EL_Paco Bretto

EL_Paco Bretto — CS2 Stats

CH76561199471064913[U:1:1510799185]Steam profile ↗✓ No bans

317Tracked matches43%Win rate2023Tracked since
407Hours in CS14Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating16,368Purple band · top ~23% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,368 +4,905 19 May – 8 Oct · 19 days played
11,46316,368peak 16,36819 May8 Oct
16,368Peak Premier in tracked matches
41Days played since 2026-05-17

Premier CS Rating

  • At peak — 16,368
  • +1,791 over 30 days · improving
  • +4,699 over 90 days
  • Next: Pink band at 20,000 — 3,632 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches40——
Win rate40%——
K/D1.17——
Headshot %52%——

Measured 12 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate42.7%44.3%46.9%4.2% short
Shot accuracy7.8%11.9%13.0%5.2% short
Kill/death ratio1.021.031.080.06 short
Match win rate38.7%45.2%46.7%8.0% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGEL_Paco BrettoPREMIER16,368 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning60
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWLWWLWWLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −1.2pp headshot accuracy · +82ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 653ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 622ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 581ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.3
Utility3.2
Positioning6.0
Opening Duels4.8

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

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

Reaction time. 573ms 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

Aim8.3
Positioning6.0
Utility3.2
Mechanics6.2
Opening Duels7.1
Win Impact2.8

Composite 6.1/10 (Solid), 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+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time556ms−35ms
first ⅓ avg 591ms → last ⅓ avg 556ms
Headshot accuracy21.4%+1.5%
first ⅓ avg 19.9% → last ⅓ avg 21.4%

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.

Personal bests

0.16Best match rating · 7–13 · fachwerk, 14 Aug →
60%Best headshot accuracy · 2–13 · vertigo, 3 Jun →
383msFastest reaction time · 9–7 · nuke, 24 Aug →
13–2Biggest win · mirage, 6 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 83% over 6vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D206–1430%0.01
mirageA1911–858%0.01
infernoA1810–856%0.04
nukeC104–640%-0.01
ancientB84–450%0.01
anubisD82–625%0.04
cacheS65–183%0.01
vertigoD51–420%-0.03
train—21–150%0.06
fachwerk—21–150%0.14
overpass—10–10%-0.02
poseidon—10–10%-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,140Lifetime kills
1.02K/D
618Matches
38.7%Match win rate
42.7%Headshot %
7.8%Shot accuracy
1,322MVPs
214Hours (in match)
402Bombs planted
123Bombs defused

Most-used weapons

Lifetime map wins

1,129inferno
1,071dust2
574nuke
316vertigo
101lake
86train
43office
24cbble

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.

21.6%Headshot accuracy
38.5%Accuracy (enemy spotted)
40.6%Spray accuracy
77.9%Counter-strafing
8.9°Preaim
573msReaction time
62.0%T opening success
54.6%CT opening success
0.45Enemies flashed / flash
3.2%Flash assists
7.28HE damage / grenade
4.42Flashes / 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.

  1. 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 0.4548 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0117%8 Oct →
ancient6–13-0.0031%8 Oct →
inferno16–130.1630%8 Oct →
nuke13–60.0213%8 Oct →
dust24–130.0426%7 Oct →
mirage13–100.0612%7 Oct →
dust216–120.069%7 Oct →
train8–130.0326%5 Oct →
dust213–100.0425%4 Oct →
anubis4–13-0.0217%4 Oct →
fachwerk13–60.1319%3 Oct →
dust29–130.0225%3 Oct →
dust20–2-0.080%3 Oct →
anubis10–130.0532%3 Oct →
vertigo3–13-0.0233%28 Sept →
cache6–13-0.0710%28 Sept →
dust26–130.0739%28 Sept →
cache13–50.0128%25 Sept →
dust213–70.0426%25 Sept →
ancient13–11-0.027%25 Sept →
inferno6–130.0110%24 Sept →
nuke11–130.0316%24 Sept →
inferno5–90.0914%24 Sept →
dust25–13-0.0623%23 Sept →
mirage4–13-0.0520%23 Sept →
nuke8–13-0.1018%23 Sept →
mirage6–130.0317%18 Sept →
mirage13–7-0.0114%18 Sept →
anubis13–50.0736%13 Sept →
mirage13–70.0530%12 Sept →
overpass0–6-0.0244%12 Sept →
inferno13–30.0819%9 Sept →
ancient8–130.0222%7 Sept →
mirage13–100.0824%7 Sept →
inferno13–110.0710%6 Sept →
nuke0–13-0.0727%6 Sept →
mirage13–20.1524%6 Sept →
anubis11–130.0920%1 Sept →
ancient2–13-0.0222%24 Aug →
inferno13–100.1124%24 Aug →
nuke9–70.0934%24 Aug →
ancient13–60.0719%24 Aug →
cache13–40.1130%24 Aug →
ancient13–100.0115%19 Aug →
dust213–60.0624%17 Aug →
train7–20.0836%14 Aug →
fachwerk7–130.1622%14 Aug →
vertigo9–130.0434%14 Aug →
inferno13–9-0.0022%13 Aug →
cache13–30.0323%13 Aug →
ancient13–80.0919%13 Aug →
dust211–13-0.0122%10 Aug →
mirage13–80.1127%10 Aug →
nuke3–130.0528%10 Aug →
inferno13–16-0.0420%4 Aug →
inferno11–130.0624%1 Aug →
mirage13–30.0122%1 Aug →
dust25–13-0.0111%14 Jul →
nuke0–13-0.1124%14 Jul →
mirage11–13-0.1011%12 Jul →
dust21–13-0.0631%6 Jul →
anubis9–130.0316%4 Jul →
nuke4–13-0.0629%4 Jul →
cache13–110.0121%2 Jul →
dust28–13-0.0732%2 Jul →
mirage13–3-0.0143%27 Jun →
dust210–130.0215%27 Jun →
mirage1–13-0.030%23 Jun →
inferno11–130.0139%23 Jun →
inferno10–130.0928%22 Jun →
inferno9–13-0.018%22 Jun →
dust28–13-0.0417%17 Jun →
inferno13–8-0.0019%17 Jun →
dust29–130.0426%14 Jun →
cache13–6-0.0224%3 Jun →
vertigo13–11-0.0423%3 Jun →
anubis13–7-0.0413%3 Jun →
vertigo2–13-0.0760%3 Jun →
mirage3–130.0218%2 Jun →
anubis12–120.0824%2 Jun →
anubis5–130.0718%2 Jun →
inferno13–110.1132%27 May →
mirage11–130.0121%27 May →
dust25–13-0.0821%25 May →
inferno9–13-0.0315%25 May →
nuke13–10-0.028%25 May →
mirage13–160.0510%25 May →
inferno13–110.0130%25 May →
inferno13–6-0.016%25 May →
dust213–70.1432%25 May →
mirage13–9-0.0311%21 May →
dust213–50.0833%21 May →
nuke13–50.069%21 May →
mirage4–13-0.0610%21 May →
mirage13–90.0118%21 May →
inferno13–3-0.057%21 May →
ancient9–13-0.0315%19 May →
dust211–13-0.0328%17 May →
poseidon8–8-0.0218%17 May →
vertigo3–13-0.0815%17 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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