Top 4 AFL games where player model is different to team based model

wbDOGSruckhudson_gallery__470x324-420x0We previously talked about the difference between the original model and the player based model as discussed before. But today, we will outline the 4 games with the biggest difference in probabilities and why. So here they are.

4. Western Bulldogs vs. Sydney. Round 21,2012. At a finishing line of +49.5, our old model rated the bulldogs a 69.8% chance to cover the line. And why not, they are playing at home after all. However, Hargrave was suspended, and five other players were taken out of the side. The reason was basically because of their thrashing against Richmond the week before where they lost by 70 points. But it wasn’t just that game, they were slaughtered against North by 56 points the week before that and destroyed by St. Kilda by 76 points the week before that too.

To say that their team was a little decimated, with young inexperienced players bouncing around the park would be an understatement. The dogs had no reason to win, and instead were trying out new players, whilst some of the older players were either injured or running around in the seconds out of form.

The player based model rated them only a 38.4% chance to cover the 49.5 points. So what turned out to be a significant bet for the western bulldogs, was a significant bet for the swans when player performance was taken into consideration. In the end the bulldogs lost by 82 points, and that after they were ahead at quarter time by 3 goals. Even Ryan Griffen’s 47 possessions couldn’t help them that day.

3. Essendon v Hawthorn, Round 18, 2012.
Essendon were at this stage 11 wins and only 5 losses for the year, but in recent time they had become more suspect. A surprise loss to Melbourne, a 71 point loss to the saints and a 67 point loss to Geelong the week before signalled that something might be up. Hawthorn had just won 7 matches in a row, including thrashings against Collingwood and Carlton at an amazing percentage of 230%. In those 7 matches they had racked up 984 points to their oppositions score of just 427.

The Essendon team had cracks all throughout their line up with injuries, and Dyson and Myers were both withdrawals. Hawthorn skipper Luke Hodge came back into the side as did defending quarterback Brent Guerra. They were replaced by benchwarmers Murphy and Cheney.

The final line of 35.5 (pushed out from 31.5) saw no bet on the original model, but on the player based model, we rated Essendon only a 15% chance to break it. They didn’t get close. In fact they were 43 points down by quarter time, and ended up losing by 94 points. An easy big win for the player based model.

2. Carlton v Richmond, Round 18, 2012
The line here started at 6.5, but went out to 11.5 by the start of the game, which gave our model a 65.7% chance of covering it. Both teams came into this match in haphazard form. Richmond had no real changes to a team that was competitive but just kept losing matches, whilst Carlton welcomed back Kreuzer and Lucas for the expense of Bower, Russell, and Duigan. Our player based model had Carlton at only a 36% chance of covering.

So what started as a reasonable bet for Carlton at 11.5, finished as a reasonable bet for Richmond based on players. The final result was Carlton by 4 points. You can’t win them all.

1. And the number one match that had the biggest influence for the new player based model was indeed a match that uses the teams above late in the 2012 season. Richmond v Western Bulldogs, Round 20. We’ve already said why the western bulldogs were down and out. Dalhaus and Cross were out of the side from the week before, which made their line up look even more weak. Richmond has just had an impressive 48 point win against Brisbane up at the Gabba. With the exclusion of Foley, who was out for the year, the Tigers had a full strength side. The -35.5 point handicap (which ended at -40.5) originally suggested a big sized bet for the dogs, but under the player based model, we gave the tigers a 73% chance to beat it. The Tigers ended up winning easily by 70 points.

What is interesting, is that 3 of the top 4 matches included big one sided matches, no doubt, due to injury concerns of players, and all of them occurred late in the season. The one losing bet was marginal, whilst the big favorites came through with the other bets.

This tells me that the player based model might be doing a few extra things than just measuring the calibre of the players. It might as well also measure the overall teams performance better later in the season when certain teams have little incentive to win matches. Whilst Richmond could not have made finals, their morale must surely have been higher in the latter half of the year than the western bulldogs that were clearly just going through the motions.
Similarly with the Hawthorn v Essendon game. Whilst Hawthorn were up and about, they came in perfect timing to opposition Essendon who were showing some weakness, not only on their performances but also on their availability list.

Subscriptions for the 2013 AFL season is now available. These prices will go up by 50% on the 1st of March, so get in before then. Details as shown here: http://www.sportpunter.com/sports/afl/

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AFL Analysis Season 2011/12 New vs Old model

With the 2013 AFL season shortly on us, I have managed to analyse the old and new AFL models based on finishing prices as given by pinnacle sports. These are the prices shortly before the start of the match, which naturally would include any change in prices due to player inclusions and exclusions.

Before I give the details of the analysis, a few things must be mentioned. No matches involving GW Sydney or Gold Coast were included due to minimal player based data. Finals were not included due to lack of reliable data from pinnacle. Round 1 of each season (including 2011 where we won 6/6 line bets) have not been included, and there are missing odds, of which about 75% of matches are included.

This shouldn’t make the analysis any worse. Keep in mind that we are not trying to determine how good any of the models are, but meerly trying to determine the difference between the original based model and the new player based model to see which one did better.

Analysis on results are done using a hold out sample so there is no backtracking bias. (eg we make the models as good as possible up to the start of 2011 using only data up to the start of 2011, and see how they go in 2011 and 2012), and it must be noted that the new model is not a complete revamp of the original model but rather the old model with extra player data added on.

Results are shown in the h2h and line graphs below. These show that whilst the original model lost 8.3% ROI in 2011/12, the new player based model made 6.2% ROI. Likewise, whilst the original model made 0.3% ROI the new player based model made 22.7% ROI.

Once again results of the original model should not be looked at with must distaste, as the official results as shown here: http://www.sportpunter.com/result-history/afl-results/, show that line betting during this time recorded the biggest profits on record. The difference is the fact that certain teams have not been included, round1, finals and other match odds missing.

But the reality is very true, even using closing odds, the new player based model is a big improvement on the original model.

Next, we will look at the biggest differences in probabilities for some of the games, and why.

Subscriptions for the 2013 AFL season is now available. These prices will go up by 50% on the 1st of March, so get in before then. Details as shown here:  http://www.sportpunter.com/sports/afl/

afl201112h2hmodel

afl201112linemodel
 

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AFL Season 2012 with new player model

057247-2012-premiersA lot of people are telling me not to change the successful Sportpunter AFL model, because it has done so well for them in the past. And I tend to agree. Our record speaks for itself. 14 years of history, and we have made over 10% ROI betting head to head, and 12% ROI betting the line. In fact the last four years alone and we have made a minimum 13% each year, up to a maximum of an incredible 21.7% last year from 154 bets. The full record is shown here.

With such amazing results, why change anything? The model is consistently profitable and amazingly accurate.

Well, I reckon I can make it even better, and on first analysis I have.

Basically I have tested for 2012, one of our greatest years and have compared the original model to the player based model. I have not included any match where GWS have played as their player information before this year was void. And the analysis was done using a hold out sample (not back testing).

Results are in. Using the old model for head to head betting, we recorded a very satisfactory 14.6% ROI and a profit of $1,871, which is not that dissimilar to our official results. However the new player based model not only bet more (46% more), but also recorded a 22% ROI for the year, and a profit of $4,129. That’s more than double.

When looking at line betting, the original model produced a $3,390 profit at 14.1% ROI. This is considerable lower than our official results as listed above. Once again this is because we rated GWS amazingly well, and profited quite a bit betting on and off them. With this analysis, they are not included for the purpose of comparing the two models.

However, the new player based model recorded 36% ROI and a $8,823 profit. Once again, more than twice as much.
But what is even more interesting is when these profits were recorded.

Shown below is the graphs for the original and player based model by bet number and profit. Both record nice profits, however the player based model gets off to a greater start, and whilst the original model breaks even during the last third of the season, the player based model continues to grow in profit

afl2012h2hmodel

This is also shown, and perhaps more dramatically when looking at line betting graph below. Both models increase in profit during the first third of the year at equal rates, and then in the last third of the year, the player based model continues to increase, whilst the original model takes a little nose dive. Clearly the player based model excels in the latter half of the season when all sorts of injuries and rested players occur.

afl2012linemodel

That being said, this is only analysis from one year. I don’t have enough player based data to do more. It also assumes that we know exactly who is in the side at the start of the game. Sometimes, this is not known until an hour or two before start time. But you can’t complain with the results!

In the next article I will outline the matches in 2012 that had the greatest difference in probabilities and show you why the bets differ from both the models.

In the meantime, you can sign up to the AFL 2013 season at this link. The price is exactly the same as last year, however note that the price will increase on the 1/3/13 to 50% more. So if you get in quick before then, then you can get the lower price.
Bring on AFL 2013 I say!

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Tennis Serving Speed Male vs Female

John-IsnerIt’s well documented and observed that on average male tennis players serve faster than females. This is common sense considering that males are much more stronger than females. But how much difference is there really and can the strongest female out serve the weakest male?

Shown below is a graph showing the distribution of female and male players for their average fastest serve per match.  What we see here is that males on first serve average around 201 km/h, whilst females average 168 km/h, and there is a little overlap in the distributions, in that the fastest serving female does out serve the weakest male.

tennisservicesppedbysex

 

 

 

 

 

 

 

 

 

 

 

 

Here are the bottom 5 male servers in regards to speed:

James Lemke
Timo Nieminen
Danai Udomchoke
Christophe Rochus
Flavio Cipolla

Whilst Lemke and Nieminen are virtually unknown, Udomchoke, Rochus and Cipolla are often on the circuit. Christophe Rochus is now retired, but at only 170cm, it must be tough for him to get any kind of service speed. Udomchoke and Cipolla are in the same boat, both standing small at 172cm.

In comparison the top 5 male fastest serves are as follows:

Milos Raonic
John Isner
Andy Roddick
Taylor Dent
Benjamin Becker

This indeed is very interesting. Isner the giant stands at 2.06m, so its understandable where his pace comes from. Raonic also stands tall at 1.96m. Roddick and Dent are meerly 1.86m tall, but the surprise packed is Benjamin Becker, who at only 1.77m is at almost comparable height to the lowest five male tennis servers (with regard to speed).

The five lowest female players are:

Andrea Petkovic
Camille Pin
Antonella Serra Zanetti
Tatiana Panova
Anna Smashnova

At 1.8m tall, Petkovic has no excuses for her slow speed, whilst Smashnova, now retired, would always struggle to get off it at only 1.57m tall.

The top 5 women’s servers are:

Venus Williams
Sabine Lisicki
Serena Williams
Nadezda Petrova
Rebecca Marino

At 1.85m, Venus Williams has what it takes to have a great first serve. Her sister Serena, might well be 10cm smaller, but can serve it up as well.

So in conclusion, height is a definite factor in serve speed, maybe moreso for men than women. The fastest serving female does serve faster than the weakest male, but in general, a male will serve on average 33 km / h faster than a female.

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2012 Triple J Hottest 100 – Who will win? Predictions and Odds

triplejhottest1002012Triple J hottest 100 for 2012 voting has opened and Sportsbet already have odds that have moved quite significantly.

Originally they opened up with Icelandic folk band Of Monsters and Men to take out the coveted number one spot, however the novelty raps of Macklemore are now raging hot favourites. A novelty song has not won the top prize since the Offspring got up with Pretty Fly in 1998. After starting at odds of more than $3, Macklemore have firmed in to $1.50, making them a very short priced favourite.

Little Talks from of Monsters and Men have drifted to 4.00 whilst Triple J favourite band of the year Tame Impala occupy 3rd and 4th favourite with Elephant and Feels like we only go backwards.

JPlay have a list of the most played songs of 2012 on triple and whilst earlier released songs are favoured (because they have had a chance to be played more),  Parachute Youth’s Can’t Get Better Than This tops the list.  Major Lazer’s Get Free and Skrillex’s Bangarang are chances at number 1 spot according to voting, and they were played 2nd and 4th most times throughout the year.

I’ve created a list in Spotify of the most played songs on Triple J in 2012 here so have a listen:

http://open.spotify.com/user/1231415808/playlist/2NgKVKLhngZrh185M4a6Wu

 

As for who will be voted up the top for the top 100? Well Once again bigfooty have come to the rescue with kBuck suggesting his top 100. It is shown below with the top 10 linked to their songs in Youtube.

As for betting value? I wouldn’t have put Macklemore up there but considering he has firmed from over 3.00 into 1.50, the punters disagree. Mumford and Sun’s I will wait and Of monsters and men have commercial radio backing. As do the black keys, which might well get them along the line. Skrillex had better songs in last years hottest 100, but will probably go higher with bangarang purely because dub step has become a lot more acceptable in main stream and alternative music. I can see Tame impala featuring well but not having enough commercial radio backing to get to the top spot.

Either way, unlike last year where Goyte were unbackable to come number one with Somebody that I used to know, this year, should be a good close contest for the number one spot.

Here it is kBucks top 100 here:

1 Macklemore and Ryan Lewis – thrift shop
2 Mumford and sun – I will wait
3 Tame impala – feels like we only go backwards
4 Of monsters and men – little talks
5 Black keys – gold on the ceiling
6 Frank ocean – pyramids
7 Angus stone – bird on the buffalo
8 Lana del ray – blue jeans
9 Rudimentals – feel the love
10 DJango Django – default
11 Alt j – Breeze blocks
12 Chet faker – im into you
13 Kendrick lamar – swimming pools
14 Flight facilities – clair de lune
15 Frank Ocean – lost
16 The Xx – angels
17 The shins – simple song
18 Frank ocean – super rich kids
19 The black keys – dead and gone
20 Muse – Madness
21 Urthboy – naïve bravado
22 Foals – inhaler
23 360 – child
24 The cast of cheers – family
25 Avicii – silhouettes
26 Van she – idea of happiness
27 Tame impala – elephant
28 Two door cinema club – sun
29 Oh mercy – drums
30 San cisco – wild things
31 Plan b – ill manors
32 Alt j – tessellate
33 Metric – youth without youth
34 Beach house – myth
35 Mumford and suns – babel
36 Lana del ray – born to die
37 Mark Foster, A-trak, Kimbra – Warrior
38 Block party – octopus
39 Flume – holdin on
40 Skrillex – bangarang
41 The xx – chained
42 Passion pit – take a walk
43 360 – run alone
44 Of monsters and men – mountain sound
45 Rudimentals – not giving in
46 Two door cinema club – sleep alone
47 Birds of Tokyo – this fire
48 The rubens – my gun
49 Django django – wor
50 Tame impala – apocalypse dreams
51 Disclosure – latch 52
52 Hot chip – flutes
53 San cisco – fred astaire
54 The rubens – the best we got
55 Plan b – playing with fire
56 Santigold – disparate youth
57 Passion Pit – I’ll be alright
58 Temper trap – rabbit hole
59 The presets – promises
60 Tzu – beautiful
61 Loon Lake – Cherry Lips
62 Owl eyes – cystalized
63 Xavier Rudd – Follow the sun
64 The chemical brothers – theme for velodrome
65 Grimes – oblivion
66 Urthboy – knee length socks
67 Parachute youth – can’t get better than this
68 Hilltop hoods – speaking in tongues
69 MS MR -Hurricane
70 The hives – go right ahead
71 Fire santa rosa fire – code breaker
72 Hot chip – how do you do
73 Major lazer – Get free
74 Illy – heard it all before
75 Last dinosaurs – andy
76 Grimes – genesis
77 The cast of cheers – animals
78 Knife Party – Internet friends
79 Mr little jeans – runaway
80 Alpine – seeing red
81 Tame impala – why wont they talk to me
82 Temper trap – trembling hands
83 Ladyhawke – black white and blue
84 The presets – Youth in trouble
85 Hilltop hoods – drinking from the sun
86 Regina spektor – all the Rowboats
87 Ball park music – coming down
88 Seth sentry – float away
89 Lisa Mitchel – Spiritus
90 Chance waters – maybe tomorrow
91 Deep sea arcade – steam
92 Flume – sleepless
93 Jack white – love interuption
94 Kimbra – my hands
95 Sarah blasco – I awake
96 Thundamentals – Brother
97 Missy Higgins – Unashamed desire
98 Children collide – sword to a gun fight
99 tyler touche – baguette
100 Kaiser Chiefs – listen to your head

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Bumper start to Tennis season 2013

Roberto-Bautista-AgutWhat a bumper of a start to the tennis season. With massive wins in men’s and women’s tennis. An average $100 bet just for last week on all suggested h2h and totals bets would have netted you a profit of $3,275. That’s pretty amazing for only $100 outlays.
For the men, it has made a staggering 31% ROI over 50 bets this week, with some of the big wins including Roberto Bautista-Agut (odds of 9.50) and Daniel Brands (3.97) amongst others. Totals has started well with 14% ROI made from 16 bets, whilst betting on the challengers and qualifiers has netted 22% ROI.

Women’s tennis has also started well. It was going even better except for the last couple of days. H2h is up a marginal 2% ROI, whilst totals are doing well as per normal with 21 bets at 14.4% ROI, much like last year. But nice wins have come from the qualifiers, with 13 wins from 17 bets making up 42.7% ROI.

As I said in the previous article, the early weeks are often the best, but it is a long season that has only just started, so make sure you jump on board.

To view the tennis betting histories or check out the prices click here.

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Sportpunter tennis 2013

maria-sharapova-wallpaper-tennisThe 2013 tennis season is shortly upon us with official tournaments starting in just 2 days time. Already however we have some matches being playing in the Middle East as well as the Hopman cup due to start tomorrow in Perth.

The sportpunter tennis model has been one of the longest running models that we have. We have a betting history going back to 2003 and the overall record since then has been a tidy 4.6% ROI for men and 3.6% ROI for women. In particular, the men’s predictions dominated the first few weeks on the Australian tour so make sure you don’t miss the boat there.

Last year we introduced totals betting, and followers would not have been disappointed. Men made a small but useful 1.9% ROI whilst women’s betting made a very nice 6.9% ROI from over 600 bets. Also with challenger and qualifying matches often attracting bookmakers odds we were releasing and recording bets suggested on these for the first time this year. Men’s made 3.4% ROI from 666 bets, whilst women’s made 4.8% ROI from just over 300 bets.

All betting histories are on the sportpunter tennis webpage here: http://www.sportpunter.com/sports/tennis/

Predictions are given out on average 1 hour before the first match of the day, so there is ample time to get your bets on.

Subscriptions are now open for 2013, and full details are shown given the link above.

And best of luck next year betting on the tennis!

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Merry Christmas All

merry-christmas-2Just a short message to wish everyone a very merry Christmas.

Looking forward already to 2013! Enjoy the day guys!

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NBA: The LA Lakers are my favourite team

When the Los Angeles Lakers went zero wins and 8 losses in the pre season of 2012-13 few people took notice. The fact that their average losing amount was by 15.3 points didn’t have much effect on funs and the public. The Lakers would get good again, after all pre season means nothing right? No other team this century has had a worse pre season record, but it didn’t matter. Kobe Bryant will save the day when the real stuff starts.

But at we all know, it wasn’t quite that simple. A sacked coach, and still today people believe that they will eventually come good. Maybe they will, but either way they have been a godsend for Sportpunter NBA betters who are constantly betting against them to win.

So far this year we’ve bet against the Lakers 22 times (that’s every single match) for 13 wins. Not bad at 59%, but when you consider that the average price that we have had against them is 3.41, (including a win on Orlando at odds of 11!) Sportpunter clients must be licking their lips. Steve from independent betting blog Daily25.com is. Says Steve:

“what a season so far. This week saw another $2,500 profit for totals and an amazing $5,000 profit for the H2H’s. Pretty much backing against the lakers and heat have produced that profit.”

And he’s not far wrong. As shown on his website, Steve’s made over $18,000 at over 12% ROI in a couple of years betting the NBA. And the official results at the sportpunter betting history for this season to date is really quite spectacular 15.2% ROI betting h2h, 3.9% ROI betting the line and 6.0% ROI profit betting the totals.  It’s been a very good year. Keeping in mind that h2h, totals and line betting all made profits in the previous two years beforehand as well, and you might well say that we are onto a good thing.

So how have we gone betting against the Lakers? Our official results show $7,183 bet for $6089 profit, or 85% ROI. I love the Lakers, they are now my favourite team.

Check out the free NBA picks every day at http://www.sportpunter.com/sports/basketball/nba/

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Soccer totals analysis by league and overlay

For those of you who have not known, soccer totals betting has gone through the roof of late. This season to date, we have made 4.4% ROI from over 3,500 bets, and the past month has been even better. What makes the soccer totals model so good is the vast amount of games from different leagues. Punters can pick and choose what leagues they want to bet on. Perhaps follow the most successful or the leagues that they know or watch.

Even better, is that the model is free. Completely free of charge. So make sure you give it a good look.

Shown below is the break up of how each individual league has gone, and whilst it is only a small sample size per league, there are a few things to point out. Coming up the top of the list are some of the smaller leagues; Paraguay, Bosnia, Ukraine and Lithuania, whilst down the bottom it shows that Norway Tippeligaen has been terrible, followed by Estonia, Azerbaijan and Switzerland.

As far as the big leagues go, EPL has made 1.7% from 86 bets, France Ligue 1 has made 2.1% from 22 bets, whilst German Bundesliga has made a handy 11.9% ROI from 60 bets. The top Spanish league has performed well making 31% from a small sample of 17 bets, whilst Italy Serie A has made 22% from 32 bets.

An analysis of minimum overlays, suggest that a 10% minimum might be better than the standard 5% as shown by the table below.

Either way, things are looking good for the free soccer totals model, so why not join on board.

Min.Overlay#Bets#Wins%Wins$Bet$Profit%ROI
0.050.1165078147.3% $127,390.71 -$1,469.72 -1.2%
0.10.1598450251.0% $124,989.26 $8,786.90 7.0%
0.150.246622949.1% $82,124.15 $3,959.42 4.8%
0.20.2521310247.9% $49,172.81 $1,035.44 2.1%
0.250.351628451.9% $48,189.28 $5,774.93 12.0%
0.350.5572543.9% $23,360.42 -$176.66-0.8%
0.50.7512866.7% $6,672.89 $2,183.58 32.7%
35441731 $461,899.52 $20,093.89 4.4%

League#Bets#Wins%Wins$Bet$Profit%ROI
3534172949% $459,646.52 $20,228.56 4%
Algeria 1. Division00$-$-
Argentina Apertura221777% $3,080.69 $1,252.82 41%
Australia Hyundai A-League612948% $6,393.24 $7.100%
Austria ADEG Erste Liga14643% $1,665.67 -$80.77-5%
Austria tipp3-Bundesliga23939% $2,537.92 -$616.73-24%
Azerbaijan Premier League612744% $8,827.73 -$1,154.97 -13%
Belarus Premier Division251560% $4,019.13 $806.3820%
Belgium EXQI League211571% $2,551.59 $724.8828%
Belgium Jupiler League522956% $4,569.95 $749.0916%
Bolivia Apertura653148% $7,521.80 -$273.27-4%
Bosnia-Herzegovina Premier Leag462861% $7,505.38 $2,336.49 31%
Brazil Serie A8450% $1,569.70 $52.993%
Brazil Serie B763039% $8,520.61 -$518.56-6%
Bulgaria A Grupa693551% $6,790.06 $640.429%
Chile Apertura231461% $3,605.58 $750.8621%
China Super League452862% $4,384.16 $1,040.92 24%
Colombia Liga Postobón Apertura462248% $7,820.67 $1,035.15 13%
Costa Rica Apertura623353% $7,657.40 $64.231%
Croatia 1. Division452044% $4,417.95 -$1.140%
Cyprus 1. Division341441% $4,855.21 -$812.84-17%
Czech Republic Druha League381847% $8,278.72 -$361.52-4%
Czech Republic Gambrinus League17847% $1,812.47 -$224.52-12%
Denmark 1. Division442455% $5,721.65 $1,006.67 18%
Denmark 2. Division261142% $2,578.41 $312.8412%
Denmark Superligaen19737% $1,198.78 $62.035%
Ecuador Apertura492041% $6,083.66 -$877.59-14%
England Blue Square Premier492857% $6,986.70 -$100.33-1%
England Championship974748% $11,087.43 $996.169%
England League 11145145% $12,467.56 -$115.34-1%
England League 2844655% $7,393.96 $682.299%
England Premier League863945% $8,426.89 $147.162%
Estonia Meistriliiga923538% $11,775.79 -$1,160.08 -10%
Finland Veikkausliga211048% $4,226.89 $213.815%
Finland Ykkonen552444% $8,725.53 -$497.43-6%
France Ligue 1221255% $4,404.80 $93.162%
France Ligue 2702941% $7,271.22 $376.305%
France National361953% $3,291.80 $569.7417%
Germany 1. Bundesliga603050% $6,824.30 $812.3112%
Germany 2. Bundesliga934245% $12,049.34 $1,162.74 10%
Germany 3. Liga522548% $4,993.46 $368.127%
Greece Football League532751% $4,762.64 $519.8311%
Greece Super League14857% $1,833.66 $406.9022%
Guatemala Apertura501632% $5,521.21 -$896.31-16%
Honduras Apertura341750% $4,540.19 $205.275%
Hungary NB1251248% $8,941.49 -$1.950%
Iceland PEPSI deildin5240%$627.75-$45.98-7%
Iran 1. Division12650% $1,237.62 $68.286%
Ireland 1. Division402255% $4,249.84 $171.294%
Ireland Airtricity League211571% $2,956.77 $1,692.07 57%
Israel Leumit League401948% $7,362.84 -$527.36-7%
Israel Ligat-Al4250%$432.68$78.9918%
Italy Serie A322063% $3,511.88 $788.3322%
Italy Serie B753344% $9,759.90 -$639.86-7%
Japan J. League803848% $8,795.72 $692.218%
Japan J. League 2432251% $5,266.93 $609.7012%
Latvia Virsliga502040% $4,108.67 -$530.91-13%
Lithuania A Lyga371951% $6,615.36 $1,909.97 29%
Macedonia Prva Liga13862% $1,948.87 $415.9321%
Mexico Primera Division Apertur241250% $5,604.55 $754.8413%
Moldova National Division15747% $1,651.09 -$57.07-3%
Montenegro 1. Division00$-$-
Morocco Botola15853% $2,883.86 -$145.37-5%
Netherlands Eredivisie5240%$427.65-$130.81-31%
Netherlands Jupiler League501938% $6,231.68 -$474.57-8%
Norway 1. Division703651% $7,630.02 $61.031%
Norway Tippeligaen712637% $19,711.92 -$4,179.14 -21%
Paraguay Apertura683856% $13,468.71 $3,259.29 24%
Peru Primera División13969% $1,305.54 $448.4634%
Poland 1. Division382155% $3,754.46 $371.2610%
Poland Ekstraklasa241667% $2,826.53 $1,087.55 38%
Portugal Liga Orangina17847% $1,778.32 $54.163%
Portugal Liga ZON Sagres6117%$510.82-$252.61-49%
Romania Liga I231252% $2,159.08 $557.9026%
Russia Premier League472757% $5,888.87 $407.727%
Scotland 1. Division392462% $5,813.01 $1,086.96 19%
Scotland 3. Division8338% $1,132.46 -$13.62-1%
Scotland Premier League5240% $1,326.77 -$205.66-16%
Serbia Super Liga452351% $5,120.62 $131.753%
Singapore S.League14643% $2,825.76 -$151.85-5%
Slovakia Corgon Liga291759% $5,497.04 $1,876.53 34%
Slovenia PrvaLiga11655% $1,342.24 $160.1912%
South Africa 1. Division14536% $1,765.53 -$369.47-21%
South Korea K. League15533% $1,808.95 -$753.97-42%
Spain LIGA Adelante23939% $3,011.09 -$593.62-20%
Spain LIGA BBVA171165% $2,077.77 $641.9531%
Sweden Allsvenskan692942% $7,952.33 -$909.82-11%
Sweden Superettan382155% $4,960.37 $1,206.27 24%
Switzerland Challenge League351131% $4,047.60 -$998.86-25%
Switzerland Super League8675%$835.30$546.0765%
Thailand Premier League10220% $1,378.41 -$987.36-72%
Tunisia 1. Division13969% $1,977.77 $478.4024%
Turkey 1. Lig11100%$304.41$228.3175%
Turkey Superlig6350%$506.47-$46.69-9%
Ukraine Premier League683957% $9,949.50 $2,151.12 22%
Uruguay11655% $1,475.92 $352.5724%
USA Major League Soccer6467%$672.84-$70.57-10%
Venezuela Primera Division5240%$434.57$9.412%
Wales Premier Division8675% $1,228.87 $311.9125%

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