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It's time to change the way we think about sports

Breaking news: It's a new year! For the last 24 years and change, I have been a die-hard sports fan. I have had my heart ripped out by my beloved Los Angeles Clippers and Los Angeles Dodgers way too many times to count. I have wondered on numerous occasions how some of my teams who looked so amazing on paper, faltered in crucial moments.

Until very recently, I thought I was cursed. I have been fans of teams that had every reason in the world to win the championship in their respective sport, but somehow found a way to lose. It had to be me, right? WRONG. The reason that elite teams do not win championships is because their organizations are either too data analytical, or too damn sentimental. I am offering a new way of thinking: Dynesalytics.

On a side note, autocorrect did not tell me to correct Dynesalytics, so shoutout to Merriam Webster for already acknowledging greatness. Dynesalytics is about to change the way we think about sports forever.

Dynesalytics (n): A collection of data and situational instincts that guide organizational decision making.

Let me give you some stories of unsuccessful, detrimental decision-making that could have used some #Dynesalytics.


I don't know if you've heard, but this past postseason the Los Angeles Clippers blew a 3-1 lead. While watching the Clipps' dreadful and pitiful run, there was one glaring decision that could have been detected if Dynesaltics were implemented. While Paul George played like 19th-century politician, George Paul, Doc Rivers inexcusably played Montrezl Harrell, more than Ivica Zubac. In the seven-game series, Ivica Zubac and Montrezl Harrell each split minutes at the center position. Zubac, a raw and seldom known-center, had a plus-minus rating of +32 in the series. Montrezl Harrell, a tenacious offensive threat and sixth man of the year, had a plus-minus rating of -35. While you can argue that plus-minus is often a team stat, Harrell's defensive rating was abysmal, as well. Throughout the entire playoffs, Harrell had the worst net rating on the team, by a wide margin.

Was the sole reason the Clippers lost the series because of Montrezl Harrell's poor play? Absolutely not. Harrell is a gifted athlete and a great, individual player in the league. However, Harrell's offensive boost was not what the Clippers needed to make a run in the playoffs. Harrell is not a playoff rotational player. Again, Paul George was not the player he needed to be, but his situation was not something that could have been resolved easily and was out of the coaching staff's control. What was possible to be controlled was Doc Rivers' inability to make adjustments to his coaching style and to tailor his rotations towards the collective strengths of the team. This was ultimately a result of him being TOO DAMN SENTIMENTAL. It ended up costing him his job.


As Bruce, the shark from Finding Nemo once said, "Data is our friend, not food." Don't fact check me. If front offices and coaching staffs just keep inhaling data and use it to make every single decision, then lose touch with the human element of the game. Data should be used as a resource. In every single situation, there are intangibles and variables that are unique to a particular moment in time. I have seen many of my sports teams die, by the analytics sword.

However, the faultiness of utilizing data was more evident (and amazing for yours truly), when Rays manager, Kevin Cash decided to take out former Cy Young Winner, Blake Snell, during a critical moment of the world series. At a low pitch count and while pitching the game of his life, Blake Snell was pulled out of the game, in favor of a relief pitcher. The analytics historically say that pitchers struggle facing batters, during the third time through the order. However, soon after Snell was removed from the game, the Dodgers rallied and went on to become World Series Champions.

The analytics did not take into account that Snell's confidence and "stuff" were through the roof in the individual game. It took a collection of past scenarios to determine a new specific moment. The margin of error and the human element of the game ended up outweighing the analytics. Look at what Kevin Cash had to say below:

Kevin Cash was TOO DAMN ANALYTICAL. It cost the Rays an opportunity to win the World Series and for Blake Snell to be traded to the San Diego Padres.


Being Dynesalytical is using data and gut feelings to make championship decisions. While good teams have data or heart, all-time great teams have both. Dynesalytics is the future of sports. It's time to be DAMN DYNESALYTICAL.


Tired of your favorite team not reaching their full potential? Have you sewn your heart back into your chest for the last time? Here is what you need to do: Book a trip to the Mahalangur Himal sub-range of the Himalayas. Upon arrival, look slightly East (not WEAST). You will see a very large mountain. This mountain is Mt. Everest.

Climb to its 29,032-foot peak, and shout to the world "DYNESALYTICS." Your favorite team's front office will instantly hear you, and you will win a championship (Limited to one championship per visit, results may vary).

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