	0.02	13%	25 May →
anubis	11–13	-0.01	14%	25 May →
overpass	13–8	0.06	17%	25 May →
dust2	13–5	-0.05	17%	13 May →
mirage	13–7	0.03	12%	8 May →