So should we disregard a 15 -
game sample of head - to - head results and conclude that because the East was 5 - 0 in the bowls and the West was 2 - 5, the East was better?
Not exact matches
I did a
sample run
of this recipe — you know, got ta taste test before the big
game.
At the Hokitika's 10th annual Wildfoods Festival in New Zealand, courageous tasters were
game for
sampling all kinds
of exotic fare.
Wednesday was CSA (Community Supported Agriculture) day which meant a mini-market,
games for the kids, fresh local seafood, cheese, and a
sampling of delicious food made with produce from the farm.
I saw 20 min highlights
of like 4 Nice matches last year and frankly can't remember another about Seri other than hearing his name, so me must not have done anything particular special, horrid, or noteworthy in that small
sample of games (or maybe I got distracted by Balotelli antics or something).
On a typical NFL football
game, you can expect over 20,000 bets to be placed at each sportsbook, resulting in a
sampling size
of well over 100,000 bets.
Large
sample sizes allow you to more accurately observe advantages that you may hold over the sportsbooks, yet it never ceases to amaze how much stock bettors will place in the performance
of a team over the past five
games.
From that stretch
of games»
sample size, the one constant was McLeod whiffing and definitely not playing like a veteran safety
The list
of teams Iowa scored more points than in that data
sample includes the scorching 2008 Oklahoma Sooners, who scored an FBS - record 702 points that year before only getting 14 in a loss to Florida in the title
game.
A
sample size
of just a handful
of games can only tell us so much, but let's take what we can.
If you want a
sample of the oh - fuck - you in a sports context, watch a national broadcast
of any Warriors
game.
(Small
Sample Size Alert) Mahomes only threw 4/35
of his passes to TEs in the Denver
game compared to 6/25 to running backs and 25/35 to WRs.
There was just no way to prove that he was the best hitter in the postseason, too, not without another chance at this mystical, teeny
sample of high - stress, meaningful
games.
From what I've seen
of Hayden (3 or 4
games so a small
sample) he is very good positionally but clearly hasn't kicked on this year if Bruce didn't trust him to start with the CB injuries that Hull has.
Cold weather, small
sample — but we had 1 guy north
of 200 to start the
game.
can you just imagine a top level club being so desperate that they would hire Wenger to manage their club... I guarantee that there is no truth to this story except the fact that he might have considered leaving Arsenal for a split second then he proceeded to lock himself in Kroenke's closet and threatened to harm himself with the plastic fork he always carries in his breast pocket, just in case there are free
samples at the grocery store, until he was promised 2 more years... at which point they embraced one another in such an awkward fashion that Kroenke's mustache got stuck in Wenger's coat zipper... two hours or so later, once they were finally separated, they retired to Kroenke's private lounge where they watched his favourite movie «Major League» then played a quick
game of Monopoly
Also back to the
sample size
of 13k
games with.1 % roi.
If we look at thetiny
sample of sucky teams who've failed to cover in this many
games in a row, it would appear that now would be a good time to bet on Denver.
In the first three and last three
games of the regular season — a
sample that includes a win at Ohio State and a neutral - field win over TCU — OU allowed a paltry 15 points per
game.
We caution that, although these results are based on thousands
of spring training
games, this is a smaller
sample size relative to our complete baseball database (which now covers almost 20,000 data points over eight seasons).
In full disclosure, there are still nine days worth
of MLB
games to be played this April that will directly influence results and, even after April is completed, analyzing fewer than two month's worth
of results is hardly a
sample size large enough to draw statistically significant conclusions.
The graph by temperature is interesting although it's still a small
sample size
of games for a relatively small difference in winning percentage.
Vert small
sample size but I was very impressed with Campbell today and truly believe it is his time to get a run
of games.
I concede that three
games are a very small
sample size to make definitive prognostications about our beloved Atsenal this season, however its very difficult from my vantage point to discredit the overall sentiments
of the original post.
Let's get it over with and hope that the 1st 3
games will be a small
sample of something that will not be consistent over the course
of the season... Like Ramsey said let's see in 10
games or so and see where they are not only in the table but also the way they play... disappointed in the way we manage the transfer window but this team can do great things let's see how far they go & how much magic can Wenger work with the belief he has in the players enough not to buy somebody except Cech...
In that 941
game sample, the majority
of wagers were placed on the favorite 932 (99.0 %) times, at least 70 %
of runline wagers were placed on the favorite 892 (94.8 %) times, and at least 80 %
of runline wagers were placed on the favorite 750 (79.7 %) times.
If you're a more patient bettor, filtering the system to < 23 %
of public bets has a
sample of just 25
games but with a record
of 14 - 11, has produced +17.85 units won and an astounding ROI
of +71.4 %.
Reverse line movement at the 40 % threshold produced a 10.4 % return on investment (ROI) with a significant
sample size
of 178
games.
With the usual caveats
of small
sample sizes (nobody with more than 19
games, only 7 teams to compare.
With a
sample size
of over 1,200
games, consistent year - to - year results (with the exception
of last season's -2.25 unit loss), and broad ranges for our data, this system fits all three traits for a winning betting system.
They've actually done quite well in this situation over the tiny
sample size, going 7 - 3 ATS, but I wouldn't factor in a handful
of covers from a decade ago into this week's
game.
If a player does well for 8
games vs another who does well for 80 you'd side with the guy with 80 good
games because it's speculative to suggest a small
sample is going to be the «norm»
of the player with less appearances.
Our system now has a significant
sample size
of nearly 500
games and solid returns but, like a spoiled child on Christmas morning, I am never satisfied.
Unfortunately our
sample size is too small to extract much from the top trends during the Final Four; however, we do have a number
of sharp money indicators for Saturday's
games.
It's a small
sample size but teams getting less than 40 %
of bets in National Title
games have gone 5 - 1 ATS (dogs 4 - 0 ATS, favorites 1 - 1 ATS).
Obviously one
game is a small
sample size and all sorts
of disasters could await on the horizon but there is hope that us Suns fans could have found respite from the harsh desert
of suckitude and can finally enjoy a midnight at the oasis.
I literally said that this is applicable to smaller
sample sizes, like individual
games, groups
of games, or a single season.
That net rating
of 33.7 is better than any other lineup the Bulls have deployed this season, though you have to account for the small
sample size
of just 44 minutes played together over just four
games this season.
We understand this is a small
sample size and shouldn't be blindly followed, but it's reasonable to theorize that since Thanksgiving Day
games provide the shortest week
of preparation and
game planning all season, they force teams to rely more on talent alone, giving the advantage to the better (or favored) team.
With a
sample size
of over 4,000
games, I found that the under had produced a 3.8 % when both pitchers had a walk rate
of 7.0 % or lower.
Although it's a small
sample size, the line moved with the money in 28
of those 43
games (65.12 %).
Arguing about strength
of schedule the wrong way means limiting the
sample even further and acting like we can't get meaning out
of every play
of every
game.
Despite our
sample size dropping from 182
games to 75
games, the number
of units won actually increases from +14.83 to +17.6 and the return on investment sky - rockets from 8.2 % to 23.5 %.
Small
sample size but only about 13 %
of games have been decided by 3 so far this year.
His carries in the last couple
of games last year seemed to this observer as much improved; however, it wasn't a wide
sample.
Do we make too much
of the tiny
sample size that is a national championship
game, especially since those
games are assembled in part by generations worth
of human assumptions and months worth
of confirmed bias?
I concede the
sample size is one
game but both young Gunners were, along with DO the best players sporting red and white on the pitch all evening and should feature the rest
of the EPL season.
This basic conference tournament betting system has won at a 53.1 % rate with a
sample size
of over 2,100
games which shows a clear - cut edge.
This essentially eliminated all
of the first round
games and left us with a
sample size
of nearly 550
games.
With this variety
of both sharp and square books, our public betting trends offer a representative
sample of how every
game is being bet.