Ugly Ass Kid — CS2 Stats

76561198271406560[U:1:311140832]Steam profile ↗✓ No bans

1,047Tracked matches25%Win rate2020Tracked since

2,517Hours in CS1Hrs last 2 wks

CSDB Rating4.1 DevelopingHybrid Rifler

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim61

Positioning44

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY37–57–6Last 10037%Win rateLLWWLWLWLL

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

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

Aim6.1

Aggression6.7

Utility4.8

Positioning4.4

Opening Duels2.3

Clutch4.8

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.

Your pro match

Plays most like Twistzz 84% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 626ms 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

Aim6.1

Positioning4.4

Utility4.8

Mechanics5.9

Opening Duels2.3

Win Impact0.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time619ms−88ms

first ⅓ avg 707ms → last ⅓ avg 619ms

Headshot accuracy19.6%+4.8%

first ⅓ avg 14.9% → last ⅓ avg 19.6%

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 — mirage 13–6

13–1Biggest win — vertigo

7Longest win streak

L2Current streak

7–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 50% over 12dust2Weakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	31	11–20	35%	-0.00
nuke	D	15	5–10	33%	0.01
inferno	C	14	5–9	36%	-0.01
mirage	B	12	6–6	50%	0.04
dust2	D	11	3–8	27%	0.00
ancient	—	4	1–3	25%	-0.01
anubis	—	4	3–1	75%	0.01
vertigo	—	4	2–2	50%	0.04
overpass	—	3	0–3	0%	0.04
boulder	—	1	0–1	0%	0.06
alpine	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,130Lifetime kills

1.06K/D · Top 50% of tracked players

2,372Matches

43.0%Match win rate

42.4%Headshot %

12.3%Shot accuracy · Top 50% of tracked players

4,313MVPs

890Hours (in match)

1,418Bombs planted

414Bombs defused

Most-used weapons

AK-4713,775

M4A4 / M4A1-S6,861

AWP3,524

P2000 / USP-S2,389

Glock-181,564

Desert Eagle1,443

MP9840

Galil AR781

MAC-10749

AUG700

Lifetime map wins

3,364inferno

2,858nuke

1,518dust2

1,179vertigo

287train

186office

168cbble

36italy

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

Faceit stats

Combat

44Matches

61%Win rate

1.21Avg K/D

79.1ADR

40%Headshot %

Clutches & streaks

44%1v1 clutch win

6%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	67%	1.21	14.6
Nuke	7	57%	1.35	15.3
Inferno	7	57%	1.31	15.1
Vertigo	4	50%	1.01	15.5
Cache	3	67%	1.11	14.7
Anubis	2	100%	1.38	14.0
Dust2	2	50%	1.26	18.5
Ancient	1	0%	0.44	8.0

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.

20.3%Headshot accuracy

34.0%Accuracy (enemy spotted)

35.5%Spray accuracy

76.3%Counter-strafing

10.9°Preaim

626msReaction time

37.1%T opening success

41.3%CT opening success

0.68Enemies flashed / flash

3.5%Flash assists

12.52HE damage / grenade

3.23Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.2275 — below the 4 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 37.0682% — below the 40% mark we flag

Spend your practice time on Dust 2

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	6–13	-0.11	25%	20 Aug →
nuke	8–13	-0.05	11%	7 Aug →
ancient	13–4	-0.04	22%	2 Aug →
anubis	13–11	-0.01	21%	2 Aug →
dust2	10–13	0.02	19%	2 Aug →
inferno	13–10	0.04	14%	2 Aug →
mirage	5–13	-0.00	11%	23 Jul →
nuke	13–4	0.07	19%	23 Jul →
inferno	9–13	-0.02	18%	23 Jul →
dust2	9–13	-0.02	14%	23 Jul →
nuke	10–13	-0.01	25%	22 Jul →
ancient	15–15	0.06	13%	19 Jul →
nuke	6–13	0.04	21%	19 Jul →
cache	2–13	-0.11	43%	18 Jul →
dust2	9–13	0.06	25%	18 Jul →
vertigo	13–1	0.11	16%	18 Jul →
dust2	2–13	-0.02	30%	16 Jul →
ancient	4–13	-0.02	13%	14 Jul →
mirage	6–13	0.01	14%	14 Jul →
inferno	3–13	-0.01	40%	14 Jul →
mirage	13–7	0.01	31%	14 Jul →
dust2	3–13	-0.04	29%	14 Jul →
cache	9–13	0.00	18%	9 Jul →
mirage	12–12	0.13	21%	9 Jul →
boulder	11–13	0.06	24%	9 Jul →
inferno	8–13	-0.06	39%	5 Jul →
mirage	1–13	-0.03	10%	28 Jun →
nuke	3–13	-0.02	11%	28 Jun →
vertigo	10–13	0.04	9%	23 Jun →
nuke	13–4	0.13	20%	23 Jun →
nuke	1–5	-0.05	0%	20 Jun →
cache	5–13	0.04	14%	19 Jun →
anubis	13–16	-0.00	8%	18 Jun →
mirage	13–11	0.07	14%	14 Jun →
inferno	8–13	-0.04	19%	14 Jun →
cache	13–8	0.05	17%	14 Jun →
nuke	9–13	-0.01	14%	7 Jun →
mirage	13–9	-0.05	6%	7 Jun →
inferno	13–8	0.01	16%	5 Jun →
overpass	6–13	0.03	13%	5 Jun →
dust2	13–11	0.02	13%	5 Jun →
nuke	10–13	0.03	23%	3 Jun →
inferno	12–12	-0.08	22%	1 Jun →
nuke	13–3	-0.02	14%	1 Jun →
nuke	10–13	-0.05	18%	31 May →
cache	7–13	-0.03	16%	31 May →
cache	3–13	-0.07	15%	30 May →
inferno	13–5	0.07	15%	29 May →
mirage	13–4	0.09	17%	29 May →
dust2	8–13	-0.02	15%	29 May →
anubis	13–11	0.04	19%	29 May →
anubis	13–7	0.04	25%	27 May →
inferno	14–16	-0.02	17%	26 May →
alpine	13–8	0.02	11%	24 May →
nuke	13–9	0.08	15%	23 May →
mirage	9–13	0.01	12%	22 May →
mirage	13–10	0.01	12%	22 May →
overpass	7–13	-0.03	11%	19 May →
cache	13–6	0.10	15%	19 May →
inferno	13–11	-0.02	11%	18 May →
vertigo	13–7	0.01	15%	18 May →
cache	13–7	0.03	25%	18 May →
cache	13–7	0.05	18%	18 May →
cache	13–11	-0.04	29%	15 May →
cache	13–5	0.03	12%	15 May →
nuke	9–13	0.01	10%	14 May →
cache	12–12	-0.07	9%	14 May →
cache	13–5	-0.00	20%	14 May →
cache	7–13	0.07	13%	12 May →
nuke	12–12	0.00	16%	12 May →
cache	9–13	0.11	15%	12 May →
inferno	4–13	-0.02	23%	11 May →
cache	9–13	0.04	24%	11 May →
dust2	13–9	-0.00	26%	11 May →
cache	13–4	0.02	17%	11 May →
mirage	13–6	0.18	17%	11 May →
overpass	3–13	0.11	19%	8 May →
cache	9–13	-0.05	8%	8 May →
dust2	10–10	-0.06	11%	8 May →
cache	9–13	0.02	19%	8 May →
cache	12–9	-0.01	13%	7 May →
ancient	0–13	-0.05	11%	7 May →
cache	4–13	-0.09	3%	6 May →
cache	2–7	-0.02	14%	6 May →
cache	13–3	0.03	9%	6 May →
inferno	13–1	0.04	27%	6 May →
mirage	8–13	0.02	9%	6 May →
dust2	13–6	0.03	7%	5 May →
inferno	10–13	-0.04	17%	4 May →
inferno	2–13	-0.02	16%	4 May →
cache	7–13	-0.06	13%	3 May →
dust2	3–13	0.03	5%	3 May →
vertigo	6–13	-0.00	9%	2 May →
cache	13–8	0.07	11%	2 May →
cache	9–13	-0.04	19%	2 May →
cache	13–11	0.09	15%	2 May →
cache	6–13	-0.09	10%	2 May →
nuke	13–10	0.02	23%	30 Apr →
cache	7–13	-0.01	16%	30 Apr →
cache	12–12	-0.01	18%	30 Apr →