Cresselia
How is this value calculated?
Recency-weighted trimmed median of 44 NM sales (RAW; outliers trimmed against the median, newer sales weigh more, dynamic half-life).
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 34 | 4 d | £0.77 | 277.55 |
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 × 1.0273 (Sprach-Faktor aus 69 Karten) | 34 | 4 d | £0.80 | 2.71 |
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 × 1.2273 (Sprach-Faktor aus 50 Karten) | 34 | 4 d | £0.95 | 4.07 |
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8033 (Sprach-Faktor aus 14 Karten) | 34 | 4 d | £0.62 | 7.97 |
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.
#99 · UR
#100 · LEG
#143 · UR
#103 · LV.X
#67 · R
#2 · RH
#071 · IR
#228 · SEC
#DP51 · C
#2 · RH
#SWSH114
#59 · RFrequently asked questions
What will I get for Cresselia 30th Celebration 074/128 if I want to sell quickly?
Half of all sales fell between £0.84 and £1.46, with a median of £1.11. 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 Cresselia 30th Celebration 074/128 unrealistic?
The cheapest genuine sales were around £0.74. Offers well below £0.44 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.