Amorim — CS2 Stats

BR76561198157751358[U:1:197485630]Steam profile ↗✓ No bans

1,309Tracked matches62%Win rate2020Tracked since

CSDB Rating7.3 StrongEntry Fragger

FaceitLevel 10 · 2,328 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning79

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateWWLLWLTLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.6

Aggression10.0

Utility3.5

Positioning7.9

Opening Duels8.7

Clutch4.6

Sharp aimerStrong CT-side openerLimited 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 m0NESY 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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.

CT openings. 81% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 81% on CT to 49% 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

Positioning7.9

Utility3.5

Mechanics6.4

Opening Duels7.4

Win Impact9.0

Composite 7.3/10 (Strong), 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 rating0.06+0.02

first ⅓ avg 0.04 → last ⅓ avg 0.06

Reaction time492ms−1ms

first ⅓ avg 493ms → last ⅓ avg 492ms

Headshot accuracy24.0%+2.7%

first ⅓ avg 21.3% → last ⅓ avg 24.0%

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

0.23Best rating — mirage 13–2

13–2Biggest win — mirage

8Longest win streak

W2Current streak

5–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 68% over 22infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	32	18–14	56%	0.05
dust2	S	22	15–7	68%	0.07
anubis	A	14	9–5	64%	0.04
inferno	D	13	4–9	31%	0.04
ancient	B	8	4–4	50%	0.05
cache	A	5	3–2	60%	0.07
nuke	—	4	2–2	50%	0.01
overpass	—	1	1–0	100%	0.10
vertigo	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

663Matches

58%Win rate

1.70Avg K/D

92.2ADR

33%Headshot %

Clutches & streaks

43%1v1 clutch win

29%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	55	56%	1.52	19.9
Dust2	43	51%	1.65	19.0
Anubis	42	64%	1.61	20.1
Inferno	21	48%	2.11	18.1
Ancient	19	58%	1.58	19.8
Cache	5	60%	1.86	21.0
Overpass	4	100%	1.66	15.8

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.

23.6%Headshot accuracy

35.8%Accuracy (enemy spotted)

33.8%Spray accuracy

78.6%Counter-strafing

7.4°Preaim

493msReaction time

49.0%T opening success

81.0%CT opening success

0.48Enemies flashed / flash

5.6%Flash assists

7.06HE damage / grenade

4.13Flashes / 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.

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 0.481 — below the 0.5 mark we flag
Grenade Lineups →

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.

31% win rate across 13 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	13–6	0.00	30%	3 Aug →
mirage	13–10	0.10	30%	4 Jul →
dust2	2–13	0.00	34%	4 Jul →
mirage	0–13	-0.07	8%	4 Jul →
mirage	13–10	0.11	37%	26 Jun →
mirage	8–13	-0.01	19%	25 Jun →
cache	12–12	0.06	23%	20 Jun →
mirage	6–13	0.06	29%	20 Jun →
inferno	3–13	-0.03	15%	16 Jun →
dust2	13–7	0.03	36%	16 Jun →
mirage	13–7	0.05	17%	15 Jun →
dust2	13–8	0.04	11%	11 Jun →
anubis	7–13	0.02	18%	10 Jun →
mirage	11–13	0.06	17%	10 Jun →
anubis	13–10	0.10	26%	8 Jun →
ancient	13–3	0.03	19%	7 Jun →
inferno	3–13	0.03	26%	7 Jun →
inferno	13–7	0.07	21%	3 Jun →
ancient	3–13	0.01	17%	3 Jun →
mirage	13–7	0.05	12%	3 Jun →
dust2	11–13	0.02	9%	3 Jun →
anubis	11–13	0.04	26%	2 Jun →
mirage	16–13	0.01	24%	2 Jun →
inferno	13–8	0.07	11%	27 May →
dust2	13–10	0.07	28%	27 May →
mirage	13–9	0.19	48%	26 May →
dust2	13–9	0.09	32%	26 May →
mirage	13–2	0.23	33%	25 May →
dust2	13–6	0.06	24%	23 May →
dust2	13–9	0.06	23%	23 May →
ancient	8–13	0.06	18%	22 May →
dust2	13–4	0.17	26%	22 May →
mirage	13–3	0.07	44%	17 May →
mirage	14–16	0.03	17%	17 May →
inferno	10–13	0.05	28%	17 May →
dust2	16–13	0.08	24%	17 May →
dust2	5–13	0.01	27%	16 May →
mirage	9–13	0.00	36%	16 May →
cache	13–5	0.03	33%	15 May →
mirage	9–13	0.02	16%	10 May →
mirage	11–13	0.03	27%	9 May →
ancient	13–5	0.13	24%	4 May →
anubis	16–13	0.02	18%	4 May →
mirage	10–13	-0.02	8%	4 May →
overpass	13–9	0.10	14%	3 May →
inferno	13–10	0.08	15%	3 May →
dust2	9–13	0.05	23%	3 May →
anubis	13–11	0.07	27%	1 May →
mirage	13–9	0.01	28%	1 May →
cache	8–13	0.04	20%	1 May →
mirage	13–7	0.10	15%	30 Apr →
dust2	9–13	0.03	23%	30 Apr →
dust2	13–3	0.15	6%	30 Apr →
mirage	16–14	0.07	17%	30 Apr →
cache	13–7	0.06	23%	29 Apr →
dust2	13–5	0.05	10%	29 Apr →
inferno	14–16	0.02	21%	29 Apr →
dust2	13–2	0.16	50%	29 Apr →
cache	13–7	0.17	26%	28 Apr →
ancient	16–12	0.09	26%	24 Apr →
anubis	11–13	-0.01	19%	24 Apr →
inferno	10–13	0.04	18%	24 Apr →
mirage	10–13	0.08	22%	24 Apr →
mirage	13–2	0.04	16%	23 Apr →
inferno	10–13	0.01	32%	23 Apr →
anubis	13–7	0.03	20%	23 Apr →
mirage	22–19	-0.02	4%	23 Apr →
mirage	13–9	0.09	30%	22 Apr →
nuke	9–13	0.01	8%	22 Apr →
dust2	11–13	-0.02	17%	22 Apr →
dust2	13–7	0.05	22%	21 Apr →
inferno	11–13	0.09	16%	21 Apr →
anubis	13–7	0.01	18%	20 Apr →
mirage	12–1	0.16	50%	20 Apr →
dust2	13–2	0.17	35%	20 Apr →
inferno	14–16	0.04	21%	20 Apr →
dust2	6–13	-0.00	38%	20 Apr →
nuke	13–10	0.04	21%	20 Apr →
mirage	10–13	-0.01	11%	20 Apr →
mirage	16–14	-0.02	9%	18 Apr →
anubis	13–2	0.10	19%	18 Apr →
ancient	11–13	0.05	16%	18 Apr →
mirage	13–2	0.12	23%	18 Apr →
anubis	16–14	0.10	16%	18 Apr →
dust2	13–9	0.06	35%	18 Apr →
mirage	6–13	-0.01	20%	17 Apr →
dust2	13–3	0.13	21%	17 Apr →
ancient	13–11	0.04	7%	16 Apr →
mirage	8–13	-0.09	22%	16 Apr →
ancient	5–13	-0.06	9%	16 Apr →
anubis	13–3	0.03	8%	16 Apr →
anubis	13–2	0.11	15%	15 Apr →
mirage	24–28	0.00	20%	15 Apr →
inferno	8–13	0.03	26%	14 Apr →
mirage	13–7	0.11	18%	13 Apr →
vertigo	16–19	0.01	24%	13 Apr →
anubis	10–13	-0.03	16%	12 Apr →
nuke	13–10	0.05	63%	12 Apr →
nuke	10–13	-0.04	26%	12 Apr →
anubis	10–13	0.05	6%	12 Apr →