Romkie

Romkie — CS2 Stats

76561198110212223[U:1:149946495]Steam profile ↗✓ No bans

1,057Tracked matches37%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,057 tracked matches. Play, then come back: the next observation lands here.

Rating over time

46Days played since 2023-04-22

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

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CSDB.GGRomkieFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning54
Utility10

0–100 skill scores via Leetify.

Recent form

COLD42–58Last 10042%Win rateLLLLLLWLLL

Last 10 vs previous 10: −50pp win rate · +0.00 avg rating · −2.2pp headshot accuracy · +42ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 619ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 590ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 569ms

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: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim7.4
Utility1.0
Positioning5.4
Opening Duels3.7
Clutch1.8

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

donk

Plays most like donk 80% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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.

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim7.4
Positioning5.4
Utility1.0
Mechanics7.5
Opening Duels1.7
Win Impact0.6

Composite 4.8/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time571ms+70ms
first ⅓ avg 501ms → last ⅓ avg 571ms
Headshot accuracy26.3%+5.1%
first ⅓ avg 21.2% → last ⅓ avg 26.3%

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

0.09Best match rating · 16–11 · anubis, 26 Apr →
52%Best headshot accuracy · 9–13 · mirage, 20 Oct →
375msFastest reaction time · 11–13 · vertigo, 3 Nov →
16–4Biggest win · ancient, 30 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
9–11In matches decided by ≤2 rounds
44Overtime games

Map breakdown

vertigoBest map · 63% over 8trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
anubisB2412–1250%-0.01
infernoD195–1426%0.01
ancientC156–940%-0.02
mirageC145–936%-0.01
overpassA127–558%-0.00
vertigoA85–363%-0.03
trainD51–420%-0.05
nuke—21–150%-0.02
dust2—10–10%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

2,072Matches
51%Win rate
1.17Avg K/D
61.6ADR
43%Headshot %

Clutches & streaks

29%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2938%0.8212.4
Mirage2040%0.8513.3
Inferno1839%0.7812.9
Ancient1323%0.6611.0
Nuke1020%0.7411.1
Vertigo743%0.8012.9
Train617%0.6610.5
Dust2425%0.568.3

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.

25.7%Headshot accuracy
31.4%Accuracy (enemy spotted)
36.5%Spray accuracy
83.6%Counter-strafing
11.0°Preaim
577msReaction time
26.1%T opening success
43.4%CT opening success
0.32Enemies flashed / flash
4.0%Flash assists
5.86HE damage / grenade
3.05Flashes / 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 0.3183 — 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 26.1291% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0029%27 Nov →
mirage2–13-0.0327%17 Nov →
ancient4–13-0.0417%17 Nov →
anubis8–13-0.0124%11 May →
train10–13-0.1119%11 May →
inferno6–130.0136%11 May →
mirage13–9-0.127%4 May →
mirage14–16-0.0025%18 Apr →
train6–130.0029%18 Apr →
anubis14–160.0426%18 Apr →
ancient19–16-0.0420%15 Apr →
train5–13-0.0646%15 Apr →
anubis13–5-0.0331%15 Apr →
train13–10-0.0539%15 Apr →
anubis13–8-0.0123%13 Apr →
mirage13–70.0013%13 Apr →
mirage13–50.0236%13 Apr →
train8–13-0.0617%11 Apr →
anubis14–16-0.0318%11 Apr →
mirage9–13-0.0217%11 Apr →
anubis13–80.0147%6 Apr →
anubis16–140.0225%5 Feb →
anubis11–13-0.0433%3 Feb →
ancient4–13-0.0517%27 Jan →
vertigo13–110.0117%15 Dec →
inferno12–160.0218%15 Dec →
anubis7–13-0.0338%15 Dec →
anubis10–13-0.0429%24 Nov →
vertigo4–13-0.0624%24 Nov →
anubis13–50.0641%3 Nov →
vertigo11–13-0.0323%3 Nov →
anubis13–30.0821%27 Oct →
vertigo13–70.0737%27 Oct →
anubis10–13-0.0131%20 Oct →
inferno10–13-0.0713%20 Oct →
mirage9–130.0252%20 Oct →
anubis10–13-0.0131%13 Oct →
anubis4–13-0.0920%22 Aug →
anubis13–6-0.0625%20 Aug →
inferno16–13-0.0344%20 Aug →
vertigo13–11-0.0324%20 Aug →
nuke11–130.0424%20 Aug →
inferno13–11-0.0418%20 Aug →
ancient11–13-0.0630%20 Aug →
nuke13–9-0.0747%19 Aug →
anubis13–10-0.0521%17 Aug →
anubis4–13-0.0322%17 Aug →
inferno8–130.0138%17 Aug →
mirage13–11-0.0019%17 Aug →
inferno9–13-0.0123%17 Aug →
mirage13–100.0019%15 Aug →
inferno13–8-0.0015%15 Aug →
ancient8–13-0.1424%15 Aug →
ancient9–13-0.0532%15 Aug →
anubis11–13-0.0431%15 Aug →
ancient13–100.0137%12 Aug →
inferno13–30.0822%11 Aug →
mirage5–130.0133%11 Aug →
vertigo10–13-0.104%10 Aug →
dust25–13-0.0126%22 Jul →
vertigo13–6-0.0625%17 Jul →
vertigo13–7-0.0521%2 Mar →
ancient22–200.0017%14 Jun →
overpass6–16-0.088%14 Jun →
overpass4–16-0.0029%14 Jun →
ancient16–120.0223%13 Jun →
overpass16–14-0.0131%13 Jun →
anubis12–16-0.0216%10 Jun →
overpass6–16-0.0812%8 Jun →
overpass16–90.0613%8 Jun →
inferno10–16-0.0318%7 Jun →
overpass16–90.0437%7 Jun →
anubis16–130.0217%7 Jun →
ancient12–16-0.0317%6 Jun →
inferno7–90.0822%6 Jun →
inferno9–160.0127%6 Jun →
overpass16–130.0322%4 Jun →
ancient5–16-0.0821%4 Jun →
inferno18–22-0.0234%31 May →
inferno14–160.0715%31 May →
overpass13–160.0125%21 May →
anubis16–120.0331%21 May →
inferno12–16-0.0215%20 May →
overpass19–160.0219%20 May →
ancient16–90.0126%20 May →
inferno16–13-0.0113%17 May →
mirage12–160.0127%17 May →
ancient16–40.0813%30 Apr →
mirage13–160.0034%30 Apr →
inferno7–160.0521%29 Apr →
anubis16–80.0018%26 Apr →
mirage11–160.0114%26 Apr →
ancient6–16-0.0118%26 Apr →
anubis16–110.0926%26 Apr →
mirage14–16-0.0619%25 Apr →
overpass22–200.0315%25 Apr →
inferno13–160.0118%23 Apr →
overpass16–140.0535%23 Apr →
overpass3–16-0.1017%22 Apr →
ancient16–190.0024%22 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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