| ebay.es | n=16 | $2.33 | +51% |
| ebay.com | n=9 | $1.55 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 6 | 3 mo | $2.22 | 48.98 |
| eigene LP-Verkäufe ÷ 0.9414 | 3 | 2 mo | $1.28 | 5.3 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8978 (Sprach-Faktor aus 15 Karten) | 6 | 3 mo | $1.99 | 1.43 |
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 × 1.1893 (Sprach-Faktor aus 36 Karten) | 6 | 3 mo | $2.64 | 3.67 |
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 × 0.4331 (Sprach-Faktor aus 5 Karten) | 6 | 3 mo | $0.97 | 1.4 |
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.
#174 · UR
#56 · R
#170 · UR
#165 · UR
#161 · UR
#164 · UR
#186 · SEC
#53 · UR
#181 · UR
#171 · UR
#162 · UR
#160 · UR
#191 · SEC
#190 · SECFrequently asked questions
What will I get for Erika’s Hospitality Team Up 140/181 if I want to sell quickly?
Half of all sales fell between $1.87 and $2.57, with a median of $2.29. 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 Erika’s Hospitality Team Up 140/181 unrealistic?
The cheapest genuine sales were around $1.03. Offers well below $0.62 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.