2023 Panini Flawless — Flawless Dual Autographs Ruby /15 — Adam Vinatieri / Ty Law NFL
Price history for Adam Vinatieri / Ty Law — Flawless Dual Autographs Ruby #10 /15 from 2023 Panini Flawless . Data is based on tracked eBay sold listings, including Best Offer accepted prices when available.
About this card
We track historical sold listings for this exact checklist entry (subset + card number + print run when available).
Use the sales table to see individual comps, and use the trend chart to understand pricing movement over time.
If this card has Best Offer accepted sales, we show the accepted price (not just the list price).
Graded Sales Summary
| Grading Company | Grade | Sales | Avg Sold | Low | High |
|---|---|---|---|---|---|
| RAW | 0.0 | 5 | $93.20 | $47.00 | $159.99 |
Price Trend
Sales History (Newest First)
| Image | Listing Type | Price | Grading | Seller | Sold Date | eBay |
|---|---|---|---|---|---|---|
|
Fixed price | $119.99 | RAW 0 | kdawgcards | 2025-12-21 | View |
|
Fixed price | $159.99 | RAW 0 | mn-sportscards | 2025-11-11 | View |
|
Auction | $66.00 | RAW 0 | kowalcards | 2025-06-22 | View |
|
Auction | $47.00 | RAW 0 | teamveit2011 | 2025-06-05 | View |
|
Auction | $73.00 | RAW 0 | steber_6773 | 2025-05-05 | View |
FAQ
This page tracks Adam Vinatieri / Ty Law — Flawless Dual Autographs Ruby #10 /15 from 2023 Panini Flawless. It summarizes verified eBay sold listings, grading breakdowns, and price trends for this specific checklist entry.
We’ve tracked 5 sale(s) for this card so far. As more listings are collected, the chart and grading breakdown will become more reliable.
Not currently for this card. If we detect Best Offer accepted outcomes in the future, we’ll show the list price struck through and the accepted price highlighted.
Based on tracked sales, this card has sold between $47.00 and $159.99. Condition and grading can move pricing a lot.
Use the subset page to browse the full player checklist for Flawless Dual Autographs Ruby in 2023 Panini Flawless. You can jump between players and compare history across the subset.