Data Integrity Testing in Live Sports Prediction Systems
Complex System Testing for Real-Time Sports Predictions
The client’s platform enabled users to make real-time predictions on global sports events. Our task was to validate the entire system under dynamic conditions, ensuring that data flowing through APIs, user interfaces, and backend systems remained consistent and reliable. The project aimed to simulate real-world usage, verify business logic execution, and safeguard the end-user experience.
Real-world scenarios validated
Data consistency
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Validated 10+ live international sports events
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Ensured bug-free financial transactions and payout logic
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Supported production-readiness for regulatory compliance
Tools we Used
Validating Real-Time Prediction Accuracy at Scale
Layered Manual Testing for High-Risk Sports Prediction Logic
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Designed 120+ E2E scenarios simulating real-user actions
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Validated full deposit-to-withdrawal flows using sandboxed financial tools
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Cross-verified real-time data with match feed using Kafka and API logs
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Performed UI/API/DB consistency checks for every live event
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Simulated match outcomes to verify result and bonus logic
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Coordinated test data masking and synthetic KYC simulation
What we did?
User Flow Simulation
Live Feed Validation
System Data Sync
Multi-Channel Alerts
User Flow Simulation
We designed and executed realistic end-to-end user flows from account creation and KYC verification to submitting predictions and withdrawing rewards. Each journey was tested thoroughly for functional correctness and data consistency across all system layers. We verified that results were accurately processed and reflected in both the UI and backend records for a seamless experience.
Live Feed Validation
We closely monitored the integration of live score feeds through Kafka and API endpoints, ensuring all updates were displayed in near real-time. Over ten live international events were tracked to confirm accurate data reflection, timely result calculations, and appropriate system triggers. This validation was key to maintaining the app’s reliability during live use.
System Data Sync
We focused on confirming synchronization across the UI, API, and database layers during live match activity. Every critical data point, like score updates, prediction outcomes, and wallet balances, was checked for alignment. Our tests ensured that dynamic updates during events were accurately recorded and presented across the platform without discrepancies or lag.
Multi-Channel Alerts
Our team validated that all key system actions, such as new predictions, result confirmations, bonus updates, and withdrawals, triggered the correct notifications. These were tested across push, email, and SMS channels using sandbox environments. We ensured message accuracy, timing, and delivery to create a responsive and informative user communication experience.
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