Kenny

Kenny — CS2 Stats

AU76561198333046156[U:1:372780428]Steam profile ↗1 game ban

2,353Tracked matches67%Win rate2021Tracked since
3,699Hours in CS16Hrs last 2 wks
CSDB Rating6.9 SolidSupport
Premier CS Rating17,308Purple band · top ~19.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−764Premier CS Rating · 18,072 → 17,308
+4Tracked matches · now 2,353
+3.3ppWin rate · 63.3% → 66.7%

Rating over time

Premier CS Rating: 17,308 +1,371 27 Jul – 3 Nov · 42 days played
14,32118,072peak 18,07227 Jul3 Nov
18,072Peak Premier in tracked matches
41Days played since 2026-07-27

Premier CS Rating

  • 764 below peak (18,072)
  • +2,455 over 30 days · improving
  • +2,309 over 90 days
  • Next: Pink band at 20,000 — 2,692 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-11-01
  • Blue band first seen 2026-11-01

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate24.0%41.8%42.7%18.8% short
Shot accuracy13.9%12.2%11.2%above
Kill/death ratio1.120.980.99above
Match win rate47.0%43.3%43.9%above

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKennyFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,308 · Purple 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

Aim80
Positioning57
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLLWWWLWWWL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −1.5pp headshot accuracy · −29ms 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 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 539ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 554ms

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 (+1.9 against its own average).

Aim8.0
Utility6.9
Positioning5.7
Opening Duels2.5

Strong CT-side openerEffective flashes

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

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 52% on CT to 30% 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

Aim8.0
Positioning5.7
Utility6.9
Mechanics7.0
Opening Duels2.7
Win Impact10.0

Composite 6.9/10 (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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time546ms−85ms
first ⅓ avg 631ms → last ⅓ avg 546ms
Headshot accuracy15.0%−4.0%
first ⅓ avg 19.0% → last ⅓ avg 15.0%

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 · 13–8 · nuke, 1 Sept →
42%Best headshot accuracy · 13–11 · dust2, 6 Aug →
453msFastest reaction time · 8–13 · mirage, 11 Sept →
13–2Biggest win · dust2, 14 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 69% over 13ancientWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%0.04
infernoS2013–765%0.02
cacheB168–850%0.01
mirageS139–469%0.03
nukeB115–645%0.03
anubisA95–456%0.02
ancientD80–80%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,627Lifetime kills
1.12K/D · Top 25% of Level 3 players
4,345Matches
47.0%Match win rate · Top 25% of Level 3 players
24.0%Headshot %
13.9%Shot accuracy · Top 50% of Level 3 players
8,451MVPs
1,644Hours (in match)
6,542Bombs planted
1,123Bombs defused

Most-used weapons

AK-4745,540
AWP6,311
P2505,050
MP92,444
Knife2,400
MAC-102,142

Lifetime map wins

13,040dust2
5,322inferno
2,289nuke
949vertigo
487train
369office
230cbble
119italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.1%Headshot accuracy
39.5%Accuracy (enemy spotted)
44.4%Spray accuracy
81.4%Counter-strafing
9.5°Preaim
571msReaction time
30.1%T opening success
51.7%CT opening success
0.78Enemies flashed / flash
5.7%Flash assists
10.78HE damage / grenade
9.11Flashes / 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 30.0527% — 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.

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–130.039%3 Nov →
inferno8–13-0.0422%3 Nov →
nuke16–120.0414%2 Nov →
anubis13–60.0319%2 Nov →
mirage13–100.0718%29 Oct →
dust24–13-0.0126%29 Oct →
mirage13–8-0.0610%29 Oct →
mirage13–60.0116%27 Oct →
inferno13–10-0.0011%27 Oct →
cache0–3-0.150%27 Oct →
anubis11–130.0214%26 Oct →
mirage13–60.0022%26 Oct →
inferno9–10.1212%26 Oct →
cache16–13-0.0517%23 Oct →
nuke13–70.1125%22 Oct →
dust214–160.0015%22 Oct →
inferno13–70.1415%22 Oct →
cache3–130.0612%16 Oct →
dust213–80.0118%15 Oct →
inferno13–30.049%15 Oct →
inferno7–13-0.0611%15 Oct →
cache5–130.0311%14 Oct →
dust213–20.0319%14 Oct →
dust213–60.1410%14 Oct →
dust213–8-0.0112%13 Oct →
nuke13–100.0217%10 Oct →
inferno13–70.0612%9 Oct →
cache13–110.0116%8 Oct →
dust213–90.069%7 Oct →
ancient5–13-0.0320%7 Oct →
inferno13–7-0.0119%3 Oct →
inferno5–13-0.0415%3 Oct →
ancient5–130.0123%25 Sept →
mirage9–13-0.0212%25 Sept →
cache13–80.0917%25 Sept →
nuke13–100.0112%24 Sept →
inferno8–13-0.0110%24 Sept →
ancient8–13-0.0515%24 Sept →
nuke10–13-0.0020%22 Sept →
nuke10–13-0.0321%22 Sept →
inferno13–30.0327%22 Sept →
cache13–70.0613%16 Sept →
dust26–13-0.0217%16 Sept →
inferno13–90.026%16 Sept →
cache13–60.1114%16 Sept →
inferno13–90.0532%15 Sept →
mirage13–60.008%15 Sept →
dust215–150.0612%15 Sept →
dust29–130.0530%14 Sept →
anubis8–13-0.0121%14 Sept →
mirage8–13-0.024%11 Sept →
cache6–130.0615%11 Sept →
dust213–100.0411%11 Sept →
inferno10–13-0.0016%10 Sept →
dust213–160.0527%10 Sept →
anubis13–110.0413%7 Sept →
inferno13–40.0515%7 Sept →
dust216–140.0613%7 Sept →
dust28–130.1014%3 Sept →
nuke12–160.0017%3 Sept →
cache13–6-0.0229%2 Sept →
inferno13–80.047%2 Sept →
nuke13–80.1511%1 Sept →
dust25–13-0.0314%1 Sept →
ancient7–13-0.044%1 Sept →
nuke4–13-0.0619%31 Aug →
dust213–3-0.006%31 Aug →
ancient10–130.0114%31 Aug →
anubis13–11-0.0022%31 Aug →
mirage13–160.0513%9 Aug →
cache1–13-0.0828%9 Aug →
ancient6–13-0.069%9 Aug →
anubis13–90.046%7 Aug →
cache8–130.0620%7 Aug →
dust213–40.1319%7 Aug →
mirage13–60.0928%6 Aug →
cache13–30.0816%6 Aug →
dust213–110.0442%6 Aug →
mirage13–110.0415%5 Aug →
ancient11–13-0.0122%5 Aug →
inferno10–13-0.0123%4 Aug →
mirage11–130.0918%4 Aug →
dust213–90.0229%4 Aug →
inferno13–80.0313%3 Aug →
anubis8–130.0117%3 Aug →
mirage13–100.0116%3 Aug →
inferno8–13-0.0031%2 Aug →
anubis13–50.0713%2 Aug →
inferno13–40.0519%2 Aug →
dust27–130.049%2 Aug →
ancient4–130.0335%31 Jul →
nuke3–130.0317%31 Jul →
cache3–13-0.099%31 Jul →
dust211–13-0.0218%30 Jul →
cache16–130.0111%30 Jul →
dust213–70.0617%29 Jul →
mirage13–50.0622%29 Jul →
cache4–13-0.0713%28 Jul →
anubis8–130.0116%28 Jul →
dust22–130.0327%27 Jul →

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.