Statistics
Statistics
Statistics turns your collection into a readable dashboard. It helps you see how your library is growing, where the collection is strongest, what formats and eras you collect most, and which records may need more attention.
Use it when you want a quick answer to questions like:
- How many records do I own?
- What is my collection probably worth?
- Which genres, decades, artists, labels, or formats dominate my shelves?
- What have I added recently?
- Which records are most valuable?
- Is my collection data complete enough for cleanup, insurance, or sharing?
Open Statistics
Open Stats from the main app navigation.
If your account is empty, Stats should show a friendly empty state instead of blank charts. Add a record manually, import from Discogs, or add from Discover to start building useful totals.
What Stats Counts
Stats should reflect the records currently in your DeepGrooves collection. Depending on the view, the app may talk about records, releases, copies, or albums:
| Term | Meaning |
|---|---|
| Record or copy | A physical item you own or track |
| Release | A specific pressing or Discogs release identity |
| Album | The title-level item shown to a normal collector |
| Wishlist item | A record you want, not one you own |
For most everyday reading, think of Stats as a collection overview. If you need exact ownership counts, exports and collection lists are better places to confirm item-level details.
Summary Cards
The top of Stats gives you fast collection totals.
Common summary cards may include:
- total records or albums,
- estimated collection value,
- recent additions,
- most common format,
- average condition,
- records with missing data,
- and high-value records.
Use summary cards as a starting point, not as a final audit. If a number looks surprising, open the related section, filter your Collection, or export your data to inspect the underlying records.
Value Summary
Stats can show a value overview when DeepGrooves has usable value data.
Value totals can include marketplace estimates, manual values, or a mix of both depending on what each record has saved.
Manual values should be treated as intentional collector-entered values. Estimated values are helpful signals, but they are not formal appraisals. For insurance, selling, or estate planning, review high-value records individually and confirm your insurer's requirements.
Genre Breakdown
The genre breakdown shows how your collection is distributed by genre.
Use genre charts to:
- understand what you collect most,
- spot genres that are underrepresented,
- find unexpected patterns after an import,
- and decide where to browse next.
If a genre looks wrong or too broad, open the record and check the release metadata. Imported Discogs data can vary by pressing and contributor history.
Decades, Years, and Release History
Decade or year charts help you see when your records were originally released.
This is useful for:
- spotting heavy eras in your collection,
- finding gaps you may want to explore,
- separating original pressings from reissues where the data supports it,
- and understanding whether your collection is mostly current, vintage, or mixed.
If a record appears in the wrong era, check whether the release year is missing, imported incorrectly, or represents the reissue rather than the original album date.
Format Breakdown
Format charts show how your collection breaks down across LPs, 7-inch singles, 12-inch singles, CDs, cassettes, box sets, and other formats.
Format counts are especially helpful after imports because they can reveal data cleanup needs. For example, a record may appear as "Vinyl" without more detail if the imported release does not have a clean format description.
Condition Analysis
Condition statistics show the overall quality profile of your collection.
Use this section to answer practical questions:
- How much of my collection is Near Mint or Very Good Plus?
- Which records need a condition grade?
- Are low-condition records dragging down value confidence?
- Do I need a cleanup pass before insurance export?
Condition matters because values depend heavily on media and sleeve condition. If a valuable record is missing condition, fix that before relying on the value.
Top Artists and Labels
Top artist and label lists show the names that appear most often in your collection.
Use these lists to:
- browse favorite artists quickly,
- spot duplicates or multiple pressings,
- see which labels you collect most,
- and discover patterns you may not have noticed.
If a name appears split across variants, such as slightly different artist spellings, that usually comes from source metadata. Use the record detail page to confirm the release identity before changing anything.
Recent Additions
Recent additions help you see what changed lately.
This section is useful after:
- a Discogs import,
- a store trip,
- manual add sessions,
- cleanup work,
- or moving records between Wishlist and Collection.
If recent additions look incomplete after a large import, check the Import completion screen and Collection filters before assuming records are missing.
Filters and Scope
Some Stats views may respond to current app scope, filters, or collection subsets. For example, you may be looking at owned collection data, Wishlist data, a folder, a Smart Collection, or a filtered collection view.
When a number looks smaller than expected, check whether you are viewing:
- all owned records,
- Wishlist,
- Favorites,
- a folder,
- a Smart Collection,
- a search result,
- or another filtered scope.
DeepGrooves should make scoped counts clear. If a count is unclear, use Collection as the source of truth and treat Stats as the overview.
Simple Mode
Simple Mode may hide advanced valuation, insurance, or collector-health details so Stats stays easier to read.
Simple Mode should still show the core story: collection size, broad trends, recent activity, and obvious next steps. Use temporary reveal or turn Simple Mode off when you need advanced value, insurance, or cleanup information.
Use Stats With Health and Smart Collections
Stats tells you what is happening. Health and Smart Collections help you act on it.
Good follow-up paths:
| If Stats shows... | Try this next |
|---|---|
| Missing values | Open Health or a Missing Value Smart Collection |
| Missing condition | Clean up condition from Health |
| High-value records | Review details, condition, value source, and photos |
| Heavy duplicate-looking artists | Check duplicates or grouped Collection views |
| Lots of records without storage | Use Vault or Missing Storage Smart Collection |
| Recent import spike | Review Import results and Health completeness |
Exports and Insurance
Stats is useful for broad totals, but exports are better for proof and review.
Use exports when you need:
- item-level details,
- value source,
- condition,
- catalog number,
- Discogs IDs,
- storage location,
- purchase notes,
- or a spreadsheet you can archive.
For insurance, combine Stats with Value and Insurance readiness. Stats can show the size of the collection, while insurance exports and snapshots preserve record-level evidence.
Troubleshooting
Stats look empty
Confirm you are signed in, licensed where required, and have records in Collection. Wishlist-only accounts may not produce the same owned-collection totals.
A chart looks wrong
Open a few records from that category and check their metadata. Genre, format, year, and label come from saved release data and may need cleanup.
Total value looks too high or too low
Check whether manual values are present, whether estimated values are stale, and whether high-value records have the right pressing and condition.
Recent additions do not match what I imported
Check the Import completion results for skipped or failed rows. Also confirm you are viewing owned Collection, not Wishlist or a filtered scope.
Stats disagree with Collection
First clear Collection filters and refresh. If the difference remains, note whether one number is counting owned copies while another is counting release-level albums. That distinction matters when you own multiple copies or multiple pressings.
Related topics:
- collection
- collection-health
- smart-collections
- value-insurance
- import-export
- discogs-import