KrazyShark

KrazyShark — CS2 Stats

CH76561197999637160[U:1:39371432]Steam profile ↗✓ No bans

381Tracked matches37%Win rate2023Tracked since
630Hours in CS77Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating10,521Blue band · top ~52.1% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+363Premier CS Rating · 10,158 → 10,521

Rating over time

Premier CS Rating: 10,521 -4,127 20 Aug – 1 Oct · 23 days played
10,15815,855peak 15,85520 Aug1 Oct
15,855Peak Premier in tracked matches
28Days played since 2026-08-20

Premier CS Rating

  • 5,334 below peak (15,855)
  • -5,334 over 30 days · declining
  • Next: Purple band at 15,000 — 4,479 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 4 among CSDB-tracked players (n=13,989), 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 4 medianLevel 5 medianvs Level 5
Headshot rate56.4%42.7%43.8%above
Shot accuracy2.0%11.3%12.0%10.0% short
Kill/death ratio0.980.991.020.03 short
Match win rate40.3%43.9%44.7%4.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKrazySharkFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,521 · 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

Aim52
Positioning54
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWWWLLLWWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −0.0pp headshot accuracy · −23ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 670ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 628ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 640ms

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 (+2.2 against its own average).

Aim5.2
Utility3.8
Positioning5.4
Opening Duels3.7
Clutch0.0

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 82% 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

Areas to improve

Reaction time. 620ms 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

Aim5.2
Positioning5.4
Utility3.8
Mechanics5.3
Opening Duels5.8
Win Impact0.6

Composite 4.4/10 (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+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time628ms+54ms
first ⅓ avg 574ms → last ⅓ avg 628ms
Headshot accuracy13.0%−1.0%
first ⅓ avg 14.0% → last ⅓ avg 13.0%

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

0.07Best match rating · 9–13 · ancient, 24 Sept →
38%Best headshot accuracy · 9–13 · mirage, 17 Sept →
422msFastest reaction time · 13–7 · inferno, 19 Sept →
13–2Biggest win · cache, 7 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
10–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 65% over 17nukeWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoS1711–665%-0.02
dust2C176–1135%-0.03
mirageB147–750%-0.02
ancientC146–843%-0.02
nukeD133–1023%-0.03
cacheC135–838%-0.02
anubisD93–633%-0.02
vertigo—32–167%0.00

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

11,330Lifetime kills
0.98K/D
633Matches
40.3%Match win rate
56.4%Headshot % · Top 10% of Level 4 players
2.0%Shot accuracy
923MVPs
546Hours (in match)
399Bombs planted
112Bombs defused

Most-used weapons

Lifetime map wins

712inferno
711dust2
647nuke
119vertigo
64train
40office
3dust
1ar_shoots

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

Faceit stats

Combat

31Matches
48%Win rate
0.76Avg K/D
73.3ADR
44%Headshot %

Clutches & streaks

10%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1070%0.7512.3
Nuke617%0.6913.3
Anubis580%0.9516.0
Cache450%0.7212.8
Dust2425%0.7211.8
Ancient20%0.7613.0

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.

12.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.5%Spray accuracy
73.9%Counter-strafing
11.0°Preaim
620msReaction time
56.4%T opening success
49.7%CT opening success
0.53Enemies flashed / flash
4.6%Flash assists
9.12HE damage / grenade
6.75Flashes / 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 12.1172% — below the 15% mark we flag

    Aim Training →
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
vertigo13–40.048%1 Oct →
inferno13–110.0720%1 Oct →
nuke13–80.0315%1 Oct →
cache11–13-0.033%29 Sept →
nuke1–13-0.0710%29 Sept →
cache11–13-0.0213%29 Sept →
mirage13–50.0218%29 Sept →
dust216–14-0.0310%28 Sept →
nuke5–13-0.0115%28 Sept →
dust213–11-0.0111%28 Sept →
anubis7–13-0.078%28 Sept →
mirage13–110.0120%27 Sept →
inferno8–13-0.0323%26 Sept →
ancient2–13-0.0625%26 Sept →
ancient13–40.034%26 Sept →
ancient13–16-0.043%26 Sept →
inferno13–11-0.0114%26 Sept →
mirage6–13-0.0410%26 Sept →
inferno13–10-0.0111%26 Sept →
cache3–12-0.035%26 Sept →
mirage3–13-0.074%26 Sept →
dust24–130.0117%25 Sept →
dust210–13-0.0220%25 Sept →
ancient9–130.0716%24 Sept →
nuke7–13-0.0710%24 Sept →
ancient9–13-0.074%24 Sept →
nuke4–13-0.0911%24 Sept →
inferno2–13-0.0210%23 Sept →
anubis13–4-0.0210%23 Sept →
cache8–13-0.0214%23 Sept →
vertigo13–5-0.0224%23 Sept →
vertigo7–13-0.0128%23 Sept →
ancient16–130.0413%22 Sept →
ancient13–9-0.057%21 Sept →
dust29–13-0.0215%21 Sept →
nuke15–150.0112%20 Sept →
cache13–110.019%20 Sept →
dust213–8-0.067%20 Sept →
anubis7–13-0.0115%20 Sept →
cache16–13-0.0114%20 Sept →
ancient2–130.0214%19 Sept →
nuke11–13-0.112%19 Sept →
anubis13–9-0.0810%19 Sept →
nuke10–13-0.0115%19 Sept →
cache6–13-0.0213%19 Sept →
inferno13–7-0.0722%19 Sept →
dust215–15-0.0121%19 Sept →
ancient4–13-0.074%19 Sept →
anubis14–160.0222%18 Sept →
inferno10–13-0.0511%18 Sept →
nuke13–10-0.017%18 Sept →
dust213–70.0128%18 Sept →
mirage9–13-0.0538%17 Sept →
dust23–13-0.1015%17 Sept →
inferno10–13-0.0419%17 Sept →
cache5–13-0.0516%17 Sept →
anubis9–130.059%16 Sept →
anubis12–12-0.0019%16 Sept →
mirage7–130.0727%14 Sept →
mirage16–130.0310%14 Sept →
mirage12–16-0.0911%13 Sept →
mirage13–11-0.0113%13 Sept →
dust28–13-0.067%13 Sept →
dust29–13-0.0313%13 Sept →
ancient13–80.0021%11 Sept →
inferno13–110.0512%11 Sept →
dust210–13-0.0318%11 Sept →
mirage9–13-0.013%11 Sept →
ancient8–13-0.0221%7 Sept →
dust21–13-0.0518%7 Sept →
dust213–90.0221%7 Sept →
mirage6–1-0.0215%7 Sept →
cache13–20.0717%7 Sept →
dust212–16-0.0420%7 Sept →
mirage6–13-0.0817%7 Sept →
cache1–13-0.0413%5 Sept →
inferno8–13-0.064%2 Sept →
mirage13–10-0.0414%31 Aug →
nuke13–80.0512%31 Aug →
anubis5–13-0.0621%30 Aug →
inferno13–10-0.048%30 Aug →
inferno5–13-0.0418%30 Aug →
inferno13–8-0.0215%30 Aug →
inferno13–110.008%27 Aug →
nuke7–13-0.0116%27 Aug →
anubis13–10-0.059%27 Aug →
ancient5–13-0.0419%27 Aug →
inferno16–12-0.0417%25 Aug →
nuke9–13-0.0814%25 Aug →
dust25–13-0.0513%25 Aug →
inferno13–8-0.0315%24 Aug →
dust213–9-0.0412%21 Aug →
ancient13–8-0.0410%21 Aug →
nuke11–130.0310%21 Aug →
cache13–10-0.0217%21 Aug →
inferno13–50.026%21 Aug →
cache10–13-0.0410%20 Aug →
mirage13–11-0.0422%20 Aug →
ancient13–7-0.0610%20 Aug →
cache13–6-0.0317%20 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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