2022 Panini Flawless — Flawless Dual Autographs /20 — Desmond Ridder / Drake London NFL
Price history for Desmond Ridder / Drake London — Flawless Dual Autographs #6|FDAF|RGMDR /20 from 2022 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 | 4 | $52.19 | $31.00 | $80.00 |
Price Trend
Sales History (Newest First)
| Image | Listing Type | Price | Grading | Seller | Sold Date | eBay |
|---|---|---|---|---|---|---|
|
Fixed price |
$149.99
$80.00
Best Offer Accepted
|
RAW 0 | micho-96 | 2025-08-10 | View |
|
Auction | $31.00 | RAW 0 | josephr9775 | 2025-07-25 | View |
|
Fixed price |
$55.00
$46.75
Best Offer Accepted
|
RAW 0 | boatsanhoes69 | 2025-06-08 | View |
|
Auction | $51.00 | RAW 0 | ironlioncollectibles | 2024-10-11 | View |
FAQ
This page tracks Desmond Ridder / Drake London — Flawless Dual Autographs #6|FDAF|RGMDR /20 from 2022 Panini Flawless. It summarizes verified eBay sold listings, grading breakdowns, and price trends for this specific checklist entry.
We’ve tracked 4 sale(s) for this card so far. As more listings are collected, the chart and grading breakdown will become more reliable.
Yes. We detected Best Offer accepted outcomes on 2 of the tracked sale(s). Those show the list price struck through and the accepted price highlighted.
Based on tracked sales, this card has sold between $31.00 and $80.00. Condition and grading can move pricing a lot.
Use the subset page to browse the full player checklist for Flawless Dual Autographs in 2022 Panini Flawless. You can jump between players and compare history across the subset.