Sawsbuck
| ebay.it | n=44 | £29.47 | +33% |
| ebay.fr | n=5 | £28.86 | +30% |
| ebay.nl | n=2 | £27.65 | +24% |
| ebay.de | n=29 | £24.89 | +12% |
| ebay.es | n=30 | £24.79 | +12% |
| ebay.co.uk | n=51 | £24.11 | +9% |
| ebay.com | n=151 | £22.21 | — |
How is this value calculated?
Recency-weighted trimmed median of 89 NM sales (RAW; outliers trimmed against the median, newer sales weigh more, dynamic half-life).
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 100 | 39 d | £25.39 | 816.33 |
| eigene PSA8-Verkäufe ÷ 0.8797 | 3 | 4 mo | £25.75 | 4.57 |
| eigene PSA9-Verkäufe ÷ 1.3513 | 11 | 4 mo | £15.80 | 2.46 |
| eigene PSA10-Verkäufe ÷ 14.1153 | 4 | 2 mo | £22.35 | 0.25 |
| de roh NM × 1.1078 (Sprach-Faktor aus 97 Karten) | 19 | 15 d | £26.28 | 6.01 |
| it roh NM × 1.1528 (Sprach-Faktor aus 37 Karten) | 4 | 42 d | £21.32 | 2.72 |
| ko roh NM × 3.4672 (Sprach-Faktor aus 6 Karten) | 3 | 3 mo | £17.16 | 1.61 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 19 | 15 d | £23.72 | 155.1 |
| en roh NM × 0.9027 (Sprach-Faktor aus 97 Karten) | 100 | 39 d | £22.92 | 5.32 |
| it roh NM × 1.0372 (Sprach-Faktor aus 37 Karten) | 4 | 42 d | £19.18 | 3.2 |
| ko roh NM × 3.8005 (Sprach-Faktor aus 6 Karten) · Set +20% nachgeführt | 3 | 3 mo | £21.25 | 2.32 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 2 | 3 mo | £30.44 | 16.33 |
| de roh NM × 1.2489 (Sprach-Faktor aus 60 Karten) | 19 | 15 d | £29.63 | 4.07 |
| en roh NM × 1.0879 (Sprach-Faktor aus 60 Karten) | 100 | 39 d | £27.62 | 3.95 |
| it roh NM × 1.2416 (Sprach-Faktor aus 28 Karten) | 4 | 42 d | £22.96 | 1.51 |
Measured error for this era×language (backtest): ±25 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 4 | 42 d | £18.50 | 32.65 |
| de roh NM × 0.9641 (Sprach-Faktor aus 37 Karten) | 19 | 15 d | £22.88 | 3.24 |
| en roh NM × 0.8675 (Sprach-Faktor aus 37 Karten) | 100 | 39 d | £22.03 | 3.1 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#091 · IR
#006 · C
#166 · IR
#092 · IR
#14 · R
#16 · R
#16 · R
#017 · U
#12 · R
#007 · U
#172 · BWR
#173 · BWR
#166 · SIR
#169 · SIRFrequently asked questions
Is it worth grading Sawsbuck White Flare 092/86?
A PSA 10 currently sells for about £297.90, raw the card sits at £25.33 — 11.8× as much. Mathematically, submitting returns £297.90 on average, before fees and shipping. Rule of thumb: submit when the value at a realistic grade is at least double the raw value — which is the case here. Centering decides it: an off-centre card will not get a 10.
Auction or Buy It Now — which gets more for Sawsbuck White Flare 092/86?
Across 56 auctions the median was £22.20, across 206 fixed-price sales £24.78. Fixed price therefore fetched about 12 % more — for this card patience with a set price is the better route.
What will I get for Sawsbuck White Flare 092/86 if I want to sell quickly?
Half of all sales fell between £18.04 and £29.02, with a median of £24.11. 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 Sawsbuck White Flare 092/86 unrealistic?
The cheapest genuine sales were around £11.30. Offers well below £6.78 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 Sawsbuck White Flare 092/86 worth more?
From real sales: English £25.46 (243), German £24.05 (21), Italian £23.72 (12). The difference is small — language barely matters here.
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.