Escobar — CS2 Stats

76561198167037663[U:1:206771935]✓ No bans

1,939Tracked matches52%Win rate2020Tracked since

5,038Hours in CS37Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating20,043Pink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#8109 of 18850 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	44.8%	52.8%
Shot accuracy	17.7%	13.7%
Kill/death ratio	1.14	1.08
Match win rate	50.9%	49.2%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82

Positioning66

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY61–36–3Last 10061%Win rateLLLWWLWWLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim8.2

Aggression9.1

Utility4.4

Positioning6.6

Opening Duels4.9

Clutch4.2

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 donk 92% playstyle similarity

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

Where you differ: lower aim profile; 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

Areas to improve

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

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

Aim8.2

Positioning6.6

Utility4.4

Mechanics6.1

Opening Duels4.9

Win Impact5.6

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time504ms−82ms

first ⅓ avg 586ms → last ⅓ avg 504ms

Headshot accuracy16.8%+2.4%

first ⅓ avg 14.4% → last ⅓ avg 16.8%

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

0.16Best rating — nuke 13–3

13–1Biggest win — anubis

8Longest win streak

L3Current streak

10–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 79% over 14cacheWeakest map · 45% over 20

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	28	13–15	46%	0.02
dust2	S	24	17–7	71%	0.02
cache	B	20	9–11	45%	0.03
anubis	S	14	11–3	79%	0.05
mirage	A	5	3–2	60%	0.04
nuke	—	4	3–1	75%	0.07
inferno	—	4	4–0	100%	0.06
vertigo	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Lifetime stats

163,503Lifetime kills

1.14K/D · Top 50% of Level 10 players

5,833Matches

50.9%Match win rate · Top 50% of Level 10 players

44.8%Headshot %

17.7%Shot accuracy · Top 25% of Level 10 players

19,319MVPs

6,240Hours (in match)

5,450Bombs planted

1,828Bombs defused

Most-used weapons

AK-4756,371

M4A4 / M4A1-S29,527

AWP22,414

P2000 / USP-S9,265

AUG6,143

Desert Eagle4,750

Tec-94,394

Glock-184,285

SG 5533,622

P902,418

Lifetime map wins

18,775dust2

6,485inferno

2,445vertigo

1,389nuke

1,281cbble

463train

158lake

50assault

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

Faceit stats

Combat

1,225Matches

52%Win rate

1.17Avg K/D

90.4ADR

38%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	27	59%	1.22	19.4
Dust2	22	55%	1.32	18.8
Anubis	15	53%	1.59	20.8
Mirage	11	55%	1.24	18.4
Nuke	10	50%	1.28	18.4
Inferno	10	70%	1.09	17.0
Cache	6	50%	1.24	18.7
Overpass	4	50%	2.10	24.5

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.

17.8%Headshot accuracy

38.7%Accuracy (enemy spotted)

38.5%Spray accuracy

77.2%Counter-strafing

9.2°Preaim

499msReaction time

45.7%T opening success

53.6%CT opening success

0.53Enemies flashed / flash

8.6%Flash assists

9.78HE damage / grenade

3.75Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.752 — below the 4 mark we flag
Grenade Lineups →

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.

45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	-0.02	12%	27 Aug →
ancient	10–13	-0.01	24%	27 Aug →
ancient	3–13	-0.10	13%	27 Aug →
dust2	13–11	0.06	22%	27 Aug →
dust2	13–3	0.06	17%	27 Aug →
ancient	9–13	0.02	25%	25 Aug →
cache	13–11	0.02	16%	25 Aug →
dust2	13–9	0.05	30%	25 Aug →
dust2	5–13	0.01	4%	25 Aug →
dust2	9–13	0.04	22%	24 Aug →
ancient	13–5	0.13	24%	24 Aug →
nuke	13–2	0.05	13%	24 Aug →
ancient	9–13	0.05	23%	24 Aug →
dust2	13–9	-0.01	8%	24 Aug →
anubis	13–9	0.03	11%	23 Aug →
ancient	6–13	-0.02	13%	23 Aug →
anubis	15–15	0.06	15%	23 Aug →
ancient	13–6	0.06	11%	23 Aug →
anubis	0–6	0.05	4%	23 Aug →
anubis	13–6	-0.01	24%	23 Aug →
dust2	13–11	0.03	24%	23 Aug →
mirage	2–13	0.04	13%	22 Aug →
dust2	4–13	-0.00	15%	22 Aug →
cache	13–10	0.02	26%	21 Aug →
cache	14–16	-0.01	20%	21 Aug →
dust2	13–6	0.09	10%	21 Aug →
dust2	11–13	0.03	30%	21 Aug →
cache	8–13	0.04	19%	20 Aug →
dust2	16–14	0.02	10%	20 Aug →
dust2	16–12	0.07	21%	20 Aug →
anubis	16–13	0.09	21%	19 Aug →
ancient	2–13	-0.01	11%	19 Aug →
anubis	13–3	0.07	6%	18 Aug →
ancient	13–10	0.02	18%	18 Aug →
anubis	13–8	0.04	23%	17 Aug →
dust2	16–12	0.04	19%	17 Aug →
cache	1–13	-0.10	11%	17 Aug →
ancient	10–13	-0.00	10%	17 Aug →
cache	11–13	0.08	25%	16 Aug →
ancient	13–10	0.04	16%	16 Aug →
cache	13–6	0.02	18%	16 Aug →
dust2	1–13	-0.12	7%	16 Aug →
anubis	13–10	0.05	18%	16 Aug →
ancient	14–16	0.08	16%	16 Aug →
ancient	11–13	0.04	25%	15 Aug →
ancient	5–13	-0.01	28%	15 Aug →
cache	15–15	0.02	17%	15 Aug →
anubis	13–7	0.05	24%	15 Aug →
anubis	13–1	0.14	17%	15 Aug →
cache	13–11	0.03	19%	14 Aug →
ancient	9–13	0.00	30%	14 Aug →
vertigo	13–11	0.07	26%	14 Aug →
cache	11–13	0.00	19%	13 Aug →
dust2	13–6	0.04	22%	12 Aug →
ancient	13–4	0.05	15%	12 Aug →
dust2	13–9	-0.04	15%	12 Aug →
ancient	13–6	0.02	20%	12 Aug →
dust2	13–8	-0.03	21%	12 Aug →
cache	8–13	0.06	12%	11 Aug →
ancient	13–7	0.07	19%	11 Aug →
cache	8–13	0.04	18%	11 Aug →
cache	16–14	0.09	17%	10 Aug →
cache	13–3	0.09	19%	10 Aug →
mirage	13–8	0.04	18%	9 Aug →
ancient	9–13	0.06	9%	9 Aug →
cache	2–13	0.00	12%	8 Aug →
dust2	5–13	-0.08	16%	6 Aug →
ancient	13–8	0.03	15%	6 Aug →
mirage	3–7	0.01	23%	6 Aug →
dust2	7–13	-0.03	14%	5 Aug →
ancient	13–16	-0.03	10%	5 Aug →
nuke	13–3	0.16	11%	5 Aug →
anubis	13–5	0.03	16%	4 Aug →
cache	13–10	0.04	15%	4 Aug →
dust2	13–8	0.07	19%	4 Aug →
cache	13–5	0.07	18%	4 Aug →
anubis	8–13	-0.03	18%	4 Aug →
mirage	13–10	0.02	5%	4 Aug →
mirage	13–5	0.08	14%	4 Aug →
cache	13–4	0.10	21%	3 Aug →
cache	15–15	-0.00	12%	3 Aug →
inferno	13–9	0.11	13%	3 Aug →
ancient	13–8	-0.03	10%	2 Aug →
ancient	2–13	-0.03	4%	2 Aug →
inferno	13–10	0.08	8%	2 Aug →
inferno	13–10	-0.01	15%	2 Aug →
nuke	13–9	0.11	14%	2 Aug →
anubis	13–10	0.06	22%	2 Aug →
ancient	13–2	-0.02	17%	2 Aug →
dust2	13–9	0.10	13%	2 Aug →
dust2	16–13	0.09	16%	2 Aug →
ancient	13–11	0.14	15%	2 Aug →
nuke	2–13	-0.04	10%	2 Aug →
dust2	13–5	0.05	8%	1 Aug →
dust2	13–5	-0.01	27%	1 Aug →
ancient	13–3	0.13	12%	1 Aug →
ancient	14–16	0.03	14%	1 Aug →
anubis	16–14	0.02	16%	1 Aug →
inferno	13–10	0.04	19%	1 Aug →
ancient	13–11	-0.04	11%	1 Aug →