Perpetuo — CS2 Stats

PR76561198335003360[U:1:374737632]Steam profile ↗✓ No bans

2,460Tracked matches57%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating12,999Blue band · top ~39% of ranked players (population est.)

CSDB Leaderboard#7348 of 10568 tracked

FaceitLevel 10 · 2,858 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning49

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWWWLWWLLWL

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

Player DNA

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

Aim8.1

Aggression4.7

Utility6.6

Positioning4.9

Opening Duels1.3

Clutch4.0

Strong CT-side openerEffective flashes

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 93% 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

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim8.1

Positioning4.9

Utility6.6

Mechanics7.0

Opening Duels2.2

Win Impact7.2

Composite 6.1/10 (Solid), 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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time566ms+38ms

first ⅓ avg 528ms → last ⅓ avg 566ms

Headshot accuracy20.6%+3.8%

first ⅓ avg 16.8% → 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

0.10Best rating — nuke 13–11

13–0Biggest win — mirage

9Longest win streak

W3Current streak

7–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 67% over 9nukeWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	44	22–22	50%	-0.00
nuke	C	16	6–10	38%	0.01
anubis	A	14	8–6	57%	0.02
ancient	B	13	6–7	46%	0.00
dust2	S	9	6–3	67%	0.02
inferno	—	2	0–2	0%	-0.03
train	—	1	1–0	100%	0.01
overpass	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,659Matches

56%Win rate

1.16Avg K/D

79.0ADR

48%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

18Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1394	55%	1.12	15.3
Dust2	506	56%	1.11	14.9
Anubis	378	55%	1.20	15.4
Ancient	316	55%	1.07	15.3
Nuke	242	59%	1.16	15.4
Vertigo	58	55%	1.19	16.6
Inferno	47	62%	1.11	14.9
Overpass	43	58%	1.24	15.9

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.

20.2%Headshot accuracy

36.5%Accuracy (enemy spotted)

41.0%Spray accuracy

81.5%Counter-strafing

9.1°Preaim

567msReaction time

23.3%T opening success

47.3%CT opening success

0.71Enemies flashed / flash

11.1%Flash assists

8.71HE damage / grenade

10.44Flashes / 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 23.2697% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–8	0.03	19%	22 Aug →
anubis	13–7	0.07	14%	11 Aug →
mirage	13–3	0.00	15%	23 Jul →
nuke	4–13	-0.05	23%	16 Jul →
dust2	13–10	-0.02	18%	15 Jul →
ancient	13–4	0.07	21%	14 Jul →
mirage	4–13	-0.05	27%	14 Jul →
mirage	8–13	0.00	18%	11 Jul →
mirage	13–2	0.07	21%	9 Jul →
mirage	6–13	-0.06	9%	6 Jul →
mirage	13–10	0.04	25%	5 Jul →
mirage	9–13	-0.02	13%	5 Jul →
nuke	5–13	-0.02	25%	4 Jul →
dust2	13–4	-0.01	28%	4 Jul →
dust2	13–8	0.06	22%	2 Jul →
dust2	13–10	0.07	22%	2 Jul →
dust2	11–13	0.04	18%	1 Jul →
mirage	13–9	0.03	30%	27 Jun →
dust2	13–8	0.05	22%	27 Jun →
dust2	13–9	-0.03	15%	27 Jun →
nuke	13–10	0.01	19%	21 Jun →
dust2	8–13	-0.04	21%	19 Jun →
mirage	19–15	0.04	22%	16 Jun →
mirage	13–16	-0.01	17%	8 Jun →
mirage	13–6	0.08	20%	8 Jun →
mirage	13–10	-0.02	12%	8 Jun →
inferno	11–13	-0.01	18%	8 Jun →
mirage	14–16	-0.02	24%	6 Jun →
mirage	14–16	0.00	20%	6 Jun →
nuke	8–13	0.04	27%	4 Jun →
nuke	10–13	0.01	37%	9 May →
mirage	13–0	0.03	15%	25 Apr →
mirage	13–11	0.06	22%	10 Apr →
mirage	11–13	-0.01	13%	25 Mar →
mirage	13–9	-0.01	23%	16 Mar →
dust2	11–13	0.02	18%	11 Mar →
nuke	8–13	0.03	16%	11 Mar →
nuke	8–13	-0.04	16%	10 Mar →
mirage	11–13	0.07	10%	19 Feb →
ancient	1–13	-0.03	12%	31 Jan →
mirage	4–13	-0.07	14%	31 Jan →
nuke	7–13	-0.04	11%	30 Jan →
inferno	3–13	-0.05	21%	30 Jan →
anubis	9–13	-0.05	11%	19 Jan →
mirage	13–2	0.02	10%	17 Jan →
mirage	7–13	-0.01	12%	19 Dec →
mirage	13–11	-0.02	19%	19 Nov →
mirage	13–5	0.10	17%	10 Oct →
mirage	13–7	-0.01	23%	14 Sept →
train	13–11	0.01	23%	9 Sept →
mirage	13–11	-0.03	19%	6 Sept →
mirage	13–10	0.00	19%	30 Aug →
ancient	13–11	0.04	14%	6 Jul →
mirage	13–6	-0.07	23%	29 Jun →
anubis	13–10	0.04	12%	24 Nov →
ancient	9–13	-0.03	20%	5 May →
mirage	13–6	0.03	22%	5 May →
mirage	7–13	-0.05	13%	2 May →
mirage	1–13	-0.10	6%	15 Apr →
mirage	7–13	-0.05	23%	3 Apr →
anubis	13–1	0.08	21%	15 Mar →
nuke	22–18	-0.01	12%	10 Mar →
ancient	9–13	-0.02	13%	10 Mar →
mirage	13–16	-0.01	22%	9 Mar →
ancient	10–13	0.02	20%	9 Mar →
mirage	6–13	-0.05	17%	9 Mar →
mirage	6–13	0.01	18%	9 Mar →
anubis	14–16	-0.02	18%	7 Mar →
mirage	13–11	-0.05	10%	7 Mar →
nuke	10–13	0.01	12%	7 Mar →
ancient	13–3	0.02	31%	6 Mar →
mirage	6–13	-0.01	24%	6 Mar →
mirage	5–13	-0.03	20%	6 Mar →
overpass	2–13	-0.09	14%	5 Mar →
nuke	4–13	0.08	23%	5 Mar →
anubis	9–13	-0.04	13%	5 Mar →
anubis	13–10	0.05	11%	5 Mar →
ancient	5–13	-0.01	18%	5 Mar →
ancient	7–13	0.04	16%	5 Mar →
ancient	13–9	0.07	12%	4 Mar →
mirage	13–8	-0.00	23%	4 Mar →
mirage	13–8	0.01	17%	4 Mar →
nuke	16–13	-0.02	12%	4 Mar →
anubis	13–6	0.03	23%	4 Mar →
mirage	8–13	-0.05	16%	4 Mar →
anubis	13–2	0.09	18%	4 Mar →
anubis	6–13	-0.07	11%	4 Mar →
ancient	3–13	-0.05	15%	4 Mar →
nuke	0–13	-0.12	8%	3 Mar →
anubis	9–13	-0.01	13%	3 Mar →
mirage	13–5	0.04	13%	3 Mar →
ancient	13–7	-0.09	10%	3 Mar →
mirage	5–13	-0.05	21%	3 Mar →
anubis	13–6	0.05	14%	3 Mar →
mirage	11–13	-0.01	23%	2 Mar →
anubis	11–13	0.02	23%	29 Feb →
anubis	13–2	0.07	18%	29 Feb →
ancient	13–10	-0.01	11%	29 Feb →
nuke	13–11	0.10	26%	27 Feb →
nuke	13–8	0.06	17%	27 Feb →