El Pistolero — CS2 Stats

CG76561198005745550[U:1:45479822]Steam profile ↗✓ No bans

4,579Tracked matches45%Win rate2020Tracked since

6,259Hours in CS28Hrs last 2 wks

CSDB Rating5.8 SolidPassive Rifler

Premier CS Rating20,117Pink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#5244 of 11813 tracked

FaceitLevel 10 · 2,075 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

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	48.5%	52.8%
Shot accuracy	15.1%	13.7%
Kill/death ratio	0.93	1.08
Match win rate	42.9%	49.2%

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Performance scores

Aim82

Positioning50

Utility43

0–100 skill scores via Leetify.

Recent form

COLD56–43–1Last 10056%Win rateTLLLLWLWLW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.2

Aggression4.2

Utility4.3

Positioning5.0

Opening Duels1.2

Clutch2.8

Strong CT-side openerEffective flashes

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 89% playstyle similarity

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

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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 33 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.

T-side openings. Opening success drops from 46% on CT to 23% 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

Aim8.2

Positioning5.0

Utility4.3

Mechanics7.3

Opening Duels2.0

Win Impact3.3

Composite 5.8/10 (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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time547ms−90ms

first ⅓ avg 638ms → last ⅓ avg 547ms

Headshot accuracy24.3%−2.0%

first ⅓ avg 26.3% → last ⅓ avg 24.3%

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

0.14Best rating — mirage 13–2

13–1Biggest win — mirage

12Longest win streak

3–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 42% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	18–12	60%	-0.00
mirage	A	24	14–10	58%	-0.00
inferno	C	19	8–11	42%	-0.02
ancient	B	13	7–6	54%	-0.00
cache	S	9	6–3	67%	-0.01
anubis	—	4	3–1	75%	0.02
nuke	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

213,748Lifetime kills

0.93K/D

9,717Matches

42.9%Match win rate

48.5%Headshot %

15.1%Shot accuracy · Top 50% of Level 10 players

19,257MVPs

5,014Hours (in match)

11,308Bombs planted

1,852Bombs defused

Most-used weapons

AK-4794,936

M4A4 / M4A1-S56,189

P2000 / USP-S8,843

Glock-187,920

Galil AR6,902

MP96,801

Desert Eagle6,697

AWP4,965

FAMAS4,223

MAC-103,118

Lifetime map wins

34,359dust2

23,068inferno

2,705nuke

1,407vertigo

488train

215cbble

76office

39lake

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

Faceit stats

Combat

1,030Matches

54%Win rate

1.16Avg K/D

77.7ADR

47%Headshot %

Clutches & streaks

34%1v1 clutch win

26%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	164	57%	1.15	16.9
Inferno	148	55%	1.19	17.1
Mirage	124	48%	1.08	16.3
Ancient	123	53%	1.13	16.7
Anubis	77	52%	1.16	16.9
Nuke	20	55%	1.05	15.8
Overpass	15	53%	1.29	17.7
Cache	14	64%	1.09	18.2

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.

23.5%Headshot accuracy

36.9%Accuracy (enemy spotted)

39.7%Spray accuracy

83.0%Counter-strafing

10.4°Preaim

564msReaction time

23.4%T opening success

46.3%CT opening success

0.76Enemies flashed / flash

2.3%Flash assists

4.67HE damage / grenade

7.23Flashes / 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.

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 23.3602% — below the 40% mark we flag

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.

42% win rate across 19 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
dust2	15–15	0.03	20%	28 Aug →
inferno	0–13	-0.04	17%	28 Aug →
ancient	9–13	-0.07	29%	25 Aug →
mirage	6–13	0.03	35%	25 Aug →
dust2	14–16	0.01	24%	25 Aug →
inferno	13–11	-0.01	16%	24 Aug →
inferno	3–3	-0.13	0%	23 Aug →
cache	13–7	-0.03	11%	23 Aug →
inferno	7–13	-0.07	32%	23 Aug →
mirage	22–20	0.04	23%	18 Aug →
dust2	13–10	-0.02	34%	17 Aug →
cache	8–13	-0.04	22%	17 Aug →
inferno	10–13	-0.02	31%	14 Aug →
mirage	6–13	-0.13	19%	14 Aug →
dust2	13–6	0.01	25%	14 Aug →
anubis	13–5	0.01	30%	11 Aug →
cache	13–5	0.07	20%	10 Aug →
dust2	13–4	0.03	13%	9 Aug →
inferno	3–13	-0.03	21%	9 Aug →
dust2	13–6	0.10	21%	9 Aug →
mirage	13–2	0.07	34%	9 Aug →
dust2	13–16	0.01	16%	9 Aug →
inferno	9–13	0.00	16%	9 Aug →
mirage	13–7	0.01	27%	6 Aug →
dust2	16–12	0.03	26%	4 Aug →
mirage	11–13	-0.04	19%	4 Aug →
mirage	0–2	-0.08	100%	4 Aug →
dust2	14–16	0.03	25%	4 Aug →
mirage	13–10	0.01	32%	3 Aug →
inferno	2–13	-0.07	13%	3 Aug →
dust2	3–13	-0.09	13%	3 Aug →
dust2	9–13	0.00	26%	3 Aug →
ancient	11–13	-0.09	12%	2 Aug →
nuke	10–13	-0.01	13%	2 Aug →
dust2	13–8	-0.01	26%	2 Aug →
mirage	6–13	0.03	25%	2 Aug →
mirage	13–10	-0.00	22%	1 Aug →
anubis	10–13	-0.08	16%	30 Jul →
mirage	13–2	0.14	20%	30 Jul →
ancient	7–13	-0.01	21%	30 Jul →
inferno	13–6	0.03	26%	30 Jul →
ancient	13–8	0.01	19%	29 Jul →
cache	13–8	-0.06	27%	29 Jul →
dust2	13–4	0.07	31%	29 Jul →
dust2	2–13	-0.06	39%	29 Jul →
dust2	13–10	-0.05	27%	29 Jul →
dust2	4–13	-0.08	27%	28 Jul →
dust2	3–0	0.06	33%	28 Jul →
dust2	0–2	0.06	100%	27 Jul →
anubis	13–7	0.11	19%	27 Jul →
dust2	0–13	-0.06	0%	27 Jul →
cache	13–4	-0.03	26%	27 Jul →
mirage	13–3	-0.03	20%	26 Jul →
cache	13–6	0.02	24%	26 Jul →
dust2	13–10	-0.05	17%	26 Jul →
ancient	13–2	0.13	23%	26 Jul →
dust2	13–8	-0.01	29%	26 Jul →
ancient	13–4	0.02	20%	26 Jul →
mirage	13–5	0.10	22%	26 Jul →
inferno	13–9	0.03	32%	26 Jul →
anubis	13–7	0.04	31%	26 Jul →
mirage	13–6	-0.00	25%	23 Jul →
dust2	13–3	0.07	32%	23 Jul →
mirage	0–13	-0.17	0%	23 Jul →
inferno	10–13	-0.07	34%	23 Jul →
ancient	14–16	-0.05	14%	23 Jul →
inferno	16–13	-0.05	18%	23 Jul →
dust2	13–10	-0.01	25%	23 Jul →
dust2	13–5	0.01	18%	23 Jul →
dust2	4–13	-0.10	12%	23 Jul →
ancient	13–5	0.05	23%	23 Jul →
dust2	13–8	-0.01	24%	23 Jul →
mirage	13–3	-0.02	18%	23 Jul →
mirage	13–9	-0.03	12%	23 Jul →
cache	13–6	-0.03	9%	23 Jul →
dust2	13–7	-0.04	29%	23 Jul →
cache	6–13	0.01	15%	23 Jul →
ancient	13–3	-0.03	31%	22 Jul →
ancient	13–8	0.02	25%	22 Jul →
ancient	11–13	-0.01	30%	22 Jul →
inferno	13–5	0.02	25%	22 Jul →
mirage	13–10	-0.01	28%	22 Jul →
mirage	7–13	0.02	36%	22 Jul →
inferno	5–13	-0.08	24%	21 Jul →
inferno	13–5	0.01	23%	21 Jul →
mirage	13–1	-0.00	8%	21 Jul →
mirage	9–13	0.00	24%	21 Jul →
inferno	13–10	0.05	27%	21 Jul →
cache	7–13	-0.03	24%	21 Jul →
inferno	4–13	-0.05	40%	21 Jul →
mirage	13–3	0.02	39%	21 Jul →
ancient	13–10	0.06	22%	18 Jul →
mirage	11–13	0.01	33%	18 Jul →
ancient	12–16	-0.04	24%	18 Jul →
dust2	6–13	-0.03	20%	18 Jul →
inferno	8–13	-0.02	38%	17 Jul →
dust2	13–6	-0.02	15%	16 Jul →
mirage	1–4	0.04	75%	16 Jul →
inferno	5–0	0.10	50%	14 Jul →
dust2	13–11	-0.04	24%	14 Jul →