El Macho — CS2 Stats

BR76561198112390727[U:1:152124999]Steam profile ↗

1,638Tracked matches48%Win rate2020Tracked since

4,344Hours in CS15Hrs last 2 wks

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating25,777Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#1187 of 9347 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning58

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLWLWLWWLTW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.8

Aggression6.2

Utility6.2

Positioning5.8

Opening Duels2.8

Clutch3.4

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 Twistzz 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 52% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 68% 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

Aim7.8

Positioning5.8

Utility6.2

Mechanics4.1

Opening Duels2.8

Win Impact4.4

Composite 6.1/10 (Solid), 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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time470ms−66ms

first ⅓ avg 537ms → last ⅓ avg 470ms

Headshot accuracy23.8%+3.5%

first ⅓ avg 20.4% → last ⅓ avg 23.8%

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

0.18Best rating — overpass 13–4

13–0Biggest win — ancient

7Longest win streak

6–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 86% over 14infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	23	13–10	57%	0.01
cache	B	17	8–9	47%	0.00
anubis	A	15	9–6	60%	0.00
dust2	S	14	12–2	86%	0.01
mirage	C	11	4–7	36%	0.01
inferno	D	10	3–7	30%	0.00
nuke	C	7	3–4	43%	0.01
overpass	—	2	1–1	50%	0.08
office	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

137,230Lifetime kills

1.01K/D

5,909Matches

49.1%Match win rate · Top 50% of tracked players

50.1%Headshot % · Top 50% of tracked players

13.5%Shot accuracy · Top 50% of tracked players

15,845MVPs

3,409Hours (in match)

4,256Bombs planted

1,830Bombs defused

Most-used weapons

AK-4746,913

M4A4 / M4A1-S22,946

AWP13,366

P2000 / USP-S8,755

Desert Eagle7,302

Glock-185,894

P2502,946

SSG 082,909

Galil AR2,537

FAMAS2,467

Lifetime map wins

13,856dust2

9,033inferno

3,078nuke

2,358vertigo

1,918train

831cbble

143office

84lake

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

Faceit stats

Combat

337Matches

54%Win rate

1.06Avg K/D

92.5ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

34%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	15	73%	1.44	17.7
Mirage	13	62%	1.41	19.3
Dust2	9	44%	1.49	17.2
Inferno	8	50%	1.31	16.0
Anubis	4	50%	1.19	18.3
Overpass	3	33%	2.43	23.3
Nuke	3	100%	1.55	19.0
Cache	3	100%	1.29	14.3

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.

22.4%Headshot accuracy

33.6%Accuracy (enemy spotted)

38.1%Spray accuracy

68.5%Counter-strafing

9.3°Preaim

465msReaction time

30.4%T opening success

52.4%CT opening success

0.74Enemies flashed / flash

6.7%Flash assists

8.16HE damage / grenade

10.08Flashes / 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 30.3747% — 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.

30% 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
inferno	10–13	-0.03	30%	28 Aug →
ancient	13–8	0.08	34%	27 Aug →
ancient	3–13	-0.01	27%	22 Aug →
dust2	13–8	0.00	17%	22 Aug →
cache	7–13	0.04	28%	22 Aug →
mirage	13–10	-0.01	19%	19 Aug →
dust2	13–7	0.02	24%	19 Aug →
cache	10–13	-0.03	19%	19 Aug →
mirage	15–15	-0.01	18%	18 Aug →
dust2	13–7	0.00	19%	18 Aug →
dust2	13–7	0.05	29%	18 Aug →
anubis	9–13	-0.04	24%	18 Aug →
cache	10–13	-0.01	14%	18 Aug →
mirage	11–13	0.00	21%	17 Aug →
cache	11–13	-0.02	22%	17 Aug →
ancient	11–13	-0.02	14%	17 Aug →
dust2	0–13	-0.09	0%	17 Aug →
inferno	10–13	0.03	27%	17 Aug →
ancient	15–15	0.05	25%	17 Aug →
anubis	13–3	0.04	38%	17 Aug →
dust2	13–10	-0.04	9%	17 Aug →
cache	2–13	-0.05	31%	16 Aug →
anubis	13–8	0.01	19%	7 Aug →
inferno	13–7	-0.01	24%	7 Aug →
cache	13–10	0.07	22%	5 Aug →
mirage	15–15	-0.01	16%	5 Aug →
ancient	11–13	0.06	26%	31 Jul →
anubis	6–0	-0.01	60%	31 Jul →
cache	13–3	0.06	21%	31 Jul →
ancient	9–13	-0.01	23%	29 Jul →
cache	13–8	-0.04	38%	29 Jul →
dust2	13–6	0.10	32%	29 Jul →
ancient	2–13	-0.06	15%	29 Jul →
ancient	5–13	-0.07	29%	26 Jul →
cache	0–3	-0.17	0%	26 Jul →
ancient	13–0	-0.03	7%	26 Jul →
anubis	13–11	-0.03	22%	26 Jul →
ancient	16–13	0.03	21%	21 Jul →
cache	13–5	0.02	11%	21 Jul →
anubis	13–2	0.13	37%	21 Jul →
ancient	13–0	0.00	0%	21 Jul →
dust2	13–5	-0.02	19%	20 Jul →
mirage	4–13	-0.03	18%	19 Jul →
dust2	13–8	-0.03	17%	19 Jul →
nuke	13–7	0.04	18%	19 Jul →
anubis	13–11	0.09	23%	19 Jul →
inferno	7–13	0.03	18%	19 Jul →
inferno	13–10	0.03	29%	19 Jul →
anubis	8–13	-0.04	29%	18 Jul →
inferno	5–13	-0.02	22%	18 Jul →
dust2	13–10	0.03	21%	17 Jul →
anubis	5–13	-0.03	23%	17 Jul →
nuke	13–8	0.03	34%	17 Jul →
ancient	16–14	0.03	25%	17 Jul →
nuke	8–13	-0.06	22%	17 Jul →
nuke	11–13	0.04	18%	17 Jul →
cache	13–11	0.01	29%	17 Jul →
anubis	16–13	-0.02	21%	11 Jul →
dust2	15–15	0.07	25%	11 Jul →
cache	13–16	-0.00	18%	11 Jul →
inferno	6–13	-0.03	33%	11 Jul →
ancient	13–6	0.09	25%	11 Jul →
dust2	13–4	0.08	31%	11 Jul →
mirage	3–13	-0.07	23%	9 Jul →
ancient	13–4	-0.01	25%	9 Jul →
cache	13–7	0.05	28%	9 Jul →
mirage	13–11	0.10	19%	2 Jul →
dust2	10–4	0.04	27%	2 Jul →
overpass	2–13	-0.02	23%	30 Jun →
cache	5–13	0.05	32%	24 Jun →
cache	13–8	0.04	13%	24 Jun →
anubis	6–13	0.00	23%	23 Jun →
ancient	13–7	0.01	27%	19 Jun →
cache	8–13	-0.06	16%	19 Jun →
anubis	2–13	-0.10	5%	11 Jun →
inferno	6–13	0.02	16%	11 Jun →
ancient	13–4	-0.03	14%	5 Jun →
ancient	13–9	-0.00	14%	4 Jun →
mirage	13–3	0.09	43%	2 Jun →
ancient	13–9	0.01	21%	2 Jun →
nuke	10–13	-0.02	13%	2 Jun →
ancient	11–13	0.03	15%	27 May →
anubis	9–13	0.03	12%	26 May →
inferno	13–11	-0.03	24%	26 May →
anubis	4–0	0.01	0%	23 May →
anubis	13–10	0.00	22%	23 May →
ancient	16–12	0.05	28%	23 May →
mirage	3–13	0.02	15%	23 May →
nuke	13–5	0.01	14%	23 May →
mirage	13–8	0.01	27%	23 May →
ancient	7–13	0.02	26%	23 May →
ancient	13–6	0.02	18%	23 May →
overpass	13–4	0.18	17%	23 May →
inferno	8–8	0.03	28%	15 May →
cache	13–9	0.12	24%	15 May →
office	5–13	0.07	27%	15 May →
nuke	9–13	0.02	29%	15 May →
ancient	7–13	0.00	16%	15 May →
mirage	8–13	0.03	9%	15 May →
dust2	13–7	-0.03	34%	15 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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