MachoNacho — CS2 Stats

LT76561198360883436[U:1:400617708]Steam profile ↗

359Tracked matches45%Win rate2021Tracked since

905Hours in CS

CSDB Rating3.0 Learning

Premier CS Rating9,578Light Blue band · top ~56.9% of ranked players (population est.)

CSDB Leaderboard#15567 of 21040 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning32

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLLWWWWWLL

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

Player DNA

Aim4.1

Aggression2.0

Utility2.8

Positioning3.2

Opening Duels0.0

Clutch3.2

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 67% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 663ms 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

Positioning3.2

Utility2.8

Mechanics5.0

Opening Duels0.0

Win Impact3.3

Composite 3.0/10 (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-0.03−0.03

first ⅓ avg -0.00 → last ⅓ avg -0.03

Reaction time656ms+15ms

first ⅓ avg 641ms → last ⅓ avg 656ms

Headshot accuracy17.1%+0.4%

first ⅓ avg 16.7% → last ⅓ avg 17.1%

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

0.18Best rating — inferno 13–8

13–2Biggest win — mirage

8Longest win streak

L3Current streak

7–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 68% over 19dust2Weakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	21	8–13	38%	-0.02
inferno	S	19	13–6	68%	-0.01
anubis	A	14	9–5	64%	0.01
ancient	A	14	8–6	57%	-0.02
dust2	D	12	4–8	33%	-0.03
nuke	A	8	5–3	63%	-0.01
overpass	B	6	3–3	50%	-0.03
cache	—	3	2–1	67%	-0.04
office	—	2	0–2	0%	-0.09
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,361Lifetime kills

0.95K/D

2,628Matches

44.8%Match win rate

35.1%Headshot %

13.6%Shot accuracy · Top 50% of tracked players

3,731MVPs

905Hours (in match)

1,377Bombs planted

428Bombs defused

Most-used weapons

AK-477,506

M4A4 / M4A1-S6,204

AWP4,016

SSG 082,147

Desert Eagle2,041

P2000 / USP-S1,846

Glock-181,655

P90906

SG 553804

Knife798

Lifetime map wins

4,087dust2

2,556inferno

1,619office

1,322nuke

844vertigo

266lake

214train

171ar_shoots

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

Faceit stats

Combat

82Matches

45%Win rate

1.02Avg K/D

75.6ADR

50%Headshot %

Clutches & streaks

36%1v1 clutch win

26%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	23	52%	1.05	17.3
Dust2	16	50%	1.01	15.0
Ancient	12	42%	0.74	12.9
Inferno	10	30%	0.96	14.3
Anubis	10	50%	1.25	15.8
Nuke	5	40%	1.36	18.4
Cache	4	50%	0.77	14.5
Overpass	2	0%	1.20	18.5

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.

18.4%Headshot accuracy

30.9%Accuracy (enemy spotted)

37.1%Spray accuracy

72.6%Counter-strafing

13.2°Preaim

663msReaction time

21.2%T opening success

20.9%CT opening success

0.43Enemies flashed / flash

2.0%Flash assists

4.79HE damage / grenade

5.12Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.2256° — above the 12° mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4328 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	0.04	19%	17 Jul →
anubis	0–13	-0.02	21%	4 Jun →
mirage	5–13	-0.06	13%	3 Jun →
inferno	13–7	-0.11	16%	3 Jun →
anubis	13–5	-0.02	14%	3 Jun →
cache	13–9	-0.09	26%	1 Jun →
mirage	13–2	0.05	17%	1 Jun →
ancient	13–3	-0.04	9%	30 May →
nuke	5–13	-0.06	27%	30 May →
mirage	0–13	-0.09	4%	29 May →
dust2	10–13	0.01	28%	29 May →
inferno	8–13	-0.07	9%	29 May →
ancient	11–13	0.00	15%	28 May →
ancient	7–0	-0.03	17%	27 May →
inferno	13–10	0.06	19%	27 May →
inferno	5–13	0.01	16%	26 May →
dust2	13–9	-0.08	14%	26 May →
cache	5–13	-0.06	18%	22 May →
cache	12–3	0.04	17%	22 May →
train	9–13	-0.01	23%	22 Apr →
mirage	13–8	-0.02	17%	21 Apr →
dust2	6–13	-0.07	21%	21 Apr →
mirage	8–13	-0.11	10%	23 Mar →
ancient	13–9	0.02	22%	21 Mar →
dust2	13–5	-0.00	14%	21 Mar →
anubis	13–4	0.04	11%	18 Mar →
office	6–13	-0.14	100%	18 Mar →
office	11–13	-0.04	4%	18 Mar →
overpass	12–12	-0.01	7%	14 Mar →
dust2	1–13	-0.02	0%	13 Mar →
inferno	4–13	-0.10	4%	13 Mar →
overpass	12–16	-0.04	8%	11 Mar →
anubis	13–3	0.01	7%	11 Mar →
anubis	13–9	0.00	17%	11 Mar →
overpass	13–10	-0.02	13%	11 Mar →
mirage	7–13	-0.06	25%	11 Mar →
ancient	4–13	-0.05	13%	11 Mar →
dust2	10–13	-0.02	7%	11 Mar →
dust2	7–13	-0.02	13%	10 Mar →
nuke	13–5	0.02	24%	9 Mar →
inferno	10–13	-0.03	10%	9 Mar →
ancient	10–13	-0.03	19%	8 Mar →
dust2	3–13	-0.08	10%	8 Mar →
mirage	8–13	-0.03	16%	8 Mar →
inferno	13–7	-0.02	11%	7 Mar →
mirage	7–13	-0.02	48%	7 Mar →
ancient	13–9	-0.04	25%	7 Mar →
inferno	13–11	-0.03	12%	7 Mar →
mirage	13–8	0.00	13%	6 Mar →
mirage	9–13	-0.02	20%	6 Mar →
inferno	13–7	-0.00	27%	6 Mar →
mirage	11–13	-0.05	14%	5 Mar →
nuke	13–8	0.00	34%	2 Mar →
inferno	14–13	-0.07	19%	1 Mar →
overpass	13–8	-0.04	26%	1 Mar →
inferno	13–11	-0.07	10%	1 Mar →
ancient	13–7	0.01	19%	1 Mar →
ancient	13–11	-0.00	24%	1 Mar →
mirage	13–4	0.01	10%	1 Mar →
overpass	13–10	-0.08	11%	1 Mar →
mirage	6–13	-0.04	30%	1 Mar →
dust2	5–13	0.03	17%	28 Feb →
anubis	13–9	-0.01	27%	28 Feb →
dust2	13–11	-0.02	23%	28 Feb →
mirage	14–16	-0.02	16%	28 Feb →
mirage	6–13	-0.08	8%	27 Feb →
anubis	8–13	0.06	17%	26 Feb →
anubis	5–13	-0.02	8%	25 Feb →
anubis	13–4	0.09	20%	25 Feb →
mirage	5–13	-0.10	0%	25 Feb →
nuke	13–10	0.01	15%	23 Feb →
ancient	13–10	-0.05	12%	23 Feb →
inferno	13–9	-0.04	20%	23 Feb →
mirage	11–2	0.02	25%	23 Feb →
inferno	9–5	-0.01	24%	23 Feb →
inferno	9–13	-0.02	7%	22 Feb →
inferno	7–13	-0.08	22%	22 Feb →
anubis	13–8	0.08	21%	22 Feb →
inferno	13–8	-0.03	23%	22 Feb →
dust2	9–13	-0.00	15%	22 Feb →
ancient	12–12	-0.02	20%	21 Feb →
inferno	13–4	0.05	18%	21 Feb →
anubis	13–5	0.01	18%	21 Feb →
inferno	9–7	0.11	24%	20 Feb →
ancient	11–13	-0.07	22%	19 Feb →
dust2	13–9	-0.03	16%	19 Feb →
mirage	13–3	-0.02	25%	19 Feb →
inferno	13–8	0.18	14%	19 Feb →
mirage	13–6	0.10	17%	19 Feb →
anubis	9–13	-0.06	6%	19 Feb →
nuke	8–13	-0.05	15%	18 Feb →
anubis	10–13	-0.05	20%	17 Feb →
anubis	13–9	-0.03	12%	16 Feb →
nuke	13–10	0.07	10%	16 Feb →
mirage	13–11	-0.01	18%	15 Feb →
ancient	5–13	-0.03	22%	15 Feb →
ancient	12–2	-0.01	13%	13 Feb →
nuke	13–3	-0.01	24%	13 Feb →
nuke	7–13	-0.03	16%	13 Feb →
overpass	8–13	-0.01	10%	12 Feb →