{"id":13434,"date":"2026-04-30T05:53:38","date_gmt":"2026-04-30T05:53:38","guid":{"rendered":"https:\/\/blakerindustries.com\/?p=13434"},"modified":"2026-04-30T07:39:45","modified_gmt":"2026-04-30T07:39:45","slug":"expert-football-match-predictions-for-this-week-s-2","status":"publish","type":"post","link":"https:\/\/blakerindustries.com\/index.php\/2026\/04\/30\/expert-football-match-predictions-for-this-week-s-2\/","title":{"rendered":"Expert Football Match Predictions for This Week&#8217;s Top Games"},"content":{"rendered":"<p>Football predictions blend statistical analysis, team form, and historical data to estimate match outcomes with greater accuracy. Whether you&#8217;re a seasoned punter or a casual fan, <strong>informed predictions<\/strong> can transform how you experience the game. Discover expert insights that give you an edge in understanding the beautiful game&#8217;s unpredictable nature.<\/p>\n<h2>Decoding the Game: Advanced Match Forecasting<\/h2>\n<p><strong>Decoding the Game<\/strong> transforms raw data into a competitive edge, where advanced match forecasting moves beyond simple win\/loss probabilities. By analyzing intricate patterns in player performance, historical head-to-head data, and real-time variables like weather or fatigue, these models predict not just the victor but the flow of the game itself. This dynamic process leverages machine learning to identify hidden correlations\u2014such as a team&#8217;s vulnerability to specific formations or a player&#8217;s decline in late-game scenarios. Mastering this analysis requires understanding the margin of error inherent in chaotic sports, yet it provides a powerful lens for fans and analysts alike. Ultimately, it turns every match into a complex puzzle, offering a thrilling glimpse into <strong>advanced predictive strategy<\/strong> that fuels deeper engagement with the sport.<\/p>\n<h3>Statistical Models That Outperform Common Wisdom<\/h3>\n<p>In the labyrinth of modern sports analytics, the art of match forecasting has evolved from gut instinct into a precise science. <strong>Advanced predictive modeling<\/strong> now decodes the subtle dance of form, injury data, historical head-to-head records, and even weather patterns to unveil hidden patterns. For a seasoned analyst, each match becomes a living story\u2014a clash of probabilities where a striker\u2019s recent dip in xG or a defender\u2019s aerial win rate can shift the narrative. <em>This isn&#8217;t about certainty, but about tilting the odds in your favor.<\/em> The core toolkit involves three key components:<\/p>\n<ul>\n<li><strong>Statistical models<\/strong> (like Poisson distribution for expected goals)<\/li>\n<li><strong>Sentiment analysis<\/strong> of team morale <a href=\"https:\/\/www.goalsense.ai\/league\/champions-league\/2\">this site<\/a> through press conferences<\/li>\n<li><strong>In-play data<\/strong> streams tracking real-time momentum shifts<\/li>\n<\/ul>\n<p>By weaving these elements together, a forecaster doesn\u2019t just predict outcomes\u2014they read the game before it even begins.<\/p>\n<h3>How Expected Goals (xG) Shape Outcome Analysis<\/h3>\n<p>In a dimly lit control room, a data analyst watches probabilities flicker across a screen, fine-tuning a model that breathes life into raw numbers. This is the heart of <strong>advanced match forecasting<\/strong>, where machine learning algorithms dissect player form, historical head-to-head records, and real-time fatigue metrics. The process moves beyond simple win\/loss bets, anticipating subtle shifts like a goalkeeper\u2019s save rate under heavy rain or a striker\u2019s reduced stamina past the 70th minute. By layering these variables, forecasters decode the hidden narrative of a game\u2014turning chaotic action into a calculated, compelling prediction. The story isn\u2019t fixed; it\u2019s a living, breathing probability.<\/p>\n<h3>Using Poisson Distribution for Score Projections<\/h3>\n<p>Advanced match forecasting in sports leverages historical data, real-time statistics, and <mark>predictive modeling<\/mark> to estimate outcomes with increasing accuracy. Analysts examine variables like player form, head-to-head records, and situational factors such as home advantage or weather conditions. Common methods include logistic regression for binary outcomes and random forests for handling complex interactions. <strong>Data-driven sports analytics<\/strong> now powers models that update probabilities dynamically as match conditions change. While no system is infallible, these tools help teams and bettors identify underlying patterns, reducing reliance on intuition alone. Key inputs often include: player availability, recent performance trends, and league context.<\/p>\n<h2>Building a Reliable Data-Driven Approach<\/h2>\n<p>A reliable data-driven approach begins with establishing robust data governance by defining clear ownership, quality standards, and consistent collection protocols. This foundation supports the integration of diverse data sources into a unified, accessible repository. <strong>Building trust in data<\/strong> requires rigorous validation, automated cleansing, and clear lineage tracking to minimize errors. Next, selecting appropriate analytical models and tools\u2014aligned with specific business objectives\u2014enables actionable insights. Regularly monitoring model performance against real outcomes ensures sustained reliability, while fostering a culture of data literacy across teams prevents misinterpretation. Ultimately, this iterative cycle of collection, validation, analysis, and refinement creates a defensible, scalable system that drives confident decision-making without over-relying on intuition.<\/p>\n<p><strong>Q: What is the first step in building a reliable data-driven approach?<\/strong><br \/>A: Establishing strong data governance to ensure data quality, ownership, and standardized collection.<\/p>\n<h3>Sourcing Clean Historical Match Data<\/h3>\n<p>A reliable data-driven approach hinges on establishing rigorous data governance, ensuring data quality from collection to analysis. This begins with defining clear metrics tied to business objectives, then automating data pipelines to eliminate manual errors and ensure consistency. <strong>Data quality assurance frameworks<\/strong> must include validation rules and anomaly detection to catch issues early. A robust system also requires cross-functional alignment, where teams agree on definitions and sources to prevent silos. Regular audits and version control for datasets maintain trust over time.<\/p>\n<blockquote><p>Without immutable data integrity, all analysis is noise.<\/p><\/blockquote>\n<h3>Key Metrics: Form, Injuries, and Head-to-Head Trends<\/h3>\n<p>Building a reliable data-driven approach starts with strategic alignment and rigorous controls. <strong>Data quality management<\/strong> is the bedrock, ensuring every decision rests on accurate and consistent information. From there, organizations must implement scalable pipelines and foster a culture of experimentation, where metrics are continuously tested and refined. This involves three core steps: ensuring clean data collection, integrating diverse sources for a unified view, and validating insights through robust A\/B testing. A dynamic system isn&#8217;t static\u2014it thrives on iterative feedback loops that catch errors early and adapt to shifting business realities.<\/p>\n<p><strong>Q&#038;A<\/strong><br \/><em>Q: What\u2019s the fastest way to kill a data-driven initiative?<\/em><br \/><em>A: Relying on \u201cdirty\u201d data\u2014bad inputs inevitably produce misleading outputs, destroying trust in the process before it gains momentum.<\/em><\/p>\n<h3>Weighting Recent Performances Over Season Averages<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"Football Predictions\" 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\"\/><\/p>\n<p>Building a reliable data-driven approach starts with establishing a robust data governance framework to ensure accuracy and consistency. Prioritize <strong>data quality management<\/strong> by implementing automated validation checks and regular audits. Define clear ownership for every dataset to prevent silos and maintain accountability. Next, invest in a scalable data infrastructure that facilitates seamless integration from diverse sources. Your methodology should emphasize:<\/p>\n<ul>\n<li><strong>Standardized metrics<\/strong> across departments to avoid conflicting interpretations.<\/li>\n<li>Iterative testing of models against real-world outcomes to confirm relevance.<\/li>\n<li>Transparent documentation of assumptions and limitations for stakeholder trust.<\/li>\n<\/ul>\n<p>Finally, cultivate a culture where decisions are challenged by data, not authority. Avoid over-reliance on historical patterns by feeding your systems with fresh, contextual inputs. This combination of rigorous processes, clean data, and continuous validation turns raw information into actionable, trustworthy intelligence.<\/p>\n<h2>Understanding Market Movements and Lines<\/h2>\n<p>Navigating the world of trading begins with understanding that market movements are not random, but a living narrative of collective human emotion and data. Every uptick and downtick tells a story of fear, greed, and calculated strategy. The lines on your chart\u2014support, resistance, and trendlines\u2014are the visible boundaries of this psychological battlefield, marking where buyers and sellers have historically clashed. To truly grasp these patterns is to unlock the language of the market, allowing you to anticipate potential shifts before they occur. Mastering <strong>market movements analysis<\/strong> is like learning to read the subtle currents in a river, while recognizing <strong>key trading lines<\/strong> acts as your compass, guiding you through volatility toward more informed decisions.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"Football Predictions\" 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\"\/><\/p>\n<h3>Reading Odds Shifts for Team Insights<\/h3>\n<p>Market movements and lines are the visual language of supply and demand in real-time. Every candlestick chart or trendline tells a story of buyer versus seller momentum, with support and resistance levels acting as psychological battlefields. Understanding these dynamics helps you anticipate potential breakouts or reversals before they happen. <strong>Price action analysis<\/strong> relies on recognizing these patterns to gauge market sentiment. Key principles to watch include:\n<\/p>\n<ul>\n<li>Trendlines: Connect swing highs or lows to see the market&#8217;s directional bias.<\/li>\n<li>Support\/Resistance: Zones where price historically reverses or stalls.<\/li>\n<li>Volume: Confirms whether a breakout is genuine or a trap.<\/li>\n<\/ul>\n<p>Mastering these lines turns chaotic noise into clear, actionable signals, giving you an edge in volatile markets.<\/p>\n<h3>Identifying Overvalued and Undervalued Sides<\/h3>\n<p>Markets don&#8217;t move by chance; they tell a story of collective human emotion. Price lines are the narrative, reflecting every trader&#8217;s hope and fear as they rise, fall, and consolidate. A single line on a chart can represent a battle between buyers pushing the price up and sellers dragging it down, forming support and resistance levels that act as psychological markers. <strong>Understanding price action and market trends<\/strong> begins with reading these lines to anticipate the next chapter. <em>Every tick is a whisper from the crowd, revealing their next move.<\/em> To read the market, focus on:<\/p>\n<ul>\n<li>Trend lines that connect higher lows or lower highs to show direction.<\/li>\n<li>Volume spikes that confirm the strength behind a price break.<\/li>\n<li>Reversal patterns like double tops or head-and-shoulders at key lines.<\/li>\n<\/ul>\n<h3>Public Betting Percentages Versus Sharp Money<\/h3>\n<p>Understanding market movements involves analyzing the interplay between supply and demand, investor sentiment, and external catalysts. <strong>Key price action patterns<\/strong> reveal the psychological war between buyers and sellers. Price lines\u2014such as support, resistance, and moving averages\u2014act as dynamic barriers; a break above resistance often signals bullish momentum, while a fall below support suggests weakness. To navigate volatility:<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"601px\" alt=\"Football Predictions\" 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\"\/><\/p>\n<ul>\n<li>Monitor volume for confirmation of breakouts or fakes.<\/li>\n<li>Use multiple timeframes to distinguish noise from trends.<\/li>\n<li>Correlate price lines with news catalysts for context.<\/li>\n<\/ul>\n<blockquote><p>The line is not the cause of movement; it is the market\u2019s memory of its own psychology.<\/p><\/blockquote>\n<p>By treating lines as probabilistic zones rather than rigid triggers, you align with the market\u2019s flow rather than fighting it.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"606px\" alt=\"Football Predictions\" src=\"data:image\/jpg;base64,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\"\/><\/p>\n<h2>League-Specific Forecasting Nuances<\/h2>\n<div style=\"text-align:center\">\n<iframe width=\"566\" height=\"314\" src=\"https:\/\/www.youtube.com\/embed\/Uutukp6bQkY\" frameborder=\"0\" alt=\"Football Predictions\" allowfullscreen><\/iframe>\n<\/div>\n<p>In high-stakes sports forecasting, <strong>league-specific nuances<\/strong> often separate accurate models from generic guesses. The English Premier League, for instance, requires adjusting for congested fixture schedules that amplify rotational risk and fatigue, whereas the NFL demands heavy weighting of divisional rivalry dynamics and short-week travel. Ignoring these structural variances leads to skewed probability assessments. For professional success, always calibrate your metrics\u2014such as expected goals in soccer or yards per play in American football\u2014to the league\u2019s officiating trends, travel logistics, and playoff system. <strong>This tailored approach<\/strong> ensures your projections reflect the true drivers of match outcomes rather than surface-level statistics.<\/p>\n<h3>Premier League Chaos: High Variance and Upsets<\/h3>\n<p>League-specific forecasting isn&#8217;t just about crunching numbers; it&#8217;s about understanding the unique DNA of each competition. <strong>Injuries and roster rotation<\/strong> hit smaller leagues harder than the big ones, because a single star player&#8217;s absence can instantly crater a team&#8217;s win probability. You also have to factor in drastically different travel demands, from the grueling cross-country trips in the NBA to the shorter, bus-heavy schedules in European football. Promotions and relegations add another layer, as a team&#8217;s financial incentive to stay up or go down changes their risk profile entirely. Ignoring these league-specific personality traits makes your predictions less reliable, plain and simple.<\/p>\n<h3>Serie A Defensive Patterns and Low-Score Matches<\/h3>\n<p>League-specific forecasting demands more than generic trend analysis; it requires deciphering unique meta-shifts, roster volatility, and patch cycle impacts that vary wildly between regions like the LCK\u2019s macro-focused discipline versus the LPL\u2019s aggressive skirmishing. <strong>Regional meta divergence<\/strong> directly skews prediction accuracy. For instance, a champion\u2019s power spike in the LEC might be useless in the LCS due to different draft philosophies. Analysts must weigh:<\/p>\n<ul>\n<li><strong>Roster turnover:<\/strong> A star player\u2019s move can flip a team\u2019s projected win rate overnight.<\/li>\n<li><strong>Patch timing:<\/strong> A late-season update can invalidate months of form data.<\/li>\n<li><strong>Playoff pressure:<\/strong> Bo5 experience often trumps regular-season records.<\/li>\n<\/ul>\n<p><em>Ignoring these nuances is like betting on a horse race using only weather reports.<\/p>\n<h3>Bundesliga High-Scoring Trends and Home Dominance<\/h3>\n<p>In the Premier League, forecasting demands a storyteller\u2019s eye for chaos, where <strong>managerial volatility reshapes match predictions<\/strong> faster than any statistical model can adjust. One week, a new gaffer\u2019s \u201cnew manager bounce\u201d injects unpredictable energy into a relegation-threatened side, toppling odds; the next, a sudden injury to a talismanic midfielder for a title contender forces a gut-level re-evaluation of expected goals. Unlike the Bundesliga\u2019s consistent scoring patterns or Serie A\u2019s tactical rigidity, the Premier League\u2019s financial disparity creates a unique landscape where lower-table teams often field world-class talent, making \u201cexpected\u201d outcomes a fragile narrative. Forecasting here is less about pure numbers and more about reading the league\u2019s emotional pulse\u2014the stadium roar, the transfer whisper, the pressing injury time drama that defies every algorithm\u2019s cold logic.<\/p>\n<h2>Factoring in Non-Statistical Variables<\/h2>\n<p>In quantitative analysis, the power of your model hinges on effectively <strong>integrating non-statistical variables<\/strong>. While hard data points like revenue or temperature provide the raw numbers, subjective factors\u2014such as market sentiment, regulatory changes, or leadership quality\u2014often dictate the outcome. Factoring these abstract drivers requires a deliberate blend of intuition and structured methodology, like assigning weighted scores or using scenario analysis. By treating institutional knowledge with the same rigor as empirical data, you unlock a dynamic, holistic view that raw statistics alone can miss. This approach transforms your analysis from a rigid historical snapshot into a forward-looking, nuanced decision-making engine, ensuring your conclusions are both grounded and adaptable to real-world unpredictability.<\/p>\n<h3>Managerial Tactics and Formation Adjustments<\/h3>\n<p>Ignoring non-statistical variables, such as brand reputation, cultural trends, or regulatory shifts, cripples predictive models. These qualitative factors often break statistical norms, yet they fundamentally drive real-world outcomes. For <strong>actionable business intelligence<\/strong>, analysts must integrate expert judgment and market context directly into model frameworks. This hybrid approach ensures predictions aren&#8217;t just mathematically sound but practically relevant, preventing costly errors from static data. For instance, a model forecasting sales might perfectly track price elasticity but miss the impact of a viral social media backlash. <mark>Qualitative data signals<\/mark> like consumer sentiment or policy changes must be weighted alongside numerical trends. By blending these dimensions, organizations build robust forecasts that adapt to volatile environments, turning raw data into decisive strategy.<\/p>\n<h3>Travel Fatigue and European Competition Hangover<\/h3>\n<p>Factoring in non-statistical variables means looking beyond the raw numbers to capture what spreadsheets miss. While data shows what happened, human context explains why, making predictions far more reliable. For example, in finance, a model might ignore a sudden regulatory change or a CEO\u2019s health crisis, yet these <mark>non-statistical variables<\/mark> can tank a stock. To stay accurate, always mix hard data with gut checks on:<\/p>\n<ul>\n<li>Local cultural shifts<\/li>\n<li>Team morale or leadership changes<\/li>\n<li>Unexpected competitor moves<\/li>\n<\/ul>\n<p>This blend creates a <strong>robust predictive framework<\/strong> that adapts to real-world chaos, not just past trends.<\/p>\n<h3>Weather Conditions and Pitch Quality<\/h3>\n<p>Factoring in non-statistical variables transforms raw data into a richer, more actionable story. While algorithms process numbers, variables like local culture, expert intuition, regulatory shifts, or brand reputation often escape the spreadsheet but carry enormous weight. For instance, a drop in sales might be statistically significant, but ignoring a sudden change in consumer trust or a new public policy could lead to a flawed business strategy. These elements provide crucial context, ensuring decisions are grounded in reality rather than abstract patterns alone. This practice, often termed <strong>qualitative data integration<\/strong>, is vital for robust forecasting. To apply it effectively, teams must:<\/p>\n<ul>\n<li>Conduct structured expert interviews to capture tacit knowledge.<\/li>\n<li>Monitor sentiment analysis from social feeds for real-time shifts.<\/li>\n<li>Track regulatory announcements that override historical trends.<\/li>\n<\/ul>\n<p>By weaving these human and contextual factors into the analytical mix, organizations avoid hollow conclusions and drive more adaptive, resilient action.<\/p>\n<h2>Creating a Consistent Picking Strategy<\/h2>\n<p>Building a consistent picking strategy is like creating a personal playlist\u2014you want tracks that match your vibe without skipping every three seconds. The core secret is <strong>stickiness and discipline<\/strong>; you\u2019re not guessing where to grab each item, but following a repeatable pattern that cuts down wasted motion. Start by mapping your workspace or warehouse layout, then decide your route: always start from one side and work left to right, or grab the heaviest items first to balance your load. Practice this rhythm until it feels automatic, and resist the urge to dart around for \u201cquick\u201d finds\u2014that breaks your flow. Over time, this consistency boosts speed and accuracy, making each pick session smoother. Remember, <strong>SEO-friendly search terms<\/strong> like \u201cwarehouse efficiency\u201d and \u201corder picking workflow\u201d matter for your online guides, but on the floor, it\u2019s all about your muscle memory and routine sticking like glue.<\/p>\n<h3>Setting Clear Criteria for Each Wager<\/h3>\n<p>A consistent picking strategy is your secret weapon for steady profits, not chaotic hunches. Instead of gambling on every market wiggle, you define a clear plan\u2014say, buying an index fund each payday or adding to a stock when it dips 5%. This removes emotion and forces discipline, which is the bedrock of long-term growth. <strong>Regular rebalancing keeps your portfolio aligned with your goals<\/strong> and prevents any single asset from dominating. Stick to your schedule, track your results, and adjust only when your life situation changes. <em>Patience really does beat perfect timing.<\/em> It&#8217;s boring, but boring works.<\/p>\n<h3>Bankroll Rules to Mitigate Downswings<\/h3>\n<p>A consistent picking strategy transforms inventory chaos into streamlined order, boosting fulfillment speed and accuracy. <strong>Optimizing warehouse picking routes<\/strong> is the cornerstone of this approach, reducing wasted travel time and worker fatigue. Whether you employ zone, batch, or wave picking, the key is unwavering repetition: the same items, in the same logical sequence, every single cycle. This predictability trains your team&#8217;s muscle memory and drastically cuts error rates. The core tactics include:<\/p>\n<ul>\n<li><strong>Slotting high-velocity items<\/strong> near the dispatch area for rapid access.<\/li>\n<li><strong>Establishing fixed pick faces<\/strong> to eliminate decision-making on the floor.<\/li>\n<li><strong>Implementing barcode scanning<\/strong> at every confirmation step to ensure zero mistakes.<\/li>\n<\/ul>\n<p>By locking in a standardized workflow, you minimize cognitive load and maximize throughput, turning pickers into high-efficiency performers who can scale with demand.<\/p>\n<h3>Tracking Results to Refine Forecasting Methods<\/h3>\n<p>Creating a consistent picking strategy is the cornerstone of profitable trading, as it eliminates emotional guesswork and replaces it with a repeatable framework. <strong>A reliable picking strategy requires strict risk management rules to protect capital.<\/strong> You must define clear entry signals, predetermined exit points, and position sizing that aligns with your portfolio. Avoid chasing volatility; instead, focus on patterns your analysis confirms repeatedly. To implement this effectively, consider these core principles:<\/p>\n<ol>\n<li>Define a specific technical or fundamental trigger for every trade.<\/li>\n<li>Set a fixed percentage stop-loss and take-profit target before entering.<\/li>\n<li>Review and adjust your strategy monthly based on performance, not short-term outcomes.<\/li>\n<\/ol>\n<p>By adhering to these rules, you build discipline and long-term consistency, which outperforms sporadic, high-risk moves. Trust the process, not the outcome of a single trade.<\/p>\n<p><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Football predictions blend statistical analysis, team form, and historical data to estimate match outcomes with greater accuracy. Whether you&#8217;re a seasoned punter or a casual fan, informed predictions can transform how you experience the game. Discover expert insights that give you an edge in understanding the beautiful game&#8217;s unpredictable nature. Decoding the Game: Advanced Match &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/blakerindustries.com\/index.php\/2026\/04\/30\/expert-football-match-predictions-for-this-week-s-2\/\"> <span class=\"screen-reader-text\">Expert Football Match Predictions for This Week&#8217;s Top Games<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_surecart_dashboard_logo_width":"180px","_surecart_dashboard_show_logo":true,"_surecart_dashboard_navigation_orders":true,"_surecart_dashboard_navigation_invoices":true,"_surecart_dashboard_navigation_subscriptions":true,"_surecart_dashboard_navigation_downloads":true,"_surecart_dashboard_navigation_billing":true,"_surecart_dashboard_navigation_account":true,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","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":"","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":"","footnotes":""},"categories":[252],"tags":[],"class_list":["post-13434","post","type-post","status-publish","format-standard","hentry","category-1-1320-links-mix-mix-eng-done"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"woocommerce_thumbnail":false,"woocommerce_single":false,"woocommerce_gallery_thumbnail":false},"uagb_author_info":{"display_name":"okoro","author_link":"https:\/\/blakerindustries.com\/index.php\/author\/okoro\/"},"uagb_comment_info":0,"uagb_excerpt":"Football predictions blend statistical analysis, team form, and historical data to estimate match outcomes with greater accuracy. Whether you&#8217;re a seasoned punter or a casual fan, informed predictions can transform how you experience the game. Discover expert insights that give you an edge in understanding the beautiful game&#8217;s unpredictable nature. Decoding the Game: Advanced Match&hellip;","_links":{"self":[{"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/posts\/13434","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/comments?post=13434"}],"version-history":[{"count":1,"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/posts\/13434\/revisions"}],"predecessor-version":[{"id":13435,"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/posts\/13434\/revisions\/13435"}],"wp:attachment":[{"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/media?parent=13434"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/categories?post=13434"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blakerindustries.com\/index.php\/wp-json\/wp\/v2\/tags?post=13434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}