Tennis record wins and NFL

US Open creates record breaking profits

The Sportspunter tennis model has never seen a better week that the one just gone, the first week of the US Open. It was the massive outsiders that came up trumps in both the men’s and the women’s tournaments. For the men we had big winners on Junqueira (5.23), Ferrero (5.23),  Monaco (4.23), Muller (4.01), Kunitsyn (3.73) and Sock (3.04). The womens tournament weren’t without their share of winners with Pennetta (5.17), Lucic (4.05) and Soler-Espinosa (2.80), along with plenty of odds on favourites winning.

The men’s tennis model is now up 5% ROI for the year, and incredibly up 9% since the Australian Open earlier in the year, and has profits of 14% ROI for the past two months. The women’s model also has profits of 6% ROI since mid June this year.

There are just a couple of months of tennis left to go in the year, so there’s every opportunity to jump on board while the going is good. Click here for more information or here for the betting results.

NFL set to start this Thursday

Sportpunter’s NFL season is set to start this Thursday. And once again it will be free of charge for the first few weeks of the year. Last year, in our inaugural year for the model, we made a decent profit. We only just made a very small profit in head to head betting (0.2%), but did very well on the totals, tallying up 6.8% ROI. Not bad for late lines!

One of the benefits of the NFL model is that it takes into considering weather, which has a large effect on teams as well as scoring opportunities.

This year we will hopefully do as good or better as last year, and all the details for the up coming season is shown on the website here. An analysis of last years results will be on the website shortly.

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AFL Priority Picks – An Alternative Solution

Following Collingwood’s 138 point thrashing of Port Adelaide, Mick Malthouse fears that such one sided matches will turn supporters off the game that they love. He is correct in that opinion and this year has indeed seen some massive one sided affairs. Since 1997 we have averaged 3.9 games a season where a team has won by over 100 points, however this year these thrashings have occurred on nine occasions. Admittedly three of them are from new team the Gold Coast Suns, but the differential of 6 matches this year is still above average.

Malthouse fears that free agency will make the issue worse, but Malthouse has also been a critic of the priority pick, a method which virtually landed Collingwood with AFL star Scott Pendlebury. Priority picks are put in place to stop teams constantly being at the bottom of the ladder and hence making the competition more even with less thrashings that Malthouse so fears.

But one of the reasons why Malthouse is so against the priority picks system is because of the situation were teams can tank games in order to acquire better picks for their future. Recently ex Melbourne coach Dean Bailey suggested that he did everything possible to help Melbourne obtain better players for the future, and that was by making sure that they didn’t win games late in the season.

I remember attending Hawthorn’s match against Richmond in Round 21 2005. If Hawthorn lost they would virtually obtain a priority pick for 2006. They were leading at half time by 31 points at half time, of which even me, as a Hawthorn supporter, was surprised and hoped that they would lose the match. A win in an already lost season was inconsequential. A loss and an extra priority pick surely for Hawthorn, must have been the priority.

Richmond thankfully went on to win the match in the dying seconds as they did against Melbourne in 2008. Whilst supporters should be happy for teams near the bottom to acquire some sort of priority picks to make the competition more competitive, having teams lose games on purpose to obtain them compromises the game.

Simply removing them, in my opinion, is not an option. The AFL should develop a method in which priority picks are still present, but are not an incentive for teams to lose on purpose. And this is what I intend to do here.

With 18 teams in the competition next year, this means that 10 teams will miss out on playing finals, of which all of them will receive a priority pick. But before you cry out loud in disapproval, the degree to which the priority pick is handed out is dependant on the position that they finish on the ladder.

A team that finishes last on the ladder will achieve an extra pick at pick number 5, whilst someone finishing second last will achieve an extra pick at pick number 10. Conversely the next lowest team at pick number 15, and then 20. The following is a table outlining what pick is to be given to teams based on their position on the ladder. It also shows the average number of games that a player picked at this point in the AFL draft has played since the year 2000

PosPriority PickAv. #Games
18578
171050
161543
152058
142533
133056
124064
115031
106039
97031

As you can see above, the pick number that a team receives as a priority pick increases the further a team is up the ladder. The average number of games that a player has played since the year 2000 also gives an indication about how important that pick is. Note the large average number of games at picks 30/40 due to father/sun picks that would normally not be included in the analysis.

Hence we have a situation where teams that finish near the bottom of the ladder are given an opportunity to improve their playing list the following year, however the difference between finishing last and second last (for example), or 13th compared to 12th is not enough to warrant a team to lose a match on purpose.

There could be an argument that teams finishing just out of the finals (positions 9th and 10th) don’t deserve any form of compensation, but draft picks 60th and 70th rarely provide long term star players and are quite often passed by teams.

Mick Malthouse, in my opinion, is only partially correct that the priority picks should be scrapped because it compromises the game, allowing teams to lose on purpose. I believe they should stay, but should be adjusted similar to that above so that teams near the bottom of the ladder can be compensated, whilst not giving too large a compensation so that teams have no intention to win matches.

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NBA Season wrap-up

The NBA season finished not that long ago with Dallas claiming the championship over Miami. For the inaugural year of Sportspunter’s predictions it definitely was a good one. Head to head betting made a very nice 3.9% ROI, line betting. Line betting made a small profit at 0.2% ROI whilst totals betting recorded a very healthy 5.3% ROI throughout the year.

Full betting histories are available here: http://www.sportpunter.com/result-history/basketball-results/nba/

We previously did some articles on release of the new model outlining how we thought the model would go. We showed here and here that betting on the line should prove marginal profits, which is what we achieved last year. We predicted that totals should achieve around the 1.5% to 4.5% results. This year outperformed previous results which is good to see.

We also predicted that most of the profits would come in the early stages of the season which is what we found in the 2010/11 season. Unfortunately I was unable to gain head to head odds before the start of the year, however with head to head results performing better than the line betting this season, this might be the way to go in the future.

Either way, a very good start to the model, and we should hopefully see better results to come in future years. A full statistical analysis shall be performed closer to the start of the next season.

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Sportpunter’s NHL summary for 2010/11

Boston have won the Stanley cup with an impressive 4-0 away win over Vancouver. Our model gave them a 46.4% chance to win the decider, and at odds of 2.37, was a small but handy overlay. Unfortunately the overs bet of over 5 goals went down.

That being said, it has been another successful season for NHL. Totals betting was once again the key market, with the Sportpunter model making a very impressive 5.8% ROI throughout the year. The playoffs weren’t so kind however. Before the playoffs took place we were winning at a rate of 7.6% ROI.

Since 2005 we have made 6.3% ROI, so this years record is on par with the long term average. Full results available here.

Still a very successful NHL season, and I am looking forward to next season where hopefully the long term positive trend will continue.

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How many wins does it take to make the finals in AFL?

With 17 teams in the AFL this year, and only a top 8 available for finals, to make the finals one would have to win by more than the 11 to 12 matches for the year. This year is a little different. With 9 teams missing out, along with supposedly easy beats Gold Coast, perhaps teams will need to win more matches than normal to make the finals and the top4.

Gold Coast haven’t proven as easy to beat so far this year, defeating Brisbane, who have yet to win a game and Port Adelaide, who are also swindling next to last on the ladder.

Gold Coast have yet to play many big teams, perhaps on purpose, with their only 2 games against finalists in 2010 being Carlton, who managed to just slip into the eight, and the Western Bulldogs who finished fourth.

So that being said, with an extra lower ladder dweller in the lineup, and 9 teams missing out on the finals, more wins for teams is necessary to make the finals.

Also, considering that we’ve had three draws this year, this puts an extra spanner in the works.

So how many games does a team need to make the top 8 and the top 4? The following is from a simulation with my AFL model:

Wins Points %In8
8 32 0%
8.5 34 0%
9 36 0%
9.5 38 0%
10 40 3%
10.5 42 14%
11 44 29%
11.5 46 57%
12 48 83%
12.5 50 94%
13 52 99%
13.5 54 100%
14 56 100%

As one can see from above, 11 wins for the year is not necessarily going to be enough to make the finals with only a 29% chance. 11 wins and a draw will get you just over half the time, whilst 12 and a half wins will get you there 94 times in 100.

To make the top4 and have the double chance, more wins are necessary. 14 wins might sneak you in, but at least 14.5 or 15 are realistically required. With Collingwood and Geelong on six wins from six starts, the probably only need to win 8 or 9 from their remaining 16 matches to make the top 4.

Wins Points %In4
12 48 0%
12.5 50 1%
13 52 5%
13.5 54 14%
14 56 33%
14.5 58 53%
15 60 75%
15.5 62 87%
16 64 96%
16.5 66 99%
17 68 100%
17.5 70 100%
18 72 100%
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Late season Super 15s betting results

The Rugby union Super 15s season is getting to the nitty gritty end of the home and away season.

Shown below is how the model has gone based on round number as well as $Profit from that round until the end of season. The theory is that with such a short season and teams changing around, the model takes a little while to get used to the teams.

This table ignores the incredibly amazingly stupid second year the model was operating (2004) (as well as skipping 2003), because I believe that despite the amazing results (40%+ ROI for the year), it is an outlier.

Round $Bet $Profit %ROI $Profit to End
1 $6,510.10 -766.57 -11.8% $         964.72
2 $6,122.79 254.25 4.2% $       1,731.29
3 $5,573.77 -217.14 -3.9% $       1,477.04
4 $6,617.97 1284.63 19.4% $       1,694.18
5 $4,794.55 -1089.32 -22.7% $         409.55
6 $5,504.51 -508.99 -9.2% $       1,498.87
7 $4,451.92 -121.26 -2.7% $       2,007.86
8 $4,858.73 -191.76 -3.9% $       2,129.12
9 $3,348.58 -948.9 -28.3% $       2,320.88
10 $2,366.74 -290.58 -12.3% $       3,269.78
11 $2,427.62 2177.6 89.7% $       3,560.36
12 $3,372.15 626.8 18.6% $       1,382.76
13 $2,180.43 1618.98 74.3% $         755.96
14 $1,840.83 -349.37 -19.0% -$         863.02
15 $1,294.96 250.23 19.3% -$         513.65
16 $763.88 -763.88 -100.0%

Hence maximum profits can be shown to be betting from around rounds 10 to 11 for 5-6 weeks, where approx a 25-30% ROI has been made since 2005, and that is even being conservative.

Results for round 11 just gone have highlighted this. $2,039 was bet for a very nice profit of $625. This taking the yearly profit to $1,722 and 11.8% ROI.

The Super 15s model is completely free of charge, so make sure you jump on the end of season great results.

The free Super 15s predictions are available here

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Sportpunter’s NBL Season 2000/11 analysis

New Zealand have won the NBL championship for 2000/2011 defeating Cairns in the 3rd of 3 finals by 18 points. It was a well deserved win after finishing clear on top of the ladder at the end of the home and away season.

But how did Sportpunter’s NBL model go? Our totals betting seemed to go very well, picking up from a slump early in the season to finish off with a very impressive 9.4% ROI from 90 bets. However the amount won was similar to the amount lost on head to head betting.

Shown below is the amount that we bet for and bet against certain teams throughout the year:

Team #BetsFor #WinsFor %WinsFor $BetFor $ProfitFor %ROIFor
Adelaide 12 3 25% $  1,668.40 $   144.22 9%
Cairns 4 3 75% $  1,245.48 $1,205.29 97%
Gold Coast 1 0 0% $     124.99 -$   124.99 -100%
Melbourne 9 1 11% $  1,654.85 -$1,555.16 -94%
New Zealand 6 4 67% $  1,407.99 $   181.55 13%
Perth 14 4 29% $  3,733.49 -$1,500.75 -40%
Sydney 18 4 22% $  4,140.94 -$1,796.83 -43%
Townsville 8 6 75% $  1,944.89 $1,006.94 52%
Wollongong 14 7 50% $  2,853.70 $   389.43 14%
Team #BetsAg #WinsAg %WinsAg $BetAg $ProfitAg %ROIAg
Adelaide 4 2 50% $  1,238.32 $   183.83 15%
Cairns 11 4 36% $  1,970.91 -$   366.44 -19%
Gold Coast 18 11 61% $  4,632.89 $   912.14 20%
Melbourne 10 5 50% $  2,363.46 -$   256.27 -11%
New Zealand 15 2 13% $  3,010.63 -$1,673.52 -56%
Perth 8 2 25% $  1,391.42 -$   430.60 -31%
Sydney 4 2 50% $     984.02 -$     24.64 -3%
Townsville 10 4 40% $  2,412.05 $   234.59 10%
Wollongong 6 0 0% $     771.03 -$   629.39 -82%

Clearly we lost a lot betting on new team Sydney, whilst losing the most money betting against the premiership team New Zealand which is disappointing as they won their last 5 matches of the previous season.

Whilst there still is fantastic value I believe in the NBL model, I will be looking towards making the model quickly reflect off season changes in teams. As far as totals go however, I have no reason to suggest that they wouldn’t continue to be very profitable in what would have to be a very inefficient market.

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NHL total number of goals in playoffs, an increasing trend

Traditionally, the NHL playoffs have seen less goals scored per game than in the regular season. This obviously effects totals markets and bookmakers generally set lower totals lines to accommodate this. The average goals scored for each season for regular and playoffs for each game is shown below in the graph.

But what is interesting, is that ever since the abandoned year of 2004/2005, the average number of goals in playoffs more closely resembles the average goals scored per game in the home and away season.

In fact, so dramatic is the change, in that last year the average number of goals scored in the playoffs was greater than that of the regular season, 0.3 goals per game greater. It is hard to determine if this is a pattern that is justified or just simply random variation. I am tending towards the former.

Either way, punters should be cautious of this fact and should take care early about what scores are being scored in the playoffs as well as what lines the bookmakers are making.

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MLB 2011 season over / under win totals predictions

The Major League Baseball season is about to start and already we have futures predictions for the number of wins that every team will have. These are available below. Our baseball model has been going great guns, last year making 3.1% ROI h2h betting and 4.6% ROI betting totals. With nearly 1600 bets for the year, there is a lot of turnover in baseball because of the sheer number of games being played. Hence the potential for profits is massive. Full results are available here.

Predictions are generally given out around 5pm AEST, so it should suit most punters here and around the world.

To sign up to Sportpunter’s and Crdog’s MLB model or to view the prices click here.

Anaheim Angels 76.8

Baltimore Orioles 80.9

Boston Red Sox 103.4

Cleveland Indians 67.4

Chicago White Sox 81.6

Detroit Tigers 88.5

Kansas City Royals 66.9

Minnesota Twins 82.1

New York Yankees 90.4

Oakland Athletics 87.8

Seattle Mariners 72.1

Tampa Bay Devil Rays 84.2

Texas Rangers 90.1

Toronto Blue Jays 76.2

ATL 85.5

PHI 92.7

WAS 73.8

NYM 78.4

FLA 79.5

HOU 60.6

CHC 84.4

STL 87.8

CIN 88.3

MIL 80.3

PIT 70.6

SD 73.2

SF 91.0

ARI 77.6

COL 81.8

LA 79.0

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AFL Football is Back

AFL Football is back, and this Thursday kicks off the start of the AFL season with Carlton playing Richmond.

But of course, the big news is is that Sportpunter will once again be releasing top quality sports predictions for every single game. AFL is arguably Sportpunter’s best model and the results speak for themselves. As shown here, we have been predicting AFL since 1999 and have averaged 11.2% ROI. The last two years, and three of the last four years have averaged over 20% ROI. 2010 was the most profitable year since we started betting and so there is no reason why the results will not, once again, come in our favour.

Currently we have the season predictions up on the website with probability of premiership, final 4, final 8 and wooden spoon. We also believe we have a good grasp on the new team Gold Coast who enter the competition fresh this year.

If ever you are going to join up to a Sportpunter model, then the AFL model is the one! Even if you don’t understand anything about AFL football in Australia, simply just follow the bets as suggested and watch the profits come in.

To sign up or view the prices to Sportpunter’s AFL Model in 2011 click here.

Shown below is a full analysis of how the AFL Model has gone. It shows that betting on home teams does better than betting on teams playing away. It also seems to be profitable in all sorts of probability and odds ranges. Whats more, is that the greater the overlay, the greater the profit, with over 20% ROI being made when the overlay is greater than 40%. A minimum overlay of 7.5%, instead of the standard 5% could be a reasonable alternative.

Prob#Bets#Won%Won$Bet$Profit%ROI
00.1700.0%$111.18-$111.18-100.0%
0.10.258610.3% $2,528.65 $634.2325.1%
0.20.31303224.6% $8,992.28 $2,059.84 22.9%
0.30.41976533.0% $19,927.51 $3,877.75 19.5%
0.40.52018843.8% $26,281.72 $4,551.84 17.3%
0.50.626313451.0% $43,517.53 $4,360.87 10.0%
0.60.724613354.1% $51,745.34 $338.760.7%
0.70.821215472.6% $58,648.92 $9,756.58 16.6%
0.80.912910782.9% $49,961.75 $7,750.18 15.5%
0.91201995.0% $11,086.78 $1,236.91 11.2%
146373850.4% $272,801.67 $34,455.78 12.6%
Odds#Bets#Won%Won$Bet$Profit%ROI
11.412310686.2% $42,406.54 $4,629.21 10.9%
1.41.615911673.0% $43,970.40 $5,310.43 12.1%
1.61.817811765.7% $41,173.59 $7,444.07 18.1%
1.821508154.0% $29,814.39 $653.782.2%
22.21226754.9% $21,850.79 $3,084.80 14.1%
2.22.51456947.6% $25,874.51 -$427.90-1.7%
2.531396546.8% $20,236.77 $7,007.44 34.6%
33.51214133.9% $15,804.68 $2,594.31 16.4%
3.551785229.2% $20,038.19 $1,990.83 9.9%
5201482416.2% $11,631.81 $2,168.80 18.6%
146373850.4% $272,801.67 $34,455.78 12.6%
Overlay#Bets#Won%Won$Bet$Profit%ROI
00.07519210755.7% $24,292.16 -$570.58-2.3%
0.0750.118011463.3% $24,788.55 $3,607.46 14.6%
0.10.1251418459.6% $24,597.76 $3,781.07 15.4%
0.1250.151287155.5% $23,160.13 $1,286.12 5.6%
0.150.219711055.8% $36,976.66 $6,477.74 17.5%
0.20.251285845.3% $24,002.37 $2,974.78 12.4%
0.250.31316247.3% $30,027.60 $2,952.85 9.8%
0.30.41525737.5% $34,848.27 $1,368.33 3.9%
0.40.61355238.5% $31,108.35 $8,733.69 28.1%
0.63792329.1% $18,999.83 $3,844.32 20.2%
146373850.4% $272,801.67 $34,455.78 12.6%
Home
Prob#Bets#Won%Won$Bet$Profit%ROI
00.100#DIV/0!$-$-#DIV/0!
0.10.21400.0%$689.66-$689.66-100.0%
0.20.3501326.0% $3,606.15 $768.3721.3%
0.30.4762938.2% $7,694.03 $4,324.32 56.2%
0.40.5864046.5% $11,122.11 $3,254.22 29.3%
0.50.61427653.5% $24,329.86 $3,834.27 15.8%
0.60.71528958.6% $31,129.02 $2,105.66 6.8%
0.70.813310075.2% $37,333.19 $7,439.33 19.9%
0.80.91038784.5% $39,923.92 $6,772.12 17.0%
0.91191894.7% $10,494.24 $1,118.40 10.7%
77545258.3% $166,322.18 $28,927.03 17.4%
Odds#Bets#Won%Won$Bet$Profit%ROI
11.41038986.4% $36,625.25 $3,924.39 10.7%
1.41.61028179.4% $29,683.10 $6,352.59 21.4%
1.61.81157968.7% $26,225.43 $6,542.39 24.9%
1.82945255.3% $19,231.55 -$182.16-0.9%
22.2633860.3% $12,502.79 $3,555.62 28.4%
2.22.5652843.1% $11,954.11 -$1,357.34 -11.4%
2.53683652.9% $10,051.86 $5,249.57 52.2%
33.5521936.5% $8,115.58 $1,976.58 24.4%
3.55652233.8% $7,524.30 $2,566.46 34.1%
52048816.7% $4,408.22 $298.946.8%
77545258.3% $166,322.18 $28,927.03 17.4%
Overlay#Bets#Won%Won$Bet$Profit%ROI
00.0751137162.8% $18,536.18 -$143.42-0.8%
0.0750.11057773.3% $16,472.33 $3,526.09 21.4%
0.10.125805163.8% $16,662.98 $2,240.83 13.4%
0.1250.15724461.1% $15,365.13 $1,452.47 9.5%
0.150.21006161.0% $22,220.94 $3,786.94 17.0%
0.20.25683855.9% $15,241.93 $3,822.44 25.1%
0.250.3653858.5% $17,184.99 $4,080.20 23.7%
0.30.4713143.7% $18,672.07 $1,943.73 10.4%
0.40.6663147.0% $17,003.27 $7,270.56 42.8%
0.63351028.6% $8,962.36 $947.1910.6%
77545258.3% $166,322.18 $28,927.03 17.4%
Away
Prob#Bets#Won%Won$Bet$Profit%ROI
00.1700.0%$111.18-$111.18-100.0%
0.10.244613.6% $1,838.99 $1,323.88 72.0%
0.20.3801923.8% $5,386.13 $1,291.47 24.0%
0.30.41213629.8% $12,233.48 -$446.57-3.7%
0.40.51154841.7% $15,159.61 $1,297.62 8.6%
0.50.61215847.9% $19,187.67 $526.602.7%
0.60.7944446.8% $20,616.31 -$1,766.90 -8.6%
0.70.8795468.4% $21,315.74 $2,317.25 10.9%
0.80.9262076.9% $10,037.83 $978.069.7%
0.9111100.0%$592.54$118.5120.0%
68828641.6% $106,479.48 $5,528.75 5.2%
Odds#Bets#Won%Won$Bet$Profit%ROI
11.4201785.0% $5,781.28 $704.8212.2%
1.41.6573561.4% $14,287.30 -$1,042.16 -7.3%
1.61.8633860.3% $14,948.16 $901.686.0%
1.82562951.8% $10,582.84 $835.937.9%
22.2592949.2% $9,348.00 -$470.81-5.0%
2.22.5804151.3% $13,920.40 $929.446.7%
2.53712940.8% $10,184.90 $1,757.87 17.3%
33.5692231.9% $7,689.11 $617.748.0%
3.551133026.5% $12,513.89 -$575.62-4.6%
5201001616.0% $7,223.59 $1,869.87 25.9%
68828641.6% $106,479.48 $5,528.75 5.2%
Overlay#Bets#Won%Won$Bet$Profit%ROI
00.075793645.6% $5,755.98 -$427.15-7.4%
0.0750.1753749.3% $8,316.22 $81.361.0%
0.10.125613354.1% $7,934.78 $1,540.24 19.4%
0.1250.15562748.2% $7,795.00 -$166.35-2.1%
0.150.2974950.5% $14,755.72 $2,690.80 18.2%
0.20.25602033.3% $8,760.44 -$847.65-9.7%
0.250.3662436.4% $12,842.61 -$1,127.36 -8.8%
0.30.4812632.1% $16,176.20 -$575.40-3.6%
0.40.6692130.4% $14,105.07 $1,463.13 10.4%
0.63441329.5% $10,037.47 $2,897.14 28.9%
68828641.6% $106,479.48 $5,528.75 5.2%

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