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| Paper Abstract and Keywords | ||
| Presentation | 2022-03-28 14:15 Suggestion of inpact metrics in B.LEAGUE Koji Sugie, Eiji Konaka (Meijo Univ.)  MSS2021-64 NLP2021-135 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In basketball, the number of plays involved by each player (points, shots, etc.) is recorded as box scores. In addition, at the professional level, the units of plays (points, changes in ball possession) may be recorded and published. However, simple statistics (stats) such as the total number of goals scored do not take into account the circumstances of the game (opponent, score difference, remaining time, etc.), and these simple metrics may not be able to correctly judge whether a player really played for the winning of his team. Impact metrics aim to show the contribution of a player to his team’s winning or losing with a single indicator. An impact metric based on the real-time probability of winning a game has been proposed. The calculation of this impact metric, however, has been performed for the NBA, a professional basketball league in the U.S. It has not been for the B.LEAGUE (B League), a professional basketball league in Japan. The purpose of this study is to propose an impact metric using real-time win probability for the B-League, especially for the B1 players. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | B.LEAGUE / Impact metrics / realtime win probability / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 443, MSS2021-64, pp. 45-50, March 2022. | |
| Paper # | MSS2021-64 | |
| Date of Issue | 2022-03-21 (MSS, NLP) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MSS2021-64 NLP2021-135 |
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| Conference Information | |
| Committee | MSS NLP |
| Conference Date | 2022-03-28 - 2022-03-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2022-03-MSS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Suggestion of inpact metrics in B.LEAGUE |
| Sub Title (in English) | |
| Keyword(1) | B.LEAGUE |
| Keyword(2) | Impact metrics |
| Keyword(3) | realtime win probability |
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| 1st Author's Name | Koji Sugie |
| 1st Author's Affiliation | Meijo University (Meijo Univ.) |
| 2nd Author's Name | Eiji Konaka |
| 2nd Author's Affiliation | Meijo University (Meijo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-03-28 14:15:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2021-64, NLP2021-135 |
| Volume (vol) | vol.121 |
| Number (no) | no.443(MSS), no.444(NLP) |
| Page | pp.45-50 |
| #Pages | 6 |
| Date of Issue | 2022-03-21 (MSS, NLP) |
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