PackAnalyst retweeted
Same odds - luckiest users. Come rip at Gacha Sports 🙏
🏆 The rip sites ranked by average return
1. @gachasports · 113.0%
2. @GlydeGG · 112.3%
3. Magic Eden · 111.3%
4. @beezie · 109.6%
5. @RipStationxyz · 106.1%
Same rules for every site. That's the whole point.
PackAnalyst retweeted
I think the biggest problem every tcg gacha platform has to solve is actually pretty simple
Why should I trust the pack ?
Mystery products already have a reputation problem in traditional collecting
Fake pull rates, unclear inventory and the feeling that the house always knows something you do not
Put that experience online and trust becomes even more important
For me, a good looking animation means almost nothing if I cannot understand the odds behind it
This is one part of @nettyworthapp I have been paying attention to while testing the platform
Each pack shows its odds and NettyWorth says the random selection uses a provably fair system that cannot be changed after the fact
Third party sites are now also tracking public pull feeds across these platforms, which makes it possible to compare the published numbers with what actually comes out over time
That combination is where I think this market eventually has to go
Published odds
Verifiable outcomes
And enough public data for collectors to call bullsh*t if the two stop matching
The platforms that make transparency boring and normal will probably earn more trust than the ones with the craziest jackpot graphic
Would visible odds make you more comfortable using a mystery pack platform, or do you avoid the format regardless ?
🤝 Paid partnership
The most underrated number on a TCG gacha platform might be the buyback
The more digital ripping platforms I test, the less impressed I am by a giant jackpot sitting at the top of the page
There is another number I care about much more now
What happens when I do not want the card I pulled ?
That is where the buyback becomes interesting
A $500 grail is great when you hit it
But most openings are obviously not going to be the grail
So the real user experience is also determined by how much value you lose when you decide to exit an average pull
@nettyworthapp currently advertises buybacks of up to 95%, with the exact rate depending on the pack and item
That does not remove the risk of ripping
But it changes the economics of the experience because there is an immediate exit instead of needing to find a buyer yourself
For me, that is becoming one of the first things I compare across these platforms
Not just...
'How big can I win ?'
But...
'How expensive is it to change my mind ?'
I think that second question tells you much more about whether a marketplace was designed around collectors or purely around the next rip
Would you rather have slightly worse grail odds with a stronger buyback, or better upside with a much worse exit ?
PackAnalyst retweeted
.@TiltRips #1 by recorded openings in august
not surprised tbh
these are sampled public feeds across 15 sites. dont confuse it with a ranking by revenue or the whole ripping market
a few names from the table:
#1 @TiltRips: 1,715,551 openings
#2 @JupiterExchange Gacha: 236,579
#3 @Courtyard_io: 95,096
#4 @Collector_Crypt: 14,537
shoutout Jupiter Gacha too, they’re one of newer names here, but partnership with Collector Crypt already pushed them to #2 by pack openings in this sample, which is a strong rank, even if this table only measures openings and not overall platform quality
~77% of recorded openings went to Tilt. ahead of such giants as Courtyard, Collector Crypt and everyone else in this sample
@senortilt understands how to get people opening again. packs from $0.10, instant sellbacks, partners earning on each rip. and when you're counting openings, that cheap entry matters a lot
but only 22.5% of sampled openings returned cards worth at least the pack price, while @shinylabs has 49.9%
my guess is “at least i got a card” does a lot of work here. a $100 pack returning an $80 card is still a loss, but it might feel less like one
i'd love to see how often people hit open again after that, any way we can get that figure?
data: @PackAnalyst_io report, august 2026










