B

K-Football Player Stats Widget

3.40

Derivation Chain

Step 1 Oh Hyeon-gyu's consecutive goals at Beşiktaş go viral
→
Step 2 Growing fandom around Korean football players abroad
→
Step 3 Real-time player stats embed widget for fan communities/media

Problem

As more Korean football players move abroad (Oh Hyeon-gyu, Kim Min-jae, Lee Kang-in, etc.), sports media creators (YouTubers, bloggers, fan community admins) want to embed up-to-date match statistics (goals, assists, heatmaps, ratings) into their articles and videos, but manually capturing and formatting data takes 30–60 minutes per match. Official stats sites either lack embed functionality or require expensive licenses (millions of KRW/~thousands of USD per year).

Solution

Collects Korean player data in real-time from football statistics APIs (football-data.org, API-Football) and provides customizable embeddable widgets via iframe for blogs, YouTube, and fan communities. Includes player season stats cards, per-match highlight stats, and league ranking comparison widgets.

Target: Football-focused YouTubers (10K+ subscribers), sports bloggers, Naver Cafe/DCInside gallery admins
Revenue Model: Premium at 19,000 KRW (~$14)/month for 3 widgets (3 players); Pro at 49,000 KRW (~$37)/month for unlimited widgets + custom design. Free tier: 1 watermarked widget.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
2.0/5
M Market
2.0/5
R Realizability
5.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (67%)

Tech Complexity
29.3/40
Data Availability
17.5/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (51/100)

Competition
8.0/20
Market Demand
3.8/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Frontend [medium] Backend [medium] Infrastructure [low]
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