John Ryan

Marlins vs Dodgers 
10;10 EST 
5-Unit bet on the Marlins priced as a 230-underdog. 

MLB Road Underdog Algorithm: Results and Criteria 

Algorithm Overview 

This Major League Baseball betting algorithm targets road underdogs with significant value. Since 2006, it has produced a 121-174 record, equating to a 41% win rate. Despite the lower win percentage, the average wager price of +194 has resulted in an 18% return on investment (ROI). For bettors staking $1,000 per game, this strategy has generated a profit of $64,480. Fans wagering $50 per game have earned $3,225 during the same period. 

Algorithm Criteria 

Bet on road underdogs priced at +150 or higher on the money line. 

The underdog team must have won between 70 and 82 games in the previous season. 

The team should be on a losing streak of two or more games. 

The opponent must be an elite team, defined as having won at least 60% of their games. 

Braves vs Tigers 
7:15 EST 
7-Unit bet on the Braves priced at +100 and is valid up to –120-favorite. 

MLB AL Home Team Low Batting Average Algorithm: Performance and Criteria 

Algorithm Overview 

This Major League Baseball betting algorithm has delivered an impressive 50-15 record over the past five seasons, equating to a 77% win rate. The average wager price has been -126, generating a substantial 39% return on investment (ROI). For a bettor staking $1,000 per game, this strategy has resulted in $28,400 in profits. Fans wagering $50 per game have earned $1,420 during the same period. 

Algorithm Criteria 

Bet on American League (AL) home teams. 

The home team must have a batting average of .260 or lower for the season. 

The home team is coming off two consecutive games in which they and their opponents combined for three or fewer runs in each game. 

Non-Divisional Matchup Results 

When these conditions are met in non-divisional matchups, the algorithm has achieved a 17-9 record, reflecting a 65% win rate. The average wager in these cases has been -108, producing an impressive 33% ROI. 

Astros vs Orioles 
6:35 EST 
7-Unit bet on the Astros priced as a 125-underdog. 

MLB Underdog Money Line Algorithm: Performance and Criteria 

Algorithm Overview 

This MLB betting algorithm identifies profitable situations involving underdogs on the money line. Since 2004, it has produced a 98-101 record, equating to a 49% win rate. Despite the nearly even split between wins and losses, the algorithm delivers a strong 15.5% return on investment (ROI) due to the average underdog odds of +138. For bettors wagering $1,000 per game, this translates to a profit of $38,240, while fans betting $50 per game have earned $1,910 over the same period. 

Algorithm Criteria 

Bet on an underdog when the favorite is priced between -135 and -165 on the money line. 

The favorite team must have hit 6 or more home runs across their previous three games. 

The favorite lost their most recent game by 2 or more runs. 

The favorite recorded at least one home run during the loss. 

The favorite is averaging runs scored in more than one inning per game throughout the season. 

Hawks vs Knicks 
8 EST 
7-Unit bet on the Hawks priced as a 6.5-point underdog and sprinkle the money line for not more than 2 units more.  

So, consider betting 6 units getting the points and 2-units on the money line. 

NBA Road Revenge Algorithm: Performance and Criteria 

Algorithm Overview 

This NBA betting algorithm targets road teams seeking to avenge a same-season loss, with specific situational requirements designed to maximize success. Since 2016, bets placed using this system have resulted in a 123-196 straight-up (SU) record, equating to a 39% win rate. However, the algorithm demonstrates strong performance against the spread (ATS), achieving a 192-124-3 record, which translates to 61% winning bets. 

Algorithm Criteria 

Bet on road teams avenging a same-season loss. 

The road team must be coming off a double-digit home loss. 

Enhanced Performance: Hot Teams 

When the road team has won seven or more of their previous ten games, the algorithm's effectiveness increases significantly. In these situations, the record improves to 12-8 SU and 15-5 ATS, resulting in a 75%-win rate for ATS bets. 

76ers vs Celtics 
7 EST 
7-Unit bet on the 76ers priced as an 11.5-point underdog. 

NBA Road Underdog Algorithm: Performance and Criteria 

Algorithm Overview 

This NBA betting algorithm is designed to target road underdogs based on specific criteria, aiming to maximize success against the spread (ATS). Since 2017, bets placed using this system have resulted in a 13-28 straight-up (SU) record, equating to a 28% win rate. However, the algorithm excels in ATS performance, achieving a 29-11-1 mark, which translates to 73% winning bets. 

Algorithm Criteria 

Bet on road underdogs with a point spread between 7 and 14 points. 

The underdog team must be coming off a home loss by 20 or more points. 

The underdog team must have lost the previous meeting against their current opponent by double-digits. 

Divisional Matchup Performance 

When the algorithm's criteria are applied to divisional matchups, road underdogs demonstrate even stronger performance. In these situations, the teams play with added intensity, resulting in a 5-9 SU record and an impressive 11-3 ATS record. This corresponds to a 79% win rate for ATS bets since 2017. 

Ducks vs Oilers 
10 EST 
7-Unit bet on the Ducks priced as a 145-underdog. 

NHL Road Dog Algorithm: Ducks vs Oilers Betting Rationale 

This betting strategy for the Anaheim Ducks relies on a specific NHL algorithm that has produced consistent profitability over the past six seasons. The system has recorded a 55-59 win-loss record, resulting in a 48% win rate for its bets. Despite this near-even split, the algorithm's average wager price of +149 has generated a noteworthy 17% return on investment (ROI), demonstrating its effectiveness in identifying value underdog opportunities. 

Algorithm Criteria 

Bet on road underdogs priced between +120 and +170. 

The total for the game must be 6 or more goals. 

The underdog has allowed three or more goals in each of their last three games. 

The current opponent has scored three or more goals in each of their last three games. 

By adhering to these requirements, the algorithm identifies situations where both teams are involved in high-scoring games, and the underdog is undervalued based on recent defensive struggles. This approach aims to capitalize on favorable odds and maximize long-term profitability when wagering on road dogs like the Anaheim Ducks. 

Bruins vs Sabres 
7 EST 
7-Unit bet on the Bruins priced as a 140-underdog. 

NHL Divisional Road Underdog Algorithm: Five-Year Performance 

Algorithm Overview 

This NHL betting algorithm targets road underdogs facing divisional opponents, emphasizing specific scheduling and pricing criteria to maximize profitability. Over the past five seasons, the algorithm has delivered a strong 95-85 record, with wagers averaging a +148 underdog price. This approach has generated an impressive 31% return on investment (ROI), rewarding Dime Bettors with $64,510 in profit. 

Algorithm Criteria 

Bet on road underdogs priced between +110 and +200 on the money line. 

The road team must have lost to a divisional rival in their previous game. 

The road team is playing their third game within the past seven days. 

Enhanced Second-Half Season Performance 

When these criteria are applied specifically to games occurring in the second half of the NHL regular season, profitability increases even further. In this subset, the algorithm produces a remarkable 52-39 record, with wagers still averaging a +148 underdog price. This results in a 41% ROI and earns the Dime Bettor $44,710 in profit across the same five-year period. 

Marlins vs Dodgers 
3:10 EST 
7-Unit bet on the Marlins priced as a 180-underdog. 

MLB High-Value Underdog Algorithm: Marlins vs Dodgers Analysis 

Algorithm Performance and Criteria 

This MLB betting algorithm has compiled an 85-140 record, resulting in a 38% win rate. Despite this modest winning percentage, the approach remains highly profitable due to the average underdog bet priced at +218. Since 2010, Dime Bettors have earned $52,660 in profit, and casual fans wagering $50 per game have collected $2,680. The algorithm follows specific criteria: 

Bet on an underdog priced at +150 or higher. 

The team must have been listed as a +180 or higher underdog in each of its previous two games. 

The team won its most recent game. 

The current matchup is not the opening game of a series. 

Series Recap and Current Matchup 

Throughout this series, the Marlins have been selected in the first two games with successful results. In Game 1, the Dodgers managed a dramatic late-game comeback, prevailing in 10 innings after the Marlins entered as a +225 underdog. The Marlins responded in Game 2 with a victory as a +250 underdog. For the current game, Miami will feature veteran pitcher Sandy Alcantara on the mound, presenting another strategic opportunity based on the algorithm’s requirements.