How BoutMatrix Works
Discover how our intelligent matchmaking system finds perfect boxing opponents in seconds using powerful algorithms and manual filtering tools
Manual Entry Matchmaking
Take complete control of your search with our advanced manual filtering system designed for precise opponent matching
Note: This is for demonstration purposes only and may change in production.
Manual Entry
Manually search and filter boxers to find matches
Total number of bouts the boxer has competed in
Step 1: Set Your Criteria
Start by selecting your primary boxer or enter specific criteria manually. Set filters for gender, age, date of birth, weight, and availability to narrow down potential opponents.
Filtered Boxers
Step 2: Adjust Match Parameters
Fine-tune your search using dynamic sliders for age range, weight range, and bout experience. The system automatically filters by the selected boxer's gender to ensure appropriate matchups.
Flexible Filtering
Adjust age range (±months), weight range (±kg), and bout experience (±bouts) with intuitive sliders for precise matching
Real-Time Results
See total boxers and filtered results update instantly as you adjust criteria, giving you full visibility into available opponents
Skills vs Regular Bouts
Toggle between skills bouts and regular competitive bouts to find the right type of matchup for your boxer's development
The MatchScore Algorithm
Our powerful matching algorithm evaluates multiple criteria to identify the safest, fairest, and most competitive amateur boxing matchups
England Boxing Age Categories
BoutMatrix adheres to official England Boxing age classifications to ensure safe and appropriate matchups
Schoolboy/Schoolgirl
12-14
years old
Junior
15-16
years old
Youth
17-18
years old
Senior
19+
years old
All matchups are automatically filtered to comply with England Boxing age category regulations
How the Algorithm Works
BoutMatrix uses a sophisticated scoring system that analyzes key factors to determine bout quality and safety. Every potential matchup receives a MatchScore based on compatibility across multiple dimensions.
Data Collection
System gathers boxer age, weight, bout experience, gender, and availability from the boxing database
Criteria Matching
Algorithm compares each criterion within the specified ranges (±months, ±kg, ±bouts)
MatchScore Calculation
Each match receives a score based on how closely boxers align across all criteria
Ranked Results
Best matches appear first, with safety compliance verified automatically
Chris Runolfsson
Southside Gym
Tom Richards
Warriors Boxing Club
MatchScore
16 yrs
55.5 kg
28
91%
Recommendation: This is an excellent match with high compatibility across all criteria. Both boxers are closely matched in age, weight, and experience, ensuring a safe and competitive bout that meets England Boxing standards.
MatchScore Criteria
Age Compatibility
High PriorityEnsures boxers are within acceptable age range for fair competition
Weight Class Match
CriticalVerifies both boxers can safely compete at similar weights
Experience Level
High PriorityMatches boxers with similar bout experience to prevent mismatches
Availability Sync
EssentialConfirms both boxers are available for the same dates
Bout Type
Medium PriorityDistinguishes between skills bouts and competitive matchups
Lightning Fast
Algorithm processes thousands of potential matchups in under 2 seconds, delivering instant results
Safety First
Every match automatically checks England Boxing safety regulations and medical requirements
Precise Matching
Multi-factor scoring ensures you get the best possible matchup for fair, competitive bouts
Why This Matters
Traditional matchmaking takes hours of phone calls, messages, and guesswork. BoutMatrix combines manual control with intelligent automation to give you the best of both worlds.
Manual Control
Experienced matchmakers can fine-tune every parameter and apply their professional judgment while still benefiting from automated filtering and safety checks.
Algorithm Power
New matchmakers get intelligent recommendations that ensure safety and fairness, learning from the system's scoring to develop their matchmaking skills over time.