Welcome to my Week 17 NHL Betting Report, featuring my
Gambling Power Rankings, results by category, my best bets, and my best/worst
teams to bet on or against. It should be noted that I’m not betting with real
money. These are all fictional wagers in a spreadsheet. If you’re betting with real
money, you should not be betting on every single game, only the games you like
the most. Whereas I’m betting on every game, every over/under, because it
provides a complete dataset for macroeconomic analysis. If you followed my
weekly reports last season, one upgrade is that I’m now logging alt pucklines
for every game, favorites +1.5 goals and underdogs -1.5 goals. Click here to
see my Week 16 Betting Report.
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last 3 years of hockey betting, you should check out my new book; breaking it down by team, by category, by strategy, by season. There is
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learned, market trends, team-by-team analysis. What impact did the pandemic
have on hockey betting? The market differences between these 3 seasons are
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My Weekly Profit: $622
My Season Profit: $14,283
The All-star break has come and gone with the quarter
pole just 2 weeks away. A few days after the third quarter begins, we’ll get to
enjoy the drama of the NHL trade deadline, when there will theoretically/hopefully be a
mass exodus of talent from the bottom half of the league to the top half. We
have already seen the Islanders get better and the Canucks get worse, and soon
others will follow. Because of the reduced schedule for All-star festivities,
this report will be covering a 2-week period, but I’ll still refer to that span
as “this week” since this is a "weekly" review.
The break might have been an opportunity for some
hockey pundits to relax and take some time off, but for me it was an opportunity
to free some time for an over/under deep dive. The results of that will be
outlined in far greater detail in my Third Quarter Betting Report, but to make
a long story short, my primary algorithm has been supplanted by a sexy new
hybrid model designed to diminish the impact of outlier games. Instead of
average goals in each team’s last 5 games, I’m using the average of the last 8
games minus the highest and lowest scores.
The problem is, it’s losing money this season when the
difference between the average and the betting total is less than 0.25 goals.
My experiment parameters requires a wager on every game, so I’ll need to make
“judgement calls” on that grey area. My previous algorithm did actually perform
much better than most of the 8 other models tested, and would have been achieving
much better results if I was only betting on the games it liked by at least
0.25 goals. Forcing a bet on every game lowered my rate of return. It ran a
profit on those “close calls” in the second half of last season, but only
because overs were dominating. Last season was my first tracking O/U, and
damned near every algorithm you could have attempted was likely to have turned
a profit because overs were so lucrative.
One of the especially prosperous periods was
immediately following the All-star break, which I was aware of, but it wasn’t
priced into my algorithm. I did lean towards overs in my judgement calls, but
my general strategy tends to be waiting for a trend to start happening before
investing too much money. Certainly when it comes to over/under, history hasn’t
been repeating itself. We’re not seeing the same spikes in scoring that we did
last season, which was uniquely positive for overs. Also, if the post All-star
boom was a sure thing, oddsmakers would have just set the totals higher to
compensate. Hint: that didn’t happen, as the average O/U total was the same as
it was the week prior.
In this small sample that I have been making an
increasing number “judgement calls”, I’m still consulting the 8 other models from
my “deep dive”. During the break, my “Game Summary” worksheet where all my
decisions are made was updated. Instead of just using 1 primary algorithm for
over/under, I’m looking at what every model recommends for tomorrow’s game. Sometimes
my new hybrid isn’t sure, but there’s a strong majority opinion from the other
8. But more often than not the hybrid is more accurate than all of the others,
so when it’s sure, I’m not overruling. My judgement only plays a factor when
confidence is less than 0.25 goals.
The success rate of my O/U “judgement calls” the last
3 weeks feels unsustainably high. A cold streak feels inevitable. From Jan 30
to Feb 10, I generated $533 on over/under wagers before losing -$447 on the weekend. Who caused problems? Well Ranger unders were on a 6-2 run before going 0-4
this week, and it took me a few games to adjust. Vancouver overs are on a 12-2
run after going 4-0 this week. Sadly my new algorithm recommended the under in
3 of their games, but only because they played against 3 low scoring opponents
(especially the Islanders and Red Wings). Detroit and New York had been
averaging significantly fewer goals per game than the betting total, but they
were high scoring with the Canucks on the visiting bench.
The Vegas Golden Knights were on a 1-7 run before
winning all 3 games this week, and that’s despite losing Mark Stone and Logan
Thompson to long-term injury. Needless to say, I was not aboard the Vegas
bandwagon for that reason, but did bet them to beat Minnesota on a back-to-back.
Their other wins were against Nashville and Anaheim, so this good performance
isn’t necessarily the start of a hot streak. But I’m at least lightly pumping
the brakes on betting them to lose.
I do happen to be a passenger on two bandwagons that
had a bumpy ride this week, and that was Seattle & Buffalo, going a
combined 1-5. The Sabres went 3-1 last week then got hammered by Carolina and
Calgary, but fortunately I only had small bets on Buffalo because they were
underdogs in both matches. I’m more concerned about the state of the Kraken,
who only have 4 wins in their last 11 games. The good news is that their one
win this week was against Chicago on a back-to-back, and I laid $500 on the
Seattle moneyline. We’ll see, I may be pumping the brakes on my Kraken
enthusiasm.
*Note* “Market Return” is based on betting exactly
$100 on every outcome.
My Season Profit: $14,283
My Week 17 Results
2) Home moneyline: +$517 2) Shorting back-to-backs -1.5: +$269
3) Shorting back-to-backs ML: +$411 3) Road underdogs +1.5 goals: +$243
2) Unders: -$245 2) Heavy favorites -1.5 goals: -$732
3) Underdog moneyline: -$245 3) Unders: -$571
(over/under/hedges not included) ($100 ML + $100 PL+1.5 + $100 PL-1.5)
2) Winnipeg Jets: +$337 2) New York Rangers: +$885
3) San Jose Sharks: +$266 3) Montreal Canadiens: +$715
(over/under/hedges not included)
2) Anaheim Ducks, -$300
3) Edmonton Oilers, -$280
(over/under/hedges not included) ($100 ML + $100 PL+1.5 + $100 PL-1.5)
(over/under/hedges not included)
2) Vancouver Canucks, -$250
3) Montreal Canadiens, -$250
2) Vancouver overs, +$345
3) Dallas unders, +$300
These power rankings are based on the sum of all my bets per team, including
where the money was won or lost. Each week my new power rankings will be based
on all the games in the season, not just what happened this week.
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