Understand every concept that shapes fantasy cricket — from batting stats to predictive models.
Analytics: Using data insights and stats to make smarter fantasy team decisions.
All-Rounder: A player skilled in both batting and bowling, providing balance to a team.
Average: A key statistic measuring consistency — runs per dismissal or wickets per match.
Algorithm: A step-by-step data model used in fantasy prediction systems.
Batting Average: Total runs divided by times out — higher average indicates consistency.
Boundary: A 4 or 6 scored when the ball reaches the boundary rope — adds quick points.
Bowling Economy: Runs conceded per over — vital for choosing bowlers strategically.
Bonus Points: Extra fantasy points earned for milestones like half-centuries or 3-wicket hauls.
Captain: The player in your team whose points are doubled — choose wisely!
Catch Efficiency: Measures how often a player successfully completes catches in the field.
Crick Playz: A learning platform teaching fantasy cricket strategy — not for real money play.
Consistency: A player's ability to perform well across multiple matches — key in selection.
Data Analysis: Studying player statistics to predict future match performance.
Dot Ball: A delivery from which no run is scored — valuable for bowlers.
Draft: A team creation method used in some fantasy formats — each player unique to one team.
Dream Team: The best possible team combination after a match, based on maximum points scored.
Economy Rate: Indicates how few runs a bowler concedes — lower is better.
Ethics in Fantasy: Following fair play guidelines and avoiding banned states or fake accounts.
Expected Score: Predicted points based on form, pitch, and match-up data.
Edge Case: A rare or unusual gameplay event analyzed in fantasy simulations.
Fantasy Points: Numerical values assigned for player performance — runs, wickets, catches, etc.
Fair Play: Ethical, rule-based participation — Crick Playz encourages only learning use.
Form Index: A metric showing player performance trend over recent matches.
Fielding Impact: The effect of catches, run-outs, and saves on fantasy scoring.
Game Theory: The study of decision-making — used to balance risk and reward in team selection.
Growth Mindset: Continuous learning and improvement through analysis and reflection.
Ground Conditions: Pitch, weather, and stadium data that affect match outcomes.
Hat-Trick: When a bowler takes three wickets on three consecutive deliveries — a rare feat in cricket.
Head-to-Head: A fantasy format where users compete directly with one opponent.
Heat Map: A visual data tool showing shot or delivery distribution on a cricket field.
Highlight Analysis: Reviewing key performance clips to identify decision patterns.
Impact Player: A player substituted into the game who can significantly influence the result.
Innings: A phase of play where one team bats and the other bowls/fields until the set overs are completed.
Insights: Actionable conclusions drawn from match and player data.
IPL: The Indian Premier League — the most popular T20 tournament inspiring most fantasy leagues.
Jersey Number: Identifies a player and sometimes symbolizes legacy or superstition.
Judgement: The player’s ability to read deliveries — crucial for batting success.
Joint Team Strategy: Collaborative discussions on player selection purely for learning purposes.
Key Players: Top performers whose inclusion significantly affects fantasy scoring.
Knockout Stage: The elimination phase in tournaments where only winning teams advance.
KPI (Key Performance Indicator): A measurable statistic used to evaluate a player’s form or efficiency.
Leaderboard: Displays users’ quiz or fantasy performance rankings.
Lineup Logic: The data-driven process of selecting a balanced, rule-compliant fantasy team.
Learning Path: The recommended sequence of tutorials within Crick Playz’s Education Hub.
Match Simulation: Using data to predict outcomes under different match conditions.
Metrics: Quantifiable data points used to analyze player or team performance.
Momentum: The psychological or statistical advantage gained during consecutive successes.
Net Run Rate (NRR): Measures team efficiency; used in tournament rankings.
Not-Out: A batsman who remains unbeaten at the end of an innings — improves batting average.
Normalization: A data process for scaling statistics for fair comparisons.
Over: A set of six legal deliveries bowled by one player.
Optimization: Adjusting team or algorithm parameters to maximize efficiency or points.
Outfield: The grassy area beyond the pitch where fielders are stationed.
Pitch Report: Analysis of pitch behavior — affects team selection and player performance.
Powerplay: First six overs of limited-overs cricket where field restrictions apply.
Predictive Model: Statistical approach to forecast player success using historic data.
Qualifier: A match determining advancement to the next tournament stage.
Quick Runs: Fast scoring rate, especially in T20 matches, crucial for fantasy success.
Questionnaire: A quiz format used in Crick Playz to reinforce learning concepts.
Run Rate: Average runs scored per over.
Responsible Learning: Engaging with fantasy cricket strictly as an educational exercise.
Regression Analysis: A data method identifying correlations between performance factors.
Strike Rate: Runs per 100 balls faced — key for evaluating attacking batters.
Simulation: Digital recreation of match outcomes for strategy analysis.
Scoring System: The structured point rules defining fantasy outcomes.
Team Balance: The ideal ratio of batsmen, bowlers, and all-rounders in a team.
Toss Impact: The influence of batting or bowling first on player performance.
Tracking: Monitoring real-time stats during live matches for learning.
Umpire’s Call: A decision upheld if original on-field judgment is marginal.
User Interface (UI): The visual design of Crick Playz, built for easy navigation and learning.
Utility Player: A versatile cricketer useful in multiple match roles.
Variance: Statistical measure showing score consistency or unpredictability.
Visualization: Graphical display of data trends to improve strategy understanding.
Vice-Captain: Player whose score earns 1.5× points in fantasy format.
Wicket: Dismissal of a batter — fundamental to bowling success.
Win Probability: Data-based prediction of match outcomes.
Workload Management: Monitoring player fatigue for sustainable performance.
X-Factor Player: A wildcard pick capable of changing match momentum unexpectedly.
Yorker: A delivery bowled at the batsman’s feet — tough to score from.
Yield Curve: Represents changing trends in player performance over time.
Zone Play: Fielding or batting strategies based on divided field zones.
Zero Risk Learning: The Crick Playz principle — learn and experiment safely without financial involvement.