Professor Elm’s Lecture
Market price
€7,99
Price history · RAW
2026-05-13 · €5,28
€8,67 · 2026-06-10
How is this value calculated?
Ladder estimate · English
· ~€1,87
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 30 | 28 d | €1,85 | 244.9 |
| eigene LP-Verkäufe ÷ 0.9027 | 17 | 23 d | €2,31 | 13.92 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,87 · Σ g = 258.82
Measured error for this era×language (backtest): ±16 %
Ladder estimate · Deutsch
· ~€1,76
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9495 (Sprach-Faktor aus 149 Karten) | 30 | 28 d | €1,76 | 3.43 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,76 · Σ g = 3.43
Measured error for this era×language (backtest): ±34 %
Gate not green — shown only here, never as the price.
Ladder estimate · Français
· ~€1,95
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0516 (Sprach-Faktor aus 5 Karten) | 30 | 28 d | €1,95 | 4.72 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,95 · Σ g = 4.72
Measured error for this era×language (backtest): ±9 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€2,57
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.3884 (Sprach-Faktor aus 8 Karten) | 30 | 28 d | €2,57 | 2.14 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,57 · Σ g = 2.14
Measured error for this era×language (backtest): ±17 %
Gate not green — shown only here, never as the price.
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 2
| 2026-06-10 | EN | RAW UNKNOWN | Professor Elm's Lecture 188/214 Lost Thunder League 3rd Plac | €8,67 |
| 2026-05-13 | EN | RAW NM | Pokemon Trainer Professor Elm’s Lecture 4th Place League Pro | €5,28 |
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.