Ribulli

Ribulli — CS2 Stats

FI76561198014491489[U:1:54225761]Steam profile ↗✓ No bans

380Tracked matches50%Win rate2021Tracked since
CSDB Rating5.5 SolidSupport
CSDB Leaderboard#78900 of 260020 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,351 +5,352 1 Sept – 18 Jan · 15 days played
14,99920,351peak 20,3511 Sept18 Jan
20,351Peak Premier in tracked matches
47Days played since 2025-08-19

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

Performance scores

Aim59
Positioning54
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLLLLWWWWLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · −8ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 576ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 580ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim5.9
Utility6.0
Positioning5.4
Opening Duels2.6
Clutch3.0

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

Twistzz

Plays most like Twistzz 80% 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

Reaction time. 598ms 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

Aim5.9
Positioning5.4
Utility6.0
Mechanics6.6
Opening Duels3.0
Win Impact5.0

Composite 5.5/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time598ms−43ms
first ⅓ avg 641ms → last ⅓ avg 598ms
Headshot accuracy14.6%+1.7%
first ⅓ avg 12.9% → last ⅓ avg 14.6%

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

0.15Best match rating · 7–0 · train, 13 Sept →
50%Best headshot accuracy · 4–9 · inferno, 27 Dec →
422msFastest reaction time · 13–10 · anubis, 13 Sept →
13–2Biggest win · inferno, 13 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
6–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 100% over 5mirageWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B2010–1050%0.00
infernoA2011–955%-0.03
ancientB1910–953%-0.01
mirageC167–944%-0.01
nukeS128–467%0.02
overpassA74–357%0.01
anubisS55–0100%0.01
train—11–0100%0.15

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

129Matches
50%Win rate
0.95Avg K/D
73.1ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3168%0.9813.4
Nuke3050%1.0213.0
Anubis1958%1.1417.8
Ancient1533%0.8313.3
Dust21560%0.8911.9
Mirage1225%0.8113.9
Overpass40%0.7311.0
Train10%0.578.0

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.

15.0%Headshot accuracy
32.2%Accuracy (enemy spotted)
39.0%Spray accuracy
79.7%Counter-strafing
10.9°Preaim
598msReaction time
46.0%T opening success
38.3%CT opening success
0.62Enemies flashed / flash
9.2%Flash assists
9.13HE damage / grenade
11.69Flashes / 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. 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 14.9732% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.3104% — below the 40% mark we flag

Spend your practice time on Mirage

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

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.077%25 Oct →
nuke13–16-0.0317%25 Oct →
mirage7–13-0.0517%20 Oct →
mirage5–130.0520%19 Oct →
anubis13–90.0411%19 Oct →
mirage13–9-0.0124%19 Oct →
inferno13–40.0423%18 Oct →
ancient13–8-0.0316%18 Oct →
dust210–13-0.0114%2 Oct →
dust25–13-0.0311%2 Oct →
dust213–60.0119%29 Sept →
mirage11–13-0.0314%27 Sept →
mirage7–13-0.0310%25 Sept →
ancient13–5-0.039%20 Sept →
dust213–40.0123%20 Sept →
anubis13–10-0.0318%13 Sept →
dust213–110.005%13 Sept →
dust213–100.0314%23 Aug →
nuke13–80.0615%14 Aug →
mirage13–11-0.0122%14 Aug →
mirage13–6-0.0313%24 Apr →
dust25–130.037%24 Apr →
dust213–160.0116%17 Apr →
dust24–13-0.059%17 Apr →
ancient9–130.0412%1 Apr →
inferno10–13-0.0725%1 Apr →
dust213–11-0.0314%29 Mar →
ancient15–19-0.0017%15 Mar →
anubis13–4-0.0011%15 Mar →
ancient10–130.0213%24 Feb →
inferno5–13-0.0814%24 Feb →
mirage13–70.0915%24 Feb →
ancient8–13-0.087%17 Feb →
inferno28–250.0116%15 Feb →
nuke13–50.0723%13 Feb →
inferno12–12-0.0611%13 Feb →
ancient13–90.0017%13 Feb →
dust213–11-0.029%8 Feb →
nuke13–90.028%6 Feb →
inferno11–13-0.0919%6 Feb →
anubis13–80.0413%6 Feb →
ancient5–13-0.0331%6 Feb →
inferno3–13-0.0325%27 Jan →
inferno13–40.0323%27 Jan →
ancient13–16-0.0511%24 Jan →
dust213–4-0.0220%24 Jan →
overpass7–13-0.059%24 Jan →
inferno4–13-0.0514%18 Jan →
ancient13–60.0112%3 Jan →
inferno16–12-0.0117%3 Jan →
nuke13–80.0726%3 Jan →
inferno4–9-0.1650%27 Dec →
overpass9–40.0716%27 Dec →
inferno13–70.0228%29 Nov →
anubis13–90.0116%29 Nov →
overpass15–15-0.0414%24 Oct →
dust213–50.0710%24 Oct →
mirage2–5-0.0115%24 Oct →
nuke8–13-0.0210%21 Oct →
nuke10–13-0.0214%20 Oct →
mirage9–13-0.0322%20 Oct →
inferno16–13-0.0211%20 Oct →
nuke13–60.0312%15 Oct →
ancient13–50.0126%15 Oct →
nuke13–60.0515%15 Oct →
overpass13–30.139%15 Oct →
ancient13–80.0412%13 Oct →
inferno13–20.0313%13 Oct →
overpass13–11-0.027%10 Oct →
ancient13–70.0514%10 Oct →
dust28–13-0.0217%10 Oct →
inferno4–13-0.0810%10 Oct →
nuke16–12-0.0111%10 Oct →
dust29–130.0216%9 Oct →
mirage11–13-0.0511%9 Oct →
mirage13–9-0.0218%9 Oct →
inferno7–130.0220%8 Oct →
inferno13–9-0.016%8 Oct →
nuke5–13-0.029%8 Oct →
dust28–130.0319%30 Sept →
dust27–130.0418%30 Sept →
ancient14–16-0.0015%30 Sept →
ancient13–9-0.018%30 Sept →
dust213–50.0215%23 Sept →
inferno13–40.0113%21 Sept →
mirage13–7-0.016%14 Sept →
overpass12–12-0.0216%13 Sept →
train7–00.1521%13 Sept →
inferno13–5-0.058%13 Sept →
mirage11–130.0119%13 Sept →
nuke13–10-0.019%12 Sept →
dust213–90.0414%12 Sept →
ancient13–110.0112%7 Sept →
mirage5–13-0.0619%7 Sept →
mirage13–9-0.0312%1 Sept →
overpass13–60.0115%1 Sept →
ancient4–13-0.049%1 Sept →
ancient9–13-0.0411%25 Aug →
inferno13–20.027%19 Aug →
ancient13–9-0.0410%19 Aug →

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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