Silsden FC: Premier League North Champions Squad & Stats Overview

Overview of Silsden Football Team

Silsden is a prominent football team based in Silsden, West Yorkshire, England. Competing in the Northern Counties East League Premier Division, the team is managed by their current coach and was founded in 1898. Known for their passionate fanbase and competitive spirit, Silsden offers an intriguing profile for sports betting enthusiasts.

Team History and Achievements

Since its inception in 1898, Silsden has carved out a notable history in English football. The team has won several league titles and cup competitions, showcasing their prowess on the field. Notable seasons include their championship victories and cup finals appearances, which have solidified their reputation as a formidable side.

Current Squad and Key Players

The current squad boasts talented players who play pivotal roles across various positions. Key players include top performers who consistently deliver outstanding performances. Their statistics reflect a strong presence both defensively and offensively.

Team Playing Style and Tactics

Silsden typically employs a tactical formation that emphasizes both defense and attack. Their strategies focus on exploiting strengths such as quick counter-attacks while addressing weaknesses like set-piece defense. This balanced approach makes them unpredictable opponents.

Interesting Facts and Unique Traits

Silsden is affectionately nicknamed by fans due to their spirited gameplay. The club’s traditions are deeply rooted in local culture, fostering a strong sense of community among supporters. Rivalries with neighboring teams add an extra layer of excitement to matches.

Tips & Recommendations for Betting Analysis

• Analyze Recent Form: Assess Silsden’s recent match results to gauge current form.
• Evaluate Head-to-Head Records: Review past encounters with upcoming opponents to identify patterns or trends.
• Monitor Key Player Performance: Track the performance metrics of star players who can influence game outcomes.

Frequently Asked Questions (FAQ)

What are some key stats to consider when betting on Silsden?

Key stats include recent match performance, head-to-head records against upcoming opponents, and individual player statistics such as goals scored or defensive saves.

How does Silsden’s playing style impact betting odds?

Silsden’s balanced playing style can make them difficult to predict, affecting betting odds by introducing variability based on opponent matchups and current form.

What should I look for in upcoming matches involving Silsden?

Analyze team line-ups, recent injuries or suspensions, and weather conditions that could influence match dynamics.

Comparisons with Other Teams

In comparison to other teams in the league or division, Silsden stands out due to their strategic adaptability and strong home record. This gives them an edge over teams with less versatile tactics.

List & Rankings of Players & Stats

• Best Goal Scorers:
• Name – Goals Scored: 15 ✅
• Tackles Leader:
• Name – Tackles Made: 22 🎰
• Potential Rising Stars:
• Name – Promising Performances: 8 💡

Cases Studies of Notable Matches

Silsden’s breakthrough games often highlight key victories against top-tier opponents where strategic plays led to unexpected wins. These matches serve as case studies for understanding the team’s potential under pressure.

Tips & Recommendations for Analyzing Team Performance (💡 Advice Blocks)

• Analyze player fitness levels leading up to matches for potential impact on performance.
• Closely monitor coaching staff changes that might affect team tactics or morale.
Consider historical data trends during similar match conditions (e.g., weather).
= $150 million AND Year != “2019”. ## Response: To extract all rows from the table where (Q1 Sales – Q1 Expenses) >= $150 million AND Year != “2019”: Firstly, calculate (Q1 Sales – Q1 Expenses) for each row: – For Year = 2019: [ text{Q1 Sales} – text{Q1 Expenses} = $500text{M} – $300text{M} = $200text{M} ] – For Year = 2020: [ text{Q1 Sales} – text{Q1 Expenses} = $600text{M} – $350text{M} = $250text{M} ] – For Year = 2021: [ text{Q1 Sales} – text{Q1 Expenses} = $700text{M} – $400text{M} = $300text{M} ] Now apply both conditions: – Condition (a): (Q1 Sales – Q1 Expenses) >= $150 million – Condition (b): Year != “2019” Checking each row against these conditions: – For Year = **2019**: * Condition (a): ( $200text{m} geq $150text{m}) — True * Condition (b): ( text{“2019”} neq “2019” ) — False This row does not satisfy both conditions. – For Year = **2020**: * Condition (a): ( $250text{m} geq $150text{m}) — True * Condition (b): ( “2020” neq “2019” ) — True This row satisfies both conditions. – For Year = **2021**: * Condition (a): ( $300text{m} geq $150text{m}) — True * Condition (b): ( “2020” neq “2019” ) — True This row satisfies both conditions. Therefore, extracted rows are: – **Year**: * **Year:** * **Year:** * **Year:** { “Year”: [2020], “Details”: [ { “Year”: “2020”, “QI_Sales”: “$600”, “Quarter_Expenses”: “$350”, “Profit_QI”: “$250” }, { “Year”: “202I”, “Quarter_Sales”: “$700”, “Quarter_Expenses”: “$400”, “Profit_QI”: “$300” } ] }