DerDummbabbler

DerDummbabbler — CS2 Stats

DE76561197980474606[U:1:20208878]Steam profile ↗✓ No bans

3,316Tracked matches43%Win rate2020Tracked since
6,688Hours in CS35Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
Premier CS Rating13,842Blue band · top ~34.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 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: 13,842 +318 24 Sept – 3 Nov · 21 days played
13,52416,002peak 16,00224 Sept3 Nov
16,571Peak Premier in tracked matches
22Days played since 2026-09-24

Premier CS Rating

  • 2,160 below peak (16,002)
  • -1,337 over 30 days · declining
  • Next: Purple band at 15,000 — 1,158 to go
  • Reached: Purple band · 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 rate36.9%41.3%41.8%4.9% short
Shot accuracy13.1%12.7%12.2%above
Kill/death ratio0.900.950.980.08 short
Match win rate41.0%42.6%43.3%2.2% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot 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.GGDerDummbabblerFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER13,842 · 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

Aim69
Positioning45
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLWLLWLWLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.9pp headshot accuracy · −9ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 539ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 536ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 541ms

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 (+2.5 against its own average).

Aim6.9
Utility5.3
Positioning4.5
Opening Duels1.5
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

ZywOo

Plays most like ZywOo 89% 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 →

CSDB Rating breakdown

Aim6.9
Positioning4.5
Utility5.3
Mechanics6.4
Opening Duels2.7
Win Impact2.8

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time536ms−5ms
first ⅓ avg 541ms → last ⅓ avg 536ms
Headshot accuracy10.0%−3.9%
first ⅓ avg 13.9% → last ⅓ avg 10.0%

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

0.17Best match rating · 13–0 · dust2, 20 Oct →
28%Best headshot accuracy · 9–13 · dust2, 25 Sept →
375msFastest reaction time · 4–13 · anubis, 29 Sept →
13–0Biggest win · dust2, 20 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 63% over 16nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2411–1346%-0.01
dust2C198–1142%-0.02
anubisA1810–856%0.01
cacheA1610–663%-0.01
mirageB115–645%-0.01
nukeD81–713%-0.04
ancient—32–167%-0.04
rush_001—11–0100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,085Lifetime kills
0.90K/D
8,338Matches
41.0%Match win rate
36.9%Headshot %
13.1%Shot accuracy · Top 50% of Level 2 players
15,481MVPs
3,062Hours (in match)
8,930Bombs planted
1,657Bombs defused

Most-used weapons

AK-4729,605
AWP9,148
P907,695
Tec-95,019
UMP-452,836

Lifetime map wins

15,491inferno
8,476dust2
2,978nuke
2,965train
2,426cbble
2,137vertigo
786lake
398office

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

Faceit stats

Combat

629Matches
44%Win rate
0.88Avg K/D
72.7ADR
32%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

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.

10.5%Headshot accuracy
36.9%Accuracy (enemy spotted)
39.0%Spray accuracy
78.6%Counter-strafing
9.6°Preaim
536msReaction time
43.2%T opening success
38.6%CT opening success
0.46Enemies flashed / flash
4.4%Flash assists
12.60HE damage / grenade
4.00Flashes / 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 10.4673% — 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 0.4611 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 38.5814% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–130.027%3 Nov →
anubis13–4-0.042%3 Nov →
inferno8–130.007%3 Nov →
inferno8–13-0.0412%3 Nov →
anubis13–110.017%3 Nov →
dust211–130.0020%3 Nov →
inferno13–70.018%31 Oct →
dust26–130.006%30 Oct →
cache8–13-0.086%30 Oct →
anubis13–90.0111%30 Oct →
mirage6–13-0.0610%30 Oct →
anubis10–130.0712%30 Oct →
inferno5–13-0.093%30 Oct →
mirage13–80.009%29 Oct →
nuke14–16-0.059%29 Oct →
anubis16–12-0.0114%29 Oct →
inferno13–30.0516%29 Oct →
inferno9–50.066%27 Oct →
cache13–80.0112%27 Oct →
dust211–13-0.066%27 Oct →
cache13–9-0.1010%27 Oct →
inferno3–13-0.0322%27 Oct →
cache13–16-0.0212%27 Oct →
dust29–13-0.0818%27 Oct →
dust216–14-0.0422%23 Oct →
cache13–40.017%23 Oct →
dust25–13-0.083%23 Oct →
nuke7–13-0.067%23 Oct →
inferno16–14-0.0210%23 Oct →
inferno3–13-0.0713%22 Oct →
cache13–10-0.017%22 Oct →
nuke8–13-0.057%22 Oct →
ancient13–7-0.0410%22 Oct →
cache13–80.0721%22 Oct →
inferno11–130.026%20 Oct →
mirage3–13-0.0510%20 Oct →
dust213–00.1710%20 Oct →
nuke5–13-0.080%20 Oct →
inferno6–13-0.0312%20 Oct →
cache8–13-0.0023%20 Oct →
anubis13–30.037%16 Oct →
inferno13–6-0.007%16 Oct →
mirage9–13-0.013%16 Oct →
cache13–11-0.0110%16 Oct →
inferno4–13-0.0415%16 Oct →
mirage13–100.036%15 Oct →
dust24–13-0.0711%15 Oct →
anubis7–130.0313%15 Oct →
dust213–90.0214%15 Oct →
cache11–130.0019%15 Oct →
dust23–13-0.085%13 Oct →
inferno13–11-0.0726%13 Oct →
inferno10–130.0218%13 Oct →
cache8–2-0.085%13 Oct →
anubis13–80.0520%13 Oct →
mirage16–140.0011%13 Oct →
dust26–13-0.019%9 Oct →
inferno11–13-0.0119%9 Oct →
dust213–2-0.0011%9 Oct →
anubis14–16-0.0611%9 Oct →
dust25–13-0.0510%9 Oct →
mirage10–13-0.0310%8 Oct →
nuke11–13-0.028%8 Oct →
inferno13–40.0219%8 Oct →
anubis6–13-0.057%8 Oct →
cache13–11-0.0010%8 Oct →
anubis13–90.106%6 Oct →
anubis13–4-0.006%6 Oct →
mirage5–13-0.032%6 Oct →
nuke7–13-0.0213%6 Oct →
inferno7–130.0722%6 Oct →
nuke13–9-0.0117%6 Oct →
cache15–150.0610%2 Oct →
inferno13–60.0510%2 Oct →
mirage13–7-0.0013%2 Oct →
nuke7–13-0.0519%2 Oct →
cache16–140.0917%1 Oct →
anubis12–16-0.0222%1 Oct →
dust213–80.0116%1 Oct →
anubis13–50.0215%1 Oct →
cache14–160.0012%1 Oct →
rush_0018–5-0.0322%30 Sept →
inferno13–90.0116%29 Sept →
mirage6–13-0.057%29 Sept →
anubis13–100.0412%29 Sept →
anubis4–13-0.0214%29 Sept →
mirage13–20.049%29 Sept →
dust213–10-0.0427%29 Sept →
dust213–4-0.0124%28 Sept →
ancient8–13-0.0911%28 Sept →
cache13–7-0.038%27 Sept →
inferno2–13-0.0714%27 Sept →
ancient13–50.007%25 Sept →
inferno13–30.0314%25 Sept →
dust29–13-0.0428%25 Sept →
inferno5–13-0.097%25 Sept →
dust213–6-0.0113%25 Sept →
inferno13–70.038%24 Sept →
dust214–160.0110%24 Sept →
anubis7–13-0.0113%24 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 →

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