Kenpachi

Kenpachi — CS2 Stats

FR76561197990304896[U:1:30039168]Steam profile ↗✓ No bans

2,003Tracked matches62%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
FaceitLevel 9 · 1,797 ELOTop 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,797 → 1,797
+11Tracked matches · now 2,003
+3.4ppWin rate · 58.6% → 62.1%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 65 days played since 23 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 26,443 -931 23 Nov25 Dec · 6 days played
26,15728,128peak 28,12823 Nov25 Dec
Faceit ELO: 1,797 +0 3 Sept16 Sept · 2 observations
1,7971,797peak 1,7973 Sept16 Sept
28,128Peak Premier in tracked matches
1,797Highest Faceit ELO seen on CSDB
65Days played since 2025-11-23

Faceit ELO

  • At peak — 1,797
  • Next: Level 10 at 2,001 204 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-03
  • Level 8 first seen 2026-09-03

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.

Share this profile

CSDB.GGKenpachiFACEITLevel 9 · 1,797 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,797csdb.gg/stats

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Performance scores

Aim75
Positioning50
Utility63

0–100 skill scores via Leetify.

Recent form

HOT48493Last 10048%Win rateWWWLWLWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.7pp headshot accuracy · −17ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 584ms

Last 20

  • 1271 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 592ms

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: SupportUtility contribution stands above the rest of this profile (+2.1 against its own average).

Aim7.5
Utility6.3
Positioning5.0
Opening Duels2.7
Clutch3.0

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

device

Plays most like device 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 562ms 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

Aim7.5
Positioning5.0
Utility6.3
Mechanics7.2
Opening Duels1.7
Win Impact9.0

Composite 6.0/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time566ms−11ms
first ⅓ avg 577ms → last ⅓ avg 566ms
Headshot accuracy23.1%+1.3%
first ⅓ avg 21.8% → last ⅓ avg 23.1%

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

0.16Best match rating · 13–4 · dust2, 16 Aug
56%Best headshot accuracy · 2–13 · dust2, 1 Dec
328msFastest reaction time · 5–13 · anubis, 6 Jun
13–1Biggest win · vertigo, 21 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
811In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 80% over 5nukeWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
dust2B29151452%0.01
nukeC2081240%-0.03
infernoB2091145%-0.01
cacheB63350%-0.03
mirageS54180%0.04
overpassA53260%-0.03
train32167%-0.04
vertigo31233%0.01
ancient3030%-0.05
anubis31233%-0.03
fachwerk110100%-0.04
shelter1010%0.05
poseidon110100%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,629Matches
51%Win rate
1.13Avg K/D
70.4ADR
41%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno12858%1.0214.9
Dust212047%1.0115.2
Nuke9253%0.9813.8
Anubis3639%0.8712.5
Overpass3244%1.0014.3
Cache2861%1.0215.9
Train2326%0.8814.9
Mirage1020%0.8414.0

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.

22.7%Headshot accuracy
31.5%Accuracy (enemy spotted)
35.4%Spray accuracy
82.3%Counter-strafing
9.3°Preaim
562msReaction time
39.3%T opening success
34.1%CT opening success
0.68Enemies flashed / flash
9.8%Flash assists
8.53HE damage / grenade
10.11Flashes / 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

    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 39.331% — below the 40% mark we flag

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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
train13–6-0.058%20 Sept
dust213–80.0216%20 Sept
fachwerk13–11-0.0433%10 Sept
vertigo5–13-0.0220%6 Sept
mirage13–70.0619%6 Sept
dust22–13-0.0035%27 Aug
cache13–9-0.0127%20 Aug
dust213–40.1627%16 Aug
ancient10–13-0.0231%15 Aug
nuke13–20.0126%15 Aug
dust213–20.0539%15 Aug
cache7–13-0.0433%14 Aug
shelter5–130.0523%2 Aug
vertigo12–120.0126%23 Jul
vertigo13–10.0425%21 Jul
dust213–70.0628%21 Jul
cache10–13-0.1026%19 Jul
dust211–30.1416%19 Jul
inferno14–160.0225%14 Jul
dust213–8-0.0017%11 Jul
nuke3–13-0.0110%11 Jul
inferno16–13-0.0218%27 Jun
inferno13–70.0324%14 Jun
inferno9–13-0.039%13 Jun
anubis13–11-0.0616%7 Jun
anubis5–13-0.0521%6 Jun
overpass13–8-0.0527%31 May
dust210–130.0012%30 May
cache13–110.0429%25 May
dust213–100.0219%25 May
dust212–14-0.0220%24 May
cache13–60.0223%23 May
inferno4–13-0.0635%18 May
inferno11–13-0.0338%16 May
inferno6–13-0.0433%7 May
inferno13–80.0615%7 May
nuke13–10-0.0427%3 May
overpass13–9-0.0021%3 May
cache10–13-0.0932%30 Apr
dust27–13-0.0435%29 Apr
mirage13–110.0225%22 Apr
dust213–50.0120%22 Apr
nuke13–10-0.0234%8 Apr
inferno13–80.0618%5 Apr
inferno6–130.0126%5 Apr
dust211–13-0.0726%5 Apr
nuke22–19-0.0519%2 Apr
nuke11–13-0.0518%1 Apr
nuke16–140.0121%1 Apr
dust27–13-0.0419%31 Mar
dust213–40.0022%29 Mar
nuke5–13-0.064%22 Mar
dust213–16-0.0128%19 Mar
anubis14–160.0217%18 Mar
inferno13–9-0.0124%17 Mar
inferno9–13-0.0412%22 Feb
inferno15–15-0.0119%21 Feb
inferno10–13-0.0529%18 Feb
overpass12–16-0.0416%15 Feb
inferno13–5-0.0332%8 Feb
dust27–130.0422%8 Feb
dust211–130.0317%25 Jan
inferno12–120.0630%25 Jan
dust27–00.1023%25 Jan
poseidon9–6-0.0637%25 Jan
nuke9–13-0.0518%24 Jan
dust216–120.0324%18 Jan
inferno6–13-0.0121%11 Jan
dust28–13-0.0314%11 Jan
nuke7–13-0.0117%28 Dec
dust211–13-0.0121%26 Dec
dust28–13-0.0323%25 Dec
mirage16–130.0630%25 Dec
nuke16–12-0.0320%24 Dec
dust213–40.0216%24 Dec
nuke10–13-0.058%24 Dec
nuke10–130.0030%18 Dec
inferno16–130.0116%14 Dec
nuke13–4-0.0314%14 Dec
dust213–4-0.0411%14 Dec
nuke7–13-0.0420%13 Dec
nuke9–130.0119%7 Dec
nuke13–11-0.0321%6 Dec
dust211–130.0237%5 Dec
inferno13–70.0218%5 Dec
ancient9–13-0.0110%3 Dec
train7–13-0.0124%3 Dec
mirage7–130.0230%3 Dec
overpass11–13-0.0526%2 Dec
train13–8-0.0426%2 Dec
nuke14–16-0.0121%2 Dec
nuke10–13-0.019%1 Dec
dust22–13-0.0456%1 Dec
nuke3–13-0.0918%1 Dec
ancient3–13-0.1229%1 Dec
dust213–9-0.0025%29 Nov
dust213–110.0431%29 Nov
inferno13–9-0.0520%23 Nov
overpass13–9-0.0222%23 Nov
mirage16–140.0420%23 Nov

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 →