Search Results For Pro Cycling
CLICK HERE ===== https://urllio.com/2tlPfT
Professional road cycling is a very competitive sport, and many factors influence the outcome of the race. These factors can be internal (e.g., psychological preparedness, physiological profile of the rider, and the preparedness or fitness of the rider) or external (e.g., the weather or strategy of the team) to the rider, or even completely unpredictable (e.g., crashes or mechanical failure). This variety makes perfectly predicting the outcome of a certain race an impossible task and the sport even more interesting. Nonetheless, before each race, journalists, ex-pro cyclists, websites and cycling fans try to predict the possible top 3, 5, or 10 riders. In this article, we use easily accessible data on road cycling from the past 20 years and the Machine Learning technique Learn-to-Rank (LtR) to predict the top 10 contenders for 1-day road cycling races. We accomplish this by mapping a relevancy weight to the finishing place in the first 10 positions. We assess the performance of this approach on 2018, 2019, and 2021 editions of six spring classic 1-day races. In the end, we compare the output of the framework with a mass fan prediction on the Normalized Discounted Cumulative Gain (NDCG) metric and the number of correct top 10 guesses. We found that our model, on average, has slightly higher performance on both metrics than the mass fan prediction. We also analyze which variables of our model have the most influence on the prediction of each race. This approach can give interesting insights to fans before a race but can also be helpful to sports coaches to predict how a rider might perform compared to other riders outside of the team.
Figure 2. Pipeline for training a Learn-to-Rank model for 1-day road cycling races. The grouping stage outputs y subsets corresponding to the number of years used to train the model. Each subset contains pairs of riders r and an associated weight w. Each subset can contain a different number of riders.
UK bike shop chain Evans Cycles have looked at Google Trends for different types of bikes and compared those results with their own sales figures. The headline result from their comparison is that interest in road cycling in general and in hybrid bikes in particular is on the up, mountain biking\\u2019s star is on the wane, and the level of interest in folding and singlespeed machines remains static.\\u00a0\\u00a0 \\n\\n Graph showing the volume of searches on google uk for different types of bikes: Evans Cycles\\nGraph showing volume of searches on Google UK for different bike types (click to enlarge)\\nAnd according to Google, those trends appear to be occurring on both a UK- and world-wide basis. Evans Cycles blogger Will Lockie says: \\u201cWe can see that interest in road bikes has increased in 2010 over the previous two years, driven partly by the increasing popularity of sportive events \\u2013 essentially non-competitive road riding. \\n\\u201cDon\\u2019t forget also the mainstream interest in cycling having a knock-on effect here too, encouraging more people to take up the sport. Interest in mountain bikes, on the other hand, looks to be down on previous years. Folding bikes and singlespeed bikes are relatively flat in comparison \\u2013 perhaps due to all-year-round interest rather than seasonal peaks when the weather is nice!\\u201d\\n\\n Road bikes sales trend at evans cycles over the past three years: Evans Cycles\\n\\n Hybrid bikes sales trend at evans cycles over the past three years: Evans Cycles\\n\\n Mountain bikes sales trend at evans cycles over the past three years: Evans Cycles\\nThe above graphs show sales trends at Evans Cycles and www.evanscycles.com over the past three years; exact sales figures have not been released\\nEvans\\u2019 view of the market appears to chime with that of fellow retailers Hargreaves Cycles, of Dewsbury, West Yorkshire. They sell up to 3,000 bikes a year and owner Eddie Vokes told us: \\u201cWe\\u2019ve probably seen a slight increase in overall sales in the past 12 months but that\\u2019s been mainly on the road side. We had a good year on hybrids and it looks like more people are interested in commuting by bike, but I\\u2019d say mountain bikes have held fairly steady. \\n\\u201cWe\\u2019ve seen a lot of people fitting mudguards on road bikes which could indicate that they\\u2019re using them for commuting too. Hybrids have gone up a lot, partly on the back of the Cycle to Work scheme. Last year the scheme really took off, I think because a lot of councils and hospital boards took it up.\\u201d\\nOne trend that Mr Vokes has been struck by is the plummeting demand for children\\u2019s bikes. It seems to him that pre-teen children just aren\\u2019t interested in cycling. \\u201cWe\\u2019re finding that kids are getting lazy and there\\u2019s no two ways about that,\\u201d he said. \\u201cUp to the ages of about 12 or 13 they\\u2019re not interested and then we start to sell a few BMX bikes, but apart from that, nothing. \\n\\u201cIt\\u2019s three years since we\\u2019ve had a decent Christmas and this one was the worst ever. We used to do between 500 and 700 kids\\u2019 bikes at Christmas but this year we sold 56. I\\u2019ve got about \\u00a315,000 worth of stock sitting there that we\\u2019ll simply have to hang onto for another year. It seems they just want to stay in their bedrooms with the computer games.\\u201d \\n\\u201cMaybe it\\u2019s the parents that are being a bit over-cautious with their kids, telling them, \\u2018You can\\u2019t play out on your bike, because it\\u2019s too dangerous\\u2019. They\\u2019re going to have to do something about it because there are more obese kids about than ever. It\\u2019s very worrying,\\u201d said Mr Vokes, who should know, given that he\\u2019s been selling bikes since 1973. \\nAt the other end of the scale, high-end bikes seem to be selling well. Hargreaves bought some run-out stock of straight-forked Ridley Noah road bikes which proved to be very popular. Mr Vokes puts their popularity down to offering a value-for-money package that appealed to riders with cash to spend but who still had a nose for a bargain. \\nAs for trends for the coming year, Evans Cycles\\u2019 head bike buyer Joel Natale had this to say: \\u201cWe expect to see continued growth of road and hybrid bike sales\\u2026 Also, perhaps we\\u2019ll see a bit more diversification in these categories as people start to push the envelope again. We\\u2019ve had the retro and singlespeed theme for a while, and cyclo-cross has been growing at a rate. Over the next few years I\\u2019d expect to see touring and audax make a resurgence also. \\n\\u201cSteel\\u2019s been very cool over the last few years so we\\u2019re looking forward to seeing whether this develops further. In the mountain bike world the biggest topic is definitely 29ers. It does seem like 2011 will be their year \\u2013 the product and the market has now developed\\u2026 Simply put, there\\u2019ll be even more great ways to get out and cycle next year \\u2013 let\\u2019s just hope we get some support from the weather!\\u201d\",\"image\":{\"@type\":\"ImageObject\",\"url\":\"https:\\/\\/images.immediate.co.uk\\/production\\/volatile\\/sites\\/21\\/2019\\/03\\/1295949269295-ik6jgxjg77w9-475bac2.jpgquality=90&resize=768,574\",\"width\":768,\"height\":574},\"headline\":\"Google Trends points to rise in road cycling\",\"author\":[{\"@type\":\"Person\",\"name\":\"BikeRadar\"}],\"publisher\":{\"@type\":\"Organization\",\"name\":\"BikeRadar\",\"url\":\"https:\\/\\/www.bikeradar.com\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https:\\/\\/images.immediate.co.uk\\/production\\/volatile\\/sites\\/21\\/2019\\/03\\/cropped-White-Orange-da60b0b-04d8ff9.pngquality=90&resize=265,53\",\"width\":182,\"height\":60}},\"speakable\":{\"@type\":\"SpeakableSpecification\",\"xpath\":[\"\\/html\\/head\\/title\",\"\\/html\\/head\\/meta[@name='description']\\/@content\"],\"url\":\"https:\\/\\/www.bikeradar.com\\/news\\/google-trends-points-to-rise-in-road-cycling\\/\"},\"datePublished\":\"2011-01-25T10:15:00+00:00\",\"dateModified\":\"2019-04-10T14:08:34+00:00\"}] Google Trends points to rise in road cycling Evans say search result findings chime with their sales figures
On Cycling Weekly, you can find the usual news, events calendar, and race updates. But you can also browse cycling product reviews, deals, and even search for second-hand bikes for sale. Another awesome feature is their Health and Fitness articles that give advice on nutrition, training, and weight loss plans.
From the CyclingTips podcast to their incredible tech, news, and racing updates, this website was built with the cycling enthusiast in mind. And if you love their site, you can join their VeloClub, where fans are encouraged to contribute opinions and ideas for making the site a better place.
Another popular application in sports data science is the prediction of sport events outcomes, of which some examples will be presented in the following section. These predictions are beneficial for identifying talent, creating or changing strategies, or purely for entertainment purpose by commentators or fans. Many factors influence the outcomes of a sporting event and as result, predicting those outcomes is a challenging task. For example, in road cycling, the outcome of a race can be influenced by the preparedness of the rider, the fitness of the rider to the course, mental state, and their physical condition as the season progresses. Some factors are external and may even be completely unpredictable, such as strategy of the team, the weather, or crashes during the race.
In this study, we look at a particular set of techniques known as Learn-to-Rank. These techniques are primarily applied in Information Retrieval to order the most relevant results to a particular query (Liu, 2009). Usually, the list of items and the relevancy weight of those items is given as input, and the output is a permutation of that list. Predicting the outcome of a road cycling race could be seen as a special case of this query-result framework, where the query is a particular race, and the results (i.e., the list to be ranked) are the individual riders. We want to understand how well this technique can correctly predict the top 10 riders of a future race. In comparison to our previous study, by pursuing a Learn-to-Rank approach, we can consider all the riders of the race when creating a ranking. To the best of our knowledge, this is the first time that such an approach is applied in predicting the outcome of a multi-contestant sports event. 59ce067264
https://www.handnhandcoaching.com/forum/parenting-forum/cell-phone-repair-tools-best-buy