keke

keke — CS2 Stats

FI76561197993964213[U:1:33698485]Steam profile ↗✓ No bans

551Tracked matches55%Win rate2020Tracked since
3,834Hours in CS5Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating21,583Top 50% of 213,399 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#62191 of 259992 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (14 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: 21,583 +2,851 21 Mar – 22 Oct · 32 days played
18,49923,575peak 23,57521 Mar22 Oct
23,646Peak Premier in tracked matches
57Days played since 2026-03-21

Premier CS Rating

  • 1,992 below peak (23,575)
  • -1,476 over 30 days · declining
  • Next: Red band at 25,000 — 3,417 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate55.6%45.7%46.8%above
Shot accuracy16.0%12.7%13.0%above
Kill/death ratio0.601.051.060.46 short
Match win rate46.0%45.7%46.3%meets

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkekeFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,583 · 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

Aim81
Positioning60
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLWWWLWLWWL

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · −1.2pp headshot accuracy · +56ms 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 26%
  • Avg reaction 600ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 533ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 505ms

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 (+3 against its own average).

Aim8.1
Utility4.2
Positioning6.0
Opening Duels2.0
Clutch0.0

Limited utility dependence

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

iM

Plays most like iM 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.1
Positioning6.0
Utility4.2
Mechanics5.3
Opening Duels3.9
Win Impact6.7

Composite 6.2/10 (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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time504ms−99ms
first ⅓ avg 603ms → last ⅓ avg 504ms
Headshot accuracy20.2%+0.4%
first ⅓ avg 19.8% → last ⅓ avg 20.2%

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

0.19Best match rating · 13–6 · office, 6 Oct →
53%Best headshot accuracy · 6–13 · dust2, 8 Aug →
273msFastest reaction time · 0–7 · office, 6 Oct →
13–1Biggest win · office, 24 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
11–1In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 67% over 24cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
officeS2416–867%0.02
mirageC239–1439%-0.01
dust2B179–853%-0.03
nukeA148–657%-0.02
cacheD93–633%-0.00
ancientS64–267%-0.02
inferno—44–0100%0.04
anubis—21–150%0.03
shelter—11–0100%0.03

Across the last 100 tracked matches.

Lifetime stats

37,797Lifetime kills
0.60K/D
2,419Matches
46.0%Match win rate · Top 50% of Level 7 players
55.6%Headshot % · Top 25% of Level 7 players
16.0%Shot accuracy · Top 25% of Level 7 players
5,798MVPs
1,509Hours (in match)
1,711Bombs planted
597Bombs defused

Most-used weapons

Lifetime map wins

1,898dust2
1,866inferno
1,811nuke
1,359vertigo
1,042office
698train
224lake
69cbble

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

Faceit stats

Combat

623Matches
51%Win rate
0.98Avg K/D
64.5ADR
48%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.6711.0
Vertigo2100%0.8414.0
Anubis10%1.0015.0
Nuke1100%1.2918.0
Ancient1100%0.7112.0

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.

19.6%Headshot accuracy
35.7%Accuracy (enemy spotted)
39.8%Spray accuracy
73.9%Counter-strafing
8.1°Preaim
511msReaction time
48.0%T opening success
43.2%CT opening success
0.54Enemies flashed / flash
2.5%Flash assists
7.91HE damage / grenade
3.60Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6049 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust25–12-0.0825%22 Oct →
inferno13–11-0.0319%22 Oct →
office13–90.0318%21 Oct →
office13–90.0019%21 Oct →
office1–11-0.0450%19 Oct →
office13–90.0410%18 Oct →
office9–13-0.043%15 Oct →
office13–6-0.0218%14 Oct →
office13–110.0121%13 Oct →
cache5–13-0.0419%13 Oct →
office13–70.0922%9 Oct →
office8–130.0122%7 Oct →
office13–60.1940%6 Oct →
office0–7-0.0825%6 Oct →
office13–70.0124%6 Oct →
office12–12-0.106%5 Oct →
office13–110.1028%4 Oct →
office13–70.1021%4 Oct →
office0–30.020%4 Oct →
cache7–13-0.0127%3 Oct →
dust216–120.0017%3 Oct →
nuke1–8-0.090%1 Oct →
cache8–130.0719%1 Oct →
ancient13–60.0016%30 Sept →
office13–10.0815%24 Sept →
office13–9-0.0222%23 Sept →
cache2–13-0.0120%23 Sept →
dust26–13-0.0435%23 Sept →
office3–2-0.0022%23 Sept →
office10–13-0.0413%19 Sept →
office13–11-0.0315%18 Sept →
nuke13–11-0.0423%17 Sept →
office8–40.0434%16 Sept →
cache6–130.0221%16 Sept →
mirage13–70.0223%10 Sept →
mirage7–13-0.0313%10 Sept →
nuke13–60.0326%10 Sept →
cache13–110.0314%10 Sept →
mirage5–13-0.0319%10 Sept →
nuke13–11-0.0325%9 Sept →
cache13–11-0.0112%9 Sept →
mirage5–13-0.0114%9 Sept →
dust213–70.0218%8 Sept →
mirage3–13-0.0631%8 Sept →
ancient6–13-0.0514%8 Sept →
mirage13–60.0329%8 Sept →
dust213–4-0.0823%8 Sept →
inferno13–90.0014%8 Sept →
dust23–13-0.0141%8 Sept →
nuke15–15-0.0130%7 Sept →
mirage10–13-0.0011%7 Sept →
mirage13–7-0.0121%27 Aug →
dust26–13-0.0653%8 Aug →
office4–13-0.0028%5 Aug →
mirage13–10.156%31 Jul →
mirage13–11-0.0424%30 Jul →
mirage0–13-0.0725%30 Jul →
ancient13–9-0.0621%27 Jul →
dust213–4-0.0333%27 Jul →
mirage3–130.0018%21 Jul →
dust213–8-0.0125%21 Jul →
mirage4–13-0.095%10 Jul →
cache16–12-0.0716%9 Jul →
dust213–8-0.066%9 Jul →
shelter13–70.0326%9 Jul →
cache4–11-0.0215%8 Jul →
mirage9–13-0.0323%8 Jul →
office13–80.0311%8 Jul →
mirage13–10-0.0218%3 Jul →
mirage10–130.0117%28 Jun →
dust213–110.0324%25 Jun →
dust23–13-0.0530%25 Jun →
nuke13–100.0112%23 Jun →
dust210–130.0317%22 Jun →
dust210–130.0126%14 Jun →
nuke13–6-0.0013%5 Jun →
dust213–6-0.0416%5 Jun →
mirage6–13-0.0135%29 May →
inferno13–100.0511%9 May →
mirage13–6-0.0117%7 May →
dust213–5-0.0324%26 Apr →
nuke7–13-0.0420%18 Apr →
inferno13–40.1331%18 Apr →
mirage10–13-0.0014%18 Apr →
nuke9–20.0947%18 Apr →
dust27–13-0.0514%17 Apr →
mirage6–130.0322%17 Apr →
nuke13–100.0125%16 Apr →
nuke13–8-0.0112%11 Apr →
ancient13–60.067%11 Apr →
nuke9–13-0.0511%10 Apr →
anubis10–130.0225%6 Apr →
nuke11–13-0.0418%3 Apr →
anubis13–90.0419%3 Apr →
nuke10–13-0.0513%2 Apr →
mirage5–13-0.0720%28 Mar →
mirage13–60.0413%28 Mar →
mirage13–8-0.0717%28 Mar →
ancient4–13-0.0418%22 Mar →
ancient13–2-0.0237%21 Mar →

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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