SterbenFear

SterbenFear — CS2 Stats

DE76561198311014490[U:1:350748762]Steam profile ↗✓ No bans

2,721Tracked matches37%Win rate2020Tracked since
3,897Hours in CS13Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+37Tracked matches · now 2,721
+21.7ppWin rate · 15.4% → 37.0%

Rating over time

38Days played since 2026-08-08

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches41——
Win rate29%——
K/D0.94——
Headshot %48%——

Measured 15 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,088), 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 8 medianLevel 9 medianvs Level 9
Headshot rate41.3%46.8%48.2%7.0% short
Shot accuracy9.7%13.0%13.2%3.5% short
Kill/death ratio1.011.061.070.06 short
Match win rate48.6%46.3%46.9%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSterbenFearFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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

Aim54
Positioning55
Utility66

0–100 skill scores via Leetify.

Recent form

COLD23–67–10Last 10023%Win rateWLLLWLLLLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +1.5pp headshot accuracy · −3ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 561ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 605ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 606ms

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 (+2.2 against its own average).

Aim5.4
Utility6.6
Positioning5.5
Opening Duels2.7
Clutch2.8

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

ZywOo

Plays most like ZywOo 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. 584ms 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

Aim5.4
Positioning5.5
Utility6.6
Mechanics5.8
Opening Duels5.4
Win Impact0.7

Composite 5.2/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time587ms−9ms
first ⅓ avg 596ms → last ⅓ avg 587ms
Headshot accuracy14.9%−2.7%
first ⅓ avg 17.7% → last ⅓ avg 14.9%

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 · 13–5 · ancient, 23 Aug →
33%Best headshot accuracy · 5–13 · nuke, 26 Aug →
398msFastest reaction time · 5–13 · nuke, 26 Aug →
13–2Biggest win · cache, 15 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–4In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 33% over 15mirageWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
nukeD192–1711%-0.01
dust2D165–1131%0.01
ancientD155–1033%0.00
infernoD124–833%-0.03
mirageD111–109%-0.01
cacheD113–827%-0.01
anubisD101–910%-0.01
overpass—20–20%-0.03
office—20–20%-0.08
fachwerk—11–0100%0.07
shelter—11–0100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (9% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,003Lifetime kills
1.01K/D
6,828Matches
48.6%Match win rate · Top 50% of Level 8 players
41.3%Headshot %
9.7%Shot accuracy
18,865MVPs
2,370Hours (in match)
4,692Bombs planted
4,368Bombs defused

Most-used weapons

AK-4743,786
AWP11,524
MP94,200
SG 5533,827
MAC-103,528
AUG2,205

Lifetime map wins

10,324inferno
9,977dust2
6,323vertigo
4,753nuke
4,502train
469cbble
305lake
235office

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

Faceit stats

Combat

123Matches
58%Win rate
1.24Avg K/D
86.0ADR
41%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3853%1.3017.7
Anubis1753%1.1814.7
Dust21656%1.3017.8
Ancient1346%1.2919.3
Inferno1258%1.1215.1
Nuke1164%1.1319.6
Vertigo771%1.2518.4
Train475%1.2517.3

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.

15.5%Headshot accuracy
29.7%Accuracy (enemy spotted)
33.3%Spray accuracy
76.3%Counter-strafing
9.8°Preaim
584msReaction time
57.5%T opening success
45.7%CT opening success
0.68Enemies flashed / flash
11.2%Flash assists
8.96HE damage / grenade
11.92Flashes / match

Recommended for you

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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.1115%16 Oct →
nuke10–130.0015%12 Oct →
mirage1–130.0114%12 Oct →
ancient4–13-0.0315%12 Oct →
mirage13–110.0614%11 Oct →
nuke1–13-0.086%11 Oct →
dust29–13-0.0213%11 Oct →
ancient6–130.0315%11 Oct →
anubis7–13-0.0817%11 Oct →
anubis8–13-0.0614%10 Oct →
nuke8–130.0515%7 Oct →
fachwerk5–00.0713%7 Oct →
anubis5–10.1111%5 Oct →
inferno4–9-0.1420%5 Oct →
nuke13–4-0.053%4 Oct →
ancient2–13-0.028%4 Oct →
cache7–130.0510%3 Oct →
shelter13–70.0626%3 Oct →
inferno1–9-0.245%3 Oct →
dust26–130.0311%30 Sept →
overpass5–13-0.0810%30 Sept →
dust212–120.0418%30 Sept →
mirage9–13-0.0311%30 Sept →
nuke12–12-0.0128%30 Sept →
nuke12–120.0522%29 Sept →
dust213–50.0819%29 Sept →
cache5–13-0.0415%28 Sept →
inferno13–3-0.0226%28 Sept →
dust213–6-0.0519%27 Sept →
inferno4–130.058%26 Sept →
nuke10–13-0.0313%26 Sept →
dust213–100.0827%26 Sept →
cache5–130.0418%23 Sept →
nuke11–130.0524%23 Sept →
mirage6–13-0.0113%23 Sept →
dust213–7-0.039%23 Sept →
anubis9–13-0.0716%18 Sept →
nuke9–130.0121%12 Sept →
ancient13–5-0.0318%12 Sept →
overpass4–130.0313%11 Sept →
inferno13–8-0.028%11 Sept →
dust27–13-0.0520%11 Sept →
anubis10–13-0.0115%11 Sept →
mirage5–13-0.028%10 Sept →
dust211–13-0.0116%10 Sept →
cache2–13-0.0320%9 Sept →
mirage8–13-0.019%9 Sept →
inferno1–13-0.0417%8 Sept →
nuke8–130.0119%8 Sept →
dust26–13-0.0523%7 Sept →
inferno6–13-0.0121%7 Sept →
nuke12–12-0.0011%7 Sept →
mirage9–130.0216%7 Sept →
ancient13–3-0.0213%7 Sept →
nuke12–12-0.0219%6 Sept →
dust212–120.0219%6 Sept →
ancient6–13-0.0113%6 Sept →
mirage8–13-0.035%5 Sept →
anubis1–130.0412%5 Sept →
cache9–130.0220%5 Sept →
dust212–120.1118%5 Sept →
office10–13-0.0614%4 Sept →
office1–13-0.1023%4 Sept →
inferno11–13-0.0427%3 Sept →
ancient13–9-0.0318%1 Sept →
nuke5–13-0.0233%26 Aug →
ancient5–13-0.0416%25 Aug →
dust211–13-0.0215%25 Aug →
anubis7–13-0.0423%23 Aug →
ancient13–50.1214%23 Aug →
nuke8–130.0116%23 Aug →
mirage4–13-0.0311%23 Aug →
cache4–13-0.0712%21 Aug →
ancient9–130.0217%21 Aug →
inferno7–130.0123%15 Aug →
cache13–20.0133%15 Aug →
mirage4–13-0.0111%15 Aug →
ancient8–13-0.0411%14 Aug →
dust213–6-0.0021%14 Aug →
cache2–13-0.0314%14 Aug →
mirage2–6-0.0332%13 Aug →
nuke13–11-0.0321%13 Aug →
nuke6–13-0.0122%12 Aug →
anubis7–13-0.0711%12 Aug →
ancient12–120.0217%12 Aug →
cache6–13-0.0814%12 Aug →
dust27–13-0.0318%11 Aug →
nuke5–13-0.0811%11 Aug →
anubis6–13-0.0224%11 Aug →
cache13–50.0521%11 Aug →
inferno13–60.0317%10 Aug →
inferno13–110.0213%9 Aug →
cache13–80.0222%9 Aug →
nuke4–13-0.0420%9 Aug →
inferno2–13-0.0117%9 Aug →
dust212–12-0.039%9 Aug →
ancient3–13-0.0132%8 Aug →
anubis12–120.0814%8 Aug →
ancient10–13-0.0211%8 Aug →
nuke4–130.0716%8 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.