1Otto von Wieprzmarck

1Otto von Wieprzmarck — CS2 Stats

BT76561198090155858[U:1:129890130]Steam profile ↗✓ No bans

1,209Tracked matches50%Win rate2020Tracked since
2,299Hours in CS4Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating23,252Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#41433 of 261537 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 23,252 +3,377 5 Sept – 13 Nov · 34 days played
19,87524,108peak 24,1085 Sept13 Nov
24,233Peak Premier in tracked matches
29Days played since 2026-09-05

Premier CS Rating

  • 856 below peak (24,108)
  • -399 over 30 days · steady
  • Next: Red band at 25,000 — 1,748 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-05

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate35.7%44.8%45.7%10.0% short
Shot accuracy8.5%12.4%12.7%4.2% short
Kill/death ratio1.071.031.05meets
Match win rate47.6%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG1Otto von WieprzmarckFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER23,252 · Pink 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

Aim76
Positioning64
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWWWWLLLWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −3.2pp headshot accuracy · +151ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 720ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 663ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 587ms

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 (+1.3 against its own average).

Aim7.6
Utility5.5
Positioning6.4
Opening Duels4.4
Clutch4.2

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 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Areas to improve

Reaction time. 571ms 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

Aim7.6
Positioning6.4
Utility5.5
Mechanics6.9
Opening Duels5.2
Win Impact5.0

Composite 6.6/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time569ms+35ms
first ⅓ avg 533ms → last ⅓ avg 569ms
Headshot accuracy14.5%+2.8%
first ⅓ avg 11.7% → last ⅓ avg 14.5%

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

0.09Best match rating · 13–10 · cache, 9 Nov →
32%Best headshot accuracy · 8–13 · dust2, 21 Oct →
375msFastest reaction time · 5–13 · train, 7 Oct →
13–0Biggest win · dust2, 13 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
4–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 71% over 14mirageWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B3116–1552%-0.00
mirageC187–1139%-0.00
cacheS1410–471%0.03
anubisB147–750%0.01
ancientS96–367%-0.03
nukeS75–271%0.02
infernoB63–350%0.00
train—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,327Lifetime kills
1.07K/D · Top 50% of Level 6 players
3,711Matches
47.6%Match win rate · Top 50% of Level 6 players
35.7%Headshot %
8.5%Shot accuracy
7,429MVPs
1,291Hours (in match)
3,679Bombs planted
828Bombs defused

Most-used weapons

AK-4714,737
AWP6,449
P2501,699
P901,557
MAC-101,543
MP91,449

Lifetime map wins

8,093inferno
6,001dust2
1,509vertigo
973nuke
661train
93office
60safehouse
55cbble

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

Faceit stats

Combat

121Matches
58%Win rate
1.13Avg K/D
86.1ADR
35%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis3664%1.2214.7
Mirage3355%1.0115.1
Inferno1958%1.1815.3
Ancient1354%1.2318.0
Vertigo1050%0.9511.7
Dust2667%1.0614.3
Nuke250%1.2114.0
Train1100%1.1721.0

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.

14.7%Headshot accuracy
35.8%Accuracy (enemy spotted)
39.0%Spray accuracy
81.1%Counter-strafing
8.0°Preaim
571msReaction time
51.2%T opening success
50.4%CT opening success
0.66Enemies flashed / flash
8.5%Flash assists
10.70HE damage / grenade
6.34Flashes / 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 14.7024% — below the 15% mark we flag

    Aim Training →
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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0412%13 Nov →
dust213–2-0.0220%13 Nov →
dust213–00.0527%13 Nov →
cache13–100.0912%9 Nov →
dust24–13-0.048%9 Nov →
mirage8–13-0.0315%9 Nov →
dust27–13-0.046%30 Oct →
mirage13–60.0416%30 Oct →
mirage8–13-0.088%29 Oct →
dust28–130.0113%21 Oct →
ancient2–10-0.0612%21 Oct →
dust28–13-0.0232%21 Oct →
ancient16–12-0.017%20 Oct →
dust216–130.0715%20 Oct →
mirage5–13-0.0227%19 Oct →
dust216–120.0210%19 Oct →
anubis2–13-0.0220%17 Oct →
dust213–10-0.0516%17 Oct →
cache7–00.0215%17 Oct →
nuke13–100.0316%17 Oct →
cache13–70.0910%17 Oct →
anubis11–130.0120%16 Oct →
mirage11–130.029%15 Oct →
cache5–13-0.0221%15 Oct →
mirage4–13-0.0119%15 Oct →
anubis13–90.007%14 Oct →
dust213–9-0.0120%14 Oct →
inferno9–13-0.0216%14 Oct →
ancient7–130.0311%13 Oct →
inferno13–20.0914%13 Oct →
dust29–13-0.059%12 Oct →
mirage10–13-0.037%12 Oct →
nuke13–30.039%12 Oct →
nuke9–00.0131%12 Oct →
dust213–60.0913%12 Oct →
dust213–7-0.040%12 Oct →
dust213–110.0214%10 Oct →
inferno13–6-0.0315%9 Oct →
cache13–60.0310%9 Oct →
dust214–16-0.0111%9 Oct →
inferno13–2-0.0019%9 Oct →
mirage13–80.0014%9 Oct →
nuke13–10-0.017%8 Oct →
anubis13–50.0217%8 Oct →
dust20–13-0.0213%7 Oct →
mirage6–130.0121%7 Oct →
train5–13-0.0219%7 Oct →
dust28–13-0.048%6 Oct →
nuke13–100.0314%6 Oct →
anubis13–8-0.0315%6 Oct →
dust27–13-0.0621%5 Oct →
dust214–16-0.0114%5 Oct →
mirage7–130.019%5 Oct →
ancient13–20.0011%5 Oct →
cache13–40.027%4 Oct →
inferno9–13-0.0312%4 Oct →
anubis13–70.0514%4 Oct →
mirage13–10.019%4 Oct →
anubis8–130.0211%4 Oct →
cache8–13-0.0411%3 Oct →
mirage13–4-0.0113%3 Oct →
anubis13–9-0.0113%3 Oct →
cache13–10-0.004%3 Oct →
mirage0–13-0.0612%2 Oct →
dust216–13-0.0115%2 Oct →
dust216–13-0.0214%2 Oct →
inferno8–130.0022%1 Oct →
dust28–130.0615%1 Oct →
ancient2–1-0.1020%1 Oct →
dust210–13-0.0712%1 Oct →
nuke10–13-0.0416%1 Oct →
anubis5–130.0517%30 Sept →
mirage15–15-0.0215%30 Sept →
cache7–13-0.0712%30 Sept →
ancient13–90.0111%30 Sept →
mirage13–110.0410%28 Sept →
anubis13–80.068%28 Sept →
mirage8–130.0615%28 Sept →
dust213–90.016%28 Sept →
dust211–130.0512%28 Sept →
dust213–8-0.014%28 Sept →
mirage8–10.009%28 Sept →
anubis8–13-0.008%27 Sept →
ancient6–13-0.048%27 Sept →
dust216–14-0.0211%27 Sept →
cache13–80.0711%27 Sept →
cache13–60.049%25 Sept →
anubis13–9-0.048%25 Sept →
ancient13–9-0.0416%25 Sept →
cache13–30.0317%25 Sept →
mirage13–4-0.0111%25 Sept →
anubis9–13-0.0010%24 Sept →
dust210–13-0.0116%24 Sept →
dust215–15-0.067%24 Sept →
nuke10–130.0815%24 Sept →
dust213–70.0915%24 Sept →
anubis11–130.066%24 Sept →
dust213–70.0010%24 Sept →
ancient13–5-0.0310%23 Sept →
cache10–130.0715%23 Sept →

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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