Add PandaScore Verification to Mobile Legends: Bang Bang
Tournament Suite uses PandaScore's esports data API for one focused job today: cross-checking submitted Mobile Legends: Bang Bang (MLBB) match results against PandaScore's official match data, giving admins a confidence-scored suggestion to weigh alongside the player's screenshot before approving a result.
Key Features
MLBB Match Verification
When a Mobile Legends: Bang Bang result is submitted, we query PandaScore's match data for that title and check it against what was reported, giving admins a data point to work from alongside the player's screenshot.
Confidence-Scored Suggestions
Each cross-check returns a confidence level — high, medium, low, or none — based on how closely PandaScore's match data lines up with the two teams involved, so admins know how much weight to give the suggestion.
Human-in-the-Loop Review
PandaScore's suggestion is a hint, not a verdict. A human admin reviews the pending result alongside the suggestion and screenshot, then explicitly approves or rejects it.
Per-Project API Key
Your PandaScore API key is stored securely per project and resolved automatically when a Mobile Legends: Bang Bang result needs verification — no shared or hardcoded credentials.
Screenshot Still Required
PandaScore lookups supplement, not replace, the existing screenshot-based match reporting flow already used for Mobile Legends: Bang Bang results.
Graceful Fallback
If PandaScore doesn't have a match on file or the lookup fails, review simply falls back to the screenshot alone — no interruption to your tournament.
From Submitted Result to Admin Decision
Add Your PandaScore Key
Enter your PandaScore API key once in your project's game integration settings. It's stored securely and used only for Mobile Legends: Bang Bang match verification.
Player Submits a Result
Players or organizers report a Mobile Legends: Bang Bang match result the usual way, with an optional screenshot as evidence.
Result Awaits Review
The submitted result lands in the admin's pending-review queue alongside any screenshot that was attached.
PandaScore Cross-Check Runs
We look up the match on PandaScore and compare the reported teams and winner against what PandaScore has on file.
Admin Sees a Confidence Hint
The admin reviewing the result sees a confidence-scored suggestion — high, medium, low, or none — next to the screenshot.
Admin Approves or Rejects
Using the PandaScore hint and the screenshot together, the admin makes the final call to approve or reject the result.
Use Cases
How Admins Use PandaScore Data
Catch Reporting Mistakes Early
When a player reports the wrong winner or a mismatched score for a Mobile Legends: Bang Bang match, a PandaScore cross-check can flag the discrepancy before an admin approves it.
A Second Opinion on Disputed Results
When two players submit conflicting accounts of the same Mobile Legends: Bang Bang match, PandaScore's confidence-scored suggestion gives the reviewing admin an independent data point to weigh alongside the screenshots.
Faster Admin Review Queue
Instead of manually searching for external match data, admins reviewing pending Mobile Legends: Bang Bang results get a PandaScore-sourced suggestion right in the review screen.
FAQ
PandaScore Integration — Frequently Asked Questions
Add PandaScore Verification to Mobile Legends: Bang Bang
Add your PandaScore API key and give admins a confidence-scored second opinion on submitted Mobile Legends: Bang Bang results.
Connect PandaScore