Weiß Schwarz / Booster Display

The Quintessential Quintuplets Movie Booster Display EV Calculator

Estimate this physical product's no-chase expected value with a product-, region-, language-, and printing-specific model.

Compare the modeled EV range with your entered product cost to review estimated ROI. This planning metric is not a guaranteed return.

Simulation order: complete product contents are drawn first. Included-pool controls and optional Sift are applied only after the draw, and filtered outcomes are never replaced or backfilled.

Release
June 2, 2023
Market scope
English / English North America / English North American product; exact factory printing and wave unreported
Default singles price
TCGplayer Low
Model file
/data-static/weiss-schwarz/bp-5hy3/models/booster-display-empirical-no-chase.json

Publisher recipe + model assumption

Evidence

This calculator is based on Publisher recipe + model assumption reviewed July 24, 2026.

Sources

Limitations

  • Bushiroad publishes the physical recipe: 9 cards per pack, 16 packs per display, and 18 displays per carton.
  • Bushiroad lists 100 normal card types and 100 parallel card types. Type counts do not establish pull probabilities, replacement rules, per-display guarantees, or within-pool card weights.
  • The reviewed publisher territory includes the United States and Canada. This record does not generalize rates to other English territories.
  • Exact first-release pack and display identities; TCGCSV publishes an empty abbreviation.
  • Modeling policy approved 2026-07-24: every supported ordinary card in the same slot, rarity, treatment, and finish pool receives one equal positive selection weight. This is a transparent modeling assumption where the publisher or empirical sample gives pool odds but not card-level sheet weights.
  • No-chase policy approved 2026-07-24: signed, serialized, hot-stamped, premium, special, secret-plus, parallel, promotional, and equivalent chase cards and branches do not exist in this model. The exact physical card count is drawn only from the supported ordinary pool; there is no simulated chase hit, zero-EV occupied outcome, redraw, backfill, or renormalization.
  • Simulation ordering is draw the complete disclosed no-chase product first, record that draw, and only then apply Sift or another user filter. Sift never changes or backfills the completed modeled draw.
  • Best-evidence Weiss Schwarz baseline approved 2026-07-24: the publisher's exact cards-per-pack and packs-per-display are modeled as ordinary draws from the exact English TCGCSV normal-card pool. This is a transparent assumption-based estimate, not a claim about factory rarity collation, replacement rules, display guarantees, or pack correlation.
  • When multiple ordinary physical variants share one published card number, their positive weights divide one card-number weight equally so variants do not inflate the publisher's normal-card type count.

Local price snapshots

Pricing

TCGplayer Low is the default singles price for the first calculation and remains selected until changed. Resetting the price source returns to TCGplayer Low.

Measured row coverage
100.0%
Measured modeled mass
100.0%
Coverage observed
July 24, 2026
Low-price source
Available Via Tcgcsv

No catalog-level price fallbacks are recorded. Runtime gaps are disclosed below when data loads.

TCGplayer Low coverage will be checked against the loaded local price snapshot.

No-chase model

Chase Exclusions

Excluded chase families are removed from the model entirely. They are never retained as zero-EV occupied outcomes. Each affected physical position is instead filled from its disclosed supported ordinary pool before the product draw is completed.

  • Alternate-art, parallel, and promotional cards
  • Cards outside the supported ordinary recipe
  • Unpriced or incomplete-metadata special cards

Product snapshot

Modeled Product Structure

Cards per pack
9
Packs per booster display
16
Booster Displays per case
18
Draw order
Complete draw, then filters

All modeled slots are resolved before pool toggles or Sift score the opened product. This ordering prevents replacement draws from inflating EV.

Included poolsChoose which already-drawn pools count toward EV.

Calculator Settings

Selling Fees

Price and Sift

EV RangeMonte CarloAdvanced

Purchase EV

Booster Display EV

Per-product Low, Mid, and High expected value from one recalculated simulation.
MetricLowMidHigh
Gross EV$0.00$0.00$0.00
Seller fees$0.00$0.00$0.00
Net after fees$0.00$0.00$0.00
Profit after purchase$0.00$0.00$0.00
Break-even price (Mid)$0.00

Purchase EV & Estimated ROI

Purchase Low, Mid, and High EV and estimated ROI values from the same recalculated simulation.
MetricLowMidHigh
Gross EV$0.00$0.00$0.00
Total fees$0.00$0.00$0.00
Net after fees$0.00$0.00$0.00
Profit after expenses$0.00$0.00$0.00
Modeled ROI vs entered cost------

booster displays: 0 · Price/booster display: $0.00 · Total cost: $0.00

How is estimated ROI calculated? It equals modeled profit divided by the entered product cost. Modeled profit subtracts that product cost, selected seller fees, and any entered order or shipping costs from the modeled resale value. It is not a guaranteed return; pull variance, market price changes, taxes, and other unmodeled selling costs can change actual resale results.

Sealed Price / EV

Marketplace rows retain marketplace-only labels and use each marketplace's low sealed-product price.

Low sealed marketplace price compared with the current Mid break-even price.
MarketplaceProduct priceBreak-even priceP/EBasis

Simulation Results

Low, Mid, and High are all derived from this same recalculated result set.

Confidence band: --

Expected contribution

Card Value Breakdown

Modeled card rows, current values, fees, and expected products per copy.
NameSetCard #RarityTreatmentValueSeller feesProducts / copy
Expected cards/booster display after toggles and Sift0.00
Preparing calculator...

The simulator draws the full physical product first, then applies disabled pools and optional Sift. Filtered outcomes occupy their actual slots and are never backfilled.