Krümelmonster

Krümelmonster — CS2 Stats

76561198042622111[U:1:82356383]Steam profile ↗✓ No bans

291Tracked matches50%Win rate2020Tracked since
1,539Hours in CS
CSDB Rating3.9 LearningSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,331 -131 31 Jan – 24 Jun · 21 days played
12,26617,182peak 17,18231 Jan24 Jun
17,507Peak Premier in tracked matches
25Days played since 2026-01-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim37
Positioning39
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLLLTLWWWWW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +7.6pp headshot accuracy · −14ms reaction

Win rate down 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 708ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 660ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 667ms

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).

Aim3.7
Utility4.5
Positioning3.9
Opening Duels0.0

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

iM

Plays most like iM 73% 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

T-side openings. Opening success drops from 34% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 689ms 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

Aim3.7
Positioning3.9
Utility4.5
Mechanics5.4
Opening Duels0.5
Win Impact5.0

Composite 3.9/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time688ms+39ms
first ⅓ avg 649ms → last ⅓ avg 688ms
Headshot accuracy18.9%−1.4%
first ⅓ avg 20.3% → last ⅓ avg 18.9%

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 · inferno, 27 Feb →
41%Best headshot accuracy · 13–3 · mirage, 16 Feb →
469msFastest reaction time · 13–1 · ancient, 24 Jun →
13–1Biggest win · ancient, 24 Jun →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L3Current streak
8–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 64% over 14nukeWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A2113–862%-0.01
infernoB179–853%-0.00
mirageB178–947%-0.00
ancientA149–564%-0.00
nukeD133–1023%-0.01
overpassD82–625%0.00
anubisD72–529%-0.02
cache—31–233%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,842Lifetime kills
0.97K/D
3,392Matches
43.1%Match win rate
41.6%Headshot %
17.4%Shot accuracy · Top 25% of tracked players
6,027MVPs
1,539Hours (in match)
2,098Bombs planted
820Bombs defused

Most-used weapons

AK-4724,100
AWP6,592
P2502,757
Tec-91,973
P901,904

Lifetime map wins

7,487dust2
5,267inferno
2,051cbble
1,593train
1,374nuke
394vertigo
147lake
88stmarc

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.6%Headshot accuracy
27.2%Accuracy (enemy spotted)
26.0%Spray accuracy
74.4%Counter-strafing
9.7°Preaim
689msReaction time
16.5%T opening success
33.7%CT opening success
0.56Enemies flashed / flash
3.0%Flash assists
11.45HE damage / grenade
3.81Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.813 — below the 4 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 16.4682% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0521%17 Jul →
dust24–13-0.0526%17 Jul →
anubis2–13-0.0523%17 Jul →
inferno15–150.0321%17 Jul →
dust214–160.0027%24 Jun →
ancient13–1-0.0221%24 Jun →
ancient13–11-0.056%23 Jun →
inferno13–80.0226%23 Jun →
dust213–4-0.0113%23 Jun →
dust213–110.0322%23 Jun →
inferno13–30.0417%21 Jun →
dust216–14-0.0412%21 Jun →
ancient13–100.0312%11 Jun →
dust213–70.0212%11 Jun →
overpass13–30.0411%11 Jun →
inferno9–13-0.0610%11 Jun →
cache13–9-0.0311%7 Jun →
dust213–7-0.0312%7 Jun →
dust213–6-0.0818%7 Jun →
nuke10–13-0.0116%7 Jun →
dust24–13-0.0022%2 Jun →
mirage15–15-0.0619%2 Jun →
cache7–13-0.0518%20 May →
inferno5–13-0.0228%20 May →
overpass10–13-0.0112%20 May →
inferno13–11-0.0220%18 May →
dust27–130.0624%18 May →
ancient6–13-0.0329%15 May →
dust25–13-0.0229%15 May →
inferno2–13-0.1033%15 May →
ancient13–9-0.0716%10 Apr →
inferno7–13-0.0227%10 Apr →
inferno6–9-0.0816%10 Apr →
inferno13–9-0.0227%10 Mar →
dust213–11-0.0516%10 Mar →
nuke5–13-0.0012%2 Mar →
nuke1–100.0719%2 Mar →
inferno3–10.127%2 Mar →
mirage13–50.0613%2 Mar →
ancient3–13-0.0314%2 Mar →
ancient6–13-0.0123%28 Feb →
nuke15–15-0.0420%28 Feb →
dust216–12-0.0115%28 Feb →
inferno5–13-0.0416%27 Feb →
mirage10–13-0.0518%27 Feb →
nuke13–110.0321%27 Feb →
ancient11–130.0232%27 Feb →
ancient8–30.0622%27 Feb →
inferno13–40.1325%27 Feb →
dust213–4-0.0024%27 Feb →
mirage8–130.0931%27 Feb →
overpass7–130.0416%27 Feb →
anubis4–13-0.033%27 Feb →
inferno7–13-0.0229%24 Feb →
mirage9–130.0311%24 Feb →
dust213–40.0426%24 Feb →
nuke8–13-0.1222%24 Feb →
nuke0–50.1029%22 Feb →
anubis2–13-0.0212%22 Feb →
overpass6–13-0.0020%19 Feb →
nuke13–4-0.0319%19 Feb →
dust213–80.0413%19 Feb →
ancient13–60.0127%19 Feb →
dust211–13-0.0430%19 Feb →
ancient13–50.0123%19 Feb →
anubis13–90.0322%19 Feb →
ancient5–13-0.0221%17 Feb →
inferno13–20.0515%17 Feb →
mirage15–15-0.0524%17 Feb →
mirage13–40.049%17 Feb →
anubis5–13-0.0724%17 Feb →
mirage13–30.0241%16 Feb →
mirage4–13-0.0429%16 Feb →
anubis9–13-0.0131%16 Feb →
overpass13–9-0.0517%16 Feb →
ancient13–30.0421%16 Feb →
nuke5–13-0.0019%16 Feb →
mirage7–13-0.0710%16 Feb →
nuke9–13-0.074%4 Feb →
mirage13–4-0.0619%4 Feb →
mirage13–7-0.0515%4 Feb →
overpass10–13-0.0129%4 Feb →
mirage13–90.0123%4 Feb →
inferno13–3-0.0322%4 Feb →
overpass1–8-0.0018%4 Feb →
dust213–7-0.0417%2 Feb →
nuke6–13-0.0521%2 Feb →
nuke13–30.0216%2 Feb →
dust26–13-0.0622%31 Jan →
nuke8–13-0.0119%31 Jan →
ancient16–140.0223%31 Jan →
mirage13–70.0721%31 Jan →
mirage11–13-0.0616%31 Jan →
dust213–50.0214%31 Jan →
dust26–13-0.0421%30 Jan →
inferno13–80.0015%30 Jan →
anubis13–50.0336%30 Jan →
mirage13–60.0317%30 Jan →
overpass0–60.0325%30 Jan →
mirage15–150.0818%26 Jan →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
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.