Peruna — CS2 Stats

76561197980242098[U:1:19976370]Steam profile ↗✓ No bans

2,667Tracked matches39%Win rate2020Tracked since

CSDB Rating3.5 Learning

Premier CS Rating18,801Purple band · top ~13.3% of ranked players (population est.)

CSDB Leaderboard#12977 of 26937 tracked

FaceitLevel 5 · 1,453 ELOTop 67.6% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning34

Utility60

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLWLLWLLWLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.5

Aggression2.1

Utility6.0

Positioning3.4

Opening Duels0.0

Clutch3.4

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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 33% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.5

Positioning3.4

Utility6.0

Mechanics2.8

Opening Duels0.4

Win Impact1.4

Composite 3.5/10 (Learning), 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-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time606ms−20ms

first ⅓ avg 626ms → last ⅓ avg 606ms

Headshot accuracy18.1%+3.3%

first ⅓ avg 14.8% → last ⅓ avg 18.1%

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

0.34Best rating — sanctum 9–0

13–0Biggest win — overpass

5Longest win streak

9–5In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 80% over 10infernoWeakest map · 0% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	19	7–12	37%	-0.01
ancient	B	17	9–8	53%	-0.01
anubis	A	13	8–5	62%	-0.02
mirage	C	10	4–6	40%	-0.02
inferno	D	10	0–10	0%	-0.05
cache	D	10	2–8	20%	-0.00
nuke	S	10	8–2	80%	0.00
vertigo	D	6	1–5	17%	0.00
overpass	—	3	2–1	67%	0.02
poseidon	—	1	0–1	0%	0.04
sanctum	—	1	1–0	100%	0.34

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,031Matches

50%Win rate

1.07Avg K/D

74.3ADR

45%Headshot %

Clutches & streaks

37%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	220	58%	1.11	14.9
Anubis	182	57%	1.11	15.1
Mirage	168	41%	0.95	13.8
Nuke	133	56%	1.14	15.0
Inferno	98	41%	1.02	14.1
Dust2	58	40%	1.03	15.5
Overpass	16	44%	1.02	15.4
Cache	16	25%	0.88	13.9

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.

18.1%Headshot accuracy

33.0%Accuracy (enemy spotted)

33.8%Spray accuracy

62.8%Counter-strafing

11.3°Preaim

606msReaction time

15.4%T opening success

32.8%CT opening success

0.67Enemies flashed / flash

4.5%Flash assists

7.23HE damage / grenade

15.53Flashes / 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 15.4376% — below the 40% mark we flag

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.

0% win rate across 10 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
dust2	8–13	-0.05	23%	27 Aug →
ancient	13–7	-0.01	26%	27 Aug →
anubis	8–13	-0.09	12%	27 Aug →
ancient	14–16	-0.00	19%	27 Aug →
dust2	13–9	0.07	19%	24 Aug →
anubis	2–13	-0.09	22%	24 Aug →
vertigo	2–13	-0.05	6%	21 Aug →
dust2	13–8	0.06	14%	21 Aug →
mirage	6–13	0.04	22%	21 Aug →
ancient	2–13	-0.09	3%	21 Aug →
inferno	2–13	-0.08	20%	21 Aug →
inferno	5–13	-0.01	24%	18 Aug →
cache	15–15	0.04	10%	18 Aug →
cache	7–13	-0.00	24%	14 Aug →
dust2	5–13	-0.06	12%	14 Aug →
mirage	13–9	0.02	14%	14 Aug →
ancient	10–4	0.02	38%	14 Aug →
inferno	10–13	-0.03	17%	13 Aug →
anubis	13–4	0.02	24%	12 Aug →
dust2	8–13	0.04	28%	12 Aug →
mirage	6–13	-0.07	19%	10 Aug →
ancient	15–15	-0.04	16%	9 Aug →
anubis	13–8	-0.01	21%	9 Aug →
anubis	9–13	-0.03	11%	8 Aug →
dust2	13–8	0.03	13%	8 Aug →
cache	7–13	-0.08	26%	8 Aug →
anubis	16–14	0.00	18%	7 Aug →
anubis	13–4	0.08	24%	7 Aug →
mirage	11–13	-0.03	9%	6 Aug →
mirage	13–3	0.06	19%	6 Aug →
mirage	8–13	-0.03	21%	5 Aug →
ancient	13–9	-0.06	12%	4 Aug →
inferno	9–13	-0.07	12%	3 Aug →
vertigo	13–11	0.09	17%	29 Jul →
vertigo	2–13	-0.06	19%	29 Jul →
nuke	6–13	0.00	15%	29 Jul →
vertigo	6–13	0.07	16%	29 Jul →
vertigo	5–13	-0.02	11%	29 Jul →
cache	13–10	0.03	24%	27 Jul →
mirage	16–13	-0.03	21%	27 Jul →
nuke	13–2	0.04	18%	26 Jul →
dust2	14–16	-0.05	16%	25 Jul →
inferno	10–13	-0.08	20%	25 Jul →
ancient	13–9	0.03	17%	13 Jul →
dust2	10–13	0.01	19%	13 Jul →
nuke	16–13	0.03	15%	11 Jul →
cache	9–13	0.04	21%	11 Jul →
dust2	15–15	0.07	9%	11 Jul →
mirage	3–13	-0.07	9%	11 Jul →
inferno	10–13	-0.04	11%	11 Jul →
cache	10–13	0.02	16%	11 Jul →
ancient	16–13	-0.00	8%	11 Jul →
dust2	3–13	-0.06	15%	10 Jul →
cache	13–11	-0.04	19%	9 Jul →
anubis	13–10	-0.07	19%	9 Jul →
ancient	7–13	-0.05	13%	9 Jul →
overpass	8–13	-0.01	14%	5 Jul →
dust2	4–13	-0.00	9%	5 Jul →
nuke	13–8	-0.03	18%	3 Jul →
overpass	9–6	0.07	15%	26 Jun →
poseidon	5–9	0.04	15%	26 Jun →
sanctum	9–0	0.34	10%	26 Jun →
vertigo	3–9	-0.03	15%	26 Jun →
inferno	5–9	-0.01	16%	26 Jun →
overpass	13–0	-0.00	27%	23 Jun →
inferno	3–13	-0.08	18%	23 Jun →
dust2	7–13	-0.08	7%	23 Jun →
nuke	13–11	-0.01	23%	23 Jun →
nuke	13–8	-0.02	10%	22 Jun →
mirage	4–13	-0.08	6%	16 Jun →
ancient	16–14	0.02	13%	16 Jun →
cache	6–13	-0.04	13%	12 Jun →
dust2	3–13	-0.12	9%	9 Jun →
ancient	11–13	-0.03	18%	9 Jun →
dust2	9–13	-0.02	8%	9 Jun →
ancient	10–13	0.02	15%	1 Jun →
inferno	3–13	-0.05	23%	29 May →
inferno	3–13	-0.04	23%	28 May →
anubis	13–11	0.02	19%	25 May →
ancient	6–13	-0.04	11%	25 May →
nuke	13–9	-0.00	25%	25 May →
mirage	16–14	-0.02	19%	23 May →
anubis	3–13	-0.02	7%	22 May →
dust2	13–5	0.03	22%	22 May →
nuke	13–9	0.04	18%	20 May →
ancient	13–11	0.07	14%	15 May →
cache	7–13	-0.03	18%	15 May →
nuke	14–16	0.00	13%	15 May →
dust2	13–10	0.01	16%	13 May →
anubis	15–15	-0.04	14%	13 May →
ancient	13–2	0.02	10%	13 May →
dust2	13–5	-0.01	13%	13 May →
nuke	16–12	-0.02	9%	11 May →
ancient	13–10	0.02	11%	11 May →
anubis	13–11	-0.01	17%	6 May →
dust2	10–13	-0.06	20%	6 May →
dust2	13–9	0.04	9%	4 May →
ancient	10–13	-0.04	8%	4 May →
cache	10–13	0.03	17%	4 May →
anubis	13–10	0.01	18%	26 Apr →