k4ffe

k4ffe — CS2 Stats

76561198052898537[U:1:92632809]Steam profile ↗✓ No bans

2,560Tracked matches46%Win rate2021Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating16,916Purple band · top ~20.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 20 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,916 -3,033 21 Jun – 21 Sept · 23 days played
16,55419,949peak 19,94921 Jun21 Sept
20,271Peak Premier in tracked matches
37Days played since 2026-06-20

Premier CS Rating

  • 3,033 below peak (19,949)
  • -1,542 over 30 days · declining
  • -2,522 over 90 days
  • Next: Pink band at 20,000 — 3,084 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGk4ffeFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,916 · Purple bandcsdb.gg/stats

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Performance scores

Aim80
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateTWLLLWWWLW

Last 10 vs previous 10: +40pp win rate · −0.02 avg rating · +2.3pp headshot accuracy · +15ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 614ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 598ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 590ms

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 (+1.5 against its own average).

Aim8.0
Utility6.0
Positioning5.9
Opening Duels3.8
Clutch2.4

Excellent counter-strafing

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, 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

Reaction time. 577ms 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
Positioning5.9
Utility6.0
Mechanics8.6
Opening Duels4.4
Win Impact3.8

Composite 6.6/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time590ms−25ms
first ⅓ avg 615ms → last ⅓ avg 590ms
Headshot accuracy17.7%+0.4%
first ⅓ avg 17.3% → last ⅓ avg 17.7%

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

0.25Best match rating · 9–1 · debris, 31 Jul →
37%Best headshot accuracy · 8–8 · nuke, 31 Jul →
391msFastest reaction time · 13–1 · anubis, 25 Jul →
13–1Biggest win · anubis, 25 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 64% over 11infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC219–1243%0.01
cacheB1910–953%-0.01
ancientB147–750%-0.01
dust2A117–464%0.00
anubisD103–730%-0.02
infernoD71–614%-0.01
mirageD51–420%-0.03
vertigo—41–325%0.04
debris—31–233%0.10
overpass—21–150%-0.02
poseidon—10–10%0.14
eldorado—10–10%0.04
office—10–10%-0.08
train—11–0100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

65Matches
46%Win rate
1.23Avg K/D
93.0ADR
40%Headshot %

Clutches & streaks

32%1v1 clutch win
21%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21656%1.3217.5
Mirage1127%1.1615.3
Ancient978%1.4325.1
Inferno944%1.0616.7
Anubis617%1.0420.8
Nuke540%1.0320.0
Train450%1.6420.5
Vertigo333%1.1516.0

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.

17.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
40.4%Spray accuracy
88.6%Counter-strafing
10.0°Preaim
577msReaction time
49.4%T opening success
46.0%CT opening success
0.56Enemies flashed / flash
12.3%Flash assists
7.22HE damage / grenade
10.29Flashes / match

Recommended for you

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno15–150.0213%21 Sept →
dust213–50.0315%21 Sept →
cache9–13-0.0218%21 Sept →
dust28–13-0.0317%20 Sept →
nuke4–13-0.0318%20 Sept →
ancient13–100.0323%19 Sept →
dust213–4-0.0326%19 Sept →
nuke13–9-0.0220%19 Sept →
ancient3–13-0.0414%19 Sept →
anubis13–6-0.0610%19 Sept →
poseidon6–90.1418%18 Sept →
eldorado8–80.0419%18 Sept →
debris6–9-0.0119%18 Sept →
anubis3–130.049%18 Sept →
nuke13–80.1015%14 Sept →
inferno9–13-0.089%14 Sept →
ancient10–13-0.0123%14 Sept →
cache7–13-0.0918%14 Sept →
nuke9–13-0.0316%14 Sept →
ancient2–13-0.096%11 Sept →
nuke0–13-0.0717%11 Sept →
inferno13–30.0522%11 Sept →
nuke16–13-0.0023%7 Sept →
cache13–7-0.0218%7 Sept →
ancient6–13-0.0326%7 Sept →
office5–13-0.0828%5 Sept →
mirage15–15-0.0523%31 Aug →
ancient13–80.0810%31 Aug →
mirage14–16-0.0310%31 Aug →
dust213–110.0619%31 Aug →
mirage13–60.0025%30 Aug →
nuke11–130.0120%28 Aug →
ancient13–70.0119%28 Aug →
inferno6–13-0.0335%28 Aug →
cache7–13-0.0924%28 Aug →
anubis9–13-0.073%27 Aug →
ancient13–11-0.0022%26 Aug →
inferno15–15-0.0027%26 Aug →
dust27–13-0.0718%26 Aug →
cache13–30.0518%13 Aug →
inferno1–13-0.048%13 Aug →
nuke13–6-0.0012%9 Aug →
cache4–13-0.0728%9 Aug →
cache11–13-0.0013%9 Aug →
dust213–11-0.0212%8 Aug →
ancient13–10-0.0316%8 Aug →
cache13–8-0.038%8 Aug →
vertigo10–130.0231%8 Aug →
ancient11–13-0.0522%7 Aug →
cache13–30.0530%7 Aug →
dust27–13-0.0018%6 Aug →
cache13–100.0423%5 Aug →
debris5–90.0619%5 Aug →
nuke5–130.0613%5 Aug →
anubis2–13-0.0314%4 Aug →
ancient13–8-0.0214%4 Aug →
nuke13–100.0716%4 Aug →
anubis10–13-0.0611%3 Aug →
nuke16–120.0423%3 Aug →
ancient4–13-0.0116%3 Aug →
nuke13–11-0.0311%2 Aug →
cache13–90.0031%2 Aug →
nuke4–13-0.0613%2 Aug →
ancient13–30.0213%2 Aug →
dust26–13-0.0418%1 Aug →
nuke11–130.0317%1 Aug →
dust213–60.0811%31 Jul →
debris9–10.2533%31 Jul →
nuke8–80.2137%31 Jul →
vertigo8–130.1326%31 Jul →
vertigo13–9-0.0226%31 Jul →
ancient11–13-0.0424%28 Jul →
cache6–13-0.0328%28 Jul →
mirage11–13-0.0214%28 Jul →
mirage7–13-0.0221%27 Jul →
inferno9–13-0.028%26 Jul →
cache8–130.0619%26 Jul →
nuke11–130.039%26 Jul →
anubis13–1-0.009%25 Jul →
dust213–110.0718%25 Jul →
anubis13–6-0.072%25 Jul →
anubis10–130.0432%24 Jul →
cache13–20.0016%9 Jul →
cache13–160.0014%9 Jul →
vertigo9–130.0117%7 Jul →
cache13–8-0.0313%7 Jul →
nuke10–130.0116%7 Jul →
cache13–90.046%7 Jul →
nuke13–10-0.0316%2 Jul →
nuke5–130.0112%2 Jul →
cache11–13-0.0531%2 Jul →
cache13–110.0120%1 Jul →
nuke13–8-0.0118%26 Jun →
anubis9–13-0.0024%22 Jun →
dust213–10-0.0513%22 Jun →
anubis15–15-0.0519%21 Jun →
nuke9–13-0.015%21 Jun →
overpass11–13-0.035%21 Jun →
overpass13–4-0.0115%21 Jun →
train13–90.087%20 Jun →

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 →