BikeRide Score

The BikeRide Score ranks bikes from 1-100 to indicate how liked each bike is among users and experts. The higher the score is, the better.

How the BikeRide Score is Calculated

To calculate the BikeRide Score, we gather all bike expert reviews and user ratings that can be found online. We calculate the average of all reviews from 1-100, and adjust the score based on the credibility and experience of each expert and the number of user and expert reviews. Low quality or unbiased reviews and spam ratings are filtered out. See how this works below.

User Ratings

Anyone can add a user rating of a bike he/she has tried. We also gather ratings from other reliable sources online.

The score of a bike with few user ratings is less reliable, simply because it is the opinion of one or a few people only. To avoid that bikes with few user ratings reach the top of our ranking lists, we make the following adjustments:

  • 1-10 user ratings: subtract 15%
  • 11-25 user ratings: subtract 10%
  • 26-50 user ratings: subtract 5%
  • >50 user ratings: no adjustment

Expert Reviews

We include expert reviews that are published either on BikeRide or on other websites.

Expert reviews are converted into the scale of 1-100. For example, an expert rating of 6/10 becomes 60/100, and an expert rating of 4/5 becomes 80/100.

Experts are given a level of 1-5 based on how many reviews they have written:

  • 1-2 reviews: level 1
  • 3-5 reviews: level 2
  • 6-10 reviews: level 3
  • 11-25 reviews: level 4
  • 26+ reviews: level 5

The higher the level, the more the reviews are weighted in the score calculation:

  • Level 1: 100%
  • Level 2: 200%
  • Level 3: 300%
  • Level 4: 400%
  • Level 5: 500%

This is done to account for the experience the expert has of writing reviews. Another reason is to avoid weighting new experts too much before we have had a chance to fully judge the quality of his/her reviews.

Quality, Unbiased and Spam Filtered Ratings

Some bike brands try to manipulate the BikeRide Scores by adding positive user ratings to their own bikes. In order for us to avoid this score manipulation, we have built several filters to detect and filter out spam. This includes IP user restrictions and several other filters that check for certain patterns. We also manually monitor all user ratings.

We go through each expert review to make sure that it is unbiased and high quality. This is done manually, and we disregard reviews that we judge as biased (for example the focus can be on promoting a bike in return for a free sample or commission, rather than to review it in a fair way) or low quality (it is not uncommon that people write reviews of bikes without testing them). We have high standards, and if we are not certain that an expert review is unbiased and high quality, then we do not include it.

The Final Score Calculation

The final BikeRide Score calculation is made by weighting the expert reviews and user ratings:

  • User ratings: 50%
  • Expert reviews: 50%

If a bike is missing either user ratings or expert reviews, then we calculate the score without any weighting, but we also reduce the overall score by 10%.

The color of the score depends on the rating:

  • 80-100: Green
  • 60-79: Yellow
  • 00-59: Red