Der Fuchs

Der Fuchs — CS2 Stats

76561198052639738[U:1:92374010]Steam profile ↗✓ No bans

1,114Tracked matches46%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
CSDB Leaderboard#99922 of 259539 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,932 +4,220 27 Mar – 27 Jun · 12 days played
14,60819,999peak 19,99927 Mar27 Jun
19,999Peak Premier in tracked matches
40Days played since 2025-12-24

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

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CSDB.GGDer FuchsFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning64
Utility50

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateWLLLLLLTWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.6pp headshot accuracy · +6ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 489ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 475ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 472ms

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 against its own average).

Aim8.1
Utility5.0
Positioning6.4
Opening Duels5.4
Clutch4.8

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

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

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

Aim8.1
Positioning6.4
Utility5.0
Mechanics6.4
Opening Duels5.8
Win Impact3.8

Composite 6.4/10 (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 rating0.00−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time466ms−58ms
first ⅓ avg 525ms → last ⅓ avg 466ms
Headshot accuracy17.0%−2.3%
first ⅓ avg 19.3% → last ⅓ avg 17.0%

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

0.15Best match rating · 6–0 · dust2, 13 May →
55%Best headshot accuracy · 13–4 · ancient, 18 Mar →
375msFastest reaction time · 13–9 · anubis, 29 Apr →
13–1Biggest win · mirage, 12 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
9–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 88% over 8nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%0.03
mirageB157–847%0.03
infernoA149–564%0.04
nukeD123–925%-0.01
anubisA106–460%0.02
ancientS97–278%0.04
cacheB84–450%-0.00
overpassS87–188%0.04
vertigo—20–20%-0.00
train—11–0100%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

560Matches
53%Win rate
1.34Avg K/D
87.4ADR
29%Headshot %

Clutches & streaks

44%1v1 clutch win
32%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21771%1.5219.1
Nuke862%1.3119.0
Mirage850%1.3717.9
Inferno667%1.2816.3
Ancient683%1.0415.7
Train580%3.4119.6
Cache580%1.7320.0
Overpass450%1.3717.3

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.

17.3%Headshot accuracy
36.1%Accuracy (enemy spotted)
30.6%Spray accuracy
78.6%Counter-strafing
7.7°Preaim
467msReaction time
48.5%T opening success
57.6%CT opening success
0.47Enemies flashed / flash
5.6%Flash assists
10.01HE damage / grenade
8.18Flashes / 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 0.4656 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–50.0819%25 Oct →
cache0–13-0.0619%25 Oct →
dust211–130.0018%24 Oct →
nuke6–13-0.108%24 Oct →
inferno5–130.0113%24 Oct →
mirage3–13-0.0712%24 Oct →
cache7–13-0.0616%24 Oct →
mirage15–150.0426%24 Oct →
anubis13–10-0.0211%23 Oct →
inferno13–80.0115%23 Oct →
dust29–130.0016%6 Oct →
cache8–130.0111%6 Oct →
nuke13–70.0824%26 Sept →
cache7–3-0.0233%26 Sept →
vertigo9–13-0.0211%23 Sept →
nuke10–13-0.0613%1 Sept →
ancient10–13-0.0117%16 Aug →
dust210–13-0.0517%15 Aug →
mirage13–30.0914%13 Aug →
mirage14–16-0.0317%5 Aug →
dust212–120.0213%20 Jul →
anubis13–100.1127%17 Jul →
mirage13–10.0217%12 Jul →
dust213–11-0.0016%12 Jul →
dust213–110.0426%12 Jul →
dust29–130.0322%10 Jul →
cache13–20.0428%10 Jul →
inferno13–60.0814%10 Jul →
nuke8–13-0.0421%27 Jun →
dust213–100.0414%27 Jun →
inferno13–6-0.0113%27 Jun →
dust24–13-0.0010%27 Jun →
nuke9–13-0.0514%27 Jun →
anubis8–13-0.0620%26 Jun →
ancient13–20.0329%26 Jun →
anubis8–13-0.033%26 Jun →
nuke19–170.0816%25 Jun →
inferno13–110.0123%25 Jun →
mirage11–130.0115%25 Jun →
cache13–80.0312%24 Jun →
dust213–30.0853%24 Jun →
inferno16–130.0213%13 Jun →
cache13–100.0232%30 May →
cache12–120.0022%30 May →
inferno13–90.0924%13 May →
dust210–13-0.0121%13 May →
nuke7–13-0.0024%13 May →
overpass13–110.0912%13 May →
inferno13–50.0728%13 May →
mirage13–10.128%13 May →
dust26–00.1517%13 May →
dust26–13-0.049%13 May →
overpass13–70.0116%29 Apr →
anubis16–140.0816%29 Apr →
anubis13–90.0430%29 Apr →
mirage13–100.0217%23 Apr →
anubis13–11-0.0132%23 Apr →
inferno7–13-0.0223%19 Apr →
dust213–80.0318%19 Apr →
nuke13–100.0025%19 Apr →
dust213–20.1130%16 Apr →
inferno16–120.0425%15 Apr →
ancient13–30.0513%15 Apr →
overpass13–60.0221%15 Apr →
overpass13–60.0319%15 Apr →
inferno13–50.1226%11 Apr →
mirage13–100.0224%10 Apr →
ancient13–50.0624%10 Apr →
ancient4–130.089%10 Apr →
mirage10–130.0213%30 Mar →
overpass16–140.0216%27 Mar →
dust213–100.0523%27 Mar →
dust212–160.1123%21 Mar →
dust213–100.0617%21 Mar →
ancient13–10-0.0317%21 Mar →
dust213–70.1216%21 Mar →
mirage10–130.0114%18 Mar →
nuke8–130.0320%18 Mar →
ancient13–40.0955%18 Mar →
overpass13–60.1116%18 Mar →
overpass14–160.0629%16 Mar →
inferno9–130.0215%16 Mar →
nuke4–13-0.1013%15 Mar →
ancient13–100.0018%15 Mar →
anubis7–130.0018%15 Mar →
mirage13–80.0619%15 Mar →
mirage10–130.1327%12 Mar →
inferno6–130.0523%12 Mar →
vertigo4–130.0211%20 Jan →
overpass13–90.0215%20 Jan →
anubis13–40.0322%1 Jan →
train13–70.0522%1 Jan →
nuke11–13-0.0214%1 Jan →
dust29–13-0.0123%1 Jan →
nuke8–130.0112%25 Dec →
anubis6–130.0821%25 Dec →
dust211–13-0.0114%25 Dec →
ancient13–110.0621%25 Dec →
inferno11–130.0616%25 Dec →
mirage15–15-0.0324%24 Dec →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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