☆ Kenisha ☆

☆ Kenisha ☆ — CS2 Stats

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

576Tracked matches57%Win rate2020Tracked since
580Hours in CS
CSDB Rating6.4 SolidAggressive Rifler
Premier CS Rating19,281Purple band · top ~11.4% of ranked players (population est.)
CSDB Leaderboard#12021 of 26079 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 6 medianLevel 7 medianvs Level 7
Headshot rate49.1%44.9%46.2%above
Shot accuracy6.4%11.8%12.5%6.0% short
Kill/death ratio0.991.041.060.07 short
Match win rate40.7%45.3%45.9%5.1% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 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 6STANDINGTop 54.0% of rankedPREMIER19,281 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning63
Utility47

0–100 skill scores via Leetify.

Recent form

HOT55423Last 10055%Win rateWWWWLWLWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression8.2
Utility4.7
Positioning6.3
Opening Duels3.8
Clutch3.2

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.

Your pro match

ropz

Plays most like ropz 91% 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

T-side openings. Opening success drops from 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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
Positioning6.3
Utility4.7
Mechanics7.3
Opening Duels3.8
Win Impact7.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time562ms−71ms
first ⅓ avg 634ms → last ⅓ avg 562ms
Headshot accuracy18.6%−1.0%
first ⅓ avg 19.6% → last ⅓ avg 18.6%

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.

Highlights

0.24Best rating — nuke 7–0
131Biggest win — cache
8Longest win streak
W4Current streak
78In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 71% over 14ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2081240%0.02
dust2A1811761%-0.00
infernoS1410471%0.00
cacheS139469%0.01
nukeB115645%0.03
anubisS107370%0.00
ancientC83538%0.02
vertigo41325%0.01
overpass1010%0.08
office110100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,643Lifetime kills
0.99K/D
1,176Matches
40.7%Match win rate
49.1%Headshot % · Top 50% of Level 6 players
6.4%Shot accuracy
2,520MVPs
580Hours (in match)
1,141Bombs planted
247Bombs defused

Most-used weapons

Lifetime map wins

2,473dust2
1,201inferno
964nuke
368vertigo
333office
156train
24safehouse
23militia

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

Faceit stats

Combat

183Matches
50%Win rate
1.17Avg K/D
85.0ADR
49%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4553%1.2217.6
Dust23644%1.0315.6
Inferno2446%1.0315.5
Cache2171%1.5719.9
Anubis1947%1.2420.4
Ancient1850%1.0516.1
Nuke1533%1.0016.7
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.

18.5%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.9%Spray accuracy
82.8%Counter-strafing
9.8°Preaim
571msReaction time
32.4%T opening success
58.1%CT opening success
0.58Enemies flashed / flash
7.3%Flash assists
5.77HE damage / grenade
7.57Flashes / 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 32.3848% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–90.1420%29 Aug
inferno7–0-0.0213%29 Aug
anubis13–80.0427%27 Aug
dust213–9-0.056%27 Aug
mirage11–130.0422%26 Aug
inferno13–8-0.0325%26 Aug
inferno1–13-0.076%26 Aug
ancient13–100.0817%26 Aug
inferno16–14-0.0617%26 Aug
mirage7–130.0727%25 Aug
dust213–9-0.0418%25 Aug
dust213–110.0820%24 Aug
anubis13–100.0315%24 Aug
ancient13–160.0221%24 Aug
dust22–13-0.0117%24 Aug
dust22–13-0.0512%24 Aug
mirage2–13-0.0116%24 Aug
ancient13–80.1421%24 Aug
dust28–13-0.0818%24 Aug
inferno3–13-0.0227%24 Aug
ancient4–13-0.077%23 Aug
anubis13–90.0415%23 Aug
cache13–30.0722%23 Aug
cache13–10.0629%23 Aug
mirage13–50.0724%23 Aug
dust213–100.0423%22 Aug
inferno13–40.0316%22 Aug
mirage8–13-0.0410%22 Aug
ancient9–130.0227%21 Aug
anubis26–280.0019%21 Aug
ancient10–130.0213%21 Aug
inferno13–40.0124%21 Aug
dust213–90.0824%21 Aug
mirage9–13-0.0625%21 Aug
dust213–20.0118%20 Aug
vertigo13–8-0.0217%20 Aug
vertigo20–220.0210%20 Aug
anubis13–10-0.0218%19 Aug
nuke9–13-0.0728%19 Aug
cache13–90.1027%19 Aug
cache13–9-0.035%18 Aug
dust216–140.0518%18 Aug
nuke13–30.0025%17 Aug
dust219–17-0.0136%17 Aug
mirage13–70.0323%17 Aug
inferno11–13-0.0016%17 Aug
cache7–13-0.0512%16 Aug
anubis16–13-0.0015%16 Aug
nuke13–40.1422%16 Aug
inferno16–13-0.0021%16 Aug
mirage13–110.0523%15 Aug
cache7–130.0117%15 Aug
nuke5–13-0.0116%13 Aug
cache16–130.0319%13 Aug
inferno13–80.0312%13 Aug
mirage9–130.0115%13 Aug
mirage6–13-0.0219%13 Aug
dust213–7-0.0116%13 Aug
dust211–13-0.0516%12 Aug
dust213–9-0.0113%12 Aug
mirage9–13-0.0524%12 Aug
nuke12–120.0519%12 Aug
mirage14–160.0422%8 Aug
cache13–3-0.0229%8 Aug
cache13–30.0124%7 Aug
mirage13–40.0919%7 Aug
ancient13–10-0.0613%7 Aug
mirage13–2-0.0520%7 Aug
cache16–12-0.0024%6 Aug
inferno13–10-0.0016%6 Aug
inferno13–80.1027%4 Aug
anubis8–13-0.0413%4 Aug
nuke13–9-0.0127%3 Aug
anubis13–100.0025%3 Aug
mirage13–60.0415%3 Aug
nuke14–16-0.0230%2 Aug
ancient9–13-0.0226%1 Aug
nuke13–70.0120%31 Jul
dust212–120.0123%31 Jul
vertigo12–120.0619%31 Jul
dust26–130.0214%31 Jul
vertigo8–13-0.0126%30 Jul
inferno13–100.0922%29 Jul
overpass3–130.0835%29 Jul
office13–50.0527%29 Jul
mirage13–110.0423%29 Jul
anubis9–13-0.0013%28 Jul
nuke8–13-0.0414%28 Jul
mirage6–130.0018%28 Jul
nuke7–00.245%28 Jul
mirage13–160.0123%28 Jul
dust211–130.0014%28 Jul
nuke3–130.0114%28 Jul
cache3–13-0.0215%28 Jul
anubis16–14-0.0214%28 Jul
cache16–120.0315%27 Jul
inferno10–13-0.0320%26 Jul
dust213–7-0.0319%24 Jul
mirage8–13-0.0619%24 Jul
cache9–13-0.0414%24 Jul

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 →