Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Cricket Statz offers an online platform designed to manage statistics and results for various cricket organizations, including national bodies, leagues, associations, clubs, and even individual teams. Featuring more than 120 statistical reports, this service is accessible to multiple users without the need for any software installation or downloads. It is compatible with any device that has internet access, whether it's a PC, Mac, laptop, tablet, or mobile phone. Users can input match scorecards directly or import them from numerous sources, such as national organizations and scoring applications. The system allows for the electronic collection of scorecards, enabling the entry of completed scorecards, historical summaries, or live scores complete with ball-by-ball commentary. Match results and ladders can be published in real-time directly from a web browser. With truly multi-user capabilities, Cricket Statz accommodates an unlimited number of users and generates real-time statistics and web pages covering leagues, clubs, teams, and individual players. It also provides support for historical data entry, allowing users to input summarized statistics without having to enter full scorecards, making it a highly efficient tool for cricket management. This comprehensive functionality ensures that cricket organizations can easily track and analyze their performance over time.
Description
Introducing an exceptionally user-friendly scoring system specifically designed for small to medium-sized credit institutions, crafted by scoring specialists. This tool delivers precisely what you need for effective real-time scoring, focusing solely on scoring without any outdated, complicated features. It boasts the most favorable cost-to-value ratio available in the industry and can be operational within just a few days. Thanks to its intuitive wizard-based scorecard modeling interface, users find it easy to navigate. You can also monitor and validate scorecards with a selection of pre-defined reports. The system incorporates Reject Inference through both automated and manual methods, alongside automated binning utilizing chi-square techniques and manual binning based on Weight of Evidence (WOE). Additionally, it offers both automatic and manual sampling options, along with graphical statistics to visualize data insights. Users can filter, sort, and reassign portfolio data into “Good” and “Bad” categories, while numeric variables can easily be transformed into categorical forms. Furthermore, it provides correlation coefficients for each variable pair, both before and after the binning process, ensuring comprehensive analysis and understanding of the dataset. With this robust scoring system, credit organizations can enhance their decision-making processes efficiently.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$9950 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Red Axe
Website
www.cricketstatz.com
Vendor Details
Company Name
Plug&Score
Founded
2005
Country
Netherlands
Website
plug-n-score.com
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization