Helmut Stienker-Fisse

Helmut Stienker-Fisse — CS2 Stats

76561198185757986[U:1:225492258]Steam profile ↗✓ No bans

82Tracked matches50%Win rate2020Tracked since
1,386Hours in CS1Hrs last 2 wks
CSDB Rating6.3 SolidOpening Duellist
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 20 Sep 2020. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,660 -86 13 Mar – 24 Jun · 12 days played
11,63114,207peak 14,20713 Mar24 Jun
14,207Peak Premier in tracked matches
47Days played since 2020-09-20

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

Performance scores

Aim80
Positioning63
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY40–38–3Last 8149%Win rateWLWLWLLWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +2.2pp headshot accuracy · +6ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 517ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 590ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 587ms

Newest first, from the last 81 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Opening Duellist — Winning opening duels is what stands out in this profile (+1.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.0
Utility2.9
Positioning6.3
Opening Duels7.3

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

donk

Plays most like donk 86% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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. 619ms 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

Aim8.0
Positioning6.3
Utility2.9
Mechanics7.1
Opening Duels6.3
Win Impact5.0

Composite 6.3/10 (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 rating0.05+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.05
Reaction time595ms−42ms
first ⅓ avg 637ms → last ⅓ avg 595ms
Headshot accuracy20.2%+1.2%
first ⅓ avg 19.1% → last ⅓ avg 20.2%

Rolling 5-match average across the last 81 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.20Best match rating · 9–1 · nuke, 18 Mar →
39%Best headshot accuracy · 3–9 · vertigo, 6 Jul →
380msFastest reaction time · 14–16 · mirage, 20 Sept →
13–1Biggest win · inferno, 7 Mar →

Across the last 81 tracked matches.

Highlights

4Longest win streak
7–8In matches decided by ≤2 rounds
23Overtime games

Map breakdown

infernoBest map · 70% over 20ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2014–670%0.06
nukeA1911–858%0.07
mirageD93–633%0.02
ancientD91–811%0.03
dust2C83–538%0.02
vertigoD51–420%0.01
anubis—42–250%0.04
train—43–175%0.03
overpass—21–150%0.04
cache—11–0100%0.06

Across the last 81 tracked matches.

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

Lifetime stats

32,833Lifetime kills
1.20K/D · Top 25% of tracked players
1,426Matches
46.7%Match win rate · Top 50% of tracked players
43.3%Headshot %
19.7%Shot accuracy · Top 5% of tracked players
4,579MVPs
604Hours (in match)
1,273Bombs planted
328Bombs defused

Most-used weapons

Lifetime map wins

3,273dust2
1,954inferno
1,299nuke
270cbble
232vertigo
183train
112office
64dust

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

Skill profile

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

20.8%Headshot accuracy
36.7%Accuracy (enemy spotted)
40.0%Spray accuracy
82.0%Counter-strafing
8.4°Preaim
619msReaction time
49.7%T opening success
60.9%CT opening success
0.55Enemies flashed / flash
5.7%Flash assists
7.55HE damage / grenade
8.06Flashes / match

Recommended for you

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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.0722%23 Sept →
anubis3–13-0.0212%23 Sept →
cache13–70.0616%25 Jul →
dust28–130.0521%25 Jul →
inferno16–120.0420%25 Jul →
nuke8–130.0620%23 Oct →
ancient11–130.0630%15 Oct →
overpass16–120.0522%10 Oct →
nuke13–70.0426%10 Oct →
nuke14–160.0319%4 Sept →
inferno9–13-0.0213%3 Sept →
ancient6–130.1221%3 Sept →
inferno9–13-0.0114%21 Aug →
overpass8–130.0235%21 Aug →
inferno13–60.0922%8 Aug →
inferno13–40.1023%8 Aug →
inferno13–40.0413%28 Jul →
ancient9–13-0.035%28 Jul →
train13–90.1131%24 Jun →
mirage0–13-0.0410%23 Jun →
ancient13–80.1322%7 Jun →
inferno13–50.0416%7 Jun →
nuke6–20.0617%7 Jun →
dust213–50.1016%4 Jun →
ancient7–130.0521%4 Jun →
train13–60.0525%2 Jun →
dust29–130.0431%26 May →
mirage10–130.0930%24 May →
train5–13-0.0218%24 May →
train16–14-0.0218%18 Apr →
dust211–13-0.0318%18 Apr →
nuke13–110.0630%13 Apr →
anubis10–130.0532%2 Apr →
ancient9–130.0218%23 Mar →
mirage2–13-0.0413%23 Mar →
inferno13–110.0425%19 Mar →
ancient7–130.0015%18 Mar →
nuke13–110.0614%13 Mar →
ancient14–160.0125%12 Mar →
nuke13–90.0931%12 Mar →
mirage3–130.0322%11 Mar →
anubis13–60.0925%11 Mar →
nuke13–60.1933%7 Mar →
nuke16–120.0817%7 Mar →
inferno13–10.2014%7 Mar →
inferno5–13-0.0517%5 Mar →
inferno4–130.0631%5 Mar →
inferno13–30.0815%22 Feb →
dust213–100.1336%22 Feb →
nuke10–130.1417%22 Feb →
inferno11–130.0418%22 Feb →
nuke4–130.0329%21 Feb →
anubis13–100.0416%21 Feb →
inferno13–60.1826%21 Feb →
dust213–6-0.0725%4 May →
dust25–13-0.1324%4 May →
vertigo3–9-0.0339%6 Jul →
mirage9–5-0.0731%6 Jul →
inferno9–40.0922%7 May →
inferno9–70.1424%29 Apr →
nuke8–8-0.0013%9 Apr →
nuke6–10.0511%9 Apr →
inferno16–80.0316%9 Apr →
vertigo9–160.0210%9 Apr →
nuke9–50.0312%6 Apr →
vertigo8–160.0524%5 Apr →
vertigo8–16-0.0114%4 Apr →
nuke15–15-0.0017%2 Apr →
inferno5–16-0.0320%2 Apr →
mirage16–80.1524%2 Apr →
vertigo16–140.0314%2 Apr →
nuke13–160.0316%1 Apr →
nuke16–100.0411%30 Mar →
inferno16–130.0931%30 Mar →
mirage15–150.0328%30 Mar →
nuke9–10.2020%18 Mar →
nuke14–160.0416%13 Jan →
ancient2–16-0.1110%19 Nov →
dust214–160.0610%5 Apr →
inferno16–140.0710%29 Aug →
mirage14–160.0022%20 Sept →

Match data via Leetify.

Recent teammates

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