Ulquiorra

Ulquiorra — CS2 Stats

76561198373167606[U:1:412901878]Steam profile ↗✓ No bans

854Tracked matches45%Win rate2020Tracked since
1,435Hours in CS9Hrs last 2 wks
CSDB Rating4.8 DevelopingClutch Specialist
Premier CS Rating12,456Blue band · top ~41.9% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,456 -2,544 17 Apr – 24 Oct · 26 days played
12,45616,185peak 16,18517 Apr24 Oct
16,185Peak Premier in tracked matches
42Days played since 2026-04-17

Premier CS Rating

  • 3,729 below peak (16,185)
  • -2,543 over 30 days · declining
  • Next: Purple band at 15,000 — 2,544 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate36.4%41.3%41.8%5.4% short
Shot accuracy16.7%12.7%12.2%above
Kill/death ratio0.850.950.980.12 short
Match win rate39.2%42.6%43.3%4.1% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGUlquiorraFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER12,456 · Blue bandcsdb.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

Aim56
Positioning39
Utility54

0–100 skill scores via Leetify.

Recent form

COLD47–46–7Last 10047%Win rateWLLLLLWLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · −47ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 681ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 672ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 695ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim5.6
Utility5.4
Positioning3.9
Opening Duels1.8
Clutch6.0

Strong CT-side opener

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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 692ms 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

Aim5.6
Positioning3.9
Utility5.4
Mechanics7.4
Opening Duels3.1
Win Impact3.3

Composite 4.8/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time684ms−2ms
first ⅓ avg 686ms → last ⅓ avg 684ms
Headshot accuracy14.4%+0.3%
first ⅓ avg 14.1% → last ⅓ avg 14.4%

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

0.22Best match rating · 6–2 · rush_001, 2 Oct →
33%Best headshot accuracy · 0–13 · cache, 7 Aug →
500msFastest reaction time · 13–3 · anubis, 5 Sept →
13–1Biggest win · cache, 15 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 71% over 14mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB3015–1550%-0.03
ancientC146–843%-0.04
anubisS1410–471%-0.01
infernoC146–843%-0.03
dust2D103–730%-0.06
mirageD82–625%-0.02
vertigo—41–325%-0.04
nuke—43–175%-0.02
rush_001—11–0100%0.22
train—10–10%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,047Lifetime kills
0.85K/D
2,304Matches
39.2%Match win rate
36.4%Headshot %
16.7%Shot accuracy · Top 25% of Level 2 players
3,618MVPs
883Hours (in match)
1,966Bombs planted
400Bombs defused

Most-used weapons

Lifetime map wins

4,764inferno
863dust2
572nuke
465vertigo
414train
33lake
23cbble
18bank

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

Faceit stats

Combat

154Matches
47%Win rate
0.95Avg K/D
87.9ADR
30%Headshot %

Clutches & streaks

50%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis540%1.0913.0
Mirage450%0.8712.8
Overpass333%1.0114.7
Nuke20%0.9217.5
Vertigo20%0.8414.0
Ancient10%0.7110.0

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.

14.8%Headshot accuracy
33.7%Accuracy (enemy spotted)
33.2%Spray accuracy
83.4%Counter-strafing
9.1°Preaim
692msReaction time
38.0%T opening success
46.4%CT opening success
0.57Enemies flashed / flash
5.9%Flash assists
8.63HE damage / grenade
7.70Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8112% — below the 15% mark we flag

    Aim Training →
  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 37.9985% — below the 40% mark we flag

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 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.042%24 Oct →
ancient5–13-0.0121%24 Oct →
anubis8–130.0116%23 Oct →
dust28–13-0.1019%23 Oct →
inferno12–16-0.0622%23 Oct →
cache10–13-0.0413%17 Oct →
mirage13–8-0.0125%17 Oct →
inferno11–13-0.0315%16 Oct →
anubis13–4-0.054%16 Oct →
cache9–13-0.0410%16 Oct →
ancient9–13-0.035%16 Oct →
dust26–13-0.1126%10 Oct →
cache13–5-0.0120%10 Oct →
dust211–13-0.0711%7 Oct →
cache13–50.0314%7 Oct →
inferno13–110.0219%3 Oct →
cache13–9-0.0216%3 Oct →
cache15–15-0.044%2 Oct →
rush_0016–20.2211%2 Oct →
mirage8–13-0.0431%1 Oct →
mirage9–13-0.0621%1 Oct →
vertigo13–8-0.0513%24 Sept →
vertigo10–13-0.0617%24 Sept →
ancient13–10-0.0714%19 Sept →
nuke13–6-0.0112%19 Sept →
anubis13–3-0.0613%19 Sept →
cache16–130.0115%15 Sept →
cache2–13-0.0611%15 Sept →
mirage9–130.029%15 Sept →
inferno13–16-0.0520%15 Sept →
anubis13–30.065%5 Sept →
cache13–10-0.0514%5 Sept →
ancient3–13-0.048%5 Sept →
ancient13–90.0211%15 Aug →
cache13–1-0.0417%15 Aug →
train7–13-0.0821%14 Aug →
nuke16–13-0.036%14 Aug →
cache13–9-0.0714%14 Aug →
ancient14–16-0.0410%7 Aug →
cache0–13-0.1133%7 Aug →
inferno6–13-0.0714%7 Aug →
anubis13–8-0.0310%7 Aug →
anubis13–3-0.033%7 Aug →
vertigo11–13-0.0111%3 Aug →
vertigo8–13-0.0412%3 Aug →
dust27–13-0.048%1 Aug →
inferno7–10.0211%1 Aug →
anubis13–6-0.096%24 Jul →
anubis12–12-0.0212%24 Jul →
cache10–13-0.049%24 Jul →
nuke13–11-0.0020%19 Jul →
dust26–12-0.0413%19 Jul →
anubis15–15-0.0120%11 Jul →
cache13–8-0.0129%10 Jul →
ancient13–5-0.0214%10 Jul →
mirage5–13-0.060%10 Jul →
ancient11–130.0210%4 Jul →
inferno13–50.0316%4 Jul →
inferno4–13-0.0324%3 Jul →
cache13–9-0.0421%3 Jul →
inferno13–6-0.006%3 Jul →
mirage8–130.048%27 Jun →
dust213–10-0.1014%27 Jun →
ancient13–50.0723%20 Jun →
cache9–13-0.0919%20 Jun →
cache2–13-0.0219%20 Jun →
ancient9–13-0.1120%16 Jun →
dust213–10-0.0214%16 Jun →
cache12–12-0.0612%12 Jun →
cache11–5-0.0411%12 Jun →
dust213–9-0.0211%5 Jun →
cache13–8-0.0319%5 Jun →
cache12–12-0.0332%30 May →
cache13–40.0310%30 May →
anubis13–40.009%28 May →
anubis13–80.0512%28 May →
cache9–13-0.0314%23 May →
nuke15–15-0.035%23 May →
inferno6–13-0.0421%22 May →
ancient13–10-0.0723%22 May →
dust25–130.0213%22 May →
ancient4–13-0.0817%19 May →
cache9–13-0.0512%15 May →
cache13–50.0122%13 May →
inferno2–13-0.130%13 May →
anubis11–130.0114%13 May →
anubis13–10-0.0114%8 May →
ancient0–13-0.0821%8 May →
cache5–13-0.0715%8 May →
cache13–10-0.036%7 May →
cache11–130.0317%30 Apr →
cache13–70.0121%30 Apr →
cache12–12-0.089%30 Apr →
dust29–13-0.0612%25 Apr →
inferno12–160.0321%25 Apr →
anubis13–90.0410%24 Apr →
inferno16–13-0.0513%24 Apr →
ancient13–11-0.0410%24 Apr →
mirage1–13-0.049%17 Apr →
inferno13–100.0117%17 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.