Devlog #5

So I was recently about to ship but it got recalled because I used Claude to do the whole UI and never touched up on it again, which is my fault completely. However, since then I have actually updated the entire UI by adding modular sections and more color by position points. It has the same dark tone as before, but there’s a new purple accent now to make it less generic. Along with that, every position is basically customized by it’s own unique color as well, providing a connection beyond text. Other than that, text was made bigger, and font colors were made lighter to make them pop out more against the dark background. Attached is how the starting page looks like now.

Devlog #4

This devlog is the last before the first ship as the site is now officially live! The only change made between this log and the last is that you can choose whether you have a snake or linear draft. Other than that, hosting is being done through Render(hopefully an accepted hosting platform) and the link is officially live at: https://fantasy-football-drafter.onrender.com/. Attached is how the menu looks now that you can choose draft type.

Devlog #3

So unfortunately, I wasn’t able to connect to Sleeper API, because I was busy updating the value algorithm to make it sure it worked well. Earlier, it was favoring positions too much and wasn’t realizing that starters matter more than bench. I think I’ve found the perfect medium between balancing both maximizing starting talent and a decent bench lineup. I expect to ship within the next few days once I upload a live link and maybe add a feature to differentiate between snake and linear draft along with adding more position customization perhaps. Other than that, this project will probably ship with just a manual mode at first, and then have another ship with Sleeper API connected to it. Attached is a sample of how the UI looks when updating draft picks based on what’s going on in.

Devlog #2

Well, the initial part of the project is completed. There is now a value calculation algorithm in place that ranks each player based on a number of metrics: current draft pick, player ranking, bye week, and roster needs. After that, it gives 8 suggested players in the menu, ranked by points, and also gives warnings about possible reaches and the current pick, but also symbols that could signify a steal at the current pick. Additional testing will be conducted in regards to how well the system seems to be working by simulating a separate mock draft with online resources. My next plan after this, if the system is working correctly, is to connect it seamlessly with Sleeper, as stated in Devlog #1. Attached is how the user interface currently looks after starting the draft.

Devlog #1

This is the start of a fantasy football draft assistant project I’m working on. Currently, it doesn’t do much as most of the time was spent on gathering data for the three main scoring types: PPR, Half-PPR, and Standard, along with the player database from Sleeper. The plan is to eventually find an algorithm to calculate expected value for each player based on different data points: your draft position, current draft pick, player data in general, along with other external factors such as current roster. Also I’m only working on the manual mode right now where all picks have to be manually put in but since Sleeper has a free API(used for player data), I hope to eventually add a seamless integration where it can directly link to a Sleeper League. Provided below is the starter UI menu but will be changed over time as more features are added.

First: Thank you everyone for their reviews on my first ship, this will likely be the last devlog for this project as it is a time-based project(can’t really update after the world cup ends) but I appreciate all the feedback. As for this current devlog, there was a small fix which needed to be done, I originally said on my last post that after a matchup occurs in real-time, it is locked and can’t be simulated anymore. This is not the case anymore and you have the option of locking/unlocking games that have occurred in real time already.

The group stage just completed today, but luckily the knockout functionality was essentially all set to go. After inputting the matchups, the site now has new knockout features equipped. There is an interactive bracket, to simulate your own matchups that includes penalty shootouts, along with a simple page to display advancement probabilities to each round. Another ship should be out shortly to reflect these new changes.

So I’m currently working on a basketball trainer website, eventually converted into an app to help people improve their basketball skills. Currently, there’s only a good UI base because I haven’t started the full functionality yet. I plan on, hopefully, adding a new training section twice every week, or just weekly if that’s what works. Attached is the home page where the user inputs their info to get a baseline for training rigor.

This might be the last devlog for a bit, but the project is officially live with the help of streamlit as this is a python project. The link is already live, so you can simulate your own matches and see what the consensus result was through multiple simulations. This project will be shipped soon but updated again for when the knockout stage matchups are set in stone. Attached is how it looks on the main page.

Update: I added the FIFA rankings as another metric to simulate the games. I also strayed away from using the poisson model to predict outcome and now only use it for scoring purposes as the random forest model is much more accurate. Attached are the updated probabilities.

So I recently decided to train a model to help predict the group stage matches for the FIFA world cup. It’s a combination of a Random Forest Model and Poisson Distribution to help predict the games. Currently I’m only training the model based off of a teams ELO and recent form(performance in past 5 games), but plan on adding FIFA’s point system as another metric. I attached the most common match result of each game after running the simulation 1000 times and the probability of where each team finishes this year(first, second, third qual., third elim., and fourth)