ISSN: 2226-6348
Open access
Olympic synchronised diving begins with two restricted rounds assigned a degree of difficulty (DD) of 2.0, followed by free rounds whose scores combine difficulty and judged performance. This retrospective study examined 28 Olympic finals from 2000 to 2024: 224 pair performances and 1,200 round scores. The primary measure compared champion–runner-up relative margins between scoring blocks. Restricted-minus-free differences averaged 3.01 percentage points in platform (95% bootstrap CI 0.62 to 5.41) and 0.38 in springboard (?2.96 to 3.91). The pooled estimate was 1.69 (?0.46 to 3.84). A direct platform–springboard contrast, matched by Games and sex and summarised across seven Games, remained uncertain: 2.63 percentage points (95% t interval ?1.54 to 6.79). Champions outscored runners-up on restricted rounds in 27 finals, with a mean counted-award advantage of 0.62 (95% CI 0.47 to 0.78). No champion’s restricted dive fell below the descriptive 8.0 benchmark, compared with nine runner-up dives; these were not validated technical-error classifications. Perfect restricted scores would still have been insufficient to close the runner-up’s final deficit in 16 finals with free scores unchanged. An official-book audit confirmed all 176 Beijing 2008 round scores and recovered DD for its 112 free dives; six further round scores were checked against a national Olympic committee report. The remaining 640 free-dive DD values were not recovered. The four-final DD analysis is reported separately rather than extrapolated across Games. These results provide historical scoring benchmarks, not evidence that restricted dives independently cause or predict Olympic success. Data, source-specific verification records and executable code accompany the manuscript.
Atkinson, G., & Nevill, A. M. (1998). Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Medicine, 26(4), 217–238. https://doi.org/10.2165/00007256-199826040-00002
Balmer, N. J., Nevill, A. M., & Williams, A. M. (2003). Modelling home advantage in the Summer Olympic Games. Journal of Sports Sciences, 21(6), 469–478. https://doi.org/10.1080/0264041031000101890
Barris, S., Davids, K., & Farrow, D. (2013). Representative learning design in springboard diving: Is dry-land training representative of a pool dive?. European Journal of Sport Science, 13(6), 638–645. https://doi.org/10.1080/17461391.2013.770923
Barris, S., Farrow, D., & Davids, K. (2014). Increasing functional variability in the preparatory phase of the takeoff improves elite springboard diving performance. Research Quarterly for Exercise and Sport, 85(1), 97–106. https://doi.org/10.1080/02701367.2013.872220
Beijing Organising Committee for the Games of the XXIX Olympiad (2008). Diving: Official results book. LA84 Foundation Digital Library. https://digital.la84.org/digital/api/collection/p17103coll8/id/65064/download
Beilock, S. L., & Carr, T. H. (2001). On the fragility of skilled performance: What governs choking under pressure?. Journal of Experimental Psychology: General, 130(4), 701–725. https://doi.org/10.1037/0096-3445.130.4.701
Bruine de Bruin, W. (2006). Save the last dance II: Unwanted serial position effects in figure skating judgments. Acta Psychologica, 123(3), 299–311. https://doi.org/10.1016/j.actpsy.2006.01.009
Damisch, L., Mussweiler, T., & Plessner, H. (2006). Olympic medals as fruits of comparison? Assimilation and contrast in sequential performance judgments. Journal of Experimental Psychology: Applied, 12(3), 166–178. https://doi.org/10.1037/1076-898X.12.3.166
Efron, B. (1979). Bootstrap methods: Another look at the jackknife. The Annals of Statistics, 7(1), 1–26. https://doi.org/10.1214/aos/1176344552
Emerson, J. W., Seltzer, M., & Lin, D. (2009). Assessing judging bias: An example from the 2000 Olympic Games. The American Statistician, 63(2), 124–131. https://doi.org/10.1198/tast.2009.0026
Fédération Internationale de Natation (2022). FINA diving rules 2022–2025. FINA. https://resources.fina.org/fina/document/2022/11/30/3f3df9e6-c41a-4853-b62e-6d57ff750150/1_Diving-Technical-Rules.03.12.2022_clean.pdf
Field, C. A., & Welsh, A. H. (2007). Bootstrapping clustered data. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 69(3), 369–390. https://doi.org/10.1111/j.1467-9868.2007.00593.x
Findlay, L. C., & Ste-Marie, D. M. (2004). A reputation bias in figure skating judging. Journal of Sport and Exercise Psychology, 26(1), 154–166. https://doi.org/10.1123/jsep.26.1.154
Gelman, A., & Stern, H. (2006). The difference between “significant” and “not significant” is not itself statistically significant. The American Statistician, 60(4), 328–331. https://doi.org/10.1198/000313006X152649
Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., et al. (2020). Array programming with NumPy. Nature, 585, 357–362. https://doi.org/10.1038/s41586-020-2649-2
Heiniger, S., & Mercier, H. (2021). Judging the judges: Evaluating the accuracy and national bias of international gymnastics judges. Journal of Quantitative Analysis in Sports, 17(4), 289–305. https://doi.org/10.1515/jqas-2019-0113
Hill, D. M., Hanton, S., Matthews, N., & Fleming, S. (2010). Choking in sport: A review. International Review of Sport and Exercise Psychology, 3(1), 24–39. https://doi.org/10.1080/17509840903301199
Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65–70. https://www.jstor.org/stable/4615733
Hopkins, W. G. (2000). Measures of reliability in sports medicine and science. Sports Medicine, 30(1), 1–15. https://doi.org/10.2165/00007256-200030010-00001
Hughes, M. D., & Bartlett, R. M. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20(10), 739–754. https://doi.org/10.1080/026404102320675602
Hunter, J. D. (2007). Matplotlib: A 2D graphics environment. Computing in Science & Engineering, 9(3), 90–95. https://doi.org/10.1109/MCSE.2007.55
Kerby, D. S. (2014). The simple difference formula: An approach to teaching nonparametric correlation. Comprehensive Psychology, 3, Article 11.IT.3.1. https://doi.org/10.2466/11.IT.3.1
Kramer, R. S. S. (2017). Sequential effects in Olympic synchronized diving scores. Royal Society Open Science, 4(1), Article 160812. https://doi.org/10.1098/rsos.160812
Lakens, D. (2017). Equivalence tests: A practical primer for t tests, correlations, and meta-analyses. Social Psychological and Personality Science, 8(4), 355–362. https://doi.org/10.1177/1948550617697177
Lee, J. (2008). Outlier aversion in subjective evaluation: Evidence from World Figure Skating Championships. Journal of Sports Economics, 9(2), 141–159. https://doi.org/10.1177/1527002507299203
London Organising Committee of the Olympic Games and Paralympic Games (2012). Diving: Official results book. Games of the XXX Olympiad. https://web.archive.org/web/20130511023903/http://www.london2012.com/mm/Document/sport/General/01/40/33/53/DIVINGRESULTSBOOKV2_Neutral.pdf
Luedeker, B., & McGee, M. (2022). Relationship between judges’ scores and dive attributes from a video recording of a diving competition. PLOS ONE, 17(8), Article e0273374. https://doi.org/10.1371/journal.pone.0273374
Malcata, R. M., & Hopkins, W. G. (2014). Variability of competitive performance of elite athletes: A systematic review. Sports Medicine, 44(12), 1763–1774. https://doi.org/10.1007/s40279-014-0239-x
McGee, M. (2025). Maximizing diver score by examining discrepancies in diver competency and judges’ marks. Journal of Sports Analytics, 11. https://doi.org/10.1177/22150218251403307
Morgan, H. N., & Rotthoff, K. W. (2014). The harder the task, the higher the score: Findings of a difficulty bias. Economic Inquiry, 52(3), 1014–1026. https://doi.org/10.1111/ecin.12074
Nichols, P. (2024, July 29). Wiens & Zsombor-Murray dive to bronze in men’s 10m synchro at Paris 2024. Canadian Olympic Committee. https://olympic.ca/2024/07/29/wiens-zsombor-murray-dive-to-bronze-in-mens-10m-synchro-at-paris-2024/
O’Donoghue, P. (2010). Research methods for sports performance analysis. Routledge. https://doi.org/10.4324/9780203878309
Pinder, R. A., Davids, K., Renshaw, I., & Araújo, D. (2011). Representative learning design and functionality of research and practice in sport. Journal of Sport and Exercise Psychology, 33(1), 146–155. https://doi.org/10.1123/jsep.33.1.146
Plessner, H., & Haar, T. (2006). Sports performance judgments from a social cognitive perspective. Psychology of Sport and Exercise, 7(6), 555–575. https://doi.org/10.1016/j.psychsport.2006.03.007
Plessner, H., Ermark, F., Schütz, L.-M., & Schweizer, G. (2023). Sports performance judgments—An update from a social cognitive perspective. Asian Journal of Sport and Exercise Psychology, 3(1), 13–23. https://doi.org/10.1016/j.ajsep.2023.01.002
Rio 2016 Organising Committee for the Olympic and Paralympic Games (2016). Diving: Results book. Olympic World Library. https://library.olympics.com/Default/detailstatic.aspx?RSC_BASE=SYRACUSE&RSC_DOCID=165312
Sandve, G. K., Nekrutenko, A., Taylor, J., & Hovig, E. (2013). Ten simple rules for reproducible computational research. PLOS Computational Biology, 9(10), Article e1003285. https://doi.org/10.1371/journal.pcbi.1003285
Sebanz, N., Bekkering, H., & Knoblich, G. (2006). Joint action: Bodies and minds moving together. Trends in Cognitive Sciences, 10(2), 70–76. https://doi.org/10.1016/j.tics.2005.12.009
Shmueli, G. (2010). To explain or to predict?. Statistical Science, 25(3), 289–310. https://doi.org/10.1214/10-STS330
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., et al. (2020). SciPy 1.0: Fundamental algorithms for scientific computing in Python. Nature Methods, 17, 261–272. https://doi.org/10.1038/s41592-019-0686-2
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & STROBE Initiative (2007). The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. PLOS Medicine, 4(10), Article e296. https://doi.org/10.1371/journal.pmed.0040296
Wasserstein, R. L., & Lazar, N. A. (2016). The ASA’s statement on p-values: Context, process, and purpose. The American Statistician, 70(2), 129–133. https://doi.org/10.1080/00031305.2016.1154108
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, Article 160018. https://doi.org/10.1038/sdata.2016.18
Wing, A. M., & Woodburn, C. (1995). The coordination and consistency of rowers in a racing eight. Journal of Sports Sciences, 13(3), 187–197. https://doi.org/10.1080/02640419508732227
World Aquatics (2024). Paris 2024 diving results report. World Aquatics. https://resources.fina.org/fina/document/2024/10/03/28802278-c220-48cc-996a-d4fd7200d9ce/Paris-2024-Diving-Results-Report-V2.pdf
Haleem, H. (2026). Restricted-Round Performance and Winning Margins in Olympic Synchronised Diving, 2000–2024. International Journal of Academic Research in Progressive Education and Development, 15(4), 557–583.
Copyright: © 2026 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode