Welcome to Cycling Log & Statistics website!

It's a pleasure to present You simple and powerful computer program for all bikers who need a tool to store training data with analyzing features.

What is CL & S?

Cycling Log & Statistics (CL & L) was created mostly for home training support (it doesn't mean it can't be used for outdoor activity). Program complete hole in the market for programs designed for beginners and semi-advanced bikers who aren't using power meters and advanced ergotrainers. Basing on time, distance, heart rate and cadence You can watch the fitness progress.

  • bike ;)
  • watch
  • distance meter
  • (cyclotrainer) 
  • pulsometer
  • cadence meter 
  • power meter
  • advanced ergotrainer
  • advanced software
  • advanced pulsometer 
  • gps

Training factors?

As the name says CL & S is not only training log. Specially adapted mathematical equations allow to score several trainings elements (e.g. average speed) and calculate overall training factor. The formulas are not always constant. For example heart rate score depends on the value of the maximum heart rate (Hmax). Score is a value from the range of <0;1>. The main property of the factor (heart rate) is that it always equals 0,618 at 0,7Hmax (picture below).

If You don't know the value of Hmax program can estimate it for You using classic formula:

Hmax = 220 - age

CL & S calculate factors for speed (Ss), cadence (Cs), heart rate (Hs) and time (Ts) of the training. All factors give the value from the range of <0;1>. Higher value mean it's a better score. Standard total training factor is a average value:

Di is a factor of data integrity. The basic value is 100%. If any factor is 0 then the Di is reduced by 25%. Higher value of Di means that the total training factor R was estimated more precisely.

Resuming the total training factor depends on average speed, cadence of cycling, value of heart rate factor and time of training. You don't have to record all of this information, but the R value will be less precisely. You can use the program as You want, because it shows also average values of raw data above the values of several factors. It's very useful when You're focusing e.g. only on speed or endurance.

For advanced users is a special feature. You can set weights for several scores and increase or decrease meaning of them. In this case training results is a weighted-average:




You can analyze statistics for several trainings or for defined categories. You can choose time period, group of trainings or a name of track. Always You can compare results to the average values from all trainings.

(click the image on the left to see more details)

Sometimes it's better to watch changes in time on graph. You can do that, but only for the raw data, like weight, distance, time, cadence, etc.

(click the image on the left to see more details)

Bike Log

  Interesting idea is keeping log about the bike(s). You can quickly check  the total distance (basing on saved data). More useful function are limits for several (few of most important) parts, like tires, chain, cassette, fork, etc. When You add new bike set the individual limit for each part. Every time You save the training info (including distance) the values of limits will be reduced. If they reach value 0 it means it's a time for e.g. replacement. After all set the limit once again and watch the progress.

(click the image on the left to see more details)


Very useful may be the option of export and import of training data. You can choose from .tcx, .logfile and .bikelog (CL & S format) when importing data.

(click the image on the left to see more details)


Easy-to-use history allow to check saved data. Also with statistics like BMI, pace, etc...

(click the image on the left to see more details)


All the features allow to track the training progress. Program uses basic information that can be measured by simple and cheap monitors (even by ourselves). GPS and power data are also important and reliable(especially power) but more expensive and for NOT-professional biker not essential. Information stored in Cycling Log are enough for good training analyze for most of us. All features were cautiously selected to match the needs of most ambitious bikers and to make them easy to use. If You don't need advanced tools like power meter, but want the program to monitor the training progress ‘Cycling Log & Statistics is just for You!


TRY FREE DEMO              

All ambitious bikers (beginners and semi-advanced) who don't want spent thousands on professional training programs, tools and software.

All who need simple, easy-to-use and powerful tool, containing most important features, that can store training data and analyze them.


Saving information about trainings (without any unclear factors – only raw data).

Easy, fast and accurate way to track the progress especially when working on cycletrainer and comparing training results from the same ‘track' and from the defined group of trainings (e.g. endurance, speed, etc).

Monitoring weight loose by cycling training.


Specially adapted mathematical equations to score overall training and its parts.

Easy to use cycling log.

Advanced statistics.

Bike log (automatic reducing limits).


Export / import data.


How to measure pulse?

There are two ways to measure it. First You can use pulsometer - special tool that can do it precisely and continuously. Usually it's a watch like and basic models doesn't cost too much. It's recommended to use it.
However the second way is to use your finger.
Then You should use two fingers - index and middle (but not thumb, because it has a pulse of its own and can interfere with an accurate count). Check the pulse at wrist or neck (like on the picture). Count to 15 and multiply the result by 4 - You will get the pulse. Repeat the measurement few times during the training and take the average value.

How to measure cadence?

Cadence of cycling is just a number of full rotations of crank per minute [rpm]. It's enought if You measure the number of full rotations in 15 seconds and multiply the result by 4. Try to keep constant cadence during exercise.

© 2011 by Paul Sikora