| ebay.fr | n=14 | $6.58 | +41% |
| ebay.es | n=30 | $5.56 | +19% |
| ebay.it | n=13 | $5.36 | +15% |
| ebay.nl | n=3 | $5.35 | +14% |
| ebay.de | n=63 | $4.91 | +5% |
| ebay.com | n=216 | $4.74 | +1% |
| ebay.co.uk | n=63 | $4.68 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 145 | 36 d | $5.02 | 1183.67 |
| eigene LP-Verkäufe ÷ 0.9579 | 14 | 2 mo | $4.87 | 6.54 |
| eigene PSA9-Verkäufe ÷ 2.1138 | 2 | 3 mo | $20.76 | 5.06 |
| eigene PSA10-Verkäufe ÷ 8.4276 | 6 | 3 mo | $24.25 | 0.28 |
| es roh NM × 0.8012 (Sprach-Faktor aus 35 Karten) | 7 | 3 mo | $2.83 | 10.19 |
| unknown roh NM × 0.7121 (Sprach-Faktor aus 38 Karten) | 5 | 3 mo | $1.82 | 4.83 |
| it roh NM × 0.8367 (Sprach-Faktor aus 25 Karten) | 4 | 3 mo | $7.00 | 4.37 |
| fr roh NM × 0.7808 (Sprach-Faktor aus 26 Karten) | 8 | 2 mo | $3.49 | 3.64 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 20 | 45 d | $5.28 | 163.27 |
| fr roh NM × 1.0041 (Sprach-Faktor aus 23 Karten) | 8 | 2 mo | $4.48 | 3.4 |
| it roh NM × 1.1079 (Sprach-Faktor aus 22 Karten) | 4 | 3 mo | $9.27 | 3.2 |
| unknown roh NM × 0.9778 (Sprach-Faktor aus 30 Karten) | 5 | 3 mo | $2.49 | 2.47 |
| en roh NM × 1.2386 (Sprach-Faktor aus 46 Karten) | 145 | 36 d | $6.21 | 1.65 |
| es roh NM × 0.9321 (Sprach-Faktor aus 27 Karten) | 7 | 3 mo | $3.30 | 1.34 |
Measured error for this era×language (backtest): ±22 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 8 | 2 mo | $4.46 | 65.31 |
| es roh NM × 1.1679 (Sprach-Faktor aus 15 Karten) | 7 | 3 mo | $4.12 | 4.05 |
| en roh NM × 1.283 (Sprach-Faktor aus 26 Karten) | 145 | 36 d | $6.44 | 3.36 |
| unknown roh NM × 0.985 (Sprach-Faktor aus 17 Karten) | 5 | 3 mo | $2.51 | 2.98 |
| it roh NM × 1.152 (Sprach-Faktor aus 14 Karten) | 4 | 3 mo | $9.63 | 2.93 |
| de roh NM × 0.9959 (Sprach-Faktor aus 23 Karten) | 20 | 45 d | $5.25 | 2.42 |
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 |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 4 | 3 mo | $8.36 | 32.65 |
| unknown roh NM × 0.8983 (Sprach-Faktor aus 20 Karten) | 5 | 3 mo | $2.29 | 8.17 |
| fr roh NM × 0.8701 (Sprach-Faktor aus 14 Karten) | 8 | 2 mo | $3.88 | 4.04 |
| en roh NM × 1.1952 (Sprach-Faktor aus 25 Karten) | 145 | 36 d | $5.99 | 3.5 |
| es roh NM × 0.9927 (Sprach-Faktor aus 17 Karten) | 7 | 3 mo | $3.51 | 3.18 |
| de roh NM × 0.9027 (Sprach-Faktor aus 22 Karten) | 20 | 45 d | $4.76 | 2.86 |
Measured error for this era×language (backtest): ±18 %
No PSA numbers for this print yet — in any language.
#290 · SIR
#192 · UR
#90 · R
#9 · HR
#14 · HR
#295 · MHR
#91 · HR
#248 · SEC
#3 · HR
#5 · HR
#2 · RH
#43 · RFrequently asked questions
Auction or Buy It Now — which gets more for Dragonite V Pokémon GO 049/78?
Across 35 auctions the median was $3.35, across 239 fixed-price sales $4.88. Fixed price therefore fetched about 46 % more — for this card patience with a set price is the better route.
What will I get for Dragonite V Pokémon GO 049/78 if I want to sell quickly?
Half of all sales fell between $3.91 and $5.72, with a median of $4.88. 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 Dragonite V Pokémon GO 049/78 unrealistic?
The cheapest genuine sales were around $3.15. Offers well below $1.89 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.
Is the English or the German Dragonite V Pokémon GO 049/78 worth more?
From real sales: Italian $6.33 (13), German $5.34 (30), English $4.82 (314). Italian fetches about 42 % more.
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.