ULTY — CS2 Stats

FR76561198119610773[U:1:159345045]Steam profile ↗✓ No bans

2,754Tracked matches55%Win rate2020Tracked since

7,323Hours in CS23Hrs last 2 wks

CSDB Rating5.3 DevelopingPassive Rifler

FaceitLevel 10 · 2,326 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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	58.0%	52.0%
Shot accuracy	13.8%	13.7%
Kill/death ratio	1.20	1.08
Match win rate	47.5%	48.8%

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Performance scores

Aim65

Positioning46

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–47–10Last 10043%Win rateWWLWWLLLLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim6.5

Aggression4.1

Utility5.6

Positioning4.6

Opening Duels0.1

Clutch4.0

Strong CT-side opener

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: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 45% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim6.5

Positioning4.6

Utility5.6

Mechanics5.1

Opening Duels1.8

Win Impact6.7

Composite 5.3/10 (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-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time603ms−63ms

first ⅓ avg 666ms → last ⅓ avg 603ms

Headshot accuracy21.0%−0.5%

first ⅓ avg 21.4% → last ⅓ avg 21.0%

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

0.27Best rating — poseidon 9–4

13–1Biggest win — overpass

4Longest win streak

W2Current streak

5–14In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 64% over 14cacheWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
overpass	C	16	6–10	38%	0.01
nuke	A	14	9–5	64%	0.01
dust2	B	13	7–6	54%	0.01
cache	C	11	4–7	36%	-0.03
anubis	A	11	6–5	55%	0.00
train	C	10	4–6	40%	-0.01
inferno	C	8	3–5	38%	-0.00
mirage	—	4	0–4	0%	0.00
vertigo	—	3	0–3	0%	0.01
poseidon	—	3	2–1	67%	0.16
ancient	—	2	0–2	0%	-0.02
sanctum	—	2	0–2	0%	0.03
office	—	2	1–1	50%	0.02
debris	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Lifetime stats

313,538Lifetime kills

1.20K/D · Top 50% of Level 10 players

10,256Matches

47.5%Match win rate

58.0%Headshot % · Top 50% of Level 10 players

13.8%Shot accuracy · Top 50% of Level 10 players

32,753MVPs

6,594Hours (in match)

5,814Bombs planted

5,432Bombs defused

Most-used weapons

AK-47162,420

M4A4 / M4A1-S47,224

AWP17,274

Desert Eagle16,419

P2000 / USP-S12,774

Glock-188,740

MAC-105,312

MP94,957

Galil AR4,134

FAMAS3,803

Lifetime map wins

30,049inferno

24,351dust2

11,217nuke

8,695vertigo

4,532cbble

2,915train

237lake

121office

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

Faceit stats

Combat

3,288Matches

52%Win rate

0.94Avg K/D

73.6ADR

47%Headshot %

Clutches & streaks

40%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	407	52%	1.02	15.3
Dust2	370	51%	0.93	14.3
Inferno	335	63%	0.98	15.0
Nuke	195	50%	0.99	14.8
Overpass	137	53%	0.93	15.3
Train	40	58%	1.02	15.4
Cache	27	48%	0.90	13.9
Ancient	21	33%	0.82	13.7

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.

19.6%Headshot accuracy

34.2%Accuracy (enemy spotted)

38.3%Spray accuracy

73.0%Counter-strafing

10.6°Preaim

584msReaction time

16.4%T opening success

44.6%CT opening success

0.52Enemies flashed / flash

7.1%Flash assists

7.96HE damage / grenade

11.42Flashes / 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 16.4049% — below the 40% mark we flag

Spend your practice time on Cache

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–7	-0.02	19%	29 Aug →
cache	13–2	0.01	30%	28 Aug →
inferno	0–13	-0.02	31%	20 Aug →
dust2	13–3	0.06	18%	19 Aug →
train	13–10	0.00	19%	16 Aug →
train	11–13	-0.08	22%	16 Aug →
cache	7–13	-0.02	21%	14 Aug →
train	6–13	-0.03	8%	12 Aug →
train	3–13	-0.06	21%	12 Aug →
train	3–0	0.06	50%	12 Aug →
nuke	9–13	0.03	17%	11 Aug →
inferno	13–6	0.13	32%	11 Aug →
vertigo	12–12	0.03	23%	3 Aug →
cache	13–6	0.02	13%	30 Jul →
anubis	13–8	-0.02	15%	28 Jul →
cache	17–19	-0.06	15%	27 Jul →
nuke	9–7	-0.07	27%	15 Jul →
cache	5–13	-0.06	27%	14 Jul →
debris	9–4	0.06	24%	11 Jul →
anubis	13–5	0.04	16%	1 Jul →
train	10–13	-0.02	21%	20 Jun →
train	13–9	0.03	29%	20 Jun →
train	8–13	-0.05	13%	19 Jun →
overpass	13–9	-0.06	11%	17 Jun →
anubis	13–7	-0.01	24%	17 Jun →
dust2	3–13	-0.04	39%	17 Jun →
overpass	16–13	0.04	21%	14 Jun →
inferno	13–3	-0.02	18%	14 Jun →
ancient	9–13	-0.01	16%	14 Jun →
anubis	16–14	0.01	11%	13 Jun →
anubis	5–13	-0.04	13%	12 Jun →
cache	13–9	-0.06	17%	12 Jun →
sanctum	8–8	0.11	12%	12 Jun →
overpass	6–9	-0.05	16%	12 Jun →
nuke	5–9	0.00	16%	12 Jun →
poseidon	9–5	0.14	21%	12 Jun →
poseidon	1–9	0.06	67%	9 Jun →
nuke	13–10	0.01	14%	31 May →
inferno	6–13	-0.05	17%	31 May →
anubis	13–6	0.08	21%	31 May →
poseidon	9–4	0.27	26%	31 May →
cache	5–13	-0.09	25%	25 May →
overpass	15–15	0.04	13%	22 May →
nuke	13–6	0.10	20%	22 May →
overpass	2–13	-0.05	25%	22 May →
nuke	13–10	0.10	23%	21 May →
office	11–13	-0.01	23%	13 May →
mirage	15–15	0.01	20%	10 May →
dust2	11–13	-0.01	20%	10 May →
inferno	12–16	-0.05	16%	10 May →
ancient	15–15	-0.03	31%	10 May →
mirage	7–13	-0.04	27%	9 May →
cache	6–13	-0.04	16%	6 May →
cache	11–13	-0.05	24%	5 May →
cache	12–12	0.06	13%	30 Apr →
dust2	13–5	0.05	16%	30 Apr →
overpass	9–13	-0.06	11%	26 Apr →
anubis	11–13	-0.05	17%	19 Apr →
overpass	13–1	0.01	24%	18 Apr →
dust2	13–4	0.03	25%	18 Apr →
dust2	13–3	-0.02	26%	17 Apr →
dust2	10–3	0.02	20%	17 Apr →
dust2	11–13	-0.03	20%	16 Apr →
overpass	13–1	0.01	26%	16 Apr →
inferno	14–16	-0.04	15%	13 Apr →
inferno	13–11	0.01	14%	12 Apr →
mirage	12–12	0.05	16%	12 Apr →
anubis	13–11	0.03	19%	12 Apr →
overpass	12–12	0.05	18%	12 Apr →
nuke	8–13	0.01	24%	12 Apr →
vertigo	8–13	0.05	12%	12 Apr →
vertigo	5–13	-0.05	27%	12 Apr →
mirage	9–13	-0.01	12%	10 Apr →
dust2	13–11	0.01	22%	6 Apr →
nuke	13–2	0.01	16%	3 Apr →
dust2	4–13	-0.05	17%	2 Apr →
overpass	13–9	0.11	13%	31 Mar →
dust2	10–13	-0.04	29%	27 Mar →
overpass	11–13	-0.06	18%	27 Mar →
inferno	11–13	0.05	17%	22 Mar →
overpass	11–13	0.02	31%	22 Mar →
dust2	13–3	0.08	26%	20 Mar →
office	13–6	0.04	10%	19 Mar →
anubis	11–13	0.00	22%	13 Mar →
anubis	13–16	-0.00	17%	8 Mar →
nuke	5–13	-0.06	26%	8 Mar →
anubis	3–13	-0.03	18%	6 Mar →
overpass	10–13	0.04	16%	28 Feb →
overpass	5–13	0.02	20%	27 Feb →
nuke	13–7	0.06	25%	27 Feb →
train	11–13	0.01	30%	27 Feb →
train	13–2	0.09	38%	27 Feb →
nuke	13–6	-0.02	7%	26 Feb →
nuke	13–9	0.07	32%	24 Feb →
overpass	13–6	0.09	37%	18 Feb →
sanctum	7–9	-0.05	22%	18 Feb →
dust2	3–13	0.03	29%	17 Feb →
overpass	15–15	0.03	20%	15 Feb →
nuke	15–15	-0.00	13%	15 Feb →
nuke	13–9	-0.03	26%	13 Feb →