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Tapu Lele · Staff Stamp
SM Black Star Promos

Tapu Lele · Staff Stamp

SM Black Star Promos · SM152/248 ·Rare
Origin: Prerelease / Build & Battle · Tournament / league play · Lost Thunder ≈
Market price
£30.97
based on 2 sales
Price history · RAW
2026-06-05 · £26.67 £30.97 · 2026-07-04
How is this value calculated?
Ladder estimate · English · ~£5.23 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe5 2 mo £5.2340.82
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £5.23 · Σ g = 40.82

Measured error for this era×language (backtest): ±16 %

Ladder estimate · Deutsch · ~£4.59 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.9534 (Sprach-Faktor aus 46 Karten) · Set -12% nachgeführt5 2 mo £4.591.92
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £4.59 · Σ g = 1.92

Measured error for this era×language (backtest): ±34 %

Gate not green — shown only here, never as the price.

Ladder estimate · Français · ~£4.76 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.9102 (Sprach-Faktor aus 15 Karten)5 2 mo £4.760.24
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £4.76 · Σ g = 0.24

Measured error for this era×language (backtest): ±9 %

Gate not green — shown only here, never as the price.

Ladder estimate · Italiano · ~£5.86 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.12 (Sprach-Faktor aus 42 Karten)5 2 mo £5.862.07
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £5.86 · Σ g = 2.07

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 · 3
2026-07-04 EN RAW UNKNOWN 2018 POKEMON SM BLACK STAR LOST THUNDER PRERELEASE STAFF PRO · eBay £26.67
2026-06-05 EN RAW UNKNOWN Tapu Lele Lost Thunder Prerelease Staff Stamped Sun Moon TCG · eBay £30.97
2026-04-12 EN PSA 5021 CGC 8.5 STAFF Tapu Lele Prerelease SM152 Lost Thunder Promo £36.19
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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.