| ebay.de | n=2 | £1.65 | +28% |
| ebay.es | n=3 | £1.56 | +20% |
| ebay.com | n=5 | £1.29 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 3 mo | £1.12 | 24.49 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.7397 (Sprach-Faktor aus 17 Karten) | 3 | 3 mo | £0.82 | 1.63 |
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 |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 2 | 27 d | £1.61 | 16.33 |
| en roh NM × 1.1893 (Sprach-Faktor aus 36 Karten) | 3 | 3 mo | £1.34 | 3.41 |
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 × 0.9724 (Sprach-Faktor aus 8 Karten) | 3 | 3 mo | £1.09 | 1.41 |
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.
#123 · C
#124 · U
#95 · HR
#154 · UR
#89 · HR
#153 · UR
#1 · HR
#7 · HR
#2 · HR
#1 · HR
#94 · UR
#1 · RH
#1 · RH
#93 · URFrequently asked questions
What will I get for Aggron Unbroken Bonds 125/214 if I want to sell quickly?
Half of all sales fell between £1.20 and £1.62, with a median of £1.56. 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 Aggron Unbroken Bonds 125/214 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.