The latest articles on DEV Community by migach92 (@migach92). https://dev.to/migach92 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3896308%2F91b566b9-57c3-4c6a-bc3a-9215e27a4840.png https://dev.to/migach92 en migach92 Fri, 01 May 2026 06:17:22 +0000 https://dev.to/migach92/-1oil https://dev.to/migach92/-1oil <div class="ltag__link--embedded"> <div class="crayons-story "> <a href="https://dev.to/migach92/how-i-built-a-sports-betting-edge-scanner-nhl-nba-value-bets-with-python-polymarket-forebet-4l2e" class="crayons-story__hidden-navigation-link">How I Built a Sports Betting Edge Scanner: NHL &amp; NBA Value Bets with Python, Polymarket &amp; Forebet</a> <div class="crayons-story__body crayons-story__body-full_post"> <div class="crayons-story__top"> <div class="crayons-story__meta"> <div class="crayons-story__author-pic"> <a href="/migach92" class="crayons-avatar crayons-avatar--l "> <img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3896308%2F91b566b9-57c3-4c6a-bc3a-9215e27a4840.png" alt="migach92 profile" class="crayons-avatar__image" width="420" height="420"> </a> </div> <div> <div> <a href="/migach92" class="crayons-story__secondary fw-medium m:hidden"> migach92 </a> <div class="profile-preview-card relative mb-4 s:mb-0 fw-medium hidden m:inline-block"> migach92 <div id="story-author-preview-content-3594293" class="profile-preview-card__content crayons-dropdown branded-7 p-4 pt-0"> <div class="gap-4 grid"> <div class="-mt-4"> <a href="/migach92" class="flex"> <span class="crayons-avatar crayons-avatar--xl mr-2 shrink-0"> <img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3896308%2F91b566b9-57c3-4c6a-bc3a-9215e27a4840.png" class="crayons-avatar__image" alt="" width="420" height="420"> </span> <span class="crayons-link crayons-subtitle-2 mt-5">migach92</span> </a> </div> <div class="print-hidden"> Follow </div> <div class="author-preview-metadata-container"></div> </div> </div> </div> </div> <a href="https://dev.to/migach92/how-i-built-a-sports-betting-edge-scanner-nhl-nba-value-bets-with-python-polymarket-forebet-4l2e" class="crayons-story__tertiary fs-xs"><time>May 1</time><span class="time-ago-indicator-initial-placeholder"></span></a> </div> </div> </div> <div class="crayons-story__indention"> <h2 class="crayons-story__title crayons-story__title-full_post"> <a href="https://dev.to/migach92/how-i-built-a-sports-betting-edge-scanner-nhl-nba-value-bets-with-python-polymarket-forebet-4l2e" id="article-link-3594293"> How I Built a Sports Betting Edge Scanner: NHL &amp; NBA Value Bets with Python, Polymarket &amp; Forebet </a> </h2> <div class="crayons-story__tags"> <a class="crayons-tag crayons-tag--monochrome " href="/t/python"><span class="crayons-tag__prefix">#</span>python</a> <a class="crayons-tag crayons-tag--monochrome " href="/t/datascience"><span class="crayons-tag__prefix">#</span>datascience</a> <a class="crayons-tag crayons-tag--monochrome " href="/t/api"><span class="crayons-tag__prefix">#</span>api</a> <a class="crayons-tag crayons-tag--monochrome " href="/t/sports"><span class="crayons-tag__prefix">#</span>sports</a> </div> <div class="crayons-story__bottom"> <div class="crayons-story__details"> <a href="https://dev.to/migach92/how-i-built-a-sports-betting-edge-scanner-nhl-nba-value-bets-with-python-polymarket-forebet-4l2e" class="crayons-btn crayons-btn--s crayons-btn--ghost crayons-btn--icon-left"> <div class="multiple_reactions_aggregate"> <span class="multiple_reactions_icons_container"> <span class="crayons_icon_container"> <img src="https://assets.dev.to/assets/fire-f60e7a582391810302117f987b22a8ef04a2fe0df7e3258a5f49332df1cec71e.svg" width="24" height="24"> </span> </span> <span class="aggregate_reactions_counter">1<span class="hidden s:inline"> reaction</span></span> </div> </a> <a href="https://dev.to/migach92/how-i-built-a-sports-betting-edge-scanner-nhl-nba-value-bets-with-python-polymarket-forebet-4l2e#comments" class="crayons-btn crayons-btn--s crayons-btn--ghost crayons-btn--icon-left flex items-center"> Comments <span class="hidden s:inline">Add Comment</span> </a> </div> <div class="crayons-story__save"> <small class="crayons-story__tertiary fs-xs mr-2"> 1 min read </small> <span class="bm-initial"> </span> <span class="bm-success"> </span> </div> </div> </div> </div> </div> </div> migach92 Fri, 01 May 2026 04:58:06 +0000 https://dev.to/migach92/how-i-built-a-sports-betting-edge-scanner-nhl-nba-value-bets-with-python-polymarket-forebet-4l2e https://dev.to/migach92/how-i-built-a-sports-betting-edge-scanner-nhl-nba-value-bets-with-python-polymarket-forebet-4l2e <blockquote> <p><strong>The hustle is real:</strong> ⛹️‍♂️ I'm on a quest to find that sweet spot where data science outsmarts the sports prediction market. If you're into <strong>Python</strong>, <strong>sports analytics</strong>, or just love a good side project, you're in the right place.</p> </blockquote> <h2> The "Aha!" Moment 💡 </h2> <p>I've always been a fan of hockey (NHL) and basketball (NBA). It struck me that there are two completely independent worlds: the statistical prediction models of <strong>Forebet</strong> and the live, opinion-driven prices on <strong>Polymarket</strong>. </p> <p>Logically, if Forebet's model says the Boston Bruins have a <strong>62% chance</strong> to win, but the Polymarket price implies only a <strong>56% chance</strong>, there might be a <strong>value bet</strong>. I wanted a way to automatically spot these disagreements without manually checking 20+ websites every day.</p> <p>That's when <a href="https://github.com/migach92/my_scaner_nhl-nba" rel="noopener noreferrer"><strong>Value Bet Scanner: Forebet vs Polymarket</strong></a> was born. </p> <h2> What Does It Do? 🛠️ </h2> <p>This Python project:</p> <ol> <li> <strong>Scrapes</strong> upcoming NHL or NBA matches from <strong>Forebet.com</strong>. (Forebet provides a probability estimate based on their statistical model)</li> <li> <strong>Fetches</strong> the current <strong>Moneyline markets</strong> from the <strong>Polymarket Gamma API</strong> (the real-time prediction market prices).</li> <li> <strong>Matches</strong> team names with <strong>fuzzy logic</strong> (because "Boston Bruins" vs "bruins" shouldn't be a human problem).</li> <li> <strong>Calculates</strong> the percentage difference.</li> <li> <strong>Flags</strong> any discrepancy greater than a <strong>configurable threshold</strong> (default <strong>5%</strong>) as a potential value signal.</li> </ol> <p>The output is a clean terminal table showing you exactly where the potential edge is.</p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code> bash python nhl_scanner.py All matched matches: Boston Bruins vs Buffalo Sabres Forebet: 62.0% / 38.0% Polymarket: 56.0% / 44.0% Difference: Boston +6.0%, Buffalo -6.0% VALUE SIGNALS (diff ≥ 5%) #1 Boston Bruins vs Buffalo Sabres Bet on: Boston Bruins Forebet: 62.0% Polymarket: 56.0% (price 0.560) Value: +6.0% https://polymarket.com/event/... </code></pre> </div> python datascience api sports