RoadSide Romeo

RoadSide Romeo — CS2 Stats

76561198087473447[U:1:127207719]Steam profile ↗✓ No bans

156Tracked matches57%Win rate2021Tracked since
6,155Hours in CS
CSDB Rating5.4 DevelopingAll-Rounder
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

+22Tracked matches · now 156
+4.1ppWin rate · 52.4% → 56.5%

Rating over time

41Days played since 2021-04-23

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches193——
Win rate41%——
K/D2.40——
Headshot %3%——

Measured 5 Sep 2026 → 8 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.

Performance scores

Aim69
Positioning38
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY29–32–8Last 6942%Win rateWWWWLLLLLT

Last 10 vs previous 10: 0pp win rate · −0.05 avg rating · +1.4pp headshot accuracy · −99ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 577ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 578ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 628ms

Newest first, from the last 69 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.

Aim6.9
Utility3.5
Positioning3.8
Opening Duels2.3
Clutch4.2

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

iM

Plays most like iM 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Reaction time. 675ms 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

Aim6.9
Positioning3.8
Utility3.5
Mechanics7.5
Opening Duels2.1
Win Impact7.2

Composite 5.4/10 (Developing), 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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time611ms−78ms
first ⅓ avg 689ms → last ⅓ avg 611ms
Headshot accuracy16.6%+1.4%
first ⅓ avg 15.2% → last ⅓ avg 16.6%

Rolling 5-match average across the last 69 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.29Best match rating · 9–2 · inferno, 11 Oct →
39%Best headshot accuracy · 9–7 · inferno, 28 Oct →
445msFastest reaction time · 5–9 · inferno, 28 Jan →
13–3Biggest win · dust2, 20 Aug →

Across the last 69 tracked matches.

Highlights

4Longest win streak
W4Current streak
4–2In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 50% over 20overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2010–1050%0.00
infernoC207–1335%-0.01
nukeB168–850%-0.01
mirageD72–529%-0.04
overpassD51–420%-0.06
anubis—11–0100%0.11

Across the last 69 tracked matches.

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

Lifetime stats

240,233Lifetime kills
1.27K/D · Top 25% of tracked players
6,308Matches
43.8%Match win rate
25.2%Headshot %
13.5%Shot accuracy · Top 50% of tracked players
39,973MVPs
6,155Hours (in match)
1,801Bombs planted
4,818Bombs defused

Most-used weapons

Knife116,033
AK-4736,729
AWP18,349
XM10143,739
MAG-72,332
P2501,960

Lifetime map wins

26,404dust2
2,498inferno
1,256nuke
200train
168office
122dust
118aztec
115italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

64Matches
58%Win rate
1.39Avg K/D
86.5ADR
47%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1958%1.2619.6
Dust21856%1.5717.6
Ancient875%1.4714.5
Inferno560%1.3016.2
Anubis560%1.0715.8
Nuke20%1.0018.0
Cache1100%0.7110.0

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.

16.6%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.2%Spray accuracy
83.7%Counter-strafing
7.9°Preaim
675msReaction time
31.0%T opening success
45.7%CT opening success
0.67Enemies flashed / flash
11.0%Flash assists
10.42HE damage / grenade
4.66Flashes / 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 30.9783% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0228%1 Oct →
nuke13–40.0625%30 Sept →
dust213–30.0534%20 Aug →
dust213–40.0220%20 Aug →
dust211–13-0.019%9 Jul →
inferno5–9-0.0926%28 Jan →
nuke3–9-0.1613%28 Jan →
inferno2–9-0.200%27 Jan →
nuke1–9-0.228%27 Jan →
inferno8–8-0.0510%27 Jan →
nuke6–9-0.0218%25 Jan →
nuke4–9-0.0813%25 Jan →
nuke9–60.0315%24 Jan →
inferno1–9-0.1418%24 Jan →
nuke1–9-0.2019%22 Jan →
overpass9–60.1316%21 Jan →
nuke9–00.2112%13 Nov →
inferno8–8-0.0716%13 Nov →
nuke3–9-0.115%31 Oct →
inferno9–00.1528%31 Oct →
inferno2–9-0.220%31 Oct →
inferno9–6-0.0211%29 Oct →
mirage9–6-0.0637%29 Oct →
inferno5–9-0.1424%29 Oct →
dust213–60.0516%29 Oct →
mirage9–13-0.0617%29 Oct →
inferno9–30.0715%29 Oct →
dust211–13-0.0411%28 Oct →
nuke3–9-0.0823%28 Oct →
overpass4–9-0.1314%28 Oct →
inferno9–70.1539%28 Oct →
inferno4–90.0521%11 Oct →
nuke3–9-0.1415%11 Oct →
nuke9–40.1526%11 Oct →
inferno9–20.2933%11 Oct →
inferno8–80.1417%11 Oct →
inferno9–30.1326%6 Aug →
overpass4–9-0.1323%31 Jul →
nuke9–40.1423%28 Apr →
mirage13–16-0.0315%12 Apr →
inferno3–9-0.1013%5 Apr →
nuke9–10.2911%29 Mar →
inferno9–50.0715%29 Mar →
dust213–100.0320%19 Feb →
nuke13–60.0313%19 Feb →
inferno4–9-0.1512%3 Feb →
inferno6–9-0.0525%20 Dec →
overpass3–9-0.1210%20 Dec →
nuke9–6-0.0513%20 Dec →
inferno8–8-0.0216%19 Dec →
mirage5–13-0.0219%2 May →
overpass4–13-0.0515%25 Nov →
mirage9–13-0.0015%2 Sept →
dust29–7-0.0520%1 Sept →
dust29–70.0214%22 Jul →
dust21–9-0.1114%28 Mar →
dust29–7-0.0314%27 Mar →
dust28–8-0.0519%22 Mar →
dust28–80.0312%22 Mar →
dust28–8-0.0311%19 Mar →
dust29–4-0.0228%19 Mar →
dust23–90.0321%16 Mar →
dust23–9-0.028%14 Mar →
dust26–90.0511%13 Mar →
dust28–80.0019%13 Mar →
dust29–20.1214%9 Mar →
anubis9–30.1113%24 Nov →
mirage3–16-0.086%27 Jul →
mirage16–90.0012%23 Apr →

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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