Journal of Human Kinetics volume 662019, 131-141 DOI: 10.2478hukin-2018-0053 131 [631701]

Journal of Human Kinetics volume 66/2019, 131-141 DOI: 10.2478/hukin-2018-0053 131
Section III – Sports Training

1 – Department of Aquatic Sports, School of Physical Educatio n and Sports Science, University of Athens, Athens, Greece.

Authors submitted their contribution to the article to the editorial board.
Accepted for printing in the Journal of Human Kinetics vol. 66/2019 in March 2019.
Training Loads, Wellness And Performance Before
and During Tapering for a Water-Polo Tournament
by
Petros G. Botonis1, Argyris G. Toubekis1, Theodoros I. Platanou1
We investigated the effectiveness of a short-duration training period incl uding an overloaded (weeks 1 and 2)
and a reduced training load period (weeks 3 and 4) on welln ess, swimming performance and a perceived internal training
load in eight high-level water-polo players preparing for pl ay-offs. The internal training load was estimated daily using
the rating of perceived exertion (RPE) and session duration (session-RPE). Perceive d ratings of wellness (fatigue, muscle
soreness, sleep quality, stress level and mood) were assessed daily. Swimming performance was evaluated through 400-
m and 20-m tests performed before (baseline) and after the end of weeks 2 and 4. In weeks 3 and 4, the internal training
load was reduced by 19.0 ± 3.8 and 36.0 ± 4.7%, respectively, compared to week 1 (p = 0.00). Wellness was improved in
week 4 (20.4 ± 2.8 AU) compared to week 1 and week 2 by 16.0 ± 2.2 and 17 .3 ± 2.9 AU, respectively (p =0.001). At the
end of week 4, swimming performance at 400-m and 20-m tests (299.0 ± 10.2 and 10.2 ± 0.3 s) was improved compared to baseline values (301.4 ± 10.9 and 10.4 ± 0.4 s, p < 0.05) and the overloading training period (week 2; 302.9 ± 9.0 and 10.4 ± 0.4 s, p < 0. 05). High correlations were observed between the perc entage reduction of the internal training load
from week 4 to week 1 (-25.3 ± 5.5%) and the respective changes in 20-m time (-2.1 ± 2.2%, r = 0.88, p < 0.01), fatigue perception (39.6 ± 27.1%), muscle soren ess (32.5 ± 26.6%), stress levels (25.6 ± 15.1%) and the overall wellness scores
(28.6 ± 21.9%, r = 0.74-0.79, p < 0.05). The reduction of the internal training load improved the overall perceived wellness
and swimming performance of players. The aforementioned p eriodization approach may be an effective training strategy
in the lead-up to play-off tournaments.
Key words : team-sports, water polo training, fatigue, recovery.

Introduction
High-level water-polo players participate
in a prolonged competitive period including pre-season and in-season trai ning. Especially during
the in-season period, high-level players participate in an official match almost every week and train up to nine times per week (Lupo et al., 2014b). In most of the European Leagues, the competitive period is
organized in two phases. In the first phase, all
teams compete against each other twice, aiming at adding victories to classification. In the second phase, only the top classified teams compete in a play-off tournament requiring participation in a series of critical matches within a period of about fifteen days for the nomination of the champion

team. As such, elite water-polo players need to
maintain high levels of performance throughout the season achieving their peak performance in the play-offs.
Empirical evidence suggests that peak
performance in the play-offs is expected after a taper training cycle aiming to maximize players’
physical abilities while reducing the likelihood of
fatigue (Mujika, 2009). This should be achieved by manipulating the training loads in the period between the first (competitive period) and the second phase (play-offs) of the season when it is possible to apply two sh ort-duration phases
including overloading and a subsequent training

132 Training loads, wellness and performance before and during tapering for a water-polo tournament
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load reduction (i.e. taper) as it is applied in individual sports (Bosquet et al., 2007). In individual sports, several studies have shown
paradigms leading to performance improvements
prior to competition (i.e. taper; Aubry et al., 2014).
Despite the large amount of research
related to training peri odization and performance
in team-sports (Gabbett and Domnrow, 2007; Gaudino et al., 2015; Manzi et al., 2010), limited data are available regarding planning of effective
tapering strategies leading to performance
enhancement prior to compet ition (Freitas et al.,
2014; Nunes et al., 2014). In water-polo, the existing scientific literature is ma inly related to heart rate
measures obtained during tr aining (Botonis et al.,
2015; Lupo et al., 2014a) and validity of the heart rate as a means to estimate the internal training
load (Lupo et al., 2014a). Given that players
participate in an extensive year-round competitive period, careful monitoring of training is required for effective tapering when approaching the period of play-offs. However, there is limited valid information concerning planning of training the
weeks before play-offs.
Monitoring the post-session rate of
perceived exertion (s ession-RPE) has been
provided as a valid method for internal training
load (ITL) quantification and this has been effectively applied in water-polo (Lupo et al., 2014a) as well as in swimming (Barroso et al., 2014)
and dry-land team-sports (Buchheit et al., 2013;
Coutts and Reaburn, 2008; Moreira et al., 2015). Furthermore, monitoring training monotony and strain (Anderson et al., 2003) along with wellness
(Saw et al., 2015) and performance, assures a more comprehensive view of each player’s physical status. Despite this approach provides valuable
information to the coach, it is not clear whether an
imposed external load will be effectively reflected in the internal load perceived by players of team-sports such as water-polo, where the imposed internal load may vary significantly between players due to the diverse range of training activities commonly employed. In this case,
revealing any dissociation between the external
and internal load may protect players from inappropriate loading.
Whatever the case, the practical
application of the external load manipulation and its influence on changes of the internal load and performance has never been previously examined.

Moreover, although the session-RPE method has often been criticized for weaknesses, its practical applicability and usefulness to measure the ITL
overcomes them (Impellizzeri et al., 2004). As none
of the methods used to qu antify training loads can
provide an accurate calculation of the ITL (all methods just estimate the training load), further
research concerning this issue should be conducted in water-polo. The findings of the study would help coaches to design effective training plans
aiming at maximizing water-polo performance.
Therefore, the aim of the current study was to examine the effects of a planned short duration period including an overloading training phase (2 weeks) and a progressive training load reduction phase (tapering; 2 weeks) on the ITL, wellness variation and sport-specific swimming
performance in high-level water-polo players. It
was hypothesized that changes in the external load through daily training volume manipulation
would be related to internal load changes and performance indices during a short period in high-level water-polo players.
Methods
Participants
Eleven male outfield water-polo players
with a minimum of 5.6 ± 3.9 years of playing experience in the top level Greek league, volunteered to participate in the study. Three of them did not reach the compliance rate of 80% due
to illness or injury and were excluded from final
data analysis. As a result, eight athletes (age: 25 ± 7 years; body height: 181 ± 5 cm; body mass: 84 ± 7 kg) completed the study. Before commencing the study, the players participated in the regular season and finally were classified at the second position of the national league ranking. At the end
of the in-season period, all players participated in
seven training sessions per week covering an average weekly volume of 572 ± 15 min (Table 1). However, during the pre-season period the same players participated in eight to ten training sessions per week approaching a volume of about 900 min (15 h per week). All participants provided
a written informed consent form before the
commencement of the study. The study was approved by the Faculty review board and conformed to the Declaration of Helsinki.
Measures
The ITL was measured using the session-

by Petros G. Botonis et al. 133
© Editorial Committee of Jo urnal of Human Kinetics
RPE for all training sessions and matches. The session-RPE was derived by asking each player “How intense was your session/match? ” according to
the Borg’s CR-10 scale, where 0 = nothing at all and
10 = very very hard (Foster et al., 2001), 30 min after each training session or match. Players were asked to ensure that their rating of perceived exertion (RPE) referred to the intensity of the whole session rather than the most recent exercise completed. A fifteen-day period was used for familiarization
with the RPE scale before the commencement of
the experimental data collection. The quantification of the ITL was calculated by multiplying training intensity (i.e. session-RPE) by the training session or match duration. Training intensity was divided into three zones according to the Borg CR-10 RPE scale (low, ≤ 4 AU; moderate,
above 4 and below 7; and high > 7) (Moreira et al.,
2015).
The duration of training sessions included
the entire session (from warm-up to cool down activities), whereas for matches, individual playing time was used including all stops (game
stops, injury stops and ti me-outs). The individual
ITL was computed on a daily basis and the average session-RPE of the week was calculated. The sum of all training sessions of the week was computed to obtain the weekly training load. Moreover, the monotony was calculated by dividing the mean individual internal training load by the standard
deviation of the weekly internal training load and
the physiological strain imposed on players was calculated by multiplying the monotony to the mean weekly load (Foster et al., 2001). A
psychometric questionnaire (Hooper and
Mackinnon, 1995) was us ed to assess general
indicators of players’ wellness. The questionnaire
was comprised of five questions related to
perceived fatigue, sleep quality, general muscle soreness, stress levels and mood with each
question scored on a five -point scale (McLeanet al.,
2010). The questionnaire was completed daily upon awakening and concerned the preceding daily training load. The ov erall wellness was then
determined by summing the five scores.
Two days before the commencement of the
intervention (baseline) as well as one day after the end of overloading and tapering phases, players’ performance was evaluated through 400-m and 20-mswimming performanc e tests. The above
mentioned tests have been suggested as water-

polo-specific performance in dexes (Botonis et al.,
2016; Ramos Velizet al., 2014) reflecting players’
ability to maintain physical and technical
performance within a match (400 m) and their
anaerobic power and speed (20 m). Participants performed both tests in pairs to ensure a motivated effort with the race start in the water. Two of the investigators with more than 10 years of time-keeping experience in swimming events served as time keepers in all occasions (Eagle, Accusplit,
California, USA).
Procedures
Towards the completion of the first phase
of the championship (in-season period), a four-
week training mesocycle that preceded the start of
play-offs was applied and divided into two distinct
phases with different training content and loading:
the first period (overloading phase; weeks 1 and 2) and the second period (tapering; weeks 3 and 4).
This four-week training program was designed in
cooperation with the head coach of the club in to
maximize swimming perf ormance of the water-
polo players and to help them reach competitive
readiness. During weeks 3 and 4, the training load
was intentionally and progressively decreased. This was achieved by a day to day manipulation of
the external training volume and intensity as it is
described in the following paragraph.
During the in-season period, the training
program was designed and conducted by the head coach with no input from the researchers. The program habitually consis ted of seven training
sessions, each lasting up to 90 min, including strength and conditioning sessions, as well as technical and tactical training. Regularly, one
official match was played at the end of each week.
Two weeks before thecompletion of the in-season period, an overload training program was imposed on the players. In partic ular, training frequency
was increased to 9-11 sessions per week, each lasting from 60 to 90 min. Compared to previous
habitual training, the pres cribed training volume
in week 1 and 2 of overloading training was increased by 52.0 ± 5.9 and 36.0 ± 1.7%, respectively. Regarding intensity, 60% of all sessions were rated as moderate and 33% as of high intensity. Morning training sessions included dry-land or in-water strength and conditioning
sessions. Afternoon sessions included water-polo

134 Training loads, wellness and performance before and during tapering for a water-polo tournament
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specific drills (technical and tactical training). The selected players also participated in one friendly match at the second week of investigation. One
day-off was given both at week 1 and 2,
respectively (Table 1).
The average training volume of weeks 3
and 4 (taper phase) was reduced by 25.8 ± 2.6%
compared to weeks 1 and 2 (overload phase).
Strength and conditioning training was reduced
and more training time was devoted to
technical/tactical preparation as well as friendly matches. Accordingly, training intensity was
increased with 36% of the sessions being rated as
moderate and 57% as of high intensity. A two-day
rest was given to the players at the fourth week of
training (Table 1). Statistical Analysis
Before using parametric statistical test
procedures, the normality of the data was verified by the Shapiro-Wilk test. Analysis of variance for repeated measurements on dependent samples was employed to detect differences between training phases in exercise performance, ITL,
overall wellness, monotony and strain. A Tukey
post-hoc test was used for multiple comparisons. Standardized differences in means (effect sizes, d) were computed for pairwise comparisons. As a measure of effect size the Cohen’s d was calculated
dividing the difference between sample means by the standard deviation of difference scores. The
magnitude of each effect size was classified as
trivial ( d < 0.2), small ( d = 0.2–0.6), moderate ( d =
0.6–1.2), large ( d = 1.2–2.0), very large ( d = 2.0–4.0),
and extremely large ( d > 4.0) (Hopkins, 2010). The
correlation coefficient (r) was used to test the associations between changes ( Δ) in performance
variables and the respective changes in the ITL,
wellness, sleep quality, fatigue perception, muscle
soreness, stress level and mood state across the training weeks. The results are presented as means ± standard deviations (SD) and statistical significance was set at p< 0.05.
Results
The weekly ITL, strain, monotony and
wellness are presented in Table 2 and daily
variation of the ITL and wellness is depicted in Figure 1. In weeks 3 and 4, the ITL was reduced compared to week 1 by 19.0 ± 3.8 and 36.0 ± 4.7%, respectively ( p = 0.00, d = 24.01 and p = 0.00, d =

34.09, respectively). In week 4, the ITL was lower compared to all previous weeks (Table 1). Similarly, both physiological strain and monotony
were greater in week 1 compared to all subsequent
weeks ( p = 0.001 and p = 0.001, Table 1) and no
differences were observed between weeks 2, 3 and 4 (p> 0.05, Table 2).
Furthermore, wellness scores were
increased as training phases progressed ( p< 0.001,
Table 2) being higher in the tapering than
overloading phase ( p = 0.001, Table 2). Perceived
wellness was alike between week 1 and week 2 ( p
= 0.38, d = 0.49) and also similar between week 2
and week 3 ( p = 0.23, d = 0.94). Additionally, players
reported greater wellness scores throughout week 4 compared to weeks 1 and 2 of the overloading phase ( p = 0.001, d = 1.46 and p = 0.001, d = 2.28,
respectively), but similar to those displayed in
week 3 ( p = 0.23, Table 2).
Players’ swim performance time is
depicted in Figure 2. No differences were found between the mean 400-m and 20-m swim times when the baseline values and those from the end of
the overloading training period were compared ( p
= 0.19, d = 0.55 and p = 0.89, d = 0.22, respectively).
On the other hand, 400- m swim performance was
improved by 0.8 ± 0.6 and 1.3 ± 0.8% at the end of week 4 compared to baseline ( p = 0.03, d = 1.34) and
week 2 ( p = 0.00, d = 1.68). Likewise, 20-m
swimming performance improved by 2.1 ± 2.2 and
2.5 ± 2.8%, at the end of week 4 compared to
baseline ( p = 0.05, d = 0.95) and week 2 ( p = 0.02, d =
0.89).
Correlation coefficients between ITL changes
(%) and the respective changes in performance indices and wellness scores across the four-week training period are depicted in Table 3. A high
correlation was observed between the percentage
change (Δ%) in the ITL between weeks 4 and 1 ( Δ%
4-1) and performance change in the 20-m swim sprint in the same period (r = 0.88, p
= 0.00). The
respective 400-m time change was not related to Δ% 4-1 (r = 0.65, p = 0.09). Throughout training, the
daily ITL was moderately correlated with the
wellness score reported the following morning (r =
-0.45, p = 0.00).

by Petros G. Botonis et al. 135
© Editorial Committee of Jo urnal of Human Kinetics

Figure 1
Daily internal training load (upper panel a) and wellness scores (lower panel
b) throughout overloading (weeks 1 and 2) and tapering training
(weeks 3 and 4) (n = 8, mean ± SD).

Figure 2
Individual performance time for (a) 400 m swim and (b) 20 m swim at baseline and
at the end of overloading and tapering training phases. Τhe grey line represents mean values
for each testing period (n = 8). *: p ≤ 0.05 between tapering and baseline,
#: p ≤ 0.01 between tapering and overloading, †: p ≤ 0.05 between tapering and overloading.
02004006008001000120014001600
1 2 3 4 5 6 7 8 9 1 01 11 21 31 41 51 61 71 81 92 02 12 22 32 42 52 62 72 82 93 03 13 2Training Load (AU)
101214161820222426
123456789 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 2 0 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 9 3 0 3 1 3 2Wellness (AU)
Week 1 Week 2 Week 3 Week 4a
b
9.79.910.110.310.510.710.911.1*†275280285290295300305310315320325
Baseline Overloading Tapering400 m swim time (s) 20 m swim time (s)*#a
b

136 Training loads, wellness and performance before and during tapering for a water-polo tournament
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Table 1
Training characteristics and the mean sessi on rating of perceived exertion (RPE)
during two weeks of normal in-season training as well as in overloading (weeks 1 and 2)
and tapering (weeks 3 and 4) training phases (n = 8, mean ± SD).
Normal in-season
training Overloading training Tapering training
Week 1
Week 2
Week 3 Week 4
Weekly volume
(min) 572±15 870±0 778±27 654±21 569±11
Weekly Strength and
Conditioning training time (min) 210±11 475±23 435±30 165±33 165±29
Weekly Technical and
Tactical training time (min) 300±10 395±28 265±33 365±29 365±17
Matches (number)
2 – 2 3 1
Individual mean match
time (min/week) 31±11 – 39±13 41±9 39±11
Day-off
(number/week) 1 1 1 – 2
Mean RPE 6.91±0.51 6.69±0.96 6.97±0.40 6.85±0.41

Table 2
Internal training load, strain, monotony and overall wellness during overloading
(weeks 1 and 2) and tapering (weeks 3 and 4) training phases (n=8, mean ± SD).
d and p (within brackets) values of each comparison
Variable Week 1 Week
2 Week
3 Week
4 week
1-2
week
1-3
week
1-4
week 2-
3
week 2-
4
week 3-
4

Internal
training
load
(AU)
6026
± 501 5580
± 806 5519
± 366 3550
± 325 0.5
(1.0) 3.2
(0.00) 5.9
(0.00) 0.8
(0.36) 3.3
(0.00) 6.2
(0.00)
Strain
(AU)
2627
± 172 1472
± 455 1088
± 155 1316
± 227 2.0
(0.00) 5.5
(0.00) 4.2
(0.00) 1.1
(0.18) 0.4
(0.78) 1.2
(0.55)
Monotony
(AU)
3.1
± 0.3 1.8
± 0.4 1.8
± 0.2 2.1
± 0.3 2.3
(0.00) 3.1
(0.00) 2.6
(0.00) 0.1
(1.0) 0.6
(0.60) 0.9
(0.51)
Wellness
(AU)
16.0
± 2.2 17.3
± 2.9 18.9
± 2.9 20.4
± 2.8 0.5
(0.39) 0.6
(0.00) 1.5
(0.00) 0.9
(0.23) 2.3
(0.00) 1.2
(0.23)

by Petros G. Botonis et al. 137
© Editorial Committee of Jo urnal of Human Kinetics

Table 3
Correlation coefficients between pe rcentage changes in the int ernal training load (ITL)
and the respective changes in performance indices an d wellness scores during four weeks of training
in eight national-level water-polo players. Δ ITL 2-1: percentage change in the mean ITL between week 2
and week 1, Δ ITL 3-1: percentage change in the mean ITL between week 3 and week 1,
Δ ITL 4-2: percentage change in the mean training load between week 4 and week 2,
Δ ITL 4-1: percentage change in the mean training load between week 4 and week 1, * p < 0.05, ** p < 0.01.

Percentage changes (%) Δ ITL 2-1 Δ ITL 3-1 Δ ITL 4-2 Δ ITL 4-1
Δ 20 m %
0.31 – -0.21 0.88**
Δ 400 m%
0.32 – 0.11 0.65
Δ Wellness %
0.42 0.52 0.28 0.75*
Δ Sleep %
-0.13 -0.54 0.54 -0.65
Δ Fatigue %
-0.51 -0.41 0.27 -0.79*
Δ Soreness %
-0.68 -0.39 0.41 -0.78*
Δ Mood %
-0.08 -0.37 -0.64 -0.51
Δ Stress %
-0.23 -0.32 -0.23 -0.70*

High correlations were also observed between
the percentage reduction of the ITL (week 4-1) and the respective changes in fatigue perception, muscle soreness, stress levels and the overall wellness scores (r = 0.74 – 0.79, p< 0.05), while there
was a tendency for significance with the
percentage changes in sleep quality (r = -0.65, p =
0.08). Moreover, performance changes (week 4-1) in the 20 m and 400 m swims were highly correlated (r = 0.85, p = 0.001).
Discussion
The current study examined, in a real-
training setting, changes of the ITL, swimming
performance and wellness within a short period
leading to the national play-offs in one of the most competitive national water-polo championships worldwide. The main findings are that: a) a training load increase in the overloading phase deteriorated wellness scores, but had no significant detrimental effect on sport-specific performance
indices of the players compared to baseline; b) the
progressive, exponential reduction in training volume and frequency induced a meaningful decline in the ITL and subsequently improved wellness scores and sport-specific performance measures of the players at the end of the
intervention compared to baseline and the end of
overloading training; c) the change in 20-m sprint swim time (week 4 vs. week 1) was correlated with the respective change in the ITL.
In accordance with our initial hypothesis,
the ITL variation was aligned with the pre-programmed training phases of overloading and
reduced training volume. This coincides with
previous suggestions that session-RPE monitoring is a valid method for quantifying training loads in water-polo (Lupo et al., 2014a). Moreover, we showed that daily monitoring of players’ RPE along with recording specific training characteristics and subsequent wellness responses
of the players might be useful and practical tools

138 Training loads, wellness and performance before and during tapering for a water-polo tournament
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for practitioners aiming at teams’ competitive readiness before the commencement of critical matches. This is new and practically useful
information. The present findings suggest that an
appropriate manipulation of water-polo team-
training content the weeks prior to major competition may have positive effects on players’ sport-specific performance and recovery status.
In the current study, two weeks of post-
season intensified training were characterized by
increased physiological strain and monotony,
moderate to severe fatigue perception, increased muscle soreness as well as disrupted sleep quality. Despite that, overloading training resulted in a moderate descent of swimming performance in both the 400-m and 20-m swim times, suggesting that players responded adequately to the imposed
training loads in the first two weeks of this short
training cycle. Similar observations have also been reported in elite female swimmers (Raglin et al., 1996). In contrast, Coutts and Reaburn (2008) observed that the increments of the ITL during a six-week overloading period were accompanied by
important decrements in exercise performance of
the participants. It seems that the two-week period was sufficient to maintain performance without causing any detrimental effects. On the other hand, this manipulation was proven effective for performance enhancement after an appropriate
training load reduction du ring subsequent weeks 3
and 4.
Noteworthy, the taper period (weeks 3 and
4) induced meaningful gains both in the 400-m and 20-m swimming speed. Th e improvement in 400-m
swimming mirrors an enha nced conditioning level
and most importantly indicates an improved players’ potential to maintain performance
throughout the match (Botonis et al., 2016). This
gain (0.8 – 1.3%), however, is in the lower range of taper-induced performance gains reported in the
literature (i.e. 0.5 – 6%) (Mujika et al., 2004). The amplitude of performance gains is inversely related to the participants’ caliber (Mujika et al., 2004) as well as to the amplitude of training
volume reduction (Mujika et al., 1995). In fact,
lower-level swimmers have been shown to achieve greater performance improvements (4.9 – 15.6%) after a two-week tapering period (Johns et al., 1992). In this line, although the reduction of training volume in the fourth week corresponded to 50% of the first week of training, the respective

reduction in the internal training load corresponded to 36%. This might be attributed to the observed differences between players in real
playing time during preparation matches
indicating that the training load was not equally distributed among them.
Additionally, the considerable
improvements (2.0 – 2.5%) for the 20-m swim time most possibly are due to taper-induced neuromuscular adaptations (Papoti et al., 2007).
The very large correlation observed between
percentage changes in training loads (week 4-1) and the respective change in the 20-m swim performance suggests that swimming sprint gains can be explained by ITL reduction and that planning tapering in wate r-polo should be based
on training load quantification. Besides, the large
effect size found for both 400-m and 20-m swim
tests indicates that the application of such a training paradigm in a real training setting may result in important benefits in endurance and sprint performance of well-trained water-polo players.
Interestingly, the day to day measures of
the ITL were correlated with the subjective measures of wellness. This coincides with findings of Buchheit et al. (2013) supporting the sensitivity of wellness measures to the ITL and offers important information regarding the acute training response and recovery the following day. In
accordance to this, previous studies in swimming
have also shown positive alterations after tapering
in psychological measures such as a mood state and quality of sleep (Hooper et al., 1998; Raglin et
al., 1996). Moreover, the observed large correlations between the percentage reduction of the ITL (week 4-1) with the respective changes in
the overall wellness scores and performance
indices show that performance peaks during the taper period through fatigue dissipation (Mujika, 2009) and wellness improvement.
We should also consider that the average
training volume of our high-level water-polo
players, participating in one of the most
competitive national water-polo championships
worldwide, was lower than that previously observed. Canossa et al. (2 014) reported that high-
level Spanish players participated in training sessions lasting on the average 23 h per week. The subjects of the current study completed about 10 h of training per week during the study period,

by Petros G. Botonis et al. 139
© Editorial Committee of Jo urnal of Human Kinetics
however, they had completed similar to high-level Spanish players training volume during the pre-season training period (i.e. 15 h per week).
Furthermore, except for the training volume, other
training characteristics such as exercise intensity and the players’ rate of perceived exertion were not provided in the study of Canossa et al. (2014) and thus, direct comparisons between players competing in Greek and Spanish water-polo championships are not recommended. Whatever
the case, the training back ground of players is a
critical factor affecting the mode of training volume and load decrement during the taper period.
We acknowledge several limitations
associated with our study, which include the lack of a control group, the absence of
physiological/objective measures and the time
recording of the 20-m test by timekeepers. However, employing a control group in real training conditions is almost impossible due to pragmatic constraints, thus making the recruitment of similar level players as a control
group difficult. Moreover, although the
employment of physio logical measurements
would have strengthened our conclusions, it appears that subjective measures are equally important as they have been shown to be advantageous in some cases over objective measures, reflecting acute and chronic training

loads with superior sensitivity and consistency compared to objective measures (Saw et al., 2015). It should be stated, however, that although the RPE
reflects an integration of afferent neural signals
from various physiological systems to the brain (Abbiss et al., 2015), the existing literature has shown large variations between the RPE method and heart rate measures (Impellizerri et al., 2004; Lupo et al., 2014) and as such more research is required to clarify its validity as a measure of the
ITL. Along this line, it would also be useful to
measure technical and/or tactical indices of players. However, this was impossible due to the time constraints imposed by the real competitive demands of the championship. The current results are unique in that high-level water-polo players were monitored for the first time, providing clear
evidence for appropriate training and recovery
before a major post-season play-off competition at the national level.
To summarize, the current data suggest
that an appropriate post-season manipulation of the external training load is effectively reflected by
internal training load changes inducing important
improvements in general well-being and considerable gains in sport-specific performance measures. The progressive exponential reduction of training loads up to ~36% in the last week of training is an effective tapering strategy in the lead-up to play-offs tournament.

Acknowledgements
We would like to thank the players for the pa rticipation in this study and the coach:
TheofanisKountoudios for his cooperation.
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Corresponding author:
Petros G. Botonis
Department of Aquatic Sports, School of Physical Education and Sports Science,
University of Athens, Athens, Greece. -41, Ethnikis Antistasis Ave, 17237, Dafni, Greece.
Phone: +302107276065; +306974709907,
E-mail: pboton@phed.uoa.gr