Category Archives: Google News Blog

The official blog from the team at Google News

Make your own data gifs with our new tool

Data visualizations are an essential storytelling tool in journalism, and though they are often intricate, they don’t have to be complex. In fact, with the growth of mobile devices as a primary method of consuming news, data visualizations can be simple images formatted for the device they appear on.

Enter data gifs.

trends_BatmanSuperman.gif

These animations can be used for a variety of sophisticated storytelling approaches among data journalists: one example is Lena Groeger, who has become *the* expert in working with data gifs.

Today we are releasing Data Gif Maker, a tool to help journalists make these visuals, which show share of search interest for two competing topics.

trends_PBJ.gif

Data Gif Maker works like this:

1. Enter two data points

Trend_Step4.png

We typically use the tool to represent competing search interest, but it can show whatever you want it to—polling numbers, sales figures, movie ratings, etc. If you want to show search interest, you can compare two terms in the Google Trends explore tool, which will give you an average number (of search interest over time) for each term. Then input those two numbers in Data Gif Maker.

2. Add your text

Trend_Step3.png

3. Choose your colors

Trend_Step2.png

4. Choose your explanatory text

Trend_Step1.png

5. Hit “Launch Comparisons” and “Download as Gif”

Trend_Step5.png

And there you go—you’ve made your first animated data gif. Pro-tip #1: the high resolution download takes longer but it’s better quality for social sharing. Pro-tip #2: Leave the window open on your desktop while it’s creating the gifs as it will do so quicker.

If you want the visual, but not the gif, hit “Launch Comparisons” and it will open in your browser window. Just hit space to advance through the views (it’s set up to show five pieces of data, one after the other).

Find the tool useful? We’d love to see what you do with it. Email us at [email protected].

Make your own data gifs with our new tool

Data visualizations are an essential storytelling tool in journalism, and though they are often intricate, they don’t have to be complex. In fact, with the growth of mobile devices as a primary method of consuming news, data visualizations can be simple images formatted for the device they appear on.

Enter data gifs.

trends_BatmanSuperman.gif

These animations can be used for a variety of sophisticated storytelling approaches among data journalists: one example is Lena Groeger, who has become *the* expert in working with data gifs.

Today we are releasing Data Gif Maker, a tool to help journalists make these visuals, which show share of search interest for two competing topics.

trends_PBJ.gif

Data Gif Maker works like this:

1. Enter two data points

Trend_Step4.png

We typically use the tool to represent competing search interest, but it can show whatever you want it to—polling numbers, sales figures, movie ratings, etc. If you want to show search interest, you can compare two terms in the Google Trends explore tool, which will give you an average number (of search interest over time) for each term. Then input those two numbers in Data Gif Maker.

2. Add your text

Trend_Step3.png

3. Choose your colors

Trend_Step2.png

4. Choose your explanatory text

Trend_Step1.png

5. Hit “Launch Comparisons” and “Download as Gif”

And there you go—you’ve made your first animated data gif. Pro-tip #1: the high resolution download takes longer but it’s better quality for social sharing. Pro-tip #2: Leave the window open on your desktop while it’s creating the gifs as it will do so quicker.

If you want the visual, but not the gif, hit “Launch Comparisons” and it will open in your browser window. Just hit space to advance through the views (it’s set up to show five pieces of data, one after the other).

Find the tool useful? We’d love to see what you do with it. Email us at [email protected].

Make your own data gifs with our new tool

Data visualizations are an essential storytelling tool in journalism, and though they are often intricate, they don’t have to be complex. In fact, with the growth of mobile devices as a primary method of consuming news, data visualizations can be simple images formatted for the device they appear on.

Enter data gifs.

trends_BatmanSuperman.gif

These animations can be used for a variety of sophisticated storytelling approaches among data journalists: one example is Lena Groeger, who has become *the* expert in working with data gifs.

Today we are releasing Data Gif Maker, a tool to help journalists make these visuals, which show share of search interest for two competing topics.

trends_PBJ.gif

Data Gif Maker works like this:

1. Enter two data points

Trend_Step4.png

We typically use the tool to represent competing search interest, but it can show whatever you want it to—polling numbers, sales figures, movie ratings, etc. If you want to show search interest, you can compare two terms in the Google Trends explore tool, which will give you an average number (of search interest over time) for each term. Then input those two numbers in Data Gif Maker.

2. Add your text

Trend_Step3.png

3. Choose your colors

Trend_Step2.png

4. Choose your explanatory text

Trend_Step1.png

5. Hit “Launch Comparisons” and “Download as Gif”

Trend_Step5.png

And there you go—you’ve made your first animated data gif. Pro-tip #1: the high resolution download takes longer but it’s better quality for social sharing. Pro-tip #2: Leave the window open on your desktop while it’s creating the gifs as it will do so quicker.

If you want the visual, but not the gif, hit “Launch Comparisons” and it will open in your browser window. Just hit space to advance through the views (it’s set up to show five pieces of data, one after the other).

Find the tool useful? We’d love to see what you do with it. Email us at [email protected].

AI in the newsroom: What’s happening and what’s next?

Bringing people together to discuss the forces shaping journalism is central to our mission at the Google News Lab. Earlier this month, we invited Nick Rockwell, the Chief Technology Officer from the New York Times, and Luca D’Aniello, the Chief Technology Officer at the Associated Press, to Google’s New York office to talk about the future of artificial intelligence in journalism and the challenges and opportunities it presents for newsrooms.

The event opened with an overview of the AP's recent report, "The Future of Augmented Journalism: a guide for newsrooms in the age of smart machines,” which was based on interviews with dozens of journalists, technologists, and academics (and compiled with the help of a robot, of course). As early adopters of this technology, the AP highlighted a number of their earlier experiments:

Boxing match image captured by one of AP’s AI-powered cameras
This image of a boxing match was captured by one of AP’s AI-powered cameras.
  • Deploying more than a dozen AI-powered robotic cameras at the 2016 Summer Olympics to capture angles not easily available to journalists
  • Using Google’s Cloud Vision API to classify and tag photos automatically throughout the report
  • Increasing news coverage of quarterly earnings reports from 400 to 4,000 companies using automation

The report also addressed key concerns, including risks associated with unchecked algorithms, potential for workflow disruption, and the growing gap in skill sets.

Here are three themes that emerged from the conversation with Rockwell and D’Aniello:

1. AI will increase a news organization's ability to focus on content creation

D’Aniello noted that journalists, often “pressed for resources,” are forced to “spend most of their time creating multiple versions of the same content for different outlets.” AI can reduce monotonous tasks like these and allow journalists to to spend more of their time on their core expertise: reporting.

For Rockwell, AI could also be leveraged to power new reporting, helping journalists analyze massive data sets to surface untold stories. Rockwell noted that “the big stories will be found in data, and whether we can find them or not will depend on our sophistication using large datasets.”

2. AI can help improve the quality of dialogue online and help organizations better understand their readers' needs.

Given the increasing abuse and harassment found in online conversations, many publishers are backing away from allowing comments on articles. For the Times, the Perspective API tool developed by Jigsaw (part of Google’s parent company Alphabet), is creating an opportunity to encourage constructive discussions online by using machine learning to increase the efficiency of comment moderation. Previously, the Times could only moderate comments on 10 percent of articles. Now, the technology has allowed them to allow commenting on all articles.

The Times is also thinking about using AI to increase the relevance of what they deliver to readers. As Rockwell notes, “Our readers have always looked to us to filter the world, but to do that only through editorial curation is a one-size-fits-all approach. There is a lot we can do to better serve them.”

3. Applying journalistic standards is essential to AI’s successful implementation in newsrooms

Both panelists agreed that the editorial standards that go into creating quality journalism should be applied to AI-fueled journalism. As Francesco Marconi, the author of the AP report, remarked, “Humans make mistakes. Algorithms make mistakes. All the editorial standards should be applied to the technology.”

Here are a few approaches we’ve seen for how those standards can be applied to the technology:

  • Pairing up journalists with the tech. At the AP, business journalists trained software to understand how to write an earnings report.
  • Serving as editorial gatekeepers. News editors should play a role in synthesizing and framing the information AI produces.
  • Ensuring more inclusive reporting. In 2016, Google.org, USC and the Geena Davis Foundation used machine learning to create a tool that collects data on gender portrayals in media.

What’s ahead

What will it take for AI to be a positive force in journalism? The conversation showed that while the path wasn’t certain, getting to the right answers would require close collaboration between the technology industry, news organizations, and journalists.

“There is a lot of work to do, but it’s about the mindset,” D’Aniello said. “Technology was seen as a disruptor of the newsroom, and it was difficult to introduce things. I don’t think this is the case anymore. The urgency and the need is perceived at the editorial level.”

We look forward to continuing to host more conversations on important topics like this one. Learn more about the Google News Lab on our website.

Header image of robotic camera courtesy of Associated Press.

AI in the newsroom: What’s happening and what’s next?

Bringing people together to discuss the forces shaping journalism is central to our mission at the Google News Lab. Earlier this month, we invited Nick Rockwell, the Chief Technology Officer from the New York Times, and Luca D’Aniello, the Chief Technology Officer at the Associated Press, to Google’s New York office to talk about the future of artificial intelligence in journalism and the challenges and opportunities it presents for newsrooms.

The event opened with an overview of the AP's recent report, "The Future of Augmented Journalism: a guide for newsrooms in the age of smart machines,” which was based on interviews with dozens of journalists, technologists, and academics (and compiled with the help of a robot, of course). As early adopters of this technology, the AP highlighted a number of their earlier experiments:

Boxing match image captured by one of AP’s AI-powered cameras
This image of a boxing match was captured by one of AP’s AI-powered cameras.
  • Deploying more than a dozen AI-powered robotic cameras at the 2016 Summer Olympics to capture angles not easily available to journalists
  • Using Google’s Cloud Vision API to classify and tag photos automatically throughout the report
  • Increasing news coverage of quarterly earnings reports from 400 to 4,000 companies using automation

The report also addressed key concerns, including risks associated with unchecked algorithms, potential for workflow disruption, and the growing gap in skill sets.

Here are three themes that emerged from the conversation with Rockwell and D’Aniello:

1. AI will increase a news organization's ability to focus on content creation

D’Aniello noted that journalists, often “pressed for resources,” are forced to “spend most of their time creating multiple versions of the same content for different outlets.” AI can reduce monotonous tasks like these and allow journalists to to spend more of their time on their core expertise: reporting.

For Rockwell, AI could also be leveraged to power new reporting, helping journalists analyze massive data sets to surface untold stories. Rockwell noted that “the big stories will be found in data, and whether we can find them or not will depend on our sophistication using large datasets.”

2. AI can help improve the quality of dialogue online and help organizations better understand their readers' needs.

Given the increasing abuse and harassment found in online conversations, many publishers are backing away from allowing comments on articles. For the Times, the Perspective API tool developed by Jigsaw (part of Google’s parent company Alphabet), is creating an opportunity to encourage constructive discussions online by using machine learning to increase the efficiency of comment moderation. Previously, the Times could only moderate comments on 10 percent of articles. The Times aspires to use Perspective to enable commenting on all its articles.

The Times is also thinking about using AI to increase the relevance of what they deliver to readers. As Rockwell notes, “Our readers have always looked to us to filter the world, but to do that only through editorial curation is a one-size-fits-all approach. There is a lot we can do to better serve them.”

3. Applying journalistic standards is essential to AI’s successful implementation in newsrooms

Both panelists agreed that the editorial standards that go into creating quality journalism should be applied to AI-fueled journalism. As Francesco Marconi, the author of the AP report, remarked, “Humans make mistakes. Algorithms make mistakes. All the editorial standards should be applied to the technology.”

Here are a few approaches we’ve seen for how those standards can be applied to the technology:

  • Pairing up journalists with the tech. At the AP, business journalists trained software to understand how to write an earnings report.
  • Serving as editorial gatekeepers. News editors should play a role in synthesizing and framing the information AI produces.
  • Ensuring more inclusive reporting. In 2016, Google.org, USC and the Geena Davis Foundation used machine learning to create a tool that collects data on gender portrayals in media.

What’s ahead

What will it take for AI to be a positive force in journalism? The conversation showed that while the path wasn’t certain, getting to the right answers would require close collaboration between the technology industry, news organizations, and journalists.

“There is a lot of work to do, but it’s about the mindset,” D’Aniello said. “Technology was seen as a disruptor of the newsroom, and it was difficult to introduce things. I don’t think this is the case anymore. The urgency and the need is perceived at the editorial level.”

We look forward to continuing to host more conversations on important topics like this one. Learn more about the Google News Lab on our website.

Header image of robotic camera courtesy of Associated Press.

AI in the newsroom: What’s happening and what’s next?

Bringing people together to discuss the forces shaping journalism is central to our mission at the Google News Lab. Earlier this month, we invited Nick Rockwell, the Chief Technology Officer from the New York Times, and Luca D’Aniello, the Chief Technology Officer at the Associated Press, to Google’s New York office to talk about the future of artificial intelligence in journalism and the challenges and opportunities it presents for newsrooms.

The event opened with an overview of the AP's recent report, "The Future of Augmented Journalism: a guide for newsrooms in the age of smart machines,” which was based on interviews with dozens of journalists, technologists, and academics (and compiled with the help of a robot, of course). As early adopters of this technology, the AP highlighted a number of their earlier experiments:

Boxing match image captured by one of AP’s AI-powered cameras
This image of a boxing match was captured by one of AP’s AI-powered cameras.
  • Deploying more than a dozen AI-powered robotic cameras at the 2016 Summer Olympics to capture angles not easily available to journalists
  • Using Google’s Cloud Vision API to classify and tag photos automatically throughout the report
  • Increasing news coverage of quarterly earnings reports from 400 to 4,000 companies using automation

The report also addressed key concerns, including risks associated with unchecked algorithms, potential for workflow disruption, and the growing gap in skill sets.

Here are three themes that emerged from the conversation with Rockwell and D’Aniello:

1. AI will increase a news organization's ability to focus on content creation

D’Aniello noted that journalists, often “pressed for resources,” are forced to “spend most of their time creating multiple versions of the same content for different outlets.” AI can reduce monotonous tasks like these and allow journalists to to spend more of their time on their core expertise: reporting.

For Rockwell, AI could also be leveraged to power new reporting, helping journalists analyze massive data sets to surface untold stories. Rockwell noted that “the big stories will be found in data, and whether we can find them or not will depend on our sophistication using large datasets.”

2. AI can help improve the quality of dialogue online and help organizations better understand their readers' needs.

Given the increasing abuse and harassment found in online conversations, many publishers are backing away from allowing comments on articles. For the Times, the Perspective API tool developed by Jigsaw (part of Google’s parent company Alphabet), is creating an opportunity to encourage constructive discussions online by using machine learning to increase the efficiency of comment moderation. Previously, the Times could only moderate comments on 10 percent of articles. The Times aspires to use Perspective to enable commenting on all its articles.

The Times is also thinking about using AI to increase the relevance of what they deliver to readers. As Rockwell notes, “Our readers have always looked to us to filter the world, but to do that only through editorial curation is a one-size-fits-all approach. There is a lot we can do to better serve them.”

3. Applying journalistic standards is essential to AI’s successful implementation in newsrooms

Both panelists agreed that the editorial standards that go into creating quality journalism should be applied to AI-fueled journalism. As Francesco Marconi, the author of the AP report, remarked, “Humans make mistakes. Algorithms make mistakes. All the editorial standards should be applied to the technology.”

Here are a few approaches we’ve seen for how those standards can be applied to the technology:

  • Pairing up journalists with the tech. At the AP, business journalists trained software to understand how to write an earnings report.
  • Serving as editorial gatekeepers. News editors should play a role in synthesizing and framing the information AI produces.
  • Ensuring more inclusive reporting. In 2016, Google.org, USC and the Geena Davis Foundation used machine learning to create a tool that collects data on gender portrayals in media.

What’s ahead

What will it take for AI to be a positive force in journalism? The conversation showed that while the path wasn’t certain, getting to the right answers would require close collaboration between the technology industry, news organizations, and journalists.

“There is a lot of work to do, but it’s about the mindset,” D’Aniello said. “Technology was seen as a disruptor of the newsroom, and it was difficult to introduce things. I don’t think this is the case anymore. The urgency and the need is perceived at the editorial level.”

We look forward to continuing to host more conversations on important topics like this one. Learn more about the Google News Lab on our website.

Header image of robotic camera courtesy of Associated Press.

More ads transparency for publishers

Publishers are the backbone of the open web—the content creators, journalists, amateur videographers and our go-to guides for information. Fifteen years ago, we decided to help publishers make money from their content by starting AdSense, our first publisher platform. And today, our ad platforms are used by millions of publishers, large and small, as a way to grow their businesses. In 2016, we paid out more than $11 billion to our publisher partners from advertising.

Policies play an important role in protecting the open web. They ensure publishers have a sustainable way to make money through our ads platforms, setting rules about what we do and don’t allow. For example, publishers can’t just have a site full of ads. Our policies exist to balance publishers’ needs with those of our users, advertisers and all of the parties that depend on it to keep the open web going.

One of the top requests we hear from publishers is that they want more transparency about how we respond to policy violations on their content. They want more information about why we remove ads on their websites and more help to resolve issues quickly, minimizing the impact on their bottom line.

Today we’re announcing two updates, based on direct feedback from publishers, to how our policies are enforced and communicated to publishers.

Policy actions at the page level

We’re introducing a new technology for policy violations that allows us to act more quickly and more precisely when we need to remove ads from content that violates our policies. Historically, for most policy violations, we remove all ads from a publisher’s site. As we roll out page-level policy action as the new default for content violations, we’ll be able to stop showing ads on select pages, while leaving ads up on the rest of a site’s good content. We’ll still use site-level actions but only as needed. And when it's necessary, such as in the case of egregious or persistent violations, we'll still terminate publishers. Altogether, this means fewer disruptions for publishers. 

A new Policy Center for publishers that use AdSense

We’re also announcing a new Policy Center as a one-stop shop for everything a publisher needs to know about policy actions that affect their sites and pages. We have been piloting this Policy Center with thousands of AdSense publishers, who have been very positive about these changes—and provided great feedback and suggestions on how to make the Policy Center more useful.

In just a few weeks, all AdSense publishers will have more transparency about why policy actions were taken and the violations found, including page-level action data, so they can quickly resolve these issues across all their sites and pages using step-by-step instructions. The Policy Center also makes it easy for publishers to tell us when policy issues have been resolved and their pages are ready for review.  

Later this year, we’ll be adding policy centers in other publisher platforms in addition to AdSense.

With this launch, we’re moving two steps closer to our goal of making it easier to understand how our policies work so that publishers can drive their businesses forward, using Google ad platforms.  

More ads transparency for publishers

Publishers are the backbone of the open web—the content creators, journalists, amateur videographers and our go-to guides for information. Fifteen years ago, we decided to help publishers make money from their content by starting AdSense, our first publisher platform. And today, our ad platforms are used by millions of publishers, large and small, as a way to grow their businesses. In 2016, we paid out more than $11 billion to our publisher partners from advertising.

Policies play an important role in protecting the open web. They ensure publishers have a sustainable way to make money through our ads platforms, setting rules about what we do and don’t allow. For example, publishers can’t just have a site full of ads. Our policies exist to balance publishers’ needs with those of our users, advertisers and all of the parties that depend on it to keep the open web going.

One of the top requests we hear from publishers is that they want more transparency about how we respond to policy violations on their content. They want more information about why we remove ads on their websites and more help to resolve issues quickly, minimizing the impact on their bottom line.

Today we’re announcing two updates, based on direct feedback from publishers, to how our policies are enforced and communicated to publishers.

Policy actions at the page level

We’re introducing a new technology for policy violations that allows us to act more quickly and more precisely when we need to remove ads from content that violates our policies. Historically, for most policy violations, we remove all ads from a publisher’s site. As we roll out page-level policy action as the new default for content violations, we’ll be able to stop showing ads on select pages, while leaving ads up on the rest of a site’s good content. We’ll still use site-level actions but only as needed. And when it's necessary, such as in the case of egregious or persistent violations, we'll still terminate publishers. Altogether, this means fewer disruptions for publishers. 

A new Policy Center for publishers that use AdSense

We’re also announcing a new Policy Center as a one-stop shop for everything a publisher needs to know about policy actions that affect their sites and pages. We have been piloting this Policy Center with thousands of AdSense publishers, who have been very positive about these changes—and provided great feedback and suggestions on how to make the Policy Center more useful.

In just a few weeks, all AdSense publishers will have more transparency about why policy actions were taken and the violations found, including page-level action data, so they can quickly resolve these issues across all their sites and pages using step-by-step instructions. The Policy Center also makes it easy for publishers to tell us when policy issues have been resolved and their pages are ready for review.  

Later this year, we’ll be adding policy centers in other publisher platforms in addition to AdSense.

With this launch, we’re moving two steps closer to our goal of making it easier to understand how our policies work so that publishers can drive their businesses forward, using Google ad platforms.  

More ads transparency for publishers

Publishers are the backbone of the open web—the content creators, journalists, amateur videographers and our go-to guides for information. Fifteen years ago, we decided to help publishers make money from their content by starting AdSense, our first publisher platform. And today, our ad platforms are used by millions of publishers, large and small, as a way to grow their businesses. In 2016, we paid out more than $11 billion to our publisher partners from advertising.

Policies play an important role in protecting the open web. They ensure publishers have a sustainable way to make money through our ads platforms, setting rules about what we do and don’t allow. For example, publishers can’t just have a site full of ads. Our policies exist to balance publishers’ needs with those of our users, advertisers and all of the parties that depend on it to keep the open web going.

One of the top requests we hear from publishers is that they want more transparency about how we respond to policy violations on their content. They want more information about why we remove ads on their websites and more help to resolve issues quickly, minimizing the impact on their bottom line.

Today we’re announcing two updates, based on direct feedback from publishers, to how our policies are enforced and communicated to publishers.

Policy actions at the page level

We’re introducing a new technology for policy violations that allows us to act more quickly and more precisely when we need to remove ads from content that violates our policies. Historically, for most policy violations, we remove all ads from a publisher’s site. As we roll out page-level policy action as the new default for content violations, we’ll be able to stop showing ads on select pages, while leaving ads up on the rest of a site’s good content. We’ll still use site-level actions but only as needed. And when it's necessary, such as in the case of egregious or persistent violations, we'll still terminate publishers. Altogether, this means fewer disruptions for publishers. 

A new Policy Center for publishers that use AdSense

We’re also announcing a new Policy Center as a one-stop shop for everything a publisher needs to know about policy actions that affect their sites and pages. We have been piloting this Policy Center with thousands of AdSense publishers, who have been very positive about these changes—and provided great feedback and suggestions on how to make the Policy Center more useful.

In just a few weeks, all AdSense publishers will have more transparency about why policy actions were taken and the violations found, including page-level action data, so they can quickly resolve these issues across all their sites and pages using step-by-step instructions. The Policy Center also makes it easy for publishers to tell us when policy issues have been resolved and their pages are ready for review.  

Later this year, we’ll be adding policy centers in other publisher platforms in addition to AdSense.

With this launch, we’re moving two steps closer to our goal of making it easier to understand how our policies work so that publishers can drive their businesses forward, using Google ad platforms.  

Want to score this playoff season? Shoot over to Search and Newsstand

Playoff season is in full swing. Whether your eyes are glued to the ice for the NHL Stanley Cup or geared up for a fastbreak during the NBA Finals, you can stay in the know with your favorite teams right in Play Newsstand and with posts in Google Search.

Check out Play Newsstand this playoff season, where you can get a play-by-play of all the action. Starting today, Newsstand will feature special NBA and Stanley Cup Playoffs sections, which will bring you the latest updates from thousands of local and national news sources in one place. You’ll also catch real-time updates directly from the leagues and the teams. These new Playoff sections make it easy to catch the top headlines, then dive into the latest scores, analyses and videos about your favorite teams, including their own posts to Google. Make Play Newsstand your #1 pick at the Play and App Stores, or pick it up on waiver at newsstand.google.com.

nhl

But that’s not all. Now you can get the latest updates, videos, photos and more right on the Knowledge Panels in Search directly from some of your favorite NHL and NBA teams. In those posts, you’ll see the highlights that your home team (or rivals!) share. Check back throughout the day and week to make sure you don’t miss a thing. (No need for you baseball fans to balk, we’ve completed the triple play with posts from the MLB and all its teams too.)

Giddy for a GIF of that buzzer-beater? Look no further than Google Search. Whether you’re a citizen of #DubNation in the Bay or charging for the Bulls, you’ll have access to posts all across the court in the span of a 20-second timeout.

bulls (1)a.png

Want to see that puck hit the net? From assist to Zamboni, skating through updates from more than 30 teams across the NHL has never been smoother. A quick search on Google brings up an all-star lineup of content from the teams you care about across the U.S. and Canada—get the news before your buddies for a real power play. No need to drop your gloves, you can even do a voice search on your phone.

nhl (1).png

Don’t score an own-goal: Take the ball or the puck and search for your team. The race to the Finals is on!!