KernelPanic

KernelPanic — CS2 Stats

AU76561198140803717[U:1:180537989]Steam profile ↗✓ No bans

2,374Tracked matches57%Win rate2020Tracked since
4,703Hours in CS32Hrs last 2 wks
CSDB Rating4.0 DevelopingSupport
Premier CS Rating13,693Blue band · top ~35.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+869Premier CS Rating · 12,824 → 13,693

Rating over time

Premier CS Rating: 13,693 -725 31 Aug – 11 Oct · 33 days played
10,51616,389peak 16,38931 Aug11 Oct
16,389Peak Premier in tracked matches
32Days played since 2026-08-31

Premier CS Rating

  • 2,696 below peak (16,389)
  • -1,887 over 30 days · declining
  • Next: Purple band at 15,000 — 1,307 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-08-31

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate35.1%42.0%44.3%9.3% short
Shot accuracy14.5%9.6%11.9%above
Kill/death ratio0.880.981.030.16 short
Match win rate44.9%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGKernelPanicPREMIER13,693 · Blue bandcsdb.gg/stats

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Performance scores

Aim29
Positioning57
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateWWWLLLLWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +0.5pp headshot accuracy · +26ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 552ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 587ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 574ms

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 against its own average).

Aim2.9
Utility6.2
Positioning5.7
Opening Duels3.0
Clutch6.0

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 52% 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

CT openings. Opening success drops from 59% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 575ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning5.7
Utility6.2
Mechanics0.6
Opening Duels4.8
Win Impact7.2

Composite 4.0/10 (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 -0.02 → last ⅓ avg -0.02
Reaction time573ms−3ms
first ⅓ avg 576ms → last ⅓ avg 573ms
Headshot accuracy13.9%+2.7%
first ⅓ avg 11.2% → last ⅓ avg 13.9%

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

0.15Best match rating · 13–4 · nuke, 20 Sept →
31%Best headshot accuracy · 13–2 · inferno, 26 Sept →
391msFastest reaction time · 13–8 · nuke, 26 Sept →
13–1Biggest win · ancient, 30 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
10–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 67% over 24dust2Weakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
infernoS2416–867%-0.01
dust2D194–1521%-0.03
ancientD144–1029%-0.02
cacheC146–843%-0.03
nukeB126–650%0.01
mirageC94–544%-0.02
anubisB84–450%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,907Lifetime kills
0.88K/D
5,733Matches
44.9%Match win rate · Top 50% of Blue band
35.1%Headshot %
14.5%Shot accuracy · Top 25% of Blue band
11,718MVPs
2,698Hours (in match)
7,225Bombs planted
1,361Bombs defused

Most-used weapons

AK-4718,774
AWP10,432
P2506,416
MAC-105,644
P905,511
XM10143,571
MP92,817

Lifetime map wins

18,879dust2
9,770inferno
3,977nuke
3,240vertigo
1,107train
587cbble
159office
48italy

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

Faceit stats

Combat

93Matches
45%Win rate
0.79Avg K/D
75.6ADR
31%Headshot %

Clutches & streaks

50%1v1 clutch win
22%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1164%0.9014.4
Vertigo540%0.6511.4
Anubis580%1.0215.4
Mirage425%1.0017.8
Ancient333%0.5611.3
Cache333%0.6812.3
Overpass20%0.489.5
Nuke250%0.426.0

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.

14.2%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.9%Spray accuracy
52.7%Counter-strafing
13.5°Preaim
575msReaction time
59.4%T opening success
39.3%CT opening success
0.69Enemies flashed / flash
3.5%Flash assists
8.90HE damage / grenade
12.40Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4983° — above the 12° mark we flag

    Aim Training →
  2. 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 14.1859% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–9-0.0219%11 Oct →
anubis13–5-0.029%11 Oct →
mirage13–40.0119%11 Oct →
dust28–130.0015%11 Oct →
cache14–16-0.0117%10 Oct →
anubis10–13-0.0213%10 Oct →
cache10–13-0.0518%9 Oct →
inferno13–90.0318%9 Oct →
dust28–13-0.0716%9 Oct →
mirage4–13-0.096%9 Oct →
cache13–60.0217%9 Oct →
inferno13–9-0.0513%8 Oct →
mirage10–13-0.0118%8 Oct →
dust213–60.0320%8 Oct →
dust29–13-0.0913%7 Oct →
anubis13–7-0.055%7 Oct →
ancient10–13-0.0317%6 Oct →
anubis7–13-0.0312%6 Oct →
mirage12–16-0.0318%6 Oct →
cache13–8-0.0311%5 Oct →
inferno13–9-0.0421%5 Oct →
dust213–8-0.0616%4 Oct →
ancient13–11-0.0511%4 Oct →
ancient13–30.0216%4 Oct →
nuke13–30.010%4 Oct →
inferno16–130.0214%4 Oct →
dust210–130.018%4 Oct →
ancient11–13-0.0113%2 Oct →
inferno13–7-0.0116%2 Oct →
mirage13–110.0112%2 Oct →
inferno13–9-0.0521%2 Oct →
cache13–110.028%2 Oct →
ancient13–10.0811%30 Sept →
ancient10–13-0.0611%29 Sept →
mirage13–70.0319%29 Sept →
dust25–13-0.0815%29 Sept →
inferno6–4-0.0511%29 Sept →
inferno6–13-0.0615%28 Sept →
nuke13–80.0414%28 Sept →
inferno13–8-0.0115%27 Sept →
dust28–13-0.0519%27 Sept →
dust211–13-0.0327%27 Sept →
ancient13–16-0.114%27 Sept →
nuke13–8-0.016%26 Sept →
inferno15–15-0.0423%26 Sept →
inferno13–20.0131%26 Sept →
nuke9–130.0318%26 Sept →
ancient8–13-0.0110%26 Sept →
ancient8–13-0.0319%26 Sept →
mirage8–13-0.0216%25 Sept →
cache11–13-0.0213%25 Sept →
dust27–13-0.0530%24 Sept →
mirage13–110.0114%24 Sept →
ancient11–130.0213%23 Sept →
cache4–13-0.038%23 Sept →
cache5–13-0.0611%23 Sept →
inferno13–5-0.0513%23 Sept →
cache7–13-0.083%22 Sept →
dust23–130.0615%22 Sept →
inferno13–90.1213%22 Sept →
anubis7–13-0.069%21 Sept →
cache13–100.0115%21 Sept →
dust25–13-0.015%20 Sept →
nuke13–40.156%20 Sept →
inferno7–130.0822%20 Sept →
dust215–15-0.039%20 Sept →
dust25–13-0.1121%20 Sept →
dust213–7-0.0713%19 Sept →
inferno15–15-0.018%19 Sept →
cache3–13-0.058%19 Sept →
cache13–11-0.039%19 Sept →
dust211–130.0313%19 Sept →
nuke15–15-0.0312%19 Sept →
ancient8–13-0.0310%19 Sept →
cache13–7-0.0716%18 Sept →
nuke3–13-0.064%18 Sept →
inferno8–13-0.0511%17 Sept →
inferno8–13-0.018%17 Sept →
mirage11–13-0.068%16 Sept →
dust213–11-0.005%16 Sept →
inferno11–13-0.037%16 Sept →
inferno13–10-0.058%15 Sept →
dust23–13-0.0524%15 Sept →
anubis13–11-0.0311%15 Sept →
nuke9–13-0.036%14 Sept →
ancient9–130.0411%13 Sept →
nuke13–8-0.0111%13 Sept →
nuke4–13-0.036%13 Sept →
nuke15–15-0.0016%13 Sept →
dust210–13-0.0110%10 Sept →
ancient14–16-0.0621%10 Sept →
inferno13–6-0.017%9 Sept →
anubis13–9-0.0414%9 Sept →
nuke13–100.0814%9 Sept →
inferno16–140.0110%8 Sept →
inferno13–110.0318%8 Sept →
anubis13–16-0.0318%7 Sept →
cache7–13-0.063%7 Sept →
inferno10–130.0115%7 Sept →
inferno13–3-0.0115%5 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.