![\"1-v-At-QZb-ROu-Tdp36a-QQ8cq-BA.png\"](\"https://i.postimg.cc/J0PQFZFt/1-v-At-QZb-ROu-Tdp36a-QQ8cq-BA.png\")
There is lots of opportunity for feature engineering this competition. We have x, y, z coordinates for position and velocity. This means we can compute the Euclidean, Manhattan or Minkowski distance to the goal.
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We also have the velocity, so another idea could be to compute the absolute speed of the ball / cars using the formula speed = sqrt(v_x^2+v_y^2+v_z^2).
\nWe have multiple cars so how about computing the distances between themselves, or the average/maximum/minimum distance of the 3 cars on one team to the goal.
\nThere are two teams so we can compute the average/maximum distance between the two teams. How many opposition players are there between the ball and the goal?
\nIs there a 'goal keeper', i.e. a player defending in goal, or is it an open goal? The right feature for this would be the minimum distance of a player to the goal.
\nDepending on the ability of the players, being elevated off the ground can often signify a player is taking/defending a shot. So the z-coordinates could be quite useful.
\n![\"giphy-car1.gif\"](\"https://i.postimg.cc/gJYmpLs3/giphy-car1.gif\")
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![\"200-car2.gif\"](\"https://i.postimg.cc/Qdp2MxHm/200-car2.gif\")
There is lots of opportunity for feature engineering this competition. We have x, y, z coordinates for position and velocity. This means we can compute the Euclidean, Manhattan or Minkowski distance to the goal.
\n
We also have the velocity, so another idea could be to compute the absolute speed of the ball / cars using the formula speed = sqrt(v_x^2+v_y^2+v_z^2).
\nWe have multiple cars so how about computing the distances between themselves, or the average/maximum/minimum distance of the 3 cars on one team to the goal.
\nThere are two teams so we can compute the average/maximum distance between the two teams. How many opposition players are there between the ball and the goal?
\nIs there a 'goal keeper', i.e. a player defending in goal, or is it an open goal? The right feature for this would be the minimum distance of a player to the goal.
\nDepending on the ability of the players, being elevated off the ground can often signify a player is taking/defending a shot. So the z-coordinates could be quite useful.
\n
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Interesting ideas for feature engineering. Those gifs make me wanna play Rocket League now lol
", "rawMarkdown": "Interesting ideas for feature engineering. Those gifs make me wanna play Rocket League now lol", "votes": null }, { "id": "1971027", "postDate": "10/04/2022 12:23:41", "content": "interesting ideas for feature engineering!
", "rawMarkdown": "interesting ideas for feature engineering!", "votes": null }, { "id": "1972595", "postDate": "10/05/2022 08:29:38", "content": "More about Distance Measures
\n![\"Screenshot-2022-10-05-142726.png\"](\"https://i.postimg.cc/g016Kc5t/Screenshot-2022-10-05-142726.png\")
@samuelcortinhas How to calculate distance b/w ball and goal. For ball we have the coordinates but what are the coordinates for both the goals ?
", "rawMarkdown": "samuelcortinhas How to calculate distance b/w ball and goal. For ball we have the coordinates but what are the coordinates for both the goals ?", "votes": null }, { "id": "2007537", "postDate": "10/28/2022 09:43:07", "content": "You can estimate this from the training data. If I remember off the top of my head correctly it is something like (0,+/-102.2,1.6)
", "rawMarkdown": "You can estimate this from the training data. If I remember off the top of my head correctly it is something like (0,+/-102.2,1.6)", "votes": null } ], "comments": [ { "id": 1968039, "author_name": "chazzer", "author_url": "", "post_date": "10/02/2022 20:31:35", "content": "Interesting ideas for feature engineering. Those gifs make me wanna play Rocket League now lol
", "votes": null, "replies": [] }, { "id": 1971027, "author_name": "saipranoy", "author_url": "", "post_date": "10/04/2022 12:23:41", "content": "interesting ideas for feature engineering!
", "votes": null, "replies": [] }, { "id": 1972595, "author_name": "gazu468", "author_url": "", "post_date": "10/05/2022 08:29:38", "content": "More about Distance Measures
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@samuelcortinhas How to calculate distance b/w ball and goal. For ball we have the coordinates but what are the coordinates for both the goals ?
", "votes": null, "replies": [ { "id": 2007537, "author_name": "samuelcortinhas", "author_url": "", "post_date": "10/28/2022 09:43:07", "content": "You can estimate this from the training data. If I remember off the top of my head correctly it is something like (0,+/-102.2,1.6)
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "1966875": "### New features\n\nThere is lots of opportunity for feature engineering this competition. We have x, y, z coordinates for position and velocity. This means we can compute the **Euclidean**, **Manhattan** or **Minkowski distance** to the goal. \n\n[](https://postimg.cc/bSSbDDpj)\n\nWe also have the **velocity**, so another idea could be to compute the **absolute speed** of the ball / cars using the formula speed = sqrt(v_x^2+v_y^2+v_z^2).\n\nWe have multiple cars so how about computing the distances between themselves, or the **average/maximum/minimum distance** of the 3 cars on one team to the goal. \n\nThere are two teams so we can compute the average/maximum **distance between the two teams**. How many opposition players are there **between the ball and the goal**? \n\nIs there a 'goal keeper', i.e. a player defending in goal, or is it an **open goal**? The right feature for this would be the **minimum distance of a player to the goal**. \n\nDepending on the ability of the players, being **elevated off the ground** can often signify a player is taking/defending a shot. So the z-coordinates could be quite useful.\n\n### Enjoy some gifs\n\n[](https://postimg.cc/bGFKHJKv)\n\n