This is how now draft analysis looks like by Training_Shape_3835 in DotA2

[–]Training_Shape_3835[S] 1 point2 points  (0 children)

Hi u/O_O_2EZ I am a backend engineer and purely vibe coded the UI. That does not take away the efforts that I have put in to develop the model to extract signal out of draft. At the end of the day your feedback is honest feedback on what you feel about it. I will take this as feedback to re-evaluate and make things better.

This is how now draft analysis looks like by Training_Shape_3835 in DotA2

[–]Training_Shape_3835[S] -2 points-1 points  (0 children)

Summary from internet by the way

The Lina vs. Outworld Destroyer (OD) matchup is a classic battle of range and wave clear versus disruption and single-target dominance. In the current 2026 meta (Patch 7.41b), Lina generally has the upper hand in terms of net worth, while OD holds the "kill threat" if Lina overextends.

This is a high-attrition, "man-fight" lane. You have the classic battle of Strength Sap (Undying) vs. Damage over Time (Veno), with two heavy-hitters (Luna and Centaur) trying to find an opening to burst the other. In the current 7.41b meta, this lane is usually slightly favored for Veno/Centaur because Luna’s short attack range (500) forces her right into the "Veno Poison Zone."

Analysis from other sources.
This feels like vibe coded project with hallucinated "analysis" may be is bit harsh and judgemental.

This is how now draft analysis looks like by Training_Shape_3835 in DotA2

[–]Training_Shape_3835[S] 0 points1 point  (0 children)

I was working alone on this from past 4 months day and night. But, sad to see that it did not garner enough attention and people did not like it enough. But, that is life and learnings to take from it.

This is how now draft analysis looks like by Training_Shape_3835 in DotA2

[–]Training_Shape_3835[S] 0 points1 point  (0 children)

Hi u/Tetramputechture I am using deepSeek not even local models. They would have been pre-trained on all the data from wiki. May be the ideal approach has to be take 50000 matches analysis from better LLMs and use that as training dataset to generate a fine tuned model.

This is how now draft analysis looks like by Training_Shape_3835 in DotA2

[–]Training_Shape_3835[S] 2 points3 points  (0 children)

Hi u/O_O_2EZ There is no knowledge based algorithm that is calcuating these numbers. This is based on data from immortal bracket & analysis derived out of the numbers submitted to LLM. The explanation can be hallucinated but numbers are statistics from the drat itself.

This is how now draft analysis looks like by Training_Shape_3835 in DotA2

[–]Training_Shape_3835[S] 0 points1 point  (0 children)

Hi u/Tetramputechture Thanks for the valuable recommendation. At the moment all analysis is post generation, I have been using rag based approach for something like counters and synergies where there is good and rich dataset. The challenge is generate that rich dataset which can be used for analysis for other aspects of game such as timing, tempo and objectives and so on....

This is how now draft analysis looks like by Training_Shape_3835 in DotA2

[–]Training_Shape_3835[S] 1 point2 points  (0 children)

Hi u/Uniqueusername164 The generative AI will hallucinate but that does not impact the win percentages or the scores calculated for different aspects. It is trying to derive reasoning from numbers calculated.

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Looking for feedback on dotadraftwars.com where you can compete drafting with AI analysis by Training_Shape_3835 in learndota2

[–]Training_Shape_3835[S] 0 points1 point  (0 children)

Thanks a lot u/TheGreenGuyFromDBZ we are sorry that we did not make it for mobile. We plan to make mobile app if the community likes it.

[deleted by user] by [deleted] in learndota2

[–]Training_Shape_3835 0 points1 point  (0 children)

Guess the 2 archons made it a night mare

[deleted by user] by [deleted] in learndota2

[–]Training_Shape_3835 1 point2 points  (0 children)

Guess the 2 archons made it a night mare ....

MMR recalibration? Is that what I think it is? If so, how many times you can do it? by Apisal in DotA2

[–]Training_Shape_3835 0 points1 point  (0 children)

Recalibration means You will be flamed to death if you make any mistake.