There are so many sports ratings systems out there and it can be overwhelming and seem impossible to know which ones to trust. So why trust Eye Test Analytics? My ratings system is different because I built it using my eyes as my main guideline, based on years of competing in sports as well as watching sports as a fan, hence the name “Eye Test” Analytics. No matter how many numbers I analyzed and no matter how many years of data I collected if my ratings didn’t match what my eyes told me than I wasn’t satisfied. After over a decade worth of hard work I have finally created premier collegiate and professional ratings system and I have years of compelling data and evidence to back up my claim.
For example, in three college basketball seasons from 2017-2019, in a test of 980 postseason tournaments mostly played at neutral sites, the team with the better overall rating using my formula had a record of 691-287 which is a win % of .707. To put that into context on average the past three seasons only 13% of the over 350 division 1 teams in college basketball finished the season with a win % above .707. In addition to that, my formula predicted a final score within 3 points or less of the actual final score in 215 out of those 980 games. That means 22% or about 1 out of every 5 games my formula predicts a final score within 1 basketball possession of the actual final score.
In college football over three seasons from 2017-2019, in a random test of 854 regular season and bowl games played, the team with the better overall rating using my formula had a record of 616-238 which is a win % of .721. To put that into context on average over the past 4 seasons only 19% of the over 130 division 1 teams in college football have finished the season with a win % above .721. In addition to that, my formula predicted a final score within 3 points or less of the actual final score in 128 out of those 854 games. That means 15% or about 1 out of every 6 games my formula predicts a final score within a field goal of the actual final score.
In a random sample of 450 NCAA Baseball series matchups in 2023 my ratings predicted 103 (23%) within 1 run of the average margin of victory between the two teams. In addition to that, 8 of my top 10 teams on May 1st, a full month before the start of the NCAA Baseball Championship, advanced to the Super Regionals (final 16 teams).
Initially my focus was just college ratings but as time went on I decided to transition into professional sports using the same methodology as college. Although my sample size of data testing is much smaller my NFL, NBA, and MLB ratings have produced results matching the level of accuracy of my college ratings. They have also consistently provided accurate results for the biggest, most important sporting events.
For example, my ratings predicted the Super Bowl 56 matchup between the Los Angeles Rams and Cincinnati Bengals within .96 points of the actual final score (Rams by 3.96, won by 3). My ratings also predicted the Houston Astros would win by an average of .66 runs per game against the Philadelphia Phillies in the 2022 World Series. In 6 games between the two teams the Astros won by an average of .66 runs per game EXACTLY the number my ratings predicted! Eye Test Analytics was one of if not the only ratings system that had the Golden State Warriors rated higher than the Boston Celtics prior to the start of the 2022 NBA Finals. Other notable models such as FiveThirtyEight gave the Celtics a 92% chance of winning the series. Basketball Power Index (BPI) gave the Celtics a 94% chance of winning the series. The Warriors went on to defeat the Celtics winning the series 4-2.
Eye Test Analytics isn’t just strictly ratings. For every sport, prior to the start of the season, I provide detailed previews that include my predicted order of finish as well as which teams I believe will improve/regress the most from the previous season.
For the 2022-23 NBA season all 5 of my preseason teams to buy (Cleveland, New York, New Orleans, Portland, and Sacramento) improved their win total from last year and increased their win % from .424 (174-236) in 2021-22 to .539 (221-189). On the other hand, my 5 preseason teams to sell (LA Clippers, Memphis, Minnesota, Philadelphia, and Toronto) decreased their win % from .593 (243-167) in 2021-22 to .566 (232-178) and my top team to sell Toronto decreased their win total by 7 games.
For the 2022-23 NFL season my 5 teams to buy (Detroit, Carolina, Minnesota, Denver, and Washington) improved their win % from .357 (30-54-1) in 2021 to .500 (42-42-1) and my top team to buy Detroit tied Jacksonville for the largest increase in win total at 6. In addition to that, my 5 teams to sell (Las Vegas, Tampa Bay, Arizona, Tennessee, and Philadelphia) decreased their win % from .647 (55-30) in 2021 to .459 (39-46).
For the 2023 MLB season my 3 teams to buy (Arizona, Texas, and Cincinnati) improved their win % from .420 (204-282) in 2022 to .527 (256-230) with both the Texas and Arizona meeting in the World Series.
Now is the time to get on board with Eye Test Analytics and finally be able to have access to accurate reliable sports ratings and content that you can depend on!