OberHodenChef

OberHodenChef — CS2 Stats

76561199094382780[U:1:1134117052]Steam profile ↗✓ No bans

302Tracked matches31%Win rate2021Tracked since
CSDB Rating2.0 LearningSupport
Premier CS Rating1,000Grey band · top ~95.8% 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 29 Sep 2026 (8 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: 1,000 +0 23 May – 29 Sept · 28 days played
1,0001,944peak 1,94423 May29 Sept
1,944Peak Premier in tracked matches
50Days played since 2026-05-23

Premier CS Rating

  • 944 below peak (1,944)
  • -198 over 30 days · steady
  • 0 over 90 days
  • Next: Light Blue band at 5,000 — 4,000 to go

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

Share this profile

CSDB.GGOberHodenChefFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER1,000 · Grey 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

Aim20
Positioning24
Utility39

0–100 skill scores via Leetify.

Recent form

COLD24–71–5Last 10024%Win rateLLLWLLLLLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +0.9pp headshot accuracy · −51ms reaction

Win rate down 20pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 20%
  • Avg reaction 720ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 706ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 732ms

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 (+1.8 against its own average).

Aim2.0
Utility3.9
Positioning2.4
Opening Duels0.0

Limited utility dependence

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 67% 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. 727ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.0
Positioning2.4
Utility3.9
Mechanics3.9
Opening Duels0.0
Win Impact0.0

Composite 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06+0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time715ms−74ms
first ⅓ avg 788ms → last ⅓ avg 715ms
Headshot accuracy16.8%−0.4%
first ⅓ avg 17.2% → last ⅓ avg 16.8%

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

0.05Best match rating · 13–2 · nuke, 18 Aug →
43%Best headshot accuracy · 4–13 · dust2, 15 Aug →
461msFastest reaction time · 13–3 · anubis, 28 Aug →
13–1Biggest win · office, 31 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
3–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 50% over 6cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D286–2221%-0.06
ancientD245–1921%-0.06
nukeD133–1023%-0.06
anubisC114–736%-0.05
cacheD61–517%-0.05
mirageB63–350%-0.05
infernoD51–420%-0.09
office—31–233%-0.04
overpass—30–30%-0.08
train—10–10%-0.10

Across the last 100 tracked matches.

Faceit stats

Combat

4Matches
25%Win rate
0.31Avg K/D
—ADR
62%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.424.0
Nuke20%0.202.5

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.

16.3%Headshot accuracy
22.7%Accuracy (enemy spotted)
31.4%Spray accuracy
67.7%Counter-strafing
11.3°Preaim
727msReaction time
21.9%T opening success
9.6%CT opening success
0.43Enemies flashed / flash
5.2%Flash assists
7.25HE damage / grenade
3.68Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 726.7295ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4314 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 21.8731% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0629%29 Sept →
nuke9–13-0.1028%23 Sept →
office6–13-0.047%3 Sept →
office13–1-0.0230%31 Aug →
dust212–16-0.117%30 Aug →
cache8–13-0.0313%29 Aug →
ancient6–13-0.063%28 Aug →
dust24–13-0.115%28 Aug →
ancient4–13-0.0938%28 Aug →
anubis13–30.0114%28 Aug →
dust26–13-0.0622%28 Aug →
dust213–5-0.0620%25 Aug →
train12–12-0.1026%25 Aug →
mirage13–70.0215%24 Aug →
ancient4–13-0.0918%23 Aug →
ancient5–13-0.094%23 Aug →
dust25–13-0.1014%23 Aug →
mirage13–9-0.0113%22 Aug →
ancient11–13-0.028%22 Aug →
dust213–9-0.1025%21 Aug →
inferno13–5-0.0317%21 Aug →
dust211–13-0.0626%21 Aug →
ancient11–13-0.110%21 Aug →
ancient13–60.0332%21 Aug →
anubis3–13-0.118%20 Aug →
cache0–13-0.0223%20 Aug →
dust21–13-0.1418%20 Aug →
office8–13-0.0612%19 Aug →
dust23–13-0.095%19 Aug →
ancient13–6-0.0721%19 Aug →
dust27–13-0.0812%19 Aug →
anubis13–100.0423%18 Aug →
nuke13–20.0521%18 Aug →
nuke13–3-0.070%16 Aug →
ancient13–8-0.037%16 Aug →
dust24–13-0.1143%15 Aug →
ancient15–15-0.0529%15 Aug →
anubis13–7-0.064%14 Aug →
ancient13–11-0.0615%14 Aug →
ancient9–13-0.1211%14 Aug →
ancient4–13-0.0223%13 Aug →
dust22–13-0.0621%12 Aug →
anubis10–13-0.0311%12 Aug →
nuke5–13-0.0910%11 Aug →
dust26–130.0223%11 Aug →
mirage7–13-0.1013%11 Aug →
nuke6–13-0.0415%10 Aug →
inferno2–9-0.1818%10 Aug →
mirage7–13-0.0419%9 Aug →
nuke4–13-0.1133%8 Aug →
anubis6–13-0.0811%8 Aug →
mirage13–4-0.0615%7 Aug →
cache7–13-0.1011%7 Aug →
dust213–10-0.0715%7 Aug →
nuke13–16-0.089%6 Aug →
dust29–13-0.0227%6 Aug →
dust22–13-0.0735%6 Aug →
dust29–13-0.0026%6 Aug →
ancient9–13-0.0320%6 Aug →
dust215–15-0.0415%5 Aug →
ancient10–13-0.0421%5 Aug →
dust25–13-0.0426%4 Aug →
ancient8–13-0.0925%4 Aug →
anubis12–4-0.0312%4 Aug →
cache13–8-0.0715%3 Aug →
cache12–16-0.0613%3 Aug →
dust22–13-0.1325%3 Aug →
dust24–13-0.0811%1 Aug →
cache2–13-0.0319%20 Jul →
ancient13–6-0.0913%16 Jul →
nuke15–15-0.0515%16 Jul →
inferno0–13-0.110%16 Jul →
dust29–5-0.0229%16 Jul →
anubis5–13-0.0923%11 Jul →
ancient7–13-0.0220%11 Jul →
inferno13–16-0.0525%10 Jul →
dust29–13-0.0322%10 Jul →
inferno4–13-0.0733%4 Jul →
nuke4–13-0.0918%3 Jul →
ancient3–13-0.027%3 Jul →
anubis8–13-0.1014%2 Jul →
ancient15–15-0.0127%2 Jul →
dust211–13-0.044%30 Jun →
dust28–13-0.0610%30 Jun →
overpass13–16-0.0712%27 Jun →
ancient7–13-0.0813%20 Jun →
anubis4–13-0.108%17 Jun →
ancient5–13-0.0917%15 Jun →
mirage5–13-0.126%15 Jun →
dust216–14-0.0231%13 Jun →
ancient8–13-0.1125%11 Jun →
dust213–11-0.0419%10 Jun →
overpass5–13-0.0815%7 Jun →
overpass8–13-0.0815%7 Jun →
anubis6–13-0.0513%4 Jun →
nuke8–13-0.0319%31 May →
nuke4–13-0.0316%31 May →
nuke13–9-0.0526%30 May →
nuke3–13-0.0625%23 May →
ancient9–13-0.0419%23 May →

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 →

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