o legado — CS2 Stats

US76561198141873212[U:1:181607484]Steam profile ↗✓ No bans

4,296Tracked matches50%Win rate2020Tracked since

5,549Hours in CS20Hrs last 2 wks

CSDB Rating5.1 DevelopingAggressive Rifler

CSDB Leaderboard#15380 of 16422 tracked

FaceitLevel 8 · 1,818 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Rating over time

1,818Peak Faceit ELO on CSDB

1Days observed since 2026-08-27

Faceit ELO

At peak — 1,818
Next: Level 10 at 2,001 — 183 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim75

Positioning45

Utility41

0–100 skill scores via Leetify.

Recent form

COLD54–39–7Last 10054%Win rateWTWLTLLTLL

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

Player DNA

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

Aim7.5

Aggression7.0

Utility4.1

Positioning4.5

Opening Duels2.2

Clutch3.6

Limited utility dependence

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 ropz 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 581ms 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

Aim7.5

Positioning4.5

Utility4.1

Mechanics5.7

Opening Duels2.2

Win Impact5.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time552ms−49ms

first ⅓ avg 601ms → last ⅓ avg 552ms

Headshot accuracy15.3%+0.3%

first ⅓ avg 15.0% → last ⅓ avg 15.3%

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

0.26Best rating — vertigo 5–0

13–1Biggest win — mirage

10Longest win streak

8–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 90% over 10cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	24	15–9	63%	-0.00
inferno	C	18	8–10	44%	-0.03
dust2	D	15	5–10	33%	-0.02
anubis	A	11	7–4	64%	0.01
nuke	S	10	9–1	90%	0.00
cache	D	8	2–6	25%	-0.05
vertigo	A	7	4–3	57%	0.06
ancient	B	6	3–3	50%	-0.03
train	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Lifetime stats

140,787Lifetime kills

0.74K/D

6,596Matches

48.6%Match win rate · Top 50% of tracked players

46.7%Headshot % · Top 50% of tracked players

12.1%Shot accuracy

15,351MVPs

9,823Hours (in match)

5,961Bombs planted

1,851Bombs defused

Most-used weapons

AK-4763,049

M4A4 / M4A1-S21,681

P2000 / USP-S11,585

AWP10,605

Desert Eagle9,015

Glock-184,653

Galil AR3,359

FAMAS2,229

P2502,127

Knife2,122

Lifetime map wins

11,547inferno

9,269nuke

6,565dust2

4,506vertigo

1,704train

1,287cbble

537office

116lake

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

Faceit stats

Combat

1,893Matches

50%Win rate

0.91Avg K/D

70.1ADR

36%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	249	49%	0.93	13.5
Ancient	159	49%	0.98	14.2
Inferno	92	54%	1.02	13.2
Anubis	82	46%	0.91	14.0
Nuke	78	44%	0.95	15.2
Dust2	52	56%	0.91	13.5
Overpass	34	47%	1.01	14.9
Vertigo	32	34%	0.94	13.0

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.

14.8%Headshot accuracy

40.5%Accuracy (enemy spotted)

41.3%Spray accuracy

75.5%Counter-strafing

9.6°Preaim

581msReaction time

31.5%T opening success

46.1%CT opening success

0.50Enemies flashed / flash

4.3%Flash assists

8.62HE damage / grenade

4.10Flashes / 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 14.7958% — below the 15% 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 31.4751% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–2	0.03	24%	25 Aug →
inferno	12–12	-0.00	22%	25 Aug →
mirage	7–7	0.02	7%	25 Aug →
inferno	10–13	0.03	14%	25 Aug →
dust2	12–12	-0.04	11%	23 Aug →
inferno	4–13	-0.03	21%	23 Aug →
inferno	7–10	-0.10	6%	22 Aug →
dust2	12–12	0.03	23%	19 Aug →
ancient	5–8	-0.03	9%	17 Aug →
nuke	9–13	-0.01	11%	17 Aug →
cache	15–15	-0.01	15%	17 Aug →
mirage	6–13	-0.05	6%	16 Aug →
mirage	13–3	0.02	26%	15 Aug →
cache	13–7	-0.04	22%	15 Aug →
dust2	11–13	0.03	19%	15 Aug →
inferno	13–10	-0.00	17%	15 Aug →
dust2	7–13	-0.03	15%	15 Aug →
cache	1–13	-0.10	14%	14 Aug →
inferno	13–5	0.02	9%	14 Aug →
vertigo	13–11	-0.02	12%	12 Aug →
vertigo	5–2	-0.01	17%	12 Aug →
vertigo	5–0	0.26	22%	12 Aug →
inferno	6–9	-0.09	14%	12 Aug →
inferno	3–9	-0.10	13%	12 Aug →
mirage	13–1	0.08	11%	12 Aug →
inferno	5–7	-0.01	16%	12 Aug →
vertigo	12–12	-0.05	11%	11 Aug →
cache	11–13	-0.03	0%	10 Aug →
inferno	11–13	-0.00	21%	10 Aug →
nuke	13–6	0.03	18%	10 Aug →
inferno	9–4	-0.10	22%	10 Aug →
vertigo	9–2	0.21	22%	10 Aug →
nuke	9–6	-0.04	18%	10 Aug →
inferno	5–9	-0.09	12%	10 Aug →
inferno	13–9	0.03	13%	10 Aug →
mirage	13–11	-0.04	19%	8 Aug →
mirage	12–12	-0.02	10%	3 Aug →
nuke	13–5	-0.01	25%	3 Aug →
dust2	8–13	0.00	22%	3 Aug →
ancient	13–10	-0.00	15%	3 Aug →
vertigo	7–13	-0.03	21%	3 Aug →
nuke	13–9	0.04	23%	1 Aug →
mirage	11–13	-0.01	8%	1 Aug →
dust2	7–13	-0.06	33%	1 Aug →
anubis	8–13	-0.08	12%	1 Aug →
mirage	12–12	0.02	14%	31 Jul →
vertigo	11–13	0.04	29%	31 Jul →
mirage	16–14	0.04	23%	26 Jul →
anubis	13–1	0.13	17%	25 Jul →
mirage	13–9	0.03	13%	25 Jul →
inferno	13–1	0.02	10%	25 Jul →
ancient	13–7	0.01	15%	25 Jul →
mirage	7–13	-0.05	21%	23 Jul →
dust2	4–13	-0.02	17%	22 Jul →
nuke	13–7	-0.00	11%	22 Jul →
dust2	13–6	-0.03	9%	22 Jul →
cache	8–13	-0.08	25%	21 Jul →
ancient	1–13	-0.11	14%	21 Jul →
inferno	13–6	0.02	19%	21 Jul →
mirage	13–7	-0.01	19%	21 Jul →
mirage	13–8	0.04	19%	20 Jul →
dust2	10–13	-0.02	4%	20 Jul →
ancient	5–13	0.04	17%	19 Jul →
mirage	6–13	-0.00	13%	19 Jul →
mirage	16–12	-0.02	11%	19 Jul →
dust2	10–13	-0.07	15%	18 Jul →
anubis	13–4	-0.00	28%	18 Jul →
nuke	13–5	-0.05	8%	15 Jul →
anubis	13–3	-0.00	11%	14 Jul →
mirage	13–11	-0.00	22%	14 Jul →
anubis	13–5	0.02	19%	14 Jul →
dust2	10–13	-0.05	13%	14 Jul →
mirage	9–13	-0.01	19%	12 Jul →
dust2	13–11	-0.02	14%	12 Jul →
mirage	13–6	0.03	11%	12 Jul →
dust2	13–4	-0.02	10%	11 Jul →
nuke	13–8	-0.02	18%	8 Jul →
ancient	13–11	-0.09	12%	7 Jul →
nuke	13–3	0.06	6%	6 Jul →
cache	13–4	0.00	30%	6 Jul →
inferno	13–7	-0.04	28%	6 Jul →
mirage	13–5	-0.02	23%	6 Jul →
mirage	13–8	-0.04	15%	6 Jul →
anubis	10–13	0.01	15%	5 Jul →
cache	3–13	-0.04	15%	5 Jul →
dust2	13–6	0.03	18%	5 Jul →
mirage	13–5	0.01	15%	5 Jul →
inferno	13–6	-0.03	21%	5 Jul →
inferno	6–13	-0.03	19%	5 Jul →
anubis	8–13	0.03	12%	30 Jun →
mirage	7–13	-0.07	13%	30 Jun →
anubis	13–5	0.00	18%	29 Jun →
mirage	7–13	-0.01	16%	29 Jun →
anubis	10–13	-0.00	6%	29 Jun →
mirage	13–8	-0.01	12%	29 Jun →
cache	10–13	-0.10	15%	28 Jun →
nuke	13–11	0.01	11%	28 Jun →
dust2	13–5	-0.00	11%	28 Jun →
anubis	13–7	0.01	10%	28 Jun →
train	13–2	-0.00	12%	23 Jun →