Mr. Perna Esquerda do Saci SKINS — CS2 Stats

BR76561198848389514[U:1:888123786]Steam profile ↗✓ No bans

338Tracked matches31%Win rate2025Tracked since

648Hours in CS14Hrs last 2 wks

CSDB Rating3.7 Learning

WingmanSilver II

Ladder ranks via Leetify

Performance scores

Aim41

Positioning48

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY32–59–9Last 10032%Win rateWLLTWWLTLW

Last 10 vs previous 10: +40pp win rate · -0.03 avg rating

Player DNA

Aim4.1

Aggression8.0

Utility5.1

Positioning4.8

Opening Duels2.5

Clutch0.0

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 b1t 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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. 724ms 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

Aim4.1

Positioning4.8

Utility5.1

Mechanics5.7

Opening Duels2.5

Win Impact0.0

Composite 3.7/10 (Learning), 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 rating-0.01+0.03

first ⅓ avg -0.04 → last ⅓ avg -0.01

Reaction time716ms−60ms

first ⅓ avg 777ms → last ⅓ avg 716ms

Headshot accuracy15.4%−1.6%

first ⅓ avg 16.9% → last ⅓ avg 15.4%

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

0.14Best rating — inferno 9–7

13–1Biggest win — dust2

4Longest win streak

4–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

vertigoBest map · 67% over 6cacheWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	23	6–17	26%	-0.03
mirage	D	19	6–13	32%	-0.04
dust2	C	17	6–11	35%	-0.01
nuke	D	10	3–7	30%	-0.03
cache	D	9	2–7	22%	-0.04
ancient	D	7	2–5	29%	-0.03
vertigo	S	6	4–2	67%	-0.00
anubis	—	3	2–1	67%	0.03
train	—	3	1–2	33%	-0.02
debris	—	2	0–2	0%	-0.13
poseidon	—	1	0–1	0%	-0.18

Across the last 100 tracked matches.

Lifetime stats

18,173Lifetime kills

0.91K/D

1,129Matches

35.3%Match win rate

59.5%Headshot % · Top 10% of tracked players

2.9%Shot accuracy

998MVPs

319Hours (in match)

415Bombs planted

205Bombs defused

Most-used weapons

AK-477,024

M4A4 / M4A1-S1,637

P2000 / USP-S1,354

AWP1,233

Desert Eagle889

FAMAS652

MAG-7515

Glock-18501

P90455

Galil AR360

Lifetime map wins

2,326dust2

1,333inferno

521nuke

214vertigo

165train

58office

27lake

20ar_shoots

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

Faceit stats

Combat

3Matches

0%Win rate

0.38Avg K/D

43.9ADR

55%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	0.37	7.0
Dust2	1	0%	0.38	5.0
Overpass	1	0%	0.40	6.0

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.

14.2%Headshot accuracy

35.7%Accuracy (enemy spotted)

35.1%Spray accuracy

75.4%Counter-strafing

12.0°Preaim

724msReaction time

39.0%T opening success

41.0%CT opening success

0.63Enemies flashed / flash

6.6%Flash assists

6.92HE damage / grenade

12.85Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.1882% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 723.9403ms — above the 700ms mark we flag
Aim Training →
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 38.9663% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–5	0.05	11%	31 Aug →
dust2	9–13	-0.06	10%	31 Aug →
ancient	14–16	-0.07	10%	31 Aug →
inferno	15–15	-0.04	9%	31 Aug →
mirage	13–2	0.01	17%	28 Aug →
inferno	9–7	0.14	19%	28 Aug →
debris	2–9	-0.16	50%	28 Aug →
dust2	12–12	-0.03	21%	28 Aug →
cache	9–13	-0.08	19%	28 Aug →
dust2	13–11	-0.06	15%	27 Aug →
dust2	12–12	0.12	22%	25 Aug →
inferno	4–13	-0.01	15%	25 Aug →
mirage	1–13	-0.08	21%	25 Aug →
ancient	2–13	-0.04	33%	25 Aug →
nuke	9–13	0.07	11%	25 Aug →
inferno	3–13	-0.05	6%	24 Aug →
inferno	7–13	-0.02	11%	19 Aug →
dust2	8–13	0.01	21%	18 Aug →
nuke	6–13	0.03	11%	18 Aug →
dust2	12–12	-0.04	10%	18 Aug →
inferno	6–9	-0.16	7%	17 Aug →
cache	13–7	0.14	15%	17 Aug →
nuke	9–13	-0.05	9%	17 Aug →
inferno	1–13	-0.07	8%	17 Aug →
mirage	13–8	0.02	19%	13 Aug →
dust2	1–13	-0.02	8%	13 Aug →
ancient	5–13	-0.02	7%	13 Aug →
dust2	13–1	0.09	10%	12 Aug →
inferno	2–13	-0.05	20%	11 Aug →
mirage	14–16	0.02	7%	11 Aug →
nuke	7–13	-0.06	15%	10 Aug →
anubis	13–4	0.06	3%	10 Aug →
inferno	13–8	0.00	33%	7 Aug →
dust2	10–13	0.03	19%	7 Aug →
dust2	13–4	0.08	27%	6 Aug →
train	7–13	-0.07	24%	6 Aug →
inferno	13–9	-0.01	25%	6 Aug →
dust2	2–13	-0.08	11%	6 Aug →
mirage	13–10	0.03	16%	6 Aug →
ancient	7–13	-0.09	15%	5 Aug →
vertigo	13–4	-0.04	15%	3 Aug →
cache	5–13	-0.08	20%	3 Aug →
nuke	7–13	-0.02	14%	30 Jul →
cache	11–13	-0.08	26%	30 Jul →
vertigo	13–8	0.07	13%	30 Jul →
inferno	7–13	0.02	15%	30 Jul →
poseidon	7–9	-0.18	17%	30 Jul →
vertigo	9–2	0.05	19%	30 Jul →
nuke	4–9	-0.12	9%	30 Jul →
inferno	9–6	-0.17	100%	30 Jul →
nuke	13–7	0.00	13%	28 Jul →
inferno	5–13	-0.11	0%	28 Jul →
mirage	13–9	-0.03	25%	28 Jul →
inferno	6–9	0.01	11%	28 Jul →
anubis	12–12	0.02	15%	28 Jul →
inferno	5–13	-0.04	7%	27 Jul →
inferno	13–9	-0.04	7%	21 Jul →
vertigo	12–12	-0.02	13%	21 Jul →
cache	12–12	-0.04	19%	21 Jul →
inferno	6–13	-0.05	20%	21 Jul →
mirage	5–13	-0.04	11%	21 Jul →
nuke	13–10	-0.06	22%	21 Jul →
dust2	13–3	0.02	7%	21 Jul →
cache	13–11	-0.01	14%	20 Jul →
ancient	13–10	0.01	16%	15 Jul →
mirage	8–13	-0.12	8%	15 Jul →
dust2	5–13	-0.07	11%	15 Jul →
debris	8–8	-0.10	40%	14 Jul →
nuke	9–7	-0.09	25%	14 Jul →
mirage	9–13	-0.05	10%	14 Jul →
dust2	2–13	-0.07	7%	14 Jul →
nuke	10–13	-0.05	22%	7 Jul →
anubis	13–9	0.01	12%	7 Jul →
vertigo	13–9	0.02	15%	7 Jul →
inferno	7–9	-0.03	14%	7 Jul →
mirage	4–9	0.00	19%	7 Jul →
cache	10–13	-0.07	13%	7 Jul →
inferno	7–13	0.03	19%	6 Jul →
mirage	5–13	-0.06	27%	6 Jul →
mirage	7–13	-0.06	3%	5 Jul →
inferno	11–13	-0.07	31%	5 Jul →
cache	7–13	-0.04	25%	5 Jul →
mirage	9–13	0.00	12%	3 Jul →
inferno	11–13	-0.04	10%	2 Jul →
mirage	8–2	-0.09	0%	2 Jul →
inferno	7–13	-0.04	15%	1 Jul →
train	11–13	0.06	16%	1 Jul →
inferno	13–4	0.01	14%	29 Jun →
mirage	4–13	-0.04	15%	29 Jun →
cache	5–13	-0.07	7%	29 Jun →
dust2	4–13	-0.05	11%	29 Jun →
mirage	7–13	-0.04	17%	23 Jun →
dust2	13–7	-0.04	22%	23 Jun →
ancient	7–13	-0.06	25%	22 Jun →
train	13–4	-0.05	16%	19 Jun →
mirage	12–12	-0.08	15%	19 Jun →
mirage	13–10	-0.03	11%	19 Jun →
vertigo	6–9	-0.07	32%	18 Jun →
mirage	11–13	-0.05	25%	18 Jun →
dust2	13–3	0.02	14%	18 Jun →