Methodology · Model v0.1
Every valuation is a falsifiable research note, not a price feed. This page is the full method behind the number — the pipeline, the two-axis scoring, the factor weights, and the permanent lifecycle each forecast resolves through. It is deliberately more detail than any single note shows.
The current fair value is always anchored to real, dated sales — weighted by how reliable, well-sourced, and recent they are. If there is no defensible comp, we publish no number. A dollar figure with no sale behind it is a guess dressed as data, and the whole point of the record is that we do not do that.
Each note is produced by the same repeatable steps, so two cards are scored the same way:
1 · Identify
Resolve the exact variant — this serialized prize, not the base retail print that shares its card number. Different objects, different markets.
2 · Weigh the evidence
Score each real sale by reliability, provenance, and recency. A dated eBay-sold comp counts; a hearsay asking price does not.
3 · Anchor to market
Set the current fair value from the weighted comps — never an invented number. A figure with no comp behind it is a guess dressed as data.
4 · Read the cohort
Regress value on print-run across the winner-card cohort. The residual says whether this card is rich, fair, or cheap versus its scarcity peers.
5 · Forecast the band
Project a 6–24 month range, deterministically widened by how thin and volatile the market is — plus the pre-committed triggers that would move it.
6 · Put it on the record
Freeze the note with a horizon. It resolves later against a real sale to a terminal verdict — and is never edited.
The fair value tells you what the card is worth today. The cohort read tells you whether that price is reasonable: we fit value against print-run across the serialized winner-card cohort, and measure how far this card sits above or below that scarcity line. A card can be a genuine grail and still read overvalued if its price leans on character demand rather than scarcity — that is a caution, not a sell signal.
Desirability is scored on two independent axes so competitive stats never drag down a pure collectible. Both are transparent weighted summaries on a 0–100 scale — they explain why a card is wanted; they are never added to, or confused with, the dollar fair value.
The two combine into a profile label: Pure Collectible (high collector), Meta Staple (high competitive), Crown Jewel (both high), or Niche (neither). Thresholds: collector ≥ 65 and competitive ≥ 45.
Each axis score is a weighted average of the factors below, normalised to 0–10 and shown as 0–100. Weights are founder priors for model v0.1 — they will be recalibrated from observed error once real sales land against these forecasts.
Collector axis · 10 factors · total weight 21
Demand for the character (printing-frequency proxy + anchored tier: top-3 chase 9-10 / mid 6-7 / niche 3-4)
Strength of the corroborated winner-card cohort backing the read
Distribution: serialized top-cut / championship prize, 'NOT FOR SALE' = 9-10
Distinct serialized/alt-art treatment vs a base reprint
Chase desirability among collectors (sale frequency + interest)
Realised premium history of comparable serialized prizes
Substitution pressure: how many other prints of the card exist (fewer = higher)
Scarcity by print run vs the ~50k-100k base universe: /500 = 10, /1-2k = 9, /2.5k = 8, base = 1-2
Prestige of the event/campaign that awarded it (Championship > regional > giveaway)
Region-gating as a minor scarcity contributor (partly overlaps print scarcity)
| Factor | Weight | What it measures |
|---|---|---|
| Character popularity | ×3 | Demand for the character (printing-frequency proxy + anchored tier: top-3 chase 9-10 / mid 6-7 / niche 3-4) |
| Comparable Winner cards | ×3 | Strength of the corroborated winner-card cohort backing the read |
| Tournament exclusivity | ×3 | Distribution: serialized top-cut / championship prize, 'NOT FOR SALE' = 9-10 |
| Artwork uniqueness | ×2.5 | Distinct serialized/alt-art treatment vs a base reprint |
| Collector demand | ×2 | Chase desirability among collectors (sale frequency + interest) |
| Winner-card history | ×2 | Realised premium history of comparable serialized prizes |
| Existing versions | ×1.5 | Substitution pressure: how many other prints of the card exist (fewer = higher) |
| Estimated print availability | ×1.5 | Scarcity by print run vs the ~50k-100k base universe: /500 = 10, /1-2k = 9, /2.5k = 8, base = 1-2 |
| Set importance | ×1.5 | Prestige of the event/campaign that awarded it (Championship > regional > giveaway) |
| Regional availability | ×1 | Region-gating as a minor scarcity contributor (partly overlaps print scarcity) |
Competitive axis · 2 factors · total weight 2
Decklist appearances of THIS card — ~1 for a collectible not sleeved in play
Recency-weighted competitive relevance / current legality of THIS card
| Factor | Weight | What it measures |
|---|---|---|
| Tournament playability | ×1 | Decklist appearances of THIS card — ~1 for a collectible not sleeved in play |
| Meta relevance | ×1 | Recency-weighted competitive relevance / current legality of THIS card |
Confidence is not a vibe — it is derived from how much real comp data backs the reference class. More corroborating sales, more confidence:
Thin markets get honestly wide forward bands. A confident-looking narrow range on two sales would be the dishonest choice.
Status is deterministic, never an editorial judgement: it is computed from the frozen forecast, its pre-committed horizon, and real sales as they land. The horizon is set at publish and never extended — so we cannot quietly move the goalposts.
Independent analysis of physical collectibles. Numbers are model forecasts, not live market quotes, and not financial advice. We disclose held positions on every call and never trade against a published note.