Kjendiss!

Kjendiss! — CS2 Stats

NO76561198133397564[U:1:173131836]Steam profile ↗✓ No bans

3,401Tracked matches38%Win rate2020Tracked since
3,570Hours in CS1Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
Premier CS Rating9,647Light Blue band · top ~56.6% 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 22 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,401 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,647 -3,254 28 Apr – 22 Sept · 9 days played
9,64713,637peak 13,63728 Apr22 Sept
13,637Peak Premier in tracked matches
978Highest Faceit ELO seen on CSDB
39Days played since 2026-04-27

Premier CS Rating

  • 3,990 below peak (13,637)
  • -2,592 over 90 days
  • Next: Blue band at 10,000 — 353 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-22

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.

Compare periods

Last 7 days vs previous 7

No matches recorded between 22 Sep 2026 and 28 Sep 2026.

Measured 22 Sep 2026 → 28 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches7——
Win rate29%——
K/D0.75——
Headshot %46%——

Measured 28 Aug 2026 → 28 Sep 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,962), 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 rate39.6%42.7%43.8%4.1% short
Shot accuracy13.8%11.3%12.0%above
Kill/death ratio1.120.991.02above
Match win rate47.3%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGKjendiss!FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,647 · Light Blue bandPEAK ELO978csdb.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

Aim64
Positioning49
Utility56

0–100 skill scores via Leetify.

Recent form

COLD41–58–1Last 10041%Win rateLLLWTWLLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.6pp headshot accuracy · −9ms reaction

Win rate down 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 575ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 633ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 637ms

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 (+1.1 against its own average).

Aim6.4
Utility5.6
Positioning4.9
Opening Duels4.6
Clutch2.8

Strong CT-side opener

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 84% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim6.4
Positioning4.9
Utility5.6
Mechanics5.7
Opening Duels4.3
Win Impact1.0

Composite 4.6/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time623ms−12ms
first ⅓ avg 636ms → last ⅓ avg 623ms
Headshot accuracy22.9%+0.3%
first ⅓ avg 22.7% → last ⅓ avg 22.9%

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

0.10Best match rating · 13–4 · overpass, 13 Jul →
42%Best headshot accuracy · 13–8 · mirage, 12 May →
438msFastest reaction time · 9–13 · inferno, 13 Jun →
13–1Biggest win · dust2, 3 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
13–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 67% over 6infernoWeakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C2712–1544%-0.00
infernoD173–1418%-0.01
ancientB147–750%-0.00
mirageA127–558%-0.02
nukeC114–736%-0.00
cacheC83–538%-0.01
overpassS64–267%0.03
anubis—21–150%0.01
train—20–20%-0.04
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,034Lifetime kills
1.12K/D · Top 25% of Level 4 players
4,719Matches
47.3%Match win rate · Top 25% of Level 4 players
39.6%Headshot %
13.8%Shot accuracy · Top 50% of Level 4 players
12,615MVPs
2,131Hours (in match)
3,737Bombs planted
1,235Bombs defused

Most-used weapons

AWP26,270
AK-4724,012
FAMAS2,059
SSG 081,960
SG 5531,821

Lifetime map wins

12,046inferno
9,881dust2
3,290nuke
3,047vertigo
432train
73cbble
55office
36italy

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

Faceit stats

Combat

224Matches
52%Win rate
1.11Avg K/D
80.8ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
23%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4139%0.9513.9
Dust23757%1.1617.6
Anubis3554%1.1918.3
Ancient3468%1.1717.4
Mirage3339%0.9315.6
Nuke1362%1.2915.5
Vertigo862%1.3320.5
Overpass367%1.3621.7

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.

23.3%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.9%Spray accuracy
75.8%Counter-strafing
9.5°Preaim
632msReaction time
37.9%T opening success
56.4%CT opening success
0.65Enemies flashed / flash
5.5%Flash assists
11.56HE damage / grenade
7.51Flashes / 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 37.8993% — below the 40% mark we flag

Spend your practice time on Inferno

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

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache4–13-0.0527%18 Sept →
dust27–130.0139%18 Sept →
dust21–13-0.0425%3 Sept →
dust213–10.1022%3 Sept →
anubis15–150.0217%3 Sept →
nuke13–80.0118%3 Sept →
train8–13-0.0317%29 Aug →
overpass17–19-0.0024%31 Jul →
inferno10–13-0.0228%31 Jul →
cache11–13-0.0313%30 Jul →
dust213–110.0222%30 Jul →
inferno8–130.0127%30 Jul →
ancient7–13-0.0226%30 Jul →
cache13–100.0231%28 Jul →
dust29–13-0.0027%28 Jul →
dust29–130.0522%25 Jul →
dust24–13-0.0611%25 Jul →
dust213–90.0220%25 Jul →
inferno11–130.0229%25 Jul →
dust213–80.0521%25 Jul →
mirage13–70.0722%25 Jul →
dust27–13-0.0217%25 Jul →
ancient13–110.0122%24 Jul →
nuke13–90.0021%24 Jul →
dust27–130.0123%24 Jul →
dust211–13-0.0134%23 Jul →
dust210–130.0839%23 Jul →
anubis13–10-0.0118%23 Jul →
dust24–13-0.045%22 Jul →
dust213–50.0327%21 Jul →
ancient13–100.0216%21 Jul →
ancient7–130.0421%20 Jul →
nuke8–13-0.0225%20 Jul →
ancient4–13-0.0513%19 Jul →
inferno8–13-0.0416%19 Jul →
dust21–13-0.0912%18 Jul →
inferno7–13-0.0122%18 Jul →
nuke13–7-0.0336%18 Jul →
overpass16–140.0121%18 Jul →
overpass10–130.0023%16 Jul →
inferno13–110.0123%16 Jul →
ancient13–8-0.0516%16 Jul →
dust213–8-0.0225%16 Jul →
overpass13–9-0.0115%16 Jul →
nuke12–16-0.0218%16 Jul →
inferno7–13-0.0312%16 Jul →
mirage6–13-0.0710%13 Jul →
overpass13–40.1016%13 Jul →
inferno7–13-0.0316%2 Jul →
dust213–2-0.014%2 Jul →
ancient16–19-0.0514%2 Jul →
overpass13–110.0622%28 Jun →
cache11–130.0218%28 Jun →
dust213–16-0.0625%26 Jun →
mirage13–60.0238%26 Jun →
dust28–13-0.0317%26 Jun →
inferno7–130.0126%19 Jun →
train9–13-0.0414%19 Jun →
inferno9–130.0116%13 Jun →
nuke11–130.0228%13 Jun →
ancient13–110.0731%13 Jun →
mirage13–11-0.0721%13 Jun →
mirage13–6-0.0733%13 Jun →
inferno7–130.0133%13 Jun →
mirage6–130.0426%12 Jun →
ancient10–130.0121%12 Jun →
ancient13–11-0.0226%10 Jun →
dust29–13-0.0417%10 Jun →
mirage4–13-0.0429%2 Jun →
nuke13–70.0216%24 May →
nuke6–13-0.0432%23 May →
ancient10–130.0818%23 May →
inferno5–130.0114%23 May →
dust213–70.0917%21 May →
cache11–130.015%21 May →
cache5–130.0125%20 May →
mirage4–13-0.0324%20 May →
dust213–9-0.0424%20 May →
vertigo13–16-0.0221%19 May →
mirage6–13-0.050%18 May →
inferno4–130.046%18 May →
dust213–9-0.0121%18 May →
inferno13–11-0.0515%15 May →
nuke6–130.0632%12 May →
dust211–130.0223%12 May →
mirage13–80.0142%12 May →
ancient13–11-0.0726%10 May →
dust222–18-0.0421%10 May →
mirage13–80.0336%8 May →
ancient11–13-0.0714%8 May →
nuke9–13-0.0528%6 May →
inferno11–13-0.0620%6 May →
nuke3–13-0.0119%1 May →
dust216–14-0.0524%1 May →
ancient13–10.0433%1 May →
cache13–5-0.0238%1 May →
cache13–10-0.0828%30 Apr →
inferno16–140.0228%30 Apr →
mirage13–11-0.0122%28 Apr →
inferno14–160.0232%27 Apr →

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 →

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