Blog

Notes from the tournament floor

Guides for teachers, playbooks for federations, and updates from the team building the platform.

School Esports cover: Sustainable leagues without prize money, with an abstract tiled pattern.

How to make a school esports league sustainable without prize money

A sustainable school esports league shouldn’t rely on prize money or sponsors to survive. Here’s why charging a fair entry fee, creating real value for schools and prioritising consistency can build a healthier league that lasts.

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School Esports cover: NZ Esports: league administration, with an abstract dots pattern.

How NZ Esports reduced school league administration with School Esports

Jonathan Jansen's first-person account of moving routine league coordination into School Esports and making more room for school support.

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School Esports cover: GDPR and student-data processing, with an abstract diamonds pattern.

GDPR and school esports: assessing a platform's student-data processing

Make student-data processing part of your platform-buying decision. Check roles, permissions, access, transfers and retention against the actual agreement.

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School Esports cover: School Esports vs Toornament, with an abstract staggered tiles pattern.

School Esports vs Toornament for scholastic league operators

Compare tournament tools and school workflows, then ask School Esports and Toornament to demonstrate the same teacher, student, match and billing scenarios.

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School Esports cover: School Esports, PlayVS and LeagueSpot, with an abstract tracks pattern.

School Esports vs PlayVS and LeagueSpot: choosing an operating model

Choose between entering an existing competition and operating your own branded league. Compare the actual school workflows, support and responsibilities.

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School Esports cover: Measuring participation and school retention, with an abstract dotted field pattern.

Measuring participation, retention and school re-enrolment

Define the counts behind entries, actual play, season completion and school return, with fixed cohorts and clearly labelled examples.

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