Browse sets
Mantine
Steam Siege

Mantine

Steam Siege · 27/114 ·Common
Market price
£1.56
Price history · RAW
2026-04-02 · £0.07 £2.53 · 2026-07-23
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.de n=2 £1.68 +74%
ebay.es n=10 £1.56 +61%
ebay.co.uk n=2 £1.00 +4%
ebay.com n=18 £0.97 —
Price per print
🇬🇧 Normal · EN n=20 £1.56
How is this value calculated?
Ladder estimate · English · ~£1.56 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe10 2 mo £1.5481.63
eigene LP-Verkäufe ÷ 0.91947 2 mo £1.894.73
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.56 · Σ g = 86.36

Measured error for this era×language (backtest): ±19 %

Ladder estimate · Deutsch · ~£2.24 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.4515 (Sprach-Faktor aus 33 Karten)10 2 mo £2.242.41
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £2.24 · Σ g = 2.41

Measured error for this era×language (backtest): ±43 %

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

Ladder estimate · Français · ~£1.90 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.2403 (Sprach-Faktor aus 19 Karten)10 2 mo £1.902.31
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.90 · Σ g = 2.31

Measured error for this era×language (backtest): ±12 %

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

Ladder estimate · Italiano · ~£1.68 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.0872 (Sprach-Faktor aus 35 Karten)10 2 mo £1.6812.2
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.68 · Σ g = 12.2

Measured error for this era×language (backtest): ±14 %

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

PSA Population EN Σ 18
PSA 10
2 11%
PSA 9
1 6%
PSA 8
7 39%
PSA ≤7
8 44%
PSA + CGC · as of 2026-09-28
Recent sales · 32
2026-07-23 EN RAW LP Mantine 27/114 Common Steam Siege Pokemon Lightly Played · eBay £1.73
2026-07-22 EN RAW LP Mantine 27/114 Common XY - Steam Siege Pokemon Lightly Playe · eBay £1.77
2026-07-21 EN RAW LP Mantine 27/114 Common Steam Siege Pokemon Lightly Played · eBay £1.57
2026-07-18 EN RAW NM Mantine 27/114 Common Steam Siege Pokemon Near Mint · eBay £1.59
2026-07-12 EN RAW UNKNOWN Mantine Common XY - Steam Siege 27/114 HP · eBay £1.33
2026-07-11 EN RAW NM Mantine 27/114 Common Steam Siege Pokemon Near Mint · eBay £1.47
2026-07-06 EN RAW LP Mantine 27/114 Common Steam Siege Pokemon Lightly Played · eBay £1.86
2026-06-28 EN RAW UNKNOWN Mantine - 27/114 - XY Steam Siege Pokemon 2016 · eBay £1.04
2026-06-26 EN RAW UNKNOWN XY - Steam Siege #27/114 Mantine · eBay £1.31
2026-06-24 EN RAW LP Mantine Common XY - Steam Siege 27/114 LP · eBay £0.74
2026-06-20 EN RAW UNKNOWN Steam Siege #27/114 Mantine · eBay £0.73
2026-06-15 EN RAW NM Mantine Common XY - Steam Siege 27/114 NM £0.72
2026-06-13 EN RAW LP Mantine 27/114 Pokemon Card Steam Siege Common 100 HP Lightl £0.73
2026-06-10 EN RAW MP MANTINE COMMON 27/114 MP POKEMON £1.47
2026-06-09 EN RAW NM Mantine 27/114 Common Pokémon Card Steam Siege Series NM £0.30
2026-06-08 EN RAW UNKNOWN Mantine 27/114 Common | Steam Siege | Pokemon Card £0.98
2026-06-05 EN RAW UNKNOWN Mantine 27/114 - XY Steam Siege Pokemon Holo Foil Raro ¡Boni £1.56
2026-06-04 EN RAW UNKNOWN Mantine 27/114 Common Base 2016 Pokemon XY - Steam Seige £0.95
2026-05-21 EN RAW NM ✨Mantine 27/114 - Normal - XY - Steam Siege - NM £2.13
2026-05-13 EN RAW NM Mantine - 27/114 - Common - Near Mint £1.09
You might also like
FAQ

Frequently asked questions

What will I get for Mantine Steam Siege 27/114 if I want to sell quickly?

Half of all sales fell between £0.74 and £1.59, with a median of £1.31. 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 Mantine Steam Siege 27/114 unrealistic?

The cheapest genuine sales were around £0.30. Offers well below £0.18 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.

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.