ULI, ¿EL HUMILDE?

ULI, ¿EL HUMILDE? — CS2 Stats

ES76561199120342985[U:1:1160077257]Steam profile ↗✓ No bans

2,936Tracked matches70%Win rate2021Tracked since
4,897Hours in CS18Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating23,757Pink band · top ~4.4% of ranked players (population est.)
FaceitLevel 9 · 1,710 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGULI, ¿EL HUMILDE?FACEITLevel 9 · 1,710 ELOSTANDINGTop 20.7% of rankedPREMIER23,757 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning48
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY60–38–2Last 10060%Win rateLWLLLWWLWL

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · −2.5pp headshot accuracy · +86ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 533ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 490ms

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 (+1.4 against its own average).

Aim8.1
Utility5.0
Positioning4.8
Opening Duels1.1
Clutch3.6

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 93% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

Positioning. Positioning trails aim by 33 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.

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

Aim8.1
Positioning4.8
Utility5.0
Mechanics6.0
Opening Duels1.4
Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time505ms−74ms
first ⅓ avg 579ms → last ⅓ avg 505ms
Headshot accuracy18.1%−2.2%
first ⅓ avg 20.3% → last ⅓ avg 18.1%

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

0.17Best match rating · 13–7 · dust2, 30 Aug →
40%Best headshot accuracy · 2–13 · dust2, 12 May →
375msFastest reaction time · 13–10 · ancient, 27 Oct →
13–0Biggest win · mirage, 20 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
3–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 89% over 9ancientWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.00
ancientC218–1338%-0.01
mirageS1812–667%0.01
infernoS1715–288%0.04
anubisS98–189%0.01
cacheA74–357%0.00
overpass—21–150%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,332Lifetime kills
0.83K/D
5,306Matches
51.1%Match win rate
46.6%Headshot %
7.9%Shot accuracy
10,724MVPs
3,428Hours (in match)
8,183Bombs planted
1,986Bombs defused

Most-used weapons

AK-4744,606
AWP5,314
MP94,096
MAC-102,637
FAMAS2,090

Lifetime map wins

24,207inferno
6,471dust2
3,112vertigo
1,287nuke
468train
58cbble
24office
6lake

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

Faceit stats

Combat

752Matches
52%Win rate
0.97Avg K/D
70.7ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno7961%1.1014.9
Mirage6348%1.0513.6
Anubis5958%1.0213.9
Ancient5953%1.0313.5
Dust24060%1.0813.8
Vertigo2744%1.1715.0
Overpass1947%1.0015.4
Nuke1547%0.9413.4

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.

17.9%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.1%Spray accuracy
77.0%Counter-strafing
9.0°Preaim
492msReaction time
30.2%T opening success
41.0%CT opening success
0.48Enemies flashed / flash
8.3%Flash assists
6.03HE damage / grenade
7.16Flashes / 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 0.4846 — 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 30.1639% — 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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0217%13 Nov →
dust213–100.0519%11 Nov →
dust210–13-0.009%11 Nov →
mirage7–13-0.0415%11 Nov →
cache4–13-0.0823%8 Nov →
cache13–10.033%6 Nov →
inferno13–40.0719%4 Nov →
mirage7–130.0229%4 Nov →
ancient13–11-0.0421%4 Nov →
dust27–13-0.068%3 Nov →
ancient6–13-0.0513%3 Nov →
anubis13–60.0121%30 Oct →
anubis13–60.0023%28 Oct →
ancient13–40.0321%28 Oct →
mirage13–5-0.0615%28 Oct →
mirage9–4-0.0224%28 Oct →
dust213–10-0.0128%28 Oct →
ancient13–10-0.028%27 Oct →
cache8–13-0.0118%27 Oct →
ancient13–100.0816%27 Oct →
ancient13–90.0211%27 Oct →
mirage13–100.0311%27 Oct →
inferno13–70.0121%27 Oct →
inferno13–5-0.0221%26 Oct →
cache13–5-0.0239%25 Oct →
dust210–13-0.0414%13 Oct →
mirage13–90.0318%13 Oct →
cache16–12-0.0015%3 Oct →
inferno13–70.0629%3 Oct →
ancient13–70.0011%3 Oct →
dust26–130.0215%21 Sept →
mirage7–130.0022%1 Sept →
dust213–90.0519%30 Aug →
inferno13–70.1427%30 Aug →
dust213–70.1724%30 Aug →
ancient4–13-0.0222%14 Aug →
mirage13–70.0116%5 Aug →
inferno6–13-0.0223%2 Aug →
inferno13–30.0527%24 Jul →
ancient11–130.0023%24 Jul →
anubis13–10-0.0110%21 Jul →
anubis13–60.0011%21 Jul →
inferno12–160.0613%21 Jul →
dust210–13-0.0713%20 Jul →
inferno13–40.0319%19 Jul →
dust216–13-0.019%13 Jul →
ancient10–13-0.0824%13 Jul →
ancient15–150.0224%5 Jul →
dust210–13-0.0119%21 Jun →
ancient6–13-0.0229%21 Jun →
dust213–70.0217%17 Jun →
overpass11–130.0128%12 Jun →
dust213–9-0.0815%12 Jun →
ancient0–3-0.030%11 Jun →
inferno13–10-0.0012%11 Jun →
dust29–13-0.0020%9 Jun →
mirage11–10.0627%8 Jun →
inferno13–40.0410%3 Jun →
mirage13–30.1212%3 Jun →
ancient13–50.0516%3 Jun →
dust213–70.0531%2 Jun →
anubis15–150.0215%2 Jun →
mirage8–13-0.0328%1 Jun →
mirage0–13-0.040%28 May →
mirage13–60.0827%28 May →
dust213–3-0.0329%28 May →
mirage13–50.0329%27 May →
dust211–130.0216%25 May →
anubis13–110.0226%25 May →
anubis13–100.0315%25 May →
ancient13–10.0328%25 May →
ancient8–13-0.053%20 May →
inferno13–1-0.0315%20 May →
mirage13–5-0.0113%20 May →
anubis13–6-0.0229%20 May →
mirage13–0-0.010%20 May →
dust213–110.0226%18 May →
dust29–130.0432%13 May →
dust22–13-0.1040%12 May →
inferno13–60.0113%12 May →
dust21–13-0.0431%11 May →
ancient9–130.0320%5 May →
dust210–13-0.0617%5 May →
overpass13–90.0123%4 May →
mirage9–130.0428%4 May →
dust213–30.0130%3 May →
dust213–60.0113%3 May →
cache13–80.0722%30 Apr →
cache6–130.0318%29 Apr →
anubis13–70.0012%27 Apr →
ancient1–130.0218%26 Apr →
mirage13–4-0.0230%24 Apr →
inferno13–50.0923%23 Apr →
ancient4–13-0.0729%23 Apr →
dust28–13-0.0121%22 Apr →
dust210–130.0021%22 Apr →
inferno13–10.0617%21 Apr →
inferno13–100.0013%21 Apr →
ancient2–13-0.058%20 Apr →
inferno13–40.0719%17 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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