Colonel Kernel

Colonel Kernel — CS2 Stats

DE76561198090064103[U:1:129798375]Steam profile ↗✓ No bans

887Tracked matches34%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating12,758Blue band · top ~40.3% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

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

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,758 -2,001 7 Aug – 29 Oct · 38 days played
12,75815,572peak 15,5727 Aug29 Oct
15,759Peak Premier in tracked matches
36Days played since 2026-08-07

Premier CS Rating

  • 2,814 below peak (15,572)
  • -2,368 over 30 days · declining
  • -2,001 over 90 days
  • Next: Purple band at 15,000 — 2,242 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-05
  • Light Blue band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGColonel KernelPREMIER12,758 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning74
Utility41

0–100 skill scores via Leetify.

Recent form

COLD34–61–5Last 10034%Win rateLLWLLLLWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.1pp headshot accuracy · +41ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 598ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 632ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 611ms

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 (+1.9 against its own average).

Aim7.3
Utility4.1
Positioning7.4
Opening Duels4.9

Limited utility dependence

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

donk

Plays most like donk 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 617ms 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

Aim7.3
Positioning7.4
Utility4.1
Mechanics7.0
Opening Duels7.1
Win Impact0.0

Composite 5.7/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time624ms+14ms
first ⅓ avg 610ms → last ⅓ avg 624ms
Headshot accuracy17.3%+0.2%
first ⅓ avg 17.0% → last ⅓ avg 17.3%

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

0.17Best match rating · 13–1 · cache, 21 Oct →
44%Best headshot accuracy · 2–13 · cache, 14 Oct →
344msFastest reaction time · 2–13 · inferno, 15 Sept →
13–0Biggest win · anubis, 8 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 60% over 10mirageWeakest map · 0% over 12
MapGradePlayedRecordWin rateAvg rating
ancientD246–1825%-0.00
anubisB168–850%0.02
nukeB137–654%0.03
infernoD134–931%0.01
mirageD120–120%0.02
dust2D123–925%-0.03
cacheA106–460%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.7%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.3%Spray accuracy
81.4%Counter-strafing
9.0°Preaim
617msReaction time
62.1%T opening success
55.0%CT opening success
0.53Enemies flashed / flash
3.1%Flash assists
9.81HE damage / grenade
3.58Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.585 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

0% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0618%29 Oct →
nuke6–13-0.0417%29 Oct →
ancient13–110.0417%29 Oct →
cache9–130.0114%25 Oct →
mirage5–130.0318%25 Oct →
anubis9–13-0.0215%22 Oct →
mirage10–130.0725%22 Oct →
inferno13–40.0318%21 Oct →
anubis6–130.0420%21 Oct →
cache13–10.1719%21 Oct →
ancient11–130.0230%20 Oct →
cache13–20.1026%20 Oct →
dust210–13-0.0620%20 Oct →
dust215–15-0.0516%19 Oct →
mirage6–130.077%19 Oct →
inferno10–130.0219%19 Oct →
inferno6–13-0.0619%17 Oct →
ancient9–13-0.0214%17 Oct →
inferno13–70.0915%17 Oct →
dust213–11-0.0514%16 Oct →
cache13–10.0112%16 Oct →
ancient2–13-0.129%16 Oct →
mirage6–130.0217%16 Oct →
dust23–13-0.065%16 Oct →
cache2–13-0.0644%14 Oct →
mirage7–13-0.0012%14 Oct →
ancient13–90.0213%11 Oct →
anubis13–11-0.0221%11 Oct →
anubis13–30.1124%11 Oct →
ancient11–130.0118%10 Oct →
dust212–160.018%10 Oct →
dust22–13-0.058%10 Oct →
ancient13–20.1321%10 Oct →
mirage9–130.0315%10 Oct →
dust28–130.0335%10 Oct →
ancient12–12-0.0016%9 Oct →
anubis5–13-0.0811%9 Oct →
nuke11–130.0117%8 Oct →
ancient15–150.0117%8 Oct →
inferno8–130.0322%8 Oct →
anubis11–130.0517%8 Oct →
cache11–130.0018%26 Sept →
inferno8–13-0.0212%26 Sept →
anubis13–7-0.0318%26 Sept →
nuke14–160.0316%25 Sept →
dust22–13-0.0711%23 Sept →
dust211–130.0314%23 Sept →
nuke13–110.0515%23 Sept →
anubis14–160.0017%21 Sept →
ancient7–13-0.0419%21 Sept →
cache13–90.0621%20 Sept →
inferno13–50.0719%20 Sept →
cache10–30.0725%18 Sept →
anubis13–50.1226%18 Sept →
ancient15–15-0.0318%18 Sept →
mirage5–13-0.0316%18 Sept →
ancient12–12-0.0211%16 Sept →
mirage6–13-0.0316%16 Sept →
anubis10–130.0019%15 Sept →
inferno2–13-0.067%15 Sept →
anubis13–16-0.0013%13 Sept →
inferno12–160.0140%13 Sept →
nuke13–100.0215%13 Sept →
ancient9–13-0.0128%13 Sept →
cache16–12-0.0321%10 Sept →
ancient9–130.0122%10 Sept →
anubis13–110.0120%10 Sept →
ancient3–13-0.0420%3 Sept →
ancient7–13-0.038%26 Aug →
mirage9–13-0.0012%26 Aug →
anubis13–70.0321%25 Aug →
nuke13–30.0626%25 Aug →
dust210–13-0.0312%25 Aug →
mirage8–130.1520%24 Aug →
ancient13–8-0.0118%24 Aug →
nuke13–90.0627%24 Aug →
nuke6–130.0020%24 Aug →
ancient13–90.0919%20 Aug →
nuke16–140.0620%20 Aug →
inferno13–100.1118%19 Aug →
nuke13–40.1019%19 Aug →
ancient14–160.1016%17 Aug →
anubis13–50.0615%17 Aug →
cache8–130.0118%16 Aug →
ancient1–13-0.0626%16 Aug →
ancient13–11-0.0616%16 Aug →
ancient8–130.0014%12 Aug →
ancient4–13-0.067%12 Aug →
anubis7–130.0420%12 Aug →
dust213–6-0.017%11 Aug →
inferno9–13-0.0120%11 Aug →
dust213–110.0215%11 Aug →
inferno9–130.028%9 Aug →
ancient5–130.0423%9 Aug →
nuke8–13-0.0420%9 Aug →
nuke13–50.0814%9 Aug →
inferno2–13-0.0721%8 Aug →
anubis13–00.0013%8 Aug →
mirage11–130.0215%8 Aug →
nuke11–13-0.0415%7 Aug →

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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