krachbummente

krachbummente — CS2 Stats

76561197983782663[U:1:23516935]Steam profile ↗✓ No bans

448Tracked matches52%Win rate2020Tracked since
2,658Hours in CS17Hrs last 2 wks
CSDB Rating7.5 StrongSupport
Ladder ranks via Leetify

Performance scores

Aim94
Positioning62
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateWLLWLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −2.1pp headshot accuracy · −2ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 15%
  • Avg reaction 559ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 17%
  • Avg reaction 545ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 18%
  • Avg reaction 546ms

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 (+2.2 against its own average).

Aim9.4
Utility6.8
Positioning6.2
Opening Duels5.5
Clutch0.0

Sharp aimerExcellent counter-strafingStrong CT-side opener

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

device

Plays most like device 94% playstyle similarity

Most alike: utility contribution, 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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 61% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim9.4
Positioning6.2
Utility6.8
Mechanics8.6
Opening Duels5.2
Win Impact5.6

Composite 7.5/10 (Strong), 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 rating0.06+0.03
first ⅓ avg 0.04 → last ⅓ avg 0.06
Reaction time551ms−103ms
first ⅓ avg 654ms → last ⅓ avg 551ms
Headshot accuracy19.3%+0.2%
first ⅓ avg 19.2% → last ⅓ avg 19.3%

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.

Personal bests

0.24Best match rating · 5–0 · mirage, 6 Oct →
50%Best headshot accuracy · 4–9 · vertigo, 22 Apr →
422msFastest reaction time · 13–11 · inferno, 1 Jul →
13–1Biggest win · dust2, 5 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–9In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 80% over 5anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C3716–2143%0.06
cacheC187–1139%0.05
mirageS118–373%0.05
ancientB115–645%0.04
infernoC94–544%0.04
anubisD61–517%0.03
nukeS54–180%0.03
overpass—21–150%-0.00
vertigo—10–10%-0.02

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

105,170Lifetime kills
1.31K/D · Top 10% of tracked players
3,087Matches
47.8%Match win rate · Top 50% of tracked players
55.8%Headshot % · Top 10% of tracked players
14.5%Shot accuracy · Top 50% of tracked players
8,226MVPs
3,143Hours (in match)
2,478Bombs planted
1,018Bombs defused

Most-used weapons

AK-4739,471
AWP8,146
P2502,651
SSG 081,617
FAMAS1,442

Lifetime map wins

15,590dust2
5,906inferno
1,994nuke
801train
787cbble
334vertigo
42aztec
27dust

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

Faceit stats

Combat

168Matches
58%Win rate
1.39Avg K/D
101.3ADR
46%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWWW

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.

19.7%Headshot accuracy
43.2%Accuracy (enemy spotted)
45.1%Spray accuracy
88.6%Counter-strafing
7.1°Preaim
561msReaction time
40.7%T opening success
61.1%CT opening success
0.56Enemies flashed / flash
7.6%Flash assists
12.15HE damage / grenade
16.75Flashes / match

Recommended for you

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
mirage13–110.0011%9 Oct →
inferno10–130.0415%7 Oct →
dust29–130.1117%6 Oct →
mirage5–00.2417%6 Oct →
inferno8–130.0716%6 Oct →
cache7–130.0618%6 Oct →
ancient13–20.0929%29 Sept →
mirage13–30.1015%29 Sept →
cache13–70.0326%29 Sept →
cache13–100.0610%27 Sept →
dust29–130.0625%27 Sept →
dust213–60.1832%22 Aug →
dust28–130.0315%22 Aug →
dust213–90.1120%22 Aug →
dust213–20.0815%22 Aug →
cache11–130.0915%22 Aug →
dust24–13-0.0317%22 Aug →
dust212–120.0724%19 Aug →
cache11–130.0316%19 Aug →
dust213–90.0614%19 Aug →
cache13–110.0414%11 Aug →
dust211–130.0624%11 Aug →
dust213–70.0620%11 Aug →
dust27–130.0120%5 Aug →
dust28–130.0619%5 Aug →
dust213–10.1023%5 Aug →
dust213–100.0025%29 Jul →
dust211–130.0729%29 Jul →
inferno0–20.000%23 Jul →
ancient13–100.0329%23 Jul →
mirage13–40.0614%23 Jul →
mirage13–90.0624%15 Jul →
anubis8–130.0428%15 Jul →
cache12–12-0.0116%15 Jul →
dust24–130.0333%15 Jul →
cache8–130.0423%1 Jul →
cache10–13-0.0021%1 Jul →
inferno13–110.0724%1 Jul →
dust211–130.0632%1 Jul →
ancient13–60.1426%24 Jun →
dust213–90.1331%24 Jun →
cache3–13-0.0726%24 Jun →
dust213–30.1138%24 Jun →
cache13–110.0621%18 Jun →
cache13–70.1220%18 Jun →
cache5–130.1132%16 Jun →
nuke13–100.0929%16 Jun →
anubis5–130.0024%16 Jun →
dust213–90.0716%16 Jun →
inferno13–110.0928%10 Jun →
dust26–130.0129%10 Jun →
dust22–130.0539%10 Jun →
dust26–130.0533%27 May →
ancient5–13-0.0118%27 May →
dust22–130.0428%27 May →
cache12–120.0613%6 May →
cache12–120.0233%6 May →
cache13–80.0622%6 May →
cache5–13-0.0022%29 Apr →
overpass5–13-0.0314%29 Apr →
cache13–70.1429%29 Apr →
vertigo4–9-0.0250%22 Apr →
dust24–130.0121%15 Apr →
mirage0–13-0.0138%8 Apr →
ancient9–130.1419%8 Apr →
anubis13–70.0221%8 Apr →
dust212–120.0925%8 Apr →
ancient6–130.0218%25 Mar →
nuke13–60.1016%25 Mar →
mirage13–90.0826%25 Mar →
dust213–110.1524%25 Mar →
anubis8–130.0718%19 Mar →
nuke5–130.0316%19 Mar →
mirage13–90.0230%19 Mar →
dust213–60.1435%19 Mar →
mirage5–130.0115%18 Mar →
inferno13–80.0621%18 Mar →
dust24–130.0728%18 Mar →
dust212–120.0315%18 Mar →
anubis4–13-0.028%18 Mar →
dust213–50.1410%11 Mar →
ancient13–60.0116%11 Mar →
inferno8–130.0118%11 Mar →
dust213–60.1416%11 Mar →
dust212–120.0023%4 Mar →
ancient5–13-0.0020%4 Mar →
inferno11–130.0620%4 Mar →
dust28–130.0117%4 Mar →
anubis11–130.0717%3 Mar →
nuke13–4-0.0230%3 Mar →
mirage12–12-0.0020%3 Mar →
ancient11–130.0013%3 Mar →
dust213–7-0.0118%3 Mar →
overpass13–60.0220%1 Mar →
ancient13–80.0220%1 Mar →
nuke13–4-0.0613%25 Feb →
mirage13–11-0.0016%25 Feb →
ancient4–130.0127%25 Feb →
dust213–70.0316%25 Feb →
inferno13–80.0016%22 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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