Dankrupt

Dankrupt — CS2 Stats

76561198079596935[U:1:119331207]Steam profile ↗✓ No bans

561Tracked matches50%Win rate2022Tracked since
CSDB Rating4.2 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDankruptFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning41
Utility30

0–100 skill scores via Leetify.

Recent form

COLD55–43–2Last 10055%Win rateWLLLLWWLLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +1.0pp headshot accuracy · −20ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 630ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 640ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 650ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim4.6
Utility3.0
Positioning4.1
Opening Duels0.6
Clutch4.0

Effective flashes

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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 645ms 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

Aim4.6
Positioning4.1
Utility3.0
Mechanics7.1
Opening Duels0.1
Win Impact5.0

Composite 4.2/10 (Developing), 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-0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg -0.00
Reaction time651ms+54ms
first ⅓ avg 597ms → last ⅓ avg 651ms
Headshot accuracy17.2%+4.1%
first ⅓ avg 13.1% → last ⅓ avg 17.2%

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

0.21Best match rating · 13–2 · inferno, 19 Aug →
33%Best headshot accuracy · 4–13 · nuke, 2 Apr →
406msFastest reaction time · 12–1 · vertigo, 15 Jul →
13–0Biggest win · mirage, 19 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–12In matches decided by ≤2 rounds
43Overtime games

Map breakdown

infernoBest map · 69% over 16anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA4022–1855%0.03
dust2B2512–1348%0.01
infernoS1611–569%0.04
anubisD62–433%-0.01
vertigoS64–267%0.04
nuke—42–250%0.04
overpass—22–0100%0.00
ancient—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

543Matches
51%Win rate
1.30Avg K/D
77.3ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4856%1.1416.1
Inferno2763%1.1815.0
Dust21937%1.0113.9
Anubis1050%0.7511.1
Cache850%0.9814.0
Nuke743%0.7510.4
Vertigo650%0.9616.0
Ancient560%1.1114.2

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
24.9%Accuracy (enemy spotted)
24.6%Spray accuracy
81.8%Counter-strafing
7.9°Preaim
645msReaction time
30.5%T opening success
30.5%CT opening success
0.76Enemies flashed / flash
7.2%Flash assists
5.79HE damage / grenade
7.87Flashes / 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. 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 30.5236% — 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.

33% 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
inferno13–8-0.0118%14 Sept →
anubis5–13-0.0514%12 Sept →
mirage11–13-0.0126%28 Jun →
dust26–130.0026%27 Jun →
dust28–13-0.0123%27 Jun →
mirage13–2-0.030%27 Jun →
dust213–110.0410%2 Apr →
anubis8–130.019%2 Apr →
nuke4–130.0333%2 Apr →
mirage10–13-0.0123%27 Mar →
dust213–7-0.048%27 Mar →
dust23–13-0.0315%27 Mar →
mirage13–30.0218%27 Mar →
mirage10–30.0325%23 Mar →
dust211–13-0.0115%21 Mar →
mirage13–8-0.0016%21 Mar →
dust213–80.0429%21 Mar →
dust213–90.0521%21 Mar →
mirage8–130.0411%21 Mar →
dust213–8-0.0615%15 Mar →
dust213–11-0.0121%15 Mar →
dust29–130.0216%12 Mar →
mirage11–130.0412%12 Mar →
dust28–13-0.0212%12 Mar →
dust213–7-0.019%1 Mar →
mirage8–13-0.0318%1 Mar →
dust213–90.0310%1 Mar →
dust210–13-0.0514%28 Feb →
dust213–60.0324%28 Feb →
dust213–40.0128%27 Feb →
mirage13–7-0.0116%27 Feb →
dust24–130.0013%27 Feb →
dust213–6-0.0217%25 Feb →
mirage13–80.0610%25 Feb →
mirage13–8-0.017%20 Feb →
mirage5–13-0.0314%4 Feb →
mirage13–30.028%4 Feb →
mirage13–40.0126%27 Jan →
dust212–120.0322%27 Jan →
dust211–130.0723%26 Jan →
dust213–90.0523%24 Jan →
mirage12–12-0.0114%22 Dec →
mirage13–80.1510%8 Dec →
dust210–130.0333%8 Oct →
inferno13–110.0520%30 Sept →
dust214–160.0824%15 Sept →
mirage13–40.0917%15 Sept →
mirage13–60.0818%15 Sept →
mirage5–130.0222%29 Aug →
mirage13–100.0131%28 Aug →
inferno13–50.0124%28 Aug →
mirage13–11-0.0125%26 Aug →
inferno2–13-0.0217%25 Aug →
mirage13–00.0821%19 Aug →
inferno13–20.217%19 Aug →
inferno11–13-0.0117%18 Aug →
mirage13–20.1324%28 Sept →
mirage14–16-0.0116%5 Sept →
inferno14–16-0.009%5 Sept →
anubis10–16-0.0613%3 Sept →
mirage9–160.0514%3 Sept →
vertigo7–16-0.0613%2 Sept →
anubis16–130.0116%2 Sept →
mirage12–160.0215%2 Sept →
mirage7–160.0312%20 Jul →
overpass16–80.0114%20 Jul →
anubis16–7-0.013%20 Jul →
vertigo19–15-0.0110%19 Jul →
mirage16–9-0.0111%19 Jul →
inferno16–50.0211%19 Jul →
mirage8–16-0.045%19 Jul →
inferno16–130.0513%18 Jul →
inferno16–50.1316%18 Jul →
inferno9–160.0320%18 Jul →
mirage11–160.0821%18 Jul →
inferno16–110.0611%18 Jul →
inferno16–140.0016%17 Jul →
mirage26–280.0311%17 Jul →
inferno16–40.0615%16 Jul →
inferno6–16-0.0024%16 Jul →
vertigo16–80.0711%16 Jul →
mirage17–190.0818%16 Jul →
vertigo16–120.0210%15 Jul →
vertigo12–10.190%15 Jul →
nuke8–16-0.0121%15 Jul →
mirage16–80.0312%15 Jul →
vertigo9–160.0413%15 Jul →
nuke16–70.0713%14 Jul →
inferno16–80.0320%14 Jul →
mirage16–70.096%14 Jul →
mirage10–16-0.0214%14 Jul →
mirage16–90.0711%13 Jul →
mirage17–190.0310%13 Jul →
overpass16–10-0.0013%13 Jul →
mirage16–70.0514%13 Jul →
nuke16–110.0721%12 Jul →
anubis14–160.0211%12 Jul →
dust212–16-0.066%12 Jul →
ancient12–160.0113%12 Jul →
mirage16–120.0010%11 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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