It’s footy season – the best time of the year

sportballs New NRL Player Based Model
Following the success of the AFL Player based model introduced last year, Sportpunter will have a player based NRL model in 2014. Both normal team based probabilities and player based probabilities will be given along with separate betting histories.
The season starts tomorrow (4/5/14), so make sure that you check out the webpage for all the free predictions. The free predictions will be uploaded at 11am on the day of the first match of the round (so this week at 11am Thursday). http://www.sportpunter.com/sports/rugby-league/

Super15s
Our rugby union model has started well, with 5 wins from 11 bets at a 50% ROI. Our rating on the Lions has been proven correct, with big wins on them occurring in rounds 1 and 2 at odds of 5.04 and 4.18. Round 4 gets under way this Friday. Free predictions here: http://www.sportpunter.com/sports/rugby-union/

AFL
AFL pre-season has come and gone. There are a handful of practice matches to be held this weekend, and we will be providing probabilities for each of these in preparation for the first round of the season that starts on the 14th. Player based probabilities for this week’s practise matches will unlikely be given. We are expecting big things from the AFL model, and if the last 5 years are anything to go by it should be another cracker. Details here: http://www.sportpunter.com/sports/afl/

Posted in News, Sport News | Leave a comment

Sportpunter: AFL Subscriptions are open

456390-lance-franklinThe most anticipated season for Sportpunter punters is now open for subscription. With the preseason competition set to start this Wednesday night, you can get all the player based predictions from our website.

Whilst the predictions for preseason will not officially be put into our betting history, there could be some scope, especially with the new player based model, to get early value for a competition that would be hard for bookies to accurately price up.

In fact, it seems that they don’t price up the regular season that well either. The record for Sportpunter’s AFL model is second to none. Just take a look at the incredible results here: http://www.sportpunter.com/result-history/afl-results/

It shows that last year was our second best head to head betting season since we’ve been predicting since 1999. We made 22.6% return on investment (ROI) last year, and over the scope of 15 years of betting history have made an incredible 11.0% ROI.
Line betting results are even better. For the second year in a row we have made over 20% ROI for the year, also making 22.6% ROI in what has been our best year ever. The last 5 years alone have made over 18.5% ROI from 723 bets. Amazing.

Places could well be limited, so make sure you sign up for Sportpunter’s AFL Model here to get all the preseason predictions. http://www.sportpunter.com/sports/afl/
Super15s season starts this weekend

The super15s rugby union season starts this weekend and Sportpunter will be once again giving predictions for free. Last year was almost our best year ever with head to head betting making a very nice 20.5% ROI. In fact the last three seasons have averaged 9% ROI. A full betting history is shown here http://www.sportpunter.com/result-history/rugby-union-results/ with predictions and season information shown from the main Super 15s website: http://www.sportpunter.com/sports/rugby-union/

Posted in Model, Sport Models | Leave a comment

Ice Hockey: Nasty Russians no more

2010-u18-wjc-team-russia-finishes-without-medals-176We wrote previously about how the Russian and Finish hockey totals results were not too flash. And the reason was simple, the database did not have enough data to come up with accurate results, and hence every expected value of goals it predicted for every match was the same.

This made the ice hockey model look terribly bad. Russia itself had lost 16% ROI from 403 bets alone. But since the previous article we have upgraded the leagues of these two, and how have they gone since?

Swimmingly!

Russia has made 3.1% ROI from 108 bets, whilst Finland has made 10.6% ROI from 66 bets. In fact, all the leagues have done amazingly well since the update at 9/12/13. The handicap or line market has made 5.4% ROI from 519 bets, and the totals have made a staggering 9.2% ROI from 601 bets. Totals alone has made nearly $7,500 in this period (based on $1k bank, full Kelly).

What’s more is that the European ice hockey model is free. So knock yourself out.

Full details and betting histories are shown here: http://www.sportpunter.com/sports/ice-hockey/euro/

Posted in Model, Sport Models | Leave a comment

ATP Profits by month

federer_2273027bThe ATP tennis season is about to start once again, and we thought we’d analyse how well the model has gone by month. There have been suggestions that the model has done better earlier in the tennis season and faded away a little bit at the end due to motivational issues. Is this the case? Well we thought we’d analyse it.

Shown below is a table of all results going back to the start of 2006, and the profits we have had per month. Whilst the table shows some good info, it might be easier to see on the following two graphs, which look at profit per month and %ROI per month. Analysis to follow

Month#Bets#Wins%Wins$Bet$Profit%ROI
1102548447.2% $213,638.99 $15,042.10 7.0%
298043344.2% $183,734.47 $1,707.87 0.9%
366827140.6% $99,585.56 $10,065.98 10.1%
491142947.1% $171,893.82 $10,101.33 5.9%
598147748.6% $203,191.69 $17,729.16 8.7%
689844349.3% $196,677.09 $13,789.31 7.0%
7100648147.8% $178,618.49 $9,318.18 5.2%
894443345.9% $188,384.14 $2,768.68 1.5%
950422344.2% $93,023.78 $1,912.01 2.1%
1094939041.1% $157,676.22 $7,616.48 4.8%
111566944.2% $30,554.86 $3,870.04 12.7%
12874147.1% $14,094.70 $1,895.68 13.4%
9109417445.8% $1,731,073.81 $95,816.82 5.5%

atpprofitbymonth

atproibymonth

Clearly it shows that a large amount of the profit is made up in the first 7 months. In fact just over 80% of the profit has come from this. If you include month 12 as the start of the season (because the only ATP matches held in this time are ones just after Christmas – start of a new season), then the result is even more highlighted.

Apart from February, almost all months in this time have at least a $10,000 profit and significant %ROI over 5%. Then in months 8 and 9 (August and September), the profit drops off a but down to about 1-2% ROI before rebounding again for the end of season in October and November.

The amount of bets made in September is clearly less than other months, so this can highlight the issue around this time. What is interesting is that the US Open generally starts in late August, so it seems that the lead up matches to the US Open as well as post US Open matches, and perhaps the US Open itself, do not quite return the same amount as other months.

But given that, one could conclude that post Australian Open the same issues occur in February. Could this all be a motivation issue? There is a long way between drinks between the Australian open and the next major the French Open. Likewise, post US Open, apart from prize money, there might be little for some players in regards to motivation.

But then again, this could all just be random variation. Maybe it’s something to store in the back of the mind coming into the 2014 season.
2014 tennis subscriptions are available now. Get the details here: http://www.sportpunter.com/sports/tennis/

Posted in Model, Sport Models | Leave a comment

Euro Basketball analysis by league and overlay

182129378Similar to the European Ice Hockey analysis that was done yesterday, it was probably a good idea to have a look at the European Basketball. So today we will look at line betting and totals betting, both of which have pulled in big profits.

Firstly line or handicap betting. As shown by the table below, Croatia, England and France Pro B seem to be the worst performing leagues although considering the small sample size, there isn’t much that one can read into this apart from random variation. Interestingly, both Austria and Germany, very similar countries, are both performing the best.

League#Bets#Wins%Wins$Bet$Profit%ROI
Argentina - Liga Nacional de Bá864856% $15,143.73 $2,084.54 14%
Australia - NBL5360% $1,494.08 $328.4722%
Austria - Bundesliga1418057% $29,053.34 $7,430.82 26%
Belgium - Ligue Ethias502142% $12,480.29 $(61.31)0%
Bulgaria - NBL824454% $18,042.03 $2,746.03 15%
Croatia - A1 Liga682740% $14,126.30 $(3,430.57)-24%
Czech Republic - NBL1476645% $21,366.18 $23.170%
Denmark - Basketligaen1306348% $27,726.44 $655.272%
England - British Basketball Le934852% $16,209.55 $(2,172.67)-13%
Finland - Korisliiga1568353% $23,942.54 $2,090.71 9%
France - LfB00$-$-
France - LNB Pro A24312752% $36,537.59 $1,965.70 5%
France - LNB Pro B27413047% $68,626.99 $(2,273.91)-3%
Germany - Basketball Bundesliga27615355% $46,827.21 $6,609.76 14%
Greece - A1 Ethniki1367152% $19,346.98 $1,246.65 6%
Israel - Ligat Haal824859% $12,107.93 $2,364.84 20%
Italy - Lega A Basket23711549% $40,083.38 $878.662%
Italy - LegA Basket Femminile00$-$-
Italy - LegADue1195546% $20,567.45 $1,638.69 8%
Netherlands - Dutch Basketball231357% $5,017.08 $1,557.33 31%
Norway - BLNO00$-$-
Poland - Ekstraliga1658250% $34,592.79 $(139.17)0%
Russia - PBL693652% $14,989.21 $1,533.93 10%
Serbia - Košarkaška Liga1287155% $28,433.39 $1,644.41 6%
Slovenia - Liga Telemach261038% $4,580.26 $(407.41)-9%
Spain - ACB29014650% $48,506.58 $(449.24)-1%
Sweden - Ligan1316348% $24,522.90 $(872.98)-4%
Switzerland - LNA1005454% $30,556.46 $1,399.15 5%
Turkey - Turkiye Basketbol Ligl1649256% $22,768.52 $1,816.91 8%
Ukraine - Superleague1869149% $41,744.91 $(305.98)-1%
United States - NBA00$-$-
United States - Women NBA1719556% $36,215.09 $4,057.56 11%

When looking at the minimum overlay, it would seem that a minimum of 20% is required to make the maximum profit at this stage of analysis as shown by the table below

Min.Overlay#Bets#Wins%Wins$Bet$Profit%ROI
0.050.199048849% $77,440.18 $(1,641.37)-2%
0.10.1573737250% $95,271.60 $1,161.36 1%
0.150.256926947% $102,827.21 $(6,874.78)-7%
0.20.2542724557% $100,203.18 $13,716.41 14%
0.250.3543323153% $132,841.25 $7,006.39 5%
0.350.524714057% $106,882.28 $13,268.09 12%
0.50.75703956% $41,456.54 $5,534.83 13%
0.7543133% $2,665.24 $(783.02)-29%
1500$-$-
34761785 $659,587.48 $31,387.91 4.8%

Going onto totals, the results are truly fantastic, with really only Turkey, Ukraine and Russia showing negative results. Interesting once again that these three leagues are all in Eastern Europe. Either my model is not handling Eastern European basketball that well, or perhaps there is more seedy behind closed doors deals going on! More than likely however it is just due to a small sample size and random variation, and therefore there is no reason why one would not bet these leagues.

League#Bets#Wins%Wins$Bet$Profit%ROI
Argentina - Liga Nacional de Bá1045654% $23,235.03 $1,583.46 7%
Australia - NBL6467% $1,275.05 $519.3841%
Austria - Bundesliga1628754% $30,002.40 $1,213.91 4%
Belgium - Ligue Ethias382566% $6,115.87 $1,748.63 29%
Bulgaria - NBL713955% $10,770.30 $1,923.08 18%
Croatia - A1 Liga653554% $16,255.33 $1,336.67 8%
Czech Republic - NBL1799050% $30,885.39 $738.642%
Denmark - Basketligaen1226452% $23,772.95 $668.343%
England - British Basketball Le1106256% $22,430.75 $3,935.73 18%
Finland - Korisliiga18310155% $31,734.64 $2,527.08 8%
France - LfB4125% $1,439.19 $199.2014%
France - LNB Pro A29015453% $49,487.17 $267.061%
France - LNB Pro B30515952% $102,644.93 $5,835.13 6%
Germany - Basketball Bundesliga28414852% $47,029.91 $1,027.82 2%
Greece - A1 Ethniki1417956% $19,185.25 $3,940.41 21%
Israel - Ligat Haal925459% $17,696.31 $1,684.45 10%
Italy - Lega A Basket26614053% $47,104.03 $3,379.21 7%
Italy - LegA Basket Femminile55100%$906.96$860.6895%
Italy - LegADue1348060% $25,229.48 $5,683.90 23%
Netherlands - Dutch Basketball22941% $3,182.13 $(458.24)-14%
Norway - BLNO2150%$369.44$(53.96)-15%
Poland - Ekstraliga1658149% $27,533.27 $909.373%
Russia - PBL713346% $15,172.45 $(1,342.43)-9%
Serbia - Košarkaška Liga1105853% $17,105.39 $906.205%
Slovenia - Liga Telemach402255% $9,157.10 $942.6010%
Spain - ACB26914454% $40,577.51 $4,649.22 11%
Sweden - Ligan1709858% $31,736.90 $6,025.00 19%
Switzerland - LNA1015352% $28,358.53 $1,383.35 5%
Turkey - Turkiye Basketbol Ligl1959750% $36,827.33 $(2,179.15)-6%
Ukraine - Superleague1516946% $22,191.08 $(1,098.55)-5%
United States - NBA4375%$792.04$402.3051%
United States - Women NBA1618553% $33,231.40 $849.693%

It also seems that a minimum overlay of 5% is sufficient with higher overlays producing higher profits. This is in line with what a good model should produce.

Min.Overlay#Bets#Wins%Wins$Bet$Profit%ROI
0.050.1100952552% $77,925.13 $1,937.02 2%
0.10.1582143052% $106,248.18 $4,178.79 4%
0.150.262232051% $112,986.30 $2,041.58 2%
0.20.2544123353% $103,376.43 $3,927.46 4%
0.250.3546225255% $141,770.12 $11,141.37 8%
0.350.524213054% $103,609.68 $7,488.12 7%
0.50.75824859% $50,411.99 $10,050.52 20%
0.75413862% $11,035.68 $2,280.57 21%
1500$-$-
36921946 $707,363.51 $43,045.43 6.1%

The predictions for European Basketball are available free online and are updated every day. Check this webpage for more information: http://www.sportpunter.com/sports/basketball/euro/

Posted in Model, Sport News | Leave a comment

Euro Ice Hockey analysis by league and overlay

KHL Season 2013/14Sportpunter’s European Ice Hockey predictions have been live on the website for now its third year, and it’s probably about time that we analysed the results. A clear look at the results as shown on the bottom right side of this this webpage, shows that head to head betting has made 4.7% ROI from over 1300 bets, has made 2.7% ROI from over 3300 bets when betting on the line/handicap, and has made a 1.5% ROI loss when betting the totals.

So pretty good results when betting on the team, but not on the overs and unders. But when we look more in depth at the results we can come to different conclusions.

‘Sportjake’ on the sportpunter forum, noticed that the totals for Finland and Russia always had an expected total of 5, and so it would seem that we will have to look at league vs league to see how well the results have been. One of the reasons why the results for these two leagues always have a total score of 5 is because of lack of data and hence predicting power for them. However I do plan on reinvestigating them now to see if we can come up with better predictions.

But let’s look at the data. Firstly head to head analysis:

As shown by the analysis below, the results for the Czech Republic seem to be the best, whilst Finland have the worst results. There is probably not a lot one can read into this as the sample sized for each league is relatively small.

League#Bets#Wins%Wins$Bet$Profit%ROI
Austria - EHL1074542% $16,041.07 $1,700.64 11%
Czech Republic - Extraliga2009045% $29,823.42 $2,450.22 8%
Finland - SM-Liiga1223529% $14,129.13 $(2,110.10)-15%
Germany - DEL1809251% $22,529.48 $3,363.72 15%
Slovakia - Extraliga1014040% $16,443.64 $(311.23)-2%
Sweden - Elitserien1084441% $13,613.07 $1,065.39 8%
Switzerland - Nationalliga A1214940% $17,437.85 $117.991%
United States - AHL10880%$843.35$739.0988%
Denmark - Superisligaen15747% $1,490.07 $585.2239%
Finland - Mestis331545% $5,895.23 $303.885%
Norway - GET-ligaen561730% $8,619.94 $(1,430.96)-17%
Russia - KHL341338% $5,631.94 $528.059%
Sweden - HockeyAllsvenskan1355843% $19,889.50 $1,714.53 9%
Belarus - Extraliga672537% $8,983.85 $(764.01)-9%
United States - NHL181056% $5,495.85 $744.3614%

It seems that a minimum overlay of 5% is sufficient when betting on teams as shown in the table below.

Min.Overlay#Bets#Wins%Wins$Bet$Profit%ROI
0.050.143919645% $37,227.57 $1,641.47 4%
0.10.1532514846% $42,743.04 $5,301.14 12%
0.150.21847440% $32,843.68 $1,388.74 4%
0.20.251174236% $25,357.45 $415.372%
0.250.35682943% $18,592.19 $2,418.37 13%
0.350.523730% $7,719.33 $(178.34)-2%
0.50.755120% $2,449.96 $(404.40)-17%
0.75400$-$-
1500$-$-
1161497 $166,933.22 $10,582.35 6.3%

When looking at the line and handicap betting, we see similar results. With Finland being the only league to show a loss, whilst the German League DEL, is the most profitable. A minimum overlay of 5% seems sufficient

League#Bets#Wins%Wins$Bet$Profit%ROI
Austria - EHL30414347% $48,604.38 $1,742.79 4%
Czech Republic - Extraliga37817346% $58,458.76 $2,025.36 3%
Finland - SM-Liiga31112641% $36,123.82 $(2,506.23)-7%
Germany - DEL34718052% $45,589.00 $6,405.56 14%
Slovakia - Extraliga25512348% $43,478.49 $832.402%
Sweden - Elitserien2149042% $32,243.94 $299.621%
Switzerland - Nationalliga A25812348% $36,290.22 $2,205.93 6%
United States - NHL11764% $1,001.69 $44.014%
United States - AHL18950% $1,811.04 $730.7840%
Denmark - Superisligaen1627546% $28,689.14 $772.063%
Finland - Mestis1416143% $19,432.62 $(354.97)-2%
Norway - GET-ligaen1687645% $32,379.11 $378.521%
Russia - KHL47222247% $79,688.25 $379.890%
Sweden - HockeyAllsvenskan2079345% $31,629.93 $99.350%
Belarus - Extraliga1205647% $35,702.67 $793.732%

Min.Overlay#Bets#Wins%Wins$Bet$Profit%ROI
0.050.1103749848% $83,065.72 $3,634.06 4%
0.10.1577238149% $100,370.67 $9,565.24 10%
0.150.251823145% $91,892.02 $46.230%
0.20.2534714542% $77,366.27 $(1,767.16)-2%
0.250.3527412546% $78,996.08 $1,930.30 2%
0.350.51144842% $44,199.78 $(1,391.68)-3%
0.50.75231252% $12,080.48 $2,566.55 21%
0.7542150% $1,366.56 $869.6864%
1500$-$-
30871441 $489,337.58 $15,453.22 3.2%

In regards to totals, it is quite clear that the Russian League KHL has been losing a lot of money. Along with Finland, Denmark and Slovakia, there are several leagues that have lost a decent amount.

League#Bets#Wins%Wins$Bet$Profit%ROI
Austria - EHL1769152% $18,920.23 $1,668.41 9%
Czech Republic - Extraliga30014749% $37,182.74 $(633.21)-2%
Finland - SM-Liiga36016546% $43,868.27 $(2,039.49)-5%
Germany - DEL1014848% $7,552.95 $212.763%
Slovakia - Extraliga1707242% $18,560.13 $(1,248.60)-7%
Sweden - Elitserien20410853% $26,289.78 $3,044.05 12%
Switzerland - Nationalliga A24813454% $29,752.78 $2,933.59 10%
United States - NHL10550% $1,318.08 $164.4812%
United States - AHL10440%$807.07$(43.67)-5%
Denmark - Superisligaen1495738% $22,993.99 $(1,942.04)-8%
Finland - Mestis1436545% $21,586.29 $128.611%
Norway - GET-ligaen1276148% $13,930.82 $407.733%
Russia - KHL40316240% $57,320.20 $(9,203.67)-16%
Sweden - HockeyAllsvenskan2018944% $26,915.75 $(1,164.91)-4%
Belarus - Extraliga1316247% $29,607.89 $2,634.61 9%

Quite clearly however, there is a major problem with Russia, and with Finland having similar issues as noted in the forum above, it might be wise to analyse the totals (and perhaps h2h and line data) without these two leagues.
The following two tables show the minimum overlay with Russia and Finland, and without Russia and Finland.

Min.Overlay#Bets#Wins%Wins$Bet$Profit%ROI
00.1108450947% $83,381.49 $(2,166.16)-3%
0.10.1561028447% $77,613.44 $(2,879.81)-4%
0.150.233115346% $57,659.36 $(1,616.34)-3%
0.20.251737845% $37,744.14 $(36.85)0%
0.250.351165346% $31,935.32 $1,573.79 5%
0.350.5301963% $11,287.07 $4,919.70 44%
0.50.755120% $2,657.37 $(589.12)-22%
0.75400$-$-
42222200$-$-
23491097 $302,278.19 $(794.79)-0.3%

Min.Overlay#Bets#Wins%Wins$Bet$Profit%ROI
0.050.180137947% $61,211.89 $(1,935.43)-3%
0.10.1543821248% $55,216.94 $(344.18)-1%
0.150.225012148% $43,562.04 $474.611%
0.20.251356447% $29,514.55 $1,410.14 5%
0.250.35934852% $25,731.20 $3,873.31 15%
0.350.5231565% $9,100.88 $3,799.77 42%
0.50.755120% $2,657.37 $(589.12)-22%
0.75400$-$-
1500$-$-
1745840 $226,994.87 $6,689.10 2.9%

It would seem that the minimum overlay to use when ignoring Russian and Finnish leagues is around 15 to 20%.
The EU Ice Hockey predictions are released every day and are free of charge. Check out the results, free predictions and betting histories here: http://www.sportpunter.com/sports/ice-hockey/euro/

Posted in Model, Sport News | Leave a comment

Average NHL Goals per game per month

hagelin24s-1-webThere has been a bit of talk about how on average the number of goals increases and decreases over the course of a season because of the ice conditions. We’ve had a look at all the data going back to 1989 and the results are interesting.
It is well documented that the number of goals scored in any match has been on the decline, and this is clearly showed in the graph below. The year 2005 saw an upward trend when the shootout was introduced as well as the league’s zero-tolerance policy on obstruction penalties.
This saw, as you can see in the graph below a significant increase in the number of goals per match, but over time, the number has continued to decrease.

totalgoalsbyyear

But what is more interesting is the total number of goals scored per match throughout each season. The graph below outlines this along with the corresponding table. Clearly it shows the lower scoring matches when it is the playoffs. However, before then in months 9 to 12 and 1 to 3, there is no real significant difference in total goals scored. Some people might be able to see a pattern in that months 9 and 10 as well as months 1 and 2 are higher than months 11 and 12, but the difference I believe, is minimal. The amount of matches going over 5 and 5.5 in the lower months of November and December is only around 1-2% less than the other months.
Perhaps there is something small in it, but personally I believe that aside from playoffs, the number of goals scored throughout the season is relatively constant.

totalgoalsbymonth

MonthMatchesAv. TotalOver 5over 5.5
98305.9062.7%50.7%
1035385.9562.4%52.1%
1139165.8160.8%50.0%
1239415.8760.7%50.8%
139765.8561.2%51.4%
236175.9261.6%52.2%
345405.8260.5%50.7%
429165.6257.2%46.8%
57805.5256.7%45.0%
61204.9645.0%32.5%
Posted in Blog, Gambling Blog | Leave a comment

NCAAB totals on the increase

ncaa-basketballThe start of the new NCAAB (American College Basketball) season has seen some high scoring matches. Since the year 2000, scores have gradually been decreasing from a high of 142 on average to last years low of 133. However, this season already has seen a massive jump up to 147 points per game. This can be seen in the figures below:

YearAv. Scores
2000/2001142.1
2001/2002141.6
2002/2003139.6
2003/2004138.0
2004/2005137.4
2005/2006137.1
2006/2007137.4
2007/2008137.5
2008/2009135.8
2009/2010136.9
2010/2011136.7
2011/2012134.6
2012/2013133.3
2013/2014147.8

There are a number of reasons for the increase in scores. More free throws are being made with more fouls. The games are quicker, largely due to the shorter possession time. So will this greater trend continue?
Most likely, although I don’t expect it to aveage 147 points per game throughout the year. The table below, shows the average score, average line, difference and percentage number of games that have gone over season by season. The average scores are slightly different to those above, as these are only matches in which I have recorded a totals line.

DateMatchesAverage ScoreAverage LineDifference%Over
2003/2004702138.1136.81.350.9%
2004/20051936138.1137.80.349.6%
2005/20062334137.1136.30.749.7%
2006/20072775137.9136.91.051.4%
2007/20081922137.3137.00.349.0%
2008/20092480135.3135.4-0.148.8%
2009/20102451136.9137.3-0.448.0%
2010/20112550136.1136.10.149.2%
2011/20122460133.8133.70.049.8%
2012/2013623132.3133.5-1.347.4%

Once again the average score is decreasing. The average line also has been decreasing but at a lot slower rate than the score. Only 47.4% of scores went over last year. But I would imagine, this year, with a sudden increase in scores, that a lot more will be going over.
A full upgrade of the totals model for NCAAB is in the process at the moment, and results should be up soon. In the meantime, check out the latest NCAAB predictions and betting histories here, which are free of charge: http://www.sportpunter.com/sports/basketball/college/

Posted in Blog, Gambling Blog | Leave a comment

All about the basketball

basketball-ringIt’s basketball season, and what a cracker of a start we have had with our Sportpunter basketball models. Let’s go through them one at a time

NBA

Incredible results early in the season. We told you previously that early in the season has the best results, and aren’t we getting them! H2h betting has amassed a massive 34.6% ROI profit for the year so far, with big wins in the last few days on Boston (9.65) and the Lakers (11.75). Line or handicap betting isn’t far behind with 17% ROI made early, and whilst totals took an early hit the first week has recovered well for a small loss so far. All the betting histories are shown here: http://www.sportpunter.com/sports/basketball/nba/

NBL

NBL results were ordinary in the first week, but for those who persisted thank goodness that you did. Using pinnacle sports odds only, we have made a massive 43% ROI so far from 21 bets betting h2h with some big outsiders coming home that we rated as should be the favourite. Handicap betting has also made a healthy profit at 18% ROI whilst totals have made a steady 16% ROI so far this year. It’s a long season, and has only just started, so get on board now to get the rewards. Details here: http://www.sportpunter.com/sports/basketball/nbl/

Euro Basketball

With more than 30 leagues of predictions going up every day, there are plenty of opportunities to make some value bets. Once again using Pinnacle Sports odds, we have made a 4.9% ROI betting h2h in 2013 from nearly 1500 bets. Impressive stuff. Line betting has made 2.7% ROI, but the big winner has been totals betting, making 7.9% ROI from 1571 bets so far this year.

This isn’t a one off either. We’ve been predicting for 3 years now, and the records speak for themselves, with equivalent profits made every year. Over 3500 bets is a decent sized history don’t you think? The Euro Basketball model is free to get the predictions, so head over here to get them every day: http://www.sportpunter.com/sports/basketball/euro/

NCAAB

American College basketball has just started their new season, and once again we are predicting every day. Updates will be at 3.30am and 9.00am Australian Time, in order to get the best and most available odds. Those wishing to get up early have good reason, whilst for those in America, it’s the perfect time to bet on a long term profitable model.

This is now our 11th year in a row of predicting NCAAB, and results have been very good over that time. Whilst line betting has always struggled, it’s the totals that have most punters excited about. From over 8000 bets in the 11 years, we have made 6.0% ROI betting on totals. The NCAAB model is available for free, so full betting histories and details are available here: http://www.sportpunter.com/sports/basketball/college/

So welcome to the basketball season punters, and hopefully your profits will continue like past years
Best of punting luck

Posted in Model, Sport Models | Leave a comment

2013/14 NBA season starts tonight

nbaThe 2013/14 NBA season starts tonight and what better way to get involved them some profitable totals bets. We’ve analysed the last three years and it seems that the very start of the season is the most profitable. Check out the tables at the end of this post.

For totals betting, in the last three months of the calendar year, our totals model has had 683 bets for a 9% ROI. That’s incredible stuff, and there seems to be no reason why it won’t continue this year. Line betting in Oct/Nov/Dec has made 3.6% ROI from 682 bets, whilst h2h betting on NBA in these three months have made an amazing 11.6% ROI from 524 bets.

It’s quite clear, that if you want to get ahead with betting for the NBA, then the very start of the season is the best time to get the edge with Sportpunter’s NBA model.

What’s more, at this stage, the predictions are completely free of charge. Head over to this website to be part of the winnings in 2013/14: http://www.sportpunter.com/sports/basketball/nba/

h2hMonth#Bets#Wins%Wins$Bet$Profit%ROI
124310744% $37,310.22 -$3,100.26 -8%
222410246% $32,826.13 $1,677.16 5%
330011237% $39,912.91 $1,623.26 4%
41494933% $27,045.18 -$5,588.55 -21%
5752837% $11,769.63 $949.768%
619842% $2,594.53 $129.885%
700$-$-
800$-$-
900$-$-
1010770% $2,972.55 $2,689.45 90%
1125812247% $54,878.25 $3,754.44 7%
1225611645% $42,090.43 $5,143.36 12%
lineMonth#Bets#Wins%Wins$Bet$Profit%ROI
138719851% $65,014.17 $1,577.79 2%
232616651% $54,741.60 -$220.740%
338018649% $60,735.83 $540.601%
424411949% $46,418.58 -$1,359.94 -3%
5753445% $13,265.24 -$1,913.50 -14%
616850% $2,531.33 -$363.55-14%
700$-$-
800$-$-
900$-$-
10442045% $11,909.84 $174.321%
1130415752% $66,009.78 $211.690%
1233417151% $57,849.32 $4,544.61 8%
totalsMonth#Bets#Wins%Wins$Bet$Profit%ROI
138520052% $72,111.38 -$281.370%
231415650% $52,231.17 -$144.730%
335617148% $58,407.67 $1,235.34 2%
424512752% $44,539.50 $1,081.51 2%
5914549% $19,150.62 -$572.60-3%
615853% $2,422.09 -$256.19-11%
700$-$-
800$-$-
900$-$-
10462452% $13,980.78 $973.897%
1130916955% $70,351.06 $7,331.61 10%
1232818155% $61,206.89 $4,748.10 8%
Related Posts with Thumbnails
Posted in Model, Sport Models | Leave a comment