PATATAS BRAVAS — CS2 Stats

ES76561198382368767[U:1:422103039]Steam profile ↗✓ No bans

1,052Tracked matches59%Win rate2022Tracked since

4,219Hours in CS5Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim67

Positioning62

Utility67

0–100 skill scores via Leetify.

Recent form

HOT52–43–5Last 10052%Win rateLLWWWWWWWW

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

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

Aim6.7

Aggression8.3

Utility6.7

Positioning6.2

Opening Duels4.2

Clutch3.4

Strong 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 device 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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 56% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim6.7

Positioning6.2

Utility6.7

Mechanics7.1

Opening Duels4.2

Win Impact7.9

Composite 6.5/10 (Solid), 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 rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time618ms−5ms

first ⅓ avg 623ms → last ⅓ avg 618ms

Headshot accuracy17.9%−1.0%

first ⅓ avg 18.9% → last ⅓ avg 17.9%

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 — cache 13–7

13–0Biggest win — inferno

8Longest win streak

L2Current streak

9–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 67% over 6cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	30	19–11	63%	0.02
dust2	C	28	11–17	39%	0.03
ancient	A	14	8–6	57%	0.01
anubis	B	8	4–4	50%	0.03
mirage	S	6	4–2	67%	-0.00
overpass	B	6	3–3	50%	0.03
cache	D	6	2–4	33%	0.08
nuke	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

Lifetime stats

259,589Lifetime kills

1.07K/D · Top 50% of tracked players

13,317Matches

24.2%Match win rate

49.8%Headshot % · Top 50% of tracked players

10.2%Shot accuracy

10,365MVPs

4,281Hours (in match)

2,924Bombs planted

612Bombs defused

Most-used weapons

AK-4749,649

M4A4 / M4A1-S43,713

Desert Eagle41,114

AWP15,107

P2000 / USP-S10,063

MP76,795

Galil AR6,450

SSG 085,094

SG 5534,891

AUG4,819

Lifetime map wins

9,937inferno

4,652office

4,048dust2

3,251italy

1,560vertigo

1,242assault

834militia

787nuke

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

Faceit stats

Combat

204Matches

51%Win rate

1.17Avg K/D

87.2ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	53	58%	1.22	16.7
Ancient	44	45%	1.10	18.5
Dust2	41	46%	1.23	18.2
Anubis	22	59%	1.18	15.6
Mirage	13	54%	1.05	14.8
Overpass	9	56%	1.20	13.9
Cache	8	38%	1.20	18.3
Nuke	7	57%	1.10	16.9

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.

17.9%Headshot accuracy

35.1%Accuracy (enemy spotted)

35.3%Spray accuracy

82.2%Counter-strafing

9.9°Preaim

622msReaction time

37.4%T opening success

55.8%CT opening success

0.69Enemies flashed / flash

9.6%Flash assists

10.66HE damage / grenade

7.86Flashes / 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 37.4303% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–13	0.01	17%	22 Aug →
mirage	9–13	-0.06	15%	15 Aug →
ancient	13–4	-0.06	17%	15 Aug →
anubis	13–8	0.01	19%	15 Aug →
mirage	13–8	-0.02	18%	15 Aug →
inferno	13–0	0.09	19%	15 Aug →
inferno	13–7	-0.06	26%	15 Aug →
mirage	13–10	0.01	21%	20 Jul →
mirage	13–7	0.08	14%	30 Jun →
ancient	16–12	0.04	15%	13 Jun →
inferno	15–15	-0.04	19%	11 Jun →
inferno	13–3	0.06	19%	11 Jun →
anubis	13–8	0.01	12%	5 Jun →
ancient	11–13	-0.04	13%	4 Jun →
overpass	13–7	0.11	14%	3 Jun →
inferno	13–16	-0.04	15%	3 Jun →
ancient	9–13	-0.01	11%	3 Jun →
mirage	13–7	0.04	10%	3 Jun →
inferno	10–13	0.02	14%	1 Jun →
ancient	4–13	0.01	29%	1 Jun →
ancient	10–13	0.01	14%	1 Jun →
ancient	16–13	0.10	18%	1 Jun →
inferno	10–13	-0.02	18%	31 May →
anubis	6–13	-0.03	28%	29 May →
overpass	7–13	-0.03	16%	29 May →
dust2	10–13	0.06	24%	26 May →
overpass	13–10	0.01	15%	26 May →
inferno	13–10	0.06	16%	26 May →
dust2	13–5	0.00	25%	24 May →
anubis	13–10	0.03	30%	22 May →
ancient	10–13	-0.06	13%	22 May →
inferno	22–20	0.00	26%	20 May →
anubis	12–16	-0.03	12%	18 May →
dust2	5–13	-0.06	13%	18 May →
dust2	16–14	0.08	14%	16 May →
inferno	9–13	-0.06	17%	16 May →
inferno	3–13	-0.04	17%	13 May →
anubis	13–6	0.11	18%	13 May →
overpass	6–13	-0.04	19%	12 May →
inferno	13–7	0.00	24%	12 May →
inferno	13–1	0.11	20%	12 May →
ancient	9–13	0.01	9%	12 May →
cache	13–7	0.15	17%	11 May →
inferno	14–16	0.01	9%	11 May →
inferno	6–13	-0.04	31%	10 May →
dust2	3–13	-0.03	7%	9 May →
cache	12–12	0.06	20%	9 May →
dust2	7–13	-0.03	16%	9 May →
dust2	13–11	0.14	24%	6 May →
dust2	13–1	0.02	29%	5 May →
nuke	8–8	0.01	14%	5 May →
anubis	10–13	0.04	13%	5 May →
inferno	13–8	0.03	18%	4 May →
ancient	13–1	-0.00	23%	4 May →
cache	13–7	0.12	18%	4 May →
inferno	13–1	0.05	17%	3 May →
dust2	4–13	0.08	18%	3 May →
dust2	15–15	0.00	17%	3 May →
inferno	13–5	0.06	46%	3 May →
cache	6–13	0.10	29%	2 May →
dust2	13–5	0.05	16%	1 May →
dust2	9–13	0.06	32%	1 May →
cache	9–13	-0.01	30%	1 May →
cache	9–13	0.02	21%	30 Apr →
dust2	3–13	0.02	24%	28 Apr →
inferno	11–13	0.04	7%	23 Apr →
ancient	13–8	0.05	13%	23 Apr →
inferno	13–7	0.04	17%	20 Apr →
inferno	13–10	-0.00	24%	20 Apr →
dust2	13–6	0.09	16%	20 Apr →
inferno	13–7	0.05	22%	19 Apr →
dust2	4–13	-0.02	18%	17 Apr →
nuke	13–11	-0.00	14%	17 Apr →
dust2	11–13	-0.02	20%	17 Apr →
anubis	11–13	0.06	15%	17 Apr →
overpass	13–4	0.05	18%	17 Apr →
dust2	6–13	0.06	14%	15 Apr →
inferno	13–11	0.02	14%	15 Apr →
dust2	15–15	-0.01	15%	14 Apr →
dust2	13–9	0.08	21%	14 Apr →
overpass	9–13	0.09	22%	13 Apr →
dust2	6–13	0.08	17%	13 Apr →
mirage	3–13	-0.07	5%	11 Apr →
inferno	13–11	0.09	17%	11 Apr →
ancient	13–3	0.04	26%	11 Apr →
dust2	13–10	0.10	27%	11 Apr →
dust2	13–8	0.07	14%	11 Apr →
inferno	13–7	0.07	22%	11 Apr →
ancient	13–11	0.01	19%	10 Apr →
inferno	13–11	-0.01	18%	10 Apr →
inferno	13–4	0.06	10%	10 Apr →
dust2	11–13	0.00	25%	10 Apr →
dust2	14–16	0.01	22%	9 Apr →
inferno	13–1	-0.01	34%	7 Apr →
dust2	13–10	0.03	21%	7 Apr →
inferno	14–16	0.05	22%	7 Apr →
dust2	11–13	0.03	12%	6 Apr →
dust2	13–11	0.07	25%	6 Apr →
ancient	13–7	0.08	12%	6 Apr →
dust2	9–13	0.01	26%	6 Apr →