Radar Chart

MMA Fighter Skill Analysis

Dark-themed radar chart comparing MMA fighters across striking, grappling, cardio, fight IQ, and finishing ability.

Output
MMA Fighter Skill Analysis
Python
import matplotlib.pyplot as plt
import numpy as np

# MMA fighter skills
categories = ['Striking', 'Wrestling', 'BJJ/Grappling', 'Cardio',
              'Fight IQ', 'Power', 'Chin', 'Finishing Ability']
              
striker = [98, 70, 65, 85, 88, 95, 80, 90]
wrestler = [75, 98, 88, 92, 85, 75, 85, 78]
bjj = [70, 85, 98, 88, 90, 70, 82, 85]
mma = [88, 85, 85, 90, 92, 82, 88, 85]

N = len(categories)
angles = np.linspace(0, 2 * np.pi, N, endpoint=False).tolist()
angles += angles[:1]

striker += striker[:1]
wrestler += wrestler[:1]
bjj += bjj[:1]
mma += mma[:1]

fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

ax.plot(angles, striker, 'o-', linewidth=2.5, color='#C82909', label='Striker', markersize=7)
ax.fill(angles, striker, alpha=0.2, color='#C82909')

ax.plot(angles, wrestler, 's-', linewidth=2.5, color='#27D3F5', label='Wrestler', markersize=7)
ax.fill(angles, wrestler, alpha=0.2, color='#27D3F5')

ax.plot(angles, bjj, '^-', linewidth=2.5, color='#6CF527', label='BJJ Specialist', markersize=7)
ax.fill(angles, bjj, alpha=0.2, color='#6CF527')

ax.plot(angles, mma, 'D-', linewidth=2.5, color='#F5B027', label='Complete MMA', markersize=7)
ax.fill(angles, mma, alpha=0.2, color='#F5B027')

ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=10, color='#e2e8f0', fontweight='500')
ax.set_ylim(0, 100)

ax.yaxis.grid(True, color='#1e293b', linestyle='-', linewidth=0.8)
ax.xaxis.grid(True, color='#334155', linestyle='-', linewidth=0.5)
ax.spines['polar'].set_color('#334155')
ax.tick_params(axis='y', colors='#94a3b8')

ax.set_title('MMA Fighter Skill Profiles', fontsize=16, color='#f8fafc',
             fontweight='bold', pad=25)

ax.legend(loc='upper right', bbox_to_anchor=(1.2, 1.1), fontsize=10,
          frameon=True, facecolor='#1e293b', edgecolor='#334155', labelcolor='#e2e8f0')

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Polar Charts

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