Author: procomputergambler

Tom H is the founder and lead analyst of ProComputerGambler.com, a long-running platform dedicated to data-driven sports betting insights. With more than a decade of experience building statistical models, tracking market behavior, and developing proprietary betting systems, Tom has established a reputation for disciplined analytics and transparent performance tracking. He combines rigorous data collection with practical wagering strategies to deliver actionable selections, system reports, and game projections to subscribers. His work emphasizes accuracy, verification, and long-term profitability grounded in advanced quantitative methods.
  • Do Bigger MLB Favorites Win By Larger Margins?

    Do Bigger MLB Favorites Win By Larger Margins?

    Analysis of MLB games indicates larger favorites win more consistently but with modest margins compared to mid-range and pick’em games.

  • How Big Is Home Field Advantage in MLB?

    How Big Is Home Field Advantage in MLB?

    Home teams in MLB win 53.7% of games, indicating a modest advantage, but betting blindly yields no profit.

  • How Often Do MLB Favorites Win?

    How Often Do MLB Favorites Win?

    Despite winning 58.2% of MLB games, betting on favorites results in negative long-term returns due to aggressive sportsbook pricing.

  • How Efficient Is The MLB Betting Market?

    MLB First Inning Scoring Percentage Since 2004 (NRFI vs YRFI)

    Over half of MLB games feature a first-inning run, with slightly less than half showing no run scored.

  • Are MLB Underdogs Profitable?

    Are MLB Underdogs Profitable?

    Many sports bettors are attracted to underdogs because they offer plus-money payouts. The idea is that occasional big wins can offset the lower win percentage. But does this strategy actually work in the long run? To answer this question, we analyzed all MLB underdogs since 2004. Historical Results SU: 20,882–29,390Win Rate: 41.5%ROI: -3.2%Profit/Loss: -$160,917 Underdogs win…

  • How Efficient Is The MLB Betting Market?

    How Efficient Is The MLB Betting Market?

    Analysis of MLB betting results shows that sportsbooks set efficient odds, aligning win rates closely with expected probabilities.

  • MLB One-Run Game Betting Trends Since 2004

    MLB One-Run Game Betting Trends Since 2004

    Over 28% of MLB games end with one-run margins, influencing betting strategies and highlighting favorites’ struggle for profitability.

  • MLB Big Favorites Betting Results Since 2004

    MLB Big Favorites Betting Results Since 2004

    Heavy favorites in baseball win over 70% of games, offering minimal ROI; fading them results in significant losses.

  • MLB Teams After Scoring One Run Or Less

    MLB Teams After Scoring One Run Or Less

    Teams with poor offensive performances win just under half their next games, and betting on them yields negative ROI.

  • MLB Teams After Being Shut Out

    MLB Teams After Being Shut Out

    Teams shut out in a game seldom rebound successfully, leading to unprofitable betting outcomes despite common assumptions about motivation.

  • MLB Home Favorites

    MLB Home Favorites

    Road underdogs win 41% of games, but blindly betting them results in negative ROI despite higher payouts.

  • MLB Home Favorites Betting Results Since 2004

    MLB Home Favorites Betting Results Since 2004

    Home favorites win 59% of games, but betting on them blindly leads to negative ROI, indicating efficient sportsbook pricing.

  • MLB Teams After Blowout Loss Betting Results Since 2004

    MLB Teams After Blowout Loss Betting Results Since 2004

    One of the most common narratives in sports betting is the idea that teams are likely to bounce back after a bad loss. When a team loses by a large margin, many bettors assume they will respond with a stronger performance in the next game. In Major League Baseball, this concept often appears after blowout losses,…

  • MLB Teams After Extra-Inning Games Betting Results

    MLB Teams After Extra-Inning Games Betting Results

    Extra-inning games show no significant betting advantage, as sportsbooks account for fatigue, resulting in nearly equal win rates and negative ROI.

  • MLB Teams After Scoring 10+ Runs Betting Results

    MLB Teams After Scoring 10+ Runs Betting Results

    Teams scoring 10+ runs in MLB rarely provide betting advantages, as sportsbooks adjust lines to reflect recent performances, leading to negative ROI.

  • MLB Runline Betting Trends Since 2004

    MLB Runline Betting Trends Since 2004

    Runline betting in MLB shows underdogs cover more often but sportsbooks adjust pricing, leading to overall negative ROI for blind bets.

  • MLB Home Underdog Betting Results Since 2004

    MLB Home Underdog Betting Results Since 2004

    Home underdogs in MLB show a win rate of 43.1%, but historically yield a negative ROI of -3.1% when bet blindly.

  • MLB Favorites vs Underdogs Betting Results Since 2004

    MLB Favorites vs Underdogs Betting Results Since 2004

    MLB betting analysis from 2004 to 2024 reveals both favorites and underdogs show negative ROI, emphasizing the importance of situational analysis for profitable betting.

  • MLB Situational Betting Trends Since 2004

    MLB Situational Betting Trends Since 2004

    Baseball betting heavily relies on game situations, but sportsbooks efficiently price most factors, limiting profitable betting opportunities.

  • MLB Betting Market Analysis Since 2004

    MLB Betting Trends Since 2004 (Market Analysis)

    Analyzing MLB betting markets since 2004 reveals underdogs outperforming favorites and highlights inefficiencies in traditional betting strategies.

  • Can You Make a Living Betting on Sports? The Reality

    Can You Make a Living Betting on Sports?

    For many bettors, the dream is simple. Beat the sportsbooks consistently.Generate steady profits.Turn sports betting into a full-time income. Stories about legendary gamblers and betting syndicates make the idea even more appealing. Names like Billy Walters and various computer betting groups have become almost mythical in gambling circles. But an important question remains: Can you actually…

  • How Professional Sports Bettors Actually Make Money

    How Professional Sports Bettors Actually Make Money

    Many people are fascinated by the idea of professional sports bettors. Stories about legendary gamblers, betting syndicates, and mysterious “computer groups” have circulated for decades. Some bettors imagine professional gambling as a world of inside information and secret picks that guarantee easy profits. The reality is very different. Professional sports betting is not about guessing winners…

  • Closing Line Value (CLV): The Most Important Metric in Sports Betting

    Closing Line Value (CLV): The Most Important Metric in Sports Betting

    Most bettors judge success by one thing: Did the bet win or lose? But professional bettors evaluate wagers very differently. Instead of focusing only on short-term results, they look at something far more important: Closing Line Value, often called CLV. Many experienced bettors believe that consistently beating the closing line is one of the strongest indicators…

  • Do Sports Betting Picks Actually Work?

    Do Sports Betting Picks Actually Work?

    The internet is filled with sports betting picks. Every day, hundreds of websites, tipsters, and handicapping services publish selections promising to beat the sportsbooks. Some claim: For new bettors, the offer sounds simple. Subscribe to a picks service.Follow the selections.Make money. But there is an important question that rarely gets discussed honestly: Do sports betting picks…

  • Sports Betting Systems: Do They Actually Work?

    Sports Betting Systems: Do They Actually Work?

    The idea of a sports betting system is incredibly appealing. Find the right formula.Follow the rules.Place the bets. And in theory, the profits should follow. The sports betting industry has been selling this promise for decades. Thousands of systems have been marketed through newsletters, websites, and betting services claiming to have discovered a reliable edge against…

  • Huge Home Dogs Off A Loss (Since 1989)

    Huge Home Dogs Off A Loss (Since 1989)

    This NBA betting system focuses on large home underdogs coming off losses, exploiting market biases for consistent value and success.

  • NHL Divisional Teams Off a Win vs Opponent Off Two Road Wins (Since 2010)

    NHL Divisional Teams Off a Win vs Opponent Off Two Road Wins (Since 2010)

    A profitable NHL betting strategy since 2010 focuses on teams winning divisional games against fatigued opponents after consecutive road victories.

  • Early-Season MLB Underdogs Below .500 (2004–Present Performance Study)

    Early-Season MLB Underdogs Below .500 (2004–Present Performance Study)

    MLB teams under .500 in April are undervalued, creating profitable betting opportunities despite early-season win percentage instability.

  • CFL Betting Systems and Trends with SDQL

    CFL Trends

    Home dogs perform well ATS early in the season, while favored teams struggle after recent covers. Good offenses favor UNDER bets.

  • NCAAB Coaching Trends

    NCAAB Coaching Trends

    Rick Byrd struggles with Belmont; Greg Lansing excels with INDST; Marty Wilson’s Pepperdine fares poorly post-win; San Francisco thrives under Rex Walters.

  • NHL Coaching Trends

    NHL Coaching Trends

    Claude Julien has a strong road record with the Bruins, winning 60.8% of early-season games with totals over 5.

  • NCAAB Betting Systems and Trends with SDQL

    NCAABB Trends

    #001 Since 2007, teams off of two or more straight home wins facing a team off of a double digit upset as dogs are 165-81 (67.1%) SU. #002 Vanderbilt is 27-8 ATS under head coach Kevin Stallings after a game where they made less than 55% of their free throws attempted.

  • NCAAB Team Betting Systems and Trends with SDQL

    NCAABB Team Trends

    #001 Since 2008, St. Louis is 45-20-1 ATS after winning 5 or more of their last 7 games.

  • NBA Coaching Trends

    NBA Coaching Trends

    #001 Under head coach Darryl Sutter, the LA Kings are 49-16-16 (75.4%) UNDER the total vs. sub .500 teams.  #002 Under Randy Wittman, the Wizards are 39-19-2 (67.2%) ATS on the road with a fairly good amount of rest.

  • NCAAF Betting Systems and Trends with SDQL

    NCAAF Trends

    Historical betting trends since 2008 show profitable strategies for specific team scenarios and coaching situations in football.

  • NHL Team Betting Systems and Trends with SDQL

    NHL Team Trends

    #001 The Kings are 68-30-18 UNDER the total (-0.69 gpg, 68.4%) when facing poor defenses. #002 The Oilers are 117-253 -58.14 units since Dec 12, 2006 as a dog after a loss #003 The Ducks are 169-77 since Mar 29, 2007 as a favorite after a win #004 The Rangers are 8-19 since Nov 19, 2015 after a win. This sports…

  • NCAAF Team Betting Systems and Trends with SDQL

    NCAAF Team Trends

    #001 Oregon is 16-3-0 OVER (+6.76 ppg, 84.2%) the total under head coach Chip Kelly after covering 4 or more of their last 6 games. On January 3rd, 2013, Oregon will face Kansas St. with a massive 75.5 O/U line. #002 Alabama is 14-2 (+19.06, 87.5%) SU under head coach Nick Saban at home after four or more…

  • NCAAF Coaching Betting Systems and Trends with SDQL

    NCAAF COACHING TRENDS

    #001 Bobby Hauck is 1-13 ATS with UNLV on the road Here’s something to consider for the next week of College football: Bobby Hauck is a nasty 0-14-0 (-33.79 ppg) SU and 1-13-0 (-14.07 ppg, 7.1%) ATS average line: +19.7 on the road with UNLV.  #002 Mike Gundy is O/U: 29-10-0 (+9.56 ppg, 74.4%) as the head coach…

  • MLB Trends

    MLB Trends

    Various betting systems and trends reveal profitable strategies for MLB games based on team performance, odds, and specific conditions.

  • NFL Trends

    NFL Trends

    #001 Since 2005, Road teams that haven’t made the playoffs in 3+ years off of a road loss are 28-13-1 (68.3%) ATS. #002 The League is 61-29 SU and 56-29-5 (65.9%) ATS since 2009 in this same situation when on the road for between +4 and -4 points. #003 Since 1990, home favorites in week one are 40-16-5 (+5.69…

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