r0m

r0m — CS2 Stats

FI76561198451518952[U:1:491253224]Steam profile ↗✓ No bans

3,956Tracked matches47%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
FaceitLevel 9 · 1,532 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,532 → 1,532
+9Tracked matches · now 3,956
0.0ppWin rate · 46.7% → 46.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 48 days played since 24 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,267 -4,005 24 Mar16 Jun · 18 days played
16,75721,272peak 21,27224 Mar16 Jun
21,844Peak Premier in tracked matches
1,532Highest Faceit ELO seen on CSDB
48Days played since 2026-03-24

Faceit ELO

  • At peak — 1,532
  • Next: Level 9 at 1,751 219 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-14
  • Level 7 first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGr0mFACEITLevel 9 · 1,532 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,532csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73
Positioning55
Utility65

0–100 skill scores via Leetify.

Recent form

COLD44542Last 10044%Win rateLLWLLLWLLW

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −1.0pp headshot accuracy · −4ms reaction

Win rate down 30pp 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 586ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 584ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim7.3
Utility6.5
Positioning5.5
Opening Duels2.3
Clutch3.0

Effective flashes

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 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim7.3
Positioning5.5
Utility6.5
Mechanics6.3
Opening Duels1.8
Win Impact3.9

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time616ms−13ms
first ⅓ avg 629ms → last ⅓ avg 616ms
Headshot accuracy19.9%+2.6%
first ⅓ avg 17.2% → last ⅓ avg 19.9%

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

0.10Best match rating · 13–5 · inferno, 28 Mar
36%Best headshot accuracy · 8–13 · inferno, 1 Sept
469msFastest reaction time · 13–5 · overpass, 27 Mar
13–3Biggest win · nuke, 12 May

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
94In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 75% over 8ancientWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
ancientD1951426%-0.03
nukeB178947%-0.01
infernoC1761135%0.02
anubisC114736%-0.01
overpassB115645%-0.03
mirageS86275%-0.02
dust2A85363%-0.03
cacheC73443%-0.01
vertigo110100%-0.00
train110100%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,858Matches
52%Win rate
0.98Avg K/D
73.3ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient24756%0.9714.4
Inferno20547%0.9614.1
Mirage19458%0.9214.5
Anubis17550%0.9614.6
Dust213949%0.9213.5
Nuke11452%0.9314.7
Overpass6261%0.9614.8
Vertigo5547%0.9915.5

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.

19.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
42.5%Spray accuracy
78.5%Counter-strafing
10.6°Preaim
612msReaction time
27.9%T opening success
44.4%CT opening success
0.80Enemies flashed / flash
4.4%Flash assists
10.01HE damage / grenade
10.11Flashes / 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 27.9251% — 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.

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–130.0020%13 Sept
nuke7–13-0.0222%9 Sept
mirage13–40.0417%7 Sept
nuke9–13-0.077%3 Sept
inferno7–13-0.0418%3 Sept
nuke11–13-0.0424%1 Sept
anubis13–70.0713%1 Sept
cache6–13-0.0613%1 Sept
inferno8–130.1036%1 Sept
vertigo16–14-0.0017%31 Aug
mirage9–13-0.0311%25 Aug
mirage13–10-0.0514%23 Aug
nuke13–100.0817%23 Aug
anubis10–13-0.0120%21 Aug
dust210–2-0.0527%21 Aug
inferno13–60.0619%21 Aug
cache13–70.0624%21 Aug
cache7–13-0.0216%20 Aug
ancient6–13-0.0516%19 Aug
anubis13–4-0.0232%18 Aug
ancient13–90.0417%18 Aug
inferno13–110.0417%8 Aug
nuke11–130.0320%8 Aug
anubis8–13-0.0123%8 Aug
nuke13–110.0320%7 Aug
anubis13–110.0010%7 Aug
inferno9–130.0033%7 Aug
ancient16–140.0020%6 Aug
nuke9–13-0.0634%6 Aug
anubis9–13-0.0726%5 Aug
inferno13–11-0.0119%5 Aug
ancient4–13-0.1013%5 Aug
dust27–13-0.0320%6 Jul
ancient8–130.0111%6 Jul
nuke13–11-0.0121%16 Jun
anubis8–13-0.0327%16 Jun
overpass13–7-0.0430%16 Jun
train13–100.0829%12 Jun
cache6–13-0.0136%12 Jun
ancient13–7-0.038%12 Jun
inferno15–15-0.0624%3 Jun
overpass9–13-0.118%28 May
inferno10–130.0219%28 May
nuke8–13-0.038%22 May
ancient13–6-0.009%22 May
ancient5–13-0.0314%21 May
anubis13–16-0.0211%21 May
mirage13–80.0217%21 May
ancient3–13-0.1319%20 May
nuke10–13-0.0225%20 May
nuke13–9-0.0323%20 May
ancient13–16-0.077%19 May
overpass9–13-0.0024%19 May
dust213–4-0.0417%18 May
dust210–13-0.0821%16 May
nuke7–130.0023%15 May
inferno13–90.019%15 May
cache13–10-0.0521%15 May
ancient6–13-0.0222%12 May
nuke13–30.0329%12 May
inferno11–130.0623%12 May
anubis8–13-0.0114%12 May
nuke4–13-0.0514%10 May
inferno15–150.0221%9 May
overpass13–7-0.0420%9 May
ancient7–13-0.0215%4 May
dust213–110.0014%4 May
mirage3–13-0.0113%30 Apr
inferno10–130.0018%30 Apr
cache13–10-0.0113%30 Apr
anubis13–30.0514%30 Apr
cache7–13-0.0018%29 Apr
ancient4–130.0113%28 Apr
inferno9–13-0.0215%25 Apr
inferno9–13-0.018%21 Apr
ancient13–3-0.049%10 Apr
ancient8–13-0.068%10 Apr
mirage13–6-0.0518%8 Apr
inferno13–100.0413%8 Apr
nuke13–90.0313%5 Apr
overpass10–130.0215%5 Apr
mirage13–8-0.0326%4 Apr
ancient6–13-0.0519%4 Apr
overpass13–8-0.0313%4 Apr
nuke13–60.0019%4 Apr
overpass9–13-0.0315%3 Apr
ancient11–13-0.0319%2 Apr
anubis8–13-0.0517%2 Apr
overpass9–13-0.0231%2 Apr
dust213–90.0318%1 Apr
dust213–11-0.0216%1 Apr
inferno8–13-0.0330%31 Mar
overpass13–70.0014%31 Mar
mirage13–10-0.0517%28 Mar
inferno13–50.1036%28 Mar
nuke16–12-0.0412%27 Mar
overpass13–5-0.0122%27 Mar
dust27–13-0.0431%27 Mar
ancient10–13-0.0716%24 Mar
overpass3–13-0.0312%24 Mar

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 →