Papi "Ronald 'Bucknasty'" Sucio

Papi "Ronald 'Bucknasty'" Sucio — CS2 Stats

76561198069525004[U:1:109259276]Steam profile ↗✓ No bans

925Tracked matches50%Win rate2020Tracked since
CSDB Rating4.8 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,263 → 1,263
+3Tracked matches · now 925
+3.3ppWin rate · 46.7% → 50.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 71 days played since 1 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,685 +2,983 1 May5 Jul · 17 days played
17,70220,990peak 20,9901 May5 Jul
Faceit ELO: 1,263 +0 31 Aug21 Sept · 3 observations
1,2631,263peak 1,26331 Aug21 Sept
21,015Peak Premier in tracked matches
1,263Highest Faceit ELO seen on CSDB
71Days played since 2026-05-01

Faceit ELO

  • At peak — 1,263
  • Next: Level 7 at 1,351 88 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-31
  • Level 5 first seen 2026-08-31

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

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CSDB.GGPapi "Ronald 'Bucknasty'"…PEAK ELO1,263csdb.gg/stats

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Performance scores

Aim66
Positioning48
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY52444Last 10052%Win rateWWLLLWLLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +6.2pp headshot accuracy · −21ms 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

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 574ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 553ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 564ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim6.6
Utility5.1
Positioning4.8
Opening Duels2.6
Clutch2.6

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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 47% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim6.6
Positioning4.8
Utility5.1
Mechanics6.0
Opening Duels2.1
Win Impact5.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time575ms−38ms
first ⅓ avg 612ms → last ⅓ avg 575ms
Headshot accuracy21.0%+0.8%
first ⅓ avg 20.2% → last ⅓ avg 21.0%

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

0.11Best match rating · 13–11 · ancient, 23 Jun
39%Best headshot accuracy · 13–3 · ancient, 31 Aug
438msFastest reaction time · 11–13 · cache, 23 May
13–3Biggest win · ancient, 31 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
1210In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 70% over 20infernoWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
ancientS2014670%0.01
nukeS2013765%-0.01
anubisA1710759%-0.00
mirageD1541127%-0.02
cacheC94544%-0.01
infernoD6060%0.00
dust2A53260%0.01
overpass43175%-0.02
office3030%-0.03
italy110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

168Matches
54%Win rate
1.04Avg K/D
78.2ADR
55%Headshot %

Clutches & streaks

33%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient3866%1.1517.2
Mirage3636%0.9514.1
Nuke3358%0.9615.4
Anubis3060%1.1216.9
Inferno1030%0.9113.9
Dust21060%1.1615.3
Train367%1.4418.3
Cache333%0.7214.7

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.

20.6%Headshot accuracy
33.0%Accuracy (enemy spotted)
33.9%Spray accuracy
77.1%Counter-strafing
10.5°Preaim
568msReaction time
30.2%T opening success
46.9%CT opening success
0.69Enemies flashed / flash
5.9%Flash assists
13.32HE damage / grenade
4.47Flashes / 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. 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 30.202% — 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0118%21 Sept
mirage13–110.0024%15 Sept
dust21–13-0.0232%13 Sept
mirage2–130.0526%12 Sept
cache11–13-0.0220%12 Sept
ancient13–50.0231%8 Sept
nuke11–130.0124%4 Sept
mirage6–13-0.0420%2 Sept
ancient13–3-0.0139%31 Aug
ancient13–80.0220%27 Aug
mirage13–8-0.039%27 Aug
ancient8–13-0.0319%20 Aug
mirage7–13-0.0119%18 Aug
nuke13–5-0.0119%15 Aug
mirage10–13-0.0529%15 Aug
anubis5–13-0.0416%14 Aug
ancient19–160.0116%13 Aug
cache14–16-0.0228%12 Aug
nuke17–19-0.0018%11 Aug
anubis8–13-0.0021%10 Aug
anubis13–90.0318%7 Aug
ancient11–130.0116%6 Aug
nuke13–90.0520%4 Aug
anubis12–16-0.049%1 Aug
nuke13–6-0.0228%31 Jul
nuke13–100.0429%30 Jul
inferno11–130.0522%29 Jul
nuke13–90.0111%28 Jul
anubis13–100.0820%28 Jul
nuke13–9-0.0113%23 Jul
anubis5–13-0.059%23 Jul
ancient13–90.0022%21 Jul
ancient16–120.0628%21 Jul
ancient13–60.0529%18 Jul
anubis8–130.0217%18 Jul
nuke16–130.0122%18 Jul
cache13–3-0.0515%14 Jul
nuke3–13-0.077%14 Jul
ancient13–11-0.0015%13 Jul
ancient11–130.008%13 Jul
ancient13–50.0419%13 Jul
cache12–16-0.0316%9 Jul
dust211–13-0.0125%9 Jul
anubis13–50.0616%9 Jul
anubis9–13-0.0525%9 Jul
mirage13–110.0222%7 Jul
office12–12-0.0517%5 Jul
ancient9–13-0.0715%5 Jul
mirage10–13-0.0820%4 Jul
nuke6–13-0.0424%3 Jul
dust213–11-0.0033%3 Jul
inferno12–120.0117%2 Jul
ancient3–13-0.0618%30 Jun
nuke1–13-0.1014%29 Jun
nuke6–13-0.0027%27 Jun
italy13–80.020%26 Jun
anubis4–13-0.0221%25 Jun
overpass13–11-0.0124%24 Jun
ancient13–110.1119%23 Jun
anubis13–110.0319%22 Jun
nuke16–13-0.0323%22 Jun
mirage5–130.0224%21 Jun
nuke13–40.0617%21 Jun
inferno6–13-0.0714%21 Jun
overpass13–10-0.0516%21 Jun
dust213–60.0016%20 Jun
mirage11–13-0.0125%17 Jun
overpass13–110.0216%16 Jun
office6–13-0.0236%15 Jun
office5–13-0.0317%15 Jun
mirage8–13-0.0715%14 Jun
ancient16–14-0.0130%11 Jun
anubis13–6-0.0115%11 Jun
nuke8–13-0.078%11 Jun
overpass13–16-0.0518%9 Jun
ancient13–4-0.0126%8 Jun
ancient13–100.0624%8 Jun
anubis13–4-0.0416%6 Jun
inferno7–13-0.0313%2 Jun
dust213–80.0538%1 Jun
mirage12–12-0.0227%31 May
mirage12–12-0.0224%31 May
mirage4–13-0.0424%28 May
anubis13–9-0.0322%25 May
inferno7–130.0315%25 May
anubis13–90.0313%25 May
ancient6–130.0121%24 May
cache11–13-0.0421%23 May
ancient13–80.0416%21 May
cache13–90.0525%20 May
inferno9–130.0323%19 May
nuke13–4-0.0314%18 May
cache13–80.0234%13 May
cache5–13-0.0211%12 May
mirage13–110.0017%12 May
nuke13–60.0419%7 May
nuke13–8-0.0317%5 May
anubis16–14-0.0115%2 May
cache16–140.0116%2 May
nuke13–8-0.0118%1 May

Match data via Leetify.

Recent teammates

Milestones

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