The purpose of this site is to:
If you are interested in diving deeper into the possibilities of the data, click on the collapsible below.
An athlete and their results from a race will be on the ranking list if, and only if:
To check if you already have an Athlete ID, or to register an Athlete ID, click here.
Each race listed on the "Upcoming races"-page will award ranking points.
Each race listed on the "Upcoming races"-page will award ranking points. If you have ran a race, ensure that the results have been published by visiting the Races List. If you are missing from the race result list, contact the organiser as it is them that must send us the correct result list.
Badges is awarded to athletes who meet the description of each badge, hover or click on them below to see how to get them!
Many nations use our data to select athletes for qualification to the championships. Below are our recommended qualification limits for 2024. The limits have been found to be suitable after analysis of past years performance.
Age-group |
Limit men |
Limit women |
16-17 |
35 |
50 |
18-19 |
30 |
45 |
20-24 |
25 |
40 |
25-29 |
25 |
40 |
30-34 |
25 |
40 |
35-39 |
25 |
40 |
40-44 |
25 |
50 |
45-49 |
25 |
50 |
50-54 |
40 |
70 |
55-59 |
45 |
90 |
60+ |
90 |
120 |
For those interested into the performance of the ranking lists, this section aim to give a deeper understanding about the accuracy of the data
For the Swedish National Championship we were contacted to help seed the race to minimize queues and ensure quality starting groups. They also wanted us to predict times for the runners. Afterwards we did a benchmark to see how well our predictions worked.
The result can be seen in the image below. We predicted the finishing times for 137 contestants in a 12km obstacle course race. We managed to get a correct time +-7% for 80% of the contestants, and a majority of the contestants times were predicted within +-3.5%
More examples will be provided soon.
The ranking system is completely autonomous and uses all times in the race to calculate individual scorings. It indirectly takes into account the difficulty of the race, where objectively harder races generally give a better score than objectively easier races. Note that there is no assessment of the race's difficulty level; this is a result of how the algorithm is constructed. This creates a fair system.
The calculation algorithm has been developed based on the experiences we have gathered over the years. We have conducted in-depth analyses and test runs of various calculation models and worked our way to a point calculation as fair and accurate as possible. We now have over 2500 results from more than 30 competitions distributed over more than 700 runners that we have used as a basis for the analyses. Each ranking point roughly corresponds to a 0.1 minutes delay relative to an ideal athlete in a 60 minute race. For example, a ranking score of 180 indicates that a participant is expected to finish 18 minutes behind the ideal runner, assuming a winning time of 60 minutes.
To calculate the ranking points for a race, the participant's time and previous ranking are used to derive a performance number for that participant. This is done for all participants. An average of all performance numbers gives the race's average performance. If the participant has performed better than this average performance, the ranking points will be better than the person's current ranking score. Otherwise, it will be worse. A participant that did not complete the race gets 300 points.
First, an individual performance factor (iPF) is calculated by comparing the participant's time (T) with their previous ranking score (S). This is only done for participants who previously have ranking points and who completed the race. The calculation is made using the formula iPF = (60 + S) / T.
The individual performance factors (iPF) are then sorted in descending order. The race's performance factor (PF) is determined by the value at the 40th percentile of the sorted iPF list. For instance, in a race with eleven completers, the fifth iPF value is selected.
DNFs are used as a means to estimate the difficulty of the race. Two multipliers are calculated, a Count multiplier that adjusts for the DNF count and a Ranking multiplier that looks at the ranking of the DNFs. If the ranking of the DNFs is lower, the ranking of the finishers will be better.
The Count multiplier (cM) uses the fraction of DNFs (fDNF) among the participants. The formula is cM = 1 - fDNF/7.
The Ranking multiplier (rM) also uses the median ranking of the DNFs (mDNF). The formula is rM = (1 - fDNF) + min(fDNF * min(1 - (100 - mDNF) / 700, 1)).
Subsequently, each participant’s ranking points (P) in a particular race are calculated using the formula P = (T * PF – 60) * cM * rM. A DNF results in 300 ranking points for that participant.
The parameters of cM and rM have been selected to give a reasonable adjustment compared to the DNF rate and level.
In the example below there is a race with fourteen athletes, sorted by the time they completed the race. The iPF is calculated for the completing athletes according to the equation above. For example, for participant A, iPF = (5+60)/50 = 1.3. As eleven athletes completed the race, the 40th percentile becomes the 5th highest iPF, 1.35, marked in yellow. With a DNF rate of 21% and a median DNF rank of 28, the cM and rM are calculated to approximately 97% and 98% respectively. The points for each participant are then P = (1.35 * T - 60) * 0.97 * 0.98. For A, it becomes (1.35 * 50 - 60) * 0.97 * 0.98 ≈ 7.
Note that all individuals with an iPF higher than the 40th percentile of 1.35 have improved their score relative to their previous score. They have thus performed better relative to their ranking. Similarly, all with an iPF lower than 1.35 have worsened their score compared to their previous score. This results in participant A, even though they win the race, receiving a score that is 2 points worse than A's previous ranking points. This is because participant A was expected to run even faster relative to the competition. Of course, participant A still gets the lowest score in the race.
We want to extend our heartfelt thanks to everyone who has contributed to the OCR scene. Your support and involvement are what make this community thrive. While every contribution is deeply appreciated, we would like to give special recognition to some individuals whose efforts have gone above and beyond and whose names were mentioned on multiple occations when we asked people in the community. People awarded the community awards in the future will be nominated by the national federations annually.
Andreas Närvä - For his significant contributions to organizing the sport in Finland.
Christopher Holmström - For his work as head of the national team and chief judge in Sweden, ensuring fair competitions and advancing the sport.
Daniel Bergin - For his role as competition manager at the Swedish Athletics Federation and work well beyond his regular duties to develop the sport.
Daniel Evaldsson - For his work on this site and his involvement in the OCR scene in Sweden.
Ida Matilde - For her influential social media presence.
Jonathan Stiig - For his efforts supporting youth participation in the sport in Sweden.
Juan E Manuenda - For his efforts in training judges, and for officiating numerous international championships as sweden's highest-certified judge.
Leon Kofoed - For his social media presence and role as an ambassador for the sport.
Lucas Gardebrand - For developing the ranking system, his analysis work, and his involvement in the OCR scene in Sweden.
Martin Bäckström - For a significant commitment to OCR as a competitive sport and an outstanding job as the chairman of the Swedish OCR Council.
Nikolaj Dam - For creating exceptional education programs for OCR trainers.
Ulrikke Evenssen - For her social media presence and role as an ambassador for the sport on the Danish reality show Korpset.
Jari Forsman - For his contributions to advancing the sports and for establishing Sweden's first and largest OCR course at Krusgårdsparken.
Last Updated: June 9, 2024
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We may share data for the purpose of validating inputted information during registration for a race, or for seeding purposes. We also have to share your data with authorities when required by law or to protect our rights.
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The ranking list was initially created as an aid to the Swedish OCR Association to select athletes for the international championships. Later, the Finns, Norwegians, and Danes wanted to do the same, and the prospect of an international ranking list was born. If you represent an OCR association and wish to have your nation represented, or have any questions about the list, write to daniel@dekada.se. If you are an athlete who would think it would be awesome to be part of the ranking list, urge your national association to talk to us!
Planned updates:
A new calculation algorithm was introduced late 2023 after extensive analysis. After the 2024 season we will review the set parameters, especially since we have added a large amount of international runners. This review may result in a recalculation of scores, but it won't result in any drastic changes.
The International OCR Ranking site is developed and managed by fellow OCR athletes Daniel Evaldsson and Lucas Gardebrand through the company ***** AB.