Sir Ulrich

Sir Ulrich — CS2 Stats

76561198100836050[U:1:140570322]Steam profile ↗✓ No bans

1,340Tracked matches45%Win rate2021Tracked since
CSDB Rating6.1 SolidSupport
Premier CS Rating19,061Top 50% of 213,740 CSDB-tracked playersPurple band · top ~12.2% of ranked players (population est.)
CSDB Leaderboard#98640 of 260215 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (9 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: 19,061 +1,639 23 Oct – 29 Oct · 4 days played
17,42219,061peak 19,06123 Oct29 Oct
19,061Peak Premier in tracked matches
52Days played since 2026-05-27

Premier CS Rating

  • At peak — 19,061
  • Next: Pink band at 20,000 — 939 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.

Share this profile

CSDB.GGSir UlrichPREMIER19,061 · Purple bandcsdb.gg/stats

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Performance scores

Aim89
Positioning47
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLWLWWWLWLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −2.8pp headshot accuracy · −2ms reaction

Win rate up 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 562ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 562ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 563ms

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 (+1.7 against its own average).

Aim8.9
Utility5.0
Positioning4.7
Opening Duels0.1
Clutch3.6

Sharp aimerStrong 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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 42 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.

T-side openings. Opening success drops from 47% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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

Aim8.9
Positioning4.7
Utility5.0
Mechanics7.7
Opening Duels2.1
Win Impact3.3

Composite 6.1/10 (Solid), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time562ms−20ms
first ⅓ avg 582ms → last ⅓ avg 562ms
Headshot accuracy16.5%−0.1%
first ⅓ avg 16.5% → last ⅓ avg 16.5%

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

0.12Best match rating · 13–7 · dust2, 8 Jun →
83%Best headshot accuracy · 1–13 · nuke, 27 Jun →
367msFastest reaction time · 13–11 · office, 27 Jun →
13–3Biggest win · cache, 24 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2913–1645%0.02
nukeC197–1237%-0.00
cacheC145–936%-0.00
mirageA116–555%0.03
anubisS64–267%0.02
ancientD62–433%-0.01
office—42–250%0.03
inferno—30–30%-0.02
train—33–0100%0.09
vertigo—21–150%0.04
overpass—10–10%0.03
shelter—10–10%-0.07
italy—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches
55%Win rate
1.05Avg K/D
69.1ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2361%1.2614.7
Nuke1354%0.9511.3
Dust2922%0.8010.7
Vertigo862%1.1714.6
Ancient757%1.2014.1
Anubis683%0.8411.8
Cache20%0.9912.5
Train1100%0.8310.0

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.

15.4%Headshot accuracy
43.3%Accuracy (enemy spotted)
45.5%Spray accuracy
84.7%Counter-strafing
8.4°Preaim
554msReaction time
18.4%T opening success
46.5%CT opening success
0.60Enemies flashed / flash
7.7%Flash assists
6.61HE damage / grenade
5.10Flashes / 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 18.3946% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0410%29 Oct →
anubis16–14-0.048%29 Oct →
anubis10–130.018%25 Oct →
cache10–1-0.0211%25 Oct →
nuke13–70.036%24 Oct →
cache13–30.0422%24 Oct →
dust26–13-0.0910%23 Oct →
dust213–110.0218%23 Oct →
ancient1–13-0.0614%18 Oct →
nuke13–80.0217%18 Oct →
anubis13–100.0619%18 Oct →
cache2–13-0.0119%17 Oct →
nuke8–13-0.029%12 Oct →
mirage13–160.036%11 Oct →
dust21–13-0.0135%11 Oct →
dust23–13-0.0211%11 Oct →
cache7–13-0.0418%10 Oct →
nuke8–13-0.0012%10 Oct →
anubis13–70.0210%10 Oct →
dust213–100.0614%10 Oct →
cache1–13-0.0315%8 Oct →
dust213–50.0634%7 Oct →
ancient13–100.0227%7 Oct →
dust210–130.0119%4 Oct →
nuke6–130.0128%4 Oct →
nuke13–10-0.0317%3 Oct →
cache7–130.0026%24 Sept →
ancient6–130.002%18 Sept →
nuke13–50.0715%13 Sept →
inferno12–120.0414%13 Sept →
dust26–13-0.076%3 Sept →
dust213–110.0225%2 Sept →
dust29–130.0640%29 Aug →
mirage13–160.0819%28 Aug →
cache5–13-0.0524%27 Aug →
nuke13–5-0.0131%27 Aug →
nuke8–13-0.0620%23 Aug →
train13–80.1123%18 Aug →
nuke4–13-0.0813%16 Aug →
vertigo11–130.0526%16 Aug →
dust213–100.0622%16 Aug →
mirage13–70.0930%14 Aug →
vertigo13–50.0420%12 Aug →
nuke9–13-0.0210%12 Aug →
nuke8–13-0.0317%12 Aug →
ancient6–13-0.0110%11 Aug →
inferno8–8-0.0833%11 Aug →
cache6–13-0.0034%10 Aug →
mirage13–80.0413%9 Aug →
dust213–50.0717%9 Aug →
mirage7–13-0.0514%8 Aug →
dust27–13-0.0421%8 Aug →
dust213–100.0819%8 Aug →
overpass4–130.0318%5 Aug →
dust211–13-0.0113%5 Aug →
mirage13–40.0321%30 Jul →
shelter6–13-0.0714%11 Jul →
dust210–13-0.0121%4 Jul →
train13–80.0832%4 Jul →
inferno4–13-0.0319%1 Jul →
dust212–12-0.0017%30 Jun →
train13–110.0815%30 Jun →
nuke13–30.019%29 Jun →
dust213–9-0.0216%29 Jun →
anubis12–120.0414%28 Jun →
dust211–13-0.0010%28 Jun →
cache13–30.1014%28 Jun →
office13–110.0317%27 Jun →
nuke1–13-0.0483%27 Jun →
nuke12–120.0420%27 Jun →
dust213–90.0911%27 Jun →
mirage13–110.0213%27 Jun →
nuke10–13-0.0210%22 Jun →
office13–60.0515%16 Jun →
anubis13–70.0213%16 Jun →
cache8–13-0.0022%13 Jun →
dust210–130.0316%13 Jun →
dust212–16-0.0012%13 Jun →
mirage11–130.0310%13 Jun →
ancient9–13-0.0713%12 Jun →
office8–130.0510%9 Jun →
dust213–40.0619%9 Jun →
dust213–70.1215%8 Jun →
office5–13-0.0115%7 Jun →
nuke12–120.0316%6 Jun →
dust213–70.079%5 Jun →
italy8–13-0.0313%5 Jun →
cache7–130.0114%4 Jun →
nuke13–70.0614%4 Jun →
dust211–13-0.0116%4 Jun →
dust210–130.0310%4 Jun →
cache13–110.0212%3 Jun →
mirage13–50.0618%3 Jun →
cache6–130.0316%3 Jun →
nuke7–13-0.0114%2 Jun →
mirage4–13-0.019%2 Jun →
ancient13–90.0421%2 Jun →
dust213–90.0621%2 Jun →
mirage13–90.0322%27 May →
cache13–9-0.0610%27 May →

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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