Title: Racing strategy and tactics in rowing
1Racing strategy and tactics in rowing
Dr. Valery Kleshnev Canberra, Australia kleshnev
v_at_ausport.gov.au
2What is the Race Strategy and Race Tactics?
- Race Strategy is absolute distribution of
athletes efforts over the race.
- Race Tactics is actions of racer relative to
other competitors.
- Race Strategy and Tactics are interrelated and
influence each other.
3What can we learn in the Race Strategy?
- We can analyse the racing strategy and tactics
relative to
- Race types (heats, semi-finals and finals)
- Boat types (singles, pairs/doubles, fours/quads,
eights)
- Medal winners versus other competitors
- Crews from different countries
- Trends of the race strategy
- Classification of the race tactics
4Methods
- Analysis of racing strategy was conducted on the
basis of official results
- Split times for each 500 m pieces were analyzed.
- Boat velocity for each quarter of the event was
calculated.
5Problem
- How can we measure the Race Strategy at different
boat speeds?
6Solution?
- Ratio of boat speed to prognostic or Gold Time
(GT) was derived
- Can we compare boat speed in different boat types?
7The Problem
- Boat speed depends on weather conditions.
- It is different in winners and losers.
- How to compare the Race Strategy in the same boat
type at different boat speed?
8Solution
- Ratio of boat speed at each 500 m to average
speed at 2000 m for the same crew was derived
(deviation of the boat speed)
- This parameter can give us a direct comparison of
the race strategy in the crews with different the
boat speed.
9The most common race strategy in rowing
- The most common (average) race strategy in rowing
is
- 3.0, -1.0, -1.9, 0.2
Average data in Olympic boats finals A
over 11 years (1993-2001) 977 cases.
10Race Strategy in different race types
- In finals, boat speed was
- 2.8 faster than average during the first 500m,
- 1.2-1.3 slower during the second and third
sections,
- nearly equal to average during the final 500m.
- Preliminary races had relatively faster start
(4.5-5.5) and slower finish piece (-1.5-2.0).
11Race strategy in different boat types
- Race strategy depends on boat type.
- Small boats have faster start piece and higher
variation of boat speed .
- Bigger boats have lower variation of boat speed
and less speed decrease during the second half of
the race.
12Differences in the race strategy in boat types
can be explained by
- Biomechanical specifics of rowing in small boats,
which makes change of the stroke rate and boat
speed easier than in big boats, but makes it more
difficult to maintain average cruising speed - Psychological features and behaviour of the
athletes in big crews, which could be selected on
a basis of more stable character or obtained
during the training.
13Race strategy in Gold vs. Silver and Bronze
- Winners are relatively faster at the 1st section
of the race, than silver and bronze medallists
- 2nd, 3rd and 4th place-takers usually have faster
final section of the race.
Average data over 11 years (1993-2001).
14Differences in the race strategy in place-takers
can be explained by
- Winners have chosen a better race strategy, which
gives them advantages in psychological (control
over the race) and/or physiological (better
work-capacity utilization) aspects. - Winners are better sprinters, but other
medallists had good endurance and cruising speed.
15Race strategies of different countries.
- CAN, GER, ROM and USA had relatively faster first
500m and slower finish piece.
- ITA had the most even strategy
- FRA was the fastest at final 500m
- GBR rowers were relatively faster over the third
500m.
Average data over 11 years (1993-2001).
16Trends of the race strategy over the last 11 years
- Does race strategy changes over the years?
- Yes, it does. Distribution of the boat speed is
becoming more and more even
- Prognostic typical race strategy for 2008 is
- 2, -1, -1, 0
- Prognostic race strategy of the winners for 2008
is
- 2, -1.5, -1.5, 1.
17Boat speed variation and its trend
- 1 of variation decreases boat speed by 0.02,
i.e. about 0.1 sec over 2000 m.
- This losses are practically negligible
- Boat speed variation decreases over the last 11
years (from 2.7 in 1993 down to 1.7 in 2003)
- Prognostic variation for 2008 is 1
18Margins between place-takers in finals.
- Average difference in boat speed between
medallists is 0.35
- 4-5 difference in boat speed variation can make
this margin
- Better race strategy cant help to jump from the
sixth to the first place.
19Factors affecting winning race strategy
- Physiological factor. Energy production in rowing
is provided from aerobic sources for 70-80. Fast
increase of oxygen consumption requires
significant anaerobic workload at the start of
the race. The anaerobic source is more powerful,
therefore the first piece of the race should be
faster than others. However, it should not be too
fast, otherwise rowers must tolerate very high
oxygen debt and lactate concentration during the
race. - Psychological factor. Rowers can control the race
easier and get some psychological advantage when
they leading the race from the start.
20Publications on the Race Strategy
- In rowing
- Klavora P., 1980, Two popular racing strategies
of international crews cat and mouse or the
favorite's strategy, Catch-Jan/Feb (Canada).
- Klavora P., 1980, Rowing racing strategy
psychological considerations. Oarsman-12(1),
Jan/Feb, 6-11.
- Erdmann W., Urbansky R., 2001, Investigation of
tactics of Olympic Games Sydney 2000 men rowing
crews based on velocity of boats. XIX Int.
Symposium on Biomechanics in Sport,
San-Francisco. - Kleshnev V., 2001, Race strategy in rowing during
Sydney Olympic Games. Australian Rowing. Vol. 24,
No.1, 20-23.
- Kennedy M., Bell G. 2003. Development of race
profiles for the performance of a simulated
2000-m rowing race. Can. J Appl. Physiol., 28(4),
536-546. - In other sports
- Van Ingen Schenau G., de Koning J., de Groot G.
1990. A simulation of speed skating performances
based on power equations. Med. Sci. Sports
Exerc., 22/5, pp 718-728. - Van Ingen Schenau G., de Koning J., de Groot G.
1992. The distribution of Anaerobic Energy in
1000 and 4000 metre Cycling Bouts. Int. J Sports
Med., 13/6, pp. 447-451. - Wilberg R., Pratt J. 1998. A survey of the race
profiles of cyclists in the pursuit and kilo
track events. Can. J Sport Sci., 13(4), 208-213.
- Issurin V. 1998. Analysis of the race strategy of
world-class kayakers. In Issurin, V. (ed.).
Science practice of canoe/kayak
high-performance training selected articles in
memory of junior world champion Nevo Eitan.
Tel-Aviv, 27-39. - Billat V., Slawinski J., Daniel M., Koralsztein
J. 2001. Effect of free versus constant pace on
performance and oxygen kinetics in running. Med.
Sci. Sports Exerc., 33(12), 2082-2088. - Bishop D., Bonetti D., Dawson B. 2002. The
influence of pacing strategy on VO2 and
supramaximal kayak performance. Med. Sci. Sports
Exerc., 34/6, pp. 1041-0147. - Foster C., de Koning J., Hettinga F., Lampen J.,
la Clair K., Dodge C., Bobbert M., Porcary J.
2003. Pattern of energy expenditure during
simulated competition. Med. Sci. Sports Exerc.,
35(5), 826-831.
21The main outcomes from the literature
- Race strategy is very similar on rowing
ergometers (Kennedy et al.)
- Race strategy profiles are similar in the sports
with the similar duration of the race (4-8 min)
- Race strategy with constant speed does not give
any physiological advantages (Billat et al.).
22Is the Race Strategy really important?
It IS important
It is NOT important
- Currently performance of the main competitors in
the world is very close.
- Winners and medallists were divided not only by
seconds but also by tenth and hundreds of seconds
.
- Higher physiological work capacity and better
technique can give much more advantages.
- The fastest crew would win with virtually any
strategy.
23Race Tactics
- The Race Tactics can be defined RELATIVE to
- Average strategy of the race,
- Closest competitors.
- The problem How can we produce common patterns
of the race tactics?
- Boat speeds are different and they depend on
whether conditions, boat type, race type,
performance
- Race strategies are different and they depend on
boat type and race type
24A Solution
A Solution
1. Average race strategy was produced
Race Tactics 1-4
3. The maximal deviation (relatively fastest
piece) and minimal (slowest piece) deviations
were found
2. Deviation of individual strategy from the
average one was calculated
25Definition of the of race tactics
- Each tactics can be described with two numbers
- sequential number of the fastest 500m piece,
- sequential number of the slowest 500m piece.
- For example
- tactics 1-4 means the first 500m was the
fastest and the final 500m was the slowest,
- tactics 3-2 means the third 500m was the
fastest and the second 500m was the slowest
26Matrix of race tactics
n
- All 12 tactics are shown in a matrix where
- Each column represents the same fastest piece
(from 1 to 4)
- Each row represents slowest piece
- Percentage shows number of cases in Finals A over
the last 11 years.
27Analysis of the place takers distribution
- The most popular tactics in winners was 1-4
(17.1)
- The most popular tactics in silver and bronze
medallists was 4-1
- This corresponds with the race strategy
distribution
28Conclusions
- The average race strategy in WC finals was
3.0, -1.0, -1.9, 0.2 (speed at each 500m
piece relative to average speed during 2000m
race) - Race strategy significantly depend on race type
(slower finish in heats) and boat type (more even
in bigger boats)
- Rowers from different countries have specific
patterns of the race strategy
- Winners have 0.5 relatively faster first 500m
and slower final 500m than other medalists
- Race strategy tends to became more even over the
last 11 years
- Classification of race tactics was established,
which consists of 12 patterns.
- It was found that the winners prefer tactics
1-4 with faster start of the race, but other
medalists use more 4-1 with relatively faster
finish.
29Recommendations
- Choose the race strategy with faster start
section if you are going to win (or die)
- Choose the race strategy with faster finish and
more even distribution of efforts if you want to
maximise your result.
30Exception, which confirms the rule!
Thanks for your attention!