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Canzhi Ye에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Canzhi Ye 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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8 - Kostya Medvedovsky, DARKO and assorted NBA analytics topics

2:21:33
 
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Manage episode 318615221 series 2567711
Canzhi Ye에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Canzhi Ye 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

I was joined by Kostya Medvedovsky, the creator of the basketball projection system DARKO. We went into the weeds about the methodology behind DARKO and answered questions from Twitter about it. We then picked Kostya's brain on a wide range of NBA analytics ideas, mostly focused on topics that involve predicting things. Finally, we answered some more questions from Twitter. You can find Kostya on twitter: @kmedved

[00:00:00] - DARKO

[00:05:05] - exponential decay

[00:08:10] - kalman filters

[00:11:10] - gradient boosted trees go brrrr?

[00:13:40] - data infra

[00:21:30] - seasonality effects

[00:30:45] - rule changes, big external shifts like COVID

[00:37:50] - aging effects

[00:42:40] - measuring defense with box score data

[00:44:50] - Canzhi rants on RAPM, SPM

[00:52:35] - garbage time

[00:57:00] - how to structure data, wax poetic on pbpstats

[01:02:20] - player career and longevity projections

[01:09:30] - another GBT package

[01:10:50] - DFS, betting

[01:19:40] - when DARKO struggles / can learn from betting markets

[01:26:55] - college basketball DARKO

[01:35:00] - NBA preseason

[01:41:30] - coach RAPM lol

[01:43:10] - playoff adjustments

[01:46:25] - playoff adjustments

[01:49:05] - hot hand (fallacy? paper linked below), midwits

[01:55:40] - Sengun

[02:00:50] - team building, quantifying lineup ~synergies~

Things we brought up in the episode:
DARKO: https://darko.app

DRIP: https://theanalyst.com/na/2021/10/nba-stats-and-player-projections/

Hot hand discussion: https://marketing.wharton.upenn.edu/wp-content/uploads/2018/11/Paper-Joshua-Miller.pdf

  continue reading

9 에피소드

Artwork
icon공유
 
Manage episode 318615221 series 2567711
Canzhi Ye에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Canzhi Ye 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

I was joined by Kostya Medvedovsky, the creator of the basketball projection system DARKO. We went into the weeds about the methodology behind DARKO and answered questions from Twitter about it. We then picked Kostya's brain on a wide range of NBA analytics ideas, mostly focused on topics that involve predicting things. Finally, we answered some more questions from Twitter. You can find Kostya on twitter: @kmedved

[00:00:00] - DARKO

[00:05:05] - exponential decay

[00:08:10] - kalman filters

[00:11:10] - gradient boosted trees go brrrr?

[00:13:40] - data infra

[00:21:30] - seasonality effects

[00:30:45] - rule changes, big external shifts like COVID

[00:37:50] - aging effects

[00:42:40] - measuring defense with box score data

[00:44:50] - Canzhi rants on RAPM, SPM

[00:52:35] - garbage time

[00:57:00] - how to structure data, wax poetic on pbpstats

[01:02:20] - player career and longevity projections

[01:09:30] - another GBT package

[01:10:50] - DFS, betting

[01:19:40] - when DARKO struggles / can learn from betting markets

[01:26:55] - college basketball DARKO

[01:35:00] - NBA preseason

[01:41:30] - coach RAPM lol

[01:43:10] - playoff adjustments

[01:46:25] - playoff adjustments

[01:49:05] - hot hand (fallacy? paper linked below), midwits

[01:55:40] - Sengun

[02:00:50] - team building, quantifying lineup ~synergies~

Things we brought up in the episode:
DARKO: https://darko.app

DRIP: https://theanalyst.com/na/2021/10/nba-stats-and-player-projections/

Hot hand discussion: https://marketing.wharton.upenn.edu/wp-content/uploads/2018/11/Paper-Joshua-Miller.pdf

  continue reading

9 에피소드

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