Schloss

Schloss — CS2 Stats

76561197970889877[U:1:10624149]Steam profile ↗✓ No bans

1,401Tracked matches48%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating15,113Purple band · top ~28% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,401 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,113 -265 29 Mar – 22 Sept · 27 days played
14,52318,696peak 18,69629 Mar22 Sept
19,134Peak Premier in tracked matches
31Days played since 2026-03-29

Premier CS Rating

  • 3,583 below peak (18,696)
  • +590 over 30 days · improving
  • -3,369 over 90 days
  • Next: Pink band at 20,000 — 4,887 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-04

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

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CSDB.GGSchlossPREMIER15,113 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning53
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWWLLWLWWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +2.0pp headshot accuracy · −1ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 675ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 608ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 609ms

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 Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim8.2
Utility4.3
Positioning5.3
Opening Duels4.3
Clutch0.0

Limited 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 91% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 622ms 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

Aim8.2
Positioning5.3
Utility4.3
Mechanics7.0
Opening Duels3.7
Win Impact4.4

Composite 6.0/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time634ms−65ms
first ⅓ avg 699ms → last ⅓ avg 634ms
Headshot accuracy14.8%+1.4%
first ⅓ avg 13.5% → last ⅓ avg 14.8%

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

0.08Best match rating · 13–5 · cache, 25 Aug →
29%Best headshot accuracy · 13–1 · dust2, 15 May →
484msFastest reaction time · 11–13 · cache, 24 Aug →
13–1Biggest win · inferno, 4 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 57% over 14cacheWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%-0.00
ancientB179–853%0.00
nukeB178–947%-0.01
infernoA148–657%-0.01
cacheD123–925%-0.01
anubisC83–538%0.00
mirage—42–250%-0.04
overpass—43–175%-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

18Matches
33%Win rate
0.67Avg K/D
96.9ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.7825.0
Vertigo10%0.628.0

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.

15.0%Headshot accuracy
40.8%Accuracy (enemy spotted)
42.2%Spray accuracy
81.6%Counter-strafing
7.6°Preaim
622msReaction time
39.2%T opening success
50.4%CT opening success
0.46Enemies flashed / flash
2.7%Flash assists
11.72HE damage / grenade
4.84Flashes / 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 0.4634 — 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 39.19% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–40.0616%4 Sept →
inferno13–10.0717%4 Sept →
ancient9–13-0.107%4 Sept →
cache8–13-0.0228%31 Aug →
cache13–50.0822%25 Aug →
inferno9–13-0.0610%25 Aug →
nuke13–80.0523%25 Aug →
nuke13–90.035%24 Aug →
cache11–13-0.0021%24 Aug →
inferno11–130.0111%24 Aug →
cache13–40.0318%24 Aug →
cache7–130.0119%24 Aug →
ancient13–110.037%23 Aug →
anubis13–9-0.028%23 Aug →
cache13–11-0.0311%23 Aug →
nuke13–60.0519%23 Aug →
ancient15–150.0615%23 Aug →
ancient13–110.0118%23 Aug →
dust210–130.0713%22 Aug →
ancient9–13-0.0314%22 Aug →
mirage2–13-0.055%22 Aug →
dust213–70.0815%22 Aug →
nuke8–130.0716%22 Aug →
dust211–130.0520%22 Aug →
cache2–13-0.0015%21 Aug →
ancient16–120.0013%21 Aug →
cache13–16-0.0510%21 Aug →
ancient13–10.0317%17 Jul →
cache11–13-0.0426%17 Jul →
anubis4–13-0.0616%12 Jun →
nuke9–13-0.046%12 Jun →
ancient15–15-0.0112%12 Jun →
dust213–80.0216%12 Jun →
inferno13–9-0.0521%12 Jun →
ancient0–13-0.0316%12 Jun →
inferno13–50.0519%11 Jun →
ancient13–80.0411%11 Jun →
dust213–5-0.0216%11 Jun →
dust213–70.007%11 Jun →
ancient3–13-0.063%5 Jun →
anubis6–13-0.088%5 Jun →
inferno16–14-0.0613%5 Jun →
inferno10–13-0.0013%3 Jun →
inferno6–13-0.0118%28 May →
nuke9–13-0.015%28 May →
nuke8–13-0.0611%28 May →
nuke13–9-0.0118%23 May →
nuke11–13-0.045%23 May →
dust213–8-0.005%16 May →
dust28–13-0.042%16 May →
inferno13–100.0414%16 May →
ancient13–100.0616%16 May →
dust213–10.0129%15 May →
overpass16–14-0.0212%15 May →
dust28–13-0.0714%15 May →
nuke13–6-0.046%14 May →
dust216–14-0.0118%14 May →
overpass11–13-0.029%14 May →
mirage3–13-0.0615%12 May →
dust27–13-0.0110%12 May →
inferno3–13-0.0918%8 May →
inferno7–13-0.0819%8 May →
dust213–8-0.0112%8 May →
cache5–13-0.0016%2 May →
cache3–13-0.124%2 May →
cache8–13-0.0311%2 May →
nuke11–13-0.0116%24 Apr →
inferno13–50.048%24 Apr →
dust214–16-0.049%24 Apr →
dust28–130.0012%20 Apr →
ancient13–8-0.057%19 Apr →
dust213–40.058%19 Apr →
nuke13–10-0.0113%19 Apr →
ancient13–30.0220%11 Apr →
dust213–70.0311%11 Apr →
dust216–13-0.0317%11 Apr →
nuke13–9-0.0413%11 Apr →
ancient8–130.038%11 Apr →
dust213–90.0222%11 Apr →
anubis13–110.0815%10 Apr →
dust26–13-0.0714%10 Apr →
anubis6–13-0.0018%9 Apr →
nuke5–13-0.0818%9 Apr →
mirage13–8-0.0212%7 Apr →
dust213–80.0110%7 Apr →
inferno13–8-0.0118%2 Apr →
nuke13–7-0.0419%2 Apr →
anubis8–13-0.007%2 Apr →
nuke9–13-0.0414%2 Apr →
inferno16–140.0110%2 Apr →
ancient10–130.038%2 Apr →
mirage13–10-0.0417%2 Apr →
dust29–130.0115%2 Apr →
dust26–13-0.1020%31 Mar →
nuke11–130.016%31 Mar →
anubis15–150.0413%31 Mar →
overpass13–8-0.0014%30 Mar →
ancient13–8-0.0220%30 Mar →
overpass13–60.0314%30 Mar →
dust28–130.0015%29 Mar →

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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