physiofuchs

physiofuchs — CS2 Stats

76561198159530479[U:1:199264751]Steam profile ↗✓ No bans

577Tracked matches47%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
Premier CS Rating20,107Top 50% of 204,219 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#78629 of 251343 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,107 -564 28 Mar – 11 Oct · 29 days played
19,72421,719peak 21,71928 Mar11 Oct
21,719Peak Premier in tracked matches
41Days played since 2026-03-18

Premier CS Rating

  • 1,612 below peak (21,719)
  • +103 over 30 days · steady
  • +348 over 90 days
  • Next: Red band at 25,000 — 4,893 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-20
  • Purple band first seen 2026-08-31

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

Share this profile

CSDB.GGphysiofuchsPREMIER20,107 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning53
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWWLLWLLLLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.7pp headshot accuracy · −30ms 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 -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 561ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 526ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

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 (+1.9 against its own average).

Aim6.9
Utility5.7
Positioning5.3
Opening Duels3.1
Clutch1.2

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.9
Positioning5.3
Utility5.7
Mechanics6.8
Opening Duels3.9
Win Impact3.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time555ms−28ms
first ⅓ avg 583ms → last ⅓ avg 555ms
Headshot accuracy19.1%+0.1%
first ⅓ avg 19.0% → last ⅓ avg 19.1%

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 · 13–3 · ancient, 28 Jul →
39%Best headshot accuracy · 10–13 · mirage, 27 Mar →
383msFastest reaction time · 2–13 · inferno, 22 Aug →
13–3Biggest win · ancient, 28 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
7–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 58% over 24infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
ancientA2414–1058%0.01
mirageC2310–1343%-0.01
infernoD175–1229%-0.02
anubisB115–645%-0.01
cacheA95–456%-0.02
overpassC52–340%0.02
dust2—40–40%-0.06
nuke—31–233%-0.04
vertigo—10–10%-0.09
boulder—11–0100%0.08
train—11–0100%-0.05
poseidon—10–10%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

71Matches
54%Win rate
0.93Avg K/D
77.2ADR
50%Headshot %

Clutches & streaks

26%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2245%0.8214.9
Ancient1872%1.2015.7
Inferno1553%0.9113.1
Anubis333%0.9015.3
Nuke20%0.478.5
Dust220%0.6214.5
Cache20%0.9215.5
Overpass1100%1.5517.0

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.

18.7%Headshot accuracy
31.9%Accuracy (enemy spotted)
32.7%Spray accuracy
80.7%Counter-strafing
9.6°Preaim
543msReaction time
46.9%T opening success
44.1%CT opening success
0.66Enemies flashed / flash
7.2%Flash assists
11.76HE damage / grenade
4.48Flashes / match

Recommended for you

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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–80.0018%11 Oct →
ancient13–80.0016%3 Oct →
anubis10–13-0.0623%3 Oct →
ancient10–130.0426%2 Oct →
mirage16–13-0.0210%2 Oct →
inferno4–13-0.0331%30 Sept →
ancient6–130.0224%30 Sept →
cache14–16-0.0518%27 Sept →
mirage14–16-0.0222%27 Sept →
ancient13–11-0.059%27 Sept →
dust24–13-0.0824%23 Sept →
ancient13–110.0027%23 Sept →
mirage19–16-0.0118%22 Sept →
ancient2–130.0112%13 Sept →
mirage2–13-0.1022%12 Sept →
cache13–6-0.0511%12 Sept →
ancient13–11-0.0517%12 Sept →
mirage2–13-0.058%2 Sept →
inferno16–120.0618%30 Aug →
cache14–16-0.0411%23 Aug →
inferno2–13-0.0314%22 Aug →
inferno13–11-0.029%19 Aug →
ancient3–13-0.0312%19 Aug →
mirage13–100.0127%19 Aug →
vertigo5–9-0.0912%19 Aug →
inferno9–4-0.0628%19 Aug →
overpass7–130.0819%19 Aug →
dust23–13-0.0427%19 Aug →
anubis13–80.0622%29 Jul →
inferno10–130.0124%29 Jul →
ancient13–30.1220%28 Jul →
cache13–30.1028%28 Jul →
boulder13–40.0823%28 Jul →
anubis13–70.0215%28 Jul →
cache13–30.0011%22 Jul →
anubis8–130.0024%22 Jul →
cache13–70.015%19 Jul →
ancient4–13-0.0324%19 Jul →
inferno13–11-0.0219%18 Jul →
dust23–13-0.0916%18 Jul →
mirage13–40.0420%18 Jul →
inferno8–13-0.0625%18 Jul →
anubis7–13-0.0113%18 Jul →
ancient13–40.0113%18 Jul →
ancient9–130.0518%16 Jul →
inferno2–13-0.0614%15 Jul →
mirage13–8-0.0310%15 Jul →
mirage13–9-0.0520%5 Jul →
nuke8–13-0.0521%5 Jul →
ancient13–40.0326%5 Jul →
mirage7–13-0.0118%5 Jul →
mirage12–16-0.049%5 Jul →
ancient13–9-0.0613%5 Jul →
inferno13–100.0515%5 Jul →
mirage8–130.0622%5 Jul →
mirage10–13-0.0519%5 Jul →
mirage10–130.0127%5 Jul →
ancient15–15-0.0316%5 Jul →
ancient13–80.0116%4 Jul →
inferno5–13-0.0413%3 Jul →
overpass11–13-0.0212%3 Jul →
inferno8–13-0.0414%1 Jul →
anubis15–150.0213%1 Jul →
ancient13–6-0.0426%1 Jul →
mirage13–6-0.0017%1 Jul →
train13–11-0.0523%1 Jul →
cache13–9-0.0128%1 Jul →
anubis8–13-0.0911%24 Jun →
mirage10–13-0.0313%24 Jun →
overpass4–13-0.043%20 Jun →
anubis13–7-0.0218%20 Jun →
ancient13–50.0815%17 Jun →
cache8–13-0.0220%17 Jun →
anubis13–9-0.0316%16 Jun →
ancient10–13-0.0215%16 Jun →
cache5–13-0.069%14 Jun →
nuke10–13-0.0417%10 Jun →
nuke13–8-0.0221%19 May →
mirage10–13-0.0519%19 May →
inferno10–130.0037%28 Apr →
mirage6–130.0323%28 Apr →
ancient13–50.0820%22 Apr →
anubis13–60.0328%22 Apr →
overpass13–90.0118%22 Apr →
ancient10–130.0212%10 Apr →
mirage13–100.018%10 Apr →
inferno4–13-0.0413%8 Apr →
ancient13–10-0.0118%8 Apr →
inferno10–130.0319%6 Apr →
overpass13–100.0615%6 Apr →
mirage10–130.0419%6 Apr →
ancient8–13-0.0337%29 Mar →
anubis8–130.0123%29 Mar →
dust28–13-0.0327%29 Mar →
inferno13–16-0.0319%29 Mar →
inferno8–13-0.0120%29 Mar →
mirage13–80.0220%28 Mar →
mirage13–11-0.028%27 Mar →
mirage10–13-0.0439%27 Mar →
poseidon8–80.0826%18 Mar →

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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