UN1TY — CS2 Stats

76561198233033764[U:1:272768036]Steam profile ↗✓ No bans

4,269Tracked matches50%Win rate2020Tracked since

14,457Hours in CS85Hrs last 2 wks

CSDB Rating7.6 StrongEntry Fragger

Premier CS Rating27,594Top 5% of 29,473 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)

CSDB Leaderboard#935 of 37493 tracked

FaceitLevel 10 · 3,394 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	52.8%	51.9%
Shot accuracy	17.1%	13.7%
Kill/death ratio	0.95	1.08
Match win rate	53.1%	48.7%

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Performance scores

Aim86

Positioning74

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY62–38Last 10062%Win rateWLWWLWLLWL

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.6

Aggression10.0

Utility6.7

Positioning7.4

Opening Duels7.1

Clutch3.2

Sharp aimerStrong 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 s1mple 97% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 69% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6

Positioning7.4

Utility6.7

Mechanics6.5

Opening Duels7.1

Win Impact5.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time510ms−17ms

first ⅓ avg 527ms → last ⅓ avg 510ms

Headshot accuracy20.6%−0.2%

first ⅓ avg 20.8% → last ⅓ avg 20.6%

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

0.15Best rating — overpass 13–1

13–1Biggest win — overpass

10Longest win streak

11–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 74% over 19infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	27	17–10	63%	0.02
anubis	A	19	12–7	63%	0.01
ancient	S	19	14–5	74%	0.02
inferno	C	11	4–7	36%	0.00
dust2	A	7	4–3	57%	0.03
mirage	S	6	4–2	67%	0.00
nuke	B	6	3–3	50%	0.04
overpass	—	3	2–1	67%	0.03
office	—	1	1–0	100%	0.00
poseidon	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

404,136Lifetime kills

0.95K/D

11,073Matches

53.1%Match win rate · Top 25% of Level 10 players

52.8%Headshot % · Top 50% of Level 10 players

17.1%Shot accuracy · Top 25% of Level 10 players

33,159MVPs

32,514Hours (in match)

15,603Bombs planted

4,063Bombs defused

Most-used weapons

AK-47182,040

M4A4 / M4A1-S62,078

AWP37,033

P2000 / USP-S32,036

Desert Eagle22,550

Glock-1811,067

Knife7,184

MP95,477

Galil AR5,375

FAMAS5,103

Lifetime map wins

30,021inferno

12,528dust2

8,366nuke

5,824train

2,868cbble

2,393vertigo

78office

45italy

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

Faceit stats

Combat

6,565Matches

55%Win rate

1.25Avg K/D

83.8ADR

48%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

15Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	893	57%	1.18	16.6
Anubis	656	58%	1.14	16.3
Inferno	423	60%	1.25	16.8
Overpass	256	62%	1.28	16.6
Nuke	202	49%	1.13	16.1
Mirage	187	46%	1.17	16.1
Dust2	142	53%	1.11	15.5
Train	77	48%	1.25	17.1

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.

21.0%Headshot accuracy

38.4%Accuracy (enemy spotted)

41.2%Spray accuracy

79.2%Counter-strafing

9.1°Preaim

504msReaction time

47.5%T opening success

69.0%CT opening success

0.51Enemies flashed / flash

11.5%Flash assists

10.07HE damage / grenade

12.56Flashes / match

Recommended for you

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	16–14	0.06	20%	29 Aug →
cache	11–13	-0.00	27%	29 Aug →
ancient	13–8	0.02	22%	29 Aug →
ancient	13–9	-0.04	32%	27 Aug →
dust2	13–16	0.01	15%	26 Aug →
mirage	13–6	0.01	12%	26 Aug →
inferno	16–19	0.02	18%	23 Aug →
dust2	8–13	-0.01	21%	21 Aug →
cache	13–4	-0.02	20%	17 Aug →
cache	7–13	0.00	18%	12 Aug →
nuke	13–4	0.07	17%	12 Aug →
cache	13–5	0.03	20%	12 Aug →
mirage	13–10	-0.01	21%	12 Aug →
cache	4–13	-0.04	32%	11 Aug →
nuke	9–13	-0.03	16%	11 Aug →
anubis	7–13	-0.02	18%	10 Aug →
cache	9–13	0.04	19%	7 Aug →
nuke	13–5	0.09	19%	5 Aug →
ancient	13–10	-0.03	15%	4 Aug →
cache	13–10	0.03	23%	4 Aug →
cache	13–3	-0.01	13%	4 Aug →
ancient	13–10	0.08	28%	4 Aug →
cache	3–13	0.01	24%	31 Jul →
mirage	8–13	-0.00	16%	30 Jul →
anubis	13–10	0.00	27%	29 Jul →
ancient	11–13	-0.02	14%	27 Jul →
anubis	13–4	-0.03	29%	25 Jul →
inferno	9–13	0.04	19%	24 Jul →
cache	8–13	-0.03	22%	24 Jul →
cache	8–13	0.04	36%	24 Jul →
ancient	13–11	-0.01	14%	24 Jul →
cache	11–13	0.01	15%	24 Jul →
nuke	10–13	0.01	19%	23 Jul →
cache	13–7	-0.05	17%	21 Jul →
dust2	13–6	0.09	40%	21 Jul →
anubis	13–5	0.06	27%	21 Jul →
dust2	13–11	0.00	27%	21 Jul →
nuke	13–4	0.08	21%	21 Jul →
mirage	13–4	0.03	13%	21 Jul →
anubis	11–13	0.02	20%	21 Jul →
dust2	0–13	-0.01	11%	21 Jul →
ancient	7–2	0.07	30%	21 Jul →
cache	13–7	0.03	13%	21 Jul →
cache	2–13	-0.05	8%	19 Jul →
cache	13–9	0.04	12%	19 Jul →
ancient	13–10	0.11	16%	18 Jul →
anubis	10–13	-0.07	17%	18 Jul →
anubis	25–23	-0.01	14%	17 Jul →
cache	8–13	0.03	17%	15 Jul →
ancient	9–13	-0.00	18%	4 Jul →
anubis	13–8	0.04	19%	1 Jul →
anubis	13–6	0.02	24%	1 Jul →
inferno	2–13	-0.09	9%	1 Jul →
inferno	16–19	0.01	28%	17 Jun →
cache	13–6	0.05	36%	9 Jun →
inferno	13–6	0.01	33%	8 Jun →
nuke	5–13	-0.01	33%	8 Jun →
cache	13–7	0.13	24%	26 May →
cache	13–11	0.09	33%	24 May →
cache	13–11	0.01	16%	24 May →
anubis	13–9	0.04	15%	20 May →
ancient	13–5	0.11	30%	16 May →
inferno	13–11	-0.02	23%	15 May →
ancient	13–9	0.02	17%	14 May →
ancient	13–5	0.03	17%	13 May →
inferno	11–13	-0.01	27%	11 May →
cache	13–6	0.06	28%	6 May →
cache	13–10	0.05	31%	4 May →
cache	13–6	0.10	31%	4 May →
cache	13–7	0.03	19%	4 May →
cache	13–8	0.01	23%	29 Apr →
cache	13–5	0.06	24%	29 Apr →
overpass	13–1	0.15	41%	24 Apr →
inferno	16–13	-0.01	22%	21 Apr →
inferno	13–11	0.04	19%	18 Apr →
dust2	13–8	0.10	24%	16 Apr →
inferno	9–13	0.01	29%	15 Apr →
anubis	6–13	-0.09	14%	13 Apr →
anubis	10–13	-0.02	16%	11 Apr →
anubis	13–11	0.10	13%	11 Apr →
anubis	13–7	0.08	15%	1 Apr →
ancient	13–9	0.00	16%	30 Mar →
ancient	4–13	-0.03	23%	28 Mar →
ancient	13–5	0.04	20%	20 Mar →
mirage	9–13	-0.02	22%	20 Mar →
office	13–10	0.00	38%	18 Mar →
overpass	2–13	-0.06	15%	9 Mar →
overpass	13–9	0.00	16%	9 Mar →
ancient	13–10	0.03	27%	8 Mar →
anubis	10–13	-0.03	8%	8 Mar →
anubis	8–13	-0.01	17%	6 Mar →
anubis	16–14	0.01	22%	6 Mar →
ancient	14–16	-0.01	18%	21 Feb →
dust2	13–6	0.05	17%	16 Feb →
poseidon	9–7	0.03	20%	24 Jan →
anubis	13–3	-0.07	12%	21 Jan →
ancient	6–13	0.01	19%	10 Jan →
ancient	19–15	-0.00	8%	6 Jan →
mirage	13–2	-0.00	29%	21 Dec →
inferno	10–13	0.06	18%	9 Dec →