GUIDES · BETSLIP DOCTOR
How should I compare appearance counts across adjacent calendar windows?
Choose one cutoff and compare equal-length, non-overlapping windows that end and begin at the same boundary. State the dates, time zone and captured coverage, then count the same kind of completed appearance in each. A higher count describes the records in those windows; it does not by itself show stronger performance, effort or future activity.
For Bettors and cappers interpreting sports-record evidence · Updated
Make the two windows equal and adjacent
A fair calendar comparison holds the window length constant. For a 14-day comparison, label the most recent 14-day period and the immediately preceding 14-day period using the same cutoff convention. Do not compare a 7-day count with a 14-day count and call the raw totals equivalent.
Write the exact first and last dates for both periods and use one stated time-zone basis. A clear boundary prevents overlap or a gap from counting the same appearance twice or leaving an unexamined day between windows.
Count the same kind of appearance in both periods
Decide what qualifies before comparing: for example, completed appearances in the captured schedule, not a mix of completed events, future fixtures and unverified entries. Apply the same inclusion rule to each window. If one period has incomplete coverage, report that limitation beside its count.
A count is a count of records meeting the definition. It does not describe minutes played, role, opponent quality or exertion unless separate fields support those questions. Keep the date-window comparison separate from any interpretation of what the number means.
Keep seven-day and fourteen-day comparisons distinct
A 7-day view can show a shorter interval; a 14-day view covers a longer one. Each comparison should use two windows of the same length. If you want to discuss both, report each pair separately instead of comparing a seven-day total directly with a fourteen-day total.
State the data cutoff and what records were captured. A rolling window changes as its endpoint moves, so two counts from different cutoffs may not be comparable even if both are called the most recent 14 days. Preserve the dates with the figures.
Hypothetical: adjacent 14-day counts
In a fictional teaching ledger with a stated Sunday cutoff, the recent window covers June 1 through June 14 and contains five completed appearances. The immediately preceding window covers May 18 through May 31 and contains three. Under the same captured-schedule rule, the recent 14-day count is higher by two. This says nothing on its own about quality, playing time or future performance. A separate 7-day comparison would need two adjacent 7-day windows of its own. These counts are hypothetical, not real participant data.
Related questions
Can I compare a 7-day count with a 14-day count?
Not as equal raw windows. Compare 7 days with an adjacent 7-day period, and 14 days with an adjacent 14-day period, or state another normalized method explicitly.
What if the data is missing for part of one window?
Show the coverage gap beside the count. A smaller visible count may reflect incomplete records rather than fewer appearances.