jocheN

jocheN — CS2 Stats

DE76561198316275230[U:1:356009502]Steam profile ↗✓ No bans

467Tracked matches44%Win rate2020Tracked since
1,420Hours in CS
CSDB Rating4.8 DevelopingSupport
Premier CS Rating15,555Purple band · top ~26.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (18 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. 46 days played since 11 Jul 2023. 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: 15,555 +29 31 Aug2 Sept · 3 days played
15,52615,753peak 15,75331 Aug2 Sept
15,983Peak Premier in tracked matches
46Days played since 2023-07-11

Premier CS Rating

  • 198 below peak (15,753)
  • Next: Pink band at 20,000 4,445 to go
  • Reached: 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 4 among CSDB-tracked players (n=12,658), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.9%42.7%43.8%1.9% short
Shot accuracy18.5%11.2%12.0%above
Kill/death ratio1.131.001.02above
Match win rate50.0%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjocheNFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,555 · Purple 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

Aim64
Positioning39
Utility49

0–100 skill scores via Leetify.

Recent form

COLD43525Last 10043%Win rateLWWWLLLLTL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −5.8pp headshot accuracy · −21ms 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

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 536ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 516ms

Last 20

  • 7103 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 527ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim6.4
Utility4.9
Positioning3.9
Opening Duels1.6

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

device

Plays most like device 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms 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

Aim6.4
Positioning3.9
Utility4.9
Mechanics5.9
Opening Duels1.8
Win Impact3.1

Composite 4.8/10 (Developing), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time549ms−22ms
first ⅓ avg 572ms → last ⅓ avg 549ms
Headshot accuracy20.4%+3.4%
first ⅓ avg 17.0% → last ⅓ avg 20.4%

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

0.13Best match rating · 13–6 · inferno, 10 Sept
100%Best headshot accuracy · 2–1 · dust2, 31 Aug
375msFastest reaction time · 13–10 · inferno, 26 Aug
13–0Biggest win · cache, 19 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
59In matches decided by ≤2 rounds
40Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 37% over 30
MapGradePlayedRecordWin rateAvg rating
mirageC34151944%-0.01
infernoC30111937%-0.00
dust2B126650%-0.01
overpassA74357%-0.01
cacheC52340%0.01
nukeA53260%0.01
ancient21150%0.02
train21150%-0.02
vertigo2020%0.03
anubis1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 30). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,062Lifetime kills
1.13K/D · Top 25% of Level 4 players
3,456Matches
50.0%Match win rate · Top 25% of Level 4 players
41.9%Headshot %
18.5%Shot accuracy · Top 10% of Level 4 players
11,203MVPs
1,420Hours (in match)
3,616Bombs planted
900Bombs defused

Most-used weapons

AK-4717,858
AWP11,157
SSG 082,015
P901,394
P2501,386

Lifetime map wins

11,914inferno
5,718dust2
2,202train
1,948cbble
334nuke
268vertigo
209office
129lake

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

Faceit stats

Combat

231Matches
53%Win rate
0.99Avg K/D
ADR
39%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

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.

18.2%Headshot accuracy
31.4%Accuracy (enemy spotted)
33.5%Spray accuracy
76.7%Counter-strafing
9.7°Preaim
553msReaction time
25.8%T opening success
44.4%CT opening success
0.53Enemies flashed / flash
2.8%Flash assists
9.46HE damage / grenade
10.33Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.8425% — below the 40% mark we flag

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.

37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0231%2 Sept
cache13–70.0220%2 Sept
nuke13–10-0.0114%2 Sept
ancient13–70.0610%2 Sept
mirage14–160.1210%2 Sept
inferno4–13-0.0916%2 Sept
mirage5–13-0.0814%2 Sept
mirage9–13-0.0719%2 Sept
dust215–15-0.0715%2 Sept
inferno9–130.0420%2 Sept
mirage11–13-0.0619%1 Sept
dust24–13-0.0122%1 Sept
mirage13–11-0.079%1 Sept
dust215–15-0.0311%31 Aug
inferno9–13-0.124%31 Aug
dust22–10.03100%31 Aug
dust216–12-0.0015%31 Aug
mirage15–15-0.0615%31 Aug
dust213–90.0321%31 Aug
inferno2–9-0.199%29 Aug
mirage13–70.1016%28 Aug
inferno11–130.0324%27 Aug
nuke7–13-0.0211%27 Aug
mirage6–13-0.0236%27 Aug
inferno13–100.0120%26 Aug
dust213–90.0320%26 Aug
cache14–16-0.0517%24 Aug
mirage5–13-0.0520%24 Aug
mirage13–70.0024%19 Aug
dust214–16-0.0424%19 Aug
mirage13–60.0231%19 Aug
cache13–00.0824%19 Aug
dust213–40.0616%19 Aug
cache10–13-0.0026%7 Aug
mirage6–13-0.0416%6 Jan
mirage13–5-0.0314%4 Jan
train13–10-0.0418%15 Dec
train10–13-0.0122%19 Nov
mirage3–5-0.0415%19 Aug
vertigo5–130.0421%24 May
inferno13–20.0623%24 May
mirage13–20.0518%24 May
mirage13–00.0617%21 May
mirage7–120.0126%9 Feb
mirage10–13-0.0214%9 Feb
inferno13–80.0910%9 Feb
mirage5–10.0029%9 Feb
inferno0–3-0.010%22 Sept
inferno2–13-0.0727%19 Sept
overpass6–13-0.0516%19 Sept
mirage1–7-0.0444%18 Sept
inferno13–60.1154%17 Sept
mirage13–30.0833%17 Sept
inferno11–13-0.0026%15 Sept
mirage13–8-0.0120%15 Sept
nuke13–50.0328%15 Sept
inferno13–16-0.0239%15 Sept
inferno13–10.0832%13 Sept
overpass13–20.1338%13 Sept
nuke13–50.1055%10 Sept
inferno13–60.1346%10 Sept
inferno3–13-0.0158%10 Sept
mirage8–13-0.0619%9 Sept
mirage13–80.0627%9 Sept
inferno13–110.0148%9 Sept
inferno5–13-0.0021%3 Sept
overpass13–9-0.0011%1 Sept
inferno15–150.0213%25 Aug
nuke12–16-0.0516%24 Aug
inferno13–160.0818%23 Aug
mirage9–16-0.0318%22 Aug
dust28–160.029%20 Aug
overpass16–11-0.0416%20 Aug
overpass6–16-0.0114%6 Aug
vertigo7–160.0135%5 Aug
inferno14–160.0115%5 Aug
mirage11–16-0.0522%4 Aug
mirage5–16-0.0820%2 Aug
inferno15–150.0213%1 Aug
mirage9–16-0.0817%30 Jul
mirage10–16-0.0321%30 Jul
overpass3–16-0.0822%30 Jul
mirage9–7-0.0115%24 Jul
mirage1–16-0.0553%19 Jul
mirage16–80.0119%19 Jul
dust27–16-0.064%16 Jul
cache14–16-0.0215%16 Jul
overpass16–14-0.0110%16 Jul
mirage16–5-0.0121%15 Jul
mirage16–12-0.0313%15 Jul
dust216–6-0.0326%15 Jul
inferno16–6-0.0418%15 Jul
inferno16–100.0631%15 Jul
inferno2–16-0.0710%15 Jul
inferno13–16-0.0614%15 Jul
inferno16–130.016%13 Jul
inferno19–15-0.0014%12 Jul
ancient7–16-0.025%12 Jul
inferno12–16-0.0815%12 Jul
inferno6–16-0.144%11 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →