Tuesday, January 2, 2024

2023/24 Week 12 Betting Report

Week twelve of the NHL season has been logged into the history books and with it, we say goodbye to the year 2023. Some of you might be a little hungover today, but the Winter Classic was the only game on the slate, which gave us all plenty of time to research the busy slate of games tomorrow. Saturday night I sent a picks email exclusively to my free subscribers and my two biggest bets were winners, but my over/under picks were 4-5, leading me to small loss for the night. Otherwise, my conservative play style has mostly been a success in the 2nd quarter.
 
Before we go any further, it’s time for my obligatory *DISCLAIMER* it needs be noted that I’m not betting with real money. These are all fictional wagers in a spreadsheet. My mission is to engage in a mass betting campaign, picking a winner of every single game, every over/under, because it provides a complete dataset for macroeconomic analysis, which can be shared with you, shedding light on what worked and what failed. I’m also tracking the results of betting every outcome, to help me (and you) uncover previously unknown or newly emerging profit vectors. What started as a thought experiment has evolved into much more.
 
My blog has been moved to Substack this season and I’ll be repeatedly encouraging everyone to sign-up for a free subscription to alleviate my dependence on Twitter for traffic. I’m concerned that Elon will follow through on his threat to charge everyone for Twitter and ostensibly destroy his own company. Subscribers receive an email notification each time a new post is published, and even if Twitter stays free, the algorithm likes to hide Tweets with links so you don’t leave. You’ll also receive weekly exclusive picks emails that are not posted on my blog.
 
Another new year is here and one of my annual traditions is posting a list of sports predictions. It started with an easy 11 sports predictions for 2011, but now we’re up to 24 predictions for 2024. This is getting to be more and more work the deeper we delve into this century, but alas I’m up to the task. Olympic years are a little easier. Today is a good day to think about the year ahead, and you can read more here. If you’re into movies and such, my nephew and I do a similar gimmick on his blog. We are predicting a little housecleaning over at Disney in the year ahead, read more here.
 

The week started off with underdogs jumping out to a big lead on the moneyline, before regressing later in the week. By the time the dust settled and the year ended, favorites had emerged victorious. Monday to Friday, my investment in favorites moneyline was too big, but my profit in underdogs +1.5 goals was enough to make up the difference. December 2023 might be the least amount of fake money I’ve laid on pucklines -1.5 goals in any month since October 2019, except maybe playoffs. Certainly, in seasons where tanking was more prevalent, those favorites were winning more games convincingly.  Exploiting bad teams has generally been my best skill as a bettor, so this sudden onset of parity has been problematic for me. I need new revenue streams. That’s where the models come into play.
 
 
My Team of the Week: San Jose Sharks, +$658
 
The San Jose Sharks were my most profitable team this week, not leapfrogging Vegas until the Sunday late game, thanks entirely to a late Josh Manson empty net goal. All my gains on favorites -1.5 goals would have evaporated if Manson missed that open net. The Sharks losing comfortably to Edmonton in Magnus Chrona’s first start (a pick shared in my report last week) was my other big puckline hit of the week, so I’m starting to get comfortable again on that front. Maybe not too comfortable. I did not do a write-up for Sharks-Wings tomorrow, but I’ll have a minimum wager on Wings ML -192 (which is a little expensive for road Wings).
 
The Vegas Golden Knights only played 2 games this week, but I went 4 for 4 on my picks. I hit the Ducks ML +180 and the over on Wednesday, which was the best pick in my betting preview last week. I then doubled down on LA +1.5 goals and the under, which hit the next night (also shared in my betting report). Then the team was off until the Winter Classic. They have lost 5 of their last 7 games as the mid-season Stanley Cup hangover continues. They have been without their best goalie Adin Hill who only played a few minutes in December (stopping 2 of 3 shots). I have bet their opponent in 7 of their last 10 games.
 
 
My Worst Team of the Week: New York Rangers, -$400
 
My struggles picking the winner of New York Rangers games continues, as I’m posting a significant loss on the season both betting them to win and lose. They are first place in the NHL going 25-10 thus far. 78% of my money bet for the full schedule was on Rangers to win and yet somehow, I’m running a negative balance on that pick. I’m doing well on both their overs and unders which is why they aren’t lower in my Profitability Ranks, but it’s frustrating. I may need to schedule an autopsy sometime in the next week to figure out how the hell this is happening.
 
My second worst team was the Winnipeg Jets, thanks entirely to their loss vs Chicago (sustaining a $400 loss). I screwed up and bet Minnesota Sunday, because I was so busy preparing my Sunday picks on Saturday afternoon that I hadn’t even noticed Kaprizov was injured a few hours earlier when picking Wild ML. Thankfully it was just a minimum wager (because otherwise I’m on the Jets bandwagon) and no Kaprizov helped cash the under, so I came out of that game with a $5 gain. I’m not too worried about their loss to Chicago, but a few more of those and perhaps it will be time to start pumping the brakes on my Jets love.
 
 
My Week 12 Results
*Note* “Overall Market Bets” based on betting exactly $100 on every outcome.
 

Favorites -1.5 goals finished the week as my best category, but that was from only 3 bets, Edmonton vs San Jose, Colorado vs San Jose, and Ottawa vs Buffalo (which was a tip from my Expected Goals model that I tailed). The category as a whole did turn a profit, thanks to “mild” road favorites and “big” home favorites (the dividing line between mild and big is -150 and +150), but aside from San Jose, I’m not convinced it’s safe to jump whole-heartedly back in love with faves -1.5 goals. On the whole, it was actually a much better week for favorites +1.5 goals on the alt puckline than -1.5 goals.
 

Note to self: This was a good week to bet Pittsburgh, Boston, Carolina, and Ottawa, all teams that have shaken my confidence at some point this quarter, but were solid bets in week 12. My lack of faith in Pittsburgh and Carolina was costly, Florida too. Meanwhile my faith in the Canadiens, Islanders, Jets, Lightning, and Canucks were similarly costly. The Toronto Maple Leafs were the most profitable to bet against, which is why I’m taking the Kings tomorrow. The Sharks went 0-3 but didn’t crack the overall “bet against” leaderboard because the line prices were very expensive. You needed to go big to pull a similarly sized profit.
 
 
Team By Team Profitability Rankings

These profitability rankings are based on the sum of all my bets per team, including where the money was won or lost. Each week my new Profitability Rankings will be based on all the games in the season, not just what happened this week.
 

 
Me vs Myself
 
For those of you who are new here, the “Me vs Myself” section outlines my competition against my betting models, in my vain attempt to prove my own decision making is superior to the models that I’ve created. Me vs my creations. But rather than explain myself every week, a new post was published outlining how all these models make their decisions. For the full breakdown, click here. Below is the graphic for how my best performing and most prominent models have performed in this shortened week. The Fair Line Estimator model is in my starting line-up, but I have not yet merged it into the worksheet that makes the graphic.
 

The big winners among my models last week were Max Profit (formerly known as Megatron) who received a name change that’s more congruent with bet selection. It sums all models profit betting each outcome with each team in the last 30 days using the “max” function in Excel. The name is Max, but sometimes he’ll be affectionately referred to as Maximus. This was not a good week for Maximus, but the slide began before the name change, so I’m not going to blame that for jinxing the hot streak. I’m still trying decide if it’s more entertaining ascribing human pronouns, feelings and emotions to my betting models, or just treating them as “it”. Maximus is definitely a “he”.
 
I was very excited to see Betting Venues have another strong week, officially ending its second quarter slide. It did very well betting favorites -1.5 goals, and I’m hoping this resurgence is sustainable so the advice can become trustworthy again. Keep in mind, this was updated so it includes data from the current season, so this should continue getting smarter as the season grows longer. It might even be better if I detach it from the older games. Does the shortened 2021 schedule matter? Several buildings were empty for most of the season. Is that data still relevant?
 
My Game Sum model was officially terminated this morning, but will continue with over/under, where it holds a seat on the “Over Under Council”. I’m unsure about algorithm deactivation ethics, whether deleting Game Sum constitutes murder. This is the new world artificial intelligence has thrust upon us, at what point does A.I constitute life with human rights? Should the stupid versions of A.I not be entitled to those same rights? Game Sum was a concept that I believed in, hence why I continued sharing the picks when the results were lacking. What has been the most profitable wager involving either of these teams in the last 30 days? Feels super relevant, right? But maybe the answer is, sportsbooks also know what’s been costing them money, adjusting lines to compensate.
 
I’m up to 15 active models with only my top 5 being shared in my picks graphics. All my goalie-based models suck, and that might just be the nature of goaltending replicability. There might not be any winner behind that curtain, but I’ll continue trying until something emerges. I’m still building new models every week, but mostly they’ll be replacing those that have been deemed completely useless. One new model build today was “Expected Goals Line Value” which estimates what the line should be based on xGs last 30 days, then makes a bet. Like the other one, it is trained on each scenario, and if it makes a minimum bet, it was minimally profitable. It only scales up bets when profitable within that permutation.
 

There was a scoring surge for 2 weeks heading into the Christmas break, and it did subside when play resumed (which I actually predicted in my preview last week, having noted a decrease in post-Christmas scoring last season). Unders finished the week 22-18-5 for $191 profit if you bet them all. My primary algorithm (aka OU Prime) had a bad week, but I deviated quite a lot, following Max Profit on some unders (anticipating unders to be better). Most models got stung by the drop in scoring, except Full Season Average, which is one of the worst performing for the full schedule.
 
This is also where my picks for tomorrow are shared, and we’ve got a busy Tuesday to compensate for a light Monday. I’m not sharing picks for every game, just my favorites. The good news is that because the Monday schedule only has a single game, there’s less new information coming in while my picks are being calculated. I don’t need to keep checking what’s happening today when I’m outlining picks for tomorrow, which helps. It sucks when you do the work and break down all the angles for a game, but there’s a major injury while you’re doing the work, requiring recalibration.
 
 
CAR @ NYR:
 

At first glance this one made me nervous as I’ve struggled getting a read on both these teams. They both have a tendency of letting me down when I bet them to win, and playing their best hockey when I bet them to lose. I’m just going to play it safe and bet Canes +1.5 at -225. Carolina has covered +1.5 in 13 of their last 15 road games. That’s why Max Profit is all in. However, my Betting Venues model (which has been resurgent the last 2 weeks) loves Rangers -1.5 goals. Turns out Carolina is 3-7 in their last 10 trips to MSG. Where they are a net loser +1.5 goals. Should be Kochetkov (.915 SV% last 30 days) vs Shesterkin. My Expected Goals models are betting opposite moneylines. The line value version doesn’t like dogs very much. This over/under is a tough one. If it stays at 6, I’m just going to take the higher payout. The line has moved since I recorded it, and now the over has the higher payout. At 6.5 I’d bet under.
 
 
BOS @ CBJ:
 

I’m not sharing a pick for this because I’m terrible betting Columbus to win or lose, and there was significant division among my models. Except over 6.5 goals received strong support.
 
 
MTL @ DAL:
 

Didn’t know I’d like this game until checking out my models, but there’s a lot of love for the line value on Montreal, especially on the puckline +1.5 goals at +110. Wedgewood has started 7 in a row, and the new kid has to play eventually. That’s also why I’m taking over 6.5 goals. My renovated Expected Goals model has Dallas +1.5 goals, and while they do enjoy the xG advantage over Montreal, home teams in that range aren’t profitable. When either xG model doesn’t scale up their bet size, it’s because those circumstances were barely profitable. The Habs are a good road team, covering +1.5 in 4 of their 6 road games on this current trip. There in lies my biggest concern (aside from Dallas being good), Shorting Travel has a big bet on Dallas -1.5 goals because the Habs have been on the road a long time, with Christmas in between (adding more travel).
 
 
CHI @ NSH:
 

At first glance this game was going to be a stay away because the price on Nashville felt a little expensive, but seeing Chicago has rolled out Mrazek 3 games in a row, this will almost certainly be Soderblom. My only reservation limiting my bet size is that the xG models don’t love Nashville. One is putting a minimum bet on Preds +1.5 goals (which means it’s barely profitable) and the other is taking Chicago. Under 6.5 has been a better bet with these teams in the last 30 days (see Max Profit), but I’m going to take the over because probably Soderblom.
 
 
CGY @ MIN:
 

Minnesota would be my pick here if not for the Kaprizov injury, so I’ll be taking the Flames ML +120 (which has already moved to +102). My models support Minnesota stronger than Calgary, but none of them have seen the Kaprizov news yet, or at least had time to absorb the impact into their projection. I’m also taking under 6 goals.
 
 
WPG @ TB:
 

There was substantial love among my models for Jets -1.5 goals, with both Max Profit and Betting Venues running a big positive balance on that pick in the last 30 days. I’m going to tail at +185, but will limit my bet size because this should be Vasilevskiy. The good news is that the Jets have won their last 2 home games vs Tampa, with Hellebuyck beating Vasy straight up in both (covering -1.5 goals in both while the Jets were underdogs). This time they are favored at -130, but the last 30 days fair line estimator thinks that should be -200. I also love under 6.5 goals.
 
 
NYI @ COL:
 

I’ve already reached my goal for picks shared, but decided this one needed to be added because of my overwhelming model support for Colorado, including both my Expected Goals models and Max Profit laying the maximum on Avs. The only reservation is that there’s a high probability of Prosvetov in goal (which is why I’m staying away from the puckline), but that only strengthens my support for over 6 goals.
 
 
FLA @ ARI:
 

I’m betting the Arizona ML and most of my models are also taking the Coyotes, but Florida is a good team and I’m not in love with that pick. The only reason I’m sharing a pick for this game is because I love under 6.5 goals. This is among the most my Over Under Council has loved a pick.
 
 
TOR @ LA:
 

There’s not much to write here. This is more games than I was planning to cover, but with the state of the Leafs goaltending and their slumping, I like the Kings moneyline -130. Most of my models also prefer LA. The over/under on the other hand is a little dicey and I’m taking over 6.5 but don’t love the pick.
 
 
PHI @ EDM:
 

This game was targeted because the Oilers are returning from a long road trip, and some of my other models also like the Flyers (who are a good road team). Though both my Expected Goals models are making max bets on Edmonton (one puckline, one moneyline). I’m not sure what’s worse, Edmonton returning from a long road trip or Flyers being on a long road trip. Granted this permutation was examined in the model construction and it was deemed visitors -1.5 goals was still the most profitable choice. I’m putting a minimum bet on Philly ML +160 because the last 30 days fair line estimator thinks that should be +133. But Edmonton can be scary. I’m more confident in under 6.5 goals.
 
 

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