Rip simulator · odds read Oct 8, 2026
GEMINT pack simulator
Open simulated GEMINT packs using the odds it publishes for its Pokémon packs, and see the RTP (return to player: what comes back for every dollar in) before and after a session. Values are GEMINT's own; nothing here is a real pull.
Pack
Expected RTP
Enter a pack price to see the expected RTP.
Ripping
The short version
RTP this session
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Net result
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Best pull
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Detailed breakdown
Spent
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Value pulled
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Expected value
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Cash after buyback
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By band: expected vs what you got
| Band | Odds | Expected pulls | Your pulls | Value pulled |
|---|
Every pull, best first
How 1,000 sessions like this spread out
Median RTP
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Typical range
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Sessions in profit
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Average RTP
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The odds behind this
Transcribed from Pokemon Quartz Basic Pack's page on Oct 8, 2026. Bands are dollar ranges of card value as GEMINT prices its cards; its terms define FMV as the fair market value GEMINT assigns using its own pricing methodology (recent sales data, market listings, condition, grade and other factors), set in its sole discretion and subject to change, and the sellback price is based on that FMV less any disclosed fee.
| Band | Value | Chance | Average value | Share of EV |
|---|---|---|---|---|
| Tier S | $9.00 to $160 | 1% | $34 | 9% |
| Tier A | $6.00 to $9.00 | 3% | $6.87 | 6% |
| Tier B | $4.00 to $6.00 | 36% | $4.58 | 44% |
| Tier C | $2.00 to $4.00 | 60% | $2.55 | 41% |
Source: Pokemon Quartz Basic Pack on GEMINT. Each pack page has a 'Pull Rates' accordion captioned 'Pull rates by card value. Every pack contains one card.' listing one box per tier with a price range and an odds label. The public get_pack_details endpoint returns the same data as tiers (S, A, B, C, D, E) each with weight (a percentage; weights sum to 100 for every pack), minPrice and maxPrice in 1e18 USDT units (converted to dollars here), the display cards in that tier, and a base_ev number close to the pack price, which we recorded as statedEv. The terms say Pull Rates are 'the probabilities, published on the Site for each Pack' and that the published set shows 'which Cards the Pack can contain and how likely each tier of Card is'. Prices are denominated in USDT (price_token USDT); recorded as USD. All 7 active packs on 2026-10-08 are Pokemon; the packs page also lists Soccer, One Piece and Baseball tabs (the last two marked Coming Soon) but the public packs list returned only Pokemon packs. Tier ranges touch at the boundary (e.g. $4 to $6 then $6 to $9); the 30th Celebration pack's C tier (2.6%) is published below its B tier (3%). Display card market prices per item are available from the same endpoint but were not captured. Prices and values are in USDT, shown here as dollars. The stated average per pack is GEMINT's own base_ev figure from the same public endpoint.
How the simulation works
RTP is return to player: value pulled divided by money spent. Each simulated pack draws one value band using the probabilities GEMINT publishes, then a value inside that band. Platforms publish the bands but not where values fall inside them, and that gap matters: a $25 to $200 band averages $70 if values spread log-evenly, $112 if evenly, and less if most cards sit near $25. So the expected RTP is shown as a range from bottom-heavy to evenly spread, and the simulation draws log-evenly in between. GEMINT prints its own average value per pack, so the draws are calibrated until the model's average matches that figure. Real pulls come from a finite card pool and the platform's pricing can move, so treat every number as an estimate at GEMINT's own valuations, which may differ from what the same card sells for elsewhere.
GEMINT publishes no buyback rate, so the cash you'd get for a pull is unknown. Shipping fees and taxes aren't modelled.
18+. Pack opening is chance-based spending with real money. Whatever the odds imply at the platform's own values, cash in hand is lower after the buyback haircut, fees and the gap to market prices. Only spend what you can afford to lose. See the GEMINT listing, other simulators, our guides on EV and buyback and the methodology.