Ronnoc

Ronnoc — CS2 Stats

US76561198198140718[U:1:237874990]Steam profile ↗

471Tracked matches72%Win rate2020Tracked since
CSDB Rating6.0 SolidAll-Rounder
Premier CS Rating20,502Top 50% of 205,416 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#74302 of 252733 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 May 2026 (159 days ago). 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: 20,502 +6,598 10 Jan – 12 May · 19 days played
13,90420,502peak 20,50210 Jan12 May
20,502Peak Premier in tracked matches
1,632Highest Faceit ELO seen on CSDB
38Days played since 2026-01-10

Faceit ELO

  • At peak — 1,632
  • Next: Level 9 at 1,751 — 119 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • At peak — 20,502
  • +3,610 over 30 days · improving
  • +3,118 over 90 days
  • Next: Red band at 25,000 — 4,498 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGRonnocPREMIER20,502 · Pink bandPEAK ELO1,632csdb.gg/stats

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Performance scores

Aim71
Positioning46
Utility36

0–100 skill scores via Leetify.

Recent form

HOT62–34–4Last 10062%Win rateWWTWWWWLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +3.2pp headshot accuracy · +14ms reaction

Win rate 0pp 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 655ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 605ms

Last 20

  • 16–3–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 598ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.1
Utility3.6
Positioning4.6
Opening Duels3.5
Clutch3.8

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

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim 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

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. 606ms 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

Aim7.1
Positioning4.6
Utility3.6
Mechanics6.8
Opening Duels2.4
Win Impact10.0

Composite 6.0/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time608ms+15ms
first ⅓ avg 592ms → last ⅓ avg 608ms
Headshot accuracy20.0%+1.4%
first ⅓ avg 18.6% → last ⅓ avg 20.0%

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

0.18Best match rating · 13–3 · ancient, 25 Jan →
41%Best headshot accuracy · 4–13 · inferno, 20 Feb →
430msFastest reaction time · 16–12 · inferno, 18 Feb →
13–0Biggest win · ancient, 7 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
8–2In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 86% over 7dust2Weakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
ancientA2615–1158%-0.01
dust2C187–1139%0.01
infernoS1511–473%0.01
mirageA127–558%-0.00
anubisS129–375%0.04
nukeS96–367%-0.03
overpassS76–186%0.01
vertigo—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

234Matches
54%Win rate
1.16Avg K/D
84.7ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4353%1.1416.9
Ancient4055%1.1116.3
Inferno3855%1.4515.6
Dust23653%1.0116.4
Nuke1974%1.1917.1
Anubis1553%1.3217.7
Overpass1030%1.0315.6
Train520%1.3117.8

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.

20.3%Headshot accuracy
38.6%Accuracy (enemy spotted)
36.1%Spray accuracy
80.7%Counter-strafing
11.6°Preaim
606msReaction time
37.9%T opening success
41.3%CT opening success
0.34Enemies flashed / flash
6.1%Flash assists
11.98HE damage / grenade
2.55Flashes / 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 0.3381 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 37.9079% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.0117%12 May →
mirage13–100.0224%6 May →
mirage15–15-0.0119%29 Apr →
overpass13–110.0121%28 Apr →
nuke13–10-0.0237%28 Apr →
mirage13–50.0318%28 Apr →
anubis13–70.1019%28 Apr →
anubis9–130.0414%27 Apr →
ancient13–80.0124%27 Apr →
ancient13–9-0.0318%27 Apr →
dust213–80.0623%26 Apr →
overpass13–10-0.0114%26 Apr →
inferno13–40.0814%26 Apr →
ancient13–70.0120%26 Apr →
overpass9–130.0321%26 Apr →
ancient10–13-0.0221%25 Apr →
ancient13–110.0613%25 Apr →
mirage13–40.0415%25 Apr →
dust213–70.0921%24 Apr →
overpass13–50.0317%24 Apr →
inferno13–60.0221%24 Apr →
ancient6–130.0124%24 Apr →
inferno13–110.0426%24 Apr →
dust211–13-0.0121%24 Apr →
ancient13–4-0.0226%22 Apr →
inferno11–13-0.0417%22 Apr →
ancient7–13-0.0321%22 Apr →
ancient13–50.039%22 Apr →
nuke2–8-0.0918%22 Apr →
anubis13–80.0631%21 Apr →
dust210–13-0.0313%20 Apr →
dust213–10.1426%18 Apr →
vertigo13–70.0616%18 Apr →
inferno13–60.1229%18 Apr →
dust213–60.0531%12 Apr →
dust210–13-0.0118%12 Apr →
nuke13–10-0.0720%12 Apr →
dust212–160.0523%11 Apr →
ancient8–13-0.0133%3 Apr →
nuke9–13-0.0124%31 Mar →
ancient9–13-0.0116%31 Mar →
mirage6–13-0.0221%31 Mar →
dust28–13-0.100%23 Feb →
ancient16–14-0.0619%23 Feb →
nuke13–100.0124%22 Feb →
dust213–8-0.080%22 Feb →
inferno13–110.0015%22 Feb →
ancient13–9-0.0612%22 Feb →
overpass13–9-0.037%22 Feb →
mirage10–13-0.0139%22 Feb →
ancient5–13-0.0822%22 Feb →
dust213–30.0419%22 Feb →
anubis6–13-0.0118%22 Feb →
inferno13–40.0222%22 Feb →
ancient13–10-0.039%20 Feb →
anubis13–30.0217%20 Feb →
inferno4–13-0.0341%20 Feb →
dust24–13-0.0319%20 Feb →
ancient16–19-0.0526%20 Feb →
inferno13–7-0.014%19 Feb →
inferno16–12-0.0113%18 Feb →
ancient13–8-0.049%17 Feb →
ancient7–13-0.0420%13 Feb →
nuke13–10-0.0127%12 Feb →
nuke7–13-0.107%12 Feb →
overpass13–5-0.0117%12 Feb →
ancient16–140.0019%12 Feb →
dust27–13-0.0416%12 Feb →
mirage13–11-0.048%11 Feb →
inferno6–13-0.0422%7 Feb →
ancient13–00.0627%7 Feb →
inferno13–10-0.0221%7 Feb →
mirage4–13-0.0917%4 Feb →
dust213–60.0024%4 Feb →
mirage16–140.0221%4 Feb →
inferno13–50.0219%4 Feb →
ancient13–3-0.0114%4 Feb →
anubis16–13-0.0213%4 Feb →
dust29–13-0.0015%2 Feb →
overpass9–20.0314%2 Feb →
mirage16–13-0.0024%2 Feb →
anubis13–5-0.0213%30 Jan →
ancient15–150.0119%28 Jan →
mirage5–130.0124%28 Jan →
dust28–13-0.0410%28 Jan →
anubis13–20.1010%25 Jan →
inferno13–80.0111%25 Jan →
ancient13–30.1818%25 Jan →
anubis13–40.0715%25 Jan →
ancient13–4-0.0228%25 Jan →
ancient9–13-0.0131%23 Jan →
dust215–150.0730%22 Jan →
anubis6–13-0.059%22 Jan →
anubis13–50.1230%22 Jan →
anubis13–10.0228%21 Jan →
nuke13–7-0.0313%16 Jan →
ancient4–13-0.0315%13 Jan →
inferno15–150.0519%11 Jan →
dust25–130.0615%10 Jan →
mirage13–100.0123%10 Jan →

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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