Pumpen-Peter

Pumpen-Peter — CS2 Stats

DE76561198261465637[U:1:301199909]Steam profile ↗✓ No bans

915Tracked matches38%Win rate2020Tracked since
3,911Hours in CS1Hrs last 2 wks
CSDB Rating3.3 Learning
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=230), 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 1 medianLevel 2 medianvs Level 2
Headshot rate35.0%41.1%41.2%6.1% short
Shot accuracy14.8%14.1%12.5%above
Kill/death ratio0.820.970.960.14 short
Match win rate39.3%41.9%42.8%3.5% short

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPumpen-PeterFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning33
Utility27

0–100 skill scores via Leetify.

Recent form

COLD38548Last 10038%Win rateTWLLLLWLLT

Last 10 vs previous 10: +0pp win rate · +0.08 avg rating

Player DNA

Aim4.7
Aggression3.2
Utility2.7
Positioning3.3
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 67% playstyle similarity

Most alike: opening-fight frequency, 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. 684ms 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

Aim4.7
Positioning3.3
Utility2.7
Mechanics4.7
Opening Duels0.0
Win Impact1.2

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time656ms−60ms
first ⅓ avg 716ms → last ⅓ avg 656ms
Headshot accuracy17.3%+0.7%
first ⅓ avg 16.5% → last ⅓ avg 17.3%

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.

Highlights

0.20Best rating — debris 9–5
132Biggest win — inferno
4Longest win streak
84In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 83% over 6cacheWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B20101050%-0.04
debrisD1541127%-0.04
ancientB136746%-0.03
infernoD124833%-0.04
mirageB105550%-0.02
anubisD72529%-0.04
overpassS65183%-0.00
cacheD6060%-0.04
nuke41325%-0.04
eldorado31233%-0.04
vertigo1010%0.03
office1010%-0.04
shelter1010%0.01
italy1010%0.03

Across the last 100 tracked matches.

Lifetime stats

99,694Lifetime kills
0.82K/D
5,725Matches
39.3%Match win rate
35.0%Headshot %
14.8%Shot accuracy · Top 50% of Level 1 players
12,353MVPs
1,912Hours (in match)
2,753Bombs planted
1,008Bombs defused

Most-used weapons

AK-4719,550
AWP11,634
P904,382
P2503,755
MP73,548
SSG 082,991

Lifetime map wins

9,801dust2
3,941inferno
1,174nuke
1,098train
1,033vertigo
896cbble
522office
432lake

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

Faceit stats

Combat

96Matches
48%Win rate
0.95Avg K/D
ADR
42%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

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.

17.3%Headshot accuracy
32.1%Accuracy (enemy spotted)
40.0%Spray accuracy
71.3%Counter-strafing
11.1°Preaim
684msReaction time
28.6%T opening success
28.6%CT opening success
0.30Enemies flashed / flash
4.0%Flash assists
10.86HE damage / grenade
2.22Flashes / 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. 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 0.2974 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.5832% — below the 40% mark we flag

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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
vertigo12–120.0326%16 Aug
overpass9–70.1216%14 Aug
ancient2–13-0.1024%13 Aug
dust20–3-0.080%8 Aug
ancient5–130.0210%7 Aug
inferno5–90.0715%4 Aug
debris9–50.2019%18 Jul
debris3–9-0.236%18 Jul
debris5–90.0027%18 Jul
eldorado8–80.0628%17 Jul
debris4–9-0.066%16 Jul
debris8–80.0216%16 Jul
debris9–70.0931%16 Jul
debris7–9-0.0312%15 Jul
debris2–9-0.1717%15 Jul
debris7–9-0.1334%14 Jul
eldorado4–9-0.1423%14 Jul
debris2–9-0.155%14 Jul
debris1–9-0.180%14 Jul
debris9–40.0724%13 Jul
debris5–9-0.054%13 Jul
eldorado9–6-0.0422%13 Jul
debris9–30.1017%12 Jul
debris8–8-0.0718%12 Jul
office9–13-0.0410%12 Jul
cache12–12-0.0614%11 Jul
ancient13–9-0.0318%11 Jul
dust213–6-0.0613%11 Jul
shelter12–120.0132%11 Jul
cache1–13-0.0518%11 Jul
dust26–13-0.0438%11 Jul
dust28–13-0.1018%11 Jul
mirage13–8-0.0011%11 Jul
ancient5–13-0.0314%9 Jul
mirage16–14-0.0312%5 Jul
dust213–7-0.0121%1 Jul
dust213–80.0227%1 Jul
inferno9–40.0618%30 Jun
nuke15–15-0.0118%30 Jun
dust213–80.0210%27 Jun
ancient2–13-0.0624%27 Jun
mirage13–60.0114%27 Jun
dust25–13-0.0320%27 Jun
inferno6–13-0.0213%27 Jun
anubis9–13-0.066%26 Jun
mirage4–1-0.0013%26 Jun
overpass10–13-0.0314%25 Jun
inferno10–13-0.0511%25 Jun
dust23–13-0.0812%25 Jun
ancient6–13-0.0931%25 Jun
ancient13–9-0.0418%23 May
overpass13–9-0.029%23 May
cache8–130.0012%2 May
cache5–13-0.0412%2 May
cache11–13-0.0113%1 May
dust27–13-0.1219%1 May
cache10–13-0.0821%1 May
overpass13–9-0.0512%11 Apr
mirage13–8-0.0415%11 Apr
anubis13–5-0.0614%11 Apr
dust213–10-0.0416%11 Apr
anubis12–12-0.057%10 Apr
anubis6–13-0.0317%10 Apr
ancient13–11-0.060%8 Apr
ancient13–6-0.0113%8 Apr
mirage9–13-0.0317%8 Apr
inferno13–8-0.0614%8 Apr
dust213–60.0426%8 Apr
nuke13–11-0.0713%7 Apr
anubis4–13-0.0731%7 Apr
dust24–13-0.078%7 Apr
dust213–7-0.0219%6 Apr
inferno13–10-0.028%6 Apr
ancient13–10-0.0112%6 Apr
dust213–6-0.0813%6 Apr
inferno10–13-0.0813%5 Apr
italy9–130.0319%3 Apr
dust210–13-0.0214%3 Apr
inferno10–13-0.0519%28 Mar
anubis9–130.028%28 Mar
inferno13–20.038%28 Mar
dust27–13-0.0612%28 Mar
nuke8–13-0.0519%28 Mar
anubis16–14-0.0218%28 Mar
mirage7–13-0.0312%28 Mar
mirage4–13-0.0430%27 Mar
overpass13–10-0.0121%27 Mar
nuke11–13-0.0524%27 Mar
inferno9–13-0.085%27 Mar
ancient13–110.0120%27 Mar
dust23–13-0.0380%27 Mar
inferno5–13-0.069%26 Mar
ancient2–60.068%26 Mar
dust213–11-0.0222%26 Mar
mirage3–13-0.0717%21 Mar
ancient1–13-0.110%21 Mar
overpass13–6-0.0410%21 Mar
inferno1–9-0.160%21 Mar
mirage3–13-0.027%1 Mar
dust213–10-0.0221%27 Feb

Match data via Leetify.

Recent teammates

Milestones

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