krunk rat

krunk rat — CS2 Stats

US76561198181465677[U:1:221199949]Steam profile ↗✓ No bans

1,020Tracked matches57%Win rate2020Tracked since
913Hours in CS
CSDB Rating5.5 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,020 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,409 -2,757 3 Sept – 6 Jul · 22 days played
19,00022,943peak 22,9433 Sept6 Jul
Faceit ELO: 1,989 +0 28 Aug – 19 Sept · 4 observations
1,9891,989peak 1,98928 Aug19 Sept
22,943Peak Premier in tracked matches
1,989Highest Faceit ELO seen on CSDB
66Days played since 2025-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches1——
Win rate100%——
K/D1.44——
Headshot %39%——

Measured 13 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,591), 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 9 medianLevel 10 medianvs Level 10
Headshot rate29.8%48.2%50.9%21.2% short
Shot accuracy13.4%13.3%13.7%0.4% short
Kill/death ratio0.921.071.090.16 short
Match win rate55.6%46.9%48.4%above

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkrunk ratFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO1,989csdb.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

Aim61
Positioning51
Utility59

0–100 skill scores via Leetify.

Recent form

HOT56–39–5Last 10056%Win rateWWWLWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −2.3pp headshot accuracy · −38ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 567ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 586ms

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 (+1.9 against its own average).

Aim6.1
Utility5.9
Positioning5.1
Opening Duels3.6
Clutch1.6

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 81% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim6.1
Positioning5.1
Utility5.9
Mechanics5.3
Opening Duels2.4
Win Impact7.2

Composite 5.5/10 (Solid), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time578ms+16ms
first ⅓ avg 562ms → last ⅓ avg 578ms
Headshot accuracy16.2%+4.2%
first ⅓ avg 12.0% → last ⅓ avg 16.2%

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

0.09Best match rating · 16–14 · inferno, 26 Apr →
42%Best headshot accuracy · 4–13 · vertigo, 14 Nov →
406msFastest reaction time · 0–3 · inferno, 20 May →
13–1Biggest win · cache, 28 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
6–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 80% over 10ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB189–950%0.01
vertigoB179–853%-0.01
officeS1711–665%-0.01
dust2S108–280%-0.00
nukeB105–550%-0.02
anubisC73–443%-0.02
ancientD62–433%-0.02
mirageA53–260%0.01
cache—43–175%-0.00
overpass—41–325%-0.04
shelter—11–0100%0.01
fachwerk—11–0100%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

37,659Lifetime kills
0.92K/D
2,091Matches
55.6%Match win rate · Top 10% of Level 9 players
29.8%Headshot %
13.4%Shot accuracy · Top 50% of Level 9 players
4,499MVPs
913Hours (in match)
1,811Bombs planted
430Bombs defused

Most-used weapons

Lifetime map wins

5,244vertigo
4,835inferno
3,053nuke
2,612dust2
977office
218train
131cbble
12lake

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

Faceit stats

Combat

155Matches
62%Win rate
1.11Avg K/D
76.0ADR
32%Headshot %

Clutches & streaks

28%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3370%1.0015.1
Inferno2744%1.3814.7
Nuke2075%1.1015.1
Anubis1844%1.0814.2
Dust21644%0.9014.5
Ancient1567%1.1816.3
Vertigo1182%1.2918.8
Overpass683%0.8514.0

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.

15.0%Headshot accuracy
35.4%Accuracy (enemy spotted)
39.9%Spray accuracy
73.8%Counter-strafing
10.9°Preaim
584msReaction time
30.9%T opening success
48.5%CT opening success
0.58Enemies flashed / flash
7.7%Flash assists
12.04HE damage / grenade
7.61Flashes / 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 14.971% — below the 15% mark we flag

    Aim Training →
  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 30.9156% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–10-0.0120%17 Sept →
anubis13–70.0014%3 Aug →
dust213–60.0121%1 Aug →
cache10–130.008%29 Jul →
nuke13–100.028%29 Jul →
dust213–7-0.018%28 Jul →
dust213–40.0510%15 Jul →
nuke13–4-0.0018%15 Jul →
nuke6–13-0.037%10 Jul →
shelter13–100.0113%9 Jul →
fachwerk13–7-0.0133%9 Jul →
office6–13-0.0821%8 Jul →
inferno13–4-0.0410%7 Jul →
inferno13–70.0320%6 Jul →
dust213–8-0.0310%6 Jul →
inferno3–3-0.0125%29 Jun →
inferno13–16-0.037%22 Jun →
dust28–13-0.0115%16 Jun →
inferno3–6-0.000%11 Jun →
vertigo10–20.049%11 Jun →
ancient13–5-0.0114%2 Jun →
vertigo1–3-0.1220%2 Jun →
office8–130.0213%2 Jun →
cache13–1-0.0221%28 May →
dust213–5-0.0123%20 May →
inferno0–3-0.020%20 May →
office1–8-0.1133%19 May →
inferno10–130.023%15 May →
vertigo9–7-0.0129%11 May →
office13–6-0.0329%10 May →
cache13–110.026%10 May →
vertigo5–130.0228%10 May →
office13–90.0241%6 May →
cache13–9-0.0019%6 May →
inferno15–15-0.0012%5 May →
nuke7–13-0.0114%5 May →
inferno13–90.010%5 May →
vertigo5–13-0.014%5 May →
anubis10–13-0.0120%1 May →
anubis13–50.0411%27 Apr →
vertigo13–10-0.045%27 Apr →
anubis13–11-0.025%27 Apr →
inferno9–13-0.0314%27 Apr →
inferno16–140.0925%26 Apr →
anubis5–13-0.088%26 Apr →
vertigo13–40.0622%25 Apr →
office13–4-0.0221%25 Apr →
vertigo5–130.017%22 Apr →
anubis10–13-0.036%22 Apr →
inferno13–70.048%16 Apr →
inferno13–6-0.0316%13 Apr →
anubis13–16-0.0614%13 Apr →
vertigo13–9-0.0713%8 Apr →
ancient13–100.0213%8 Apr →
office2–10-0.0712%28 Mar →
office13–110.0540%25 Mar →
office12–12-0.0519%20 Mar →
overpass10–13-0.057%16 Mar →
inferno11–13-0.047%14 Mar →
office13–9-0.0323%11 Mar →
vertigo5–13-0.1020%11 Mar →
mirage13–40.0829%4 Mar →
dust23–13-0.0315%4 Mar →
office13–7-0.0317%2 Mar →
office13–70.0317%20 Feb →
office13–100.0522%31 Jan →
nuke13–7-0.0430%30 Jan →
vertigo12–120.0115%14 Jan →
ancient11–13-0.0410%25 Nov →
mirage13–5-0.046%25 Nov →
overpass11–13-0.0313%17 Nov →
nuke9–13-0.055%17 Nov →
nuke13–50.0118%16 Nov →
vertigo4–13-0.0642%14 Nov →
mirage13–90.015%11 Nov →
ancient5–5-0.030%11 Nov →
dust213–80.038%4 Nov →
mirage6–13-0.039%1 Nov →
dust213–90.017%29 Oct →
nuke13–8-0.0525%24 Oct →
office10–60.0722%22 Oct →
office12–12-0.0412%19 Oct →
ancient11–13-0.0425%19 Oct →
nuke5–13-0.077%15 Oct →
overpass15–15-0.057%10 Oct →
mirage14–160.026%6 Oct →
inferno13–8-0.019%5 Oct →
nuke11–13-0.0315%5 Oct →
vertigo13–100.0814%5 Oct →
dust213–6-0.0311%22 Sept →
overpass13–11-0.0413%22 Sept →
inferno13–60.084%20 Sept →
inferno13–80.055%20 Sept →
vertigo13–8-0.0310%19 Sept →
office13–90.0133%19 Sept →
vertigo13–11-0.047%12 Sept →
inferno9–130.0410%8 Sept →
office13–10-0.0412%7 Sept →
vertigo13–80.047%7 Sept →
ancient6–13-0.023%3 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 →

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