How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| ja roh NM × 1.5935 (Sprach-Faktor aus 17 Karten) | 5 | 41 d | $4.44 | 3.23 |
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
| 2026-10-05 | JA | RAW NM | JOLTEON 042/173 TAG ALL STARS POKEMON JAPANESE NEAR MINT · eBay | $1.99 |
| 2026-09-17 | JA | RAW NM | Pokemon Jolteon 042/173 Tag All Stars Japanese Near Mint · eBay | $3.21 |
| 2026-09-06 | JA | CGC 9 | 2019 Pokémon Japanese Jolteon Tag Team GX: Tag All Stars CGC · eBay | $3.13 |
| 2026-08-26 | JA | RAW NM | Tag All Stars Jolteon Japanese 042/173 NM Pokemon Tcg Card · eBay | $2.38 |
| 2026-08-23 | JA | RAW NM | Pokémon TCG JAPANESE Jolteon #042/173 SM12a: TAG TEAM GX: Ta · eBay | $2.72 |
| 2026-08-16 | JA | RAW UNKNOWN | 2019 Pokémon Tag Team GX Tag All Stars Jolteon 042/173 Japan · eBay | $5.81 |
| 2026-08-13 | JA | RAW NM | JAPANESE Pokemon Card Jolteon 042/173 SM12a Tag All Stars NM · eBay | $1.94 |
| 2026-08-05 | JA | RAW UNKNOWN | 2019 Pokemon Japanese SM12A Tag All Stars #042/173 Jolteon H · eBay | $1.93 |
| 2026-04-27 | JA | RAW NM | Jolteon (Mirror Holofoil) SM12a: TAG TEAM GX 042/173 NM Japa · eBay | $3.71 |
#135 · 
Frequently asked questions
What will I get for Jolteon Tag All Stars 042/173 if I want to sell quickly?
Half of all sales fell between $1.99 and $3.21, with a median of $2.72. 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 Jolteon Tag All Stars 042/173 unrealistic?
The cheapest genuine sales were around $1.94. Offers well below $1.16 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 Last Sold determine the market value?
Last Sold 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.