Introduction
Women’s football is rapidly evolving in many areas, with the latest report from the Fédération Internationale de Football Association [1] highlighting significant advancements, including the demand for higher coaching qualifications, the establishment of youth academies for girls, increased broadcasting revenue, and improved player salaries. These developments demonstrate the growing professionalism and global reach of the sport, especially at the elite level. In addition, modern elite women’s football is becoming more physically demanding, with more intense running periods across various playing positions [2, 3].
Recent advances in performance measurement technologies, such as Global Positioning Systems (GPS) and optical tracking systems, have improved physical condition assessment in football. These technologies enable precise measurements of key performance metrics such as running distances, intensities, and acceleration profiles [4–7]. In addition, new technologies, such as optical tracking systems, enable even more specific and intensive tracking and analysis of performance [8].
According to Pons et al. [9], both GPS devices and optical tracking systems in football are an invaluable tool for assessing the performance of players during a match. For example, they provide real-time data on key performance metrics like total distance covered, high-intensity running, and acceleration profiles, allowing coaches to make tactical adjustments, such as substituting players who show signs of reduced running capacity. In addition, the comprehensive insights into performance that these systems provide facilitate the development of evidence-based training programs aimed at improving physical conditioning, optimizing tactical execution, and enhancing overall team and individual performance.
Coaches are increasingly relying on science-based data to understand the physical demands of football. The data forms the basis for the development of well-structured training sessions, such as cardiorespiratory fitness programs, which aim to improve players’ ability to sustain repeated high-intensity actions throughout a match [10, 11]. Scientifically-based monitoring techniques, such as heart rate (HR) monitoring, GPS tracking, and lactate testing, provide valuable insights into players’ physical performance [12], helping to identify critical performance factors. With this information, coaches can design training programs that address the key determinants of football performance [13].
Cardiorespiratory fitness is a fundamental component of physical performance in football, alongside strength, speed, and coordination [14]. It is thought to significantly impact peak performance, as it supports sustained high-intensity running during the game and prevents a decrease in performance intensity as the game progresses [15]. In both women’s and men’s football, players perform various high-intensity activities throughout the game, such as short sprints, kicks, jumps, and tackles, all of which require high levels of anaerobic fitness [12]. The gold standard metric for assessing a football player’s aerobic capacity is maximal oxygen consumption (
The 30–15 intermittent fitness test (30–15 IFT) is one of the most commonly used methods for assessing cardiorespiratory fitness in football and other team sports [20–24]. Quantifying improvements in fitness tests of this type is crucial for accurately monitoring player development in sport-specific contexts. In football, for example, the ability to sustain high-intensity sprints in the final minutes of a game is crucial [24], as this can directly impact the outcome of a match. Similarly, measuring recovery time between repeated high-intensity efforts, such as sprinting, tackling, or pressing, is vital for understanding endurance and capacity for recovery [25].
Tests that measure aerobic capacity and lactate threshold are often used to assess endurance and recovery ability between efforts, both of which are critical for maintaining peak performance in football. Muscle buffer capacity and aerobic fitness are associated with repeated-sprint ability in women [26]. While tools exist to measure fatigue and recovery, accurately distinguishing between normal fatigue, overreaching, and true overtraining remains complex due to individual variability and limited definitive diagnostic criteria [27].
The structured 30–15 IFT effectively mimics many physical demands regarding aerobic and anaerobic capacity and is believed to provide a reasonably valid estimate of 
Clemente et al. [32] noted that the 30–15 IFT is particularly demanding, as it requires athletes to exercise at a high intensity, making it more challenging than similar field tests. Furthermore, Clemente et al. [32] highlighted that the 30–15 IFT is very similar to the movement demands of football training sessions and matches, which further increases its validity for the assessment of football performance, while Stanković et al. [33] confirmed its high reliability in team sport athletes.
However, there is still insufficient evidence on whether laboratory or field tests provide comparable 
The study compared 
Material and methods
Participants
Fifteen female football players (age = 24.4 ± 5.7 years, height = 166.5 ± 6.2 cm, weight = 59.9 ± 6.0 kg), all members of the Slovenian senior national team, were recruited for this study. All participants volunteered to take part following an invitation. The players were selected based on their active participation in major international competitions, including the World cup, European qualifiers, and friendly matches. According to the McKay classification Scale [38], all participants were categorised as elite athletes based on their participation in high-level international competitions. The sample consisted of six midfielders, four attackers and five defenders, so various outfield playing positions were represented. Participants were included in the study if they met the criteria of no injury within the six months prior to recruitment, no current musculoskeletal pain, and no previous diagnosis of chronic musculoskeletal, metabolic, pulmonary, neurological, or cardiovascular disease.
Assessment methods
All tests were conducted indoors at two different facilities, a physiology laboratory and a larger hall (with a tartan surface) at the Faculty of Sport, University of Ljubljana, Slovenia. Controlled and constant environmental conditions prevailed in both locations. In the laboratory, the temperature was 21°c and 50% humidity, and in the hall, these values were recorded as 23°c and 45%, respectively. The tests took place at the beginning of the off-season (June), outside of the regular competition schedule. All measurements with the same 15 participants were conducted randomly between 8:00 and 11:00 am, with a standardised three-day recovery period between the two tests. In addition, participants were instructed to refrain from intense physical activity 24 hours before the test, with the last exercise session taking place no less than 12 hours before the test. To ensure that participants were adequately prepared, the test procedures were explained and demonstrated in detail by experienced members of the research team. The standardised warm-up protocol included a 10-minute moderate running session followed by 5 min of dynamic stretching and ended with specific preparatory exercises tailored to the treadmill and 30–15 IFT protocols.
Anthropometric measurement
For anthropometric measurements, a vertical stand and a scale anthropometer (GPM Model 101, Zürich, Switzerland) were used to measure body mass and height to an accuracy of 0.1 kg and 0.1 cm, respectively. A further determination of body mass was performed by multifrequency bioelectrical impedance (InBody 720; Biospace Co., Ltd., Seoul, South Korea), which also has an accuracy of 0.1 kg. Fat mass, body fat percentage, skeletal muscle mass, and total body water were also determined through bioelectrical impedance using the manufacturer’s internal methodology, which was previously described [39].
Incremental treadmill test
Gas exchange variables and ventilatory parameters were continuously measured throughout all tests using a metabolic cart (Quark CPET; Cosmed, Rome, Italy). Before each test, the metabolic cart was calibrated using a known gas mixture within the expected ranges of O2 and CO2 concentrations (16% and 5%, respectively), and airflow calibration was performed using a 3 l syringe (Cosmed, Rome, Italy). HR was also continuously recorded using a standard Polar H7 HR monitor (Polar Electro, Kempele, Finland). After a five-minute baseline measurement while standing on the treadmill (HP Cosmos, Nussdorf, Germany), participants ran at 8 km/h at an incline of 1% to warm up [40]. The speed was then increased by 1 km/h every two minutes until volitional exhaustion. 
30–15 intermittent fitness test
Cardiorespiratory fitness was also assessed using the 30–15 IFT, which consists of intermittent, incremental shuttle runs [44]. The test began with a 30-second run at 8 km/h followed by 15 s of active recovery. Running speed increased by 0.5 km/h every 30 s. Participants ran back and forth over 40 m between two lines at a pace dictated by a pre-recorded beep, with adjustments made based on when they passed through the three-metre zone. HR was continuously monitored throughout the test using a Polar H7 HR monitor (Polar Electro, Kempele, Finland). The test was terminated if the participants could no longer maintain the required running speed or reach the three-metre zone on three consecutive occasions. The MRS was determined as the speed of the final successful stage [44]. 
Statistical analysis
The data were processed using SPSS 29.0 for Windows (IBM Corp., NY, USA). The analysis included descriptive statistics with mean ± standard deviation (SD) and 95% confidence interval (CI). Pearson’s product-moment correlation coefficient (r) determined the relationships between associated variables. The statistical significance of the results was accepted at p < 0.05. The intraclass correlation coefficient (ICC) was used to assess the reliability of the individual 
Results
Table 1 provides an overview of the anthropometric characteristics of the participants.
Table 2 summarises the results of the performance tests. The mean MRS treadmill speed (MRS_treadmill) was 13.4 km/h, and the 
Table 1
Participant demographic and anthropometric characteristics
Table 2
Descriptive statistics for MRS_treadmill, MRS_IFT, 
Table 3
Pearson’s correlation coefficients (r), significance levels (p), and number of participants (n)
Pearson’s correlation analysis (Table 3) revealed a significant positive correlation between MRS_tread-mill and 
Discussion
The study aimed to compare the laboratory-based 
Although the laboratory test values were slightly lower on the treadmill, this discrepancy is likely due to different environmental conditions and exercise protocols. Research shows that various exercise testing protocols can lead to different 
The secondary aim of this study was to evaluate the practicality of the 30–15 IFT as a reliable alternative to the laboratory treadmill test for 
Practical implications
The results of this study have significant practical implications for coaches and practitioners working with elite female football players, particularly in environments where laboratory-based testing is not available. The study demonstrates that the 30–15 IFT is a valid and practical alternative for assessing cardiorespiratory fitness in the field. This is particularly valuable for coaches who require efficient on-field testing methods to monitor player fitness without the need for specialised laboratory facilities. Maintaining a high level of cardiorespiratory fitness is crucial for optimal endurance, as it enhances the ability to sustain high-intensity efforts and recover efficiently during competitive matches and training. Since football requires frequent high-intensity actions, interspersed with short recovery periods, coaches can use the 30–15 IFT results to effectively track the fitness levels of players and thus make data-driven decisions to optimise training programmes and ensure they are tailored to the specific demands of the sport.
The observed variability in running speeds between players underscores the importance of personalised fitness interventions. Individual factors, such as training history, fitness level, and position-specific requirements, must be taken into account when developing training strategies. In particular, national team players, who usually play at elite-level international clubs, may have a different fitness profile than regular first-division club players. Mäkiniemi et al. [12] demonstrated that national team players are often exposed to more intense and varied fitness demands due to the higher level of competition and frequency of international matches. These special circumstances can lead to different training loads and recovery protocols than for first-division players, making it important for coaches to adapt training programs accordingly. The strong correlation between HR responses in both the treadmill test and the 30–15 IFT is crucial for assessing the validity of the field test and indicates that HR can also be used as a reliable surrogate for 
Limitations
Although this study has provided essential insights, several limitations must be considered. The relatively small and homogenous sample may limit the generalis-ability of the results to a larger and more varied population of female football players. In this regard, future studies should examine such results in larger heterogeneous samples to ensure their robustness across different playing levels. However, the objective of this particular study was to assess the results explicitly in elite-level athletes, and the findings thus remain internally valid. With regard to future studies, the development of a combination of field-based tests, such as the 30–15 IFT, in conjunction with other performance measures, which may include sprint performance and agility tests, would be a worthwhile avenue for further exploration. Such studies would fully represent all factors involved in the game of football.
Conclusions
The study confirmed that the 30–15 IFT is a valid and practical method for measuring cardiorespiratory fitness in elite female football players, making it a viable alternative to the laboratory-based treadmill test. Previous studies support this conclusion (44), though this is one of the few that have validated the 30–15 IFT in elite female national team football players. The results provide valuable insights into the practical application of different testing methods to assess and monitor the performance of elite female athletes and provide important guidance for coaches and sports scientists in optimising performance evaluation.
 
												
