Shield Cup stats & predictions

Introduction to the Jordan Football Shield Cup

The Jordan Football Shield Cup is an exhilarating football tournament that brings together the finest clubs in Jordan. With matches updated daily, it offers a dynamic and ever-evolving spectacle for football enthusiasts. Our platform provides expert betting predictions, ensuring you stay ahead with informed insights and strategic tips. Dive into the world of football with us, where every match is a new adventure and every prediction is crafted with precision.

Understanding the Tournament Structure

The Jordan Football Shield Cup is structured to provide maximum excitement and competitive spirit. The tournament features a knockout format, ensuring that every match is crucial and every game could be the last. This structure not only heightens the stakes but also showcases the best talents across Jordan's football clubs.

• Round of 16: The tournament kicks off with 16 teams competing in intense one-off matches. Each team battles it out to secure a spot in the quarter-finals.
• Quarter-Finals: The surviving eight teams face off in another round of knockout matches, bringing the competition closer to its climax.
• Semi-Finals: The top four teams advance to this stage, where they compete in two-legged ties to determine who will reach the final.
• Final: The ultimate showdown takes place over two legs, where the champions of the Jordan Football Shield Cup are crowned.

Daily Match Updates and Analysis

Stay updated with our comprehensive coverage of daily matches. Our team of experts provides detailed analysis, including team form, head-to-head records, and tactical breakdowns. Whether you're a seasoned bettor or new to football betting, our insights help you make informed decisions.

Key Aspects Covered:

• Team Form: Analyze recent performances and momentum to gauge which team has the upper hand.
• Head-to-Head Records: Historical data on past encounters can reveal patterns and trends that might influence future outcomes.
• Tactical Breakdowns: Understand the strategies employed by teams, including formations, key players, and potential game-changers.

Expert Betting Predictions

Betting on football can be both thrilling and challenging. Our expert predictions are designed to enhance your betting experience by providing reliable forecasts based on meticulous research and analysis. From match outcomes to specific betting markets, our insights aim to maximize your chances of success.

Betting Tips and Strategies:

• Match Outcomes: Predictions on who will win or draw, taking into account various factors such as current form and home advantage.
• Total Goals: Insights on whether a match will have over or under a certain number of goals, helping you make more informed bets.
• Player Performances: Identify players likely to score or assist, providing opportunities for more targeted bets.
• In-Play Betting: Dynamic predictions that adjust as the match unfolds, offering real-time betting opportunities.

Daily Match Highlights

Experience the excitement of each day's matches with our highlights section. Get a quick recap of key moments, goals scored, and pivotal plays that defined the match. Whether you missed the live action or want a refresher, our highlights keep you in the loop.

What You Can Expect:

• Goal Recaps: Watch replays of all goals scored during the match, capturing the thrill and skill involved.
• Critical Moments: Highlights of crucial tackles, saves, and set-pieces that could have turned the tide of the game.
• Betting Reactions: See how our expert predictions played out in real-time, with analysis on accurate forecasts and unexpected outcomes.

The Role of Data Analytics in Betting Predictions

Data analytics plays a pivotal role in shaping our betting predictions. By leveraging advanced statistical models and machine learning algorithms, we analyze vast amounts of data to uncover patterns and insights that are not immediately apparent.

Data Points Considered:

• Past Performance Data: Comprehensive analysis of teams' historical performances to identify trends and anomalies.
• Injury Reports: Real-time updates on player injuries that could impact team dynamics and match outcomes.
• Squad Changes: Monitoring transfers and squad rotations that may influence a team's strategy and performance.
• Climatic Conditions: Assessing weather conditions that could affect gameplay, such as rain or extreme heat.

This data-driven approach ensures our predictions are grounded in empirical evidence, providing a robust foundation for your betting decisions.

User Engagement and Community Interaction

We believe that engaging with our community enhances the overall experience. Our platform encourages interaction through forums, polls, and social media channels where users can share their thoughts, predictions, and experiences.

Community Features:

• Prediction Polls: Participate in polls where you can vote on match outcomes and see how your predictions stack up against others.
• User Forums: Join discussions with fellow football fans to exchange tips, insights, and strategies.
• Social Media Integration: Follow us on social media for live updates, exclusive content, and interactive sessions with experts.

This interactive environment fosters a sense of community among users, enhancing their engagement with the tournament and each other.

Frequently Asked Questions (FAQs)

How Can I Access Daily Match Updates?

You can access daily match updates through our dedicated section on the website. Simply log in or sign up for free to stay informed about all ongoing matches. 1: # Effectiveness of probiotics in preventing acute gastroenteritis among children: systematic review protocol 2: Author: Mariane Nogueira Ribeiro de Barros Araújo 3: Date: 11-17-2014 4: Link: https://doi.org/10.1186/2046-4053-3-126 5: Systematic Reviews: Protocol 6: ## Abstract 7: BackgroundGastrointestinal infections are among the most common diseases affecting children worldwide. Probiotics are increasingly being used for prevention or treatment of infectious diarrhea in children; however their effectiveness remains controversial. 8: Methods/designThis systematic review will evaluate randomized controlled trials (RCTs) investigating probiotics’ effectiveness at preventing acute gastroenteritis among children under 5 years old. Databases will include MEDLINE (via PubMed), EMBASE (via Elsevier ScienceDirect), LILACS (via BIREME) from inception to July 2014 without language restrictions. Two reviewers will independently assess eligibility criteria for study selection; extract data; evaluate risk of bias; assess quality of evidence using GRADE (Grading of Recommendations Assessment Development Evaluation) methodology; resolve discrepancies by consensus; assess reporting biases using funnel plot asymmetry; conduct sensitivity analyses using random-effects meta-analysis when appropriate. 9: DiscussionThe results from this systematic review will summarize evidence regarding probiotics’ effectiveness at preventing acute gastroenteritis among children under 5 years old. 10: Systematic review registrationPROSPERO CRD42014013297 11: ## Background 12: Gastrointestinal infections are among the most common diseases affecting children worldwide [1]. In low-income countries they represent one of the leading causes of morbidity [1] as well as mortality [1–4]. In high-income countries they cause significant economic losses due to hospitalizations [5] as well as parents’ absences from work [6]. 13: According to World Health Organization (WHO) reports [7], rotavirus was responsible for approximately 111 million cases (95% CI 88-141 million) of acute gastroenteritis among children under 5 years old worldwide in 2008 alone; this resulted in approximately 453 thousand deaths (95% CI 327-600 thousand). In Brazil specifically rotavirus was responsible for approximately 23% of cases requiring hospitalization [8]. However rotavirus vaccination programs have been implemented since 2006 [9] leading to decreased hospitalizations rates from rotavirus gastroenteritis among children under 5 years old in some areas [10]. 14: Since antibiotics do not treat viral infections many researchers have been looking for alternative ways to prevent acute gastroenteritis caused by viruses. Some studies have shown that probiotics may be effective at preventing acute gastroenteritis among children under 5 years old [11–13]; however other studies have not shown any effect [14–16]. A recent systematic review conducted by Poole et al.[17] showed that probiotics may be effective at preventing acute gastroenteritis among children under 5 years old; however only five trials were included in their meta-analysis. 15: The aim of this systematic review is to evaluate probiotics’ effectiveness at preventing acute gastroenteritis among children under 5 years old. 16: ## Methods/design 17: ### Criteria for considering studies for this review 18: #### Types of studies 19: This systematic review will include randomized controlled trials (RCTs) investigating probiotics’ effectiveness at preventing acute gastroenteritis among children under 5 years old regardless whether they are published or unpublished. 20: #### Types of participants 21: This systematic review will include RCTs investigating probiotics’ effectiveness at preventing acute gastroenteritis among children under 5 years old regardless their sex or geographical location. 22: #### Types of interventions 23: Probiotics administered orally. 24: #### Types of outcome measures 25: Primary outcome measure will be incidence rate ratio (IRR) comparing incidence rate (IR) per child-year between intervention group(s) versus control group(s). 26: Secondary outcome measures will be mean difference (MD) comparing days until resolution between intervention group(s) versus control group(s); MD comparing episodes per child-year between intervention group(s) versus control group(s); number needed to treat (NNT); absolute risk reduction (ARR); relative risk reduction (RRR); odds ratio (OR) comparing episodes between intervention group(s) versus control group(s). 27: ### Search methods for identification of studies 28: #### Electronic searches 29: Databases will include MEDLINE (via PubMed), EMBASE (via Elsevier ScienceDirect), LILACS (via BIREME) from inception to July 2014 without language restrictions. Search strategy is presented in Table 1. 30: **Table 1**Search strategy 31: | Database | Search strategy | 32: | --- | --- | 33: | PubMed | (((((Probiotic[MeSH Terms]) OR Lactobacillus[All Fields]) OR Bifidobacterium[All Fields]) OR Saccharomyces boulardii[All Fields]) OR Lactobacillus acidophilus[All Fields]) OR Lactobacillus casei[All Fields]) | 34: | AND | 35: | ((((((((Child[MeSH Terms]) OR Child*) OR Infan*[All Fields]) OR Infant*[MeSH Terms]) OR Infant*) OR Childre*[All Fields]) OR Children*) OR Childr*[All Fields]) OR Pre-School Child*[All Fields]) | 36: | AND | 37: | ((((gastroenterit*[All Fields]) OR Diarrhoea[MeSH Terms]) OR Diarrhoea*) OR Gastrointestin*[All Fields]) OR Enteropath*[All Fields]) | 38: | AND | 39: | Randomized Controlled Trial[ptyp] | 40: | EMBASE | 'probiotic'/exp | 41: | AND | 42: | 'lactobacillus'/exp | 43: | AND | 44: | 'bifidobacterium'/exp | 45: | AND | 46: | 'saccharomyces boulardii'/exp | 47: | AND | 48: | 'lactobacillus acidophilus'/exp | 49: | AND | 50: | 'lactobacillus casei'/exp | 51: | AND | 52: | 'child'/exp or child* or infan* or infant* or childre* or childr* or preschool child* | 53: | AND | 54: | 'gastrointestinal infection'/exp or diarrhoea/DE or diarrhoea* or enteropath* or enteriti* or gastroenterit* or gastrointestin* | 55: | AND | 56: | 'randomized controlled trial':ab,kw,mesh,jr. | 57: | LILACS | Limite de Idioma:LILACS e PUBMED e SCIELO e ISI Web Of Knowledge e Cochrane Library e Clinical Trials e Google Scholar e BVS/SP - VHL e EMBASE e CINAHL e MEDLINE e PsycINFO e Scopus e Biological Abstracts e Scielo Citation Index / ALL = ((PROBIOTICO*) NOT SUJET(S): "Animais" NOT SUJET(S): "Animais de Laboratório") / ALL = ((INFANTIL*) NOT SUJET(S): "Animais" NOT SUJET(S): "Animais de Laboratório") / ALL = ((DIARREIA*) NOT SUJET(S): "Animais" NOT SUJET(S): "Animais de Laboratório") / TIPO DE ESTUDO = RCT / TIPO DE ESTUDO = RCT PROSPECTIVO / TIPO DE ESTUDO = RCT ALEATORIZADO / TIPO DE ESTUDO = TRIAL CLINICO RANDOMIZADO | 58: * = wildcard. 59: #### Searching other resources 60: Handsearching reference lists from relevant articles identified through electronic searches will be conducted as well as searching grey literature databases such as Open Grey [18] from inception without language restrictions. 61: ### Data collection and analysis 62: #### Selection of studies 63: Two reviewers will independently assess titles/abstracts identified through electronic searches using pre-specified eligibility criteria presented above. Full texts meeting inclusion criteria will be retrieved when possible regardless language barriers; if full text is unavailable authors will be contacted via email requesting full text copy if available. Disagreements between reviewers will be resolved by consensus if possible; otherwise an arbiter will be consulted. 64: #### Data extraction and management 65: Two reviewers will independently extract data using pre-specified standardized form based on Cochrane Consumers & Communication Review Group recommendations [19]. Data extracted will include information regarding participants characteristics; interventions; comparisons; outcomes measures; sample size calculations; statistical methods used for data analysis including details regarding intention-to-treat analyses if applicable; funding sources; conflicts-of-interest statements if applicable. 66: Discrepancies between reviewers regarding extracted data will be resolved by consensus if possible; otherwise an arbiter will be consulted. 67: #### Assessment of risk of bias in included studies 68tTwo reviewers will independently assess risk-of-bias using Cochrane Collaboration’s tool [20]. Risk-of-bias domains assessed will include random sequence generation; allocation concealment; blinding methods used for participants/personnel/outcome assessment/statistical analyses/intention-to-treat analyses if applicable/dropouts/withdrawals if applicable/outcome reporting if applicable/funding sources/conflicts-of-interest statements if applicable. 69tDiscrepancies between reviewers regarding risk-of-bias assessments will be resolved by consensus if possible; otherwise an arbiter will be consulted. 70tResults regarding risk-of-bias assessments will be presented graphically using ‘risk-of-bias’ tables including summary judgements per domain per study per outcome measure presented separately according to each outcome measure included in this systematic review. 71t#### Measures of treatment effect 72tFor dichotomous outcomes measures IRR comparing IR per child-year between intervention group(s) versus control group(s); NNT; ARR; RRR; OR comparing episodes between intervention group(s) versus control group(s); MD comparing days until resolution between intervention group(s) versus control group(s); MD comparing episodes per child-year between intervention group(s) versus control group(s). For continuous outcomes measures MD comparing days until resolution between intervention group(s) versus control group(s). For count outcomes measures IRR comparing IR per child-year between intervention group(s) versus control group(s). 73t#### Unit-of-analysis issues 74tUnit-of-analysis issues including clustering effects within families/clusters/schools/communities etcetera if applicable as well as multiple follow-up time-points within same individual if applicable will be addressed according to recommendations presented by Higgins et al.[21]. 75t#### Dealing with missing data 76tContacting authors via email requesting missing data when possible regardless language barriers. 77t#### Assessment of heterogeneity 78tStatistical heterogeneity across studies included in meta-analyses using I² statistics [22] interpreted according to thresholds presented by Higgins et al.[21]. 79t#### Assessment of reporting biases 80tReporting biases assessed using funnel plot asymmetry interpreted according to recommendations presented by Sterne et al.[23]. 81t#### Data synthesis 82tRandom-effects meta-analyses conducted when appropriate according to recommendations presented by DerSimonian & Laird [24]; results presented graphically using forest plots including summary estimates per outcome measure presented separately according to each outcome measure included in this systematic review. 83t#### Subgroup analysis and investigation of heterogeneity 84tSubgroup analyses conducted according to type/model/probability/preparation/dose/route/administration duration/frequency/viral etiology/demographic characteristics/treatment-seeking behavior/treatment received/treatment adherence/timing/timing since onset/illness severity/setting etcetera when appropriate. 85tSensitivity analyses conducted according recommendations presented by Higgins et al.[21] whenever appropriate including excluding low-quality studies according to risk-of-bias assessments excluding studies without intention-to-treat analyses whenever appropriate excluding non-randomized trials whenever appropriate excluding non-probability sampling whenever