buenas noches — CS2 Stats

76561198858681422[U:1:898415694]Steam profile ↗✓ No bans

4,001Tracked matches50%Win rate2020Tracked since

CSDB Rating7.2 StrongAggressive Rifler

FaceitLevel 10 · 3,448 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning63

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateLLLWLWWWWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.6

Aggression7.2

Utility6.6

Positioning6.3

Opening Duels2.7

Clutch4.0

Sharp aimerStrong 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 b1t 94% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6

Positioning6.3

Utility6.6

Mechanics8.2

Opening Duels2.7

Win Impact5.0

Composite 7.2/10 (Strong), 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 time529ms−2ms

first ⅓ avg 531ms → last ⅓ avg 529ms

Headshot accuracy27.8%+3.1%

first ⅓ avg 24.7% → last ⅓ avg 27.8%

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

0.15Best rating — mirage 13–6

13–1Biggest win — mirage

8Longest win streak

L3Current streak

8–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 82% over 17ancientWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	28	20–8	71%	0.03
ancient	C	18	7–11	39%	0.02
nuke	S	17	14–3	82%	0.01
dust2	A	15	9–6	60%	0.01
cache	C	9	4–5	44%	-0.02
anubis	B	8	4–4	50%	0.01
overpass	—	3	1–2	33%	0.01
inferno	—	1	0–1	0%	0.00
vertigo	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,553Matches

63%Win rate

1.55Avg K/D

96.4ADR

58%Headshot %

Clutches & streaks

40%1v1 clutch win

26%1v2 clutch win

23Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1600	65%	1.57	20.2
Dust2	566	56%	1.50	20.4
Ancient	427	58%	1.48	19.2
Anubis	369	59%	1.49	19.7
Nuke	73	59%	1.18	16.5
Vertigo	58	69%	1.51	18.4
Inferno	44	55%	1.41	18.3
Overpass	25	44%	1.52	18.9

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.

28.3%Headshot accuracy

33.8%Accuracy (enemy spotted)

40.0%Spray accuracy

87.1%Counter-strafing

10.9°Preaim

537msReaction time

32.5%T opening success

49.4%CT opening success

0.75Enemies flashed / flash

7.1%Flash assists

7.65HE damage / grenade

9.47Flashes / 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 32.5125% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	11–13	-0.01	21%	27 Aug →
mirage	4–13	-0.07	24%	27 Aug →
cache	2–9	-0.12	0%	26 Aug →
cache	6–5	-0.04	33%	26 Aug →
ancient	10–13	0.02	25%	26 Aug →
cache	13–5	0.00	43%	25 Aug →
mirage	13–6	0.05	32%	25 Aug →
dust2	13–4	0.09	20%	23 Aug →
mirage	13–1	0.09	43%	23 Aug →
anubis	13–3	0.06	20%	2 Aug →
dust2	10–13	0.04	40%	2 Aug →
mirage	16–13	0.06	36%	1 Aug →
dust2	6–4	0.02	39%	1 Aug →
cache	7–13	0.00	41%	30 Jul →
dust2	13–6	0.08	27%	30 Jul →
nuke	4–13	-0.10	20%	30 Jul →
nuke	13–5	0.02	33%	28 Jul →
cache	10–13	-0.07	24%	28 Jul →
ancient	10–13	-0.08	24%	28 Jul →
mirage	13–10	-0.05	20%	16 Jul →
nuke	13–5	0.03	26%	16 Jul →
nuke	13–11	0.01	24%	15 Jul →
ancient	7–13	0.06	26%	15 Jul →
mirage	16–14	-0.02	23%	15 Jul →
nuke	13–8	0.06	32%	11 Jul →
mirage	7–13	-0.07	27%	11 Jul →
ancient	11–13	-0.02	28%	11 Jul →
cache	9–13	-0.06	26%	10 Jul →
anubis	11–13	-0.01	41%	10 Jul →
mirage	7–13	0.02	25%	9 Jul →
anubis	13–10	0.00	24%	9 Jul →
nuke	13–10	0.03	28%	9 Jul →
ancient	16–14	-0.01	21%	8 Jul →
cache	13–9	0.07	33%	8 Jul →
nuke	13–11	0.04	53%	8 Jul →
mirage	10–13	-0.01	31%	8 Jul →
anubis	13–9	0.06	22%	8 Jul →
overpass	8–13	0.00	25%	27 Jun →
ancient	9–13	-0.01	17%	27 Jun →
mirage	13–9	0.04	27%	26 Jun →
mirage	13–3	0.12	19%	26 Jun →
mirage	13–6	0.00	21%	22 Jun →
mirage	13–6	0.01	33%	18 Jun →
mirage	13–3	0.10	58%	18 Jun →
mirage	13–6	0.03	21%	18 Jun →
mirage	13–9	0.03	33%	16 Jun →
mirage	13–8	0.08	29%	16 Jun →
ancient	7–13	0.02	31%	6 Jun →
mirage	13–2	0.15	46%	6 Jun →
cache	8–13	0.03	34%	6 Jun →
overpass	13–8	-0.00	21%	4 Jun →
nuke	13–6	0.03	33%	4 Jun →
inferno	0–8	0.00	0%	4 Jun →
dust2	13–5	0.05	26%	29 May →
mirage	4–13	-0.02	29%	29 May →
nuke	2–13	-0.04	31%	29 May →
dust2	13–2	0.00	23%	28 May →
nuke	13–9	0.03	13%	27 May →
mirage	13–6	-0.03	30%	24 May →
dust2	13–5	0.01	21%	24 May →
ancient	13–10	0.00	24%	24 May →
dust2	13–4	0.04	20%	22 May →
ancient	10–13	-0.04	13%	22 May →
mirage	13–8	0.06	21%	22 May →
ancient	6–13	-0.00	29%	21 May →
mirage	8–13	-0.02	9%	21 May →
nuke	13–2	0.04	31%	21 May →
vertigo	13–3	0.09	33%	21 May →
cache	13–11	-0.03	9%	21 May →
mirage	13–6	0.15	30%	21 May →
ancient	13–1	0.12	30%	17 May →
dust2	3–13	-0.09	23%	17 May →
nuke	5–13	-0.03	21%	15 May →
dust2	3–13	-0.04	24%	15 May →
anubis	9–13	0.00	31%	13 May →
mirage	13–2	0.06	20%	13 May →
ancient	13–7	0.02	32%	13 May →
dust2	13–8	-0.01	13%	12 May →
mirage	13–1	0.03	20%	12 May →
ancient	7–13	0.05	22%	10 May →
nuke	13–5	0.02	28%	10 May →
mirage	7–13	-0.04	24%	10 May →
nuke	13–6	0.04	20%	9 May →
anubis	9–14	-0.00	17%	9 May →
dust2	9–13	-0.01	25%	9 May →
mirage	8–13	-0.03	26%	9 May →
ancient	13–4	0.15	36%	9 May →
nuke	13–6	0.01	25%	8 May →
ancient	14–16	0.01	20%	8 May →
dust2	16–14	0.00	35%	8 May →
anubis	13–4	0.03	17%	4 May →
ancient	13–7	0.06	32%	4 May →
mirage	13–10	0.01	22%	4 May →
dust2	9–13	0.03	27%	4 May →
anubis	9–13	-0.06	18%	4 May →
nuke	13–10	-0.01	17%	2 May →
ancient	13–9	-0.06	30%	2 May →
nuke	13–7	0.07	46%	2 May →
dust2	10–13	-0.04	22%	2 May →
overpass	11–13	0.04	17%	2 May →