Jepu ジェプ

Jepu ジェプ — CS2 Stats

FI76561198067721274[U:1:107455546]Steam profile ↗✓ No bans

3,560Tracked matches47%Win rate2020Tracked since
9,842Hours in CS34Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
FaceitLevel 9 · 1,775 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,775 → 1,775
+127Tracked matches · now 3,560
−3.3ppWin rate · 50.0% → 46.7%

Rating over time

Faceit ELO: 1,775 +0 31 Aug – 25 Sept · 4 observations
1,7751,775peak 1,77531 Aug25 Sept
1,775Highest Faceit ELO seen on CSDB
32Days played since 2026-08-06

Faceit ELO

  • At peak — 1,775
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 226 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-31
  • Level 8 first seen 2026-08-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate42.9%48.2%50.9%8.1% short
Shot accuracy14.5%13.2%13.7%above
Kill/death ratio0.891.071.090.19 short
Match win rate47.8%46.9%48.4%meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJepu ジェプFACEITLevel 9 · 1,775 ELOSTANDINGTop 20.7% of ranked30 DAYS0 ELOPEAK ELO1,775csdb.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

Aim69
Positioning51
Utility68

0–100 skill scores via Leetify.

Recent form

COLD51–49Last 10051%Win rateWLLLLWWLLL

Last 10 vs previous 10: −50pp win rate · −0.00 avg rating · +0.5pp headshot accuracy · −53ms reaction

Win rate down 50pp 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 -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 563ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

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 (+2.7 against its own average).

Aim6.9
Utility6.8
Positioning5.1
Opening Duels0.9
Clutch3.6

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

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 591ms 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

Aim6.9
Positioning5.1
Utility6.8
Mechanics5.6
Opening Duels2.8
Win Impact3.9

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time583ms+62ms
first ⅓ avg 521ms → last ⅓ avg 583ms
Headshot accuracy16.0%−4.0%
first ⅓ avg 20.0% → last ⅓ avg 16.0%

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

0.10Best match rating · 13–7 · mirage, 3 Oct →
31%Best headshot accuracy · 13–5 · nuke, 15 Sept →
391msFastest reaction time · 8–13 · inferno, 18 Sept →
13–3Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 60% over 20cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2411–1346%-0.02
ancientA2012–860%0.00
nukeB2010–1050%-0.01
mirageA127–558%-0.01
dust2B105–550%-0.03
anubisB63–350%0.01
cacheD51–420%-0.01
vertigo—32–167%-0.02

Across the last 100 tracked matches.

Lifetime stats

260,741Lifetime kills
0.89K/D
13,027Matches
47.8%Match win rate · Top 50% of Level 9 players
42.9%Headshot %
14.5%Shot accuracy · Top 50% of Level 9 players
24,252MVPs
5,561Hours (in match)
13,787Bombs planted
3,076Bombs defused

Most-used weapons

AK-4782,965
AWP39,745
P2507,995
Knife5,676
FAMAS4,281

Lifetime map wins

18,344dust2
17,439inferno
16,519nuke
9,274train
5,698vertigo
1,525cbble
150office
113dust

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

Faceit stats

Combat

6,044Matches
50%Win rate
1.01Avg K/D
69.2ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient35952%1.0014.1
Nuke35657%0.9615.0
Mirage29145%0.9214.6
Anubis23344%0.9113.6
Dust223345%0.8512.8
Inferno22552%0.9414.5
Vertigo9352%0.9314.0
Overpass7449%0.8212.3

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.

15.5%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.2%Spray accuracy
75.1%Counter-strafing
8.8°Preaim
591msReaction time
40.2%T opening success
42.4%CT opening success
0.73Enemies flashed / flash
10.8%Flash assists
8.66HE damage / grenade
13.10Flashes / match

Recommended for you

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0313%2 Nov →
ancient6–130.0314%2 Nov →
dust23–13-0.0516%26 Oct →
inferno3–13-0.0512%25 Oct →
nuke14–160.0218%23 Oct →
mirage13–90.0323%23 Oct →
ancient13–80.0315%23 Oct →
cache17–190.0313%17 Oct →
ancient10–130.0118%17 Oct →
dust210–13-0.0511%17 Oct →
nuke13–100.1016%17 Oct →
mirage13–70.0112%17 Oct →
ancient13–8-0.0011%17 Oct →
nuke13–5-0.043%16 Oct →
dust213–8-0.0324%16 Oct →
nuke10–130.0115%16 Oct →
mirage16–14-0.0418%16 Oct →
ancient13–11-0.0113%16 Oct →
inferno13–8-0.0120%15 Oct →
ancient10–13-0.0117%15 Oct →
anubis11–13-0.0013%14 Oct →
nuke2–13-0.0017%14 Oct →
inferno6–13-0.0510%14 Oct →
dust210–13-0.0516%10 Oct →
inferno10–13-0.0126%8 Oct →
mirage13–6-0.0024%8 Oct →
ancient13–110.0310%8 Oct →
mirage10–13-0.0311%8 Oct →
ancient13–7-0.0212%4 Oct →
mirage6–13-0.0422%4 Oct →
mirage13–70.1016%3 Oct →
dust213–40.0224%2 Oct →
nuke4–13-0.0826%2 Oct →
inferno13–5-0.0222%2 Oct →
dust213–100.0125%2 Oct →
ancient13–40.0431%1 Oct →
nuke9–13-0.0510%1 Oct →
inferno16–19-0.0320%30 Sept →
nuke13–10-0.0213%30 Sept →
cache5–13-0.0521%30 Sept →
inferno10–13-0.0416%30 Sept →
nuke13–11-0.0517%30 Sept →
dust213–11-0.0526%30 Sept →
ancient5–13-0.0117%30 Sept →
inferno13–9-0.0118%26 Sept →
mirage13–10-0.0216%26 Sept →
nuke22–20-0.0118%26 Sept →
inferno8–130.0223%18 Sept →
nuke13–8-0.0023%18 Sept →
anubis2–13-0.035%17 Sept →
inferno13–5-0.0222%17 Sept →
anubis13–110.1015%17 Sept →
nuke3–13-0.0413%17 Sept →
nuke13–6-0.0026%17 Sept →
ancient13–90.0615%17 Sept →
ancient13–50.0624%16 Sept →
inferno14–160.0020%16 Sept →
mirage10–130.0228%16 Sept →
dust213–3-0.0115%16 Sept →
cache8–13-0.0021%15 Sept →
ancient11–130.0120%15 Sept →
anubis13–5-0.0418%15 Sept →
nuke8–130.0221%15 Sept →
nuke13–50.0231%15 Sept →
inferno13–9-0.049%15 Sept →
inferno16–130.0014%11 Sept →
mirage8–13-0.0328%11 Sept →
inferno13–10-0.0128%11 Sept →
inferno10–13-0.029%10 Sept →
ancient13–60.0219%10 Sept →
inferno13–11-0.0119%30 Aug →
anubis5–13-0.0119%30 Aug →
inferno10–13-0.0010%24 Aug →
nuke10–13-0.0215%24 Aug →
cache13–6-0.0120%23 Aug →
inferno7–13-0.0228%23 Aug →
mirage11–13-0.0823%22 Aug →
nuke13–9-0.0412%22 Aug →
cache2–13-0.0329%22 Aug →
nuke25–230.0123%22 Aug →
ancient13–11-0.0413%22 Aug →
ancient7–13-0.0413%22 Aug →
mirage13–90.0026%22 Aug →
vertigo13–30.0113%22 Aug →
inferno13–9-0.0528%22 Aug →
ancient1–13-0.0414%22 Aug →
dust23–13-0.0222%22 Aug →
inferno17–19-0.0525%14 Aug →
ancient16–14-0.0115%14 Aug →
nuke5–13-0.0630%13 Aug →
vertigo5–13-0.0518%12 Aug →
nuke10–13-0.0118%12 Aug →
ancient9–13-0.0421%12 Aug →
inferno14–16-0.0220%12 Aug →
vertigo25–23-0.0215%11 Aug →
dust29–13-0.0524%11 Aug →
inferno13–70.0328%9 Aug →
anubis13–110.0819%6 Aug →
ancient13–70.0226%6 Aug →
inferno9–130.0220%6 Aug →

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.