| ebay.es | n=13 | £2.66 | +38% |
| ebay.com | n=5 | £1.98 | +3% |
| ebay.de | n=3 | £1.93 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 7 | 2 mo | £2.74 | 57.14 |
| eigene LP-Verkäufe ÷ 0.9369 | 5 | 2 mo | £1.46 | 5.06 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.6607 (Sprach-Faktor aus 16 Karten) | 7 | 2 mo | £1.81 | 0.98 |
Measured error for this era×language (backtest): ±34 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9024 (Sprach-Faktor aus 6 Karten) | 7 | 2 mo | £2.47 | 2.26 |
Measured error for this era×language (backtest): ±9 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9035 (Sprach-Faktor aus 6 Karten) | 7 | 2 mo | £2.47 | 0.63 |
Measured error for this era×language (backtest): ±17 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#247 · SIR
#153 · SEC
#166 · SEC
#135 · UR
#51 · VMAX
#222 · UR
#147 · UR
#50 · V
#47 · UR
#SM50 · R
#69 · R
#SM33 · R
#72 · VFrequently asked questions
What will I get for Tapu Koko ◇ Team Up 51/181 if I want to sell quickly?
Half of all sales fell between £2.07 and £2.66, with a median of £2.50. 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 Tapu Koko ◇ Team Up 51/181 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.