{"id":1101,"date":"2026-05-05T11:47:03","date_gmt":"2026-05-05T11:47:03","guid":{"rendered":"https:\/\/webprimesolutions.com\/coach\/?p=1101"},"modified":"2026-05-05T11:47:03","modified_gmt":"2026-05-05T11:47:03","slug":"what-return-on-investment-really-means-for-us-bettors","status":"publish","type":"post","link":"https:\/\/webprimesolutions.com\/coach\/2026\/05\/05\/what-return-on-investment-really-means-for-us-bettors\/","title":{"rendered":"What Return on Investment Really Means for US Bettors"},"content":{"rendered":"<p>Calculate Your Betting ROI With a Simple US Equity Calculator<\/p>\n<p>Understanding your betting performance requires more than just tracking wins and losses\u2014it demands a clear metric like ROI. A Betting ROI Calculator for US-based bettors simplifies this by converting your net profit into a precise percentage, helping you evaluate the true efficiency of your wagering strategy. Use this tool to make informed decisions and <strong>maximize your long-term returns<\/strong> in American odds markets.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"Betting ROI calc US-tung\" 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\"\/><\/p>\n<h2>What Return on Investment Really Means for US Bettors<\/h2>\n<p>For US bettors, <strong>return on investment<\/strong> is the single clearest measure of long-term profitability, far more critical than any single win or loss. It represents the percentage of profit you generate relative to the total amount wagered, not your bankroll\u2019s size. True expert advice focuses on achieving a positive ROI over hundreds of bets, which means identifying market inefficiencies and employing disciplined stake management. A consistent 2\u20135% ROI is considered elite, separating professionals from recreational gamblers who chase short-term luck. Without tracking this metric, you cannot objectively evaluate your strategies or know if you are beating the bookmakers\u2019 built-in margin. Ultimately, ROI reveals whether your time, research, and capital are yielding a genuine edge or simply feeding the house\u2019s inherent advantage. Ignore flashy parlays and focus on <strong>sustainable ROI growth<\/strong> for lasting success.<\/p>\n<h3>Breaking Down the Basic Formula for Sports Wagering ROI<\/h3>\n<p>For US bettors, <strong>sports betting ROI calculation<\/strong> isn\u2019t just about cashing a ticket\u2014it\u2019s the real measure of whether you\u2019re beating the market or just donating to books. ROI tells you how much profit you\u2019re making relative to every dollar wagered, filtering out the noise of big wins or losses. A positive ROI means your betting strategy consistently edges the sportsbook\u2019s juice, while a negative one signals you\u2019re paying for entertainment. To get a clear picture, you\u2019ve got to track every bet\u2014not just the winners\u2014and factor in the vig. Without that, you\u2019re guessing, not gambling smart.<\/p>\n<ul>\n<li>Track total stakes and total returns over at least 100 bets for reliable data.<\/li>\n<li>Aim for a long-term ROI above 2% to offset standard -110 odds.<\/li>\n<li>Use units instead of dollar amounts to measure performance across different bankrolls.<\/li>\n<\/ul>\n<h3>Why ROI Matters More Than Win-Loss Records<\/h3>\n<p>For US bettors, <strong>return on investment (ROI) in sports betting<\/strong> is the single metric that separates recreational play from professional strategy. ROI measures net profit against total money wagered, not a single win. A bettor risking $10,000 to earn $500 has a 5% ROI\u2014a clear indicator of long-term discipline, not a lucky weekend. To achieve this, experts focus on consistent edge rather than parlay fantasies.<\/p>\n<ul>\n<li><strong>Stake management<\/strong>: Bet 1\u20132% of your bankroll per wager to survive variance.<\/li>\n<li><strong>Line shopping<\/strong>: Compare odds across multiple sportsbooks; a -110 vs. -105 difference improves ROI by 2% over time.<\/li>\n<li><strong>Market focus<\/strong>: Master one sport (e.g., NFL props) rather than betting every game.<\/li>\n<\/ul>\n<p><strong>Q: Can a 100% win rate equal bad ROI?<\/strong> Yes\u2014if your stake is too high, a single loss wipes gains. ROI rewards sustainable risk, not perfect picks.<\/p>\n<h3>The Difference Between Gross Profit and Net Return<\/h3>\n<p>For US bettors, <strong>Return on Investment (ROI) in sports betting<\/strong> measures the profitability of wagers relative to the total amount risked. It is calculated by dividing net profit by total stakes, then multiplying by 100. A positive ROI indicates long-term success, while a negative one signals losses. Unlike a single lucky win, ROI reflects the efficiency of a betting strategy over time. Key factors influencing ROI include:<\/p>\n<ul>\n<li>Line shopping for better odds<\/li>\n<li>Managing <mark>bankroll<\/mark> discipline<\/li>\n<li>Understanding implied probability vs. true odds<\/li>\n<\/ul>\n<p>A consistent ROI of 5\u201310% is considered strong in US sports betting, as it accounts for the inherent house edge and short-term variance.<\/p>\n<h2>How to Calculate Your Wagering Efficiency Step by Step<\/h2>\n<p>Once, I was a gambler chasing luck, until I learned the quiet power of wagering efficiency. Start by tracking your total bets placed and total money spent over a month, then calculate your net profit or loss. Divide that net profit by your total wager amount to find your yield. Multiply that by 100 for a percentage\u2014your true win rate. Next, measure your average win size and frequency; divide total wins by total bets for your hit rate. Multiply your hit rate by your yield, then subtract the house edge or vig. A positive result means you&#8217;re beating the odds. For example, if you risk $1,000 over 100 bets, win $100, your yield is 10%. With a 40% hit rate, your efficiency index becomes 4%\u2014a solid <strong>wagering efficiency<\/strong> that signals smart, calculated play. That number, over time, reveals if your strategy is truly profitable or just a fleeting streak.<\/p>\n<h3>Gathering the Right Data: Stakes, Payouts, and Losses<\/h3>\n<p>To calculate your wagering efficiency, first determine your total stake by adding all bets placed over a set period. Next, subtract your total returns from this stake to find your net loss or profit. Then, divide the net result by the total stake and multiply by 100 to express it as a percentage. <strong>This yields your return on investment (ROI)<\/strong>, a key efficiency metric. A positive percentage indicates profit, while a negative one signals loss. <em>Tracking this figure consistently reveals patterns in your betting strategy.<\/em> For example, a $500 stake with $600 returns yields a 20% efficiency. Compare this against benchmarks to gauge performance.<\/p>\n<h3>Using Total Amount Wagered Versus Total Money Returned<\/h3>\n<p>To calculate your wagering efficiency, first define your total stake as the sum of all bets placed. Next, record your net profit or loss after all wagers are settled. <strong>Evaluate your return on investment (ROI)<\/strong> by dividing net profit by total stake, then multiplying by 100 for a percentage. A positive ROI indicates efficiency. For a more granular view, compute your win rate by dividing winning bets by total bets, but note this alone ignores odds. Finally, track the average odds you take\u2014higher odds require a lower win rate for efficiency. Combining these metrics provides a clear picture of your wagering performance. Use a simple <\/p>\n<table>\n<tr>\n<th>Metric<\/th>\n<th>Formula<\/th>\n<th>Example<\/th>\n<\/tr>\n<tr>\n<td>ROI<\/td>\n<td>(Profit \/ Stake) \u00d7 100<\/td>\n<td>($50 \/ $500) = 10%<\/td>\n<\/tr>\n<tr>\n<td>Win Rate<\/td>\n<td>Wins \/ Total Bets<\/td>\n<td>40 \/ 100 = 40%<\/td>\n<\/tr>\n<\/table>\n<h3>A Simple Example with American Odds and Decimal Conversions<\/h3>\n<p>To calculate your wagering efficiency, start by tracking your total stakes\u2014sum every unit you\u2019ve bet across a defined period. Next, record your net profit or loss after deducting all stakes from total returns. Divide your net profit by total stakes, then multiply by 100 to express it as a percentage. This figure is your <strong>return on investment (ROI)<\/strong>, the primary metric for efficiency. A positive ROI indicates profitable betting; a negative one signals a losing strategy. For deeper insight, calculate your hit rate by dividing winning bets by total bets, and your average odds by summing all odds then dividing by bet count. Compare these against your ROI to isolate strengths\u2014like high win frequency with low yields versus rare but high-value wins. Consistent tracking reveals whether your edge stems from selection accuracy or odds exploitation, guiding smarter adjustments.<\/p>\n<h2>Key Metrics That Influence Your Bottom Line<\/h2>\n<p>To truly optimize profitability, you must track more than just revenue. Customer Acquisition Cost (CAC) relative to Lifetime Value (LTV) is the single most critical ratio; a healthy business typically maintains an LTV that is three to five times its CAC. Equally vital is monitoring your <strong>gross profit margin<\/strong>, as it reveals the true efficiency of your core operations after direct costs. Furthermore, your monthly churn rate\u2014often overlooked\u2014directly erodes revenue, while net promoter score (NPS) serves as a forward-looking <strong>indicator of sustainable growth<\/strong>.<\/p>\n<blockquote><p>Never ignore the cash conversion cycle; if your money is tied up in inventory or receivables longer than it takes to sell, your bottom line will suffer from hidden liquidity costs.<\/p><\/blockquote>\n<h3>Hit Rate vs. Profit Margin: Which Tells the Real Story?<\/h3>\n<p>Keeping an eye on key metrics is the fastest way to protect your bottom line. <strong>Customer acquisition cost (CAC)<\/strong> tells you exactly how much you spend to gain a new customer, and when it climbs above your average profit per client, you&#8217;re burning cash. Pair that with <strong>customer lifetime value (LTV)<\/strong>\u2014the total revenue you can expect from a single account. A healthy LTV should be at least three times your CAC. Don&#8217;t ignore <strong>monthly recurring revenue (MRR)<\/strong> if you run a subscription business; a sudden drop here spells trouble fast. Gross margin also matters: if your cost of goods sold eats up more than 60% of revenue, your pricing or expenses need a close look.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"602px\" alt=\"Betting ROI calc US-tung\" 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\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\"\/><\/p>\n<p><strong>Quick Q&#038;A:<\/strong><br \/><em>Q: Which metric should I check first each week?<\/em><br \/><em>A: Start with MRR or gross margin\u2014they reveal if your core operations are making or losing money before you dig into customer behavior.<\/em><\/p>\n<h3>Average Odds Per Bet and Their Impact on Returns<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"604px\" alt=\"Betting ROI calc US-tung\" 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\"\/><\/p>\n<p>Focusing on metrics like Customer Lifetime Value (CLV) and Customer Acquisition Cost (CAC) directly impacts profitability. A healthy CLV-to-CAC ratio (ideally 3:1) ensures you earn more from a customer than you spend to acquire them. <strong>Gross profit margin<\/strong> reveals pricing and efficiency gaps, while churn rate signals retention problems. Monitor these key levers:<\/p>\n<ul>\n<li>Net Profit Margin: Your actual earnings after all expenses.<\/li>\n<li>Inventory Turnover: How quickly stock sells, affecting cash flow.<\/li>\n<li>Conversion Rate: Percentage of leads becoming paying customers.<\/li>\n<\/ul>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"Betting ROI calc US-tung\" 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\"\/><\/p>\n<p>Track these weekly to prevent revenue leaks and allocate budget to high-ROI channels.<\/p>\n<h3>Bankroll Growth Rate as a Complementary Measure<\/h3>\n<p>Your bottom line hinges on a few critical, dynamic numbers. Customer Acquisition Cost (CAC) directly eats into profit; if you spend more to win a client than they bring in, you\u2019re bleeding cash. Equally vital is Customer Lifetime Value (LTV), which reveals the total revenue you can expect from a single account. The magic ratio lies in LTV-to-CAC; a healthy business typically sees an LTV three times higher than its CAC. Meanwhile, your <strong>gross profit margin<\/strong> measures the efficiency of your core operations after direct costs. Don\u2019t ignore churn rate\u2014the percentage of customers who leave\u2014as even a small increase can devastate recurring revenue. Monitor these together, and you turn data into a direct accelerator for growth.<\/p>\n<h2>Common Pitfalls When Tracking Your Performance<\/h2>\n<p>One of the most frequent mistakes is focusing solely on metrics that are easy to track, like daily word count or pages read, while ignoring the actual quality of comprehension or retention. This creates a false sense of progress. Another critical error is neglecting to set specific, measurable goals tied to your broader learning objectives, leading to aimless data collection. Additionally, many learners fail to schedule consistent, periodic reviews of their performance data, so they miss crucial trends. <strong>The key to effective performance tracking<\/strong> is to establish a balanced dashboard that includes both quantitative data and qualitative self-assessments. Finally, avoid the pitfall of comparing your baseline to someone else\u2019s peak performance, as this demotivates and distorts your unique growth trajectory. <strong>Consistent, holistic tracking transforms raw data into actionable insight<\/strong> for targeted improvement.<\/p>\n<h3>Mixing Cash Flow with ROI: Why They\u2019re Not the Same<\/h3>\n<p>Tracking your performance can backfire if you obsess over vanity metrics like page views instead of <strong>actionable conversion data<\/strong>. Many people also fall into the trap of measuring too frequently, drowning in noise rather than spotting real trends. A common mistake is ignoring context\u2014a 10% drop in sales might look awful, but if it happened during a site migration, it\u2019s not a failure. Finally, avoid the pitfall of setting vague goals; \u201cget more traffic\u201d tells you nothing. Instead, benchmark specific KPIs and audit your data sources for accuracy. Without clear, contextual targets, your tracking becomes a useless distraction.<\/p>\n<h3>Ignoring the Vig and Its Effect on Net Results<\/h3>\n<p>Tracking your progress is awesome, but it\u2019s easy to fall into traps. <strong>Ignoring context around your performance data<\/strong> is a big one\u2014raw numbers like word count or hours studied mean little if you don\u2019t note how you felt, what you did, or external distractions. Another pitfall is obsessing over daily fluctuations, which can kill motivation. Consistency over weeks matters way more. People also forget to set clear, specific goals, so they end up measuring the wrong <a href=\"https:\/\/www.sharkbetting.com\/calculators\/roi\">betting roi calculator<\/a> things. <em>You can\u2019t improve what you don\u2019t properly define.<\/em> Finally, avoid comparing your chapter one to someone else\u2019s chapter twenty; that\u2019s a fast track to discouragement.<\/p>\n<h3>Including or Excluding Bonuses and Promotional Credits<\/h3>\n<p>Early on, I treated performance tracking as a simple scoreboard\u2014jotting down wins and losses without context. That was my first mistake. The <strong>vanity metrics trap<\/strong> made me feel productive while hiding real stagnation. I logged hours studied but never tested retention, confusing activity with progress. Then came comparison: scrolling others&#8217; flawless dashboards convinced me my slow crawl was failure. I abandoned routines weekly, chasing shiny new systems. Only by stripping my tracking down to <mark>actionable insights<\/mark>\u2014like &#8220;what mistake patterns repeat?&#8221;\u2014did I stop chasing numbers and start seeing growth. Today, I focus on one metric per week, ignore polished peer charts, and celebrate small consistency over grand leaps.<\/p>\n<h2>Tools and Spreadsheets for American Sports Bettors<\/h2>\n<p>For the modern American sports bettor, having the right tools is like having a cheat code for the books. You absolutely need a reliable sportsbook app with a fast cash-out feature, but the real edge comes from pairing it with a dynamic spreadsheet. Track every single wager\u2014the sport, stake, odds, and result\u2014to calculate your win rate and <strong>expected value<\/strong>. This data-driven approach helps you spot where you\u2019re bleeding money (looking at you, live underdog parlays) and where you\u2019re crushing it. Many bettors also use shared Google Sheets to monitor line shopping across multiple books, ensuring they lock in the best number. Don&#8217;t forget a simple bankroll tracker to avoid chasing losses.<\/p>\n<blockquote><p>The key to long-term profits is treating sports betting like a business, not a hobby.<\/p><\/blockquote>\n<p>By logging everything from NBA spreads to NFL teasers, you turn gut feelings into hard data. This habit separates casual fiends from <strong>serious bettors<\/strong>. Your future self\u2014and your wallet\u2014will thank you.<\/p>\n<h3>Building a Custom ROI Tracker in Excel or Google Sheets<\/h3>\n<p>For American sports bettors, the right tools transform raw data into a winning edge. <strong>Modern betting spreadsheets integrate real-time odds scraping<\/strong> to track line movements across sportsbooks like DraftKings and FanDuel. A sharp bettor\u2019s arsenal includes a Kelly Criterion calculator for stake sizing, a betting journal to log win\/loss rates, and a bankroll tracker to prevent tilt. Pair these with a dynamic spreadsheet that auto-calculates implied probabilities from multiple books, instantly spotting arbitrage opportunities or +EV lines. Tools like OddsJam or Unabated sync directly with your sheet for lightning-fast analysis.<\/p>\n<p><strong>Q: What&#8217;s the most underrated spreadsheet feature for beginners?<\/strong><br \/>A: A simple &#8220;Units Won\/Lost&#8221; column. It forces you to standardize bet sizes\u2014stopping you from chasing losses with reckless wagers.<\/p>\n<h3>Using Online Calculators Designed for US Odds Formats<\/h3>\n<p>The first time I cracked into a professional betting syndicate\u2019s workflow, I realized my gut was useless without a spreadsheet. <strong>Data-driven bankroll management separates winners from gamblers.<\/strong> I now track every wager with a Google Sheet that calculates Kelly Criterion stakes, logs line movement velocities, and runs a <mark>ROI heat map<\/mark> across five sportsbooks. Smarter bettors lean on specialized tools:<\/p>\n<ul>\n<li><strong>OddsJam<\/strong> for real-time arbitrage alerts<\/li>\n<li><strong>BetMaestro<\/strong> for automated closing-line value tracking<\/li>\n<li><strong>Action Network PRO<\/strong> with syncable parlay calculators<\/li>\n<\/ul>\n<p>Every sharp player I know maintains a \u201cbrutal honesty\u201d column in their logs\u2014a space to flag emotional decisions. Without that digital backbone, my bankroll was just a fading number; now the spreadsheet hums like a quiet engine, turning raw data into cold, repeatable edges.<\/p>\n<h3>Leveraging Mobile Apps to Monitor Live Performance<\/h3>\n<p>For American sports bettors, specialized tools and spreadsheets are essential for gaining a competitive edge and managing bankrolls with precision. <strong>Leveraging sports betting analytics software transforms raw data into actionable insights.<\/strong> Platforms like Action Network or Unabated provide real-time line movement, sharp money percentages, and historical trends, while custom spreadsheets allow you to track unit sizing, win rates, and ROI across leagues. A robust system includes: a ledger for deposits and withdrawals, a bet log with stake and closing line value, and a prop comparison table. This combination eliminates emotional bets, ensuring your strategy is rooted in hard numbers rather than gut feelings, ultimately driving consistent long-term profitability.\n<\/p>\n<h2>Interpreting Your Numbers Across Different Sports<\/h2>\n<p>Interpreting your performance metrics across different sports requires a nuanced understanding of context, as a specific heart rate or distance measurement holds vastly different meanings. For example, a 5:30 per kilometer pace is competitive in amateur road running but might be a recovery jog for a triathlete. To master this, you must analyze the <strong>key performance indicators relevant to each sport&#8217;s demands<\/strong>. A swimmer\u2019s stroke rate (SPM) is critical, while a cyclist focuses on normalized power (NP) and a runner on ground contact time. <em>Comparing raw numbers without sport-specific context leads to flawed training decisions.<\/em> By calibrating your data against established norms and your own personal benchmarks within each discipline, you avoid misinterpreting progress. Always layer your analysis with the intensity and duration of the session for an accurate picture, ensuring that <strong>your training data genuinely drives targeted improvement<\/strong> rather than simply filling a log.<\/p>\n<h3>How Volatility in Football and Basketball Skews ROI<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"607px\" alt=\"Betting ROI calc US-tung\" 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\"\/><\/p>\n<p><strong>Interpreting your numbers across different sports<\/strong> requires contextual analysis, as metrics like speed, power, and endurance vary dramatically between activities. For example, a 40-yard dash time of 4.5 seconds is elite in American football but unremarkable in track sprinting, while a 300-pound bench press signifies top-tier strength in rugby but is common in powerlifting. Heart rate data also diverges: a sustained 180 bpm might indicate peak effort in soccer but a dangerous overexertion in golf. <em>Always compare your statistics against sport-specific benchmarks, not global averages.<\/em> Key variables include:<\/p>\n<ul>\n<li><strong>Volume vs. Intensity:<\/strong> Marathon runners prioritize distance; weightlifters focus on load per rep.<\/li>\n<li><strong>Rest Intervals:<\/strong> Basketball uses short bursts; triathlons demand sustained output.<\/li>\n<li><strong>Body Composition:<\/strong> Swimmers benefit from higher body fat; gymnasts require lean mass.<\/li>\n<\/ul>\n<p>Without this sport-specific lens, raw numbers can mislead progress or risk injury.<\/p>\n<h3>Lower Odds Sports Like Baseball and Their Steadier Returns<\/h3>\n<p>Unlocking your athletic potential hinges on contextual analysis. A 4.5-second 40-yard dash is elite for a wide receiver but pedestrian for a defensive back, while a 28-inch vertical jump signals dominance in basketball yet only competency in volleyball. <strong>Compare performance data across sports to reveal your true athletic ceiling.<\/strong> To interpret your numbers correctly, always account for positional benchmarks and sport-specific demands:<\/p>\n<ol>\n<li>Speed metrics: Track sprinters prioritize acceleration curve; football players focus on 10-yard splits.<\/li>\n<li>Power output: Olympic lifters measure relative strength; baseball hitters value bat speed over raw squat weight.<\/li>\n<li>Agility scores: Soccer defenders need lateral quickness; tennis players require explosive multidirectional recovery.<\/li>\n<\/ol>\n<p>Stop comparing yourself to universal charts\u2014your 27-inch box jump might be average for a point guard but transformative for a hockey forward. <strong>Benchmark your stats against role-specific standards, not generic averages.<\/strong> When you filter metrics through the lens of competition rules, playing surface, and energy system demands, average numbers become elite and elite numbers reveal hidden weaknesses. Own your context, dominate your sport.<\/p>\n<h3>Parlay Betting ROI: The High-Risk, High-Reward Curve<\/h3>\n<p>When you hop between different sports, the numbers can feel like a whole new language. A 4.5 ERA in baseball is terrible, but a 4.5 yards-per-carry in football is pretty solid. The trick is learning what\u2019s considered \u201cgood\u201d in each league. <strong>Understanding sport-specific averages<\/strong> stops you from misreading stats and looking clueless. For example:\n<\/p>\n<ul>\n<li>Basketball: A 50% field goal percentage is elite.<\/li>\n<li>Hockey: A .915 save percentage is starter-worthy.<\/li>\n<li>Soccer: 15 goals in a season is a standout performance.<\/li>\n<\/ul>\n<p>Once you know the baseline for each sport, your numbers actually tell a story instead of just being random digits. Context is king here\u2014without it, you\u2019re just guessing who\u2019s really dominating the game.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"Betting ROI calc US-tung\" 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\"\/><\/p>\n<h2>Setting Realistic Benchmarks for Long-Term Growth<\/h2>\n<p>Setting realistic benchmarks for long-term growth means ditching the shiny, unattainable goals and focusing on steady, repeatable progress. Instead of chasing a 500% spike next quarter, aim for a consistent 10\u201315% month-over-month improvement in core metrics. This approach prevents burnout and gives your team clear, winnable wins. <strong>SEO-friendly content strategies<\/strong> thrive on this patient rhythm, where organic authority builds over months, not days. A key mindset shift is accepting that digital growth isn\u2019t a sprint\u2014it\u2019s a marathon of small, daily optimizations. <\/p>\n<blockquote><p>Anything that promises overnight results will likely hurt your long-term domain health.<\/p><\/blockquote>\n<p> By benchmarking against your own historical data rather than a competitor&#8217;s flashy launch, you build a foundation that survives algorithm updates and market shifts. Remember, compound growth looks boring on a spreadsheet, but it&#8217;s the only path to durable success.<\/p>\n<h3>What a Sustainable ROI Looks Like for Casual Bettors<\/h3>\n<p>For sustainable expansion, setting realistic benchmarks for long-term growth requires aligning incremental goals with your actual operational capacity. Begin by analyzing historical data to identify consistent performance trends, then define milestones that challenge without overwhelming your team. <strong>Measurable key performance indicators<\/strong> should focus on leading metrics\u2014such as customer acquisition cost or retention rates\u2014rather than vague ambitions. <em>Small, consistent wins compound into significant advantages over time.<\/em> Avoid the trap of comparing your trajectory to industry outliers; instead, create a phased roadmap that accounts for resource constraints and market cycles. Regularly review progress in quarterly intervals, adjusting targets based on real-world feedback rather than rigid projections. This approach fosters adaptability and prevents burnout, ensuring your benchmarks remain both aspirational and attainable as your organization evolves.<\/p>\n<h3>Professional Thresholds: Understanding the 2-5% Range<\/h3>\n<p>Setting realistic benchmarks for long-term growth requires anchoring expectations in granular, achievable milestones rather than aspirational endpoints. An expert approach prioritizes <strong>strategic milestone planning<\/strong> by using historical performance data, market trends, and operational capacity as baseline metrics. For example, a business aiming for 20% annual revenue growth should first validate this target against quarterly cash flow consistency and lead conversion rates. Key tactics include:<\/p>\n<ul>\n<li>Breaking annual goals into quarterly or monthly checkpoints with clear KPIs (e.g., customer acquisition cost, churn rate).<\/li>\n<li>Integrating feedback loops to recalibrate benchmarks when external factors (e.g., supply chain shifts) emerge.<\/li>\n<\/ul>\n<p>This phased structure prevents overextension, ensures resource alignment, and fosters sustained momentum. Ultimately, realistic benchmarks serve as navigational tools\u2014guiding action without distorting long-term vision through unrealistic short-term pressure.<\/p>\n<h3>Adjusting Expectations Based on Betting Volume and Size<\/h3>\n<p>Establishing <strong>sustainable business growth metrics<\/strong> requires anchoring your long-term vision in concrete, achievable milestones rather than chasing volatile spikes. Break your five-year plan into digestible quarterly objectives, each tied to specific operational capacities and market data. For example, rather than aiming for a 500% revenue jump, focus on incremental 10\u201315% increases in customer retention or market share. A realistic benchmark framework should include:<\/p>\n<ul>\n<li><strong>Revenue growth:<\/strong> 20% annual increase, aligned with industry averages and reinvestment capacity.<\/li>\n<li><strong>Customer acquisition cost:<\/strong> Stabilize at $X per lead through optimized channels.<\/li>\n<li><strong>Team expansion:<\/strong> Add 2\u20133 core roles per year to avoid burnout.<\/li>\n<li><strong>Product iteration:<\/strong> Release one major feature every 6 months, validated by user feedback.<\/li>\n<\/ul>\n<div style=\"text-align:center\">\n<iframe width=\"569\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/s6R9xB1RdZU\" frameborder=\"0\" alt=\"Betting ROI calc US-tung\" allowfullscreen><\/iframe>\n<\/div>\n<p>This structured approach transforms abstract ambition into a measurable, adaptable roadmap. By honoring your resource constraints and market position, you build momentum that compounds reliably\u2014turning disciplined benchmarks into the foundation of enduring success.<\/p>\n<h2>Advanced Adjustments to Refine Your Calculations<\/h2>\n<p>Once the basic framework of your spreadsheet was in place, I began layering in the advanced adjustments that would turn raw data into a reliable forecast. The first trick was using <strong>named ranges<\/strong> and offset functions to make dynamic selections that auto-expanded with new entries. I then applied <strong>conditional formatting thresholds<\/strong> that would instantly flag any outlier value, saving me hours of manual scanning. By nesting weighted averages with goal-seek scenarios, I could simulate what a five percent rise in material costs would do to our quarterly margins. <em>The true artistry emerged when I linked these calculations to a dropdown menu that let me toggle between conservative and aggressive projections without rewriting a single formula.<\/em> Finally, I locked the critical cells and added data validation rules, ensuring no accidental keystroke could break the delicate chain of interdependent references I had built.<\/p>\n<h3>Factoring in Time Horizon and Compounding Effects<\/h3>\n<p>Once the foundation of a forecast is laid, the real craft emerges in the fine-tuning. <strong>Refining financial models<\/strong> demands a surgeon\u2019s precision, not a carpenter\u2019s hammer. I learned this after a disastrously optimistic revenue projection: a single seasonal adjustment factor didn\u2019t just tweak the numbers\u2014it rewrote the entire quarter\u2019s story. Advanced techniques include error-distribution analysis to spot hidden biases, scenario weighting for probabilistic outcomes, and dynamic thresholds that react to live data streams. <em>Ignoring these adjustments turns precise calculations into well-meaning guesses.<\/em> These layers of scrutiny transform raw data from a rigid framework into a living narrative, ensuring your model breathes with reality rather than suffocating under its own assumptions.<\/p>\n<h3>Risk-Adjusted ROI: Accounting for Kelly Fraction<\/h3>\n<p>Once you master the fundamentals, you unlock the power of <strong>advanced calculation adjustments<\/strong> that feel like fine-tuning a delicate instrument. Instead of accepting a single output, you layer in conditional logic, for example multiplying base tax rates by regional coefficients only during a specific fiscal quarter. You might also apply dynamic rounding rules, ensuring percentages sum to exactly 100% by adjusting the smallest value rather than truncating blindly. These tweaks become your silent partners: a cascading <code>IF<\/code> statement that recalibrates a forecast overnight, or a tolerance check that catches a rounding error before it snowballs. The result is not a different answer\u2014it is the same answer, but polished until it fits the real world without a single edge left sharp.<\/p>\n<h3>Comparing ROI Across Different Stake Sizes and Levels<\/h3>\n<p>To move beyond basic estimates, <strong>refine your financial model with sensitivity analysis<\/strong> by systematically adjusting key inputs like discount rates or growth assumptions. This reveals which variables most impact your outcomes, allowing you to stress-test scenarios. <em>Always cross-reference your outputs against industry benchmarks to catch logical errors.<\/em> Integrate iterative macros to automate recalculation loops, and apply conditional formatting to your spreadsheet to instantly flag outliers in your data sets. For enhanced precision, consider incorporating Monte Carlo simulations for probabilistic ranges rather than single-point forecasts. These advanced adjustments transform rough calculations into defensible, strategic financial intelligence.<\/p>\n<h2>Using ROI to Guide Future Wagering Decisions<\/h2>\n<p>When you use <strong>Return on Investment (ROI)<\/strong> to guide your future wagers, you\u2019re essentially turning your betting history into a powerful tool for smarter decisions. Instead of just chasing wins or gut feelings, ROI gives you a clear, percentage-based look at how your money is really performing over time. Maybe you discover that your soccer parlays bring a solid 8% return while your NBA player props are bleeding cash. That data lets you confidently double down on what works and cut out the losers. It\u2019s not about being perfect; it\u2019s about being strategic. By regularly calculating your ROI, you stop guessing and start making data-driven bets, which is the strongest <strong>wagering strategy<\/strong> for long-term success. That simple number keeps your bankroll focused on profit, not just action.<\/p>\n<h3>Identifying Profitable Leagues, Markets, or Bet Types<\/h3>\n<p>After a season of chasing parlays and fading cold streaks, you finally sit down with your betting ledger. The numbers don\u2019t lie: calculating your <strong>ROI in sports betting<\/strong> reveals which wagers actually built your bankroll versus which ones were emotional leaks. You scan your history and spot a clear pattern\u2014unders in divisional games returned 18%, while your live-betting on late comebacks bled value. That data now sharpens every future play. You build a simple rule: only take the underdog if the line offers +15% projected ROI over the market. You stop blindly tailing tipsters and start treating each bet like a business expense. The ledger becomes your compass, not a report card. Every stake now carries the quiet confidence of math, not hope.<\/p>\n<h3>Knowing When to Stop Chasing Losses with Data<\/h3>\n<p>After my first season of serious betting, I sat with a notepad, staring at losses that felt like insults. That\u2019s when I stopped guessing and started calculating. <strong>Return on investment in sports betting<\/strong> became my compass. I looked back: which leagues gave me consistent profit? Which bet types were bleeding cash? By isolating my ROI for different wager styles, I discovered that <mark>cold, late-season NBA underdogs<\/mark> were my secret weapon. Now, before placing any bet, I check that opportunity\u2019s historical ROI against my bankroll. It\u2019s not magic\u2014it\u2019s math that cuts out emotional mistakes, keeping my future decisions grounded in data instead of hope.<\/p>\n<h3>Incorporating ROI into a Larger Responsible Gambling Strategy<\/h3>\n<p>Return on Investment (ROI) serves as a critical metric for evaluating the long-term profitability of wagering strategies. By calculating the net profit or loss relative to total stakes placed, bettors can objectively identify which markets, sport types, or bet sizes yield the highest returns. <strong>ROI-based bankroll management<\/strong> allows for disciplined allocation, reducing the impact of short-term variance. For example, a consistent ROI of +5% across 1,000 bets signals a sustainable edge, while negative ROI should trigger strategy revision.<\/p>\n<blockquote><p>ROI transforms emotional betting into data-driven decisions, preventing overconfidence after wins and panic after losses.<\/p><\/blockquote>\n<p>To apply this practically, track every wager in a simple table:<\/p>\n<table>\n<tr>\n<th>Bet Type<\/th>\n<th>Stakes<\/th>\n<th>Net Profit<\/th>\n<th>ROI<\/th>\n<\/tr>\n<tr>\n<td>Moneyline<\/td>\n<td>$500<\/td>\n<td>$75<\/td>\n<td>+15%<\/td>\n<\/tr>\n<tr>\n<td>Spread<\/td>\n<td>$300<\/td>\n<td>-$45<\/td>\n<td>-15%<\/td>\n<\/tr>\n<\/table>\n<p>Futures bets may show lower short-term ROI but higher long-term returns. The key is not maximizing isolated wins, but ensuring your average ROI remains positive across all wagers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Calculate Your Betting ROI With a Simple US Equity Calculator Understanding your betting performance requires more than just tracking wins and losses\u2014it demands a clear metric like ROI. A Betting ROI Calculator for US-based bettors simplifies this by converting your net profit into a precise percentage, helping you evaluate the true efficiency of your wagering strategy. Use this tool to make informed decisions and maximize your long-term returns in American odds markets. What Return on Investment Really Means for US Bettors For US bettors, return on investment is the single clearest measure of long-term profitability, far more critical than any single win or loss. It represents the percentage of profit you generate relative to the total amount wagered, not your bankroll\u2019s size. True expert advice focuses on achieving a positive ROI over hundreds of bets, which means identifying market inefficiencies and employing disciplined stake management. A consistent 2\u20135% ROI is considered elite, separating professionals from recreational gamblers who chase short-term luck. Without tracking this metric, you cannot objectively evaluate your strategies or know if you are beating the bookmakers\u2019 built-in margin. Ultimately, ROI reveals whether your time, research, and capital are yielding a genuine edge or simply feeding the house\u2019s inherent advantage. Ignore flashy parlays and focus on sustainable ROI growth for lasting success. Breaking Down the Basic Formula for Sports Wagering ROI For US bettors, sports betting ROI calculation isn\u2019t just about cashing a ticket\u2014it\u2019s the real measure of whether you\u2019re beating the market or just donating to books. ROI tells you how much profit you\u2019re making relative to every dollar wagered, filtering out the noise of big wins or losses. A positive ROI means your betting strategy consistently edges the sportsbook\u2019s juice, while a negative one signals you\u2019re paying for entertainment. To get a clear picture, you\u2019ve got to track every bet\u2014not just the winners\u2014and factor in the vig. Without that, you\u2019re guessing, not gambling smart. Track total stakes and total returns over at least 100 bets for reliable data. Aim for a long-term ROI above 2% to offset standard -110 odds. Use units instead of dollar amounts to measure performance across different bankrolls. Why ROI Matters More Than Win-Loss Records For US bettors, return on investment (ROI) in sports betting is the single metric that separates recreational play from professional strategy. ROI measures net profit against total money wagered, not a single win. A bettor risking $10,000 to earn $500 has a 5% ROI\u2014a clear indicator of long-term discipline, not a lucky weekend. To achieve this, experts focus on consistent edge rather than parlay fantasies. Stake management: Bet 1\u20132% of your bankroll per wager to survive variance. Line shopping: Compare odds across multiple sportsbooks; a -110 vs. -105 difference improves ROI by 2% over time. Market focus: Master one sport (e.g., NFL props) rather than betting every game. Q: Can a 100% win rate equal bad ROI? Yes\u2014if your stake is too high, a single loss wipes gains. ROI rewards sustainable risk, not perfect picks. The Difference Between Gross Profit and Net Return For US bettors, Return on Investment (ROI) in sports betting measures the profitability of wagers relative to the total amount risked. It is calculated by dividing net profit by total stakes, then multiplying by 100. A positive ROI indicates long-term success, while a negative one signals losses. Unlike a single lucky win, ROI reflects the efficiency of a betting strategy over time. Key factors influencing ROI include: Line shopping for better odds Managing bankroll discipline Understanding implied probability vs. true odds A consistent ROI of 5\u201310% is considered strong in US sports betting, as it accounts for the inherent house edge and short-term variance. How to Calculate Your Wagering Efficiency Step by Step Once, I was a gambler chasing luck, until I learned the quiet power of wagering efficiency. Start by tracking your total bets placed and total money spent over a month, then calculate your net profit or loss. Divide that net profit by your total wager amount to find your yield. Multiply that by 100 for a percentage\u2014your true win rate. Next, measure your average win size and frequency; divide total wins by total bets for your hit rate. Multiply your hit rate by your yield, then subtract the house edge or vig. A positive result means you&#8217;re beating the odds. For example, if you risk $1,000 over 100 bets, win $100, your yield is 10%. With a 40% hit rate, your efficiency index becomes 4%\u2014a solid wagering efficiency that signals smart, calculated play. That number, over time, reveals if your strategy is truly profitable or just a fleeting streak. Gathering the Right Data: Stakes, Payouts, and Losses To calculate your wagering efficiency, first determine your total stake by adding all bets placed over a set period. Next, subtract your total returns from this stake to find your net loss or profit. Then, divide the net result by the total stake and multiply by 100 to express it as a percentage. This yields your return on investment (ROI), a key efficiency metric. A positive percentage indicates profit, while a negative one signals loss. Tracking this figure consistently reveals patterns in your betting strategy. For example, a $500 stake with $600 returns yields a 20% efficiency. Compare this against benchmarks to gauge performance. Using Total Amount Wagered Versus Total Money Returned To calculate your wagering efficiency, first define your total stake as the sum of all bets placed. Next, record your net profit or loss after all wagers are settled. Evaluate your return on investment (ROI) by dividing net profit by total stake, then multiplying by 100 for a percentage. A positive ROI indicates efficiency. For a more granular view, compute your win rate by dividing winning bets by total bets, but note this alone ignores odds. Finally, track the average odds you take\u2014higher odds require a lower win rate for efficiency. Combining these metrics provides a clear picture of your wagering performance. Use a simple Metric Formula Example ROI (Profit \/<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1101","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/posts\/1101","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/comments?post=1101"}],"version-history":[{"count":1,"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/posts\/1101\/revisions"}],"predecessor-version":[{"id":1102,"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/posts\/1101\/revisions\/1102"}],"wp:attachment":[{"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/media?parent=1101"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/categories?post=1101"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webprimesolutions.com\/coach\/wp-json\/wp\/v2\/tags?post=1101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}