Jochen der Rochen

Jochen der Rochen — CS2 Stats

DE76561198079184358[U:1:118918630]Steam profile ↗✓ No bans

2,865Tracked matches60%Win rate2023Tracked since
2,591Hours in CS41Hrs last 2 wks
CSDB Rating4.8 DevelopingClutch Specialist
Premier CS Rating14,272Blue band · top ~32.3% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 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: 14,272 +5,882 1 Oct – 25 Oct · 15 days played
8,39014,272peak 14,2721 Oct25 Oct
14,272Peak Premier in tracked matches
24Days played since 2026-09-25

Premier CS Rating

  • At peak — 14,272
  • +5,882 over 30 days · improving
  • Next: Purple band at 15,000 — 728 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate39.1%42.0%44.4%5.3% short
Shot accuracy0.0%9.6%11.9%11.8% short
Kill/death ratio0.690.981.030.35 short
Match win rate33.9%43.8%45.2%11.3% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJochen der RochenPREMIER14,272 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning45
Utility54

0–100 skill scores via Leetify.

Recent form

HOT54–44–2Last 10054%Win rateWWWWWWWWWW

Last 10 vs previous 10: +60pp win rate · +0.03 avg rating · −8.1pp headshot accuracy · −19ms reaction

Win rate up 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

  • 5–0 · 100% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 531ms

Last 10

  • 10–0 · 100% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 591ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 601ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim5.0
Utility5.4
Positioning4.5
Opening Duels0.8
Clutch6.0

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

iM

Plays most like iM 74% 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

Reaction time. 627ms 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

Aim5.0
Positioning4.5
Utility5.4
Mechanics5.6
Opening Duels2.1
Win Impact8.3

Composite 4.8/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time638ms+19ms
first ⅓ avg 618ms → last ⅓ avg 638ms
Headshot accuracy14.2%−1.1%
first ⅓ avg 15.3% → last ⅓ avg 14.2%

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 · 13–5 · nuke, 25 Oct →
44%Best headshot accuracy · 2–13 · inferno, 4 Oct →
375msFastest reaction time · 13–2 · anubis, 5 Oct →
13–1Biggest win · anubis, 25 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W11Current streak
7–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 63% over 19dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheA1912–763%-0.04
anubisA127–558%-0.05
mirageB115–645%-0.04
trainB105–550%-0.04
ancientC104–640%-0.03
nukeC94–544%-0.03
infernoB84–450%-0.04
dust2D72–529%-0.06
overpassA53–260%-0.05
vertigo—43–175%-0.06
italy—33–0100%-0.05
office—11–0100%-0.04
shelter—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,152Lifetime kills
0.69K/D
3,962Matches
33.9%Match win rate
39.1%Headshot %
0.0%Shot accuracy
3,322MVPs
1,289Hours (in match)
3,207Bombs planted
355Bombs defused

Most-used weapons

Lifetime map wins

3,812dust2
3,787italy
3,555inferno
2,191train
1,596nuke
506office
451vertigo
109ar_shoots

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

Faceit stats

Combat

27Matches
33%Win rate
0.68Avg K/D
61.5ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
21%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1040%0.7110.5
Dust2520%0.549.8
Inferno540%0.7414.8
Mirage333%0.6112.7
Overpass20%0.689.0
Train10%0.628.0
Ancient1100%1.0619.0

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.

14.1%Headshot accuracy
31.5%Accuracy (enemy spotted)
33.7%Spray accuracy
75.0%Counter-strafing
9.5°Preaim
627msReaction time
42.8%T opening success
34.0%CT opening success
0.59Enemies flashed / flash
2.4%Flash assists
6.10HE damage / grenade
7.94Flashes / 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 14.1291% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.0021% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–60.0110%28 Oct →
vertigo13–8-0.065%28 Oct →
vertigo13–11-0.0415%27 Oct →
anubis13–11-0.044%25 Oct →
nuke13–50.1011%25 Oct →
anubis13–10.0413%25 Oct →
cache13–60.016%25 Oct →
cache13–5-0.0819%24 Oct →
cache13–6-0.019%24 Oct →
mirage13–7-0.048%24 Oct →
nuke13–6-0.029%24 Oct →
train3–13-0.0940%23 Oct →
ancient6–13-0.0115%23 Oct →
dust213–30.0524%23 Oct →
ancient9–13-0.0319%22 Oct →
dust29–13-0.0619%22 Oct →
cache8–13-0.0713%21 Oct →
inferno13–8-0.0616%21 Oct →
ancient14–16-0.0414%20 Oct →
cache13–8-0.0311%20 Oct →
inferno13–60.0410%20 Oct →
inferno9–13-0.0811%20 Oct →
anubis3–13-0.0611%20 Oct →
nuke13–11-0.0129%20 Oct →
anubis7–13-0.0825%20 Oct →
overpass13–8-0.0515%19 Oct →
mirage2–13-0.0713%18 Oct →
anubis13–8-0.088%18 Oct →
ancient7–13-0.0418%16 Oct →
nuke4–13-0.0412%16 Oct →
vertigo6–13-0.0921%15 Oct →
mirage6–13-0.0414%15 Oct →
nuke6–13-0.078%15 Oct →
inferno2–13-0.047%15 Oct →
cache7–13-0.0710%15 Oct →
train8–13-0.0829%14 Oct →
dust24–13-0.137%14 Oct →
cache8–13-0.0218%14 Oct →
nuke12–12-0.0818%14 Oct →
ancient13–7-0.0111%14 Oct →
train13–80.0313%14 Oct →
overpass13–4-0.046%14 Oct →
cache13–9-0.0511%14 Oct →
dust27–13-0.0613%13 Oct →
inferno13–5-0.0515%13 Oct →
cache13–7-0.0412%13 Oct →
mirage3–13-0.037%13 Oct →
overpass5–13-0.0827%13 Oct →
ancient13–11-0.0715%13 Oct →
anubis13–80.0012%13 Oct →
train11–13-0.0519%13 Oct →
italy11–7-0.0621%13 Oct →
office13–9-0.0410%13 Oct →
italy13–10-0.0713%12 Oct →
cache10–13-0.0512%12 Oct →
mirage4–13-0.0211%12 Oct →
cache13–4-0.0912%12 Oct →
ancient16–14-0.0515%12 Oct →
train13–40.0118%11 Oct →
mirage3–13-0.0315%11 Oct →
italy13–8-0.0221%11 Oct →
cache13–6-0.038%11 Oct →
train4–13-0.0610%11 Oct →
cache10–13-0.114%11 Oct →
train13–11-0.0818%9 Oct →
anubis12–12-0.1013%9 Oct →
cache13–80.0318%9 Oct →
train11–13-0.0515%8 Oct →
dust21–13-0.086%8 Oct →
anubis0–13-0.100%8 Oct →
dust213–8-0.0415%8 Oct →
nuke10–13-0.0314%8 Oct →
ancient11–13-0.0716%6 Oct →
mirage13–9-0.033%6 Oct →
inferno13–10-0.0611%6 Oct →
cache13–3-0.0115%6 Oct →
nuke14–16-0.059%6 Oct →
anubis10–13-0.1117%5 Oct →
ancient3–130.0129%5 Oct →
train13–3-0.0415%5 Oct →
mirage13–90.0118%5 Oct →
anubis13–2-0.0115%5 Oct →
inferno6–13-0.0314%4 Oct →
inferno2–13-0.0744%4 Oct →
ancient13–8-0.0411%4 Oct →
cache10–13-0.0315%4 Oct →
dust26–13-0.0923%2 Oct →
cache13–2-0.0310%2 Oct →
overpass13–11-0.0219%2 Oct →
anubis13–80.0121%2 Oct →
nuke13–7-0.028%2 Oct →
cache13–9-0.026%1 Oct →
mirage13–3-0.0219%1 Oct →
shelter13–5-0.0238%1 Oct →
anubis13–8-0.0910%1 Oct →
mirage13–4-0.049%1 Oct →
cache10–13-0.0115%1 Oct →
overpass7–13-0.0722%1 Oct →
vertigo13–9-0.0517%1 Oct →
mirage7–13-0.118%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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