Assistenzkraft

Assistenzkraft — CS2 Stats

76561198023665118[U:1:63399390]Steam profile ↗✓ No bans

1,806Tracked matches38%Win rate2023Tracked since
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating16,933Purple band · top ~20.7% 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 24 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,806 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,933 +1,410 5 Jun – 24 Oct · 18 days played
15,40919,014peak 19,0145 Jun24 Oct
19,014Peak Premier in tracked matches
37Days played since 2026-02-26

Premier CS Rating

  • 2,081 below peak (19,014)
  • -821 over 30 days · declining
  • Next: Pink band at 20,000 — 3,067 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

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

Share this profile

CSDB.GGAssistenzkraftFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,933 · Purple 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

Aim65
Positioning33
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateLLLLLWLWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +6.4pp headshot accuracy · −43ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 538ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 545ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 567ms

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 (+1.8 against its own average).

Aim6.5
Utility2.7
Positioning3.3
Opening Duels0.0
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 96% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Reaction time. 556ms 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

Aim6.5
Positioning3.3
Utility2.7
Mechanics6.4
Opening Duels0.1
Win Impact1.0

Composite 4.1/10 (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-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time551ms−91ms
first ⅓ avg 642ms → last ⅓ avg 551ms
Headshot accuracy18.0%+3.3%
first ⅓ avg 14.7% → last ⅓ avg 18.0%

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

0.06Best match rating · 13–4 · mirage, 1 Aug →
32%Best headshot accuracy · 11–13 · cache, 20 Jul →
391msFastest reaction time · 6–13 · inferno, 6 Oct →
13–3Biggest win · vertigo, 10 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L5Current streak
5–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 83% over 12infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageD237–1630%-0.02
cacheB179–853%-0.02
dust2D134–931%0.00
anubisB126–650%-0.03
ancientS1210–283%-0.02
nukeC104–640%-0.01
infernoD71–614%-0.02
vertigo—32–167%0.01
train—10–10%-0.04
overpass—11–0100%-0.05
stronghold—11–0100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

344Matches
50%Win rate
0.78Avg K/D
51.1ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis4161%0.9212.7
Mirage3946%0.9113.1
Vertigo3050%0.8613.6
Ancient2157%0.8012.6
Nuke1644%0.9112.2
Inferno1362%0.6910.8
Overpass1145%0.619.1
Dust21040%0.8011.5

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.

18.6%Headshot accuracy
31.5%Accuracy (enemy spotted)
38.5%Spray accuracy
79.0%Counter-strafing
11.2°Preaim
556msReaction time
18.7%T opening success
30.8%CT opening success
0.33Enemies flashed / flash
0.6%Flash assists
7.60HE damage / grenade
3.36Flashes / 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. 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 0.3339 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 18.6834% — below the 40% mark we flag

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0514%8 Oct →
cache11–13-0.0824%8 Oct →
inferno6–13-0.0122%6 Oct →
inferno8–13-0.0721%6 Oct →
mirage8–130.0219%5 Oct →
nuke13–8-0.0123%5 Oct →
ancient4–13-0.0423%5 Oct →
cache13–9-0.0230%4 Oct →
cache13–6-0.0428%3 Oct →
ancient8–5-0.0323%3 Oct →
mirage7–13-0.0316%3 Oct →
inferno4–13-0.0221%1 Oct →
dust25–13-0.0723%17 Sept →
ancient13–10-0.0614%17 Sept →
mirage13–60.0112%27 Aug →
mirage11–13-0.0016%27 Aug →
inferno12–160.0117%27 Aug →
nuke8–13-0.0111%27 Aug →
cache8–13-0.0412%27 Aug →
ancient13–11-0.0420%27 Aug →
anubis7–13-0.085%27 Aug →
cache16–12-0.0125%26 Aug →
ancient13–6-0.0317%26 Aug →
dust26–13-0.0418%26 Aug →
anubis13–9-0.0116%26 Aug →
dust215–150.0214%26 Aug →
mirage13–50.0215%21 Aug →
mirage9–13-0.0216%21 Aug →
anubis3–13-0.0223%21 Aug →
mirage10–13-0.0223%15 Aug →
cache13–8-0.0712%15 Aug →
ancient13–9-0.018%15 Aug →
anubis13–10-0.0014%15 Aug →
nuke10–130.0312%13 Aug →
mirage8–13-0.0615%13 Aug →
cache13–50.0117%13 Aug →
dust210–130.0329%10 Aug →
train5–13-0.0419%10 Aug →
vertigo13–30.028%10 Aug →
cache3–13-0.047%10 Aug →
mirage9–13-0.0711%9 Aug →
dust213–40.0111%9 Aug →
cache13–100.0120%9 Aug →
ancient13–50.037%9 Aug →
dust25–130.0626%9 Aug →
mirage13–80.0113%7 Aug →
ancient13–10-0.0213%1 Aug →
mirage13–40.0615%1 Aug →
mirage8–13-0.0316%20 Jul →
cache11–13-0.0315%20 Jul →
dust29–13-0.037%20 Jul →
cache11–13-0.0332%20 Jul →
anubis13–8-0.0414%20 Jul →
mirage13–11-0.0527%18 Jul →
mirage6–13-0.099%18 Jul →
anubis13–9-0.057%9 Jul →
inferno9–13-0.0212%27 Jun →
ancient16–13-0.0415%23 Jun →
anubis11–130.0012%23 Jun →
mirage5–13-0.0711%23 Jun →
nuke13–11-0.042%23 Jun →
overpass13–8-0.0523%17 Jun →
inferno13–6-0.0116%17 Jun →
cache9–13-0.0314%17 Jun →
dust27–13-0.0215%15 Jun →
cache13–4-0.0223%12 Jun →
anubis7–13-0.0921%11 Jun →
dust29–130.0325%11 Jun →
dust28–13-0.0621%5 Jun →
anubis13–6-0.0210%5 Jun →
cache9–13-0.034%5 Jun →
ancient10–13-0.0419%31 May →
mirage13–50.0617%31 May →
nuke8–13-0.009%31 May →
mirage14–16-0.0219%30 May →
ancient13–50.0014%29 May →
mirage4–13-0.0220%28 May →
inferno8–13-0.019%28 May →
nuke13–70.0125%28 May →
mirage13–90.0420%26 May →
ancient5–1-0.000%26 May →
vertigo10–13-0.027%18 May →
stronghold5–1-0.0418%18 May →
nuke11–13-0.064%18 May →
nuke13–50.027%17 May →
vertigo13–110.0218%17 May →
mirage2–13-0.0715%17 May →
cache13–7-0.0127%17 May →
dust213–40.0619%17 May →
cache13–4-0.0014%17 May →
mirage8–13-0.0316%16 May →
cache6–130.0116%16 May →
nuke5–13-0.036%1 Mar →
anubis8–13-0.0410%1 Mar →
dust213–90.0114%27 Feb →
mirage10–13-0.0712%27 Feb →
mirage9–13-0.0518%26 Feb →
dust213–60.0219%26 Feb →
anubis13–110.0111%26 Feb →
nuke5–13-0.0221%26 Feb →

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.