Panel 3: Records and Data
Data Layers
Reading a record
BoxRec is the most widely used public database of bouts, covering professional boxing extensively and amateur results more patchily. For amateurs, federation results pages, tournament bulletins and local club records often fill the gaps. Always cross-check: a missing loss is common, and a missing win against a strong opponent can hide the best evidence you have.
Read a record in sequence, not as a total. Look for the shape: steady progression through tiers, a stall at one level, or a sudden jump after a coaching change. Note the gaps too. Long breaks can mean injury, school exams, a move or a weight change, and each tells a different story.
Weighing opposition
A 30–2 amateur record against first-year novices is weaker evidence than 15–8 against national medallists. For each opponent, record their experience level, their own results and the round of the tournament. Build a simple tier for each opponent: novice, open class, national level, international level.
Losses deserve a second look. A close split decision against a future Olympian can be the best result on the sheet. Vasyl Lomachenko's single reported amateur loss came early and was avenged twice, a pattern that told observers more than the hundreds of wins.
Punch statistics
CompuBox, founded in 1985 by Bob Canobbio and Logan Hobson, popularised live punch counting in televised professional boxing. Amateur bouts rarely get professional stat coverage, so scouts often track their own counts from video: punches thrown, landed, and landed clean to head and body.
Use stats to test your impressions. If you felt a boxer dominated but they landed fewer clean shots, your eye may be rewarding aggression over accuracy. Keep the counting simple and consistent; two coders counting the same round should be close, or the method needs tightening.
Red flags in the data
- Long unbeaten runs at a single local venue.
- Repeated walkovers or withdrawals in the bracket.
- Frequent weight-class changes in one season.
- Medals from events with only two or three entrants.
- Results reported only by the boxer's own camp.
None of these rules a boxer out. Each one means you need live viewing before trusting the line. Data narrows the shortlist; the ring confirms it.
Data Checks
Should I build my own database?
A simple spreadsheet with one row per viewing, opponent tier and score is enough for most scouts. Consistency matters more than tooling.
Can I publish a junior boxer's statistics?
Be cautious. Junior data involves minors; see Panel 4 for welfare and safeguarding considerations.