R0meo_

R0meo_ — CS2 Stats

US76561198012998362[U:1:52732634]Steam profile ↗✓ No bans

212Tracked matches36%Win rate2022Tracked since
1,116Hours in CS7Hrs last 2 wks
CSDB Rating2.8 LearningSupport
Premier CS Rating8,926Light Blue band · top ~60% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 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: 8,926 +296 27 Jul – 14 Oct · 17 days played
8,1809,999peak 9,99927 Jul14 Oct
9,999Peak Premier in tracked matches
34Days played since 2026-07-20

Premier CS Rating

  • 1,073 below peak (9,999)
  • +177 over 30 days · steady
  • +296 over 90 days
  • Next: Blue band at 10,000 — 1,074 to go
  • Reached: Light Blue band

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate52.7%39.9%42.0%above
Shot accuracy17.7%7.0%9.6%above
Kill/death ratio1.410.920.98above
Match win rate40.7%42.3%43.8%3.1% short

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGR0meo_PREMIER8,926 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning34
Utility45

0–100 skill scores via Leetify.

Recent form

COLD37–53–10Last 10037%Win rateTWLLLWLWLT

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −4.3pp headshot accuracy · −29ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 9%
  • Avg reaction 498ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 562ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 576ms

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).

Aim3.4
Utility4.5
Positioning3.4
Opening Duels0.0
Clutch2.8

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

ZywOo

Plays most like ZywOo 76% 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. 601ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.4
Positioning3.4
Utility4.5
Mechanics4.4
Opening Duels0.0
Win Impact0.3

Composite 2.8/10 (Learning), 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 rating-0.06−0.03
first ⅓ avg -0.03 → last ⅓ avg -0.06
Reaction time601ms+2ms
first ⅓ avg 599ms → last ⅓ avg 601ms
Headshot accuracy12.9%−1.3%
first ⅓ avg 14.2% → last ⅓ avg 12.9%

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 · 13–8 · inferno, 21 Jul →
29%Best headshot accuracy · 5–13 · dust2, 2 Aug →
297msFastest reaction time · 1–13 · anubis, 4 Oct →
13–1Biggest win · dust2, 22 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 47% over 17ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2410–1442%-0.05
mirageB2210–1245%-0.04
infernoB178–947%-0.03
nukeD154–1127%-0.05
ancientD102–820%-0.05
cacheD102–820%-0.06
anubis—10–10%-0.08
vertigo—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,763Lifetime kills
1.41K/D · Top 5% of Light Blue band
1,937Matches
40.7%Match win rate
52.7%Headshot % · Top 10% of Light Blue band
17.7%Shot accuracy · Top 5% of Light Blue band
2,398MVPs
599Hours (in match)
947Bombs planted
223Bombs defused

Most-used weapons

AWP4,264
AK-474,000
AUG1,849
P901,821
M2491,575

Lifetime map wins

5,533dust2
1,078inferno
952nuke
258office
157assault
125cbble
104militia
99vertigo

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

Faceit stats

Combat

43Matches
35%Win rate
0.71Avg K/D
58.5ADR
31%Headshot %

Clutches & streaks

34%1v1 clutch win
10%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1010%0.5810.3
Dust21040%0.739.8
Cache956%0.8510.0
Nuke425%0.9213.0
Ancient450%0.6112.3
Inferno450%0.6910.8
Overpass10%0.417.0
Anubis10%0.547.0

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.

13.3%Headshot accuracy
27.6%Accuracy (enemy spotted)
30.1%Spray accuracy
69.7%Counter-strafing
10.8°Preaim
601msReaction time
28.0%T opening success
20.5%CT opening success
0.61Enemies flashed / flash
7.0%Flash assists
7.56HE damage / grenade
4.91Flashes / 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 13.2797% — below the 15% mark we flag

    Aim Training →
  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 27.9533% — below the 40% mark we flag

Spend your practice time on Ancient

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 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient12–12-0.087%15 Oct →
dust213–3-0.088%15 Oct →
ancient4–13-0.1023%14 Oct →
mirage3–13-0.056%14 Oct →
anubis1–13-0.080%4 Oct →
nuke13–11-0.0812%4 Oct →
mirage14–16-0.0416%4 Oct →
mirage13–9-0.0115%4 Oct →
dust211–13-0.098%1 Oct →
cache12–12-0.068%25 Sept →
dust211–13-0.0523%25 Sept →
ancient2–13-0.0714%23 Sept →
mirage13–8-0.0420%23 Sept →
dust23–13-0.0521%23 Sept →
dust25–13-0.108%13 Sept →
inferno13–100.0013%11 Sept →
dust28–13-0.0817%11 Sept →
nuke13–4-0.0312%10 Sept →
dust212–12-0.039%9 Sept →
cache8–13-0.0510%9 Sept →
mirage13–6-0.0412%9 Sept →
cache12–12-0.0121%31 Aug →
dust213–6-0.0311%31 Aug →
cache12–12-0.1311%29 Aug →
vertigo13–8-0.0319%29 Aug →
ancient7–13-0.0617%29 Aug →
dust26–13-0.1114%29 Aug →
mirage13–16-0.019%18 Aug →
mirage11–13-0.0713%17 Aug →
nuke9–13-0.0818%17 Aug →
dust211–13-0.0817%16 Aug →
cache2–13-0.087%16 Aug →
cache13–11-0.089%11 Aug →
nuke8–13-0.0624%11 Aug →
mirage14–16-0.067%6 Aug →
ancient4–13-0.0819%6 Aug →
ancient9–13-0.043%5 Aug →
inferno15–15-0.065%5 Aug →
inferno9–13-0.0825%5 Aug →
nuke15–15-0.0810%4 Aug →
inferno11–13-0.058%3 Aug →
mirage3–13-0.1019%3 Aug →
dust213–6-0.1010%3 Aug →
dust213–8-0.019%2 Aug →
inferno8–13-0.0412%2 Aug →
mirage7–13-0.0719%2 Aug →
dust25–13-0.0629%2 Aug →
ancient10–13-0.0714%2 Aug →
mirage13–4-0.0221%1 Aug →
dust213–9-0.0017%1 Aug →
dust29–13-0.0312%1 Aug →
mirage13–11-0.0614%31 Jul →
mirage5–13-0.0412%31 Jul →
mirage6–13-0.0813%31 Jul →
inferno13–70.0112%31 Jul →
ancient13–40.065%31 Jul →
dust213–5-0.0419%30 Jul →
inferno15–15-0.0118%30 Jul →
nuke13–9-0.049%30 Jul →
inferno13–11-0.0811%30 Jul →
nuke11–13-0.0317%29 Jul →
inferno1–10-0.055%29 Jul →
ancient8–13-0.049%28 Jul →
cache4–13-0.0112%28 Jul →
nuke8–13-0.0211%28 Jul →
ancient13–9-0.067%28 Jul →
mirage7–13-0.0715%28 Jul →
inferno13–11-0.0316%27 Jul →
nuke7–13-0.0412%27 Jul →
cache10–20.0118%27 Jul →
dust213–6-0.0618%27 Jul →
inferno13–9-0.0515%26 Jul →
dust28–13-0.079%26 Jul →
nuke10–13-0.0421%26 Jul →
mirage13–11-0.0410%26 Jul →
dust210–13-0.0618%26 Jul →
mirage10–13-0.0119%25 Jul →
nuke12–12-0.069%25 Jul →
cache10–13-0.0811%25 Jul →
mirage9–13-0.005%24 Jul →
mirage13–50.0011%23 Jul →
nuke6–13-0.0615%23 Jul →
dust213–7-0.0514%23 Jul →
inferno10–13-0.068%23 Jul →
mirage13–110.0516%22 Jul →
dust213–10.0326%22 Jul →
dust25–13-0.0513%22 Jul →
nuke13–11-0.0715%22 Jul →
dust28–10.0115%22 Jul →
inferno6–13-0.105%22 Jul →
mirage13–3-0.0111%22 Jul →
inferno13–80.1116%21 Jul →
nuke15–15-0.0610%21 Jul →
inferno9–13-0.0311%21 Jul →
cache1–13-0.0612%21 Jul →
dust29–13-0.0320%21 Jul →
nuke11–13-0.0215%20 Jul →
inferno13–60.0716%20 Jul →
inferno13–60.0128%20 Jul →
mirage16–14-0.0811%20 Jul →

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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