Professor's Research
Market price
€41,71
Price history · RAW
2026-05-03 · €0,14
€46,50 · 2026-06-08
How is this value calculated?
Ladder estimate · English
· ~€0,93
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 10 | 22 d | €0,93 | 81.63 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,93 · Σ g = 81.63
Measured error for this era×language (backtest): ±16 %
Ladder estimate · Deutsch
· ~€4,50
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +23% nachgeführt | 2 | 52 d | €8,20 | 16.33 |
| en roh NM × 0.8185 (Sprach-Faktor aus 71 Karten) | 10 | 22 d | €0,76 | 5.49 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €4,50 · Σ g = 21.82
Measured error for this era×language (backtest): ±19 %
Ladder estimate · Français
· ~€1,04
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1261 (Sprach-Faktor aus 61 Karten) | 10 | 22 d | €1,04 | 8.34 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,04 · Σ g = 8.34
Measured error for this era×language (backtest): ±25 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€1,06
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1466 (Sprach-Faktor aus 55 Karten) | 10 | 22 d | €1,06 | 10.01 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,06 · Σ g = 10.01
Measured error for this era×language (backtest): ±17 %
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 3
| 2026-06-08 | EN | RAW UNKNOWN | Professor's Research - (2023) 190/198 Professor Program Reve | €46,50 |
| 2026-05-05 | UNKNOWN | RAW NM | Professor's Research - 190/198 (2023) [Professor Program Pro | €22,57 |
| 2026-05-03 | EN | RAW UNKNOWN | Professor Program Promos #190/198 Professor's Research | €0,14 |
FAQ
Frequently asked questions
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.
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