Pumpen Fredy

Pumpen Fredy — CS2 Stats

76561198050494436[U:1:90228708]Steam profile ↗✓ No bans

905Tracked matches56%Win rate2020Tracked since
3,386Hours in CS2Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Aug 2026 (70 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: 9,999 -449 4 Aug – 24 Aug · 12 days played
9,03411,084peak 11,0844 Aug24 Aug
11,326Peak Premier in tracked matches
41Days played since 2026-07-22

Premier CS Rating

  • 1,085 below peak (11,084)
  • Next: Blue band at 10,000 — 1 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.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate37.9%41.3%41.8%3.9% short
Shot accuracy20.1%12.7%12.2%above
Kill/death ratio1.060.950.98above
Match win rate34.9%42.6%43.3%8.4% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPumpen FredyFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER9,999 · 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

Aim48
Positioning50
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWTLWWTWWLT

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +2.1pp headshot accuracy · −124ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 494ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 485ms

Last 20

  • 7–8–5 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 547ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim4.8
Utility5.8
Positioning5.0
Opening Duels1.5

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

iM

Plays most like iM 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Counter-strafing. Only 63% 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

Aim4.8
Positioning5.0
Utility5.8
Mechanics2.9
Opening Duels3.1
Win Impact7.0

Composite 4.3/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time550ms−41ms
first ⅓ avg 591ms → last ⅓ avg 550ms
Headshot accuracy13.6%+2.2%
first ⅓ avg 11.4% → last ⅓ avg 13.6%

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

0.18Best match rating · 13–6 · mirage, 10 Aug →
33%Best headshot accuracy · 10–13 · office, 13 Oct →
383msFastest reaction time · 9–13 · inferno, 21 Aug →
13–1Biggest win · inferno, 6 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 78% over 9anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
officeA2515–1060%-0.00
infernoD185–1328%-0.02
cacheS97–278%0.01
dust2C94–544%-0.01
mirageA85–363%0.04
nukeC83–538%0.02
anubisD61–517%-0.03
ancientC52–340%-0.01
vertigo—43–175%0.08
overpass—30–30%-0.04
shelter—31–233%-0.02
fachwerk—10–10%-0.04
train—11–0100%0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,671Lifetime kills
1.06K/D · Top 50% of Level 2 players
4,918Matches
34.9%Match win rate
37.9%Headshot %
20.1%Shot accuracy · Top 5% of Level 2 players
6,398MVPs
1,333Hours (in match)
2,468Bombs planted
562Bombs defused

Most-used weapons

AK-479,245
AUG3,847
AWP3,683
MAG-73,444
Nova3,179
MP73,024
SG 5532,885
MAC-102,687

Lifetime map wins

5,532office
4,227inferno
2,772dust2
1,934nuke
1,692vertigo
683train
433lake
339safehouse

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

Faceit stats

Combat

24Matches
38%Win rate
0.92Avg K/D
—ADR
40%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.314.0
Anubis1100%1.2018.0
Dust21100%0.8012.0

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.

13.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
32.4%Spray accuracy
62.9%Counter-strafing
10.9°Preaim
538msReaction time
49.8%T opening success
35.3%CT opening success
0.53Enemies flashed / flash
4.0%Flash assists
10.97HE damage / grenade
8.31Flashes / 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 13.4815% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.3378% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–90.0317%1 Nov →
office12–12-0.0314%23 Oct →
inferno11–13-0.0413%22 Oct →
cache13–30.058%22 Oct →
office13–50.0511%19 Oct →
office12–120.139%19 Oct →
office13–20.0129%19 Oct →
office13–50.1010%19 Oct →
office10–13-0.0433%13 Oct →
mirage12–120.0313%13 Oct →
overpass12–12-0.0411%12 Oct →
cache1–13-0.0220%5 Oct →
cache13–30.0217%2 Oct →
cache13–5-0.022%1 Oct →
overpass5–13-0.0428%28 Sept →
nuke11–13-0.0311%28 Sept →
mirage3–13-0.045%23 Sept →
overpass1–13-0.0522%22 Sept →
vertigo12–120.1314%20 Sept →
mirage6–13-0.007%20 Sept →
dust213–11-0.029%20 Sept →
inferno13–8-0.0216%18 Sept →
office13–8-0.0212%11 Sept →
inferno13–20.0712%27 Aug →
cache3–13-0.0117%27 Aug →
inferno1–13-0.0313%27 Aug →
inferno13–50.0314%27 Aug →
cache13–90.0310%27 Aug →
office8–13-0.020%26 Aug →
office13–20.0117%26 Aug →
ancient13–6-0.0312%24 Aug →
nuke13–40.0317%24 Aug →
vertigo13–20.158%23 Aug →
inferno9–13-0.048%21 Aug →
nuke13–50.1417%21 Aug →
cache13–90.0615%21 Aug →
dust211–13-0.0215%20 Aug →
mirage13–40.107%19 Aug →
nuke2–13-0.0111%17 Aug →
office7–13-0.107%15 Aug →
inferno11–130.035%15 Aug →
dust29–13-0.0911%15 Aug →
inferno12–16-0.037%13 Aug →
fachwerk8–13-0.0410%13 Aug →
dust213–50.1217%12 Aug →
inferno0–13-0.0713%12 Aug →
nuke9–130.029%12 Aug →
office13–11-0.0413%11 Aug →
mirage13–110.049%11 Aug →
inferno3–13-0.018%10 Aug →
mirage13–60.1823%10 Aug →
cache13–10-0.054%10 Aug →
dust22–13-0.0911%10 Aug →
nuke10–13-0.0413%10 Aug →
office7–13-0.0413%7 Aug →
office3–0-0.030%7 Aug →
office13–10-0.0211%7 Aug →
office13–10-0.065%7 Aug →
inferno13–16-0.076%7 Aug →
dust27–13-0.074%7 Aug →
anubis10–13-0.037%7 Aug →
ancient9–13-0.0112%6 Aug →
anubis13–110.005%6 Aug →
inferno13–10.039%6 Aug →
train13–50.116%6 Aug →
mirage13–5-0.008%6 Aug →
cache13–100.016%6 Aug →
dust211–130.0510%5 Aug →
anubis6–13-0.048%5 Aug →
inferno5–13-0.0418%5 Aug →
inferno6–130.0220%4 Aug →
inferno13–5-0.0221%4 Aug →
mirage13–40.029%4 Aug →
office2–13-0.0016%3 Aug →
ancient13–80.0310%2 Aug →
office13–10-0.0118%2 Aug →
inferno0–9-0.025%2 Aug →
ancient4–130.028%2 Aug →
nuke13–10.0310%2 Aug →
dust213–50.066%2 Aug →
dust213–11-0.0616%1 Aug →
office13–80.0515%1 Aug →
vertigo13–60.0411%1 Aug →
office10–13-0.0311%31 Jul →
nuke7–130.0311%30 Jul →
anubis3–13-0.109%30 Jul →
vertigo13–5-0.0210%29 Jul →
office5–13-0.0217%29 Jul →
shelter4–130.012%29 Jul →
office8–13-0.039%28 Jul →
inferno9–130.019%28 Jul →
office13–50.0317%28 Jul →
shelter13–6-0.019%28 Jul →
inferno9–13-0.069%26 Jul →
shelter4–13-0.074%26 Jul →
ancient6–13-0.068%26 Jul →
anubis4–13-0.058%26 Jul →
anubis5–130.038%22 Jul →
office13–60.0110%22 Jul →
office13–60.0724%22 Jul →

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 →

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