Super Bowl Recap (2/7/12)

Tuesday, February 7, 4:00 pm ET
It is very important to us to be transparent and honest about our picks. I always try to recap each football weekend. With the addition of the TrendFinder database, which tracks all performance for all of our information (against published lines in every sport), the blog will focus more on topics beyond performance. Our performance is now as transparent as it can possibly get. We will still do our best to note areas of strength, while acknowledging areas of weakness - honing in on what this means to subscribers as it applies and touching on other, "big picture" topics in the process.

This blog will discuss the launch of the NHL Predictalator Picks (free for the rest of the season) and review the NFL Playoffs, including Super Bowl Live and Props. This will likely be the last of the "shotgun" blogs that cover multiple topics. In future days and weeks, I intend to publish blogs that focus on one topic only, meaning that we may have several in some weeks (and potentially none in others).

As a reminder, at midnight ET each day, we make all of our previous day's subscriber content available for free for registered users. Performance is also tracked in the TrendFinder Database (updated every morning from the previous day). We're never going to hide anything. So even though we have to swap out articles in the archive to focus on new ones, articles never go away. Just make sure to use the correct week and date in the URL - or ask us for the link...

NFL Playoffs Recap:
With an accurate prediction of an outright win by the New York Giants in Super Bowl XLVI, the Predictalator extended its streak of Super Bowl wins to an undefeated three against-the-spread Super Bowl victories and a new streak (after starting 13-0 ATS in NFL Playoffs) of five straight accurate NFL Playoff ATS predictions. For this postseason, ATS picks finished 8-3 (73%), and all playable picks are 13-7 (65% ATS and O/U). Since we launched PredictionMachine.com the week before Super Bowl XLIV, our NFL Playoff picks are 20-3 ATS (87%), with all three losses coming in games with "weak" opinions ("normal" or better ATS opinions are 12-0). Utilizing our (relatively conservative) play value recommendations and the published confidence, a normal $50 player would be up almost exactly $1500 in just 23 games (essentially doubling the original bankroll). Fortunately, even better aggregate results could be found by playing "Paul's Picks" or all playable NFL picks over the course of the 2011-12 season, but there is definitely something to be said about this specific part of the season. The formula that includes full season's worth of player and team data, easy access to injury information and the influx of wagers from the exploitable and bias public has historically led to the best performances by this type of technology (as is also the case during the NCAA tournament). Based on this history and the confidence that our subscribers have in our technology this time of the year, one would expect that these profit expectations represent the low/conservative end of our actual users' experiences.

Personally, I am entering the final week of one of my favorite three week stretches on the calendar. From preparing the Super Bowl content, including the fun prop stuff (which fortunately did well), and our annual company meetings to prepare for the rest of year two weeks ago, to the chaos of Super Bowl week (this year spent in Indianapolis - which embraced the Super Bowl more than I have ever seen or could have expected) and the game itself, and then to juxtapose that against a week like this where I/we can breathe a little and focus on looking forward and improving every part of the site. We have already received some helpful feedback on several items including the live, in-game running Super Bowl and props content and would love to hear more about specific ways to improve the site (unless we are consistently hitting well above our published confidence "get better at picking games" is always tops on our list, but we could still benefit from situational feedback from experiences using our information or from information found in the TrendFinder database). As we devote some time to review all of our features in an effort, as is always our main focus, improve/optimize, the user experience on the site, please do not hesitate to contact us with feedback.

Super Bowl Live:
Yeah, this is one of the coolest things that I have been a part of. If you have not seen it yet, check out the Super Bowl Live chart and projections from Sunday's game. This was updating in real-time after every play (simulating the rest of the game 50,000 times to generate live win probabilities and average projected scores). You can read more about this in last week's blog.

While I have already tweeted about some of the notable percentage swings from the game and have collaborated on a Wall Street Journal article, the most notable piece of information from this analysis is that, based on feedback from multiple sources utilizing this information at sports books (operated by Cantor Gaming) that allow live, in-game running wagers, the Patriots never had value relative to the price on the money-line in the Super Bowl. Even though there is a stretch throughout the majority of the third quarter where we projected the Patriots to win more often than not, it was never with enough confidence to justify playing. That being said, the money-line Play Value Calculator recommendation was not on the Giants for all 60 minutes, often projecting a "no pick," and this conversation could be very different had a Patriot caught the Hail Mary at the end of the game, but it is great to note the significant value that we found in the ultimate winning side throughout the game and at halftime (the halftime line was New England -2, while we had the Giants out-scoring the Patriots by 0.5 points in the second half).

Here are some other interesting notes from simulating the Super Bowl live:

  • Had Ahmad Bradshaw taken a knee at the 1 yard line instead of falling into the end zone, it would have increased the Giants' win probability for the game by 2.6% (98.1% as opposed to 95.5%).
  • On the flip side to that, had the Patriots decided to let the Giants score on first and goal (the previous play) instead of calling a timeout and then doing that on second down, the extra time and timeout would have increased New England's chances of winning the game from the 4.5% to 10.3% - more than doubling their chances to win.
  • Our projected success rate of the final Hail Mary was 15.1%.
  • While the New England Patriots regressed from being more than 80% likely to win the game with 5:15 left to slight underdogs with 3:37 remaining and to having less than a 20% chance to win at the two minute warning, no individual play (in the entire game) changed the win probability greater than 20% on its own.
  • Mario Manningham's 38 yard reception to open the Giants' final drive, though, was the most important play of the game. Not only did it cause a net 15%+ change in win probability, the projected most likely winner changed (from New England to New York) for the final time on this play.
  • The five-yard penalty for having 12 men on the field with 17 seconds left on the Patriots' final drive resulted in a net 0.7% (or 1 in 143) gain in win probability for the Patriots. In other words, the time off the clock meant almost exactly the same as the five yards.

Our current plan is to publish live results of at least one college basketball game each day during the NCAA tournament, including both Final Four games and the National Championship, with more marquee games to come in other sports going forward.

Super Bowl Props:
While our most notable strong prop opinions - Eli Manning UNDER rush yards (3.5), Tom Brady UNDER pass TDs (2.5), Lawrence Tynes OVER FGM (1.5), Chad Ochocinco OVER receptions (0.5) and receiving yards (9.5) and Longest TD UNDER (49.5) - were all successful, some very unfortunate circumstances plagued the others. We essentially liked the OVER in every prop associated with the Giants' tight ends. Neither completed the game. Travis Beckum tore his ACL on the second play of the Giants' third drive of the game. Jake Ballard barely made it to the fourth quarter. There is nothing we can do about in-game injuries like that. The Giants were forced to run a 2-0 formation with two running backs and three receivers on almost every play in the fourth quarter. They had not practiced that formation in more than a year. While it worked out well for the Giants, those injuries really hurt our overall prop performance. In fact, ignoring all props related to tight ends (on the field), all playable props went 33-26 (56%) and +$410 for a normal $50 player. I know that it does not work like that. Aaron Hernandez reached around our projected yards, but never as a running back. And Rob Gronkowski was clearly more banged-up than we had expected. Including the tight ends, all playable prop picks were 34-33 (51%) and not profitable.

This is a classic situation in this business where some people won and some people lost with the information. We hit four of our top five value plays (just losing the play on whether there would be a safety - there were 13 safeties in 256 games all season, yet there has been a safety in three Giants' Super Bowls?), yet hit just five of the top ten. Somehow, the Giants scored 21 points, yet had just two TDs and did not get more than seven points out of their kicker, Lawrence Tynes. Travis Beckum and Aaron Hernandez accounted for the other losses in that group. Of the fun stuff, playable off-field recommendations went 5-2 and +$101 (assuming Kelly Clarkson national anthem paid OVER 1:34, which it appears was the case in more offshore books than not - this was only a $9 wager for a $50 player either way).

NHL Picks
Straight-up/money-line, over/under and puck-line projections for every regular season NHL game will launch next Monday, February 13 for free to all registered users who subscribe to the free picks in the Shop. In testing, we have been able to find consistent value in O/U for hockey, while money- line plays have been barely profitable and puck-line plays, like run-lines in MLB, provide stronger value than the money-line, yet are highly volatile from day to day. NHL teams are already available in the Customizable Predictalator, though they will not be updated for injuries, starting goaltenders, etc. until the picks start next Monday. Due to the unique nature of hockey, which focuses on value through the money-line like baseball, we will not be adding NHL picks to the Play Analyzer, TrendFinder, Team Schedules or League Schedules. This information for money-line sports will be available initially for the start of this baseball season and then for next year's complete hockey season.

Vegas Weekend:
Based on feedback, we have also added a new package option to the Shop that grants access to all information on the site all day Saturday and Sunday every weekend throughout the year.

Blog Topics:
With the football season complete and the TrendFinder handling all performance reporting, I will have far more time to delve deep into money-management, sports analysis and general sports (or non-sports, space-based solar power anyone?) related topics in the blog. I have several topics that I deem important that I intend to get into soon. More importantly, I would love to hear from you. If you have a topic that you would like to see me discuss/breakdown/analyze/ramble on about, please do not hesitate to contact us with your ideas or questions.

NBA ATS Performance by Team:
Actual, real-life ATS, O/U and SU performance by team can be found on each team's schedule page. However, as we continue to leverage the TrendFinder database to find opportunities to improve our engines, we spend a considerable amount of time looking at team-by-team ATS performance of our own picks. While this information is interesting, it is important to note that a) we do our best to "fix" any areas uncovered by this analysis where we believe there may be weaknesses and b) along those lines, we would not recommend blindly picking against our information when teams are involved for which we have not had a strong record this season. In the table below, "Games" represents all games that the team has played that did not result in an ATS push (including games that were not considered "playable" by the Predictalator - that info is still of great interest). "PM ATS Wins" is the number of games involving that team that resulted in an accurate ATS win by the Predictalator this year.

Team Games PM ATS Wins PM ATS%
Philadelphia 76ers 24 18 75%
Los Angeles Lakers 24 17 71%
Washington Wizards 24 16 67%
Minnesota Timberwolves 24 15 63%
Phoenix Suns 23 14 61%
Atlanta Hawks 23 14 61%
Dallas Mavericks 25 15 60%
Houston Rockets 23 13 57%
Boston Celtics 23 13 57%
Milwaukee Bucks 22 12 55%
Cleveland Cavaliers 22 12 55%
Miami Heat 24 13 54%
Sacramento Kings 23 12 52%
Detroit Pistons 25 13 52%
Chicago Bulls 25 13 52%
New Orleans Hornets 24 12 50%
Memphis Grizzlies 24 12 50%
Denver Nuggets 23 11 48%
Toronto Raptors 24 11 46%
San Antonio Spurs 24 11 46%
Charlotte Bobcats 24 11 46%
Indiana Pacers 22 9 41%
Los Angeles Clippers 20 8 40%
Orlando Magic 23 9 39%
Utah Jazz 21 8 38%
New York Knicks 24 9 38%
Portland Trail Blazers 24 8 33%
New Jersey Nets 25 8 32%
Oklahoma City Thunder 22 7 32%
Golden State Warriors 20 6 30%

College Basketball ATS Performance by Team:
Actual, real-life ATS, O/U and SU performance by team can be found on each team's schedule page. However, as we continue to leverage the TrendFinder database to find opportunities to improve our engines, we spend a considerable amount of time looking at team-by-team ATS performance of our own picks. While this information is interesting, it important to note that a) we do our best to "fix" any areas uncovered by this analysis where we believe there may be weaknesses and b) along those lines, we would not recommend blindly picking against our information when teams are involved for which we have not had a strong record this season. In the table below, "Games" represents all games that the team has played that did not result in an ATS push (including games that were not considered "playable" by the Predictalator - that info is still of great interest). "PM ATS Wins" is the number of games involving that team that resulted in an accurate ATS win by the Predictalator this year.

Team Games PM ATS Wins PM ATS%
Stetson Hatters 2 2 100%
Winthrop Eagles 2 2 100%
Coppin State Eagles 2 2 100%
Florida A&M Rattlers 2 2 100%
Maryland-Eastern Shore Hawks 2 2 100%
Bryant Bulldogs 2 2 100%
Texas-Arlington Mavericks 2 2 100%
South Carolina Upstate Spartans 1 1 100%
Presbyterian Blue Hose 1 1 100%
North Carolina A&T Aggies 1 1 100%
Central Connecticut State Blue Devils 1 1 100%
Robert Morris Colonials 1 1 100%
Southeastern Louisiana Lions 1 1 100%
Prairie View A&M Panthers 1 1 100%
Ball State Cardinals 15 12 80%
Manhattan Jaspers 23 18 78%
UTSA Roadrunners 4 3 75%
DePaul Blue Demons 19 14 74%
Kentucky Wildcats 22 16 73%
Providence Friars 18 13 72%
Towson Tigers 21 15 71%
Southern Illinois Salukis 21 15 71%
Louisiana Tech Bulldogs 14 10 71%
UC Davis Aggies 20 14 70%
Niagara Purple Eagles 20 14 70%
Oregon Ducks 20 14 70%
North Dakota State Bison 16 11 69%
St. John's Red Storm 19 13 68%
Memphis Tigers 19 13 68%
Bowling Green Falcons 19 13 68%
Virginia Commonwealth Rams 24 16 67%
Georgia Tech Yellow Jackets 18 12 67%
Colorado Buffaloes 18 12 67%
Harvard Crimson 15 10 67%
Houston Cougars 12 8 67%
Albany Great Danes 3 2 67%
Mercer Bears 3 2 67%
SIU Edwardsville Cougars 3 2 67%
Sam Houston State Bearkats 3 2 67%
Mississippi Valley State Delta Devils 3 2 67%
Indiana State Sycamores 23 15 65%
Georgia State Panthers 20 13 65%
Old Dominion Monarchs 20 13 65%
Duke Blue Devils 22 14 64%
Western Kentucky Hilltoppers 22 14 64%
St. Bonaventure Bonnies 19 12 63%
Xavier Musketeers 19 12 63%
William & Mary Tribe 19 12 63%
Mississippi Rebels 19 12 63%
Marist Red Foxes 16 10 63%
Yale Bulldogs 8 5 63%
Syracuse Orange 21 13 62%
Drexel Dragons 21 13 62%
Northeastern Huskies 21 13 62%
Fairfield Stags 21 13 62%
Western Illinois Leathernecks 13 8 62%
La Salle Explorers 18 11 61%
Rutgers Scarlet Knights 18 11 61%
Montana State Bobcats 18 11 61%
Delaware Fightin Blue Hens 18 11 61%
Oklahoma Sooners 20 12 60%
Drake Bulldogs 20 12 60%
Colorado State Rams 20 12 60%
Oral Roberts Golden Eagles 20 12 60%
Southern Miss Golden Eagles 15 9 60%
Toledo Rockets 15 9 60%
Murray State Racers 15 9 60%
Auburn Tigers 15 9 60%
Monmouth Hawks 5 3 60%
Detroit Titans 22 13 59%
Portland State Vikings 17 10 59%
Northwestern Wildcats 17 10 59%
Cal State Northridge Matadors 17 10 59%
UCF Knights 17 10 59%
Pennsylvania Quakers 17 10 59%
Richmond Spiders 19 11 58%
Miami (FL) Hurricanes 19 11 58%
Southern Methodist Mustangs 19 11 58%
Akron Zips 19 11 58%
Kent State Golden Flashes 19 11 58%
Tennessee-Martin Skyhawks 19 11 58%
Vanderbilt Commodores 19 11 58%
Louisville Cardinals 21 12 57%
Purdue Boilermakers 21 12 57%
Wisconsin Badgers 21 12 57%
Canisius Golden Griffins 21 12 57%
UCLA Bruins 21 12 57%
Georgia Southern Eagles 21 12 57%
Fresno State Bulldogs 21 12 57%
Rice Owls 14 8 57%
Hawaii Warriors 14 8 57%
Arkansas-Pine Bluff Golden Lions 7 4 57%
George Mason Patriots 23 13 57%
Arizona Wildcats 23 13 57%
Fordham Rams 16 9 56%
Marshall Thundering Herd 16 9 56%
Samford Bulldogs 16 9 56%
Siena Saints 18 10 56%
San Francisco Dons 18 10 56%
Saint Joseph's Hawks 20 11 55%
Valparaiso Crusaders 20 11 55%
Western Michigan Broncos 20 11 55%
Creighton Bluejays 20 11 55%
Denver Pioneers 20 11 55%
Florida Atlantic Owls 20 11 55%
Pepperdine Waves 20 11 55%
Temple Owls 22 12 55%
James Madison Dukes 22 12 55%
Butler Bulldogs 22 12 55%
Arizona State Sun Devils 22 12 55%
Utah Runnin' Utes 22 12 55%
Mississippi State Bulldogs 22 12 55%
Brown Bears 11 6 55%
Columbia Lions 11 6 55%
Morehead State Eagles 15 8 53%
South Dakota State Jackrabbits 15 8 53%
North Texas Mean Green 15 8 53%
TCU Horned Frogs 17 9 53%
Southern Utah Thunderbirds 17 9 53%
Connecticut Huskies 19 10 53%
Seton Hall Pirates 19 10 53%
South Florida Bulls 19 10 53%
Indiana Hoosiers 19 10 53%
Ohio State Buckeyes 19 10 53%
UTEP Miners 19 10 53%
Cleveland State Vikings 19 10 53%
Illinois State Redbirds 19 10 53%
Furman Paladins 19 10 53%
Illinois Fighting Illini 21 11 52%
Minnesota Golden Gophers 21 11 52%
Long Beach State 49ers 21 11 52%
UIC Flames 21 11 52%
Washington Huskies 21 11 52%
North Carolina Greensboro Spartans 21 11 52%
Western Carolina Catamounts 21 11 52%
USC Trojans 23 12 52%
Rhode Island Rams 22 11 50%
North Carolina Tar Heels 22 11 50%
Marquette Golden Eagles 22 11 50%
Brigham Young Cougars 22 11 50%
Gonzaga Bulldogs 22 11 50%
Idaho State Bengals 20 10 50%
UAB Blazers 20 10 50%
Tennessee Volunteers 20 10 50%
Elon Phoenix 20 10 50%
Arkansas-Little Rock Trojans 20 10 50%
Texas Tech Red Raiders 18 9 50%
Nebraska Cornhuskers 18 9 50%
Georgia Bulldogs 18 9 50%
Utah State Aggies 18 9 50%
Notre Dame Fighting Irish 16 8 50%
Jacksonville State Gamecocks 16 8 50%
Chattanooga Mocs 16 8 50%
UNC Asheville Bulldogs 4 2 50%
South Dakota Coyotes 4 2 50%
New Orleans Privateers 2 1 50%
Wagner Seahawks 2 1 50%
Lamar Cardinals 2 1 50%
Alcorn State Braves 2 1 50%
Southern University Jaguars 2 1 50%
Dayton Flyers 21 10 48%
Kansas Jayhawks 21 10 48%
Oklahoma State Cowboys 21 10 48%
North Carolina Wilmington Seahawks 21 10 48%
Loyola (IL) Ramblers 21 10 48%
Boise State Broncos 21 10 48%
Northern Arizona Lumberjacks 19 9 47%
Rider Broncs 19 9 47%
Boston College Eagles 17 8 47%
Cincinnati Bearcats 17 8 47%
Pacific Tigers 17 8 47%
Buffalo Bulls 17 8 47%
Wyoming Cowboys 17 8 47%
Tennessee Tech Golden Eagles 17 8 47%
FIU Golden Panthers 17 8 47%
Louisiana-Lafayette Ragin' Cajuns 17 8 47%
Saint Mary's Gaels 17 8 47%
San Jose State Spartans 17 8 47%
Tulane Green Wave 15 7 47%
Eastern Kentucky Colonels 15 7 47%
Arkansas Razorbacks 15 7 47%
Middle Tennessee Blue Raiders 22 10 45%
Florida State Seminoles 20 9 45%
North Carolina State Wolfpack 20 9 45%
Villanova Wildcats 20 9 45%
Central Michigan Chippewas 20 9 45%
Wichita State Shockers 20 9 45%
San Diego State Aztecs 20 9 45%
Loyola Marymount Lions 20 9 45%
Kansas State Wildcats 18 8 44%
Missouri Tigers 18 8 44%
Saint Peter's Peacocks 18 8 44%
Eastern Michigan Eagles 18 8 44%
Alabama Crimson Tide 18 8 44%
Florida Gators 18 8 44%
Cornell Big Red 9 4 44%
Baylor Bears 16 7 44%
Loyola (MD) Greyhounds 16 7 44%
Ohio Bobcats 16 7 44%
IPFW Mastodons 16 7 44%
Troy Trojans 16 7 44%
Portland Pilots 23 10 43%
George Washington Colonials 21 9 43%
West Virginia Mountaineers 21 9 43%
Iona Gaels 21 9 43%
Charlotte 49ers 14 6 43%
East Carolina Pirates 14 6 43%
Virginia Tech Hokies 19 8 42%
Iowa State Cyclones 19 8 42%
Eastern Washington Eagles 19 8 42%
Montana Grizzlies 19 8 42%
Weber State Wildcats 19 8 42%
Hofstra Pride 19 8 42%
Austin Peay Governors 19 8 42%
Louisiana-Monroe Warhawks 19 8 42%
San Diego Toreros 19 8 42%
Northern Iowa Panthers 24 10 42%
Maryland Terrapins 17 7 41%
Citadel Bulldogs 17 7 41%
Oakland Golden Grizzlies 17 7 41%
Bradley Braves 22 9 41%
California Golden Bears 22 9 41%
Clemson Tigers 15 6 40%
Virginia Cavaliers 15 6 40%
Cal State Fullerton Titans 15 6 40%
Eastern Illinois Panthers 15 6 40%
IUPUI Jaguars 15 6 40%
Penn State Nittany Lions 18 7 39%
UC Santa Barbara Gauchos 18 7 39%
Tulsa Golden Hurricane 18 7 39%
Green Bay Phoenix 18 7 39%
Youngstown State Penguins 18 7 39%
Tennessee State Tigers 18 7 39%
Appalachian State Mountaineers 18 7 39%
Arkansas State Red Wolves 18 7 39%
South Alabama Jaguars 18 7 39%
Michigan Wolverines 21 8 38%
Michigan State Spartans 21 8 38%
Missouri State Bears 21 8 38%
Charleston Cougars 21 8 38%
Davidson Wildcats 21 8 38%
Wake Forest Demon Deacons 19 7 37%
Pittsburgh Panthers 19 7 37%
California Riverside Highlanders 19 7 37%
Miami (OH) RedHawks 19 7 37%
Oregon State Beavers 19 7 37%
LSU Tigers 19 7 37%
Wofford Terriers 19 7 37%
Santa Clara Broncos 19 7 37%
Princeton Tigers 14 5 36%
Air Force Falcons 14 5 36%
Northern Illinois Huskies 17 6 35%
South Carolina Gamecocks 17 6 35%
Massachusetts Minutemen 20 7 35%
Northern Colorado Bears 20 7 35%
Cal Poly Mustangs 20 7 35%
Evansville Aces 20 7 35%
Washington State Cougars 20 7 35%
Milwaukee Panthers 21 7 33%
Wright State Raiders 21 7 33%
Nevada Wolf Pack 18 6 33%
Dartmouth Big Green 9 3 33%
Belmont Bruins 3 1 33%
Morgan State Golden Bears 3 1 33%
Norfolk State Spartans 3 1 33%
Lehigh Mountain Hawks 3 1 33%
UNLV Runnin' Rebels 22 7 32%
Iowa Hawkeyes 19 6 32%
Texas Longhorns 16 5 31%
Georgetown Hoyas 16 5 31%
Sacramento State Hornets 16 5 31%
UMKC Kangaroos 16 5 31%
New Mexico Lobos 20 6 30%
Stanford Cardinal 20 6 30%
UC-Irvine Anteaters 17 5 29%
Idaho Vandals 17 5 29%
New Mexico State Aggies 17 5 29%
Southeast Missouri State Redhawks 18 5 28%
Duquesne Dukes 19 5 26%
Boston University Terriers 4 1 25%
Saint Louis Billikens 19 4 21%
Texas A&M Aggies 15 2 13%
Stony Brook Seawolves 1 0 0%
Kennesaw State Owls 2 0 0%
Charleston Southern Buccaneers 1 0 0%
Liberty Flames 2 0 0%
Virginia Military Keydets 1 0 0%
Cal State Bakersfield Roadrunners 1 0 0%
Bethune-Cookman Wildcats 2 0 0%
Hampton Pirates 1 0 0%
Howard Bison 1 0 0%
Savannah State Tigers 1 0 0%
Army Black Knights 1 0 0%
Central Arkansas Bears 1 0 0%
Nicholls Colonels 2 0 0%
Texas A&M-Corpus Christi Islanders 2 0 0%
Alabama A&M Bulldogs 1 0 0%
Alabama State Hornets 1 0 0%
Texas Southern Tigers 1 0 0%

As usual, if you have any of your own comments about this article or suggestions about how to improve the site, please do not hesitate to contact us at any time. We respond to every support contact as quickly as we can (usually within a few hours) and are very amenable to suggestions. I firmly believe that open communication with our customers and user feedback is the best way for us to grow and provide the types of products that will maximize the experience for all. Thank you in advance for your suggestions, comments and questions.

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