Oberst Übelst der 2.

Oberst Übelst der 2. — CS2 Stats

76561198137103956[U:1:176838228]Steam profile ↗✓ No bans

367Tracked matches72%Win rate2021Tracked since
CSDB Rating5.5 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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CSDB.GGOberst Übelst der 2.FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning48
Utility34

0–100 skill scores via Leetify.

Recent form

HOT58–30–12Last 10058%Win rateLWWLWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −2.3pp headshot accuracy · −155ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 562ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 584ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 662ms

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 (+1.2 against its own average).

Aim6.2
Utility3.4
Positioning4.8
Opening Duels2.7

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

iM

Plays most like iM 94% 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

T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim6.2
Positioning4.8
Utility3.4
Mechanics6.4
Opening Duels2.4
Win Impact10.0

Composite 5.5/10 (Solid), 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-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time649ms+72ms
first ⅓ avg 577ms → last ⅓ avg 649ms
Headshot accuracy22.0%+6.7%
first ⅓ avg 15.3% → last ⅓ avg 22.0%

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

0.12Best match rating · 16–9 · dust2, 12 Jul →
56%Best headshot accuracy · 13–7 · dust2, 20 Jan →
422msFastest reaction time · 8–8 · inferno, 5 Jan →
16–3Biggest win · inferno, 17 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
56Overtime games

Map breakdown

cacheBest map · 92% over 13mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A3118–1358%0.00
infernoC188–1044%-0.00
cacheS1312–192%0.02
overpassS128–467%0.00
mirageD82–625%-0.02
officeS65–183%0.00
ancient—42–250%-0.01
vertigo—30–30%-0.04
anubis—22–0100%-0.07
nuke—21–150%-0.12
rooftop—10–10%-0.18

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.5%Headshot accuracy
30.6%Accuracy (enemy spotted)
36.9%Spray accuracy
78.6%Counter-strafing
10.0°Preaim
652msReaction time
29.6%T opening success
49.0%CT opening success
0.63Enemies flashed / flash
6.4%Flash assists
6.06HE damage / grenade
6.40Flashes / 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 29.646% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0127%21 Sept →
cache13–70.0023%6 Sept →
inferno13–11-0.0221%6 Sept →
mirage3–13-0.086%6 Sept →
dust213–60.0226%6 Sept →
dust210–20.0319%6 Sept →
ancient6–13-0.056%22 Feb →
dust213–6-0.0330%8 Feb →
anubis13–5-0.065%8 Feb →
mirage13–80.0029%8 Feb →
overpass13–7-0.0412%1 Feb →
dust29–13-0.079%1 Feb →
overpass11–13-0.0518%20 Jan →
dust213–70.0256%20 Jan →
dust212–12-0.0117%10 Jan →
office13–4-0.014%10 Jan →
anubis13–11-0.088%10 Jan →
overpass13–60.0142%10 Jan →
dust212–120.0020%10 Jan →
nuke2–9-0.1829%5 Jan →
inferno8–8-0.0913%5 Jan →
rooftop7–9-0.1813%5 Jan →
mirage4–13-0.0419%5 Jan →
mirage13–30.0421%5 Jan →
dust213–7-0.0638%5 Jan →
ancient13–5-0.0416%5 Jan →
dust212–120.0026%5 Jan →
dust213–70.0738%8 Jan →
nuke13–9-0.0526%8 Jan →
ancient12–12-0.0127%8 Jan →
dust212–12-0.0121%8 Jan →
overpass13–50.0841%8 Jan →
vertigo6–13-0.0121%8 Jan →
mirage12–12-0.0314%7 Jan →
inferno13–1-0.0144%7 Jan →
office13–4-0.0225%7 Jan →
dust213–7-0.0211%7 Jan →
dust213–30.0718%4 Dec →
dust213–70.0123%4 Dec →
inferno10–13-0.0112%3 Dec →
dust216–140.0325%3 Dec →
office13–9-0.016%3 Dec →
dust213–30.0321%3 Dec →
dust214–160.0020%2 Aug →
cache16–40.0711%2 Aug →
overpass16–14-0.0824%2 Aug →
inferno12–160.0120%12 Jul →
office16–140.0413%12 Jul →
dust29–16-0.0812%12 Jul →
dust216–13-0.0820%30 Oct →
inferno14–16-0.0415%30 Oct →
inferno16–120.0213%30 Oct →
cache16–14-0.0012%30 Oct →
ancient16–80.0616%30 Oct →
dust214–16-0.038%19 Aug →
dust216–90.0116%19 Aug →
dust216–12-0.0518%19 Aug →
dust25–160.0224%28 Jul →
cache16–12-0.0514%25 Jul →
overpass16–130.0215%19 Jul →
cache5–160.0210%13 Jul →
overpass16–14-0.058%12 Jul →
office8–8-0.0516%12 Jul →
cache16–70.0811%12 Jul →
dust216–90.1219%12 Jul →
mirage8–16-0.0216%12 Jul →
cache16–120.015%3 Jul →
dust216–50.0219%3 Jul →
cache16–50.0014%30 Jun →
inferno12–16-0.0516%27 Jun →
inferno9–16-0.0511%22 Jun →
dust215–150.008%20 Jun →
mirage7–16-0.0317%19 Jun →
inferno16–30.0415%17 Jun →
overpass9–160.0716%17 Jun →
inferno16–50.0820%16 Jun →
cache16–120.0515%15 Jun →
inferno16–60.0810%15 Jun →
dust211–160.0419%13 Jun →
dust216–11-0.0216%12 Jun →
cache16–10-0.0117%12 Jun →
overpass16–130.0514%11 Jun →
vertigo6–16-0.0513%11 Jun →
cache11–10.0819%11 Jun →
dust212–160.0012%10 Jun →
cache16–70.0121%10 Jun →
overpass9–16-0.0110%8 Jun →
cache16–100.029%7 Jun →
inferno16–14-0.035%7 Jun →
vertigo12–16-0.0619%7 Jun →
overpass16–60.0213%7 Jun →
dust216–60.097%7 Jun →
inferno15–150.0221%7 Jun →
overpass12–16-0.0122%6 Jun →
dust211–16-0.0016%6 Jun →
inferno16–90.0324%6 Jun →
mirage15–15-0.0112%3 Jun →
inferno15–150.0313%2 Jun →
inferno7–16-0.0713%2 Jun →
office16–40.0727%2 Jun →

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 →