fischlöwe

fischlöwe — CS2 Stats

GM76561198066791874[U:1:106526146]Steam profile ↗✓ No bans

685Tracked matches43%Win rate2022Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating18,634Purple band · top ~13.9% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 685 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,634 +4,686 17 May – 29 Oct · 31 days played
13,27919,148peak 19,14817 May29 Oct
Faceit ELO: 1,164 +0 5 Sept – 21 Sept · 2 observations
1,1641,164peak 1,1645 Sept21 Sept
19,367Peak Premier in tracked matches
1,164Highest Faceit ELO seen on CSDB
35Days played since 2026-05-17

Premier CS Rating

  • 514 below peak (19,148)
  • 0 over 30 days · steady
  • -514 over 90 days
  • Next: Pink band at 20,000 — 1,366 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-21
  • Blue band first seen 2026-09-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGfischlöweFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,634 · Purple bandPEAK ELO1,164csdb.gg/stats

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Performance scores

Aim74
Positioning37
Utility52

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateLLLWWWLLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +5.1pp headshot accuracy · +30ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 659ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 636ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 621ms

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 (+1.8 against its own average).

Aim7.4
Utility5.2
Positioning3.7
Opening Duels0.6
Clutch4.0

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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 36 points — deaths here waste a strong aim profile.

Reaction time. 621ms 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

Aim7.4
Positioning3.7
Utility5.2
Mechanics8.2
Opening Duels0.8
Win Impact2.8

Composite 5.3/10 (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-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time618ms−29ms
first ⅓ avg 647ms → last ⅓ avg 618ms
Headshot accuracy14.8%−2.6%
first ⅓ avg 17.3% → last ⅓ avg 14.8%

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

0.18Best match rating · 9–4 · debris, 1 Aug →
44%Best headshot accuracy · 13–10 · inferno, 1 Jun →
422msFastest reaction time · 13–4 · ancient, 26 Jul →
13–0Biggest win · inferno, 28 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
11–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 75% over 8dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD2910–1934%-0.02
anubisC167–944%-0.02
ancientS128–467%-0.04
nukeA116–555%-0.04
cacheA106–460%0.00
overpassS86–275%-0.07
mirageA74–357%-0.03
dust2D50–50%-0.03
office—10–10%-0.07
debris—11–0100%0.18

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

40Matches
70%Win rate
0.79Avg K/D
59.0ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
14%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno743%0.8711.6
Anubis667%0.8612.8
Overpass6100%0.9013.0
Ancient667%0.7812.2
Mirage580%0.719.6
Cache450%0.7610.8
Train3100%0.7712.0
Nuke250%0.517.5

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.

15.2%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.1%Spray accuracy
86.9%Counter-strafing
8.9°Preaim
621msReaction time
21.5%T opening success
36.1%CT opening success
0.60Enemies flashed / flash
2.9%Flash assists
13.76HE damage / grenade
6.17Flashes / 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 21.5351% — below the 40% mark we flag

Spend your practice time on Dust 2

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0416%17 Oct →
dust22–13-0.0135%17 Oct →
inferno6–130.0515%17 Oct →
cache13–50.0714%11 Sept →
inferno13–11-0.0222%11 Sept →
nuke13–80.0121%11 Sept →
office2–13-0.0711%11 Sept →
ancient10–13-0.0111%26 Aug →
cache10–13-0.0315%1 Aug →
ancient5–13-0.1215%1 Aug →
inferno8–80.0616%1 Aug →
debris9–40.187%1 Aug →
cache13–5-0.019%28 Jul →
anubis13–60.008%28 Jul →
cache13–110.0620%28 Jul →
inferno13–00.0316%28 Jul →
ancient13–4-0.049%26 Jul →
anubis11–13-0.0611%26 Jul →
nuke13–11-0.0817%26 Jul →
anubis11–130.0110%25 Jul →
anubis13–110.0124%25 Jul →
anubis2–10-0.158%24 Jul →
nuke13–70.0415%24 Jul →
cache9–13-0.064%24 Jul →
inferno10–130.0324%22 Jul →
anubis5–13-0.043%22 Jul →
inferno9–13-0.096%21 Jul →
anubis14–16-0.0518%21 Jul →
ancient13–10.0121%21 Jul →
dust24–13-0.0118%20 Jul →
mirage13–10-0.0221%20 Jul →
inferno9–13-0.0717%20 Jul →
ancient3–13-0.0612%20 Jul →
nuke9–13-0.0714%19 Jul →
inferno13–3-0.0516%19 Jul →
ancient11–3-0.0418%19 Jul →
inferno4–13-0.0431%19 Jul →
inferno9–13-0.0513%14 Jul →
cache13–4-0.029%14 Jul →
nuke13–5-0.0215%13 Jul →
inferno13–100.028%13 Jul →
anubis13–70.016%13 Jul →
cache11–130.0925%12 Jul →
inferno8–13-0.0814%12 Jul →
anubis7–13-0.0520%12 Jul →
ancient13–8-0.0616%12 Jul →
cache11–13-0.054%12 Jul →
cache13–5-0.0211%12 Jul →
nuke13–6-0.0615%11 Jul →
ancient13–10-0.0712%11 Jul →
anubis11–13-0.0110%11 Jul →
cache13–1-0.0032%11 Jul →
inferno13–9-0.0224%10 Jul →
nuke7–13-0.048%5 Jul →
inferno4–130.0434%5 Jul →
ancient13–7-0.006%5 Jul →
inferno8–130.0314%2 Jul →
nuke9–13-0.0416%2 Jul →
nuke2–5-0.098%30 Jun →
mirage9–13-0.0610%30 Jun →
inferno13–11-0.027%30 Jun →
overpass13–6-0.079%26 Jun →
overpass13–1-0.0710%26 Jun →
overpass6–13-0.090%17 Jun →
nuke8–13-0.0818%16 Jun →
overpass13–10-0.0225%16 Jun →
inferno13–11-0.0517%16 Jun →
inferno9–13-0.0321%5 Jun →
overpass4–1-0.050%5 Jun →
ancient13–11-0.019%5 Jun →
overpass11–13-0.098%5 Jun →
anubis6–13-0.0418%3 Jun →
inferno6–130.0521%3 Jun →
mirage13–10-0.0212%3 Jun →
inferno7–13-0.085%2 Jun →
overpass13–8-0.0527%2 Jun →
anubis13–8-0.0015%1 Jun →
inferno15–150.0316%1 Jun →
dust28–13-0.0317%1 Jun →
inferno13–10-0.0444%1 Jun →
mirage9–130.0022%1 Jun →
inferno8–13-0.0920%31 May →
ancient5–13-0.0715%31 May →
inferno13–16-0.0322%30 May →
inferno13–11-0.0431%30 May →
anubis13–100.0316%30 May →
inferno11–13-0.0018%28 May →
ancient13–9-0.0112%28 May →
overpass13–8-0.0710%28 May →
nuke13–7-0.0221%28 May →
anubis2–13-0.0515%27 May →
anubis13–80.0527%21 May →
inferno6–13-0.048%20 May →
anubis13–110.0215%20 May →
inferno9–13-0.0118%19 May →
mirage13–11-0.056%19 May →
dust211–13-0.0427%19 May →
mirage13–10-0.0418%17 May →
inferno13–110.0323%17 May →
dust210–13-0.0714%17 May →

Match data via Leetify.

Recent teammates

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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