Keef ⍥

Keef ⍥ — CS2 Stats

FO76561198035992445[U:1:75726717]Steam profile ↗✓ No bans

1,093Tracked matches60%Win rate2020Tracked since
CSDB Rating7.3 StrongSupport
Premier CS Rating24,384Top 25% of 212,133 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)
CSDB Leaderboard#28937 of 259062 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (3 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: 24,384 +6,883 26 Feb – 28 Oct · 32 days played
17,50124,422peak 24,42226 Feb28 Oct
24,422Peak Premier in tracked matches
45Days played since 2026-02-04

Premier CS Rating

  • 38 below peak (24,422)
  • +893 over 30 days · improving
  • +3,664 over 90 days
  • Next: Red band at 25,000 — 616 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.

Share this profile

CSDB.GGKeef ⍥FACEITLevel 10STANDINGTop 12.4% of rankedPREMIER24,384 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning58
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateWWWWLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −5.1pp headshot accuracy · +38ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 497ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 551ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 532ms

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 (+2.3 against its own average).

Aim8.4
Utility6.0
Positioning5.8
Opening Duels3.0
Clutch0.0

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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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 →

CSDB Rating breakdown

Aim8.4
Positioning5.8
Utility6.0
Mechanics8.0
Opening Duels5.0
Win Impact8.3

Composite 7.3/10 (Strong), 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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time551ms−59ms
first ⅓ avg 610ms → last ⅓ avg 551ms
Headshot accuracy16.1%−2.9%
first ⅓ avg 19.0% → last ⅓ avg 16.1%

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

0.11Best match rating · 13–7 · mirage, 17 Jun →
45%Best headshot accuracy · 13–3 · inferno, 5 Oct →
375msFastest reaction time · 13–3 · inferno, 28 Oct →
13–2Biggest win · nuke, 5 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W4Current streak
9–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 71% over 17ancientWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA1810–856%-0.00
infernoS1712–571%0.02
cacheB168–850%-0.01
ancientC156–940%-0.00
nukeS128–467%-0.01
anubisB105–550%-0.00
dust2S64–267%-0.02
overpassA53–260%0.02
train—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

856Matches
54%Win rate
1.23Avg K/D
59.5ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient757%0.9014.3
Nuke560%0.9913.0
Anubis425%0.7013.3
Mirage30%0.8413.0
Inferno250%0.9212.0
Vertigo1100%0.5511.0
Dust21100%0.8511.0
Overpass1100%1.0814.0

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.

16.0%Headshot accuracy
37.8%Accuracy (enemy spotted)
40.8%Spray accuracy
85.8%Counter-strafing
8.5°Preaim
540msReaction time
45.5%T opening success
54.3%CT opening success
0.66Enemies flashed / flash
3.3%Flash assists
10.24HE damage / grenade
8.73Flashes / match

Recommended for you

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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–30.0617%28 Oct →
mirage13–110.0213%22 Oct →
nuke13–70.0416%22 Oct →
cache13–8-0.0210%22 Oct →
mirage5–130.0126%22 Oct →
inferno2–13-0.0412%20 Oct →
cache13–4-0.029%20 Oct →
ancient0–13-0.063%20 Oct →
inferno8–130.064%20 Oct →
dust213–80.0116%20 Oct →
inferno13–70.0621%14 Oct →
cache5–13-0.0615%14 Oct →
cache3–13-0.035%14 Oct →
cache8–13-0.0411%14 Oct →
cache13–100.0819%13 Oct →
anubis13–100.0522%6 Oct →
inferno13–30.0145%5 Oct →
dust211–13-0.0210%5 Oct →
ancient6–13-0.0514%29 Sept →
cache13–50.0415%29 Sept →
anubis5–13-0.0112%28 Sept →
dust213–10-0.0424%28 Sept →
anubis13–70.0123%22 Sept →
cache13–50.0218%22 Sept →
cache13–10-0.0314%17 Aug →
ancient16–140.0022%17 Aug →
anubis13–8-0.0413%6 Aug →
dust213–60.0416%6 Aug →
mirage9–13-0.0017%5 Aug →
mirage1–13-0.0312%4 Aug →
anubis13–7-0.0512%4 Aug →
cache13–110.0526%4 Aug →
anubis6–13-0.0718%4 Aug →
dust213–5-0.0216%3 Aug →
cache9–13-0.048%3 Aug →
nuke14–16-0.0017%3 Aug →
cache2–13-0.0133%3 Aug →
ancient14–160.0021%3 Aug →
mirage13–80.0519%30 Jul →
cache5–13-0.0424%30 Jul →
mirage5–13-0.0615%30 Jul →
inferno13–60.0020%29 Jul →
cache3–13-0.0523%28 Jul →
inferno13–90.0316%28 Jul →
anubis16–140.0410%20 Jul →
cache14–160.0320%16 Jul →
nuke13–7-0.0213%14 Jul →
inferno13–11-0.0222%14 Jul →
cache13–50.0110%14 Jul →
dust27–13-0.0735%14 Jul →
mirage4–13-0.067%13 Jul →
ancient6–13-0.0012%13 Jul →
inferno16–130.0918%13 Jul →
mirage13–5-0.0015%10 Jul →
nuke1–13-0.0732%30 Jun →
inferno3–13-0.0725%30 Jun →
anubis11–130.0114%29 Jun →
ancient13–11-0.0724%29 Jun →
inferno13–50.0414%17 Jun →
mirage13–70.1121%17 Jun →
train13–110.0325%17 Jun →
nuke13–40.0317%16 Jun →
ancient5–13-0.0126%16 Jun →
nuke6–130.0419%26 May →
ancient13–60.0516%9 May →
overpass13–80.0215%5 May →
ancient13–3-0.0013%5 May →
mirage16–130.0213%3 May →
inferno13–9-0.0314%3 May →
overpass13–90.0214%2 May →
nuke13–4-0.0413%30 Mar →
inferno13–90.0123%30 Mar →
overpass13–100.0219%30 Mar →
anubis11–130.0624%29 Mar →
inferno13–60.0411%25 Mar →
mirage13–50.0424%25 Mar →
mirage11–130.0118%5 Mar →
nuke13–2-0.0230%5 Mar →
overpass4–130.0011%5 Mar →
mirage11–13-0.0623%4 Mar →
ancient8–13-0.0323%4 Mar →
mirage13–80.0425%3 Mar →
inferno11–130.0213%3 Mar →
nuke16–13-0.0527%3 Mar →
ancient5–130.0624%2 Mar →
mirage4–13-0.0122%2 Mar →
mirage16–13-0.0530%1 Mar →
inferno11–130.0417%1 Mar →
inferno16–130.0417%28 Feb →
nuke11–13-0.0319%28 Feb →
mirage13–8-0.0219%28 Feb →
ancient13–11-0.0119%27 Feb →
nuke13–80.0016%27 Feb →
anubis7–13-0.0317%27 Feb →
ancient13–110.0720%27 Feb →
mirage13–10-0.028%26 Feb →
nuke13–70.0328%26 Feb →
overpass8–130.0219%5 Feb →
ancient11–130.0213%5 Feb →
ancient6–130.0215%4 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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