CP

Crick Playz

Learn • Play • Analyze

Glossary of Cricket & Fantasy Terms

Understand every concept that shapes fantasy cricket — from batting stats to predictive models.

A–Z Cricket Learning Index

A — Analytics to All-Rounder

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.

B — Batting to Bonus Points

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.

C — Captain to Catch Efficiency

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.

D — Data to Dream Teams

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.

E — Economy to Ethics

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.

F — Fantasy Points to Fair Play

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.

G — Game Theory to Growth Mindset

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.

H — Hat-Trick to Heat Maps

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.

I — Impact Player to Innings

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.

J — Jersey Number to Judgement

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.

K — Key Players to Knockout Stage

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.

L — Leaderboard to Lineup Logic

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.

M — Match Simulation to Metrics

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.

N — Net Run Rate to Not-Out

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.

O — Over to Optimization

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.

P — Pitch Report to Predictive Model

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.

Q — Qualifier to Quick Runs

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.

R — Run Rate to Responsible Learning

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.

S — Strike Rate to Simulation

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.

T — Team Balance to Toss Impact

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.

U — Umpire Call to User Interface

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.

V — Variance to Visualization

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.

W — Wicket to Win Probability

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 — X-Factor Player

X-Factor Player: A wildcard pick capable of changing match momentum unexpectedly.

Y — Yorker to Yield Curve

Yorker: A delivery bowled at the batsman’s feet — tough to score from.

Yield Curve: Represents changing trends in player performance over time.

Z — Zone Play to Zero Risk Learning

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.