NBA Model for season 2012/13

The NBA season is set to start in just one day, and once again Sportpunter will be giving away predictions for free of charge. We’ve been running the model for 2 years now and have had some fantastic success. Last season we made 5% ROI betting the lines and 2.5% ROI betting the totals, with similar results the previous years.

What’s more, is that the model seems to do better earlier on in the season. Line or handicap betting, made 5% ROI in the first 6 weeks of the 2010/11 season, and an incredible 25% ROI of the first 6 weeks of the 2011/12 season. This from about 350 bets.

Totals betting also fared well at the start of the season. In 2010/11, we made 9.6% ROI from 474 bets for the first 14 weeks, whilst in 2011/12, the first 14 weeks netted 5.4% ROI from 345 bets. Full betting history results are shown here.

Clearly, the model has been very profitable, and especially earlier on in the season. With only a day to go, make sure you check out the free Sportpunter NBA predictions as shown here: http://www.sportpunter.com/sports/basketball/nba/

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NBL Season 2012/13 set to start this friday.

nbldragonsThe NBL (Australian basketball) starts this Friday, and for the 7th season in a row, Sportpunter will be providing predictions. No doubt it is one of our best models, and we also believe it is one of the weakest markets out there that we can exploit.

In 6 years that we have been providing suggested bets we have made over 11% ROI betting on the totals from over 500 bets as shown by the betting history here.  This includes an incredible 31.5% ROI profit last season. Head to head betting, hasn’t been quite as good, but a still very profitable 3.6% ROI has been made over the journey.

What is more pleasing, is that last year we decided to track handicap or line betting for the first year, and despite a small loss in h2h betting, a very nice 15% ROI was made betting the line. Seems to me this could be the way forward.

So with the season starting this weekend, and the short pre season already over, one should be getting on board as soon as possible. Click here for all the subscription options

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NFL Season 2012 underway: betting by round

The NFL season for 2012 has started round 1, with the first gameof round 2 set to start on Thursday  between the Bears and the Packers

Once again Sportpunter will be offering our predictions for every game, and if previous years records are to go by, we should have another profitable year. Full results are shown here for our model: http://www.sportpunter.com/result-history/nfl/ and these show that we recorded a 10% ROI profit betting the line and a 3.3% ROI profit betting the totals. In total over the two years we are up 5.5% ROI betting the line and 4.7% ROI betting the totals  from about 400 bets each respectively.

But interesting is how the model goes throughout the year. Whilst we only have a small sample size of two years, it might be interesting to see how the profits come in round by round. Shown below is the breakup of betting and profits for line and totals betting per round, followed by a brief summary.

Totals by round:

Round#Bets$Bet$Profit%ROI
121 $3,686.66 $271.697%
220 $3,736.31 $222.766%
322 $4,018.32 $985.5525%
426 $4,440.28 $22.130%
520 $4,483.59 $835.0919%
618 $3,536.78 $1,723.92 49%
716 $2,623.10 $471.6918%
822 $4,195.11 $1,545.20 37%
917 $2,690.18 -$59.33-2%
1020 $3,728.55 -$30.15-1%
1120 $3,118.52 -$900.60-29%
1223 $3,974.78 $188.165%
1320 $4,541.04 -$45.61-1%
1423 $4,626.33 -$951.58-21%
1521 $3,912.09 $192.855%
1624 $4,878.93 -$661.58-14%
1724 $4,546.24 -$398.22-9%
186 $1,466.51 $606.1941%
194$850.94-$850.94-100%
203$363.04$98.9427%
212$343.09-$14.93-4%

 

Line betting by round:

Round#Bets$Bet$Profit%ROI
125 $5,424.49 -$874.15-16%
226 $6,208.67 -$1,124.19 -18%
323 $6,165.07 $3,307.72 54%
424 $5,483.66 $516.789%
518 $4,044.36 -$493.76-12%
614 $2,862.12 -$413.86-14%
719 $5,127.53 -$1,281.66 -25%
823 $5,294.40 -$878.65-17%
926 $6,011.70 -$364.78-6%
1024 $5,927.14 -$140.19-2%
1123 $5,578.47 $114.922%
1225 $7,783.67 $2,285.07 29%
1323 $4,783.85 $159.993%
1425 $5,823.84 $2,008.39 34%
1530 $9,870.81 -$304.22-3%
1627 $7,118.21 $1,299.82 18%
1725 $7,955.86 $1,069.91 13%
185 $1,032.22 $658.6464%
196 $1,443.51 $137.9610%
203$716.42-$75.92-11%
212$574.25$207.0436%

 

Clearly it shows that totals betting seems to go well from the word go, round 1, and if anything swindles a little later in the season. The opposite is true of line betting. Despite some big wins in round 3, it has taken until about mid-way through the season to show nice profits. Of course as I said, this is only a very small sample size, and one shouldn’t look into it as gospel, but there is good reason why the model might struggle a little early on with player movements between teams.

Either way, hopefully we get around the same type of success that we have had as previous years for what is one of the most popular bet sports in the world.

Click here: http://www.sportpunter.com/sports/nfl/ to register your subscription for the upcoming 2012 season.

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Soccer predictions are back online

Yes the most popular sport in the world is once again being modelled by Sportpunter after some technical issues. Every game from over 100 different divisions have been analysed and predictions will be out every day at around 5pm AEST.

Predictions will and do include head to head bets, line bets and totals bets, the latter of which has been reworked of late. A betting history has been provided and is also updated every day, and we hope to get betting histories out for each individual league in the short future as well.

But for all you soccer buffs. Soccer predictions are back! Link here: http://www.sportpunter.com/sports/soccer/

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Sportpunter models Staking System

We previously looked at how well Sportpunter models had gone in the first half of this year. The results were very good indeed with the average bank increase of about 250% to 400% of your starting bank depending on your strategy. Now, we will look at the strategies and determine which is the best one – well at least discuss it with a little bit of data.

The following graph is how one would have gone betting a moving bank (after every week), different moving banks for each sport, and a constant bank for 1/15th Kelly divisor. Considering that all methods are betting on the same bets, they all generally follow each other.

 

 

The moving bank scenario finished with the highest profit for the first six months for 2012 despite a lot more variability over that time. When things were going good, and you could put a few good weeks in a row together, this is when the moving bank strategy excelled. However, the contrary is also true. Given a losing streak, the moving bank suffered more so that the constant bank.  This is true also to some degree for the moving different banks, though hardly as extreme.

Of course how much profit one made during a certain amount of time is very dependent for the moving bank scenario on the last few weeks, whilst with a constant bank, as the name suggests, each week is consistently as important in the final profit amount.  However more interestingly is the graph below which shows the finished banks (from $10,000) for each of the three methods.

 

 

Clearly the above graph shows that the constant (and moving different bank method) are preferable in the first half of 2012 if the Kelly Divisor is less than about 12. For larger more conservative divisors, a moving bank is preferable.

Now naturally, the above analysis implies that you use the same Kelly Divisor on all the sports. One might decide against this as they are more confident on certain sports and sports models than others. But despite this, the point has been proven to some degree, that a constant bank is preferable for smaller and more risky Kelly Divisors, whilst a moving bank is more preferable for more conservative Kelly divisors.

This to me, makes logical sense. But what is the best Kelly divisors and strategies for all the sports? Well soon we shall be providing an excel spreadsheet for you to play around with, but next up we will be looking at the Sportpunter model’s record going back several years.

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Sportpunter profits 1/1/12 to 30/6/12

There’s been quite a lot of talk in the forum and elsewhere about how best to manage your money. Should you use a moving bank? Adjustable after every day, or every week or month? Or maybe just adjust at the end of the season.

Furthermore, this is a great opportunity to tell everyone how well, or bad, the Sportpunter models have gone in the first half of the year.

We’ve download all of the results from all our models in all our sports, and worked out how much we would have made this year, had we started the year with a $10,000 bank and betting every sport at various Kelly divisors. The sports that we have in the analysis is as follows:

 

 

  • AFL – Line betting
  • MLB – h2h
  • MLB – totals
  • NCAAB – totals
  • NBA – line
  • NBA – totals
  • NBL – line
  • NBL – totals
  • Golf – h2h
  • NHL – totals
  • EU Ice – Line
  • EU Ice – Totals
  • EU Basketball – Line
  • EU Basketball – Totals
  • NFL – Line
  • NFL – Totals
  • NRL – h2h
  • Super15s – h2h
  • ATP – h2h
  • WTA – h2h

Now of course, should one use slightly different combinations of sports one would come up with different results, but the main sports to bet on in my opinion are above, even though some are relatively new. Keep in mind that not all of the above sports provided a profit in the first half of 2012. NHL totals, EU Basketball totals, NRL, Super15s and WTA all provided reasonable losses. Whilst NFL totals and NCAAB Totals provided small losses from small turnover.

Firstly, the results of the Sportpunter’s models can be better shown using constant Kelly. From a $10,000 bank, the results of how one would have gone betting all of Sportpunter’s above models at various Kelly divisors is shown below in the graph.

 

The graph above shows that the finishing bank should end up somewhere between $27,000 to $44,000 (divisors 20 and 10), at the end of six months. This means a one would have finished the first half of the year, almost tripling your bank up to more than quadrupling it. Very good results indeed.

Once again, it must be stated that it is dependent on what odds you receive and what sports you bet, but the true significance of how good the Sportpunter models is, is shown above.

As an example, shown below is how the year panned out for someone betting at 1/15th Kelly on all the sports.

In the next post, we will have a look at different Strategies, from Moving Banks, to separate banks for each sport, and will also give you the opportunity to download the Excel spreadsheet that gave the above (and next articles) data for you to play around with.

 

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Hawthorn’s Bookmaker Line winning streak

With Hawthorn’s turn around since losing to Richmond 2 month ago, I thought why not write an article about the Mighty Hawks (as you can see I might be a little biased here!). For those following the AFL, you might be aware, that Hawthorn has dominated the last 7 weeks of football and last week capped it off with a brilliant display against Collingwood.

In fact, every week for the past 7 weeks, they have easily beat the bookmakers line, a feet which I thought was pretty impressive. But is this a record and how many times has this been done before?

Well I decided to check it out. Given that I have all the bookmakers lines in my database going back to 2005, I will check out what the record is for the most number of matches in a row that a team beats the line. The results are below:

Year Round Team WinLinesStreak
2007 20 Geelong 15
2005 23 Sydney 9
2006 10 Collingwood 9
2006 22 Fremantle 9
2009 10 Melbourne 7
2009 15 Collingwood 7
2011 6 Collingwood 7
2011 8 Geelong 7
2012 17 Hawthorn 7*

 

Turns out that Geelong have the record, and quite comfortably. 15 matches in a row they beat the record, before losing to Port Adelaide by 5 points at home, when the line was -25.5. For those historians of the game, you might remember that Geelong went on that year to win the premiership, this time defeating Port Adelaide  by a whopping 119 points.

Second on the list is Sydney, Collingwood and Fremantle in the years 2005 and 2006. That year, Sydney also won the grand final, whilst in 2006 Fremantle made it to the prelim, and Collingwood, despite starting the season well, faded in the second half and eventually lost the semi-final.

There’s a whole group of teams with 7 wins in a row. Collingwood make the list twice in 2009 and 2011, whilst Hawthorn as mentioned in there with 7 in a row which they might extend this weekend.

But the most interesting one there with 7 bookmaker line beats in a row is Melbourne in 2009. Because despite winning 7 line beats in a row, Melbourne at Round 10 were on the bottom of the ladder with only one victory to their name. Turns out that their losses were not by much, and they were struggling in some cases to win the match, despite getting across the line.

So can the hawks extend their bookmaker line winning streak? Hopefully, but it will take a mammoth ask to break Geelong’s record of 15 straight line betting wins in a row.

 

UPDATE

A quick update, showing the average winning margin over the line for the teams with the longest streak. As expected, Melbourne have the smallest with only 15 points on average defeating the line. This isn’t surprising as they lost almost all those matches. Hawthorn’s recent winning streak of 7 on the trot has seen then have the highest average winning margin by some margin. Although, should they be lucky enough to get up to Geelong’s streak of 15 in row, one honestly would say it would be hard to keep up with that degree of victories.

Year Round Team WinLines Av. Win Margin
2007 20 Geelong 15 31.3
2006 10 Collingwood 9 35.4
2006 22 Fremantle 9 31.3
2005 23 Sydney 9 27.7
2012 17 Hawthorn 7* 42.1
2009 15 Collingwood 7 28.4
2011 6 Collingwood 7 24.5
2011 8 Geelong 7 19.1
2009 10 Melbourne 7 15.1
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Analysis of 2011/2012 NBA Season model

With the 2011/12 NBA season now complete and Miami Heat getting up to win, it’s probably time that we check out the Sportpunter NBA model and see how we went in this cut short season.

Results are good for the 2011/12 season, which backed up the record of the season prior. Line betting saw 522 bets made for a very healthy 4.8% return on investment. This is up from the borderline 0.7% ROI made the year before. A total of 1143 bets now have been made for 3.6% ROI as shown here.

Totals betting had 511 bets with a nice 2.5% ROI profit. Lower than the previous years of 5.4% ROI, but still good. Over 1000 bets in total at 4.7% ROI over two seasons is very pleasing indeed.

Head to head betting had some technical problems with odds not being readily available all the time. Hence only 165 bets were recorded at 2.4% ROI, but still in the 2 years we have had 621 bets at 3.4% ROI.

Either way, all h2h, totals and lines have made profit in each category and in each year, which is very pleasing indeed.

We should previously, that the model does especially good earlier in the season, and with this season starting late, it was hard to say how we would have gone. However results show that stopping betting after week 9 for h2h, week 7 for line betting and week 14 for totals provided the most profit. Quitting looking at the model at these times would have provided 26% ROI betting h2h, 22% ROI betting on the line and 5.4% ROI (with more bets) betting the totals.

Of course it is easy to say in hindsight when to stop betting the models predictions, but what is clear is that the advantage for the model is early on in the season.

Shown below is a short analysis of the 2011/12 season for NBA for totals betting. I shall summarise them here.

Firstly it looks as though the whole season went well, expect for the months of May and June. It seems like the model might not perform that well during the playoffs. There were lots of over bets during this time, and just like Ice Hockey and other American sports, it appears that lower scores could well appear during the playoffs (hence why more overs bets).

Interestingly overs lost 1% ROI overall, whilst unders betting made a staggering 15.9% ROI from 124 bets. As previously noted, we suggested a minimum 17.5% overlay betting the totals, and the same trend occurred again in 2011/12. Had we just bet totals at 17.5% overlay or greater, then we would have made 254 bets for a very handy 5.8% ROI. Not bad at all. If you had of averaged $1,000 a bet, then you would have profited over $14,000 for the year.

If you had stayed away from the playoffs as we previously suggested, then the profits would have been bigger. You would have made 226 bets for a very handy 7.3% ROI. Very nice. An average $1,000 bet would have netter you a season profit of $16,500. And that’s only totals betting.

So signs are good, and the model has performed well, and also has been consistent year to year in the two years operating. Hopefully this trend will continue.

Month#Bets$Bet$Profit%ROI
1234$10,302.49$867.758.40%
1113$29,511.80-$305.48-1.00%
2107$20,711.93$1,403.626.80%
3117$22,006.74$1,271.525.80%
491$17,203.32$494.212.90%
546$10,522.26-$923.45-8.80%
64$535.18-$49.27-9.20%
TOTAL512$110,793.72$2,758.902.50%
OverMonth#Bets$Bet$Profit%ROI
1228$9,136.67$263.882.90%
184$23,577.48-$2,413.28-10.20%
282$16,508.31$1,654.7410.00%
378$14,119.09$287.822.00%
466$13,662.32$388.762.80%
545$10,440.43-$1,003.64-9.60%
64$535.18-$49.27-9.20%
TOTAL387$87,979.48-$870.99-1.00%
UnderMonth#Bets$Bet$Profit%ROI
126$1,165.82$603.8651.80%
129$5,934.32$2,107.8035.50%
225$4,203.62-$251.12-6.00%
338$7,887.65$983.7012.50%
425$3,541.00$105.453.00%
51$81.83$80.1998.00%
60$-$--
TOTAL124$22,814.24$3,629.8815.90%
Overlay#Bets$Bet$Profit%ROI
0.050.07560$4,151.17-$497.65-12.00%
0.0750.161$5,597.41$463.648.30%
0.10.12550$5,998.20-$802.46-13.40%
0.1250.1555$8,177.85-$687.51-8.40%
0.150.17530$5,236.26-$500.49-9.60%
0.1750.234$6,697.64$2,091.3731.20%
0.20.2560$14,435.58$2,414.6416.70%
0.250.354$16,061.31$3,560.2822.20%
0.30.471$26,330.31-$805.74-3.10%
0.4235$18,053.92-$2,527.46-14.00%
Overlay >=17.5Month#Bets$Bet$Profit%ROI
1223$9,047.91$1,115.8612.30%
167$23,926.90-$752.90-3.10%
250$13,825.39$1,165.588.40%
346$14,451.80$3,780.3926.20%
440$11,823.82$51.780.40%
528$8,502.94-$627.62-7.40%
60$-$--
TOTAL254$81,578.76$4,733.095.80%

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AFL futures betting: Top 8 Finals

When betting the AFL before the seasons starts, I like to make a few fun plays at the top 8 market. Not too much, but just enough for interests sake and to make some money. I don’t really like tying up my money for most of the year, so I only bet smaller amounts compared to my weekly head to head betting, but it seems like my bets are going quite well.

Most notably the carlton bet to miss the top8. It’s bizarre to think after round 3 they were premiership favourites. But here are the bets that I made, either backed or laid to make the top 8 before the season started. These are based on the probabilities of the Sportpunter AFL Model:

TeamBet/LayOddsUnits Bet/LayRisk
CarltonLay1.313510.85
AdelaideBet1.817.67.6
BrisbaneBet7.62.42.4
North MelbBet2.36.76.7
Port AdelaideBet8.62.62.6
RichmondBet3.27.57.5
St. KildaBet1.822.12.1
EssendonLay2.182.83.304
FremantleLay1.97.76.93
GeelongLay1.274.51.215
MelbourneLay4.85.219.76
West Coastlay1.443.11.364
72.323

Now considering that the odds have changed, we can now back or lay the other side to lock in a guaranteed profit (or loss) for each outcome. Should I attempt to do this now, this is what I would be looking at.

TeamBet/LayOdds AvailableUnits Bet/LayProfitInTop8ProfitMissTop8
CarltonBet4.610.025.025.0
AdelaideLay1.0413.25.65.6
BrisbaneLay12.51.5-0.9-0.9
North MelbLay35.1-1.6-1.6
Port AdelaideLay500.4-2.2-2.2
RichmondLay2.410.02.52.5
St. KildaLay2.71.4-0.7-0.7
EssendonBet1.15.5-2.7-2.7
FremantleBet52.94.84.8
GeelongBet1.63.60.90.9
MelbourneBet2000.15.15.1
West CoastBet1.044.3-1.2-1.2
34.734.7

So not bad. I risked 72.3 units before the season start and could now lock in a profit of 34.7 units or a percentage return of investment of 48%. Nice!

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Betting against the big tennis winner

When Philipp Kohlschreiber defeated the French Open Champion Rafael Nadal at the Gerry Webber Open at big odds of almost 7.00, it was one of the biggest upsets over the past month. Nadal, was clearly tired after winning the French Open but the punters still backed him to win.

Of course, it was a massive win for Kohlschreiber, who had never defeated a number one seeded play since he defeated Marin Cilic back in 2010. So perhaps he was in a rare stint of form. It was his third win on the trot, and faced fellow compatriot, ageing, yet in form Tommy Haas.

Kohlschreiber was listed as favourite at 1.66, whilst Haas had to settle for the slight outsider odds of 2.40. Least to say that Sportpunter rated Haas at 47% chance to win, so there was some value there on Haas.

If you don’t already know, Haas defeated Kohlschreiber in straight sets. This got me thinking. How often does the market over compensate for a player who had a massive win the week after? It is possible that the chances of a player winning the week after are less than what the public perceive?

Perhaps Kohlschreiber had already won his grand final after defeating Nadal, or was too happy and excited to hold his nerve for the next match. Perhaps Haas had to focus more knowing that his opponent had just taken out one of the world’s best.

Well I decided to test this theory, and using data going back to the start of 2005, looked at all matches where a player had won at odds of greater than 5.00 (not including retirements) and how they went in their next match, so long as it was in the same tournament.

Since 2005, this has occurred 328 times. In 117 (36%) of them, the player who won previous at odds of 5.00 or more won their next match, whilst 64% of the time, or almost 2/3rds of the time – they lost.

Had we bet to win $1000 on a player who previously won at 5.00 the game before, we would have bet $254,305 (average of $775) and lost a total of $30,130. Our precent return on investment would therefore be -11.8%.

Clearly, without doing any form whatsoever, we have shown that there is no value in betting on a player who had previously won at odds of 5.00. However interestingly, is how we would have done betting against a player who had won at 5.00 or greater the match before.

Since 2005, we would have bet $992,724 and made a profit of $33,591. This represents a return of investment of 3.6%

So just by this analysis alone and not even performing any form analysis, one would have made 3.6% ROI and $33,000 by backing against a player who previously just had a big win.

So clearly, the market overreacts based on a big victory the previous game. This, I can assure you, happens in every sport.

Sportpunter’s tennis model is available to subscribe to. Click here for more information.

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