Showing posts with label Accuracy. Show all posts
Showing posts with label Accuracy. Show all posts

Wednesday, November 12, 2008

Week 10: Results

Week 10 was disappointing in terms of ATS and O/U, but NFLSim picked 11-3 straight up, so it wasn't all bad. The 50-59% games really got slammed, but if you read the Midseason Progressive Results post, you wouldn't have bet on them anyway. After this week, 60+% ATS and O/U picks are still 61.3 and 66.7% on the season, respectively.

I just found out about another NFL simulator over at www.whatifsports.com, a division of Fox Sports. Actually, they've got a pretty cool setup. They let you simulate games using teams from different seasons. I can't find their pick record, but someone posted that they are 69.5% straight up and 53.7% ATS on the season. No confidence numbers were available. On the season they beat AccuScore and NFLSim by a few % points, but when picks are made based on confidence, NFLSim has a substantial edge.


Straight % Wins Games Win %

50-59 6 7 85.7%

60-69 2 4 50.0%

70-79 3 3 100.0%

80-89 0 0 ---

90-100 0 0 ---

Total 11 14 78.6%





Spread % Wins Games Win %

50-59 1 9 11.1%

60-69 1 2 50.0%

70-79 1 3 33.3%

80-89 0 0 ---

90-100 0 0 ---

Total 3 14 21.4%





Total
Wins Games Win %

50-59 4 12 33.3%

60-69 1 2 50.0%

70-79 0 0 ---

80-89 0 0 ---

90-100 0 0 ---

Total 5 14 35.7%

Wednesday, October 29, 2008

NBA Black Box

With the start of the NBA season on Tuesday, my life just got a little busier, though I can't wait to see if I can repeat the results of last season. For those who haven't checked it out yet, NBA Black Box is the little sister of NFL Black Box (NFL Black Box is the big brother). I began to write a possession-by-possession NBA simulation, but while I worked, I got sidetracked by a few equations I had come up with. NBA Black Box is not a simulation, it is a set of algorithms that work together to pick the straight up and ATS winners. I've given up on the elusive O/U; for some reason, it just doesn't work. There are no plans to finish the simulation - the algorithms are doing just fine.

Here are the results from when I started tracking, on March 1. They exceed my wildest expectation.

SINCE MARCH 1

WINS


PLAYOFFS
WINS


Correct Games Win%Correct
Games
Win %
279
353
79.0%
36
48
75.0%
SPREAD

SPREAD


Correct Games Win%Correct
Games
Win%
242
411
58.9%
32
54
59.3%

Those numbers are correct, check out NBA Black Box to verify. From March 1 to the end of the season, NBA Black Box was 279-74 (79.0%) picking the winner and 242-169 (58.9%) ATS. Similar results for the playoffs. From March 1, using a unit of 100, NBA Black Box returned 5610 units, for a ROI of 12.4%. And that's only after 2 months.

I'm going to track the progress on my own initially (not going to post the results), until I see some consistent performance. It takes time for reliable stats to build up. I have no idea how long that will be. It could be a couple of weeks or it could be a couple of months. The bottom line is I don't want to put unreliable picks up - I don't want people to lose money as a result of bad picks and I don't want to ruin my reputation for making quality predictions.

I'll keep you folks updated as the season continues.

Jonathan

Saturday, October 25, 2008

Week 8: Sim Stats

Week 8 YDS/PASS YDS/PLAY YDS/PT QB RATING
Arizona Cardinals 7.06 4.96 15.17 92.37
Atlanta Falcons 6.74 4.80 16.17 83.52
Baltimore Ravens 7.03 5.15 14.10 87.59
Buffalo Bills 8.36 5.15 14.93 105.65
Carolina Panthers 8.00 5.37 12.95 102.12
Chicago Bears



Cincinnati Bengals 7.00 4.76 17.17 90.33
Cleveland Browns 5.81 4.45 13.43 78.52
Dallas Cowboys 6.05 4.69 16.03 71.09
Denver Broncos



Detroit Lions 6.41 4.90 14.23 81.40
Green Bay Packers



Houston Texans 6.99 5.50 11.52 95.98
Indianapolis Colts 6.27 4.37 16.69 76.58
Jacksonville Jaguars 7.33 5.33 13.90 92.84
Kansas City Chiefs 5.83 4.28 13.98 79.56
Miami Dolphins 7.40 5.34 13.38 99.93
Minnesota Vikings



New England Patriots 8.07 5.77 14.12 103.31
New Orleans Saints 8.70 6.08 15.39 107.64
New York Giants 6.47 4.81 13.82 89.33
New York Jets 7.92 6.26 14.17 97.06
Oakland Raiders 5.71 4.13 15.12 73.03
Philadelphia Eagles 7.14 5.48 11.15 99.34
Pittsburgh Steelers 7.51 4.91 12.27 98.24
San Diego Chargers 7.21 4.93 13.91 91.26
San Francisco 49ers 8.51 5.57 13.33 102.46
Seattle Seahawks 5.59 4.54 13.88 72.59
St. Louis Rams 7.13 5.13 15.31 90.66
Tampa Bay Buccaneers 6.25 4.52 12.95 89.82
Tennessee Titans 7.04 5.28 12.31 92.63
Washington Redskins 7.86 5.43 12.84 110.53





Simulated Average 7.05 5.07 14.08 91.26

Tuesday, September 23, 2008

Week 3: Results

We had a great week 3, 13-3 (81.3%) picking the winner. The 3 games lost were: CHI in OT (after a penalty that literally took the victory from the Bears), IND (even the Colts aren't choke-proof), and finally NE (WTF?). Didn't do so well against the spread, so I'm going to stop posting against the spread for now. As the weeks go by, the simulations will be more accurate.

Straight % Wins Games Win %

50-59 3 4 75.0%

60-69 3 3 100.0%

70-79 4 5 80.0%

80-89 2 2 100.0%

90-100 1 2 50.0%

Total 13 16 81.3%


KC at ATL -5.5
Winner: ATL, 64%
Spread: ATL -5.5, 52%

OAK at BUF -9.5
Winner: BUF, 79%
Spread: BUF -9.5, 55%

TB at CHI -3
Winner: CHI, 55%
Spread: EVEN

CAR at MIN -3
Winner: MIN, 63%
Spread: MIN -3, 54%

MIA at NE -12.5
Winner: NE, 90%
Spread: NE -12.5, 66%

CIN at NYG -13.5
Winner: NYG, 84%
Spread: NYG -13.5, 51%

HOU at TEN -5
Winner: TEN, 87%
Spread: TEN -5, 77%

ARI at WAS -3
Winner: WAS, 51%
Spread: ARI +3, 61%

DET at SF -4
Winner: SF, 79%
Spread: SF -4, 65%

STL at SEA -9.5
Winner: SEA, 71%
Spread: STL +9.5, 58%

NO at DEN -5.5
Winner: DEN, 70%
Spread: DEN -5.5, 57%

PIT at PHI -3.5
Winner: PHI, 62%
Spread: EVEN

JAX at IND -5
Winner: IND, 71%
Spread: IND -5, 55%

CLE at BAL -2.5
Winner: BAL, 97%
Spread: BAL -2.5, 96%

DAL -3 at GB
Winner: DAL, 54%
Spread: GB +3, 59%

NYJ at SD -9
Winner: SD, 53%
Spread: NYJ +9, 75%

Monday, February 4, 2008

2007 Results, Analysis, and Betting Applications

Well, since starting back in week 12, I'd say I've gotten some pretty good results. Now before everyone starts yelling at me, I'll preempt it by saying that yes, I know it was only a quarter of the season, and yes, I know that for the spread and o/u it was only a few games. At this point the results may be statistically inconclusive, but it's a start. I worked with what was available- the program was 'completed' in time for week 12. Up until the playoffs, changes were being made to achieve a greater degree of realism. Those changes in no way affected either team exclusively, they affected both teams in exactly the same way.

The results for the playoffs and Super Bowl:

Wins: 4-7 36.4%
Spread: 5-2 71.4%
O/U: 6-1 85.7%

The Law of Any Given Sunday proved too much for me. Though you can't argue with a spread/ o/u combined win percentage of 78.6%


The results for the 2007 regular season, weeks 12 through 16:

Straight-up Wins
% Range Games Wins Win %

50-59 34 21 61.8%

60-69 29 19 65.5%

70-79 14 11 78.6%

80-89 3 3 100.0%

90-100 0 0 0.0%

Total 80 54 67.5%


This is a graph of the above table. It shows the astonishing correlation between the predicted percentages and the real win percentages. The x-axis shows the different % Ranges- like in the tables. The y-axis is the win percentage. So the predicted range 50-59% has a real win percentage of 61.8%. The straight, dark line shows what would happen if all of the teams won exactly as they were supposed to, according to my predicted percentage. Lets say I pick 100 teams to win, and they all fall in 50-59. If my system was perfect, about 55% of those teams would actually win. Since the green line (what actually happened) is so similar to the black line, we're able to conservatively assume that the predicted percentage to win is the same as the real percentage of a straight up win.


Now that we know the probability of a team winning, all of a sudden the moneyline completely opens up. Now we can look at what Vegas is offering and immediately know if it's a statistically favorable or unfavorable bet.

If you have $100 and you make 100 bets at 50% each, and each bets pays out 2:1, then after your 100 bets, you've won 50 of them. Since they pay out 2:1, you've made it back to $100, breaking even. Likewise, if you have $100 and you make 100 bets with a probability of 20%, to break even, each bet must pay 5:1. If each bet pays 4:1, you've won 20 bets, but at 4:1, you only make it back to $80, so you've lost money. At 6:1 you get up to $120. Break-even odds are neutral- in the long run you don't make money, and you don't lose money. We only make bets that are above break-even.

Let's look at the Super Bowl. The Giants were 11.5 dogs. Vegas was offering to pay out 4.25 to 1. The probability that the Giants would win- as calculated by me- was 33%. If you win 33% of your bets, each bet must pay out 3.03:1 (Break-even payout = 1/percentage in decimal form; 1/.33 = 3.03). So, since you need at least 3.03:1 odds to make an intelligent bet, you note that Vegas wants to give you 4.25. 4.25 is bigger than 3.03 so you bet on the Giants to win. And if you had bet on the Giants to win, you'd be one happy camper right now.

Note: If you bet in this manner using a reliable source of percentages, sensible money management, and patience, you'll be successful in the long run...with the moneyline! And it doesn't hurt when you're picking 68% of the games correctly... Of course this also works with the spread and o/u.