Alolan Geodude
| ebay.de | n=15 | $2.33 | +19% |
| ebay.es | n=37 | $2.33 | +19% |
| ebay.com | n=50 | $1.96 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 35 | 2 mo | $2.24 | 285.71 |
| eigene LP-Verkäufe ÷ 0.9545 | 28 | 2 mo | $2.45 | 6.51 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.579 (Sprach-Faktor aus 18 Karten) | 35 | 2 mo | $1.30 | 1.09 |
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 × 1.0424 (Sprach-Faktor aus 5 Karten) | 35 | 2 mo | $2.34 | 1.33 |
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 × 0.9528 (Sprach-Faktor aus 6 Karten) | 35 | 2 mo | $2.14 | 4.29 |
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.
#36 · U
#37 · R
#77 · C
#43 · C
#110 · C
#38 · U
#53 · C
#56 · C
#34 · C
#44 · C
#68 · C
#66 · CFrequently asked questions
What will I get for Alolan Geodude Team Up 35/181 if I want to sell quickly?
Half of all sales fell between $1.95 and $2.50, with a median of $2.33. 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 Alolan Geodude Team Up 35/181 unrealistic?
The cheapest genuine sales were around $1.30. Offers well below $0.78 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.