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  1. 1

    Automatic segmentation and contextualization of elite handball matches with machine learning

    Bassek, M., Raabe, D., Banning, A., Memmert, D.
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  2. 2

    Performing best when it matters the most: evidence from professional handball

    Bühren, C., Gabriel, M.
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  3. 3

    Participation in the under-18 Euroleague Next Generation Tournament does not predict attaining NBA, Euroleague, or Eurocup

    Carvalho, H. M., Morais, C. Z., Lima, A. B., Galvão, L. G., Grosgeorge, B., Gonçalves, C. E.
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  4. 4

    Estimating team possessions in high-level European basketball competition

    Charamis, E., Marmarinos, C., Ntzoufras, I.
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  5. 5

    Cooperative passing network features are associated with successful match outcomes in the Australian Football League

    Fransen, J., Tribolet, R., Bradshaw Sheehan, W., McBride, I., Novak, A. R., Langley Watsford, M.
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  6. 6

    Effect of match-related contextual factors on positional performance in the national rugby league

    Wedding, C. J., Gomez, M. A., Woods, C. T., Sinclair, W. H., Leicht, A. S.
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  7. 7

    Predicting elite NBA lineups using individual player order statistics

    Martonosi, S. E., Gonzalez, M., Oshiro, N.
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  8. 8

    Statistical implications of the pick technique in a basketball match performance analysis

    Izzo, R., Varde'i, C. H., Righi, E., Cejudo, A., Giovannelli, M.
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  9. 9

    Sportartübergreifende Erkenntnisse und Schlussfolgerungen aus der Olympiazyklusanalyse Wintersport 2018-2022 und der Olympischen Winterspiele Peking 2022 unter besonderer Berücksic... (Cross-sport findings and conclusions from the Olympic cycle analysis winter sports 2018-2022 and the Beijing 2022 Olympic Winter Games, with special consideration of the sports supported by the IAT)

    Wick, J., Tippelt, U.
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  10. 10

    Decreasing number of distance shooting in handball - trend of nowadays male handball competition

    Smolarczyk, M.
    Published in Biomedical Human Kinetics (2023)
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  11. 11

    Characteristics of specific intense actions during top-level team handball matches

    Panduro, J., Holmgaard, E., Randers, M. B.
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  12. 12

    Expected goals model with pre-shot movement, Part 2: Historic team and player results

    Novet, A.
    Published 2019
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  13. 13

    Expected goals model with pre-shot movement, Part 3: 2018-2019 data

    Novet, A.
    Published 2019
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  14. 14

    Quantitative analysis of distances covered by professional basketball players according to the movement intensities

    Junior, A. C., Misuta, M. S., Mercadante, L. A.
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  15. 15

    Modelling of technical tactical actions as the management factor competitive process and preparation of basketball players of high qualification

    Doroshenko, E. Y.
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  16. 16

    Performance analysis of elite men`s and women`s wheelchair basketball teams

    Gómez, M. A., Pérez, J., Molik, B., Szyman, R. J., Sampaio, J.
    Published in Journal of Sports Sciences (2014)
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  17. 17

    Sotschi 2014. XXII. Olympische Winterspiele. Auswertungen und Analysen (Sochi 2014. XXIInd Olympic Winter Games. Report and analyses)

    DOSB
    Published 2014
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  18. 18

    London-2012: Analiz vystuplenija Rossijskoj sbornoj

    Konikov, V. I.
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  19. 19

    Modelling home advantage in basketball at differnt levels of competition

    Pojskic, H., Separovic, V., Uzicanin, Z.
    Published in Acta Kinesiologica (2011)
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  20. 20

    Performance differences between winning and losing basketball teams during close, balanced and unbalanced quarters

    Csataljay, G., James, N., Hughes, M., Dancs, H.
    Published in Journal of Human Sport & Exercise (2012)
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