Title
Notacijska analiza preponskog jahanja vrhunskih jahača
Creator
Ilić, Predrag, 1961-
CONOR:
34857063
Copyright date
2025
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
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Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 18.12.2025.
Other responsibilities
Academic Expertise
Društveno-humanističke nauke
University
Univerzitet u Nišu
Faculty
Fakultet sporta i fizičkog vaspitanja
Group
Katedra za individualne sportove
Alternative title
Notational analysis ofelite riders in show jumping
Publisher
[P. Ž. Ilić]
Format
253 str.
description
Biografija autora: str. 251.
Bibliografija: str. 210-240.
description
Scientific Disciplines in Sport and Physical Education
Abstract (en)
Introduction: Success in show jumping depends on multiple factors, with
theoretical insights obtained through notational analysis providing a foundation for
achieving advanced athletic performance. A limited number of authors have
investigated and published studies related to performance analysis in show jumping,
emphasizing its importance and the need for broader integration into competitive
practice. The results of such analyses may offer predictive value in enhancing
performance outcomes. The available literature on show jumping lacks research
aimed at examining outcomes across different obstacle types and competition
categories, particularly in relation to errors (as performance indicators) and their
predictive influence on final results during the main phase of competition. The aim
of this study was to determine the differences in notational analysis parameters
among elite riders and their association with performance outcomes at the “2022
Balkan Equestrian Championship” in show jumping.
Method: The necessary data were collected during the “2022 Balkan Equestrian
Championship” in show jumping, held in Romania from September 7 to 11, 2022,
with participation from the national teams of Albania, Bulgaria, Greece, Cyprus,
North Macedonia, Romania, Serbia, Turkey, and Croatia. A total of 7285 jumping
actions were analyzed across 512 competition starts, performed by male and female
athletes across five competitive categories: children, juniors, young riders, female
riders (amazons), and seniors. The selected performance indicators for this study
included: successful jump over an obstacle, knockdown of an obstacle, water jump
fault, first and second refusal, first and second closed circle between two consecutive
jumps, rider and/or horse fall, time penalties for each commenced second exceeding
the allowed time, exceeding the maximum allowed time, incorrectly jumped
obstacle, and elimination or withdrawal from the competition. The categorical
variables considered were: type of obstacle, type of competition, obstacle height,
obstacle width, competitor category, rider’s gender, event number, phase of the
competition, curved approach to the obstacle, type of distance, round timing, and
horse-related data. Notational recording of performance indicators was conducted in
real-time during each competitor's performance. All collected data were processed
using the statistical software package SPSS version 19. Descriptive parameters were
calculated through the application of descriptive statistics, while the distribution of
values was examined using the Kolmogorov–Smirnov test. The Wilcoxon signedrank
test was used to assess differences in values of the same samples measured at
two time points. The Friedman test was used to examine differences within the same
samples measured on three or more occasions. When statistically significant
differences were identified, the Wilcoxon signed-rank test was additionally applied
to further analyze the differences. The Mann–Whitney U test was used to determine
differences in parameter values between two independent groups. The Kruskal–
Wallis test was applied to examine differences in parameter values across three or
more independent groups, and in cases of statistically significant results, post hoc
analysis using the Mann–Whitney U test was conducted to explore differences
between group pairs. The χ² test was used to examine the proportions of cases
belonging to different categories. Pearson’s correlation coefficient was used to
evaluate the relationships between variables. Standard multiple regression analysis
was employed to assess the predictive power of each independent variable on the
dependent variable. The confidence interval was set at 95% (95% CI), and the
threshold for statistical significance was p< 0,05.
Results: Knockdowns occurred with varying average frequency depending on the
type of obstacle, with the results confirming that flat oxers and verticals were, on
average, significantly more frequently knocked down compared to light oxers, triple
bars, and obedience jumps. First refusals were more frequently recorded at flat oxers
and verticals, although without a statistically significant difference between them
(Sig=0,194). Falls of the rider and/or horse were extremely rare and showed no
significant differences among obstacle types (Sig≥0,180); they were recorded only
at verticals, flat oxers, large open water jumps (Mean=0,00; SD=0,062), and
liverpools, while no falls were observed at light oxers, triple bars, or obedience
jumps. When comparing parameter values between competitions judged under Table
A and Table C formats, significantly higher success in faultless obstacle clearance
was observed in Table A events (Sig=0,000), along with significantly fewer
incidents of incorrectly jumped obstacles (Sig=0,020). The results of this study
revealed statistically significant differences between age categories in the
parameters of successfully cleared obstacles (Sig=0,003), water jump faults
(Sig=0,000), and time penalties (Sig=0,017). Furthermore, female riders, in
comparison to male riders, recorded significantly higher values in the parameters of
first refusal (Sig=0,001), time penalties (Sig=0,030), and eliminations or
withdrawals from the competition (Sig=0,049). The results from the first, second,
and third competitions indicated statistically significant differences (Sig<0,05) in
the parameters of successfully cleared obstacles (Sig=0,010), water jump faults
(Sig=0,000), and time penalties (Sig=0,000). Significant differences were also
calculated between the thirds of the competition rounds in terms of successfully
cleared obstacles (Sig=0,000), knockdowns (Sig=0,001), and water jump faults
(Sig=0,000). A significantly higher incidence of water jump faults, as well as first
and second refusals, was recorded when the approach was made from a left turn
compared to a right turn (p≤0,024). In this study, straight-line distances, as compared
to curved-line approaches, resulted in a significantly higher average of successfully
cleared obstacles (Sig=0,000), along with significantly fewer faults in the parameters
of water jump refusals (Sig=0,000), first refusals (Sig=0,041), and second refusals
(Sig=0,002). On average, water jump refusals and first refusals occurred
significantly more often (Sig=0,000) in rounds where the allowed time was
exceeded. Knockdowns at each individual obstacle type were found to be
statistically significant predictors (Sig≤0,017), with varying impacts on the total
number of penalty points. First refusals at different types of obstacles showed a
strong overall correlation with total penalty points (R=0,580ᵃ), explaining 33,6% of
the total variance in penalties recorded during the main phase of competition. Within
this model, the most dominant predictors were first refusals occurring at verticals
and flat oxers, with moderate influence, accounting for 10,63% and 11,83% of the
total variance in penalty points, respectively.
Conclusion: Different competition formats, rider gender, obstacle heights, rider
categories, and approach trajectories induce significant differences across certain
performance parameters. In general, it can be concluded that different obstacle
constructions impose varying psychophysical demands, resulting in differences in
the frequency of errors depending on the type of obstacle. Consequently, these
obstacles exhibit varying degrees of influence and predictive power on the final
outcome, specifically in terms of total penalty points accumulated during the main
phase of the competition. The most frequent errors observed were knockdowns, first
refusals, water jump faults, and time penalties. Verticals and flat oxers were
identified as the most challenging obstacles. It can also be concluded that left-sided
and curved approaches present greater difficulty for riders.
Authors Key words
konjički sport, performans analiza, preskakanje prepona, greške, pol
jahača, prepone, visina prepona, putanja, vreme
Authors Key words
equestrian sport, performance analysis, show jumping, фaults, rider gender,
obstacles, obstacle height, trajectory / path, time
Classification
798.26(043.3)
Subject
S 273
Type
Tekst
Abstract (en)
Introduction: Success in show jumping depends on multiple factors, with
theoretical insights obtained through notational analysis providing a foundation for
achieving advanced athletic performance. A limited number of authors have
investigated and published studies related to performance analysis in show jumping,
emphasizing its importance and the need for broader integration into competitive
practice. The results of such analyses may offer predictive value in enhancing
performance outcomes. The available literature on show jumping lacks research
aimed at examining outcomes across different obstacle types and competition
categories, particularly in relation to errors (as performance indicators) and their
predictive influence on final results during the main phase of competition. The aim
of this study was to determine the differences in notational analysis parameters
among elite riders and their association with performance outcomes at the “2022
Balkan Equestrian Championship” in show jumping.
Method: The necessary data were collected during the “2022 Balkan Equestrian
Championship” in show jumping, held in Romania from September 7 to 11, 2022,
with participation from the national teams of Albania, Bulgaria, Greece, Cyprus,
North Macedonia, Romania, Serbia, Turkey, and Croatia. A total of 7285 jumping
actions were analyzed across 512 competition starts, performed by male and female
athletes across five competitive categories: children, juniors, young riders, female
riders (amazons), and seniors. The selected performance indicators for this study
included: successful jump over an obstacle, knockdown of an obstacle, water jump
fault, first and second refusal, first and second closed circle between two consecutive
jumps, rider and/or horse fall, time penalties for each commenced second exceeding
the allowed time, exceeding the maximum allowed time, incorrectly jumped
obstacle, and elimination or withdrawal from the competition. The categorical
variables considered were: type of obstacle, type of competition, obstacle height,
obstacle width, competitor category, rider’s gender, event number, phase of the
competition, curved approach to the obstacle, type of distance, round timing, and
horse-related data. Notational recording of performance indicators was conducted in
real-time during each competitor's performance. All collected data were processed
using the statistical software package SPSS version 19. Descriptive parameters were
calculated through the application of descriptive statistics, while the distribution of
values was examined using the Kolmogorov–Smirnov test. The Wilcoxon signedrank
test was used to assess differences in values of the same samples measured at
two time points. The Friedman test was used to examine differences within the same
samples measured on three or more occasions. When statistically significant
differences were identified, the Wilcoxon signed-rank test was additionally applied
to further analyze the differences. The Mann–Whitney U test was used to determine
differences in parameter values between two independent groups. The Kruskal–
Wallis test was applied to examine differences in parameter values across three or
more independent groups, and in cases of statistically significant results, post hoc
analysis using the Mann–Whitney U test was conducted to explore differences
between group pairs. The χ² test was used to examine the proportions of cases
belonging to different categories. Pearson’s correlation coefficient was used to
evaluate the relationships between variables. Standard multiple regression analysis
was employed to assess the predictive power of each independent variable on the
dependent variable. The confidence interval was set at 95% (95% CI), and the
threshold for statistical significance was p< 0,05.
Results: Knockdowns occurred with varying average frequency depending on the
type of obstacle, with the results confirming that flat oxers and verticals were, on
average, significantly more frequently knocked down compared to light oxers, triple
bars, and obedience jumps. First refusals were more frequently recorded at flat oxers
and verticals, although without a statistically significant difference between them
(Sig=0,194). Falls of the rider and/or horse were extremely rare and showed no
significant differences among obstacle types (Sig≥0,180); they were recorded only
at verticals, flat oxers, large open water jumps (Mean=0,00; SD=0,062), and
liverpools, while no falls were observed at light oxers, triple bars, or obedience
jumps. When comparing parameter values between competitions judged under Table
A and Table C formats, significantly higher success in faultless obstacle clearance
was observed in Table A events (Sig=0,000), along with significantly fewer
incidents of incorrectly jumped obstacles (Sig=0,020). The results of this study
revealed statistically significant differences between age categories in the
parameters of successfully cleared obstacles (Sig=0,003), water jump faults
(Sig=0,000), and time penalties (Sig=0,017). Furthermore, female riders, in
comparison to male riders, recorded significantly higher values in the parameters of
first refusal (Sig=0,001), time penalties (Sig=0,030), and eliminations or
withdrawals from the competition (Sig=0,049). The results from the first, second,
and third competitions indicated statistically significant differences (Sig<0,05) in
the parameters of successfully cleared obstacles (Sig=0,010), water jump faults
(Sig=0,000), and time penalties (Sig=0,000). Significant differences were also
calculated between the thirds of the competition rounds in terms of successfully
cleared obstacles (Sig=0,000), knockdowns (Sig=0,001), and water jump faults
(Sig=0,000). A significantly higher incidence of water jump faults, as well as first
and second refusals, was recorded when the approach was made from a left turn
compared to a right turn (p≤0,024). In this study, straight-line distances, as compared
to curved-line approaches, resulted in a significantly higher average of successfully
cleared obstacles (Sig=0,000), along with significantly fewer faults in the parameters
of water jump refusals (Sig=0,000), first refusals (Sig=0,041), and second refusals
(Sig=0,002). On average, water jump refusals and first refusals occurred
significantly more often (Sig=0,000) in rounds where the allowed time was
exceeded. Knockdowns at each individual obstacle type were found to be
statistically significant predictors (Sig≤0,017), with varying impacts on the total
number of penalty points. First refusals at different types of obstacles showed a
strong overall correlation with total penalty points (R=0,580ᵃ), explaining 33,6% of
the total variance in penalties recorded during the main phase of competition. Within
this model, the most dominant predictors were first refusals occurring at verticals
and flat oxers, with moderate influence, accounting for 10,63% and 11,83% of the
total variance in penalty points, respectively.
Conclusion: Different competition formats, rider gender, obstacle heights, rider
categories, and approach trajectories induce significant differences across certain
performance parameters. In general, it can be concluded that different obstacle
constructions impose varying psychophysical demands, resulting in differences in
the frequency of errors depending on the type of obstacle. Consequently, these
obstacles exhibit varying degrees of influence and predictive power on the final
outcome, specifically in terms of total penalty points accumulated during the main
phase of the competition. The most frequent errors observed were knockdowns, first
refusals, water jump faults, and time penalties. Verticals and flat oxers were
identified as the most challenging obstacles. It can also be concluded that left-sided
and curved approaches present greater difficulty for riders.
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