| ebay.de | n=12 | £2.59 | +18% |
| ebay.com | n=75 | £2.20 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 37 | 44 d | £3.53 | 302.04 |
| eigene LP-Verkäufe ÷ 0.8553 | 29 | 47 d | £2.59 | 5.79 |
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0627 (Sprach-Faktor aus 16 Karten) | 37 | 44 d | £3.75 | 2.59 |
Measured error for this era×language (backtest): ±28 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.7224 (Sprach-Faktor aus 8 Karten) | 37 | 44 d | £2.55 | 0.26 |
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 2.3186 (Sprach-Faktor aus 8 Karten) | 37 | 44 d | £8.18 | 2.02 |
Measured error for this era×language (backtest): ±169 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#206 · SIR
#158 · SIR
#216 · HR
#191 · UR
#132 · HR
#081 · RR
#RC28 · UR
#RC32 · UR
#RC29 · UR
#RC31 · UR
#12 · UR
#RC6 · UR
#RC30 · URFrequently asked questions
What will I get for Floral Crown Generations RC26/83 if I want to sell quickly?
Half of all sales fell between £1.82 and £2.66, with a median of £2.23. Selling fast lands you nearer the lower end; with patience, good photos and a complete title the upper end is achievable.
Below which price is an offer for Floral Crown Generations RC26/83 unrealistic?
The cheapest genuine sales were around £1.48. Offers well below £0.89 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.
How does lastsold determine the market value?
lastsold uses only real sales — eBay plus auction houses like Goldin & Fanatics — recent sales count more (recency weighting), outliers and fakes are removed. It's not an estimate but actual sold prices, separated by condition, language and grading.