Browse sets
Trumbeak
Pitch Black

Trumbeak

Pitch Black · 067/84 ·Common
Market price
$1.03
Price history · RAW
2026-07-18 · $0.98 $1.76 · 2026-07-27
Price per print
🇬🇧 Normal · EN n=6 $1.03
How is this value calculated?
Ladder estimate · English · ~$1.03 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe5 2 mo $1.0340.82
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.03 · Σ g = 40.82

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

Ladder estimate · Deutsch · ~$0.91 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.0451 (Sprach-Faktor aus 50 Karten) · Set -24% nachgeführt5 2 mo $0.913.75
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $0.91 · Σ g = 3.75

Measured error for this era×language (backtest): ±17 %

Ladder estimate · Français · ~$1.31 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.649 (Sprach-Faktor aus 32 Karten) · Set -35% nachgeführt5 2 mo $1.312.01
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.31 · Σ g = 2.01

Measured error for this era×language (backtest): ±20 %

Ladder estimate · Italiano · ~$1.08 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.0399 (Sprach-Faktor aus 213 Karten)5 2 mo $1.084.66
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.08 · Σ g = 4.66

Measured error for this era×language (backtest): ±15 %

PSA Population

No PSA numbers for this print yet — in any language.

Recent sales · 6
2026-07-27 EN RAW NM Pokemon TCG ~ Trumbeak 067/084 ~ Common English Nea · eBay $1.03
2026-07-25 EN RAW UNKNOWN Trumbeak ME05: Pitch Black 067/084 Common · eBay $1.56
2026-07-24 EN RAW NM Trumbeak 067/084 Common ME05: Pitch Black NM · eBay $1.03
2026-07-24 EN RAW NM TRUMBEAK 067/084 COMMON PITCH BLACK POKEMON NM/M MIKI KUDO · eBay $1.47
2026-07-21 EN RAW NM Trumbeak 067/084 ~ Common English Near Mint · eBay $0.98
2026-07-18 EN RAW NM Trumbeak - 067/084 - Pitch Black PBL - Pokemon NM/M $1.76
You might also like
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.