Zipfel_Klatscher

Zipfel_Klatscher — CS2 Stats

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

1,529Tracked matches50%Win rate2023Tracked since
2,193Hours in CS21Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating6,316Light Blue band · top ~72.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (3 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: 6,316 +270 16 Jul – 29 Oct · 29 days played
3,8686,316peak 6,31616 Jul29 Oct
6,316Peak Premier in tracked matches
33Days played since 2026-07-16

Premier CS Rating

  • At peak — 6,316
  • +1,317 over 30 days · improving
  • +1,458 over 90 days
  • Next: Blue band at 10,000 — 3,684 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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate36.3%39.9%42.0%5.7% short
Shot accuracy7.4%7.0%9.6%2.2% short
Kill/death ratio0.840.920.980.14 short
Match win rate33.3%42.3%43.8%10.5% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the 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_KlatscherPREMIER6,316 · Light Blue 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

Aim46
Positioning64
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY35–58–7Last 10035%Win rateWWLTTLWLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.9pp headshot accuracy · −24ms reaction

Win rate 0pp 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 609ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 583ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

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 (+2.8 against its own average).

Aim4.6
Utility3.3
Positioning6.4
Opening Duels4.8
Clutch0.0

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

s1mple

Plays most like s1mple 76% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.6
Positioning6.4
Utility3.3
Mechanics3.6
Opening Duels6.6
Win Impact5.0

Composite 4.4/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time595ms−33ms
first ⅓ avg 628ms → last ⅓ avg 595ms
Headshot accuracy15.6%−0.1%
first ⅓ avg 15.7% → last ⅓ avg 15.6%

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

0.13Best 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

4Longest win streak
W2Current streak
5–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 55% over 11ancientWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2111–1052%0.01
mirageD196–1332%-0.01
nukeC156–940%-0.02
anubisD134–931%-0.01
infernoA116–555%-0.04
ancientD111–109%-0.04
cacheD81–713%-0.04
train—10–10%-0.02
poseidon—10–10%-0.29

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,256Lifetime kills
0.84K/D
4,052Matches
33.3%Match win rate
36.3%Headshot %
7.4%Shot accuracy · Top 50% of Light Blue band
4,083MVPs
1,002Hours (in match)
1,977Bombs planted
424Bombs defused

Most-used weapons

Lifetime map wins

3,622dust2
3,417nuke
2,537inferno
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.

14.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
31.1%Spray accuracy
66.3%Counter-strafing
9.4°Preaim
600msReaction time
69.8%T opening success
43.0%CT opening success
0.40Enemies flashed / flash
3.7%Flash assists
10.04HE damage / grenade
5.09Flashes / 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 14.0909% — 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 0.4011 — 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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–50.019%29 Oct →
inferno13–10-0.0613%29 Oct →
dust23–13-0.0115%29 Oct →
cache15–15-0.019%22 Oct →
dust215–150.0510%22 Oct →
cache2–13-0.1317%22 Oct →
dust213–11-0.0235%21 Oct →
inferno10–13-0.028%21 Oct →
nuke13–50.0318%21 Oct →
nuke8–13-0.086%21 Oct →
nuke16–12-0.0112%20 Oct →
cache9–13-0.0520%20 Oct →
anubis9–13-0.0623%20 Oct →
inferno7–13-0.0730%20 Oct →
nuke5–13-0.0129%20 Oct →
inferno3–13-0.1027%20 Oct →
inferno13–11-0.0613%20 Oct →
mirage8–13-0.027%18 Oct →
anubis13–5-0.0317%18 Oct →
mirage13–5-0.043%13 Oct →
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 →

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.