Umberto

Umberto — CS2 Stats

76561198238838870[U:1:278573142]Steam profile ↗✓ No bans

2,928Tracked matches45%Win rate2020Tracked since
6,000Hours in CS13Hrs last 2 wks
CSDB Rating5.0 DevelopingAll-Rounder
FaceitLevel 9 · 1,829 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,829 → 1,829
+10Tracked matches · now 2,928
−12.3ppWin rate · 57.1% → 44.8%
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. 33 days played since 9 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

1,829Highest Faceit ELO seen on CSDB
33Days played since 2026-07-09

Faceit ELO

  • At peak — 1,829
  • Next: Level 10 at 2,001 172 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-10
  • Level 8 first seen 2026-09-10

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches1413+1
Win rate14%38%−24pp
K/D0.981.02−0.04
Headshot %42%48%−7pp

Measured 11 Sep 202618 Sep 2026; previous 6 Sep 2026 → 11 Sep 2026.

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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=12,915), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate39.9%48.3%51.0%11.1% short
Shot accuracy13.5%13.2%13.7%meets
Kill/death ratio0.901.071.090.18 short
Match win rate43.5%46.9%48.4%4.9% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGUmbertoFACEITLevel 9 · 1,829 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,829csdb.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

Aim85
Positioning37
Utility30

0–100 skill scores via Leetify.

Recent form

COLD45487Last 10045%Win rateLLLWWLLLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +3.6pp headshot accuracy · +106ms 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 25%
  • Avg reaction 636ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 629ms

Last 20

  • 812 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • 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: All-RounderNo style dimension stands clear of the others in this profile.

Aim8.5
Utility3.0
Positioning3.7
Opening Duels2.3
Clutch3.0

Sharp aimerLimited 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

ropz

Plays most like ropz 80% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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 48 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. 560ms 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

Aim8.5
Positioning3.7
Utility3.0
Mechanics6.8
Opening Duels1.4
Win Impact3.3

Composite 5.0/10 (Developing), 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 -0.00 → last ⅓ avg -0.01
Reaction time567ms−26ms
first ⅓ avg 593ms → last ⅓ avg 567ms
Headshot accuracy19.4%+3.3%
first ⅓ avg 16.1% → last ⅓ avg 19.4%

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

0.44Best match rating · 9–1 · vertigo, 24 Aug
60%Best headshot accuracy · 0–4 · mirage, 18 Sept
414msFastest reaction time · 7–9 · inferno, 27 Jul
13–1Biggest win · anubis, 13 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
115In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 75% over 8infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB2091145%0.00
ancientB158753%-0.01
nukeB126650%0.02
infernoD113827%0.00
cacheS86275%-0.01
vertigoD72529%0.06
dust2D62433%-0.02
anubisS64267%-0.03
overpassB63350%-0.01
italy21150%-0.00
office21150%-0.00
eldorado1010%-0.11
debris1010%-0.11
poseidon1010%-0.13
fachwerk1010%0.01
boulder1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,361Lifetime kills
0.90K/D
8,327Matches
43.5%Match win rate
39.9%Headshot %
13.5%Shot accuracy · Top 50% of Level 9 players
17,350MVPs
3,242Hours (in match)
3,787Bombs planted
1,653Bombs defused

Most-used weapons

AK-4744,260
AWP9,684
P907,437
P2503,228
UMP-453,120

Lifetime map wins

6,249dust2
4,819inferno
3,643nuke
3,447vertigo
822train
712cbble
525office
378assault

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

Faceit stats

Combat

1,434Matches
51%Win rate
1.01Avg K/D
77.1ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage37754%1.0515.8
Ancient23351%0.9814.8
Anubis14453%0.9315.0
Dust213138%0.9014.8
Nuke11155%0.9514.4
Vertigo9755%1.0314.9
Inferno6143%1.0215.1
Overpass2030%0.8912.8

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.

16.7%Headshot accuracy
39.5%Accuracy (enemy spotted)
46.3%Spray accuracy
80.7%Counter-strafing
8.7°Preaim
560msReaction time
39.1%T opening success
31.7%CT opening success
0.45Enemies flashed / flash
7.4%Flash assists
7.81HE damage / grenade
3.75Flashes / 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 0.4491 — 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 39.1492% — below the 40% mark we flag

Spend your practice time on Inferno

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0119%18 Sept
mirage0–4-0.0660%18 Sept
mirage0–50.0130%18 Sept
ancient13–9-0.0613%15 Sept
nuke13–40.033%15 Sept
italy6–130.0211%15 Sept
dust21–13-0.0814%15 Sept
nuke4–130.0121%10 Sept
cache13–80.0614%10 Sept
mirage5–13-0.0425%10 Sept
inferno13–110.0711%7 Sept
mirage6–13-0.0638%7 Sept
nuke11–130.0416%7 Sept
ancient5–13-0.0216%7 Sept
nuke9–20.3221%7 Sept
inferno5–9-0.1227%7 Sept
anubis22–25-0.0610%4 Sept
vertigo13–110.034%4 Sept
nuke13–7-0.0313%4 Sept
dust213–10-0.0417%2 Sept
italy13–11-0.0228%2 Sept
mirage13–11-0.0210%2 Sept
inferno8–13-0.0424%2 Sept
cache13–9-0.0222%1 Sept
vertigo5–9-0.0419%1 Sept
inferno4–90.0133%1 Sept
eldorado2–9-0.1120%1 Sept
ancient9–13-0.029%30 Aug
inferno16–130.0115%30 Aug
mirage13–80.0125%29 Aug
nuke13–11-0.0426%28 Aug
dust29–13-0.0511%28 Aug
vertigo2–130.0015%27 Aug
debris1–9-0.1131%24 Aug
poseidon2–9-0.1338%24 Aug
office12–12-0.0220%24 Aug
ancient1–13-0.0314%24 Aug
ancient12–12-0.016%24 Aug
vertigo6–130.0516%24 Aug
overpass2–9-0.1742%24 Aug
vertigo9–10.4424%24 Aug
mirage13–110.0215%24 Aug
nuke8–80.0216%24 Aug
mirage1–13-0.0231%20 Aug
nuke19–15-0.039%19 Aug
anubis13–7-0.0015%19 Aug
ancient13–20.0910%13 Aug
anubis13–1-0.0421%13 Aug
dust213–40.0619%13 Aug
mirage9–130.0613%13 Aug
ancient8–130.0010%11 Aug
ancient13–60.008%11 Aug
overpass13–9-0.0216%10 Aug
ancient5–130.0112%10 Aug
mirage3–130.0517%10 Aug
mirage17–190.0114%9 Aug
mirage13–90.026%9 Aug
ancient3–110.0043%9 Aug
ancient13–60.0215%7 Aug
inferno6–130.0012%7 Aug
inferno6–9-0.0911%5 Aug
ancient13–110.0314%5 Aug
nuke1–13-0.077%5 Aug
ancient13–80.0116%4 Aug
mirage6–130.0428%4 Aug
cache13–80.0216%4 Aug
mirage10–130.0111%29 Jul
anubis12–12-0.0718%28 Jul
vertigo5–9-0.0421%27 Jul
overpass6–9-0.0711%27 Jul
nuke8–80.0218%27 Jul
inferno7–90.0712%27 Jul
mirage11–130.0628%27 Jul
overpass7–13-0.0113%27 Jul
dust28–130.0514%27 Jul
cache13–10-0.0226%27 Jul
mirage13–10-0.0132%27 Jul
office8–10.0136%27 Jul
fachwerk4–130.0128%27 Jul
ancient13–10-0.099%24 Jul
cache13–4-0.0313%24 Jul
anubis13–70.0217%24 Jul
anubis13–8-0.0316%24 Jul
overpass9–70.062%23 Jul
vertigo8–8-0.059%23 Jul
inferno8–80.1112%23 Jul
nuke7–90.0021%23 Jul
mirage13–11-0.0311%22 Jul
dust24–13-0.060%21 Jul
ancient13–4-0.0421%21 Jul
inferno13–50.0215%21 Jul
mirage16–140.0220%19 Jul
cache5–13-0.027%19 Jul
cache5–13-0.0510%15 Jul
nuke13–4-0.009%15 Jul
cache13–6-0.0516%15 Jul
mirage13–110.0117%11 Jul
overpass9–40.1414%11 Jul
mirage13–80.0217%10 Jul
boulder5–13-0.0217%9 Jul

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 →