Hello Fantasy Speed Skating Managers, In 1982, Gary Larson published a Far Side cartoon called “Cow tools”. The cartoon, which was captioned “Cow tools”, depicts a cow looking over a workbench at several crudely made instruments. The cartoon was generally regarded as confusing and unfunny. Many consider it the most-disliked Far Side comic strip of all time. When asked for clarification about the strip, Gary Larson apologized for the cartoon saying that the joke was that if cows made tools, they “would lack something in sophistication and resemble the sorry specimens in this cartoon”.  Much like cow tools, Dad’s recent column lacks something in sophistication. Fortunately, Stepdad is here to fill the hole in your heart left by Dad’s lack of detailed analysis. Stepdad Goes Tech Bro For the first time in years, Stepdad finished out of the money last season. I would be lying if I told you that this didn’t hurt. People like Dad, Your Biological Father, and Stepson will tell you that this is because I am an idiot who doesn’t know anything about speed skating. Respectfully, they are wrong. My problem isn’t that I don’t follow skating, my problem is that I need a better model. Previously, my Skater Predicted Points (Skater PP) model was about as sophisticated as your average cow tool. This season, everything has changed. The new Skater PP network is a fancy feedforward neural network that harnesses the power of AI, machine learning, quantum game theory, and layered autoethnography. The model works by taking in inputs such as points for previous seasons, PB’s, gender, and country. It then uses the inputs to predict the points that each skater will earn over the season. Loyal Stepdad fans will of course ask how the new Skater PP model is different from the old model. The answer is simple. In the old model, I could tell you exactly how much each input impacted the prediction. Now, I have no idea how the model works. This is the true power of AI. By having almost no understanding of how the inputs affect the predicted outcomes, I have managed to further reduce the thought required to play Fantasy Speed Skating. This leaves me with more time to spend on my other hobbies, such as drinking Lucky Extra. Will this new modelling approach work? I honestly don’t know. I’m tempted to say that it can’t be worse than my previous models, although if the neural network is egregiously overfit, then it could be much much worse. Only time will tell if Stepdad is returned to the money, where I belong. Stepdad’s Power Rankings I’m not going to steal Dad’s thunder and release my own power rankings this year, especially since Dad has promised to thoroughly dunk on all of us once he has the time. However, I will note the three cases where Dad and my rankings align: ·       Ryan – 3 rd Congratulations, Ryan. Dad and Stepdad don’t agree on much, but we agree that your team looks pretty good this season. Consistently strong points generators in the early and middle rounds are likely to keep things rolling. Just make sure not to pull a Christian and drop one of your best skaters to pick up Masaya Yamada after World Cup #1. ·       Joel – 15 th Although Joel’s early picks were strong, some of Joel’s mid-round picks such as Michele Malfatti (6 th round) and Metoděj Jílek (8 th round) are more dubious. We’ll have to stay tuned to see if good management and/or luck can pull Joel up the power rankings and into the money this season. ·       Jess – 40 th Chris Huizinga in the 1 st round is the worst draft pick of the season. Jenning de Boo in the 2 nd round is also brutal. Jess can be somewhat forgiven for being a rookie, but Dad and Stepdad both agree that Jess’ team is a pile of cow tools. Good Picks As Dad mentioned in his column, the quality of the draft picks this year was quite high. I used the Skater PP Model to analyze the relative strength of each draft pick compared to the other picks in each round. Here are some of my favourite picks: ·       Greg + Sofia – Vanessa Herzog (9 th Round) Before the draft started, Greg commented on being braindead following provincial championships. My first thought was that this was unlikely to affect Greg’s already generally braindead draft picks. However, Greg made the inspired move of leaving the call early and putting Sofia in charge of the last picks. Well done to Sofia for snagging Vanessa Herzog in the 9 th round. The rest of Pool D should be embarrassed that they let this happen. ·       Darby – Vanessa Herzog (4 th Round) ·       Molly + Claire + Victoria – Vanessa Herzog (5 th Round) For some reason, the Skater PP model really likes Herzog this season. Although her first 500m at World Cup #1 was rocky, I’m still (somewhat desperately) hopeful that she’ll have a strong season. Snagging Herzog in the 4 th and 5 th round isn’t nearly as insane as the 9 th round, but it’s still a solid move for Darby and MCV. ·       Eric + Emil – Connor Howe (7 th Round) and Mia Manganello (8 th Round) Despite their veteran status, Eric and Emil have consistently struggled to be good at Fantasy Speed Skating. Things might have changed this year, with Emil no longer trusting his terrible instincts and deferring to Eric to make the teams’ picks on draft night. The Skater PP model says that Eric and Emil made the best picks of both the 7 th and 8 th rounds. Good work boys! The full list of the best picks in each round according to the model is: Round Skater Team(s) 1 Miho Takagi Ben, Anna + Emma + Maya, Ryan, Joel, Eric + Emil 2 Min-Sun Kim Lindsey 3 Min-Sun Kim Anna + Emma + Maya, Simon 4 Vanessa Herzog Darby 5 Vanessa Herzog MCV 6 Peder Kongshaug  Paul + Jonah, Connor 7 Connor Howe Eric + Emil 8 Mia Manganello Eric + Emil 9 Vanessa Herzog Greg + Sofia 10 Ryota Kojima Rob   Bad Picks (Cow Tools) Not every pick on draft night was a good one. Here are the worst picks of the night according to the Skater PP Model: ·       Jess – Chris Huizinga (1 st Round) Jess’ pick of Chris Huizinga first overall was the worst pick of the draft. The first overall pick in every other pool was Miho. Huizinga would miraculously have to start earning points in the 500, 1000, and 1500 to be a reasonable first round pick. He hasn’t skated any of these distances since 2022. ·       Garrett – Chris Huizinga (2 nd Round) Hilariously, the worst pick of the second round was also Chris Huizinga. In Garrett’s defence, he was drafting skaters from the side of a rural Manitoban highway without using a list. This is not a recommended strategy for draft night. It looks like Jess won’t be the only Manitoban who’s hoping for a breakout sprinting season for Huizinga. ·       Ian and Reece – Chris Huizinga (4 th Round) The worst pick of the 4 th round? Also Chris Huizinga. For reference, the Skater PP Model seems to hate Huizinga, putting him at a mid-ninth round pick. This is a very tough look for both Chris Huizinga and for the managers who picked him so early in the draft. The full list of the worst picks in each round according to the model is: Round Skater Team(s) 1 Chris Huizinga Jess 2 Chris Huizinga Garrett 3 Tim Prins Kiersten + Hayleigh, Daniel, Taylor 4 Chris Huizinga Ian, Reece 5 Michele Malfatti, Hallgeir Engebraten, Metodej Jilek (Three-way tie) So many teams 6 7 8 9 Kaitlyn McGregor Cooper 10 Anders Johnson, Yankun Zhao (Tie) Anna + Emma + Maya, Luca Conclusion That’s all for now, everyone. Please remember to send your money to Simon and to submit your team name. A better team name is the number one way of boosting your Fantasy Speed Skating performance, so choose carefully! Please send your hate mail directly to Dad. If you have any questions or topics that you’d like me to explore in future Stepdad columns, please let me know in the comments. Yours in poorly-made tools, Stepdad