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Uloga statistike kao znanosti u košarkaškom svijetu je svakim danom sve veća te značajno utječe na trenažnu pripremu same momčadi. Svrha ovog istraživanja je priložiti jedan statistički model vrhunske košarkaške momčadi pomoću 13 varijabli situacijske učinkovitosti. S 344 utakmice iz 11 sezona elitnog europskog natjecanja dobiti ćemo detaljan uvid u statističke vrijednosti vrhunske košarkaške momčadi. U radu ćemo analizirati momčad Real Madrida čiji je trener kroz svih 11 sezona bio španjolski stručnjak Pablo Laso. Statistički predložak momčadi koja je konstantno u europskom vrhu, dopunjen dosadašnjim istraživanjima koja se bave utjecajem varijabli situacijske učinkovitosti na uspjeh, može biti od velike pomoći trenerima prilikom kreiranja trenažnog procesa., The role of statistics as a science in basketball world is growing each day and is affecting the training process of a basketball team. Aim of this study is to show a statistics model of the elite basketball team with 13 variables of situational efficiency. With 344 games from 11 seasons in elite european competition we will get a closer look into statistic values of elite basketball team. In this paper we will analyze Real Madrid whose coach was Pablo Laso in all 11 seasons. Statistics model of a team who is constanstly in European top, added by previous researches whose aim was to determine the influence of each of 13 variables of situational effectivens on the end score, can be of great help to coaches while preparing a training process.

Cilj ovog rada je prikazati, usporediti i utvrditi postoji li statistički značajna razlika između određenih parametara situacijske efikasnosti vratara 1. HNL u prvih pet momčadi koje se bore za europsko natjecanje i drugih pet momčadi koje se bore za opstanak u ligi na kraju sezone 2020./2021. Odnosno utvrditi koliku vratar ima ulogu u samoj poziciji na tablici. Korištenjem programa Statistica odnosno korištenjem određenih metoda u programu (T-test, deskriptivna statistika) utvrđena je razlika situacijske efikasnosti vratara prvih pet klubova na tablici koji se primarno bore za kvalifikacije europskih natjecanja te vratara zadnjih pet klubova na tablici koji se primarno bore za ostanak u ligi. Obrađeni podaci jasno pokazuju statistički značajnu razliku u 7 od 9 korištenih varijabli, a to su: ukupan broj udaraca, udarci u okvir vrata, primljeni pogoci, utakmice bez primljenog pogotka (cleansheet), obrane vratara, postotak obrana te očekivani broj primljenih pogodaka. Nije zapažena statistički značajna razlika u dvije varijable, a to su broj dodavanja i postotak točnih dodavanja. Iz korištenih parametara vidimo da vratari koji igraju u boljim klubovima odnosno klubovima u prvoj polovici tablice imaju i znatno manje doticaja s loptom u smislu da imaju nešto manje udaraca u okvir gola nego momčadi u donjem dijelu tablice. Također i broj očekivanih primljenih pogodaka je nešto niži kod vratara u gornjem dijelu tablice. The aim of this research is to show, compare and determine whether there is a statistically significant difference between certain parameters of situational efficiency of the 1st HNL goalkeeper in the first five teams fighting for European competition and the other five fighting for survival in the league at the end of the 2020./2021.season. Also determine how much the goalkeeper has a role in the position itself in the table. Using the Statistica program and also using certain methods in the program (T-test, descriptivestatistics), the difference between the situational efficiency of the goalkeepers of the first five clubs in the table who primarily fight for qualifications for European competitions and the goalkeepers of the last five clubs in the table who primarily fight for survival in the league was determined. The processed data clearly show a statistically significant difference in 7 of the 9 variable used, namely: total number of shots , shots on goal, goals conceded, matches without conceded goal(clean sheet), goalkeeper defenses, percentage of defenses and expected number of conceded goals. No statistically significant difference was observed in the two variables, namely the number of passes and the percentage of correct passes. From the used parameter we see that the goalkeeper who plays in better clubs or clubs in the first half of the table have significantly less contact with the ball in the sense that they have slightly fewer shots on goal than teams in the lower part of the table. Also, the number of expected goals scored is slightly lower for the goalkeeper at the top of the table.

Th e purpose of the present study was to investigate the eff ects of exponential and linear tapering protocols on the distance covered according to playing positions among junior elite soccer players. One-hundred and fi ft y-eight junior elite soccer players (mean age: 17.07±0.79 years ; mean height: 177.85±6.64 cm ; mean weight: 71.27±7.96 kg ; mean body-mass index: 22.50±1.66 kg/m²) were randomly selected into two groups: (1) exponential and (2) linear tapering group. Training sessions were conducted three times a week for eight weeks. Aft er four and eight weeks of the tapering period, participants were measured in the distance covered according to four basic playing positions on the fi eld: (1) goalkeepers, (2) defenders, (3) midfi elders, and (4) forwards. Th e results showed that the largest eff ects between the pre- and post- measurement had defenders in the exponential and goalkeepers in the linear group, goalkeepers in the distance covered by slow and medium running in both groups, forwards in fast running and sprinting in the exponential group, and midfi elders in the linear group. In conclusion, our results suggest that the exponential tapering protocol brought somewhat larger eff ects, especially in fast running and sprinting in forwards and slow and medium running in goalkeepers. Future studies need to implement both the exponential and the linear tapering protocols in order to enhance performance but favouring the exponential to produce larger eff ects.

Na turniru Australian Open se igra na tvrdoj, brzoj podlozi (Plexicushion Prestige), te tijekom svakog pojedinog teniskog susreta postoji veliki broj faktora koji utječu na konačan rezultat. Stoga se ovim istraživanjem nastoje utvrditi razlike u parametrima situacijske uspješnosti središnjega i završnoga dijela poena između tenisačica pobjednica i poraženih na Australian Openu 2016.godine. Istraživanjem su analizirane statistike pobjednica i poraženih na 127 odigrana susreta na Australian Openu 2016. godine i dobivena je statistika 42 varijable koje utječu na uspješnost u tenisu na temelju obrade podataka iz prva dva seta, tijekom prvog, drugog, trećeg i četvrtog kola te četvrtfinala,polufinala i finala. Mjerenjem su dobiveni rezultati koji su zabilježeni kroz šest varijabli na temelju sedam teniskih udaraca, a to su: skraćeni udarci, udarci s osnovne linije, pasing udarci, prilazni udarci, lob udarci, smeš udarci i volej udarci. U dobivenim rezultatima istraživanja pojavljuje se sedam varijabli koje statistički značajno razlikuju pobjednice od poraženih. Pobjednice ostvaruju više izravnih poena u igri s osnovne linije u odnosu na poražene, te ostvaruju manje prisiljenih i neprisiljenih pogrešaka. Također, pobjednice više koriste pasing udarce i na taj način postižu više poena. The tournament Australian Open is played on hard, fast surface (Plexicushion Prestige), and during each tennis match there are a number of factors that influence the final result. Therefor, this study attemps to analyze the differences in the parameters od situational efficiency in rally statistics between winners and defeated women players on Australian Open 2016. The research analyzed statistics of winner and defeated players at 127 played match on Australian Open 2016. and we got statistics of 42 variables that influence tennis efficiency based on the processed of data from the first two sets, the first, second, third and fourth round and quarterr-finals, semi-finals and finals. Findings were collected through measuring six variables of seven tennis shots: drops shots, ground shot, passing shots, approach shots, lobs, smashes and volleys. In the research results, appears seven variables that differ significantly winners from losers. Winners earn more direct points in the game from the baseline in relation to the defeated, and generate less forced and unforced errors. Also, the winners more use pasing shots and thus achieve more points.