☆ Kenisha ☆

☆ Kenisha ☆ — CS2 Stats

US76561198424299691[U:1:464033963]Steam profile ↗✓ No bans

730Tracked matches55%Win rate2020Tracked since
682Hours in CS
CSDB Rating6.7 SolidPositional Player
Premier CS Rating21,170Top 50% of 205,052 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#65376 of 252170 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (4 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: 21,170 +1,889 26 Aug – 12 Oct · 24 days played
19,25923,320peak 23,32026 Aug12 Oct
23,523Peak Premier in tracked matches
37Days played since 2026-08-26

Premier CS Rating

  • 2,150 below peak (23,320)
  • +50 over 30 days · steady
  • Next: Red band at 25,000 — 3,830 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches111——
Win rate47%——
K/D0.97——
Headshot %45%——

Measured 14 Sep 2026 → 16 Oct 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 8 among CSDB-tracked players (n=15,088), 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 8 medianLevel 9 medianvs Level 9
Headshot rate48.7%46.8%48.2%meets
Shot accuracy5.7%13.0%13.2%7.6% short
Kill/death ratio0.991.061.070.08 short
Match win rate41.8%46.3%46.9%5.1% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG☆ Kenisha ☆FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,170 · Pink bandcsdb.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

Aim74
Positioning67
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLWWLLWLWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −2.8pp headshot accuracy · +91ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 672ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 634ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 588ms

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 (+2.4 against its own average).

Aim7.4
Utility4.7
Positioning6.7
Opening Duels2.7
Clutch3.2

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

ropz

Plays most like ropz 86% 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

Areas to improve

Reaction time. 575ms 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

Aim7.4
Positioning6.7
Utility4.7
Mechanics7.7
Opening Duels4.7
Win Impact6.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time580ms−14ms
first ⅓ avg 594ms → last ⅓ avg 580ms
Headshot accuracy16.3%−0.0%
first ⅓ avg 16.3% → last ⅓ avg 16.3%

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

0.22Best match rating · 13–0 · nuke, 5 Oct →
39%Best headshot accuracy · 11–13 · nuke, 22 Sept →
391msFastest reaction time · 4–13 · ancient, 9 Sept →
13–0Biggest win · nuke, 5 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 60% over 15anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%-0.00
mirageA2213–959%0.00
infernoA159–660%-0.02
anubisD103–730%0.00
nukeC94–544%0.04
ancientC83–538%-0.02
cacheA74–357%0.01
office—21–150%-0.02
overpass—21–150%0.09
vertigo—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,387Lifetime kills
0.99K/D
1,339Matches
41.8%Match win rate
48.7%Headshot % · Top 50% of Level 8 players
5.7%Shot accuracy
2,921MVPs
682Hours (in match)
1,324Bombs planted
292Bombs defused

Most-used weapons

Lifetime map wins

2,796dust2
1,469inferno
1,152nuke
374vertigo
351office
156train
24safehouse
23militia

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

Faceit stats

Combat

277Matches
50%Win rate
1.18Avg K/D
84.5ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8050%1.1217.3
Dust25149%1.0616.6
Inferno4149%0.9314.7
Cache2972%1.4720.0
Anubis2945%1.1419.0
Nuke2241%1.8816.9
Ancient2045%1.0015.3
Overpass450%1.5017.8

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.

15.9%Headshot accuracy
35.7%Accuracy (enemy spotted)
37.3%Spray accuracy
84.7%Counter-strafing
9.5°Preaim
575msReaction time
52.3%T opening success
45.1%CT opening success
0.51Enemies flashed / flash
7.6%Flash assists
8.59HE damage / grenade
7.61Flashes / match

Recommended for you

Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–130.0012%15 Oct →
mirage13–9-0.0114%13 Oct →
nuke6–10.0515%13 Oct →
inferno8–13-0.0914%13 Oct →
cache7–130.0218%12 Oct →
dust216–13-0.0020%12 Oct →
vertigo5–130.0112%12 Oct →
office13–6-0.0110%12 Oct →
mirage6–130.0419%12 Oct →
overpass13–80.1213%12 Oct →
dust27–10.0923%11 Oct →
nuke15–150.0311%9 Oct →
dust211–13-0.0311%8 Oct →
overpass7–130.068%8 Oct →
inferno13–8-0.0517%8 Oct →
inferno16–130.0112%8 Oct →
cache16–130.0027%8 Oct →
mirage19–15-0.0023%8 Oct →
anubis11–13-0.0321%6 Oct →
ancient6–130.0521%6 Oct →
ancient13–80.0315%5 Oct →
nuke13–00.2216%5 Oct →
anubis13–20.0818%5 Oct →
mirage13–40.0515%5 Oct →
mirage13–110.0311%5 Oct →
cache19–160.0120%5 Oct →
mirage7–13-0.1511%5 Oct →
dust28–13-0.0314%4 Oct →
mirage8–130.0214%4 Oct →
dust26–13-0.0816%30 Sept →
cache13–50.1123%30 Sept →
mirage13–90.0225%30 Sept →
dust26–130.0319%30 Sept →
anubis11–13-0.0113%30 Sept →
cache8–13-0.0423%29 Sept →
anubis4–13-0.0726%29 Sept →
dust27–130.0530%29 Sept →
inferno2–13-0.006%27 Sept →
mirage9–13-0.045%25 Sept →
dust210–130.0215%24 Sept →
mirage6–13-0.0411%24 Sept →
mirage3–13-0.0617%23 Sept →
dust26–13-0.0214%23 Sept →
nuke13–100.0618%23 Sept →
ancient13–40.0214%23 Sept →
anubis13–160.029%22 Sept →
nuke11–13-0.0239%22 Sept →
dust210–130.0124%22 Sept →
ancient13–5-0.0312%22 Sept →
ancient7–13-0.0822%22 Sept →
inferno25–21-0.0013%22 Sept →
dust213–6-0.0120%20 Sept →
nuke1–13-0.0719%20 Sept →
dust213–90.0219%20 Sept →
dust213–110.0319%19 Sept →
dust213–50.0434%16 Sept →
ancient9–13-0.0828%16 Sept →
inferno13–8-0.0016%16 Sept →
mirage13–100.0619%16 Sept →
nuke13–70.0912%15 Sept →
anubis10–13-0.0020%15 Sept →
mirage13–8-0.0423%15 Sept →
dust213–8-0.0419%15 Sept →
inferno7–13-0.0611%14 Sept →
anubis4–13-0.0812%12 Sept →
dust213–100.0117%11 Sept →
mirage13–60.0216%11 Sept →
inferno13–6-0.0215%11 Sept →
dust25–13-0.0532%11 Sept →
ancient11–13-0.069%10 Sept →
anubis13–60.0221%10 Sept →
mirage16–130.0217%9 Sept →
inferno13–10-0.0017%9 Sept →
ancient4–13-0.0313%9 Sept →
dust210–13-0.0419%9 Sept →
dust213–11-0.0618%8 Sept →
mirage16–120.0219%8 Sept →
dust213–11-0.0714%7 Sept →
dust216–13-0.0119%6 Sept →
inferno10–130.0116%6 Sept →
dust213–100.0813%5 Sept →
inferno13–3-0.015%5 Sept →
inferno12–160.0217%5 Sept →
mirage13–7-0.0211%3 Sept →
office0–13-0.0413%3 Sept →
mirage10–13-0.0122%3 Sept →
inferno13–100.018%2 Sept →
cache13–60.0414%2 Sept →
mirage6–13-0.0324%1 Sept →
mirage13–90.0116%1 Sept →
dust214–160.0420%1 Sept →
cache5–13-0.0712%1 Sept →
nuke7–13-0.0312%31 Aug →
anubis8–130.0614%30 Aug →
mirage13–90.1420%29 Aug →
inferno7–0-0.0213%29 Aug →
anubis13–80.0427%27 Aug →
dust213–9-0.056%27 Aug →
nuke8–130.0222%27 Aug →
mirage11–130.0422%26 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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