TTPYC 2024 Spring Series
Thursday Evenings
Series 1
Date Committee Boat
April 4 TBD
April 11 TBD
April 18 TBD
April 25 TBD
Series 2
Willing to be Race Committee Boat?
We need Volunteers!
Prior Year Results
Eligibility
USSER Nearshore yachts or better with additional requirement to have personal lights, (during races that extend into darkness), whistles and radar reflector installed.
Start/Finish line
Between the Committee Boat and start/finish buoy offshore of the Des Moines Marina.
Course
As designated by placards posted on the committee boat. See Section IV of this handbook for a complete description of all marks.
Number of Races
One race per evening. Special Instructions The “Laggard Rule” will be in effect. See section II-N.
Start Time Evening races:
First Warning 1825
First Start 1830
Time Limit 3 hours for each race.
Series Entry Fee $35.00 per series
TTPYC 2020 Spring Series
Thursday Evenings May - June
2020
May 7
May 14
May 21
May 28
​June 4
June 12 - 14
whichever day you go.
If your results have not been entered email me your completed log sheet.
Both normal Early & Late Spring Series races have been cancelled, however to replace the late spring series, in lieu of a normal race we are planning a charity Predictive Navigation Rally.
Donations will be accepted at each race and the proceeds will go to the Des Moines Food Bank
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What is a Predicted Navigation Rally?
(‘aka’ Predicted Log Race)
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It's a navigation contest where each skipper (contestant) attempts to accurately predict the time it will take to navigate a specified course in their boat. This involves the precise calculation of the time in hours, minutes, and seconds required to cruise a prescribed course. The course is described with ‘true headings’ and ‘distances’ in nautical miles for each leg. Once the skipper (contestant) makes his/her calculations and fills out the “Predicted Log”, he/she then navigates the boat on the prescribed course, using only paper charts a compass and the boat's speedometer and depth sounder . The winner is the skipper who can predict the time with the smallest error.
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​​References: