☭Mr.Schmitt High auf Staub 2

☭Mr.Schmitt High auf Staub 2 — CS2 Stats

AT76561198219579859[U:1:259314131]Steam profile ↗✓ No bans

1,419Tracked matches54%Win rate2020Tracked since
2,514Hours in CS
CSDB Rating3.7 LearningPositional Player
Premier CS Rating4,442Grey band · top ~81.2% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (yesterday). 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: 4,442 -5,659 16 Jun – 9 Oct · 22 days played
3,35010,204peak 10,20416 Jun9 Oct
10,469Peak Premier in tracked matches
34Days played since 2026-06-16

Premier CS Rating

  • 5,762 below peak (10,204)
  • -4,205 over 90 days
  • Next: Light Blue band at 5,000 — 558 to go
  • Reached: Blue band · Light Blue band

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches534−29
Win rate80%44%+36pp
K/D1.110.88+0.23
Headshot %25%31%−6pp

Measured 3 Oct 2026 → 10 Oct 2026; previous 26 Sep 2026 → 3 Oct 2026.

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate34.7%38.2%39.9%5.2% short
Shot accuracy18.8%3.6%7.0%above
Kill/death ratio0.820.830.920.10 short
Match win rate38.8%40.2%42.3%3.4% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG☭Mr.Schmitt High auf Stau…PREMIER4,442 · Grey bandcsdb.gg/stats

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Performance scores

Aim37
Positioning56
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY41–52–7Last 10041%Win rateLWWWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −0.2pp headshot accuracy · +63ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 628ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 620ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 589ms

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 (+2.3 against its own average).

Aim3.7
Utility2.2
Positioning5.6
Opening Duels2.1

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

donk

Plays most like donk 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning5.6
Utility2.2
Mechanics3.3
Opening Duels4.1
Win Impact6.2

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time597ms−91ms
first ⅓ avg 688ms → last ⅓ avg 597ms
Headshot accuracy10.2%−2.7%
first ⅓ avg 12.9% → last ⅓ avg 10.2%

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

0.28Best match rating · 9–1 · overpass, 26 Sept →
25%Best headshot accuracy · 9–3 · overpass, 20 Jun →
438msFastest reaction time · 9–6 · overpass, 24 Jun →
13–1Biggest win · dust2, 28 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–15In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 75% over 8ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C259–1636%-0.01
mirageC229–1341%-0.01
nukeB168–850%-0.01
infernoC104–640%0.00
overpassS86–275%0.10
cacheD72–529%-0.04
ancientD51–420%-0.02
poseidon—41–325%0.11
anubis—31–233%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,535Lifetime kills
0.82K/D
6,006Matches
38.8%Match win rate
34.7%Headshot %
18.8%Shot accuracy · Top 5% of Grey band
13,438MVPs
2,514Hours (in match)
4,504Bombs planted
869Bombs defused

Most-used weapons

AK-4723,633
AWP13,559
P904,942
P2502,485
UMP-452,330
MP72,180

Lifetime map wins

15,949dust2
7,690cbble
3,027inferno
2,055nuke
1,464vertigo
747train
265safehouse
223office

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

Faceit stats

Combat

10Matches
30%Win rate
0.51Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

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.

10.2%Headshot accuracy
31.1%Accuracy (enemy spotted)
33.2%Spray accuracy
65.1%Counter-strafing
10.4°Preaim
593msReaction time
48.3%T opening success
44.5%CT opening success
0.36Enemies flashed / flash
0.0%Flash assists
9.28HE damage / grenade
0.78Flashes / 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 10.2002% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3597 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0710%9 Oct →
mirage13–30.027%9 Oct →
nuke13–11-0.016%9 Oct →
dust213–60.0715%3 Oct →
mirage13–100.018%3 Oct →
mirage13–50.0714%2 Oct →
cache8–13-0.012%2 Oct →
inferno6–13-0.0921%1 Oct →
nuke10–13-0.0415%1 Oct →
nuke13–70.099%1 Oct →
ancient11–13-0.086%1 Oct →
dust213–11-0.0611%1 Oct →
dust28–13-0.076%1 Oct →
dust210–13-0.0012%1 Oct →
cache13–90.0413%30 Sept →
inferno16–14-0.029%30 Sept →
mirage11–13-0.0618%30 Sept →
anubis9–13-0.0310%29 Sept →
nuke13–60.0212%29 Sept →
inferno6–13-0.0611%29 Sept →
mirage13–50.0514%29 Sept →
dust213–90.0510%29 Sept →
dust215–15-0.0115%29 Sept →
inferno11–130.046%29 Sept →
ancient7–13-0.047%28 Sept →
nuke10–130.017%28 Sept →
mirage13–5-0.047%28 Sept →
dust213–1-0.0518%28 Sept →
inferno13–5-0.019%28 Sept →
nuke15–150.004%28 Sept →
nuke11–130.0210%28 Sept →
mirage11–130.047%28 Sept →
dust213–9-0.008%28 Sept →
inferno13–1-0.013%27 Sept →
overpass8–80.0715%26 Sept →
poseidon8–80.1714%26 Sept →
inferno5–90.109%26 Sept →
overpass9–10.2813%26 Sept →
inferno9–20.1712%26 Sept →
cache5–13-0.1411%24 Sept →
dust26–130.0217%24 Sept →
mirage6–13-0.0115%24 Sept →
cache15–15-0.0214%24 Sept →
ancient7–13-0.0211%24 Sept →
dust28–130.0720%23 Sept →
anubis16–140.0412%23 Sept →
nuke13–50.1012%23 Sept →
inferno4–13-0.0317%23 Sept →
mirage8–13-0.097%14 Sept →
dust213–70.029%9 Sept →
dust24–13-0.0514%8 Sept →
dust211–13-0.0122%7 Sept →
cache13–10.0111%7 Sept →
dust211–13-0.0223%7 Sept →
mirage2–13-0.0715%17 Jul →
nuke11–13-0.067%17 Jul →
anubis11–130.0811%17 Jul →
dust211–13-0.039%13 Jul →
cache7–13-0.073%13 Jul →
nuke13–2-0.007%12 Jul →
dust211–130.0212%12 Jul →
mirage11–130.036%12 Jul →
cache10–13-0.1019%12 Jul →
mirage5–130.0111%12 Jul →
mirage5–13-0.045%5 Jul →
nuke14–16-0.0316%4 Jul →
dust211–130.0019%4 Jul →
dust26–13-0.0813%3 Jul →
dust215–15-0.0212%30 Jun →
overpass13–90.0518%29 Jun →
mirage9–13-0.045%28 Jun →
mirage13–80.0114%27 Jun →
mirage11–13-0.0120%26 Jun →
mirage13–10.084%26 Jun →
mirage3–13-0.083%25 Jun →
overpass13–20.0413%25 Jun →
overpass13–11-0.059%25 Jun →
poseidon6–90.0313%24 Jun →
overpass9–60.1720%24 Jun →
mirage4–13-0.0514%22 Jun →
nuke13–11-0.0620%21 Jun →
mirage13–90.0814%21 Jun →
dust22–12-0.0016%21 Jun →
nuke13–5-0.0410%21 Jun →
ancient9–13-0.0112%20 Jun →
mirage4–13-0.0315%20 Jun →
poseidon8–80.117%20 Jun →
nuke3–9-0.059%20 Jun →
overpass9–30.2025%20 Jun →
poseidon9–40.1420%20 Jun →
dust213–90.0117%19 Jun →
overpass5–130.068%19 Jun →
dust210–13-0.079%19 Jun →
ancient13–90.0513%19 Jun →
dust213–40.0515%19 Jun →
mirage13–90.006%18 Jun →
dust23–13-0.039%18 Jun →
nuke8–13-0.0814%18 Jun →
nuke13–6-0.0318%16 Jun →
dust213–50.0610%16 Jun →

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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