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This week-by-week MLS Best XI aims to take out some of the reputation and biases that exist in creating a Best XI at the end of the season. Using Bayes’ Theorem based logic (not any Bayesian statistics) I am creating my overall Best XI for the 2017 season from the first week through the last. […]

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This week-by-week MLS Best XI aims to take out some of the reputation and biases that exist in creating a Best XI at the end of the season. Using Bayes’ Theorem based logic (not any Bayesian statistics) I am creating my overall Best XI for the 2017 season from the first week through the last. […]

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1. Snow Soccer! Switch to the UEFA club schedule, you say? I love snow soccer and the orange ball … as a change of pace. Like so many of the world’s best things, snow soccer is best enjoyed in moderation. No need for heatmaps in snow soccer. Minnesota featuring several Northern European players has a […]

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This week-by-week MLS Best XI aims to take out some of the reputation and biases that exist in creating a Best XI at the end of the season. Using Bayes’ Theorem based logic (not any Bayesian statistics) I am creating my overall Best XI for the 2017 season from the first week through the last. […]

Learn more ...

MLS commentators and fans alike are viewing 2017 as the year of the young player. Young, quality, MLS players come in the form of young Designated Players (and Young Designated Players1), Homegrown players, TAM-level young players, or MLS SuperDraft picks. The SuperDraft, TAM signings, and Designated Players aren’t usually what people mean by “play your […]

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[[“Team“,” Avg Age“,” 11 Age“,” 11 Age – Avg Age“],[“ATL”,” 27.8“,” 26.3“,” -1.4“],[“CHI”,” 27.3“,” 29.3“,” 2.0“],[“CLB”,” 25.8“,” 26.9“,” 1.1“],[“COL”,” 26.9“,” 27.2“,” 0.2“],[“DCU”,” 28.1“,” 28.4“,” 0.3“],[“FCD”,” 26.6“,” 27.0“,” 0.3“],[“HOU”,” 28.4“,” 28.7“,” 0.2“],[“LA”,” 26.0“,” 27.4“,” 1.4“],[“MNU”,” 27.9“,” 28.3“,” 0.4“],[“MTL”,” 28.0“,” 31.3“,” 3.3“],[“NE”,” 27.8“,” 27.0“,” -0.9“],[“NYC”,” 26.8“,” 27.9“,” 1.1“],[“NYRB”,” 26.8“,” 27.9“,” 1.1“],[“ORL”,” 27.6“,” 27.6“,” 0.1“],[“PHI”,” 27.1“,” 27.7“,” 0.6“],[“POR”,” […]

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This type of article isn’t novel or new. I’m not going to reinvent the wheel. My favorite sports writer, Zach Lowe, has one of my favorite takes on this and I’m emulating that here. It felt like a short off-season but an important one in MLS. The first week of 2017 is in the books […]

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I’m going to do a little experiment with the 2017 MLS season. Bayes’ Theorem is both a statistical and logical technique for finding the most correct – or least wrong – answer based on probabilities. The prior position or probability, known as a Bayesian Prior if I recall correctly, is constantly updated with new information. […]

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20
Feb

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I really would like to just give my prediction for this series and leave a sentence along the lines of, “Really? Do you need to know anything more?” That would be irresponsible. This is still a playoff matchup after all. Memphis started this season with a starting five of Mike Conley, Courtney Lee, Jeff Green, […]

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The Miami Heat and Charlotte Hornets are very similar per some base level numbers. The Hornets have a 3.3 net rating and a 54.5% true shooting percentage. The Heat? A 2.6 net rating and an exact true shooting percentage match. They couldn’t do it much differently on offense though. There’s a real dichotomy in offensive […]

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In a normal NBA season you’d only see the goings on of LeBron James any time you tuned in. However, his Cleveland Cavaliers have taken a back seat to the dominant, record-setting ways of the Golden State Warriors and San Antonio Spurs. The Detroit Pistons saw an uptick in their offense after the All-Star Break […]

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Despite this being a false reputation, the Atlanta Hawks vs. Boston Celtics is viewed as a series of two similar teams. Two units that are better than the sum of their parts and that don’t feature any stars but play great team basketball. That sells the Hawks quite a bit short, even if it is […]

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