Uploaded May 2025 | Updated September 2026, 45 minutes ago
New set is upon us and we have an impossible task of figuring out which cards are grerat and which are traps without the advantage of having them ever in our hands. Data won't solve that problem but it can definitely help, by looking at the general trends in card power across mana values, colors, etc. Also we can look into the amazing #P0P1 initiative from MTG_DS, where hundreds of people put their bets on the best cards in a set before its release (which mtg_ds kindly shared with me).
This let me look at the wisdom of the crowd - what cards were widely liked but turned out to be duds, which cards nobody saw coming. Why some cards fly under the radar, while some lure us into the trap?
Here is the example fo P0P1 results from TMD for reference - make sure to give MTG_DS a follow - in the end it stands for Magic Data Science, you should be interested!
https://x.com/mtg_ds/status/1920641850546815335
If you are interested in getting to know me better - I have a discord now. Join to chat about data, limited and see my futile attempts to make food that looks as good as it tasted. Also - cat and dog pictures.
discord.gg/Sk5HWdgKu4
If you are interested in coaching - ping me a message. Here. On Discord. On Twitter. You can find my socials on
https://linktr.ee/sierkovitz
This podcast is sponsored by mtgazone.com - get your reading fix from the best and brightest Magic writers in the business.
If you like the videos I put out, consider becoming a patron on
patreon.com/sierkovitz
to get extra access, perks and the good feeling of supporting my work.
I do understand Patreon is a commitment, if you can't commit, but still would like to help me - like, sub, comment, share.
You can get the BulkBox at bulkbox.co.uk/store if you are in the UK. Remember to use SIERKO10 code for a 10% discount!
If you are outside of UK, you can find your local distributor on the BulkBox website.
New set is upon us and we have an impossible task of figuring out which cards are grerat and which are traps without the advantage of having them ever in our hands. Data won't solve that problem but it can definitely help, by looking at the general trends in card power across mana values, colors, etc. Also we can look into the amazing #P0P1 initiative from MTG_DS, where hundreds of people put their bets on the best cards in a set before its release (which mtg_ds kindly shared with me).
This let me look at the wisdom of the crowd - what cards were widely liked but turned out to be duds, which cards nobody saw coming. Why some cards fly under the radar, while some lure us into the trap?
Here is the example fo P0P1 results from TMD for reference - make sure to give MTG_DS a follow - in the end it stands for Magic Data Science, you should be interested!
https://x.com/mtg_ds/status/1920641850546815335
If you are interested in getting to know me better - I have a discord now. Join to chat about data, limited and see my futile attempts to make food that looks as good as it tasted. Also - cat and dog pictures.
discord.gg/Sk5HWdgKu4
If you are interested in coaching - ping me a message. Here. On Discord. On Twitter. You can find my socials on
https://linktr.ee/sierkovitz
This podcast is sponsored by mtgazone.com - get your reading fix from the best and brightest Magic writers in the business.
If you like the videos I put out, consider becoming a patron on
patreon.com/sierkovitz
to get extra access, perks and the good feeling of supporting my work.
I do understand Patreon is a commitment, if you can't commit, but still would like to help me - like, sub, comment, share.
You can get the BulkBox at bulkbox.co.uk/store if you are in the UK. Remember to use SIERKO10 code for a 10% discount!
If you are outside of UK, you can find your local distributor on the BulkBox website.
