Herr Oberförster

Herr Oberförster — CS2 Stats

76561198144390242[U:1:184124514]Steam profile ↗✓ No bans

606Tracked matches43%Win rate2026Tracked since
CSDB Rating3.8 LearningPositional Player
Premier CS Rating5,000Light Blue band · top ~78.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (22 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: 5,000 -3,820 13 Aug – 14 Sept · 25 days played
5,0009,997peak 9,99713 Aug14 Sept
9,999Peak Premier in tracked matches
26Days played since 2026-08-13

Premier CS Rating

  • 4,997 below peak (9,997)
  • -2,314 over 30 days · declining
  • Next: Blue band at 10,000 — 5,000 to go
  • Reached: Light Blue band

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

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CSDB.GGHerr OberförsterPREMIER5,000 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning49
Utility15

0–100 skill scores via Leetify.

Recent form

COLD46–50–4Last 10046%Win rateLLWWLLTLWT

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.1pp headshot accuracy · −18ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 537ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 566ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

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: Positional Player — Positioning stands above the rest of this profile (+2.9 against its own average).

Aim5.9
Utility1.5
Positioning4.9
Opening Duels1.7
Clutch0.0

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 572ms 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

Aim5.9
Positioning4.9
Utility1.5
Mechanics5.5
Opening Duels1.7
Win Impact2.6

Composite 3.8/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time573ms−35ms
first ⅓ avg 608ms → last ⅓ avg 573ms
Headshot accuracy12.3%−2.0%
first ⅓ avg 14.3% → last ⅓ avg 12.3%

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 · 13–1 · mirage, 7 Sept →
27%Best headshot accuracy · 10–13 · inferno, 2 Sept →
438msFastest reaction time · 9–13 · ancient, 10 Sept →
13–1Biggest win · mirage, 7 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
12–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 71% over 7ancientWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B3016–1453%-0.00
mirageC229–1341%0.03
nukeB199–1047%-0.00
ancientD111–109%-0.01
anubisB84–450%0.01
infernoS75–271%-0.02
train—21–150%-0.04
cache—11–0100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
33%Win rate
0.51Avg K/D
57.4ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.426.5
Dust21100%0.6712.0

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.

12.2%Headshot accuracy
34.0%Accuracy (enemy spotted)
38.8%Spray accuracy
74.6%Counter-strafing
10.0°Preaim
572msReaction time
38.2%T opening success
35.3%CT opening success
0.18Enemies flashed / flash
0.5%Flash assists
5.48HE damage / grenade
1.34Flashes / 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 12.2408% — below the 15% 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 0.1822 — 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 38.2084% — below the 40% mark we flag

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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0320%14 Sept →
dust28–13-0.0518%14 Sept →
dust213–90.0015%12 Sept →
dust213–11-0.0111%11 Sept →
nuke11–130.0015%11 Sept →
dust22–130.0122%11 Sept →
dust215–15-0.0018%11 Sept →
mirage14–16-0.0314%11 Sept →
inferno13–80.054%11 Sept →
nuke15–15-0.026%10 Sept →
ancient9–13-0.025%10 Sept →
dust213–110.0212%9 Sept →
anubis11–130.0011%9 Sept →
nuke13–40.0220%9 Sept →
ancient11–130.0512%8 Sept →
dust20–13-0.0318%8 Sept →
dust213–9-0.056%8 Sept →
ancient10–130.0916%8 Sept →
nuke13–50.1218%7 Sept →
mirage8–13-0.0713%7 Sept →
mirage13–10.1317%7 Sept →
ancient6–13-0.002%6 Sept →
mirage13–100.0410%6 Sept →
anubis13–11-0.006%6 Sept →
nuke10–130.016%6 Sept →
dust213–8-0.0123%5 Sept →
mirage11–13-0.0215%5 Sept →
mirage13–50.044%5 Sept →
mirage8–13-0.0111%5 Sept →
ancient11–13-0.0611%2 Sept →
nuke15–150.0210%2 Sept →
anubis9–13-0.0110%2 Sept →
nuke0–13-0.098%2 Sept →
inferno10–13-0.1027%2 Sept →
mirage4–130.126%2 Sept →
dust20–9-0.0317%2 Sept →
inferno13–110.0310%2 Sept →
dust25–13-0.056%2 Sept →
ancient12–16-0.0114%2 Sept →
dust29–13-0.0418%1 Sept →
dust213–90.0114%1 Sept →
mirage10–130.0810%30 Aug →
nuke10–13-0.047%30 Aug →
anubis10–13-0.0119%30 Aug →
ancient13–80.0111%28 Aug →
nuke5–13-0.047%28 Aug →
dust213–40.0211%27 Aug →
anubis13–110.0015%27 Aug →
dust213–80.1216%27 Aug →
mirage12–120.0312%27 Aug →
dust213–6-0.099%26 Aug →
mirage8–13-0.0411%26 Aug →
inferno13–9-0.029%25 Aug →
ancient3–13-0.075%25 Aug →
cache13–50.0213%25 Aug →
mirage9–13-0.0115%25 Aug →
dust211–130.0520%25 Aug →
mirage13–40.036%25 Aug →
mirage13–20.0317%23 Aug →
dust29–13-0.019%23 Aug →
mirage13–10-0.019%23 Aug →
nuke13–7-0.038%22 Aug →
dust213–90.029%22 Aug →
mirage13–110.016%22 Aug →
anubis13–110.0712%21 Aug →
dust213–60.0510%21 Aug →
dust213–60.1113%21 Aug →
inferno6–13-0.068%21 Aug →
nuke16–140.0220%21 Aug →
nuke3–130.0019%21 Aug →
ancient3–11-0.094%21 Aug →
nuke11–13-0.0917%20 Aug →
dust28–130.0112%20 Aug →
dust213–30.077%19 Aug →
nuke13–110.0211%19 Aug →
dust213–7-0.0211%19 Aug →
dust213–8-0.0113%18 Aug →
nuke13–11-0.0324%18 Aug →
dust27–13-0.1012%18 Aug →
dust25–130.0226%18 Aug →
inferno13–11-0.0220%18 Aug →
anubis13–70.0217%18 Aug →
train13–10-0.026%17 Aug →
nuke13–90.0212%17 Aug →
ancient6–130.0216%17 Aug →
train3–13-0.0510%17 Aug →
nuke13–20.0516%17 Aug →
inferno13–7-0.007%15 Aug →
mirage8–130.0116%15 Aug →
mirage11–130.0312%15 Aug →
ancient6–13-0.0118%14 Aug →
dust213–70.0220%14 Aug →
anubis9–13-0.0116%14 Aug →
mirage13–50.089%14 Aug →
nuke2–13-0.0719%14 Aug →
mirage8–130.0615%14 Aug →
dust26–13-0.0611%14 Aug →
nuke13–110.0420%13 Aug →
mirage13–50.0713%13 Aug →
mirage6–13-0.0113%13 Aug →

Match data via Leetify.

Milestones

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

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