Kepa(kko?)

Kepa(kko?) — CS2 Stats

FI76561197989809272[U:1:29543544]Steam profile ↗✓ No bans

2,700Tracked matches38%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
Premier CS Rating16,781Purple band · top ~21.3% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 16,781 -4,896 22 Jul – 31 Oct · 27 days played
14,39221,677peak 21,67722 Jul31 Oct
21,677Peak Premier in tracked matches
35Days played since 2026-07-15

Premier CS Rating

  • 4,896 below peak (21,677)
  • +2,389 over 30 days · improving
  • -3,829 over 90 days
  • Next: Pink band at 20,000 — 3,219 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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

Share this profile

CSDB.GGKepa(kko?)FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER16,781 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning58
Utility69

0–100 skill scores via Leetify.

Recent form

COLD38–60–2Last 10038%Win rateLLLWLLLTWL

Last 10 vs previous 10: −60pp win rate · −0.00 avg rating · +0.2pp headshot accuracy · −58ms reaction

Win rate down 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 533ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 528ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 557ms

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).

Aim7.1
Utility6.9
Positioning5.8
Opening Duels4.7
Clutch2.8

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 80% playstyle similarity

Most alike: opening-duel success, 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. 570ms 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

Aim7.1
Positioning5.8
Utility6.9
Mechanics6.0
Opening Duels6.0
Win Impact1.0

Composite 5.9/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time576ms−53ms
first ⅓ avg 629ms → last ⅓ avg 576ms
Headshot accuracy14.5%−2.9%
first ⅓ avg 17.4% → last ⅓ avg 14.5%

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, 12 Sept →
35%Best headshot accuracy · 5–13 · ancient, 3 Sept →
422msFastest reaction time · 11–13 · cache, 2 Sept →
13–2Biggest win · nuke, 3 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 50% over 26ancientWeakest map · 24% over 25
MapGradePlayedRecordWin rateAvg rating
infernoB2613–1350%-0.01
ancientD256–1924%-0.03
nukeB147–750%0.02
mirageD113–827%-0.01
cacheC104–640%-0.01
dust2C83–538%-0.02
anubisC52–340%0.02
shelter—10–10%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (24% over 25). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

476Matches
51%Win rate
0.96Avg K/D
74.7ADR
39%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient7256%0.9315.6
Inferno6256%1.0014.6
Nuke5951%1.0215.8
Mirage4852%0.9213.9
Anubis4745%0.9414.0
Dust23142%0.8613.5
Overpass757%1.3015.4
Train540%0.9517.6

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.

14.4%Headshot accuracy
38.5%Accuracy (enemy spotted)
41.2%Spray accuracy
77.2%Counter-strafing
10.5°Preaim
570msReaction time
53.7%T opening success
54.7%CT opening success
0.58Enemies flashed / flash
7.2%Flash assists
9.10HE damage / grenade
13.03Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3897% — below the 15% mark we flag

    Aim Training →
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.

24% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke20–22-0.0313%1 Nov →
inferno13–160.0618%1 Nov →
anubis15–19-0.0118%1 Nov →
anubis13–100.0619%31 Oct →
inferno10–130.0515%30 Oct →
nuke10–13-0.0210%30 Oct →
ancient4–13-0.0113%21 Oct →
nuke15–150.0020%21 Oct →
ancient13–9-0.0410%20 Oct →
ancient7–13-0.058%20 Oct →
inferno16–13-0.0114%19 Oct →
dust28–13-0.0112%19 Oct →
inferno13–90.0216%19 Oct →
inferno13–5-0.039%13 Oct →
dust213–11-0.0315%13 Oct →
ancient13–8-0.0224%13 Oct →
inferno13–50.0314%12 Oct →
dust213–70.0217%7 Oct →
nuke13–60.079%7 Oct →
cache8–130.0214%1 Oct →
ancient11–13-0.037%1 Oct →
mirage8–13-0.0316%1 Oct →
cache3–13-0.0214%28 Sept →
nuke9–130.0318%28 Sept →
ancient7–13-0.0614%28 Sept →
inferno13–40.027%26 Sept →
mirage7–13-0.0116%25 Sept →
nuke7–13-0.0016%25 Sept →
dust28–130.0516%25 Sept →
ancient4–13-0.0112%25 Sept →
ancient13–4-0.0116%25 Sept →
anubis8–130.0118%25 Sept →
nuke6–10.0221%23 Sept →
dust210–13-0.0318%23 Sept →
mirage13–80.0124%23 Sept →
ancient8–13-0.0118%14 Sept →
mirage8–13-0.1010%14 Sept →
ancient5–13-0.0213%14 Sept →
mirage13–70.1113%12 Sept →
dust210–13-0.0820%9 Sept →
anubis13–70.0415%9 Sept →
mirage7–13-0.0110%9 Sept →
ancient7–13-0.0714%8 Sept →
inferno6–13-0.0725%8 Sept →
mirage3–13-0.0423%8 Sept →
nuke13–20.0116%3 Sept →
ancient4–13-0.0323%3 Sept →
ancient5–13-0.0735%3 Sept →
cache11–13-0.0520%2 Sept →
inferno7–13-0.063%2 Sept →
nuke12–160.078%27 Aug →
inferno13–16-0.0826%27 Aug →
inferno13–8-0.0125%25 Aug →
mirage9–13-0.0218%18 Aug →
mirage2–13-0.0220%18 Aug →
inferno11–13-0.0316%18 Aug →
inferno7–130.018%10 Aug →
ancient7–130.0111%10 Aug →
cache13–70.0226%10 Aug →
inferno13–11-0.0127%7 Aug →
ancient13–90.0616%7 Aug →
cache4–13-0.0416%7 Aug →
ancient10–13-0.0417%6 Aug →
inferno13–70.0327%6 Aug →
ancient7–13-0.0411%6 Aug →
cache13–10-0.0014%4 Aug →
inferno9–13-0.043%4 Aug →
inferno8–13-0.0215%4 Aug →
ancient8–130.0522%4 Aug →
ancient19–17-0.049%2 Aug →
ancient11–13-0.0315%2 Aug →
shelter10–130.0711%31 Jul →
inferno13–110.0111%31 Jul →
cache5–130.0117%31 Jul →
nuke9–130.0015%31 Jul →
inferno16–130.0115%29 Jul →
mirage5–13-0.0229%28 Jul →
inferno4–13-0.0418%28 Jul →
ancient5–13-0.0623%28 Jul →
ancient2–13-0.1311%28 Jul →
ancient13–90.0320%22 Jul →
cache13–11-0.0113%22 Jul →
dust26–13-0.0833%22 Jul →
ancient2–13-0.0427%22 Jul →
inferno13–8-0.0020%22 Jul →
nuke13–50.0924%22 Jul →
inferno10–130.0221%21 Jul →
inferno15–150.0016%21 Jul →
inferno13–7-0.0420%21 Jul →
mirage13–5-0.0016%16 Jul →
cache13–8-0.0117%16 Jul →
inferno13–6-0.0214%16 Jul →
nuke13–70.0715%16 Jul →
inferno3–13-0.1019%16 Jul →
anubis11–13-0.0018%16 Jul →
cache5–13-0.045%16 Jul →
nuke13–110.0313%15 Jul →
dust213–10-0.029%15 Jul →
ancient10–13-0.0229%15 Jul →
nuke13–10-0.0213%15 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 →

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