2019 College Season Win Totals


The following are the 8 College Season Win Totals Best Bets that I released to my subscribers on Monday morning, August 26.

Due to the past success of my season win totals (31-17-1, including 18-8-1 the last 6 years)the odds on these moved significantly and to the point where there is not enough value to play most of them.

Despite some no longer qualifying as plays at current odds I decided to post them for the sake of the team analysis.

Good luck this season.


2018 College Win Total Best Bets

2-Stars: BYU Over 6.5 wins (-106)

I easily won my BYU Under 9.5 wins bet in 2017, as the Cougars were just 4-9 thanks to the horrible offensive scheme of former OC Ty Detmer. Head coach Kalani Sitake saved his job by firing Detmer after that season and BYU bounced back with a solid 7-6 campaign in 2018. I expect more improvement in 2019, as the Cougars found themselves a productive quarterback in Zach Wilson, who averaged 6.8 yards per pass play (although against teams that would combine to allow 6.9 yppp to an average QB) and ran for 345 yards on 48 runs (7.2 yards per rushing play) in his 7 starts as a freshman. Wilson capped off his season with a perfect 18 for 18 performance (for 317 yards and 4 TD passes) in the Cougars’ 49-18 bowl victory. Having extra time before that bowl game to prepare with the first team offense certainly helped and now Wilson has had the entire off-season to prepare for what should be a very good sophomore season.

That bowl game performance skewed Wilsons’ numbers upward so I used his median passing performance (0.4 yards per pass play worse than average) as a starting point for evaluating this season. Returning starting quarterbacks make the biggest jump in their sophomore seasons and BYU’s top 3 receivers return along with their top running back Lopini Kaloa (5.6 ypr). The Cougars also have 4 of their 5 starting offensive lineman back and added transfer running back Ty’Son Williams, who averaged a solid 4.8 ypr in two seasons playing in the SEC with South Carolina. BYU’s median offensive performance last season was 0.2 yards per play worse than average but I project the Cougars’ offense at 0.2 yppl better than average heading into this season with potential upside based on Wilson’s strong finish last season.

Defensively is where this BYU team really shines, as the Cougars return 8 starters to a unit that was 0.8 yppl better than average last season (4.8 yppl allowed to teams that would average 5.6 yppl against an average defensive team – adjusted for facing Western Michigan’s horrible backup QB in their bowl game, among other things). I actually expect slightly worse results from the defense because it’s unlikely that they’ll allow just 9.8 yards per completion as they did last season, but they should still be very good on that side of the ball.

BYU will be underdogs in their first 4 games (Utah, at Tennessee, USC and Washington) but they should win at least one of those games (I project 1.5 wins) and my ratings favor the Cougars in their final 8 games, including a home game against an overrated Boise State team (64% chance to win that game based on my ratings). Road games at Toledo, South Florida, Utah State, and San Diego State will be challenging but my ratings project 2.7 wins in those 4 games and BYU will be heavy favorites against Liberty, Idaho State and UMass.

Overall, my ratings project 7.8 wins for BYU and ESPN’s football power index, which also have proven to be better than the market predicting win totals, has the Cougars at 7.5 wins. I’ll take BYU over 6.5 wins for 2-Stars at -115 odds or better and for 1-Star up to -125 odds.


2-Stars: Purdue Under 7 Wins (-120)

Purdue has gone 6-6 in the regular season in each of head coach Jeff Brohm’s first two seasons while rating at about 7 points better than average both seasons. Purdue’s overall level of play should be a bit worse this season while most of the other teams in their division of the Big 10 have improved. It will be a challenge to for Brohm to finally get that 7th regular season win this season without quarterback David Blough. Blough blossomed last season and averaged 7.0 yards per pass play (against teams that would allow 5.9 yppp to an average quarterback) and I don’t project Elijah Sindelar to be nearly as good. Sindelar started 8 games in 2017 with sub-par results (5.7 yppp against teams that would allow 6.0 yppp) and he was 0.5 yppp worse than average in two games last season before suffering a season-ending injury in practice before week 3. I do expect Sindelar to be significantly improved after two years in Brohm’s system but I don’t expect him to be as good as Blough was last season, even with star sophomore WR Rondale Moore back. Moore is an exciting player to watch and earned All-American honors last season but his 8.1 yards per target was actually worse than the 8.9 YPT that departed seniors Isaac Zico and Terry Wright combined to average. Fellow sophomore Jared Sparks is expected to have a bigger role this season but he averaged a dismal 5.8 yards on the 47 balls thrown to him last season. Highly touted freshman David Bell should help but overall I just don’t see the passing numbers being as good this season and the rushing stats are projected to slip as well with top rushers Knox and Jones gone and just 2 starters returning on the line (only 3 starters total return to the offense).

The issue is that they’re facing a tougher schedule in the improved Big 10 West and my ratings favor Purdue by more than a couple of points in just 3 games while being less than a field goal favorite in two others. I project the Boilermakers as underdogs in the other 7 games, including double-digit dogs in 3 games. Overall I project just 5.7 wins for Purdue this season (ESPN’s FPI, which has also proven predictive in win totals, projects only 4.7 wins) and I’ll play Under 7 wins for 2-Stars at -135 odds or better and for 1-Star up to -150 odds.


2-Stars: Texas Under 9 wins (-120)

I don’t understand all the hype about Texas. Yes, the Longhorns went 10-4 last season and finished the season with an upset win over Georgia but they were outgained 5.6 yards per play to 5.7 yppl for the season and were only 9.7 points better than average overall from the line of scrimmage after taking into account play differential and strength of schedule. Texas was 7-3 in games decided by 7 points or less and were more like an 8-6 team than a 10-4 team. I do rate Texas as improved offensively this season with Sam Ehlinger likely to be better with a fully healthy shoulder, even without go-to receiver Lil’ Jordan Humprey. However, Texas was only 0.1 yards per play better than average offensively last season (5.6 yppl against teams that would allow 5.5 yppl to an average team) and I project that unit at 0.5 yppl better than average this season, which is hardly special in the offensive-minded Big 12.

Texas only has 3 starters returning on the defensive side of the ball but the talent level is very good and I don’t expect them to decline much despite the inexperience (from 0.8 yppl better than average to a projected 0.6 yppl better than average this season).

Overall I think Texas will be a better team this season but they were not nearly as good as their record suggested last season and that win over Georgia in the Sugar Bowl had a lot to do with the Bulldogs not really caring after being unjustly left out of the playoffs (they were the 3rd best team in the nation). I rate Texas as the 23rd best team in the nation (and 3rd best in the Big-12 behind Oklahoma and Iowa State) and I’m not alone in projecting the Longhorns as an overrated team (ESPN FPI ranks them 26th with just 7.7 regular season wins).

My ratings make Texas a significant underdog to LSU (27% chance to win) and Oklahoma (20%) and the Longhorns have 3 toss-up games at TCU (49% chance to win), at Iowa State (39%) and at Baylor (54%) in which they are more likely to lose two than win two. They’re also likely to lose one of three games as favorites against Oklahoma State (68%), at West Virginia (68%) and against Texas Tech (76%), as they’re projected at just 35% to sweep those 3 games. Texas will be a big favorite in 4 games against Louisiana Tech, Rice, Kansas, and Kansas State but it all adds up to 7.7 wins based on my ratings and they’d need to go 10-2 for me to lose this play, which is very unlikely. In fact, based on my ratings it’s only 28% likely that Texas wins 3 or more of their toughest 5 games and only 26% that they sweep the other 7 games (just in case they happen to win 3 against the 5 good teams they face). I’ll take Texas Under 9 wins for 2-Stars at -125 odds or better and for 1-Star up to -135 odds. Under 9.5 up to -220 is also okay.


1-Star: Washington Under 9.5 wins (Even)

Washington has won 10 or more regular season games in each of the past three seasons (11 in ’16 and 10 each of the last two seasons) but those 3 teams each had a returning starter at quarterback while averaging 14.7 returning starters. This season’s team has an unproven quarterback whose hype has more to do with ‘arm talent’ than it does actual success on the football field and the Huskies return a total of just 9 starters, including just 2 on the defensive side of the ball.

Jacob Eason takes over at quarterback after 4 years of Jake Browning. Many think Eason is better than Browning but Browning’s compensated yards per pass play rating in each of the past 3 seasons rank 1st, 3rd, and 4th among the Huskies last 17 seasons while Eason was worse than average (on a national scale) in his season as Georgia’s starting quarterback in 2016 (5.9 yards per pass play against a schedule of teams that would allow 6.1 yppp to an average QB). Granted, Eason was just a freshman that season but Georgia also started a true freshman the very next season and the Bulldogs were 2.5 yppp better than average in 2017 with Jake Fromm. And, Browning was better in his freshman season than Eason was in his. That year with Eason at quarterback was the worst pass attack that Georgia has had in at least the 20 years that my compensated ratings go back, so there is no argument other than ‘arm talent’ that Eason will be better than Browning was and arm talent doesn’t mean a quarterback can read a defense quickly, which was the knock on Eason Georgia. I have no doubt that Eason will be much better this season than he was 2 years ago as a true freshman and I actually rate the Huskies aerial attack at 1.4 yppp better than Eason’s 2016 season and just 0.3 yppp worse than Browning’s season last year. And, overall I only rate Washington’s offense at 0.1 yards per play worse than the 2018 edition (although Eason could be much worse than projected based on his 2016 performance).

The defense is the side of the ball that is likely to slip the most for Washington this season, as just 2 starters return from last year’s dominating unit. There is still plenty of talent to be a top-20 rated defense but it’s highly unlikely that the Huskies’ stop unit will be as good as it has been the last 4 seasons given the relative inexperience.

Washington is obviously still a very good team but I don’t think they’ll be as good as they’ve been the last 3 seasons (averaged 10.3 regular season wins) and almost every team in the Pac-12 is improved. The Huskies do get all of the other top teams in the conference at home (USC, Oregon, Utah, and Washington State) but they’re more likely to go 2-2 in those games than they are to win 3 or more against those good teams at home (based on my ratings) and sweeping trips to BYU and Stanford is unlikely. Summing up the chances of winning each game gives me a projection of just 8.3 wins for the Huskies and I’ll go Under 9.5 wins at -125 odds or better for 1-Star.


1-Star: Maryland Over 4 wins (-114)

Washington is obviously still a very good team but I don’t think they’ll be as good as they’ve been the last 3 seasons (averaged 10.3 regular season wins) and almost every team in the Pac-12 is improved. The Huskies do get all of the other top teams in the conference at home (USC, Oregon, Utah, and Washington State) but they’re more likely to go 2-2 in those games than they are to win 3 or more against those good teams at home (based on my ratings) and sweeping trips to BYU and Stanford is unlikely. Summing up the chances of winning each game gives me a projection of just 8.3 wins for the Huskies and I’ll go Under 9.5 wins at -125 odds or better for 1-Star.

Maryland’s offense returns star sophomore running back Anthony McFarland (1034 yards at 7.9 ypr) and gets an upgrade at quarterback assuming that Virginia Tech transfer Joshua Jackson wins the starting job. Jackson was 0.7 yards per pass play better than average as a freshman at V Tech in 2017 (6.8 yppp against teams that would allow 6.1 yppp to an average QB) but was injured early last season and decided to transfer. It’s possible that Ty Pigrome wins the quarterback job, which would also be an upgrade, as Pigrome rated at 0.7 yppp better than average last season (6.0 yppp on 81 pass plays against teams that would allow 5.3 yppp) while Kasim Hill (transferred to Tennessee) was 0.5 yppp worse than average (5.4 yppp against teams that would allow 5.9 yppp). Pigrome also led the 2017 season opening upset win over Texas by going 9 for 12 for 175 yards (and running for 64 yards) before a season-ending injury, so I’m fine if he wins the job over Jackson. Maryland may not average 6.7 yards per rushing play, as they did last season, in the new system but the pass attack should be better.

Defensively the Terrapins should be pretty close to their rating of the last two seasons (0.3 yards per play better than average) despite just 3 returning starters, as they’ve added talented transfers Keandre Jones (Ohio State) and Shaq Smith (Clemson) to fill the void at linebacker and have highly rated freshman Nick Cross (4-star rating and #4 rated freshman safety in the nation) adding depth at free safety after losing returning starter Antwaine Richardson to an ACL injury.

Overall I rate Maryland a bit worse than last season from the line of scrimmage but the Terrapins were better last season than their scoring margin suggested and I believe they’re underrated heading into this season. My only fear is that new head coach Mike Locksley is as bad as he was in his first head coaching stint at New Mexico, where he went 2-26 from 2009 to 2011. However, Locksley has been at Alabama learning under Nick Saban in recent years and was the offensive coordinator in Tuscaloosa last season when the Crimson Tide set team offensive records, so I have faith that he’ll be much better here than he was at New Mexico a decade ago.

Maryland should easily get two wins vs Howard and at Rutgers and will almost surely lose games to Michigan, at Ohio State and at Michigan State. However, a home upset win over Penn State or Nebraska would not be too shocking and my ratings favor the Terrapins at home against an overrated Syracuse team in week 2. I also favor Maryland at Temple and at home against Indiana and give the Terps a 43% chance of winning at Purdue. Overall, I project 4.9 wins for Maryland and I’d only lose this bet if they can manage only 3 wins, which is very unlikely given that wins over Howard and Rutgers are 99% and 80% likely. That would mean they’d just have to win 2 of 5 games against Syracuse (54%), Temple (54%), Purdue (43%), Indiana (52%) and Nebraska (40%) to get to 4 wins (79% chance of winning 2 or more of those games) and it’s 47% likely that they win 3 or more of those games. Plus, there is a 45% chance they pull at least upset at home against Penn State (28%) or at Minnesota (23%). It’s actually over 80% likely that Maryland wins at least 4 games, which would keep us from losing this play, and over 60% likely that they win 5 games or more.

Those percentages may seem high based on the 4.9 projected wins but the distribution of expected win percentages for each game is advantageous in the case of Maryland (because of higher than normal variance in those expected win percentages). For example, let’s say I had a team that projected to win 5.0 games with 5 games at 100% chance to win and 7 games at 0% chance to win and the season win total was set at 4.5 games. In that case there would be a 100% chance of going over 4.5 wins even with the projected wins only 0.5 games higher than the win total. That’s an extreme example but it shows how the distribution of expected win percentages of each game plays a factor and in the case of Maryland that wide distribution helps their chance of going over 4 wins. I’ll play Maryland OVER 4 wins at -125 odds or better for 1-Star.


1-Star: Eastern Michigan Over 6.5 wins (+129)

Eastern Michigan has been built up from one of the worst programs in the nation to a consistently competitive team under coach Chris Creighton. After years of winning 2 or fewer games, the Eagles have won an average of 6.3 games per season the last 3 years and last season’s 7-6 would have been much better if the Eagles had any luck in close games, as they were just 2-5 in games decided by 7 points or less, including 0-2 in overtime games. Eastern Michigan was actually one of the best teams in the MAC last season and the Eagles were just 0.2 yards per play worse than an average FBS team, rating at 0.5 yppl worse than average offensively and 0.2 yppl better than average defensively.

The Eagles should be better offensively this season with quarterback Mike Glass taking over as the starter after playing much better than fellow QB Tyler Wiegers last season despite injuries. Glass averaged 7.9 yards on his 125 pass plays (against teams that would allow 7.1 yppp to an average quarterback) with just 1 interception while also running for 434 yards at 7.0 yards per rushing play. I actually expect Glass’ numbers to go down, as it’s not likely that he’ll continue to average 14.2 yards per completion given his team’s more modest 12.0 ypc average. However, I do project Glass at 0.2 yards per pass play better than average (on a national scale), which is a significant upgrade of 0.7 yppp over last year’s overall passing rating. The rushing numbers should also be better with Glass’ running topping the overall quarterback running last season, which included Wiegers’ sub-par 171 yards on 41 runs (just 4.2 yprp).

The more potent offense nearly makes up for a defense that is likely to regress some with just 4 returning starters and overall the Eagles project at just 0.3 yards per play worse than average and only about 5 points worse than an average FBS team, which is good for the MAC.

Eastern Michigan has 7 games in which my ratings give them a 70% chance or higher of winning (at Coastal Carolina, Central Connecticut, at Central Michigan, Ball State, Buffalo, at Akron, and Kent State) and one other game in which I have the Eagles as a small favorite (home against Western Michigan). Eastern Michigan has just 1 game in which they’ll be a prohibitive underdog (at Kentucky) and the other 3 games I have them projected as a dog are all winnable games (42% at Illinois, 41% at Toledo and 38% at Northern Illinois). I project 7.4 wins for Eastern Michigan and I’ll go OVER 6.5 wins for 1-Star at Even money or better.


1-Star: New Mexico Under 4 wins (+116)

New Mexico was 3-9 in each of the last two seasons and I don’t see the Lobos improving on that record this season. The offense should be better with last year’s opening game starting quarterback Tevaka Tuioti back, along with Sheriron Jones, who was actually their most effective quarterback last season. The switch from the option to the spread offense may have been a mistake based on last year’s offensive drop (from 0.6 yards per play worse than average in 2017 to 1.4 yppl worse than average last season) but I project an improvement to just 0.9 yppl worse than average in the second season of the spread (under a new OC).

The Lobos’ defense was its typically bad self in 2018, rating at 0.8 yppl worse than average, but this year’s team has just 3 returning starters (including LB Hart, who missed most of last season with an injury) and their top 7 defensive backs need to be replaced. Both of last year’s cornerbacks actually signed on as NFL free-agents this season so it’s doubtful that this year’s crop of JC transfers and inexperienced freshman and sophomore will be able to improve the pass defense numbers. The run defense was actually pretty good last season, by New Mexico standards, rating at just 0.1 yards per rushing play worse than average, but I expect that metric to regress back to the -0.5 yprp range of 2015 to 2017. It’s likely that New Mexico’s defense gets even worse this season and overall the Lobos are a slightly worse team than they were last season.

New Mexico plays 5 bad teams in their first 6 games (Sam Houston State, New Mexico State, Liberty, San Jose State, and Colorado State) but I rate the Lobos as a solid favorite only against Sam Houston State (with only a 66% chance to win) and give them a 41% to 53% chance of winning each of the other games against bad teams. The projection is for a total of 2.4 wins in those 5 games but my ratings give the Lobos no chance to win at Notre Dame and a 25% chance or less of winning each of their other 6 games with a total projection of just 3.1 wins. Getting to 5 wins to go over is unlikely, as there is a 51% chance that the Lobos go winless against the 7 non-horrible teams that they face. If they happen to win one of those games that’s okay too given that their chance of winning 4 of their 5 games against the bad teams is just 14% (only 2.5% that they win all 5 of those). There is only a small chance that New Mexico gets to 5 wins or more and I’ll go Under 4 wins at Even money or better for 1-Star.


1-Star: Memphis Under 9.5 wins (-104)

A lot is expected of Memphis this season and they should be a bit better than last season but the Tigers weren’t actually that good last season and the loss of their most dangerous offensive player appears to be undervalued by the market.

Memphis returns Brady White at quarterback and most of the receivers but White was just mediocre last season, as his impressive 7.5 yards per pass play is less impressive when considering that the Tigers’ opponents would allow 7.5 yppp to an average FBS quarterback. The big problem for Memphis is the absence of superstar running back Darrell Henderson, who ran for 1909 yards on 214 carries for an amazing 8.9 yards per run (he also averaged 8.9 ypr in 2017). Taking over as the #1 back is senior Patrick Taylor, who ran for 1122 yards at 5.4 ypr last season. There is a big enough sample size on Taylor (458 career runs for 5.5 ypr) to know that he’s not the explosive star that Henderson was and I expect the Memphis ground attack to be over a full yard per run worse this season, which equates to 4.5 points per game. Henderson also averaged 12.8 yards on 23 passes thrown to him last season but I expect White and the aerial attack to improve (by 0.3 yppp based on my algorithm) even without Henderson turning screen passes into big gains (Taylor averaged 7.3 yards per target).

While the offense will likely be worse without Henderson (0.4 yppl worse) the defense is projected to be 0.6 yppl better with 8 returning starters, going from 0.3 yppl worse than average to 0.3 yppl better than average based on my algorithm.

Memphis is projected to be a better team than they were last season, even without Henderson’s 4.5 points per game worth of relative value, but the Tigers were only 3.2 points better than an average FBS team last season and they appear to be overrated. Memphis was a bully last season, going 5-0 as a favorite of 16 points or more (56-21 average score) while being just 3-6 in all other games, including 3 upset losses.

Memphis avoids facing UCF this season and my ratings favor the Tigers in 10 of their 12 games (dog at Houston and vs Cincy) but games vs Ole’ Miss, at Temple and at South Florida are not gimmies (projected record in those 3 games is 1.8 wins and 1.2 losses) and the sum of all of their win probabilities equals just 8.5 wins.

There are only going to be a few games in which Memphis is a huge favorite (Southern and at South Alabama, and maybe vs Navy) and they have 7 games in which I project them to be favored by less than 10 points (or as an underdog). The Tigers are only 8-13 straight up in 3 seasons under coach Mike Norvell when they’re not favored by 10 points or more (5-5 favored by less than 10 and 3-8 as an underdog) and there are fewer teams on the schedule that Memphis can bully this season. I’ll go Under 9.5 wins at -115 odds or better for 1-Star.


Dr Bob Sports NFL Best Bet Service

I had a great 2018 NFL season with the updated version of the model that uses advanced play-by-play metrics with adjustments for personnel.

The 2018 NFL Best Bets were 45-26 for +15.65 Stars while the Strong Opinions were 31-22 for the season.

The results since 2016, when I started using play-by-play data and advanced metrics, has been good on both Best Bets and Opinions.

2016-18 NFL Best Bets are 182-127-2 (58.9%)  – 114-63-2 on sides, 62-57 on totals, 1-2 1st-half totals, 2-3 team totals, 3-1 teasers, 0-1 season win totals.

2016-18 NFL Strong Opinions are 123-93-4 (56.9%) – 54-53-3 sides, 52-35-1 totals, 1-1 1st-half sides, 4-0 1st-half totals, 1-0 Team Totals, 11-4 Post-season prop bets.

Closing Line Value

If you are among those that purchase plays by the week you’d be much better off subscribing to a 4-week or season package, as we are getting a lot of line value releasing Best Bets to subscribers early in the week. In 2018 the average closing line value on our 68 Best Bets (not including the 3 teasers) was +2.8%, meaning that playing our games at the release line makes you 2.8% more likely to win each play, on average, than playing them on the closing line, which is also a good indicator of our model.

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Dr Bob College Football

My College Football Best Bets are 2113-1728-67 (55%) on a Star Basis for +232.7 Stars Since 1999 (+222.7 Stars on Sides, -32.7 Stars on Totals, and +29.6 Stars on season win totals and futures) and the Strong Opinions are a profitable 637-560-15 (578-498-14 on Sides and 59-62-1 on Totals).

My 2018 College Football Best Bets were 52-35-2 (60%) and 75-49-3 on a Star Basis (2-0 on 3-Stars, 18-14-1 on 2-Stars and 32-21-1 on 1-Stars) for +20.85 Stars of profit (including -0.25 in extra juice). The Strong Opinions were 22-17 for the season.

I finally had a season in which I was even in close games and fumbles and had the positive results that my handicapping deserved after 3 seasons of losing a high percentage of close games (see below).

Unfortunately, my College Season Win Total Best Bets, which were 31-13-1 all-time entering this past season, were 0-4 for -7.77 Stars. But, it was still a solidly profitable season at +13.08 Stars.

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Dr Bob Basketball

My Basketball Best Bets were a very profitable +86.7 Stars on all Basketball Best Bets the last two seasons.

My Basketball Best Bets (College and NBA) are a very profitable +435.1 Stars (at -110 odds) the last 21 years and I’m 54.2% winners on my Basketball Best Bets over 30 years for an average profit of +29.5 Stars.

I am a very profitable 393-311-15 (56%) on my College Basketball Bet Bets the last 2 seasons after making changes to my process – most notably releasing most plays in the morning when the lines are weakest.

My NBA Best Bets were a solid 90-76-1 last season. I started the season slowly but rallied with a 51-31-1 run to finish the season.

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NBA Guru Basketball

The NBA Guru was 131-82-4 on Best Bets this past season (65-34-4 sides, 47-31 totals, 14-4 on 1st-half sides, 5-13 on 1st-half totals) and 262-164-8 on a Star Basis (all Best Bets have been for 2-Stars) for +80.7 Stars (with an extra -0.9 for added juice).

In 7 seasons with Dr Bob Sports the NBA Guru is 923-749-27 on his Best Bets and 1921-1556-55 on a Star Basis (75-58-1 on 3-Stars and 848-691-26 on 2-Stars) for a profit of 207.6 Stars at -110 odds (with an extra -1.7 for added juice).

Best Bet full-game Sides are 334-274-10

Best Bet full-game Totals are 328-271-7

Best Bet 1st-half Sides are 145-121-7

Best Bet 1st-half Totals are 116-83-3

Playoff series Best Bets are 1-0

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Free Analysis

Each week during the season I will continue to provide free information on about 50-60 NFL and College games each week.

The Free analysis in the College Football section has been a profitable 1626-1431-62 ATS on all games the last 6 years, including 569-473-22 (54.6%) on games with a predicted difference of 4 points or more from the line.

My Basketball Free Analysis is 700-597-17 (54.0%) the last five seasons and is profitable over 13 seasons since I’ve been posting Free Analysis in basketball.

I hope you have enjoyed the free analysis in previous seasons and will continue to visit weekly this upcoming season.  Even if you’re not a gambler you can gain insight into your favorite teams by visiting my Free Analysis pages.

If you have any questions please don’t hesitate to email me at [email protected] (or just reply to this email).

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p.s. Follow me on twitter (@drbobsports) for weekly trends and updates on free plays.

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