jesusito el surfero — CS2 Stats

ES76561198876553580[U:1:916287852]Steam profile ↗✓ No bans

2,046Tracked matches36%Win rate2020Tracked since

7,790Hours in CS1Hrs last 2 wks

CSDB Rating4.0 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median	Level 4 median	vs Level 4
Headshot rate	37.0%	42.1%	42.5%	5.4% short
Shot accuracy	8.0%	12.1%	10.9%	2.8% short
Kill/death ratio	0.90	0.99	0.99	0.10 short
Match win rate	43.3%	43.9%	44.2%	0.9% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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

Aim52

Positioning37

Utility37

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateLLLLLLWLLL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Aim5.2

Aggression5.6

Utility3.7

Positioning3.7

Opening Duels1.7

Clutch4.8

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 NiKo 80% playstyle similarity

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

Where you differ: lower utility contribution; lower aim 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

Areas to improve

Reaction time. 601ms 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

Aim5.2

Positioning3.7

Utility3.7

Mechanics6.2

Opening Duels1.7

Win Impact0.2

Composite 4.0/10 (Developing), 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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time603ms+2ms

first ⅓ avg 601ms → last ⅓ avg 603ms

Headshot accuracy13.5%−0.5%

first ⅓ avg 14.0% → last ⅓ avg 13.5%

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

0.19Best rating — inferno 13–1

13–1Biggest win — inferno

13Longest win streak

L6Current streak

14–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 76% over 17dust2Weakest map · 41% over 41

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	41	17–24	41%	-0.02
inferno	B	29	15–14	52%	0.02
ancient	S	17	13–4	76%	0.03
anubis	—	4	1–3	25%	-0.01
nuke	—	3	1–2	33%	-0.02
cache	—	3	1–2	33%	-0.04
overpass	—	3	3–0	100%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 41). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,004Lifetime kills

0.90K/D

6,047Matches

43.3%Match win rate

37.0%Headshot %

8.0%Shot accuracy

12,653MVPs

2,607Hours (in match)

5,690Bombs planted

1,209Bombs defused

Most-used weapons

AK-4730,164

M4A4 / M4A1-S18,062

AWP14,558

MP95,862

P2000 / USP-S5,430

Tec-95,210

Desert Eagle5,133

SSG 084,487

MAC-103,328

XM10143,001

Lifetime map wins

22,544inferno

8,696dust2

4,316vertigo

1,001nuke

412train

190office

81cbble

52italy

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

Faceit stats

Combat

86Matches

45%Win rate

0.86Avg K/D

84.6ADR

37%Headshot %

Clutches & streaks

44%1v1 clutch win

38%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	46%	1.01	14.5
Vertigo	8	50%	0.92	14.1
Ancient	7	14%	0.88	14.0
Dust2	5	40%	0.85	11.8
Inferno	5	60%	1.04	17.4
Anubis	3	33%	0.90	14.7
Overpass	3	33%	1.28	23.0
Vandal	2	0%	0.36	6.5

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.

13.2%Headshot accuracy

33.4%Accuracy (enemy spotted)

33.3%Spray accuracy

78.0%Counter-strafing

10.9°Preaim

601msReaction time

35.7%T opening success

37.5%CT opening success

0.49Enemies flashed / flash

2.3%Flash assists

8.25HE damage / grenade

3.74Flashes / 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 13.1964% — below the 15% mark we flag
Aim Training →
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 0.4852 — below the 0.5 mark we flag
Grenade Lineups →
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 35.708% — below the 40% mark we flag

Spend your practice time on Dust 2

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

41% win rate across 41 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	7–13	-0.03	14%	18 Aug →
dust2	2–13	-0.04	15%	11 Jul →
dust2	8–13	-0.03	19%	22 Jun →
dust2	10–13	-0.04	4%	22 Jun →
nuke	14–16	0.01	13%	22 Jun →
anubis	12–16	0.00	23%	18 May →
dust2	16–14	-0.00	20%	16 May →
inferno	9–13	0.08	15%	16 May →
dust2	7–13	-0.02	11%	9 May →
ancient	9–13	0.04	7%	2 May →
cache	6–13	-0.13	3%	2 May →
dust2	13–5	0.03	31%	1 May →
cache	9–13	-0.04	9%	30 Apr →
cache	13–11	0.05	19%	29 Apr →
ancient	13–9	-0.01	11%	26 Apr →
nuke	13–9	-0.05	11%	26 Apr →
inferno	9–13	-0.02	10%	25 Apr →
dust2	10–13	-0.08	11%	24 Apr →
dust2	6–13	-0.06	15%	24 Apr →
ancient	13–3	0.13	11%	24 Apr →
inferno	11–13	0.01	12%	22 Apr →
inferno	13–10	0.03	14%	22 Apr →
dust2	3–13	-0.06	21%	21 Apr →
inferno	15–15	0.03	10%	19 Apr →
ancient	13–4	-0.07	17%	19 Apr →
ancient	9–13	-0.06	10%	18 Apr →
dust2	13–4	0.01	8%	18 Apr →
dust2	15–15	-0.07	10%	16 Apr →
inferno	9–13	-0.06	10%	16 Apr →
inferno	13–10	0.01	15%	16 Apr →
inferno	10–13	-0.03	8%	15 Apr →
anubis	13–4	0.02	19%	15 Apr →
dust2	14–16	-0.04	21%	12 Apr →
inferno	14–16	0.01	17%	12 Apr →
dust2	7–13	-0.01	8%	11 Apr →
dust2	13–10	0.04	18%	11 Apr →
inferno	13–11	0.06	7%	11 Apr →
inferno	6–13	-0.02	18%	11 Apr →
ancient	13–3	0.13	16%	11 Apr →
dust2	13–10	-0.02	14%	11 Apr →
dust2	13–8	0.00	14%	11 Apr →
ancient	13–4	0.07	21%	11 Apr →
inferno	13–2	0.01	7%	11 Apr →
inferno	13–7	-0.03	14%	10 Apr →
ancient	13–3	0.00	10%	10 Apr →
inferno	13–7	0.03	10%	10 Apr →
dust2	13–11	0.01	17%	9 Apr →
dust2	13–11	-0.02	8%	9 Apr →
dust2	13–9	-0.03	27%	8 Apr →
inferno	13–1	0.19	15%	7 Apr →
dust2	13–10	-0.02	22%	7 Apr →
inferno	14–16	0.04	10%	7 Apr →
dust2	11–13	-0.03	10%	6 Apr →
inferno	11–13	-0.04	16%	6 Apr →
dust2	13–11	-0.03	10%	6 Apr →
ancient	13–7	0.00	7%	6 Apr →
dust2	9–13	-0.04	4%	6 Apr →
dust2	13–11	-0.02	9%	5 Apr →
dust2	13–11	-0.05	4%	5 Apr →
ancient	16–13	-0.01	14%	5 Apr →
dust2	10–13	-0.03	18%	4 Apr →
dust2	11–13	-0.05	16%	4 Apr →
overpass	13–4	0.02	12%	4 Apr →
ancient	13–9	0.04	25%	4 Apr →
inferno	13–5	-0.01	15%	4 Apr →
dust2	11–13	-0.03	17%	4 Apr →
dust2	10–13	-0.07	18%	4 Apr →
dust2	8–13	-0.04	24%	3 Apr →
ancient	13–11	0.05	10%	3 Apr →
inferno	13–6	0.06	6%	3 Apr →
dust2	8–13	0.02	22%	2 Apr →
dust2	10–13	-0.04	17%	1 Apr →
ancient	13–11	0.03	8%	1 Apr →
dust2	10–13	-0.03	15%	1 Apr →
anubis	9–13	0.03	19%	29 Mar →
inferno	8–13	0.01	13%	28 Mar →
inferno	13–7	0.02	16%	28 Mar →
inferno	13–11	0.00	19%	27 Mar →
inferno	13–10	0.06	16%	27 Mar →
dust2	13–3	-0.00	11%	27 Mar →
dust2	2–13	-0.12	19%	26 Mar →
anubis	3–13	-0.09	6%	25 Mar →
dust2	10–13	0.04	6%	25 Mar →
dust2	13–8	0.06	16%	23 Mar →
ancient	13–4	0.07	11%	23 Mar →
dust2	8–13	-0.06	17%	22 Mar →
ancient	6–13	-0.04	8%	21 Mar →
dust2	13–4	0.03	19%	21 Mar →
inferno	13–8	0.02	11%	21 Mar →
dust2	7–13	-0.09	16%	21 Mar →
inferno	12–16	-0.04	20%	20 Mar →
inferno	5–13	0.01	12%	20 Mar →
inferno	16–13	0.11	17%	20 Mar →
inferno	15–15	0.05	16%	20 Mar →
overpass	13–11	-0.02	15%	20 Mar →
overpass	16–14	-0.00	10%	19 Mar →
ancient	13–11	0.02	14%	19 Mar →
ancient	10–13	0.04	12%	19 Mar →
dust2	13–3	0.09	12%	19 Mar →
inferno	13–8	0.04	10%	19 Mar →