kenski

kenski — CS2 Stats

DK76561198976198770[U:1:1015933042]Steam profile ↗✓ No bans

1,098Tracked matches43%Win rate2021Tracked since
1,240Hours in CS
CSDB Rating4.1 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,774 -4,856 31 Aug – 24 Jun · 26 days played
9,77515,890peak 15,89031 Aug24 Jun
15,890Peak Premier in tracked matches
1,417Highest Faceit ELO seen on CSDB
65Days played since 2025-08-31

Faceit ELO

  • At peak — 1,417
  • Next: Level 8 at 1,531 — 114 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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

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CSDB.GGkenskiPEAK ELO1,417csdb.gg/stats

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Performance scores

Aim55
Positioning54
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY39–59–2Last 10039%Win rateWLWWLWWLLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −2.6pp headshot accuracy · −7ms 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 15%
  • Avg reaction 569ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 570ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • 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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim5.5
Utility4.6
Positioning5.4
Opening Duels2.6
Clutch3.4

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.5
Positioning5.4
Utility4.6
Mechanics4.3
Opening Duels2.4
Win Impact2.8

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time584ms−61ms
first ⅓ avg 645ms → last ⅓ avg 584ms
Headshot accuracy16.1%+1.5%
first ⅓ avg 14.5% → last ⅓ avg 16.1%

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 · 9–13 · office, 6 Jul →
25%Best headshot accuracy · 2–13 · inferno, 6 Mar →
469msFastest reaction time · 13–7 · ancient, 21 Jul →
13–1Biggest win · ancient, 16 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–12In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 50% over 14mirageWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoD237–1630%0.03
nukeC198–1142%0.04
ancientB147–750%0.01
mirageD133–1023%0.01
dust2B84–450%0.00
overpassC83–538%0.02
anubisD62–433%0.02
cache—42–250%-0.01
train—21–150%-0.02
office—10–10%0.15
alpine—11–0100%-0.07
vertigo—11–0100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (23% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,564Lifetime kills
1.02K/D · Top 50% of tracked players
3,169Matches
43.2%Match win rate
42.6%Headshot %
11.9%Shot accuracy · Top 50% of tracked players
7,343MVPs
1,240Hours (in match)
4,362Bombs planted
1,126Bombs defused

Most-used weapons

AK-4717,977
AWP5,369
MAC-102,056
MP91,997
FAMAS1,633

Lifetime map wins

7,250nuke
5,892vertigo
4,791inferno
1,612dust2
592train
413lake
54office
44cbble

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

Faceit stats

Combat

1,218Matches
50%Win rate
0.96Avg K/D
72.0ADR
37%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke12562%1.1014.9
Vertigo8454%1.0113.8
Inferno8448%1.0214.1
Ancient7453%1.0714.9
Anubis3642%0.9815.2
Mirage3426%0.8712.9
Overpass2568%0.9013.6
Dust22438%0.9013.3

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.

16.8%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.1%Spray accuracy
69.4%Counter-strafing
10.5°Preaim
583msReaction time
43.0%T opening success
36.5%CT opening success
0.40Enemies flashed / flash
5.5%Flash assists
8.94HE damage / grenade
5.91Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3963 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.4754% — below the 40% mark we flag

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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0316%6 Oct →
anubis4–130.0414%6 Oct →
anubis16–140.0116%4 Oct →
nuke13–70.0823%3 Oct →
mirage4–13-0.105%3 Oct →
inferno13–100.1415%3 Oct →
anubis13–110.1216%29 Sept →
anubis11–13-0.0114%24 Sept →
anubis5–13-0.0120%24 Sept →
nuke8–13-0.039%22 Sept →
ancient13–90.0822%22 Sept →
inferno2–13-0.0411%7 Sept →
ancient13–7-0.0120%21 Jul →
office9–130.1515%6 Jul →
cache11–130.0725%6 Jul →
inferno7–9-0.0412%1 Jul →
ancient8–13-0.0519%24 Jun →
inferno11–130.0315%19 Jun →
inferno13–110.0616%19 Jun →
dust213–50.0921%15 Jun →
dust213–30.037%14 Jun →
ancient13–80.0825%14 Jun →
nuke9–130.0316%6 Jun →
inferno9–130.0623%28 May →
nuke6–30.1015%28 May →
nuke13–80.0719%28 May →
overpass9–130.0622%26 May →
mirage6–130.0924%26 May →
nuke14–16-0.0011%24 May →
dust21–12-0.0411%23 May →
ancient4–13-0.0115%23 May →
inferno8–13-0.049%21 May →
alpine13–4-0.0711%17 May →
cache13–10-0.039%17 May →
cache6–13-0.0423%17 May →
cache13–6-0.0124%29 Apr →
mirage6–13-0.0517%23 Apr →
ancient13–80.0713%6 Apr →
nuke13–110.1017%5 Apr →
ancient10–13-0.0115%17 Mar →
nuke16–140.0317%15 Mar →
dust210–130.0018%7 Mar →
inferno2–13-0.0225%6 Mar →
mirage6–13-0.0213%6 Mar →
mirage14–16-0.0220%4 Mar →
dust213–20.1024%4 Mar →
ancient6–130.0116%4 Mar →
ancient1–13-0.0611%4 Mar →
inferno6–130.1422%3 Mar →
nuke11–130.0818%2 Mar →
nuke11–130.0614%1 Mar →
inferno10–13-0.0110%28 Feb →
inferno9–130.0619%28 Feb →
inferno16–120.0614%27 Feb →
inferno8–130.0816%21 Feb →
ancient1–13-0.0317%21 Feb →
nuke8–13-0.0417%18 Feb →
ancient16–13-0.0211%16 Feb →
inferno13–8-0.0216%16 Feb →
mirage15–150.0313%16 Feb →
anubis7–13-0.0410%6 Feb →
mirage5–130.0111%6 Feb →
inferno7–130.0912%6 Feb →
inferno4–130.0111%6 Feb →
nuke11–130.0214%4 Feb →
nuke13–30.0615%4 Feb →
nuke16–120.0219%26 Jan →
mirage13–80.0915%24 Jan →
nuke11–130.0720%24 Jan →
overpass9–130.019%24 Jan →
inferno4–13-0.0721%23 Jan →
dust23–13-0.120%21 Jan →
mirage13–9-0.0113%30 Dec →
overpass13–70.0519%30 Dec →
dust213–70.0415%30 Dec →
overpass13–100.0119%16 Dec →
ancient13–10.0614%16 Dec →
dust24–13-0.0810%16 Dec →
nuke11–13-0.027%16 Dec →
ancient7–130.049%2 Dec →
inferno13–40.0720%19 Nov →
vertigo13–40.0420%12 Nov →
train13–160.0213%7 Nov →
mirage12–160.0614%5 Nov →
inferno5–130.1419%5 Nov →
inferno4–13-0.0111%31 Oct →
overpass13–160.0114%31 Oct →
nuke11–13-0.0516%30 Oct →
inferno6–130.0516%29 Oct →
nuke8–130.0712%25 Oct →
overpass16–120.0219%23 Oct →
ancient16–14-0.0016%21 Oct →
inferno13–80.0115%20 Oct →
mirage5–130.0119%7 Oct →
nuke16–140.0421%26 Sept →
overpass6–13-0.0520%19 Sept →
mirage15–15-0.025%16 Sept →
overpass6–130.0214%10 Sept →
train16–13-0.0515%5 Sept →
mirage11–5-0.0011%31 Aug →

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.