Zipfel_Klatscher

Zipfel_Klatscher — CS2 Stats

CH76561198362654860[U:1:402389132]Steam profile ↗✓ No bans

1,509Tracked matches43%Win rate2023Tracked since
2,170Hours in CS1Hrs last 2 wks
CSDB Rating3.9 LearningOpening Duellist
Premier CS Rating4,999Grey band · top ~78.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (13 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: 4,999 -1,751 12 Jul – 24 Sept · 26 days played
3,8686,750peak 6,75012 Jul24 Sept
6,987Peak Premier in tracked matches
30Days played since 2026-07-12

Premier CS Rating

  • 1,751 below peak (6,750)
  • +130 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1 to go
  • Reached: 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 30 days vs previous 30

MetricLast 30Previous 30Change
Matches3——
Win rate33%——
K/D0.72——
Headshot %43%——

Measured 11 Sep 2026 → 7 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 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 rate36.3%38.2%39.9%3.6% short
Shot accuracy7.4%3.6%7.0%above
Kill/death ratio0.840.830.920.08 short
Match win rate33.2%40.2%42.3%9.0% short

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

Widest gap: Match win 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.GGZipfel_KlatscherPREMIER4,999 · Grey 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

Aim45
Positioning58
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY38–56–6Last 10038%Win rateWLWWWTWLLT

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −6.0pp headshot accuracy · −19ms reaction

Win rate up 30pp 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 -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 658ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 612ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 621ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.4 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim4.5
Utility2.8
Positioning5.8
Opening Duels6.1
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

m0NESY

Plays most like m0NESY 70% 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

T-side openings. Opening success drops from 60% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.5
Positioning5.8
Utility2.8
Mechanics4.3
Opening Duels5.1
Win Impact2.6

Composite 3.9/10 (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+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time647ms−4ms
first ⅓ avg 651ms → last ⅓ avg 647ms
Headshot accuracy14.8%−1.7%
first ⅓ avg 16.6% → 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

0.13Best match rating · 13–4 · dust2, 29 Jul →
46%Best headshot accuracy · 5–13 · ancient, 12 Aug →
438msFastest reaction time · 5–13 · ancient, 12 Aug →
13–1Biggest win · mirage, 29 Jul →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 67% over 6cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2111–1052%0.00
mirageC208–1240%-0.00
nukeC156–940%-0.01
ancientD154–1127%-0.04
anubisD143–1121%-0.00
cacheD61–517%-0.04
infernoS64–267%-0.02
poseidon—21–150%-0.13
train—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

51,979Lifetime kills
0.84K/D · Top 50% of Grey band
4,032Matches
33.2%Match win rate
36.3%Headshot %
7.4%Shot accuracy · Top 50% of Grey band
4,054MVPs
993Hours (in match)
1,961Bombs planted
422Bombs defused

Most-used weapons

Lifetime map wins

3,591dust2
3,375nuke
2,491inferno
1,409vertigo
380train
196safehouse
170ar_shoots
165lake

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

Faceit stats

Combat

4Matches
25%Win rate
1.07Avg K/D
91.3ADR
32%Headshot %

Clutches & streaks

20%1v1 clutch win
29%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis20%1.2025.0
Nuke10%1.1326.0
Dust21100%0.7414.0

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
32.7%Accuracy (enemy spotted)
31.4%Spray accuracy
69.4%Counter-strafing
9.6°Preaim
648msReaction time
41.2%T opening success
59.6%CT opening success
0.38Enemies flashed / flash
4.7%Flash assists
4.62HE damage / grenade
4.52Flashes / 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 14.6855% — 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 0.3751 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–40.0221%24 Sept →
mirage7–13-0.025%31 Aug →
nuke13–10-0.0410%31 Aug →
dust213–5-0.0018%25 Aug →
dust213–5-0.079%25 Aug →
train12–12-0.029%25 Aug →
mirage13–70.0415%24 Aug →
anubis3–130.0016%24 Aug →
ancient6–13-0.024%17 Aug →
anubis15–150.098%17 Aug →
mirage13–100.1313%17 Aug →
dust213–16-0.0221%17 Aug →
ancient5–13-0.0146%12 Aug →
nuke6–13-0.0320%12 Aug →
nuke5–130.0014%11 Aug →
mirage7–13-0.0412%11 Aug →
nuke6–130.0311%10 Aug →
ancient13–80.0211%7 Aug →
ancient5–13-0.0615%6 Aug →
mirage6–13-0.0711%6 Aug →
anubis9–130.018%5 Aug →
inferno5–13-0.0229%5 Aug →
nuke13–110.0114%4 Aug →
dust25–13-0.0113%4 Aug →
dust213–11-0.0513%4 Aug →
cache5–13-0.0112%4 Aug →
anubis13–5-0.0226%4 Aug →
cache6–13-0.0613%4 Aug →
dust213–6-0.0121%3 Aug →
nuke13–30.0714%3 Aug →
mirage13–70.0514%3 Aug →
mirage9–13-0.0714%31 Jul →
dust213–40.0312%31 Jul →
inferno16–14-0.027%30 Jul →
dust213–30.1021%30 Jul →
inferno13–90.0216%30 Jul →
mirage5–13-0.0418%30 Jul →
mirage15–150.016%29 Jul →
mirage13–10.1128%29 Jul →
dust213–40.1310%29 Jul →
dust22–13-0.046%28 Jul →
inferno13–7-0.0812%28 Jul →
nuke6–13-0.1021%28 Jul →
dust213–70.099%28 Jul →
anubis11–13-0.0116%28 Jul →
mirage3–13-0.0013%28 Jul →
ancient11–13-0.119%27 Jul →
cache0–13-0.0722%27 Jul →
inferno1–13-0.077%27 Jul →
anubis15–15-0.0112%27 Jul →
ancient5–130.024%26 Jul →
nuke6–13-0.0121%26 Jul →
mirage11–13-0.083%26 Jul →
cache3–13-0.0532%26 Jul →
inferno13–20.0827%26 Jul →
nuke9–13-0.0010%26 Jul →
dust213–70.0514%26 Jul →
ancient7–13-0.128%24 Jul →
dust21–13-0.1331%24 Jul →
mirage13–16-0.0517%24 Jul →
anubis13–8-0.037%23 Jul →
anubis6–13-0.0317%22 Jul →
poseidon2–9-0.290%22 Jul →
mirage6–13-0.032%21 Jul →
dust213–100.0320%21 Jul →
ancient10–13-0.0431%21 Jul →
dust24–130.0213%20 Jul →
ancient1–13-0.1212%20 Jul →
nuke13–8-0.0821%20 Jul →
dust22–13-0.0127%20 Jul →
mirage5–130.0213%20 Jul →
dust28–130.0910%19 Jul →
anubis5–13-0.0123%18 Jul →
ancient15–150.034%18 Jul →
nuke10–13-0.0010%18 Jul →
anubis7–13-0.0419%18 Jul →
dust25–13-0.0617%16 Jul →
ancient0–13-0.0615%16 Jul →
mirage11–13-0.0239%16 Jul →
mirage13–100.0311%16 Jul →
nuke13–50.0819%16 Jul →
ancient13–10-0.0211%16 Jul →
dust25–13-0.059%16 Jul →
anubis9–130.0415%16 Jul →
mirage13–100.0221%15 Jul →
nuke6–13-0.0915%15 Jul →
mirage13–20.0419%15 Jul →
ancient13–8-0.0521%15 Jul →
anubis9–13-0.0126%15 Jul →
dust212–12-0.0033%14 Jul →
nuke4–130.0217%14 Jul →
cache4–13-0.0914%14 Jul →
anubis7–130.0211%14 Jul →
dust213–11-0.0311%14 Jul →
ancient10–13-0.0413%14 Jul →
poseidon9–30.0313%14 Jul →
ancient13–10-0.018%12 Jul →
mirage13–9-0.0311%12 Jul →
anubis13–11-0.0210%12 Jul →
nuke13–20.0429%12 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.