Professor MJ’s
Sports Betting Strategies
NHL – The Scoring Drought
Sports Betting Strategies
NHL – The Scoring Drought
In this article, we are going to investigate the following situation:
When a National Hockey League team goes through a streak of games where they struggle to score goals, should we bet or fade them in their following game?
If you have been following me a little bit, you know I tend to go against the general betting public. For this reason, my initial guess in the current setting is that we should probably bet the team whose offense has been experiencing some difficulties lately. Why not verify this gut feeling through empirical data?
The results presented in this statistical study are based on historical data from the 2007/08 to 2015/16 regular seasons. It contains data on over 10,000 hockey games.
Suppose Team A has scored very few goals in each of its past “x” games. We wonder whether we should bet or fade Team A in their next meeting (“fade” = bet against).
A) REQUIRING A LOSING STREAK
First, we are going to necessitate the team whose offense has been struggling lately to have also lost all of those recent games.
1. The 2-Game Losing Scoring Drought
We kick off this study by investigating the case where Team A not only lost its previous two games, but they lost them by scoring very few goals.
1.1 Basic Exploration Under the 2-Game Losing Scoring Drought
Assume Team A was shutout in its last two games (obviously, both losses). How did they fare in their following match? How about if they lost both previous games by scoring a maximum of one goal in each contest? Or a maximum of two goals per game? Or a maximum of three goals per game?
Below are the results from placing $1 bets on or against Team A after such a 2-game losing scoring drought (based on the data from the 2007/2008 to 2015/2016 seasons):
NHL-ScoringDrought01.PNG
Oh. My. God. The results are AMAZINGLY good!!
Not only do we find some very lucrative cases, but it seems super clear that we are better off betting Team A, as opposed to fading them. That fits the contrarian rationale described earlier.
The most profitable situation (by far!) occurs when betting Team A after it lost its previous two games by scoring a maximum of three goals per meeting.
This case led to an astounding $79.21 profit.
1.2 The Road/Home Split Under the 2-Game Losing Scoring Drought
We are off to a fantastic start with HUGE gains already! Is it possible that we can improve even more upon those results?
A hidden factor that might come into play is the location of the game. Based on this hypothesis, let’s break down the results from the table above into two separate cases, depending on whether Team A played on the road or at home.
NHL-ScoringDrought02.PNG
NHL-ScoringDrought03.PNG
Do you remember how we won around $79 from betting Team A following a two-game stretch where they lost both meetings by scoring three goals or less per game? Based on the couple of tables above, this amount can be broken down as +$85 on the road versus -$6 at home.
The conclusion could hardly be clearer than this: we definitely should focus on road teams only!
Based on the evidence, we retain a first potential winning system:
• Strategy #1: Betting Team A when playing on the road after it lost two straight games by scoring a maximum of 3 goals per match. Profit = +$85.03 over 1818 games. ROI = Return On Investment = 85.03 / 1818 = 4.7%.
Let me make sure you realize what’s going on here: we have obtained a 5% ROI on a sample of close to 2,000 games. That’s right, 2,000 games!! That is quite an accomplishment! The results are therefore extremely reliable.
1.3 The Odds Split Under the 2-Game Losing Scoring Drought
Let’s dig a little deeper with respect to the potential betting strategy described above. Are there any indications that certain sets of odds provide more lucrative situations?
Let’s assess the role of the money line under the current setting. In order to do so, I have separated the possible money lines into 11 ranges. We then look at the profit made within each such range.
We now take a look at how the $85.03 profit generated from the first strategy was distributed as a function of Team A’s odds:
NHL-ScoringDrought04.PNG
The striking finding from the table above is that we lost money on big and moderate favorites. Why not leave them out, then?
Therefore, we are going to focus on the following revised betting system:
• Strategy #1B: Betting Team A when playing on the road after it lost two straight games by scoring a maximum of 3 goals per match. Bet only if Team A’s money line is above 1.80. Profit = +$90.53 over 1656 games. ROI = 5.5%.
Unbelievable. We’ve managed to increase the profits even more and the reasoning behind the slight modification makes sense. Generally speaking, we are better served by betting underdogs than favorites (still coherent with the contrarian approach since “square” bettors prefer putting their money on favorites because it feels more comfortable).
1.4 The Season Split Under the 2-Game Losing Scoring Drought
A good way to gauge a system’s reliability is to check its performance across years. We hope to find consistent winnings, as opposed to big up-and-down spikes in terms of yearly gains.
Without further ado, let’s inspect the season-by-season performance of the lone betting strategy we have retained thus far:
NHL-ScoringDrought05.PNG
Very nice!!! We distinguish seven winning seasons versus only two where we ended up in the red (the 2009/10 and 2012/13 seasons).
The worst season produced losses of about 6 units, which wouldn’t take a huge blow to your bankroll.
You can hardly hope for cleaner results. It looks like we have a valid system that has a promising outlook for the future!
2. The 3-Game Losing Scoring Drought
We redo the same analysis, but this time in cases where the length of the losing scoring drought was three. In plain English, we look at how Team A did after undergoing a 3-game stretch where they lost all of them, while scoring very few goals in each contest.
2.1 Basic Exploration Under the 3-Game Losing Scoring Drought
Let’s pretend we had placed $1 bets after a team underwent such a 3-game losing scoring drought:
NHL-ScoringDrought06.PNG
Once again, we have strong indications that betting Team A is a much better option than betting against them.
The highest profit figure is $69.02; can we increase it by concentrating on road games only (as was the case before)?
2.2 The Road/Home Split Under the 3-Game Losing Scoring Drought
We now break down the results above contingent on the location of the game:
NHL-ScoringDrought07.PNG
NHL-ScoringDrought08.PNG
Uh? Strangely enough, we did better off home teams (+$58.62 for the situation we are focusing on) rather than road teams (+$10.39).
Since the winnings were more substantial when betting Team A irrespective of the location of the game, this is the system we are going to keep track of:
• Strategy #2: Betting Team A after it lost three straight games by scoring a maximum of 3 goals per match. Profit = +$69.02 over 1898 games. ROI = 3.6%.
2.3 The Odds Split Under the 3-Game Losing Scoring Drought
We have found one system worth of note in this section thus far. Let’s see how the $69 profit was obtained as a function of the money line.
NHL-ScoringDrought09.PNG
We made money in all 11 categories, except in the 2.05 – 2.25 odds range where we lost a HUGE amount of cash! We also lost a tiny amount in the 2.50 – 2.75 range.
However, who would trust a betting system indicating to bet Team A except if its money line lies between such specific values as 2.05 and 2.25? It just wouldn’t make sense!
Consequently, we are going to contend that Strategy #2 works well no matter the odds.
2.4 The Season Split Under the 3-Game Losing Scoring Drought
Did the second strategy perform well across all seasons? Let’s find out!
NHL-ScoringDrought11.PNG
An optimistic person would argue that we won money in six out of nine seasons, which is good!
However, a more realistic perspective raises a big red flag: we lost a substantial amount of cash in two separate seasons: 2010/11 and 2014/15. In fact, losing 15 units is a big deal. If your average bet is $1,000, that equates to losing $15,000 over a single year. Ouch!
There is absolutely no doubt that Strategy #1B is superior to Strategy #2. Not only were its winnings bigger, but, as was just demonstrated, the second strategy’s consistency is very questionable.
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