Schubert-

Schubert- — CS2 Stats

DE76561198023443010[U:1:63177282]Steam profile ↗✓ No bans

316Tracked matches52%Win rate2021Tracked since
1,745Hours in CS
CSDB Rating7.1 StrongAll-Rounder
Premier CS Rating22,431Top 25% of 201,122 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#48390 of 247984 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 316 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,431 +1,461 21 Mar – 16 Sept · 32 days played
18,60922,591peak 22,59121 Mar16 Sept
22,648Peak Premier in tracked matches
40Days played since 2026-02-28

Premier CS Rating

  • 160 below peak (22,591)
  • +3,733 over 90 days
  • Next: Red band at 25,000 — 2,569 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-16
  • Purple band first seen 2026-09-16

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 5 Sep 2026 and 2 Oct 2026.

Measured 5 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate63.0%46.9%49.2%above
Shot accuracy20.5%13.0%13.4%above
Kill/death ratio0.931.081.120.19 short
Match win rate42.4%46.7%48.5%6.1% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSchubert-PREMIER22,431 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning61
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLTLWLWLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +4.2pp headshot accuracy · −0ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 567ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 608ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 608ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim8.2
Utility6.8
Positioning6.1
Opening Duels7.5

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

m0NESY

Plays most like m0NESY 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Strengths

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 67% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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
Positioning6.1
Utility6.8
Mechanics7.5
Opening Duels6.1
Win Impact5.6

Composite 7.1/10 (Strong), 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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time611ms−46ms
first ⅓ avg 657ms → last ⅓ avg 611ms
Headshot accuracy21.6%+2.8%
first ⅓ avg 18.8% → last ⅓ avg 21.6%

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

0.20Best match rating · 13–1 · cache, 10 Jul →
32%Best headshot accuracy · 13–7 · nuke, 21 Mar →
445msFastest reaction time · 5–13 · anubis, 22 Jul →
13–1Biggest win · inferno, 1 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–15In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 6dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2312–1152%0.01
nukeC177–1041%0.01
anubisA127–558%0.01
dust2C114–736%-0.00
mirageA116–555%0.01
overpassA116–555%0.02
ancientC94–544%-0.01
cacheS64–267%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,047Lifetime kills
0.93K/D
3,285Matches
42.4%Match win rate
63.0%Headshot % · Top 5% of Pink band
20.5%Shot accuracy · Top 5% of Pink band
7,793MVPs
1,745Hours (in match)
2,098Bombs planted
633Bombs defused

Most-used weapons

AK-4748,819
AWP7,382
UMP-452,911
SSG 082,042
FAMAS1,640
P2501,336

Lifetime map wins

4,666dust2
3,942inferno
2,468cbble
1,737nuke
1,262train
738vertigo
50office
45lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.6%Headshot accuracy
37.3%Accuracy (enemy spotted)
39.4%Spray accuracy
83.7%Counter-strafing
8.5°Preaim
610msReaction time
42.0%T opening success
66.6%CT opening success
0.61Enemies flashed / flash
10.8%Flash assists
20.34HE damage / grenade
8.58Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0223%8 Aug →
cache15–150.0930%1 Aug →
ancient4–13-0.0729%1 Aug →
inferno13–10.0320%1 Aug →
anubis5–13-0.0632%22 Jul →
cache16–130.0718%22 Jul →
nuke11–130.0029%22 Jul →
dust213–50.0225%21 Jul →
mirage13–60.0218%19 Jul →
dust211–13-0.0813%19 Jul →
inferno13–7-0.0320%18 Jul →
inferno10–130.0117%18 Jul →
cache13–110.0215%18 Jul →
nuke13–50.1022%18 Jul →
mirage10–130.0223%16 Jul →
ancient13–8-0.0210%16 Jul →
mirage7–130.0928%16 Jul →
cache13–8-0.0020%12 Jul →
dust214–16-0.0225%12 Jul →
cache14–16-0.0315%11 Jul →
inferno13–40.0614%11 Jul →
anubis13–60.0919%11 Jul →
nuke11–130.0225%11 Jul →
ancient13–30.0527%10 Jul →
cache13–10.2021%10 Jul →
nuke13–100.0917%4 Jul →
inferno9–130.0327%4 Jul →
inferno10–13-0.0322%4 Jul →
dust211–130.0516%4 Jul →
anubis13–60.0731%2 Jul →
overpass13–11-0.0222%2 Jul →
nuke5–13-0.0323%28 Jun →
anubis10–130.0819%28 Jun →
nuke7–130.0725%28 Jun →
inferno13–70.0427%28 Jun →
overpass13–60.0525%27 Jun →
overpass3–13-0.0525%27 Jun →
inferno13–100.0530%27 Jun →
inferno13–90.0126%14 Jun →
nuke8–130.0226%14 Jun →
inferno11–13-0.0124%13 Jun →
nuke13–6-0.0426%13 Jun →
nuke5–13-0.0630%13 Jun →
overpass13–80.0426%13 Jun →
anubis8–13-0.0128%13 Jun →
overpass10–130.0819%13 Jun →
nuke10–13-0.0326%13 Jun →
ancient7–1-0.0325%13 Jun →
mirage13–20.0917%7 Jun →
inferno13–50.0215%6 Jun →
inferno4–130.0515%6 Jun →
inferno7–130.0322%6 Jun →
overpass11–13-0.0124%5 Jun →
anubis13–4-0.0314%5 Jun →
inferno13–8-0.0225%1 Jun →
anubis13–100.0619%31 May →
inferno10–13-0.0318%31 May →
mirage7–130.0212%31 May →
inferno14–16-0.0723%30 May →
overpass16–140.0119%30 May →
ancient8–130.0120%27 May →
ancient8–13-0.0221%27 May →
dust213–40.0224%23 May →
mirage8–13-0.0320%23 May →
mirage13–11-0.0132%23 May →
mirage13–6-0.0214%15 May →
dust22–130.0126%15 May →
nuke4–13-0.0317%15 May →
ancient13–50.0614%14 May →
nuke13–60.0215%12 May →
dust211–13-0.0119%10 May →
inferno14–16-0.0416%8 May →
dust211–13-0.0017%8 May →
mirage13–11-0.0615%3 May →
dust213–110.0022%3 May →
inferno15–150.1023%18 Apr →
mirage13–60.0320%18 Apr →
anubis8–13-0.0712%12 Apr →
inferno13–11-0.0517%12 Apr →
mirage11–130.0114%12 Apr →
anubis1–13-0.0429%12 Apr →
inferno13–90.0325%27 Mar →
ancient10–13-0.0226%26 Mar →
inferno11–130.0320%24 Mar →
overpass13–80.009%21 Mar →
nuke13–11-0.0313%21 Mar →
nuke13–11-0.0421%21 Mar →
inferno13–70.0527%21 Mar →
dust210–13-0.0221%21 Mar →
nuke13–70.0832%21 Mar →
anubis13–110.0319%21 Mar →
dust213–80.0218%20 Mar →
overpass7–130.0117%17 Mar →
inferno13–80.0217%1 Mar →
overpass13–110.1018%1 Mar →
overpass11–130.0118%1 Mar →
nuke9–130.0216%1 Mar →
nuke6–130.0323%1 Mar →
anubis13–100.0014%28 Feb →
anubis13–80.0514%28 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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