Most Goals Scored In Bundesliga Season Review
return ( <div> <h1>🏆 Most Goals in a Bundesliga Season</h1> <label>Minimum goals: <input type="number" value=filter onChange=e => setFilter(e.target.value) /> </label> <Bar data=chartData /> <table border="1" cellPadding="8"> <thead><tr><th>Rank</th><th>Player</th><th>Season</th><th>Club</th><th>Goals</th><th>Games</th><th>Ratio</th></tr></thead> <tbody> data.map((item, idx) => ( <tr key=idx> <td>idx + 1</td> <td>item.player</td> <td>item.season</td> <td>item.club</td> <td>item.goals</td> <td>item.games</td> <td>(item.goals / item.games).toFixed(2)</td> </tr> )) </tbody> </table> </div> ); ;
const chartData = labels: data.map(item => $item.player ($item.season) ), datasets: [ label: 'Goals', data: data.map(item => item.goals), backgroundColor: 'rgba(75, 192, 192, 0.6)', ] ; most goals scored in bundesliga season
useEffect(() => fetch( /api/top-goal-scorers?min_goals=$filter ) .then(res => res.json()) .then(setData); , [filter]); return ( <div> <h1>🏆 Most Goals in a
@app.route('/api/player/<name>', methods=['GET']) def get_player_seasons(name): return jsonify([s for s in bundesliga_goals if s['player'].lower() == name.lower()]) import React, useEffect, useState from 'react'; import Bar from 'react-chartjs-2'; const BundesligaGoalsLeaderboard = () => const [data, setData] = useState([]); const [filter, setFilter] = useState(0); Only top 10 shown here for brevity
@app.route('/api/top-goal-scorers', methods=['GET']) def get_top_scorers(): min_goals = request.args.get('min_goals', default=0, type=int) filtered = [s for s in bundesliga_goals if s['goals'] >= min_goals] filtered.sort(key=lambda x: x['goals'], reverse=True) return jsonify(filtered)
Goal: Display, sort, and visualize the top goal-scoring seasons in Bundesliga history, with filtering by player, season, or club. 📊 Dataset (Top 20 Seasons) | Rank | Player | Season | Club | Goals | Games | Ratio | |------|--------|--------|------|-------|-------|-------| | 1 | Robert Lewandowski | 2020–21 | Bayern Munich | 41 | 29 | 1.41 | | 2 | Gerd Müller | 1971–72 | Bayern Munich | 40 | 34 | 1.18 | | 3 | Robert Lewandowski | 2019–20 | Bayern Munich | 34 | 31 | 1.10 | | 4 | Gerd Müller | 1969–70 | Bayern Munich | 38 | 33 | 1.15 | | 5 | Gerd Müller | 1972–73 | Bayern Munich | 36 | 33 | 1.09 | | 6 | Dieter Müller | 1976–77 | 1. FC Köln | 34 | 34 | 1.00 | | 7 | Ailton | 2003–04 | Werder Bremen | 28 | 33 | 0.85 | | 8 | Mario Gomez | 2010–11 | Bayern Munich | 28 | 32 | 0.88 | | 9 | Pierre-Emerick Aubameyang | 2016–17 | Dortmund | 31 | 32 | 0.97 | | 10 | Robert Lewandowski | 2017–18 | Bayern Munich | 29 | 30 | 0.97 | Full list extends to 30+ seasons. Only top 10 shown here for brevity. 🧩 Backend Logic (Python/Flask example) from flask import Flask, jsonify, request app = Flask( name ) In-memory dataset bundesliga_goals = [ "player": "Robert Lewandowski", "season": "2020–21", "club": "Bayern Munich", "goals": 41, "games": 29, "player": "Gerd Müller", "season": "1971–72", "club": "Bayern Munich", "goals": 40, "games": 34, # ... add more ]
