Sebastian Enrique Alvarez — CS2 Stats

76561199121407198[U:1:1161141470]Steam profile ↗✓ No bans

645Tracked matches77%Win rate2024Tracked since

1,014Hours in CS17Hrs last 2 wks

CSDB Rating7.1 StrongAggressive Rifler

WingmanThe Global Elite

Ladder ranks via Leetify

Performance scores

Aim87

Positioning56

Utility52

0–100 skill scores via Leetify.

Recent form

HOT67–27–6Last 10067%Win rateWLWWLWWWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim8.7

Aggression9.3

Utility5.2

Positioning5.6

Opening Duels4.2

Sharp aimer

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 device 93% playstyle similarity

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

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 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

Reaction time. 575ms 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

Aim8.7

Positioning5.6

Utility5.2

Mechanics7.5

Opening Duels4.2

Win Impact10.0

Composite 7.1/10 (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 rating0.02+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time586ms−23ms

first ⅓ avg 609ms → last ⅓ avg 586ms

Headshot accuracy23.8%+2.6%

first ⅓ avg 21.3% → 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

0.23Best rating — nuke 9–3

13–0Biggest win — mirage

9Longest win streak

10–2In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 100% over 6infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	22	16–6	73%	0.02
mirage	S	21	15–6	71%	-0.00
dust2	A	20	12–8	60%	0.02
anubis	A	11	7–4	64%	-0.00
ancient	S	9	7–2	78%	-0.00
cache	S	6	6–0	100%	0.05
inferno	C	5	2–3	40%	-0.01
vertigo	—	3	1–2	33%	0.01
overpass	—	2	1–1	50%	-0.05
poseidon	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,947Lifetime kills

0.99K/D

1,101Matches

53.3%Match win rate · Top 10% of tracked players

52.8%Headshot % · Top 25% of tracked players

0.5%Shot accuracy

2,734MVPs

658Hours (in match)

693Bombs planted

208Bombs defused

Most-used weapons

AK-478,901

M4A4 / M4A1-S3,825

AWP1,416

P2000 / USP-S1,370

Desert Eagle1,145

Glock-18687

Galil AR560

Knife485

SSG 08472

MP9338

Lifetime map wins

2,001dust2

1,608nuke

470inferno

289vertigo

246train

32lake

28safehouse

3ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.3%Headshot accuracy

36.5%Accuracy (enemy spotted)

41.7%Spray accuracy

83.7%Counter-strafing

8.1°Preaim

575msReaction time

40.8%T opening success

52.8%CT opening success

0.40Enemies flashed / flash

4.8%Flash assists

6.50HE damage / grenade

9.11Flashes / 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 0.3982 — 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.

40% win rate across 5 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
cache	13–9	0.03	17%	27 Aug →
mirage	9–13	-0.01	63%	27 Aug →
nuke	13–6	0.13	32%	26 Aug →
dust2	13–1	-0.01	14%	26 Aug →
mirage	4–13	0.00	33%	26 Aug →
mirage	13–6	0.14	23%	26 Aug →
nuke	13–11	0.01	29%	26 Aug →
inferno	16–12	-0.05	18%	9 Jul →
ancient	2–13	-0.07	29%	5 Jul →
dust2	13–8	0.00	30%	5 Jul →
mirage	10–13	-0.03	13%	14 May →
nuke	13–5	-0.00	20%	14 May →
mirage	13–10	0.00	14%	14 May →
anubis	13–5	0.10	24%	11 May →
inferno	4–13	-0.07	7%	11 May →
ancient	13–16	-0.07	14%	10 May →
mirage	13–0	0.07	21%	10 May →
anubis	13–3	-0.09	23%	10 May →
dust2	13–4	0.07	23%	10 May →
cache	13–7	0.08	39%	7 May →
ancient	13–11	-0.03	32%	7 May →
ancient	13–8	-0.01	15%	7 May →
cache	13–2	0.05	26%	6 May →
cache	13–9	0.05	17%	6 May →
mirage	13–10	-0.00	17%	4 May →
mirage	11–13	-0.04	17%	4 May →
dust2	13–10	0.14	19%	4 May →
cache	13–10	0.04	19%	4 May →
cache	8–3	0.05	44%	4 May →
overpass	13–4	0.06	20%	3 May →
nuke	10–13	-0.02	30%	27 Apr →
dust2	10–13	0.02	25%	27 Apr →
mirage	13–6	-0.02	20%	27 Apr →
anubis	7–13	-0.05	20%	27 Apr →
mirage	13–9	0.02	34%	21 Apr →
nuke	13–11	0.01	29%	21 Apr →
ancient	13–11	0.04	21%	20 Apr →
vertigo	12–12	0.01	22%	8 Apr →
vertigo	8–13	0.04	20%	8 Apr →
vertigo	13–3	-0.02	21%	8 Apr →
dust2	13–3	0.09	38%	7 Apr →
mirage	13–1	-0.01	17%	4 Apr →
mirage	13–8	-0.00	22%	3 Apr →
nuke	9–3	0.23	41%	2 Apr →
dust2	12–12	0.04	28%	2 Apr →
anubis	13–3	-0.06	25%	1 Apr →
anubis	12–12	-0.05	23%	1 Apr →
anubis	13–10	0.03	21%	30 Mar →
dust2	11–13	-0.02	21%	29 Mar →
poseidon	8–8	0.08	33%	20 Mar →
overpass	1–9	-0.16	25%	20 Mar →
inferno	6–9	-0.01	39%	20 Mar →
dust2	6–13	-0.05	26%	20 Mar →
nuke	8–8	0.18	32%	18 Mar →
nuke	9–3	0.19	16%	18 Mar →
nuke	9–7	-0.02	13%	18 Mar →
anubis	13–6	0.12	17%	18 Mar →
dust2	3–13	0.06	8%	18 Mar →
nuke	13–3	0.03	17%	14 Mar →
mirage	13–9	0.01	24%	14 Mar →
anubis	13–2	-0.04	13%	14 Mar →
ancient	2–1	-0.04	50%	14 Mar →
mirage	13–4	-0.07	24%	13 Mar →
nuke	5–13	-0.06	13%	13 Mar →
mirage	13–6	-0.03	23%	13 Mar →
ancient	13–8	0.02	22%	12 Mar →
mirage	1–13	-0.08	26%	12 Mar →
mirage	13–2	0.04	15%	12 Mar →
dust2	13–6	0.01	18%	12 Mar →
mirage	16–14	0.02	22%	11 Mar →
mirage	1–13	-0.08	22%	10 Mar →
dust2	13–4	0.05	22%	10 Mar →
inferno	13–11	0.06	30%	9 Mar →
mirage	13–11	-0.03	28%	9 Mar →
nuke	13–9	-0.03	28%	9 Mar →
inferno	10–13	0.01	15%	8 Mar →
nuke	5–13	-0.06	15%	8 Mar →
nuke	13–7	0.05	19%	7 Mar →
nuke	8–13	-0.01	29%	7 Mar →
anubis	13–10	-0.02	20%	5 Mar →
nuke	13–5	-0.02	15%	5 Mar →
nuke	16–13	-0.05	33%	5 Mar →
dust2	10–13	0.01	20%	5 Mar →
dust2	13–2	0.05	35%	4 Mar →
nuke	13–9	0.04	21%	2 Mar →
anubis	10–13	0.01	17%	2 Mar →
nuke	9–1	-0.11	7%	1 Mar →
ancient	13–3	0.11	19%	1 Mar →
mirage	13–6	0.03	19%	1 Mar →
anubis	12–12	0.01	25%	28 Feb →
dust2	13–11	-0.05	10%	28 Feb →
nuke	13–9	-0.01	13%	28 Feb →
dust2	6–13	0.06	31%	28 Feb →
dust2	13–4	0.05	27%	27 Feb →
ancient	13–3	0.00	9%	27 Feb →
nuke	6–13	-0.07	22%	27 Feb →
nuke	13–9	0.04	21%	27 Feb →
dust2	2–13	-0.01	26%	27 Feb →
dust2	4–0	-0.02	30%	27 Feb →
dust2	13–10	0.01	19%	26 Feb →