# [Study] 1000+ Steem Monster Packs Statistics [Spreadsheet with Proof of Work] Part 1 Hello everyone, today I want to share the results of my **1000+ Steem monsters Pack opening** study. What I decided to do was to analyze Pack Openings from **Dlive Livestreams** between June 1st and June 4th and to determine what kinds of chances you actually have to get something good when opening @steemmonsters packs. In total, I collected **data from 1000 packs** and put them in a spreadsheet to find out the odds for everyone who is interested to play, trade, collect or sell packs and cards. It took me a while to get this data together, hope you like this idea behind this study. ![Steemmainpicture.jpg](https://cdn.steemitimages.com/DQmVRRcTdxLGtu5G34d1KA2Ap4Zgx7DNJuT3kegJNnymoqx/Steemmainpicture.jpg) ## 1. Important Criteria I only recorded data from **Livestreams with at least 10+ packs being opened**, to remove the distortion effect from single packs. This was important to be sure that they weren't only uploaded because they got a rare card. The **main source** was **[Dlive](https://dlive.io/signup?referrer=tzap90)** with over 98% proportion. There was one exception the last 9 packs I had to open offline because I couldn't find more openings with the criteria mentioned above- and the goal was to get data from 1000 packs (and to start my collection) . You can find all sources in my spreadsheet at the end of this post. ## 2. Distribution of 5000 cards [Attention: you will find odds per Pack in the next table under No.3, this statistic shows ONLY the Distribution if you would own 5000 cards] | RARITY|Quantity | Percentage |-|-|-| Total cards| 5000 | 100% Common(grey)| 3418 | 68.36% | Rare (blue)| 1232 | 24.64 % | Epic (purple)| 281 | 5.62 % | Legendary(gold)| 69 | 1.38% ![123.jpg](https://cdn.steemitimages.com/DQmNXhGCUruuyxe8KsiAnciDzPSkSf4PHoMoR1kKG2ohfvB/123.jpg) ## 3. The most important Odds + probability in % per Pack Type of Pack | X times from 1000 sample size| Odds in % for each pack |average amount of packs you you need to open| |-|-|-|-| **_1 Rare+4 commons (worst pack)_** | 443 | **44.3 %** | 2.25 **_at least 1 Epic_** | 261 | **26.1 %**| 3.85 **_at least 1 Legendary (any combination)_**| 69 | **6.9 %** | 14.50 at least 2 Epics | 17 | 1.7 %| 58.80 at least 2 Legendaries | 0 |< 0.1 % | a lot | | 1 Legendary + at least 1 Rare | 31 |3.1 %| 32.25 1 Legendary + at least 1 Epic | 12 |1.2 %| 83.30 1 Lgendary + 2 Rare| 9 |0.9 %| 111.00 1 legendary + 4 commons | 21 |2.1 %| 47.60 ## 4. First conclusion In each pack, you will find always 5 cards. One of them is always at least better than „common“. Worst Pack you can get is a set of 4 common and one rare card. On average you need to open 14.5 packs to get 1 Legendary Card. Every 4th pack should contain an epic card. And most likely every 2nd pack (44.3%) will be the worst possible pack [4 commons+1 rare] The interesting thing is that it seems to be more likely to get 1 Legendary with a 1 rare card than „just“ 1 Legendary card (with 4 commons). Another statistic says that once you have an Epic card on your screen the chance to get a legend in this pack is around 1.2%. ## 5. More Interesting odds [sorted by different types of pack combinations]. Type of Pack | X times from 1000 sample| Odds in % |-|-|- 1 Rare (worst pack) | 443 | 44.3 %| at least 1 Legendary (any combination)| 69 | 6.9 % 1 Rare + 1 Epic | 67 | 6.7 % 1 Rare + 2 Epic | 6 | 0,6 % 1 Rare + 3 Epic | 1 | 0.1 % 2 Rares | 177 | 17.7 % 2 Rares + 1 Epic | 39 | 3.9 % 2 Rares + 2 Epics | 2 | 0.2 % 3 Rares | 55 | 5.5 % 3 Rare + 1 Epic | 11 | 1.1 % 4 Rares | 6 | 0.6 % 5 Rares | 1 | 0.1 % at least 1 Epic | 261 | 26.1 % at least 2 Epics | 17 | 1.7 % 3 Epics| 3 | 0.3 % 3 Epics + 1 Rare | 1 | 0.1 % 4 Epics | 0 |< 0.1 % 5 Epics | 0 |< 0.1 % Notice : Obviously these numbers will not be exact, but given the sample size I believe they should give a pretty good first impression of the odds. [June 2018] More data need to be collected to get more accurate results. ![law_trennlinie.png](https://cdn.steemitimages.com/DQmS4TMjPPjvN2VBYfG2WfNRoj79jvsyTueZeXtCYHVCbua/law_trennlinie.png) ## 6. Sources | Spreadsheet with Proof of Work You can find all sources in my spreadsheet. Klick on picture or [link here](https://docs.google.com/spreadsheets/d/1mj0E6U57Cmge0qkrdsfzK__T03rh3wZKGAIgo8AiWiQ/edit?usp=sharing) Example: user [X] pulled on Stream [Livestream Name+ Platform] at Minute a Legendary card Named [x] For the moment you are able to read the Excel document online [read Access]; use filter options to play around with it [![Screenshot (78).png](https://cdn.steemitimages.com/DQmSSpf1yo4A2WPDc4KLwVkpoX3t5PtsTgFA2pFRPy5WCMw/Screenshot%20(78).png)](https://docs.google.com/spreadsheets/d/1mj0E6U57Cmge0qkrdsfzK__T03rh3wZKGAIgo8AiWiQ/edit?usp=sharing) ![law_trennlinie.png](https://cdn.steemitimages.com/DQmS4TMjPPjvN2VBYfG2WfNRoj79jvsyTueZeXtCYHVCbua/law_trennlinie.png) If this is your first time hearing about Steem Monsters, I strongly suggest visiting their official steemit account @steemmonsters for more details. You can also check out their website at: https://steemmonsters.com **If you have spare cards feel free to send them to @tzap90 😃** Thx for reading! good luck with your packs! Comment ; Upvote ; Resteem if you like this post 05/06/2018 @tzap90 ___