paqueta

paqueta — CS2 Stats

BR76561198894215769[U:1:933950041]Steam profile ↗✓ No bans

2,266Tracked matches63%Win rate2020Tracked since
CSDB Rating8.6 ElitePositional Player
FaceitLevel 10 · 2,829 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,829 → 2,829
+45Tracked matches · now 2,266
+13.3ppWin rate · 50.0% → 63.3%

Rating over time

Faceit ELO: 2,829 +0 29 Aug – 2 Sept · 2 observations
2,8292,829peak 2,82929 Aug2 Sept
2,829Highest Faceit ELO seen on CSDB
28Days played since 2026-07-14

Faceit ELO

  • At peak — 2,829
  • Next: 3,000 ELO at 3,000 — 171 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-29
  • Level 10 first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGpaquetaFACEITLevel 10 · 2,829 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,829csdb.gg/stats

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Performance scores

Aim89
Positioning83
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY58–42Last 10058%Win rateWLWLLWLWWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +1.4pp headshot accuracy · −36ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 462ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 474ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 491ms

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 (+1.6 against its own average).

Aim8.9
Utility7.3
Positioning8.3
Opening Duels7.2
Clutch4.2

Sharp aimerStrong CT-side openerEffective flashesStrong positioning

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

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 89 — the mechanical foundation is a clear strength.

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 70% T opening-duel success — entries that actually open the round.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

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

Aim8.9
Positioning8.3
Utility7.3
Mechanics7.4
Opening Duels9.8
Win Impact9.4

Composite 8.6/10 (Elite), 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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time489ms−104ms
first ⅓ avg 593ms → last ⅓ avg 489ms
Headshot accuracy20.2%−2.0%
first ⅓ avg 22.2% → last ⅓ avg 20.2%

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

0.21Best match rating · 13–11 · vertigo, 4 Aug →
50%Best headshot accuracy · 5–13 · inferno, 3 Aug →
344msFastest reaction time · 13–3 · nuke, 10 Sept →
13–0Biggest win · dust2, 30 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2717–1063%0.03
dust2C188–1044%0.03
nukeB158–753%0.04
ancientS139–469%0.02
cacheS96–367%0.02
infernoD72–529%-0.02
vertigo—44–0100%0.13
anubis—42–250%0.03
train—32–167%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,479Matches
56%Win rate
1.25Avg K/D
83.4ADR
48%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
20Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage68954%1.2416.4
Anubis27265%1.2916.5
Dust225452%1.2417.1
Ancient24658%1.2116.6
Nuke12465%1.4017.2
Inferno5860%1.3116.3
Vertigo4065%1.3519.1
Train1765%1.2916.4

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.

19.2%Headshot accuracy
37.9%Accuracy (enemy spotted)
41.9%Spray accuracy
83.2%Counter-strafing
8.2°Preaim
486msReaction time
69.7%T opening success
68.7%CT opening success
0.78Enemies flashed / flash
11.6%Flash assists
7.10HE damage / grenade
11.93Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0415%7 Oct →
mirage8–130.0119%7 Oct →
mirage13–60.0119%7 Oct →
mirage0–4-0.0238%6 Oct →
dust220–220.0327%3 Oct →
dust213–00.159%30 Sept →
dust29–13-0.0119%28 Sept →
dust213–100.0220%28 Sept →
mirage13–50.1026%23 Sept →
vertigo13–60.1428%23 Sept →
train13–110.1618%23 Sept →
mirage13–30.0223%17 Sept →
mirage10–130.0416%17 Sept →
dust213–100.0135%15 Sept →
nuke13–30.0721%15 Sept →
mirage9–130.0225%15 Sept →
anubis13–90.0420%15 Sept →
mirage6–13-0.0114%15 Sept →
dust213–70.0814%14 Sept →
inferno13–10.0119%12 Sept →
cache13–30.0915%11 Sept →
mirage8–13-0.0022%11 Sept →
inferno9–130.0417%11 Sept →
dust213–70.028%10 Sept →
mirage13–60.1115%10 Sept →
mirage13–110.0213%10 Sept →
dust24–13-0.0415%10 Sept →
mirage19–16-0.0313%10 Sept →
dust28–130.0226%10 Sept →
nuke13–30.1616%10 Sept →
nuke13–50.0424%10 Sept →
mirage6–130.0221%10 Sept →
mirage13–80.0738%10 Sept →
mirage13–110.0925%9 Sept →
dust213–70.0625%9 Sept →
dust26–130.0416%9 Sept →
cache13–30.0422%1 Sept →
mirage13–70.0723%19 Aug →
nuke9–13-0.0119%12 Aug →
train0–13-0.0138%12 Aug →
ancient13–00.0711%12 Aug →
dust24–130.0131%12 Aug →
train13–00.1737%12 Aug →
dust213–60.0812%11 Aug →
mirage13–60.0325%11 Aug →
mirage13–110.0115%5 Aug →
nuke8–13-0.0121%5 Aug →
cache10–13-0.0024%5 Aug →
ancient13–6-0.0310%5 Aug →
mirage12–16-0.0418%5 Aug →
dust27–13-0.0131%5 Aug →
nuke13–90.0717%5 Aug →
nuke13–80.0422%5 Aug →
nuke13–70.0342%5 Aug →
ancient16–140.0130%5 Aug →
vertigo13–110.2126%4 Aug →
nuke10–130.0926%4 Aug →
nuke5–13-0.0216%4 Aug →
ancient14–160.0416%3 Aug →
inferno5–13-0.0150%3 Aug →
cache10–13-0.0425%3 Aug →
anubis4–13-0.0627%3 Aug →
nuke10–13-0.0412%3 Aug →
vertigo13–30.1326%29 Jul →
vertigo13–30.0450%29 Jul →
dust21–13-0.0733%28 Jul →
mirage13–50.1417%21 Jul →
inferno3–13-0.0317%18 Jul →
cache13–20.0736%18 Jul →
nuke9–20.1415%18 Jul →
mirage10–130.0420%17 Jul →
ancient13–6-0.0520%17 Jul →
ancient13–90.0320%17 Jul →
ancient13–9-0.0116%17 Jul →
dust213–50.0820%17 Jul →
ancient10–130.0217%17 Jul →
inferno19–17-0.0026%17 Jul →
mirage13–90.0430%17 Jul →
mirage13–1-0.0223%17 Jul →
cache13–11-0.0117%17 Jul →
ancient13–10.0523%16 Jul →
mirage13–100.0423%16 Jul →
dust28–130.0021%16 Jul →
ancient7–130.0422%16 Jul →
mirage13–60.0222%16 Jul →
inferno4–13-0.0631%16 Jul →
anubis13–50.0918%16 Jul →
nuke13–50.0119%16 Jul →
ancient3–13-0.0714%16 Jul →
cache13–50.0613%16 Jul →
ancient9–20.1025%15 Jul →
cache14–16-0.0228%15 Jul →
dust214–160.0422%15 Jul →
nuke16–190.0217%15 Jul →
cache13–70.0136%15 Jul →
anubis7–130.0415%15 Jul →
mirage8–13-0.0328%15 Jul →
inferno7–13-0.0726%14 Jul →
nuke4–130.0124%14 Jul →
ancient13–110.0927%14 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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