These are statistical projections and shouldn’t be the only thing that factors in to betting on a team, the stats only tell part of the story. Keep an eye on injuries, back to backs, COVID Issues, and players returning from injury. All stats pulled are TEAM stats from the Last 8 games (L8) and don’t account for individual players. So be aware of new absences and players returning from an absence that could skew the L8 Team stats.
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Next Project: Projections for MLB DFS. Look for periodic updates via twitter. I’m shooting for a mid May release. (NBA DFS will be here for next season).
Records
Top Performing Models
Based on Average Win % between ATS and O/U.
Team Trends
Quick look at how teams have performed over the last 8 games as compared to their season stats. Variance stats posted in Sundays reports.
This chart shows teams that are playing better or worse recently compared to there season as whole (in regards to points). The stats shown are each teams point per game (PPG) both season and last 8 games. The “Off Trend” shows if a team has averaged more points in the last 8 games than their season average, which typically indicates an increase in offense improvement recently. The next 2 columns show the “Opp” PPG or opponents points per game. That is how many points each team is giving up on average. A positive number in the “Def Trend” column indicates a team is allowing less points per game and playing better defensively lately. The overall trend just adds the Off and Def trend to give an overall Point Per Game difference compared to the season average. Positive numbers mean the team is playing better recently. The trend numbers are color coded to make it easier to read, Green is positive and indicates improvement compared to season average. Red is negative and indicates a team playing worse compared to season average. The “Over/Under Trend” column was added 3 March 2021. What is shows is teams with a higher positive number (Positive, Shaded in green) are scoring more points and/or allowing more points per game recently, indicating their games have been higher scoring and a likelihood that they have been hitting more overs lately. Teams with lower numbers (Negative, Shaded in red), have been scoring less points and/or allowing less points per game recently, indicating their games have been lower scoring and likely trend towards them hitting more under’s lately. Both the overs and unders hitting will be affected by Vegas adjusting the lines based on recent trends.
Team Variance
What this chart is showing is each teams Variance & Standard Deviation (Std Dev). Variance and Std Dev are calculated from the season stats (need a larger sample size than 8 games). The list is ordered from lowest team variance to most team variance. The variance is how wide spread the data is, a team that scores between 100 and 102 points every night will have very low variance, whereas a team that scores anywhere from 75 to 145 on a given night will have very high variance. The Std Dev is the square root of the variance and is a good measure for how consistent a team is… NOT how good or bad a team is, but how consistent they are. Std Dev shows the amount a teams score typically deviates from the average on a given night. The Jazz score (typically) will deviate about 9.74 points from there average on a given night, where the Warriors score (typically) will deviate 13.98 points from their average on a given night. Obviously the lower the Std Dev the easier it is for my models to project the score and provide higher probabilities.
Game Breakdown
Back to Back: Suns, Grizzlies, Cavs, Wizards, Hawks, Magic, & Kings
Hawks/Pistons: Trae Young is out again for his 3rd consecutive game for the Hawks, but his absence will be partially reflected in the stats because he has played in 4 of the last 8 games. Pistons have no absences that will be accounted for in the stats. Hawks are 4-7 straight up, 4-6-1 ATS, and 7-4 to the over on the second night of a back to back. Hawks are also 7-3 straight up and ATS, and are 5-5 to the over in the last 10 games. Pistons are 3-7 straight up, 5-4-1 ATS, and 3-7 to the over in the last 10 games.
Lakers/Magic: Caldwell-Pope is a GTD for the Lakers and is probable, but his absence would not be reflected in the stats if he does not play. Anthony Davis is also a GTD and probable. He has played only 2 games, so it would not be accurately reflected in the stats if he plays. Dennis Schroder is a GTD, but it would not be reflected in the stats if he does not play. James Ennis is a GTD for the Magic after missing the past 4 consecutive games. His absence would be partially reflected in the stats if he does not play. Carter-Williams is out for his 6th consecutive game, and his absence will be mostly reflected in the stats. Lakers are 4-6 straight up, 5-5 ATS, and 7-3 to the over in the last 10 games. Magic 5-6 straight up, 7-4 ATS, and 8-3 to the over on the second night of a back to back. Magic are also 1-9 straight up, 2-8 ATS, and 7-3 to the over I the last 10 games.
Spurs/Wizards: Spurs have no absences that will be accounted for in the stats. Hachimura is out again for the Wizards for his 5th consecutive game, and his absence will be partially reflected in the stats. Spurs are 6-4 straight up, 7-3 ATS, and 4-6 to the over in the last 10 games. Wizards are 6-8 straight up, and 9-5 ATS and to the over on the second night of a back to back. Wizards are also 9-1 straight up, 8-2 ATS, and 4-6 to the over in the last 10 games.
Thunder/76ers: Thunder are coming off a 2-day rest. Dort is out for the Thunder, but since he has played in 5 out of the last 8 games, his absence will be partially reflected in the stats. Embiid is a GTD for the 76ers, but his absence would not be reflected in the stats if he does not play. Tobias Harris is also a GTD, but his absence would be partially reflected in the stats if he does not play because he has played in 4 out of the last 8 games. Ben Simmons is out for his 5th consecutive game, and his absence will be partially reflected in the stats. Thunder are 0-10 straight up, 3-7 ATS, and 5-5 to the over in the last 10 games. 76ers are 5-5 straight up, 3-6-1 ATS, and 3-7 to the over in the last 10 games.
Cavs/Raptors: Collin Sexton is out for the Cavs, and his absence will be partially reflected in the stats. Raptors have no absences that will be accounted for in the stats. Cavs are 5-8 straight up, 7-6 ATS, and 3-10 to the over on the second night of a back to back. Cavs are also 3-7 straight up, 4-6 ATS, and 6-4 to the over in the last 10 games. Raptors are 5-5 straight up and ATS, and are 6-4 to the over in the last 10 games.
Suns/Knicks: Crowder is a GTD for the Suns after missing the past 2 consecutive games, but his absence would not be accurately reflected in the stats if he does not play. Knicks have no absences that will be accounted for in the stats. Suns are 10-4 straight up, 9-5 ATS, and 6-8 to the over on the second night of a back to back. Suns are also 6-4 straight up, 3-6-1 ATS, and 6-4 to the over in the last 10 games. Knicks are 9-1 straight up, 10-0 ATS, and 7-3 to the over in the last 10 games.
Bulls/Heat: Zach LaVine is out again for the Bulls for his 7th consecutive game, and his absence will be mostly reflected in the stats. Tyler Herro is a GTD for the Heat, but his absence would not be reflected in the stats if he does not play. Kendrick Nunn is also a GTD, and his absence would not be reflected in the stats if he does not play. Bulls are 3-7 straight up and ATS, and are 6-4 to the over in the last 10 games. Heat are 6-4 straight up, and 5-5 ATS and to the over in the last 10 games.
Jazz/Wolves: Donovan Mitchell is out again for the Jazz for his 5th consecutive game, and his absence will be partially reflected in the stats. Wolves have no absences that will be accounted for in the stats. Jazz are 6-4 straight up, and 4-6 ATS and to the over in the last 10 games. Wolves are 4-6 straight up, 4-5-1 ATS, and 7-3 to the over in the last 10 games.
Clippers/Pelicans: Kawhi Leonard is out again for the Clippers. He has played in only 1 of the last 8 games, so his absence will be almost fully reflected in the stats. Steven Adams is a GTD for the Pelicans, but his absence will not be reflected in the stats if he does not play. Alexander-Walker is listed as a GTD after his extended absence, so his return would not be reflected in the stats if he plays. Clippers are 9-1 straight up, 6-3-1 ATS, and 4-6 to the over in the last 10 games. Pelicans are 4-6 straight up, 3-7 ATS, and 6-4 to the over in the last 10 games.
Grizzlies/Nuggets: Grizzlies have no absences that will be accounted for in the stats. Will Barton is out for the Nuggets, but his absence will not be reflected in the stats. Grizzlies are 6-5 straight up and ATS, and are 7-4 to the over on the second night of a back to back. Grizzlies are also 5-5 straight up, and 7-3 ATS and to the over in the last 10 games. Nuggets are 7-3 straight up, 3-7 ATS, and 5-5 to the over in the last 10 games.
Mavericks/Kings: Luka Doncic is a GTD for the Mavericks, but his absence would not be reflected in the stats if he does not play. Maxi Kleber, Josh Richardson, and Porzingis are GTDs as well, and their absences would not be reflected in the stats if they do not play. De’Aaron Fox is out for the Kings, but his absence will not be reflected in the stats. Mavericks are 5-5 straight up, 3-7 ATS, and 5-5 to the over in the last 10 games. Kings are 4-9 straight up, 7-5-1 ATS, and 8-5 to the over on the second night of a back to back. Kings are also 2-8 straight up, 3-6-1 ATS, and 4-6 to the over in the last 10 games.
Sharp Report
ATS – Some Sharp money has come in on the Pistons +7.5, Spurs -1, Knicks +3, Pelicans +3.5, & Grizzlies +4.5.
O/U – Some Sharp money has come in on the Hawks/Pistons Under 221.5, Lakers/Magic Under 212.5, Spurs/Wizards Under 231.5, Bulls/Heat Under 206, & Jazz/Wolves Under 230.
Summary of Projections
Summary of Model Projections
Model Projections
1. Random Forest (R.F.)
Model Projections
How to read the projections: The model type is at the very top. Matchups are denoted by the alternating white/green pairings, away teams are on top, home teams on bottom. The model analyzes the matchup and projects the home and away teams score (Proj Score). The difference between the home teams score and the away teams score give us what the model says the line should be (Proj Line). The “Line” column is what the Vegas line is at the time I run the model. The “Line Diff” is the difference in the projected line and the Vegas line. A positive line diff means the projected line is in the away teams favor compared to the Vegas line, negative means the projected line is in the home teams favor. The “Cover Prob” uses a normal distribution and the teams variance to project each teams probability to cover the listed Vegas line. Same thing for totals, “Proj Total” is the sum of the projected scores, “Line Total” is the listed Vegas total for the game, the difference between the two, and the probability to go over or stay under denoted by “O” and “U”.
Betting Edge
If you don’t understand what you are looking at, I recommend reading my post about betting tips. The percentages show the betting Edge, which is the cover prob (from above) minus the implied probability (-110 odds implied prob is 52.4%). If a team has a 92.4% chance to win and a 52.4% implied probability (or -110 odds), the Edge is 40%. The Edge alone doesn’t mean you should blindly bet it. To quantify, >35% is great value, 20-35% is really good, 10-20% is decent, <10 is ok value, blanks are negative value. ML is moneyline.
2. Neural Network (NN)
New Model Projections
How to read the projections: The model type is at the very top. Matchups are denoted by the alternating white/green pairings, away teams are on top, home teams on bottom. The model analyzes the matchup and projects the home and away teams score (Proj Score). The difference between the home teams score and the away teams score give us what the model says the line should be (Proj Line). The “Line” column is what the Vegas line is at the time I run the model. The “Line Diff” is the difference in the projected line and the Vegas line. A positive line diff means the projected line is in the away teams favor compared to the Vegas line, negative means the projected line is in the home teams favor. The “Cover Prob” uses a normal distribution and the teams variance to project each teams probability to cover the listed Vegas line. Same thing for totals, “Proj Total” is the sum of the projected scores, “Line Total” is the listed Vegas total for the game, the difference between the two, and the probability to go over or stay under denoted by “O” and “U”.
Betting Edge
If you don’t understand what you are looking at, I recommend reading my post about betting tips. The percentages show the betting Edge, which is the cover prob (from above) minus the implied probability (-110 odds implied prob is 52.4%). If a team has a 92.4% chance to win and a 52.4% implied probability (or -110 odds), the Edge is 40%. The Edge alone doesn’t mean you should blindly bet it. To quantify, >35% is great value, 20-35% is really good, 10-20% is decent, <10 is ok value, blanks are negative value. ML is moneyline.
3. Basic Model
Model Projections
How to read the projections: The model type is at the very top. Matchups are denoted by the alternating white/green pairings, away teams are on top, home teams on bottom. The model analyzes the matchup and projects the home and away teams score (Proj Score). The difference between the home teams score and the away teams score give us what the model says the line should be (Proj Line). The “Line” column is what the Vegas line is at the time I run the model. The “Line Diff” is the difference in the projected line and the Vegas line. A positive line diff means the projected line is in the away teams favor compared to the Vegas line, negative means the projected line is in the home teams favor. The “Cover Prob” uses a normal distribution and the teams variance to project each teams probability to cover the listed Vegas line. Same thing for totals, “Proj Total” is the sum of the projected scores, “Line Total” is the listed Vegas total for the game, the difference between the two, and the probability to go over or stay under denoted by “O” and “U”.
Betting Edge
If you don’t understand what you are looking at, I recommend reading my post about betting tips. The percentages show the betting Edge, which is the cover prob (from above) minus the implied probability (-110 odds implied prob is 52.4%). If a team has a 92.4% chance to win and a 52.4% implied probability (or -110 odds), the Edge is 40%. The Edge alone doesn’t mean you should blindly bet it. To quantify, >35% is great value, 20-35% is really good, 10-20% is decent, <10 is ok value, blanks are negative value. ML is moneyline.