Open computed research · version 1.0.0
Where all 11,664 Guna Milan pairings score
The complete distribution behind our score reference pages: every ordered pairing of 108 bride and 108 groom nakshatra-pada positions, published for checking and reuse.
What does the dataset contain?
It contains all 11,664 pairings grouped into 62 exact score rows. Each row gives its pairing count, exact share of the population and the share that reaches that score or higher. The full range is 2–33out of 36 and the mean is 20.1181.
How was it produced?
This is exhaustive enumeration, not a survey or random sample. Twenty-seven nakshatras with four padas give 108 positions for each person. The build scores all 108 bride × 108 groom ordered pairs under this site’s default reference configuration, then writes the returned totals into these public files. The dataset script implements no scoring rules of its own; it reads the existing versioned engine.
Profile ID: doosri-rai-ashtakoota-default-v1
Engine version: 0.4.4
Result fingerprint: 956bfe94f7a7472c0cab4b62371676d7d3337209a0a9cdc9abe1f73b077a737d
yoniMatrixramanyoniSexModeignoreganaMatrix1varnaMapv1varnaRulestandardvashyaSystemrashi_listvashyaScoringeithervashyaMatrixm1taraRule1grahaMaitriScoringabhakootDirectionalfalse
This research file preserves half-point totals and rare tails. The separate SEO reference pages group half points by their floor and omit very sparse tails because those pages answer whole-number queries; the downloadable dataset does not inherit that editorial threshold.
Which rule-level base rates are included?
All eight kootas carry their mean, full-marks rate and zero-marks rate. This is the citable table behind findings such as nadi returning zero for a third of pairings and bhakoot returning zero for half. The JSON also records that bhakoot, nadi or gana is zero in 75.2915% of the complete position population.
| Koota | Maximum | Mean | Full marks | Zero |
|---|---|---|---|---|
| varna | 1 | 0.625 | 62.5% | 37.5% |
| vashya | 2 | 0.4444 | 22.2222% | 77.7778% |
| tara | 3 | 2 | 33.3333% | 0% |
| yoni | 4 | 1.882 | 7.2702% | 7.1331% |
| graha Maitri | 5 | 3 | 38.8889% | 5.5556% |
| gana | 6 | 3.3333 | 33.3333% | 22.2222% |
| bhakoot | 7 | 3.5 | 50% | 50% |
| nadi | 8 | 5.3333 | 66.6667% | 33.3333% |
Does it include disagreement between traditions?
Yes, and the axes are kept separate. In 11.5% of the 11,664 ordered pairings, at least two of the five schools fall on opposite sides of 18/36. A broader56.4% receive a different answer on at least one measured star-only axis; this also includes cancellation, cross-system and hard-veto differences. The cross-system figure alone is 31.5%, while at least one school raises a hard veto in 21%. Exhaustive comparison over all 11,664 ordered nakshatra-pada pairings. School verdict divergence means at least two of five schools fall on opposite sides of 18/36; any-axis divergence additionally includes cancellation, cross-system and hard-veto differences. Manglik house-set divergence uses a separate seeded 2,000-chart census and is not part of this dataset.
What are its limits?
This is a distribution over the complete position space, not observed couples or marriage outcomes. The dataset reports what one documented scoring configuration computes; it does not validate an astrological claim. The distribution gives every position equal weight and does not model the observed frequency of real birth stars.
How may it be reused and cited?
The CSV and JSON are released under CC BY 4.0. Cite “Doosri Rai, Kundli matching score distribution, version 1.0.0 (2026)” and link this page so a reader can see the method and limitations, not just an isolated number. The source policy explains how computed findings and traditional source claims are kept separate.
How can a value be checked?
Open the JSON for the method and version, compare a row with the score-distribution explainer and use the base-rates tool for the threshold view. If a published file and a rendered page disagree, report the exact row through the contact page; material corrections are logged publicly.