Fantasy Toolz Podcast

2.28 complains about closers (0:37), finds K-Rod (2:16), skims WaPo’s article about baseball cliches (3:17), recaps Algorithm Club (4:54), thinks about the future of Algorithm Club (17:16), gets ready for BoJack S5 (22:17) & NFL (23:04), and ends with a review of Inception (24:03).

2.27 strategizes fantasy baseball through MLB standings watching (0:40), introduces the week’s algorithm challenge topic: Artificial Neural Networks (neural nets) (5:04), dives into some half baked neural net applications (14:53), punts a Fantasy Football conversation (22:56), and reviews Casino Royale (25:34).

2.26 bats around praise for the most recent triple play (0:40), ponders learning a new language (2:28), critiques Cat. 5e cables (3:46), introduces the week’s algorithm challenge topic: time series analysis (5:57), models the longitudinal ownership of Max Muncy v. Jurickson Profar (11:50), peeks at the state of the home league (23:36), and reviews Pirates of the Caribbean (Black Pearl, duh) (25:30...

2.25 visits DEF CON (0:40), weighs a steam locomotive argument (1:56), bats around some baseball topics (4:08), introduces the week’s algorithm challenge topic: Random Forests (5:23), applies the Random Forest algorithm to TGFBI data (9:51), applies the Random Forest algorithm to closers (16:36), ponders the home league (24:37), punts some football topics (26:16), and reviews Fight Club (28:12).

2.24 glances at the MLB standings (0:39), postulates about the Premier League (3:50), introduces the week’s algorithm challenge topic: PCA (Principal Component Analysis) (5:24), applies PCA to TGFBI (The Great Fantasy Baseball Invitational) (8:22), applies PCA to statcast data for pitch identification (17:17), checks the news out of math world (25:48), and ends with a review of The Princess Bride...

2.23 critiques novels employing MLB fan cheap shots (0:37), identifies the Twins firesale (1:26), reviews an astronomical analysis of baseball stadiums (3:31), introduces the week’s algorithm challenge topic: simple univariate outlier detection(4:36), identifies pitching outliers using fastball velocity data (6:49), discusses the application of Kernel Density Estimation (KDE) on BABIP (batting ave...

2.22 analyzes Jimmy G’s choice of lady friends (0:40), scrutinizes the sports eclipse (2:24), presents a new series: the algorithmic challenge (4:32), provides a primer on TGFBI analysis (13:35), checks in with the craft beer scene (20:19), critiques a recent WaPo article on accents (21:12), glances at the new job opening with the Brew Crew (23:19), and ends with a review of Gattaca (24:10).

2.21 analyzes the new scandal in Washington (0:38), dissects the Matheny news (1:38), speculates Machado landing spots (2:37), revisits the Runs machine learning model (4:30) with some updates (11:21), revisits early season pitcher assertions (14:54), touches on some Eurosport (24:38), and reviews IJ1 (26:29).

2.20 glances at the World Cup 2018 (0:40), critiques the ASG selections through a fantasy lens (2:03), summarizes salient points from the last few buy low/sell high podcasts (4:26),workshops Gaussian Mixture Models (15:23), ponders the impact that bias has on data assumptions (22:56), and reviews Independence Day (24:42)

2.19 provides a bonus review session: road trips (0:39), mentions the Toolz Darby Redux (2:22), whips through some potential buy low pitchers (4:32), hits around a few potential buy low hitters (17:04), criticizes the ASG ballot box (25:04), and ends with a review of Rogue One (27:13).

2.18 spoils Westworld (0:43), bats around the new MLB pitching strategy (3:56), ponders the conundrum: so you want to sell pitchers high (6:20), develops the buy low flow (18:42), peers at the home league standings (23:56), and reviews T2 (25:40).

2.17 peers at the World Cup action (0:39), bats around some MLB topics (2:27), ponders the conundrum: so you want to sell high (5:04) and presents some potential sell high batters (13:26), celebrates Father’s Day with Westworld (23:26), and reviews Willy Wonka (25:38).

2.16 drops into Westworld (0:40), fawns over the immaculate inning (2:23), announces the GoT spinoff (4:08), ponders the conundrum: So you want to plan for keepers? (5:20), floats some potential keepers (15:37), imagines ‘The Decision 2.0’ (26:00), and ends with a review of Fahrenheit 451 (27:43).

2.15 reports the versioning news of the day (0:40), takes the pulse of the dark v. light roast debate (2:39), ponders the conundrum: so you want to make a trade (4:54), presents a basic trade evaluator model (17:02), glances at the news from Westworld (24:48), and ends with a review of the Two Towers (25:43).

2.14.1 extends our Star Wars conversation from podcast 2.14 and discusses Westworld. Caution: this is very unpolished and we go deep.

2.14 pits theoretical universe expansion options against one another (0:39), recognizes a week of bad beats for the Toolz in Fantasy (1:50), ponders the conundrum: so your team doesn’t Run (4:36), applies the growth chart model from season 1 to 2018 Run data (12:34), shoots through other news in Sport (27:54), and ends with a review of Solo… kind of (29:26).

2.13 drops into Shogun World (0:41), tackles the Laurel Yanni debate (3:36), scrutinizes longitudinal CBS player ownership data (5:12), examines ESPN ownership trends (18:04), peruses the NBA happenings (28:48), and reviews Fellowship (30:21).

2.12 wonders at the legalization of sports gambling (0:40), drops into Westworld (1:48), complains about recent DL moves (4:15), ponders the conundrum: so your team doesn’t K (6:10), builds a few linear regression models for K based stats (14:35), glances at the EPL news (28:43), and reviews Goldeneye (30:24).

2.11 drops into Westworld (0:41), bats around some miscellaneous baseball talking points (2:08), ponders the conundrum: so your team doesn’t have power (5:10), builds optimistic machine learning home runs model (17:12), bounces into some NBA playoff thoughts (26:44), and reviews HP6 (28:36).

2.10 visits Westworld 2.01 and 2.02 (0:39), analyzes a figure relating Ks/Hs/BBs/HRs (1:20), premieres a new segment: random hitters doing well (2:43), introduces the conundrum: so your team doesn’t win average (5:14), reviews batting average work done in season 1 (15:18), peeks at the TGFBI standings (22:39), chats about the ‘18 NBA playoffs (24:21), and ends with a review of Jurassic Park (25:17...

2.09 visits Milwaukee (0:40), works through the ‘18 NBA first round playoffs (1:48), ponders the conundrum: so your team doesn’t get wins (3:51), dips into some new machine learning with tensorflow (16:02), scrutinizes predicting outcomes through the assessment of random betting markets (26:01), assesses FiveThiryEight’s article about late inning favorable ball and strike calls (27:33), and ends w...

2.08 celebrates Joe Mauer’s fantasy irrelevant achievement (0:41), rants about the new MLB TV ad paradigm (2:30), discusses MLB action in the PR & snow (3:21), ponders the conundrum: so your team doesn’t get saves (5:03), presents the beta version of the relief report (16:06), bounces around some NBA playoff talk (22:36), and ends with the great IJ3 review (25:39).

2.07 scrutinizes the achievement of hitting the cycle (0:42), acknowledges the new Solo trailer (2:50), ponders the conundrum: so your team doesn’t steal bases (5:02), jumps into Monte Carlo in search of legitimate stolen bases (16:05), notes the impending NBA playoffs (25:45), and ends with a review of Hitchhiker’s Guide to the Galaxy (27:28).

2.06 celebrates baseball’s return (0:39), peeks in the bet box (2:23), gets into fantasy add/drops by examining ownership data (4:58), performs player spot checks with publicly available ownership data (17:46), scrutinizes what other sport is occurring (24:42), and ends with a review of Spaceballs (26:39).

2.05 gets ready for baseball with some MLB thoughts (0:42) & picks RoY candidates (3:25), gets into fantasy with some roster management deep thoughts (5:28), dusts off the growth chart & Bastardo work (16:38), pontificates about the best John Williams song (23:35), celebrates all the sport happening (26:02), and reviews Indiana Jones and the Temple of Doom (27:40).