Sportpunter NBA. Odds Analysis Part 1

The NBA season 2017/18 is about to start on the 17/10/17 and once again Sportpunter will be releasing predictions every day for every match. Over the seven years that we have been producing probabilities for we have made substantial profits.

In total for head to head betting we have made 2.7% ROI from 4662 bets. Line or handicap betting has made slightly less at 1.5% ROI from 5416 bets, whilst totals have made 3.1% ROI from 5189 bets.

However these amounts can be increased through analysis by not betting at certain stages of the season and with certain overlays. We have shown previously (for example here or here ) that profits can be maximised at the start of the season. Profits in the past have traditionly been extremely good early in the season and then level out throughout the season before turning bad just before playoffs.

Limiting ones betting to the start and middle of the seasons, history suggests, should increase ones profits substantially from those figures shown above.
We have re-analysed the data to show you how much more one could make by limiting your betting later in the season.
Show below is a table showing the mimumum number of matches in that season that a team has played. So for example, if Team1 plays team2 and team1 has played 15 games, and team2 19 games, then the minimum number of games for this match is 15.

MinSeasonMatch#Bets$Bet$Profit%ROI
110139 $32,492.94 $9,965.88 30.7%
1020535 $100,861.12 -$1,220.90 -1.2%
2030484 $83,727.42 $5,968.13 7.1%
3040455 $70,763.48 -$4,567.31 -6.5%
4050446 $67,946.01 -$2,323.13 -3.4%
5060465 $69,879.15 $6,693.77 9.6%
6070439 $62,298.43 $7,574.05 12.2%
7080439 $59,678.20 -$968.59-1.6%
8090466 $80,206.26 $2,826.39 3.5%
90170269 $42,808.97 -$10,232.47 -23.9%
4137 $670,661.99 $13,715.82 2.0%

The table above shows obviously that betting early on has been very profitable and continually profitable up until the teams play around 90 matches. The data includes pre season matches, and with most teams playing 6-7 pre season matches as well as 82 regular season matches, this indicates that results have not been good post season when the minimum games is greater than 90.

If we don’t include post season matches, then the profit increases to 3.8% ROI from 3868 bets.

Similarly the table below shows a similar result, but profits are not there in the month leading up the the playoffs. This could be due to different motivations for teams. Profits up to around minimum matches 70-80 are most profitable with profits getting up to 3.2% ROI from 3156 bets.

MinSeasonMatch#Bets$Bet$Profit%ROI
110159 $38,455.33 $5,170.87 13.4%
1020575 $123,332.86 $6,260.14 5.1%
2030505 $95,984.23 $6,319.83 6.6%
3040489 $85,209.79 -$1,133.59 -1.3%
4050496 $86,026.81 -$2,239.35 -2.6%
5060471 $88,711.70 $3,716.12 4.2%
6070461 $77,347.09 $1,032.35 1.3%
7080453 $81,855.98 $254.560.3%
8090469 $104,366.07 -$4,165.02 -4.0%
90170264 $51,980.24 -$8,749.92 -16.8%

However profits for totals seem to be consistent throughout the year. Theres a small loss in the middle of the season, but this could be attributed to random variation. Profits have been made during the post season matches.

MinSeasonMatch#Bets$Bet$Profit%ROI
110148 $36,282.58 $5,195.24 14.3%
1020561 $120,678.39 $4,220.35 3.5%
2030466 $84,370.44 $2,852.37 3.4%
3040462 $78,393.49 $4,409.70 5.6%
4050440 $67,681.26 -$5,266.76 -7.8%
5060442 $69,122.96 -$2,124.86 -3.1%
6070471 $77,317.46 $1,255.55 1.6%
7080417 $64,610.29 $3,659.75 5.7%
8090394 $63,503.74 $2,995.83 4.7%
90170262 $49,956.23 $4,960.97 9.9%

One thing is for sure, is that profits are especially good from the word go. That is, as soon as the season starts, the best profits are made. So its important to get on board early.

This is the first article of a four part series. In the next article we will look at how we have gone when compared to the finishing line.
To sign up to the Sportpunter 2017/18 NBA model, click here for details.

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Sportpunter Models Go Bang

during the 2016 AFL Grand Final match between the Sydney Swans and the Western Bulldogs at Melbourne Cricket Ground on October 1, 2016 in Melbourne, Australia.

What a start to the footy season it has been with Sportpunter’s Footy Models.

Let’s take a look at the first two weeks of the AFL season.

15 bets into the AFL season, its only round 2, but already we have made a staggering 54% profit on turnover betting the line. Massive big winning bets on Richmond over Carlton, Brisbane over the Gold Coast and Essendon over Hawthorn has helped the profits roll in. Unfortunately no longer does the AFL model have a Jonathan approved Hawthorn bias, although it’s no secret that I personally wish they would win a game or two! It’s tough betting against your team and then going to the game to support them! I guess either way, I come out ahead, and you can too by following the Sportpunter AFL model which has been running since 1999. All details and betting histories here: http://www.sportpunter.com/sports/afl/

But better than that has been the NRL model. Five weeks in and we are looking at extraordinary profits. This year to date we have made 23 bets for an amazing 46% profit on turnover. These include big wins on St. George over Cronulla (3.03), South Sydney over Manly (2.13), and Manly over Sydney Roosters (3.43). In fact the NRL model has been so profitable since we introduced the player based model that it has made over 10% profit on turnover from 460 bets.

It’s not too late to sign up with plenty of the season still to come. Details and betting history here: http://www.sportpunter.com/sports/rugby-league/

But if its American sports and high turnover that takes your fancy, then take a look at Sportpunter’s NBA model. Once again the model has not failed to impress. This season we have made as expected over the years. 2.4% profit on turnover betting the h2h from 665 bets, 1.7% POT betting the line are both in line with our long term betting record going back to 2010. Totals this year however have gone amazing, making 7.2% POT from 689 bets, which takes the long term result since 2010 up to 3.1% POT from over 5000 bets. Put simply an average $1000 bet on the NBA totals alone, could have netted you just on $50,000 profit for the year to date.

Details here for the NBA: http://www.sportpunter.com/sports/basketball/nba/

Make sure you have a look at the Sportpunter footy models, and best of punting luck.
Cheers
Jonathan
www.sportpunter.com

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AFL Season 2017 and random variation

The 2017 AFL Season is fast approaching and once again Sportpunter will be providing predictions.

Last year might have been a sour one, but we will show in the analysis below how we expect to go in 2017.

If you look at the bigger picture, we have made 12.1% ROI from line betting in the last 12 years and 10.3% ROI in the last five years. With only about 140 bets per year there’s bound to be year to year variation in results.

In fact, we’ve even done a simulation of potential profits. Given an average line bet size of $190 (as per average bet size of past 10 years), and a random amount bet from as low as $50 up to $329, and 140 bets per year. We simulated the season based on the fact that we have a 10% ROI and a 5% ROI respectively. The graph below shows both. So even with a 10% ROI, over 140 bets there is still a very good chance that we would have a losing year. The graphs show 50,000 simulations and the %ROI that we received after each one.


That just goes to show that, even with a big edge, random variation still plays its part, and as a successful punter, one has to consider this as part of your own personal betting strategy. A live example of random variation can be seen in the NRL model in the last 3 years where a player based model was implemented. In 2014 we made 10.9% ROI followed by only 0.2% ROI the next year and then 13.1% ROI in 2016. (Subscriptions is open for rugby league here)

Interestingly as well though, the average bet size for line betting has decreased a little over the years. Bet sizes increased considerably in 2011 to 2014, around the time we implemented a player based model, however the last two years the average bet size has been considerably lower. Whilst this is only a smaller sample size of 2 years, it could be noted that there could be a reason behind it.

Bet size, using the Kelly method can only be larger due to smaller odds or larger overlays. Whilst betting on the line the odds are kept moderately consistent, the only way where bet size is
smaller if the overlays are smaller.

This can only happen if the market has become more efficient. Perhaps the bookies are pricing up smarter odds, perhaps the odds have been backed in earlier, perhaps the smaller bet size is just random variation. Either way, it’s something for punters to take note of.

That said, there are still plenty of good signs coming up for the 2017 AFL Model, and I’m looking forward to sharing the profits that the last 18 years have produced.
Betting histories and subscription details for the AFL are available here: http://www.sportpunter.com/sports/afl/

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NRL Season to begin Thursday

The NRL season is set to star this Thursday and once again Sportpunter are giving out predictions. Every day that there are matches at 11.30am predictions will be uploaded, and hopefully they will be as successful as the past.

For the past three years that we have had a player based model, we have seen a profit on turnover of 8.2%

Subscriptions are now available to purchase, and you can double up with AFL to make things cheaper. Make sure you get on early, as results show especially that early rounds can profit even more.

Details here: http://www.sportpunter.com/sports/rugby-league/

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NBA Season analysis 2016/17

9372021-lebron-james-nba-finals-cleveland-cavaliers-golden-state-warriorsThe NBA Season is just about to start and Sportpunter will be giving predictions every day for every match in 2016/17. Please note, that as shown below in our analysis, it is critical that you sign up and get the first few weeks of predictions, because – as we shall show below – they are the most important and most successful for our NBA model. Click here to sign up or view prices for Sportpunter’s NBA model for season 2016/17.
Ok, now onto the nitty gritty. Firstly h2h betting. The betting history shows us that we have made 2.8% ROI from 4000 bets since 2010/11 which is great going. However last year we made an incredible 6.8% ROI, and with some simple analysis as shown below we can increase that amount.
Analysis of profits week by week is shown below in the graph for head to head betting

 

chart1

Clearly this shows that the majority of the profit has been made in the first 2 weeks. That’s right the first 2 weeks!. But profit also continues to rise until about week 22 to 24. This is generally a week or two just before playoffs. Whilst playoff profits have done well at 2.2% ROI, it’s the week or two beforehand that things don’t do that well. Mostly likely for this is because of teams motivation. Are certain teams not capable of making the playoffs? Maybe some teams have already secured a playoff position, and maybe some teams require every match critical.
I plan on doing more analysis on this, and hopefully by the time we come to 2-3 weeks out from playoffs, I will have upgraded the model to account for this. But if at this stage we don’t include the 2 weeks out from play offs, profits increase from 2.8% ROI up to 3.2% ROI, a slight but nice improvement.

For the line (or handicap betting) for NBA, I have included the profits (shown in brown) along with the amount bet(shown in green).

chart2

On first look, the amount bet clearly decreases as the season progresses, which indicates again that the big overlays occur at the start of the season. The brown line suggests again that most profits are made in the early weeks, and from weeks 10 to 24 have shown near even results. Inn week 25 (one week out from playoffs), a massive 20.7% loss has been made from 127 bets. Clearly, I recommend not betting this week until I can better improve the model. Playoffs have not recorded a profit either. From 227 bets a 10% ROI loss was made. A small sample, but something to be wary about as well. More on this to come with future analysis.

A similar graph has been made with totals betting as well as shown below.

chart3

It also shows (with the green line) that the amount bet decreases as the season progresses. In that the biggest overlays occur at the start of the season. The brown line indicates this as well with profits increasing up till about week 10. Losses were made from then on until round 20, which follows by big profits up to the playoffs. The playoffs record is just over breakeven.
So based on the above, what are my recommendations? Clearly the first few weeks are critical to jumpon board the NBA models, and profits continue to increase until about 2 months in. From then, I will leave it up to you if you continue betting.

However, I highly recommend not betting h2h and line betting a few weeks out from the playoffs.
Make sure you sign up before the season starts. Subscriptions and price information is shown at this link. Best of Sport Punting luck!

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NFL 2016 analysis

maxresdefaultNFL is back for 2016 and we have included some analysis as shown below.
Shown below are analysis of the NFL betting for the 2014 and 2015 seasons.

Firstly line betting. Results are good at the start of the year, and I see no reason not to be early. However a minimum overlay of 25% might be the best taking. Keep in mind that these are small sample sizes.

For totals betting, profits seem to occur in the latter half of the season from around round 14 onwards. A minimum overlay of 12.5% might be advantageous, and this takes away a lot of the noise, so that betting from around weeks 4 or 5 is best for totals betting.

Once again note that these involve small sample sizes, but hopefully we will come out in front again in 2016/17
You can sign up to the Sportpunter NFL subscription here.

Line Data

Week#Bets#Bet$Profit%ROI
122 $3,874.63 $1,411.99 36.4%
225 $3,419.47 $1,069.81 31.3%
322 $4,021.99 -$517.14-12.9%
420 $4,518.50 -$809.24-17.9%
524 $3,935.43 -$306.78-7.8%
621 $3,863.94 $946.5024.5%
724 $4,692.02 -$722.41-15.4%
818 $4,206.78 $816.0919.4%
921 $4,239.46 $17.820.4%
1019 $2,966.09 -$830.58-28.0%
1122 $4,795.53 $848.0117.7%
1224 $4,988.09 $921.0818.5%
1319 $3,808.18 -$2.13-0.1%
1426 $5,306.91 -$1,087.47 -20.5%
1524 $5,572.21 -$1,505.19 -27.0%
1626 $6,716.63 $420.056.3%
1722 $4,548.67 $1,916.29 42.1%
185$817.81-$55.56-6.8%
196 $1,238.09 $492.7339.8%
201$335.74$278.6683.0%
210$-$-#DIV/0!
Overlay#Bets#Bet$Profit%ROI
0.050.07549 $3,200.60 $715.8722%
0.0750.150 $4,716.13 -$1,576.09 -33%
0.10.12546 $5,540.16 -$214.38-4%
0.1250.1544 $6,459.60 $673.4110%
0.150.17531 $5,450.41 -$848.17-16%
0.1750.222 $4,382.27 $361.518%
0.20.2545 $10,465.60 -$990.55-9%
0.250.343 $12,377.35 $1,491.92 12%
0.30.554 $21,357.45 $3,111.05 15%
0.527 $3,916.60 $577.9615%
Week, Overlay >0.25#Bets#Bet$Profit%ROI
14 $1,405.58 $606.7443.2%
22$658.90$595.5490.4%
33 $1,314.19 -$353.19-26.9%
47 $2,680.90 $133.075.0%
52$887.49-$887.49-100.0%
65 $1,889.03 $604.6832.0%
78 $2,675.08 $60.012.2%
89 $3,025.32 $178.185.9%
95 $1,857.45 $2.570.1%
101$295.99-$295.99-100.0%
118 $2,453.53 $280.1911.4%
128 $2,923.99 $2,149.5873.5%
136 $1,748.01 $718.8641.1%
146 $2,331.61 -$357.29-15.3%
158 $3,252.39 -$932.55-28.7%
1612 $4,632.06 $624.9313.5%
177 $2,644.70 $1,709.7364.6%
180$-$0.00#DIV/0!
192$639.44$64.7010.1%
201$335.74$278.6683.0%
210$-$0.00#DIV/0!

Totals Data

Week#Bets#Bet$Profit%ROI
117 $2,565.06 -$252.10-9.8%
222 $3,724.93 -$187.93-5.0%
322 $3,621.36 -$1,372.34 -37.9%
416 $2,175.13 -$297.87-13.7%
519 $3,163.41 $121.833.9%
618 $3,214.98 -$25.03-0.8%
717 $2,710.22 $1,222.88 45.1%
818 $3,004.15 -$746.86-24.9%
918 $2,562.75 $704.5927.5%
1018 $2,893.62 $404.3914.0%
1120 $3,006.14 -$625.24-20.8%
1219 $2,817.73 -$193.23-6.9%
1318 $2,876.97 $88.753.1%
1422 $4,634.16 $162.873.5%
1521 $3,700.95 $576.2315.6%
1622 $3,820.90 $686.6918.0%
1724 $4,442.35 $225.265.1%
183$350.13-$78.37-22.4%
194$619.82$322.8352.1%
202$203.10-$88.79-43.7%
210$-$-#DIV/0!
Overlay#Bets#Bet$Profit%ROI
0.050.07558 $3,821.70 -$244.55-6%
0.0750.152 $4,842.33 -$40.02-1%
0.10.12542 $4,946.36 -$682.13-14%
0.1250.1538 $5,519.09 $52.471%
0.150.17537 $6,255.54 $751.4912%
0.1750.228 $5,521.11 -$1,672.98 -30%
0.20.2531 $7,184.02 $1,792.54 25%
0.250.324 $6,820.08 -$1,557.78 -23%
0.30.527 $10,063.78 $2,357.56 23%
0.522 $1,079.43 -$53.62-5%
Week, Overlay >0.125#Bets#Bet$Profit%ROI
17 $1,745.34 -$91.61-5.2%
213 $2,901.38 -$225.30-7.8%
311 $2,528.68 -$1,485.25-58.7%
46 $1,414.57 $162.4811.5%
512 $2,593.28 $220.748.5%
612 $2,681.11 $199.157.4%
79 $2,111.08 $1,022.4848.4%
811 $2,323.50 -$700.47-30.1%
98 $1,658.68 $685.4741.3%
109 $1,992.38 $721.8736.2%
1110 $2,199.53 -$346.57-15.8%
129 $1,984.31 -$133.19-6.7%
1310 $2,053.66 $270.8113.2%
1418 $4,264.98 -$51.37-1.2%
1511 $2,737.15 $528.6319.3%
1614 $3,103.89 $526.7617.0%
1714 $3,559.02 $202.625.7%
181$202.85-$202.85-100.0%
192$387.66$365.2894.2%
200$-$0.00#DIV/0!
210$-$0.00#DIV/0!

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Sportpunter Baseball 2016

watch-baseball-online-streamThe MLB, American Baseball season is fast drawing to a start and this year Sportpunter are going to be doing something a little different.

We will be giving away the predictions for free.

For the first week, predictions will be free of charge, and to get them, you just need to sign up a little form from our main baseball webpage here: http://www.sportpunter.com/sports/baseball/

And as shown by our analysis as linked here, there’s no better time to get on board. This link will show you our analysis of the 2014 and 2015 seasons. Our betting analysis has shown a 7.8% ROI betting on totals from nearly 2000 bets. Almost twice as much has been bet on the unders, for almost twice the return on turnover.

Surprisingly, overlays above 12.5% for betting over the line were not profitable, however it is a smallish sample size. Similarly overlays under 15% were not profitable for betting unders. Profit by month was most interesting, with a staggering 14% ROI made in the first 2 months. 3.8% ROI was made with the remainder of the season, so results were still very promising later.

So obviously it is very important to get on board the baseball totals model early in the season, and now that it’s free. It should be a no brainer! Predictions, at this stage will be released between 9pm and 10pm AEST.

Click here for all the info: http://www.sportpunter.com/sports/baseball/

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AFL Season 2016

hodgeHi Guys, just a quick note to remind you that the AFL season starts on Thursday.

Over the years we have had an amazing record as shown here. The last 7 seasons has seen us record over 15% profit on turnover betting the line.

Incredible stuff. Last year we recorded a 6.3% POT, but astute punters will remember that I did not recommend any of the suggested bets in round 23 (one round before finals), due to motivational factors of teams (teams resting entire teams, dead rubbers etc. etc.).

If you were to follow that advice, then the profit on turnover increases to 11.4% for the year.

AFL betting has been Sportpunter’s bread and butter, and our previous articles have suggested that a lot of the profits come in the early rounds as shown here: http://www.sportpunter.com/2014/03/afl-profits-round-by-round/

So make sure you sign up for 2016, as places could well be limited.
Click here for all the information and statistics: http://www.sportpunter.com/sports/afl/

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NRL 2016 Season analysis

9885ec3187ff9cd0ee98ae23cd040c35The rugby league NRL season 2016 starts tonight with the Eels taking on the Broncos, and once again Sportpunter will be delivering predictions for the upcoming season.
We are excited again with our model, as it has shown over the past two years to be very profitable since we introduced our player rating system. In fact the last 2 years we have made 5.4% ROI from 291 bets, and we hope that that number will continue into 2016.

Subscriptions are available with prices as shown here, and the betting histories are shown here:

But first, let’s do some analysis on how the model has gone, specifically looking at the last two year. Please refer to this webpage, with links to the right outlining the statistical analysis for all figures.

Analysis shows that we have made a 5.4% ROI from 291 bets as previously stated since the player based model started. But interestingly, most of those profits occurred with the Away side. 11% ROI was made from 179 betting on the away team, as opposed to a 2% loss for the home team.

When looking at the probability, a small loss was made betting on teams with probs < 50%, whilst a 6.5% ROI profit was made on our calculated favourites. When looking at analysis by odds, we see an interesting picture. All up a 7.2% loss was made betting on teams with odds less than 1.90, whilst an incredible 21% ROI was made betting on the underdogs. Analysis by overlay showed an increasing profit with increasing overlay which is a great sign of an accurate model.

Analysis by round showed that early stages are very good betting opportunities, with an 11.8% ROI made in the first 20 rounds, whilst the last 10 rounds provided an 8.6% loss. Please note however, that these involve very small sample sizes and not too much should be written into it. However it is interesting analysis and one might want to change their strategies based on this information.

Probably the greatest analysis from above is how the away team and underdogs seem to have gone with the model in the past two seasons. Does the model just pick a good dog, or is it biased to the away team? Well one way to work this out is to test how the model has gone blind betting every game to win $1000.

As shown in the link above, blind betting the home team over the last 2 years has resulted in a 5.8% loss as compared to only a 2.8% loss blind betting the away team. A small difference, but more interestly, blind betting the favourite resulted in a 7.8% loss whilst blind betting the underdog results in a 7.4% profit. One could have easily just bet every dog the last two years and been way on top.

Blind betting the Underdog when away was even better, resulting in a 9.7% advantage.

So is this a long term trend, or just a recent adjustment, or do we not have enough data to come to any concrete conclusions?

Well I decided to look back on all data (that I have) since 2005. Analysis shows here that blind betting the home team resulted in a 2.8% loss, whilst the away team had a 6.7% loss. Blind betting the fav had a 5% loss, whilst blind betting the underdog only a 1% loss. Blind betting the underdog if playing away had a 3.8% loss.
The difference between the losses made blind betting the favourite and the underdog is significant, and it tells me that the underdogs are underrated, maybe moreso recently. Has home ground advantage diminished over the years? Possibly, and teams become more professional in their strategies.

So what should we conclude about the model and best form of attack in 2016? Well in total, we should hopefully be able to produce another great profit, and you must note that in the last two years more bets are suggested on the underdog than the favourite. So any bias in the odds is already accounted for with the model. Will the underdog bias continue? Most likely, but just betting the underdog could be a recipe for disaster as the market adjusts.

To subscribe to Sportpunter’s model in 2016 the click here for all the information.

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Super Rugby 2016

Super-Rugby-2015-Preview-610x360The Super Rugby season starts again this weekend, and Sportpunter once again will be giving predictions for it.

Over the years we have made 9.2% ROI betting head to head, and although the season is short, there should be plenty of opportunity to make profits again this year.

This year provides us with three new teams. The Kings, who have been in the league previously, Argentina’s Jaguares and Japans Sunwolves. Punters may remember when the AFL introduced new teams and we cleaned up betting against and for them that season. We were able to accuretly calculate the ratings for those teams and I believe we will be very good at doing it again in Super Rugby.

Ive decided to analyse how the betting for Super Rugby has gone by round. Are more profits made at the start of the year or later in the season, and should one bet early in round 1?

Whilst I haven’t collected all of the data (some of the data was stored in the early years not including the round number), history has shown that it is indeed profitable betting early in the season as well as late.

Round#Bets#Won%Won$Bet$Profit%ROI
121838% $3,898.87 $230.646%
2231357% $3,954.10 $2,781.77 70%
322627% $3,837.74 -$1,873.25 -49%
4251560% $5,622.66 $865.7115%
5231148% $4,221.24 $1,505.22 36%
6261038% $5,432.59 -$139.92-3%
7281450% $5,850.57 $225.744%
8211152% $3,793.49 $231.246%
915427% $2,869.86 -$205.21-7%
1020945% $3,507.86 $9.260%
11221568% $5,394.50 $1,918.57 36%
12221045% $3,254.16 -$9.590%
1317953% $2,655.44 $1,376.47 52%
1414857% $2,490.03 $882.7835%
15191263% $3,051.56 $970.0632%
1615640% $2,009.16 -$635.48-32%
1714857% $2,800.74 $823.3529%
1818739% $4,048.24 -$228.74-6%
1911436% $1,539.91 -$220.13-14%
209444% $1,448.78 -$58.08-4%
214375%$904.49$112.2912%
2211100%$313.71$235.2975%
23100%$106.39-$106.39-100%

Its a small sample size no doubt, but there is no reason not to bet in round 1 in season 2016. So make sure you subscribe before Friday. Click here for all the details:
http://www.sportpunter.com/sports/rugby-union/

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