Romano

Romano — CS2 Stats

BR76561197992964491[U:1:32698763]Steam profile ↗✓ No bans

691Tracked matches50%Win rate2020Tracked since
CSDB Rating7.8 StrongPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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CSDB.GGRomanoFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim94
Positioning73
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY4654Last 10046%Win rateLLLWWLWLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · −23ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 548ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 542ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 554ms

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 PlayerPositioning stands above the rest of this profile (+2.1 against its own average).

Aim9.4
Utility6.4
Positioning7.3
Opening Duels7.2
Clutch0.0

Sharp aimerExcellent counter-strafing

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 93% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 50% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms 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

Aim9.4
Positioning7.3
Utility6.4
Mechanics9.2
Opening Duels7.0
Win Impact5.0

Composite 7.8/10 (Strong), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time553ms−74ms
first ⅓ avg 627ms → last ⅓ avg 553ms
Headshot accuracy26.5%+3.8%
first ⅓ avg 22.7% → last ⅓ avg 26.5%

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

0.14Best match rating · 13–1 · inferno, 18 Sept
48%Best headshot accuracy · 6–13 · dust2, 6 Sept
406msFastest reaction time · 13–8 · inferno, 13 Sept
13–1Biggest win · inferno, 18 Sept

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
69In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 60% over 10mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC36152142%0.01
dust2B25131252%0.01
mirageD123925%-0.00
anubisA106460%0.02
nukeC94544%-0.00
ancientA74357%0.02
overpass110100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

77Matches
51%Win rate
0.86Avg K/D
85.2ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.5411.5
Inferno250%1.1315.0
Ancient1100%1.177.0
Dust210%0.9518.0
Anubis1100%1.2918.0

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.

25.2%Headshot accuracy
39.5%Accuracy (enemy spotted)
39.6%Spray accuracy
91.5%Counter-strafing
7.2°Preaim
553msReaction time
50.2%T opening success
66.2%CT opening success
0.65Enemies flashed / flash
10.2%Flash assists
10.13HE damage / grenade
9.03Flashes / match

Recommended for you

Spend your practice time on Mirage

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–16-0.0121%22 Sept
anubis6–13-0.0335%21 Sept
inferno7–13-0.0521%21 Sept
ancient13–4-0.0230%18 Sept
inferno13–50.0137%18 Sept
anubis11–130.0533%18 Sept
inferno13–10.1426%18 Sept
dust25–13-0.0218%17 Sept
inferno8–13-0.039%15 Sept
dust216–140.0034%15 Sept
inferno13–80.0519%13 Sept
dust25–13-0.0229%13 Sept
inferno13–9-0.0215%11 Sept
anubis13–60.0721%11 Sept
inferno7–13-0.0130%11 Sept
dust213–60.0938%11 Sept
inferno7–13-0.0524%10 Sept
mirage13–100.0418%10 Sept
inferno14–160.0120%10 Sept
mirage13–60.0532%10 Sept
dust213–90.0526%10 Sept
inferno6–13-0.0515%10 Sept
dust26–13-0.0248%6 Sept
inferno13–90.0516%6 Sept
mirage9–13-0.0311%3 Sept
inferno13–8-0.0137%3 Sept
nuke5–130.0218%2 Sept
inferno16–14-0.0126%2 Sept
anubis13–60.0228%2 Sept
inferno9–13-0.0130%27 Aug
ancient13–40.0943%27 Aug
dust213–100.0135%27 Aug
mirage10–13-0.0134%25 Aug
dust213–70.0429%25 Aug
inferno11–130.0125%25 Aug
dust213–60.0942%22 Aug
ancient7–130.0435%22 Aug
inferno16–140.0827%21 Aug
nuke13–90.0620%21 Aug
inferno11–130.0121%20 Aug
anubis13–100.0440%20 Aug
mirage10–13-0.0313%20 Aug
nuke13–80.0131%18 Aug
dust210–130.0117%17 Aug
anubis9–13-0.0422%17 Aug
dust213–60.0236%17 Aug
nuke6–13-0.0310%16 Aug
dust26–13-0.0039%16 Aug
ancient14–16-0.0125%14 Aug
inferno13–100.0830%13 Aug
mirage14–160.0118%13 Aug
dust22–13-0.0215%13 Aug
inferno16–120.0631%13 Aug
inferno8–13-0.0424%11 Aug
dust210–13-0.0036%11 Aug
inferno16–13-0.0120%11 Aug
ancient19–22-0.0322%10 Aug
nuke13–10-0.0211%10 Aug
inferno11–130.0515%10 Aug
dust213–80.0418%10 Aug
dust21–13-0.0517%9 Aug
dust29–13-0.0328%4 Aug
inferno11–130.0625%2 Aug
anubis13–100.1029%2 Aug
inferno13–110.0719%1 Aug
mirage6–130.0320%1 Aug
dust213–10-0.0726%31 Jul
ancient12–7-0.0316%30 Jul
mirage6–13-0.0827%30 Jul
mirage19–220.0017%28 Jul
inferno4–13-0.0628%27 Jul
inferno14–16-0.0327%27 Jul
nuke12–160.0030%27 Jul
inferno13–90.0541%26 Jul
mirage7–13-0.0113%23 Jul
inferno13–110.0132%23 Jul
ancient13–90.0934%23 Jul
nuke6–13-0.0222%23 Jul
nuke9–13-0.0615%22 Jul
anubis7–13-0.0612%21 Jul
dust213–70.0623%21 Jul
nuke13–50.019%21 Jul
dust213–70.0010%21 Jul
inferno5–13-0.0611%21 Jul
inferno16–19-0.0420%21 Jul
dust213–30.0341%20 Jul
anubis13–100.0426%16 Jul
inferno7–13-0.0323%16 Jul
mirage3–13-0.0221%15 Jul
inferno3–13-0.0612%15 Jul
inferno5–130.0330%15 Jul
dust28–13-0.0331%14 Jul
overpass13–11-0.0219%13 Jul
dust213–80.0427%13 Jul
inferno8–130.0632%13 Jul
mirage13–100.0325%12 Jul
anubis13–50.0419%10 Jul
dust29–13-0.0120%9 Jul
inferno13–80.0615%9 Jul
inferno4–13-0.0017%9 Jul

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →