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- Total Links: Anchor textTypeLinkSquared Statistics: Understanding Basketball Analytics A Blog by Justin Jacobsfollowhttps://squared2020.com/Squared Statistics: Understanding Basketball Analyticsfollowhttps://squared2020.com/Skip to contentfollow#contentHomefollowhttps://squared2020.com/Aboutfollowhttps://squared2020.com/about/Historical RAPMfollowhttps://squared2020.com/category/nba/1979 – 1980 NBA RAPMfollowhttps://squared2020.com/2021/04/11/1979-80-nba-rapm/1984 – 1985 NBA RAPMfollowhttps://squared2020.com/1984-85-rapm/1987- 1988 NBA RAPMfollowhttps://squared2020.com/1987-88-nba-rapm/Trackingfollowhttps://squared2020.com/category/nba/tracking/The Potential Assistfollowhttps://squared2020.com/2019/01/25/the-potential-assist/Applying Role Alignment to Tracking Datafollowhttps://squared2020.com/2018/12/27/applying-role-alignment-to-tracking-data/Skayton Ayton: A Look into Spacing and Putting Bigs on Skatesfollowhttps://squared2020.com/2018/12/03/skayton-ayton-a-look-into-spacing-and-putting-bigs-on-skates/Modeling the Passfollowhttps://squared2020.com/2018/11/29/modeling-the-pass/Current Shooting Trends in the NBAfollowhttps://squared2020.com/2018/11/24/current-shooting-trends-in-the-nba/Game of Waveformsfollowhttps://squared2020.com/2018/11/02/game-of-waveforms/The Components of Offense: Turning the Lurk into a Featurefollowhttps://squared2020.com/2018/10/19/the-components-of-offense-turning-the-lurk-into-a-feature/Understanding Trends in the NBA: How NNMF Worksfollowhttps://squared2020.com/2018/10/04/understanding-trends-in-the-nba-how-nnmf-works/An Example in Kullback-Leibler Divergencefollowhttps://squared2020.com/2019/02/07/an-example-in-kullback-leibler-divergence/Stochastic Tracking II: Next Gen Solutions and Player Performancefollowhttps://squared2020.com/2018/09/26/stochastic-tracking-ii-next-gen-solutions-and-player-performance/Stochastic Trackingfollowhttps://squared2020.com/2018/09/24/stochastic-tracking/Kinematics of Player Motionfollowhttps://squared2020.com/2017/10/29/kinematics-of-player-motion/Voronoi Tesselation and Rebounding Position: Defining Distance by Secondsfollowhttps://squared2020.com/2017/10/25/voronoi-tesselation-and-rebounding-position-defining-distance-by-seconds/The Art of Sketching: Trajectory Analysisfollowhttps://squared2020.com/2017/10/25/the-art-of-sketching-trajectory-analysis/Gravity: Introduction to Bodiesfollowhttps://squared2020.com/2017/12/21/gravity-introduction-to-bodies/Gravity Example: 0.04s of Computationfollowhttps://squared2020.com/2017/12/25/gravity-example-0-04s-of-computation/Understanding the Spatial Tendencies of Assists, the K(t) Test, and the Orlando Magicfollowhttps://squared2020.com/2017/10/18/understanding-the-spatial-tendencies-of-assists-the-kt-test-and-the-orlando-magic/Measuring Attack Vectors of Ball-Handlersfollowhttps://squared2020.com/2017/10/02/measuring-attack-vectors-of-ball-handlers/Building a Simple Spatial Analytic: Passing Lane Coveragefollowhttps://squared2020.com/2017/09/21/building-a-simple-spatial-analytic-passing-lane-coverage/Hammer Offense: Mechanics and Quantificationfollowhttps://squared2020.com/2017/09/14/hammer-offense-mechanics-and-quantification/Identifying Player Possession in Spatio-Temporal Datafollowhttps://squared2020.com/2017/05/07/identifying-player-possession-in-spatio-temporal-data/Bryant’s Role In the Lakers Offensefollowhttps://squared2020.com/2015/11/20/bryants-role-in-the-lakers-offense/NBA Tracking Using Python: Warriors vs. Grizzliesfollowhttps://squared2020.com/2015/11/11/nba-tracking-using-python-warriors-vs-grizzlies/Building NBA Defenses Using the Convex Hullfollowhttps://squared2020.com/2015/11/08/building-nba-defenses-using-the-convex-hull/NBA Data Science: Breaking Down NBA Datafollowhttps://squared2020.com/2015/10/30/nba-data-science-breaking-down-nba-data/NBA Shot Charts via Kernel Density Estimationfollowhttps://squared2020.com/2015/09/01/nba-shot-charts-via-kernel-density-estimation/Spatio-Temporal Data In the NBAfollowhttps://squared2020.com/2015/09/06/spatio-temporal-data-in-the-nba/Running Net Pointsfollowhttps://nba-rnp.netlify.com/Analytics Analysisfollowhttps://squared2020.com/category/analytics-analysis/Stop Ratefollowhttps://squared2020.com/2019/01/30/stop-rate/The “No Turnover” Turnoverfollowhttps://squared2020.com/2019/01/27/the-no-turnover-turnover/True Shooting Percentage Part I: Introduction and Framework for Advancementfollowhttps://squared2020.com/2019/01/09/true-shooting-percentage-part-i-introduction-and-framework-for-advancement/Random Manatees: The Art of Ranking Playersfollowhttps://squared2020.com/2018/12/28/random-manatees-the-art-of-ranking-players/Regularized Adjusted Plus-Minus Part III: What Had Really Happened Was…followhttps://squared2020.com/2018/12/24/regularized-adjusted-plus-minus-part-iii-what-had-really-happened-was/The “Wisconsin Stat”followhttps://squared2020.com/2018/11/22/the-wisconsin-stat/Ranks and Percentilesfollowhttps://squared2020.com/2018/11/20/ranks-and-percentiles/Second Chances and the Rebounding Specialistfollowhttps://squared2020.com/2018/10/02/second-chances-and-the-rebounding-specialist/Crediting Assists: A Fairly Risky Methodfollowhttps://squared2020.com/2018/09/14/crediting-assists-a-fairly-risky-method/Offensive and Defensive Ratingsfollowhttps://squared2020.com/2017/11/25/offensive-and-defensive-ratings/Usage and Efficiencyfollowhttps://squared2020.com/2017/12/02/usage-and-efficiency/Making Blocks Countfollowhttps://squared2020.com/2017/12/20/making-blocks-count/Testing the Quality of a Binary Classifier: ROC Curvesfollowhttps://squared2020.com/2017/10/14/testing-the-quality-of-a-binary-classifier-roc-curves/Developing a Cross-Product Analytic: Kidd Scorefollowhttps://squared2020.com/2017/10/13/developing-a-cross-product-analytic-kidd-score/Relationship Between TS% and eFG%followhttps://squared2020.com/2017/10/10/relationship-between-ts-and-efg/Deep Dive with Python: Offensive Ratingsfollowhttps://squared2020.com/2017/10/04/deep-dive-with-python-offensive-ratings/Game Score: Focus on Scoringfollowhttps://squared2020.com/2017/09/20/game-score-focus-on-scoring/Deep Dive on Regularized Adjusted Plus Minus II: Basic Application to 2017 NBA Data with Rfollowhttps://squared2020.com/2017/09/18/deep-dive-on-regularized-adjusted-plus-minus-ii-basic-application-to-2017-nba-data-with-r/Deep Dive on Regularized Adjusted Plus-Minus I: Introductory Examplefollowhttps://squared2020.com/2017/09/18/deep-dive-on-regularized-adjusted-plus-minus-i-introductory-example/Understanding FG% and Rebounding in Player Efficiency Ratingsfollowhttps://squared2020.com/2017/09/04/understanding-fg-and-rebounding-in-player-efficiency-ratings/Analyzing NBA Possession Modelsfollowhttps://squared2020.com/2017/07/10/analyzing-nba-possession-models/Rebounding Rates: Good for Teams; Bad for Playersfollowhttps://squared2020.com/2017/07/31/rebounding-rates-good-for-teams-bad-for-players/Miscellaneousfollowhttps://squared2020.com/category/nba/miscellaneous/A Methodology for Qualitatively Comparing Gamesfollowhttps://squared2020.com/2019/01/16/a-methodology-for-qualitatively-comparing-games/Curious Tale of 3’s Versus 2’s in the NBAfollowhttps://squared2020.com/2018/10/21/curious-tale-of-3s-versus-2s-in-the-nba/Pistol: Disrupting the Defensefollowhttps://squared2020.com/2018/10/10/pistol-disrupting-the-defense/An Absurd and Effective Way to Combat Tanking and Make the Playoffs Insanefollowhttps://squared2020.com/2018/09/19/an-absurd-and-effective-way-to-combat-tanking-and-make-the-playoffs-insane/Minnesota Timberwolves Offense: Stability, Screens, and Mid-range Gamefollowhttps://squared2020.com/2017/11/19/minnesota-timberwolves-offense-stability-screens-and-mid-range-game/Distributional Analysis of Free Throws and the Denver Nuggetsfollowhttps://squared2020.com/2017/10/12/distributional-analysis-of-free-throws-and-the-denver-nuggets/Evaluating Assists with Python: Community Detection and the Brooklyn Netsfollowhttps://squared2020.com/2017/10/10/evaluating-assists-with-python-community-detection-and-the-brooklyn-nets/Analyzing Steals in the 2016-17 NBA Seasonfollowhttps://squared2020.com/2017/08/12/analyzing-steals-in-the-2016-17-nba-season/Basics in Negative Binomial Regression: Predicting Three Point Field Goal Percentagesfollowhttps://squared2020.com/2017/08/20/basics-in-negative-binomial-regression-predicting-three-point-field-goal-percentages/Identifying Clutch Players in the NBA: 2016/17 Analysisfollowhttps://squared2020.com/2017/06/25/identifying-clutch-players-in-the-nba-201617-analysis/Applying Tensors to Find Optimal Match-Ups in the NBAfollowhttps://squared2020.com/2017/07/14/applying-tensors-to-find-optimal-match-ups-in-the-nba/Using Random Forests to Forecast NBA Careersfollowhttps://squared2020.com/2017/09/29/using-random-forests-to-forecast-nba-careers/How NBA Draft Lottery Probabilities Are Constructedfollowhttps://squared2020.com/2017/09/30/how-nba-draft-lottery-probabilities-are-constructed/Is the NBA Draft Lottery Fixed? A Statistical Analysis of 1994 – 2017.followhttps://squared2020.com/2017/05/23/is-the-nba-draft-lottery-fixed-a-statistical-analysis-of-1994-2017/The Real 2017 NBA Draft Lottery Oddsfollowhttps://squared2020.com/2017/04/23/the-real-2017-nba-draft-lottery-odds/Comparing West vs. East: If the NBA Playoffs Were Seeded Like the NCAAfollowhttps://squared2020.com/2017/07/04/removing-west-vs-east-if-the-nba-playoffs-were-seeded-like-the-ncaa/Hypothesis Testing: Is NBA Scoring Up This Year?followhttps://squared2020.com/2015/11/01/hypothesis-testing-is-nba-scoring-up-this-year/Proximity of NBA Teamsfollowhttps://squared2020.com/2015/09/08/proximity-of-nba-teams/Redefining NBA Divisions By Clusteringfollowhttps://squared2020.com/2015/09/09/redefining-nba-divisions-by-clustering/Quantifying NBA Hall of Fame Potential for NBA Players Using Random Forestsfollowhttps://squared2020.com/2015/09/23/quantifying-nba-hall-of-fame-potential-for-nba-players-using-random-forests/Score Flows of NBA Teamsfollowhttps://squared2020.com/2015/08/31/score-flows-of-nba-teams/March Madnessfollowhttps://squared2020.com/category/ncaa/basketball/march-madness/March Madness Bracketology: February 26th Editionfollowhttps://squared2020.com/2016/02/26/march-madness-bracketology-february-26th-edition/March Madness Bracketology: February 23rd Editionfollowhttps://squared2020.com/2016/02/24/march-madness-bracketology-february-23rd-edition/March Madness Bracketology: February 20th Editionfollowhttps://squared2020.com/2016/02/21/2608/1990 – 1991 NBA RAPMfollowhttps://squared2020.com/2021/09/11/1990-1991-nba-rapm/Continue reading →followhttps://squared2020.com/2021/09/11/1990-1991-nba-rapm/1979 – 1980 NBA RAPMfollowhttps://squared2020.com/2021/04/11/1979-80-nba-rapm/followhttps://squared2020.com/2021/01/23/boston-vs-the-field-defensive-3pt/Advanced Methodsfollowhttps://squared2020.com/category/advanced-methods/Miscellaneousfollowhttps://squared2020.com/category/nba/miscellaneous/NBAfollowhttps://squared2020.com/tag/nba/Trackingfollowhttps://squared2020.com/category/nba/tracking/Boston vs. The Field: Defensive 3PT%followhttps://squared2020.com/2021/01/23/boston-vs-the-field-defensive-3pt/followhttps://squared2020.com/2020/11/07/approximating-curves-ii-assimilation-of-the-jump-shot-process/Uncategorizedfollowhttps://squared2020.com/category/uncategorized/Approximating Curves II: Assimilation of the Jump Shot Processfollowhttps://squared2020.com/2020/11/07/approximating-curves-ii-assimilation-of-the-jump-shot-process/followhttps://squared2020.com/2020/10/30/approximating-curves-i-mechanical-process/Uncategorizedfollowhttps://squared2020.com/category/uncategorized/Approximating Curves I: Mechanical 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Torontofollowhttps://squared2020.com/2019/05/21/transitioning-turnovers-case-study-of-golden-state-and-toronto/May 21, 2019followhttps://squared2020.com/2019/05/21/transitioning-turnovers-case-study-of-golden-state-and-toronto/Analytics Analysisfollowhttps://squared2020.com/category/analytics-analysis/Data Sciencefollowhttps://squared2020.com/category/data-science/Miscellaneousfollowhttps://squared2020.com/category/nba/miscellaneous/NBAfollowhttps://squared2020.com/tag/nba/followhttps://squared2020.com/2019/04/30/true-2019-nba-lottery-odds/True 2019 NBA Lottery Oddsfollowhttps://squared2020.com/2019/04/30/true-2019-nba-lottery-odds/April 30, 2019followhttps://squared2020.com/2019/04/30/true-2019-nba-lottery-odds/Miscellaneousfollowhttps://squared2020.com/category/nba/miscellaneous/NBAfollowhttps://squared2020.com/tag/nba/← Older postsfollowhttps://squared2020.com/page/2/1990 – 1991 NBA RAPMfollowhttps://squared2020.com/2021/09/11/1990-1991-nba-rapm/1979 – 1980 NBA 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- Title: 80 characters.
- Description: 23 characters.
- Domain Authority
- Monthly pages viewed: 3734
- Estimated worth: 1709 dollars
We have developed a useful service for retrieve WhoIs information. "Whois" is a term that begins from the early days of the Internet, based on Unix operating system and university networks. On the Unix console, the command "whois" tries to determine the identity of the domain's registrant.
It is a means for Internet users to query various types of information such as IP addresses, user data and also domain data.
✦ SEO Report
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Squared Statistics: Understanding Basketball Analytics | A Blog by Justin Jacobs
A Blog by Justin Jacobs
Image Analysis
A right example for an HTML image tag:
<img src="prettyimage.jpg" alt="image description" title="image tooltip"/>
For SEO performance, you must write an alternative text. The alternative text must describe the image's content. Also, the alt tag is used for blind people. Their browsers tell them all about the description of the image.
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Code Analysis
We have not found hyphens (-) or underscores (_) in your URL. Google and expert domainers do not recommend buying domains with hyphens or underscores.
When a visitor came to your website you can not fail. The user wants your page to load in a second. You know that it is difficult sometimes to display content in the first second but if the user has to wait too much time you can lose that user. If your page is too slow, you will lose a lot of web traffic. Your project URL load time is ms, it is class speed. This speed not fine and need to be improved. It is over the average. Our Speed analyzer has shown that www.squared2020.com is as follows:
A huge portion of visitors to your website are usually in rush and nobody is fond of waiting too much before your website loads its content. If your website is slow, you will lose a lot of visitors. Your homepage load time is ms is class speed. This speed not fine and need to be improved. It is over the average. Our Speed analyzer has shown that www.squared2020.com is as follows:
Speed:
Page Load Time: ms
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How much money does squared2020.com earn?
The domain squared2020.com has a revenue of $13.069 monthly. We have calculated this earning based on the daily traffic of this domain.
Has squared2020.com Google Analytics code?
The domain squared2020.com has not the Google Analytics code inside its HTML.
Has squared2020.com Google Adsense code?
The domain squared2020.com has not the Google Adsense code inside its HTML.
What IP squared2020.com has?
The domain squared2020.com has IP 192.0.78.25.
Which charset squared2020.com has?
An IP address is a string of numbers used to make devices accessible for communication.
The domain squared2020.com has the charset UTF-8.
How many internal links squared2020.com has?
To display an HTML page correctly, a web browser must know which character set to use.
The charset change for every language set of characters like English, Chinese or Russian.
The domain squared2020.com has 0 links.
How many words squared2020.com has?
The links are an important part of the web.
The links help us to navigate between pages.
The domain squared2020.com has 1788 words.
The number of words is a crucial metric of the website.
The websites need a large quantity of text to explain the content of the site
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