The value of the Toronto Maple Leafs franchise of the National Hockey League increased by some 35 percent in 2024 over the previous year. In 2024, the franchise had an estimated value of 3.8 billion U.S. dollars.

The revenue of the National Hockey League franchise Toronto Maple Leafs increased by over nine percent in 2023/24 compared to the previous season. In the 2023/24 season, the Toronto Maple Leafs generated approximately 308 million U.S. dollars in revenue.

The operating income of the Toronto Maple Leafs franchise of the National Hockey League amounted to *** million U.S. dollars in the 2023/24 season. This shows a decrease of *** million U.S. dollars compared to the previous season.

This dataset is about books. It has 1 row and is filtered where the book is The Toronto Maple Leafs ultimate book of facts, stats, and stories. It features 7 columns including author, publication date, language, and book publisher.

The total regular season home attendance of the Toronto Maple Leafs franchise of the National Hockey League in the 2023/24 season stood at just over 0.77 million. In the same season, the average regular season home attendance of the franchise was 18,789.

Toronto Maple Leafs NHL de Kuzeydoğu Grubu nda yer alan Toronto Ontario takımıdır 1917 yılında kurulmuştur Toronto Maple

In the 2023/24 season, the Toronto Maple Leafs generated *** million U.S. dollars from ticket sales. This figure remained unchanged from the previous season.

The player expenses (payroll) of the Toronto Maple Leafs franchise of the National Hockey League amounted to 108 million U.S. dollars in the 2023/24 season. The was the highest annual payroll for the franchise since the 2005/06 season.

Blast

## Overview

Blast is a dataset for object detection tasks - it contains LeafBlast annotations for 505 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Penyakit

## Overview

Penyakit is a dataset for object detection tasks - it contains Hispa annotations for 204 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

The Fan Cost Index strives to calculate the cost of taking a family to a NHL game, including tickets, concessions and parking. In the 2023/24 season, the most expensive day out in the league was at the Toronto Maple Leafs, where a family of four could expect to pay over 700 U.S. dollars at the Scotiabank Arena.

The global ice hockey club market, encompassing teams, merchandise, and associated businesses, demonstrates substantial growth potential. While precise market size figures aren't provided, a reasonable estimation, considering the popularity of ice hockey in North America and Europe, places the 2025 market value at approximately $5 billion. This is based on the assumption that the market is significant enough to support the named teams, which are major players in well-established leagues. A conservative Compound Annual Growth Rate (CAGR) of 5% is projected from 2025 to 2033, driven by increasing fan engagement through media exposure, enhanced spectator experiences at games, and the rising popularity of youth hockey programs fueling future player and fan bases. Key growth drivers include strategic investments in team infrastructure, successful marketing campaigns targeting diverse demographics, and the expansion of broadcasting and streaming rights. Trends such as the increasing use of data analytics to improve player performance and optimize team strategies will further contribute to market growth. However, challenges exist. The market faces potential restraints such as economic downturns impacting consumer spending on entertainment, competition from other sports and entertainment options, and the inherent risks associated with player injuries and performance fluctuations. Segment analysis reveals a dominance in North America and Europe due to the historical strength of leagues like the NHL and KHL, with emerging markets in Asia showing promising, albeit slower, growth. Successful strategies for ice hockey clubs will focus on diversifying revenue streams beyond ticket sales, including merchandise, sponsorships, and digital content creation to mitigate these risks and sustain long-term growth within a dynamic and competitive sports landscape.

This graph depicts the average ticket price of Toronto Maple Leafs games within the National Hockey League from 2005/06 to 2013/14. In the 2005/06 season, the average ticket price was 49.23 U.S. dollars. The Maple Leafs play their home games at the Air Canada Center in Toronto, Ontario.

The average franchise value in the National Hockey League has steadily increased since the turn of the millennium. In 2024, franchises in the NHL had an average value of over **** billion U.S. dollars. The most valuable NHL franchise in that year was the Toronto Maple Leafs, with an estimated value of around *** billion U.S. dollars.

Auston Matthews was the highest paid player in the National Hockey League in the 2024/25 season. The Toronto Maple Leafs center earned **** million U.S. dollars in wages and a further **** million U.S. dollars through endorsements with the likes of Apple and Verizon.

The data was collected on Tuesday 23, 2014, at roughly 4:00 PM. The location was the Danby Woods at the York University Campus (Keele location.) At the time, it was 22°C (Source: http://www.theweathernetwork.com/monthly/canada/ontario/toronto) and it was a mildly windy day. To collect the required data, large, adult maple trees were located. The criteria for adult maple trees were that they must have a trunk circumference of at least 15 cm. Their circumference (at breast heigh) was measured using a tape measure (in cm, to a precision of 0.1cm) and recorded. The foliage coverage was also recorded by standing near the trunk of the tree, making a frame using our hands and estimating the amount of visible sky, and subtracting said number from 100 to determine foliage coverage. To maintain consistency, only I recorded the circumference at breast height.Next, maple saplings near the adult were located. The distance from the adult tree to the sapling was also recorded (in cm, to a precision of 0.1cm) The criteria for saplings were that they must have a circumfrence of less than 15cm.The circumference of the maple saplings were recorded (in cm.) Again, to maintain consistency, only I measured the saplings at my breast heigh.A total of 10 pairs (10 adult maples and 10 maple saplings) were collected, and the data was recorded.DBH was measured using the circumference collected during the experiment.The following equation was used: circumference = πd, where d refers to diameter. The collected circumference was divided by π to obtain the diameter of the trunk.

Ulusal Hokey Ligi salonları listesi Toronto Maple Leafs 1931 1999 yılına kadar Doğu KonferansıPrudential Center Newark N

Context

Data depicted are messages ('tweets' from here on) live-streamed on Twitter.com from 30 minutes prior to 30 minutes after Game 7 of the Stanley Cup between the Toronto Maple Leafs, and the Boston Bruins. Nearly 3000 spatially referenced tweets are represented here (of an estimated 80-100 thousand (400+MB)), between two files. Tweet content was then run through the VADER sentiment analyzer package, and a "sentiment composite score" injected into each tweet. This dataset is primarily to serve as an introduction to spatialized sentiment analysis, enjoy!

Keywords utilized: bruins leafs #game7 #StanleyCup #goleafsgo #NHLBruins #leafsforever #Bruins

Uses:

Sentiment analyzer comparisons: because the out-of-the-box options for VADER are utilized, comparisons to other sentiment analyzers can be made (example: textblob).

Spatial and Temporal sentiment analysis: comparisons of sentiment based on location, tweet keyword, time, time vs. game events, can be made.

Content

The "as_point_stanleycup07.geojson" file contains tweets with geojson point geometry based off of the users' device GPS. Each tweet injected with a "sentiment composite score" analyzed with VADER sentiment analyzer.

The "as_place_stanleycup07.geojson" file contains tweets with geojson polygon geometry (rectangles) based off of a "known area" such as a city, or state. You may want to reduce this geometry to their centroids for spatial analysis purposes. Each tweet injected with a "sentiment composite score" analyzed with VADER sentiment analyzer.

Acknowledgements

Libraries utilized, tweepy, vader, (not used, but also recommended: twarc)

Inspiration

A May 2023 survey in Canada revealed that almost one quarter of respondents supported the Toronto Maple Leafs of the NHL. Meanwhile, five percent were fans of the Winnipeg Jets.

Pairs of trees that were at least twice as tall as myself (5'6") were observed. Their DBH (diabeter at breast height) were measured, as well as the distance in between the two. The first tree was chosen at random and its partner was the closest tree that met the twice as tall requirement. Condition of the trees were observed and determined based on the amount of leaves branches and canopy on the tree. Observations were made in the woodlot of York University