Duration: 4 lessons (50 minutes each) | Year Level: 8
Deep dive into performance trends, probability, and data visualisation using real New Zealand sports datasets
"What can NZ sports data tell us about performance trends, and how do we predict future outcomes?"
In MÄori culture, physical competition (whakataetae) has deep roots - from traditional kÄ«-o-rahi to modern rugby. Sports data tells stories of mana, community pride, and cultural identity. When we analyse All Blacks or Black Caps performance, we're not just looking at numbers - we're examining how Aotearoa represents itself to the world.
Focus: Comparing different types of sports statistics and what they reveal
Hook: Display these mystery statistics without revealing which team they belong to:
Student Challenge: Guess which sports and teams these represent. Discuss what clues the numbers give us.
Kaiako: these rows are a worked sample so the class can practise the calculations, not the All Blacks’ actual record. Once Äkonga can compute win % and points differential, send them to a real source (NZ Rugby, ESPNscrum) to rebuild the table for a season of their choosing and compare what they find.
| Year | Matches Played | Wins | Losses | Win % | Points For | Points Against |
|---|---|---|---|---|---|---|
| 2024 | 8 | 6 | 2 | 75% | 187 | 142 |
| 2023 | 13 | 12 | 1 | 92% | 398 | 221 |
| 2022 | 14 | 10 | 4 | 71% | 362 | 298 |
| 2021 | 15 | 12 | 3 | 80% | 456 | 312 |
Individual (3 min): Students complete each prompt about the sample results table above
Pair (4 min): Share observations and questions with a partner
Share (3 min): Pairs share one interesting "wonder" question with the class
Students write a 3-sentence "data story" about the performance shown in the sample table, using evidence from it. Must include at least one calculation and one cultural connection.
Example: "Using the sample table above, this team won 40 of its 50 matches across the four seasons shown — 80.0%. (Averaging the four yearly percentages instead gives 79.5%; that is a different quantity, because the seasons do not have equal numbers of matches.) Its strongest defensive season was 2023, at 221 ÷ 13 ≈ 17.0 points conceded per game. Now rebuild the table from a real source for a season you choose, and write the same paragraph about what you actually find — that is how a national team (rÅpÅ« taonga) maintains Aotearoa's sporting mana on the world stage."
Focus: Understanding distributions, quartiles, and outliers using digital tools
Visual Hook: Show three unlabeled box plots representing:
Students guess which is which based on median, range, and quartile positions.
Data includes: Player names, career span, matches played, runs scored, batting average, highest score
Cultural Note: This dataset spans from Martin Donnelly (1937-1949) to current players, showing how cricket has evolved in Aotearoa over generations.
Scenario: "You're the Black Caps selector. Using the box plot analysis, write selection criteria for choosing batsmen for the next Test series."
Success Criteria:
Focus: Using historical data to calculate probabilities and make predictions
Look it up first: find the results of the last 20 All Blacks v Australia tests (NZ Rugby or Rugby Museum stats pages) and count the wins. Everyone in the room should agree on the number before anyone calculates — that argument IS the statistics.
If you cannot get online today, work the questions below with 14 wins from 20 as a stand-in, and say plainly that it is a stand-in.
Quick Questions:
Eden Park record: the All Blacks’ unbeaten run at Eden Park is famous — find the current number and the year it started, and note who you got it from.
Test Series Record: find the Black Caps' actual home, away and neutral-venue win rates against England (ESPNcricinfo or NZ Cricket stats) and note who you got the figures from.
Qualification History: look up how many FIFA World Cups the All Whites have actually qualified for, and out of how many attempts, citing your source (FIFA or NZ Football).
Scenario 1: Rugby World Cup Pool Play
Suppose a team faces 4 pool opponents and, from past meetings, its win rates against them are 85%, 92%, 78% and 89%. These are made-up figures for the calculation.
Calculate: What's the probability they win all 4 pool games?
Scenario 2: Black Caps Batting Collapse
Suppose a side is bowled out for under 200 in 15% of its innings. Made-up figure for the calculation.
Calculate: What's the probability this happens in neither innings of a Test match?
Scenario 3: Whakatane Weather Impact
Local ground has 30% chance of rain affecting play. If rain occurs, there's 60% chance the match is abandoned.
Calculate: What's the probability of a match being completed?
Traditional MÄori games like kÄ«-o-rahi and tapawai involved strategic thinking about likelihood and risk assessment. Modern sports betting and probability concepts connect to traditional decision-making processes.
Discussion Questions:
Focus: Synthesising analysis into compelling visual communication
"Sports Journalist Challenge": Students receive these briefs and choose one:
Digital Tools Available:
Gallery Walk Protocol:
ā Stars: "One thing that really worked well was..."
š Wishes: "I wish I could see more about..." or "Have you considered..."
Summative Assessment: Create an infographic comparing two NZ sports teams using statistical analysis, probability concepts, and cultural context.
Weight: 25% of unit grade | Due: End of Week 2
| Criteria | ACHIEVED (50-64%) | MERIT (65-84%) | EXCELLENCE (85-100%) | Not Achieved (0-49%) |
|---|---|---|---|---|
| Statistical Analysis | Uses basic statistics correctly. Shows simple comparisons. | Uses range of statistical measures. Shows trends and patterns. | Sophisticated statistical analysis. Makes insightful connections. | Minimal or incorrect use of statistics. |
| Data Visualisation | Creates appropriate charts. Clear labels and titles. | Effective visual design. Charts support arguments well. | Professional visualisation. Creative and impactful design. | Poor or missing visualisations. |
| Probability Concepts | Shows basic understanding. Simple probability calculations. | Applies probability to predictions. Shows compound probability. | Uses probability creatively. Makes sophisticated predictions. | Little evidence of probability understanding. |
| Cultural Integration | Includes Te Reo terms. Basic cultural context. | Meaningful cultural connections. Appropriate use of Te Reo. | Deep cultural insights. Sports as cultural expression. | Minimal cultural awareness. |
| Communication | Clear presentation. Basic design principles. | Engaging presentation. Good visual hierarchy. | Compelling communication. Professional presentation. | Unclear or poorly presented. |
"Kia kaha ki te whakataetae!"
Be strong in competition!
Through analysing our national sports teams, we understand how data tells the stories of Aotearoa's athletic excellence and cultural pride on the world stage.
Students will develop statistical investigation skills ā tÅ«huratanga raraunga ā through authentic data contexts drawn from Aotearoa New Zealand. Using real datasets about MÄori communities, sport, environment, and society, students will learn to question, collect, analyse, and communicate statistical findings with cultural awareness and critical thinking.
Scaffold support: Provide pre-structured investigation templates and graph frameworks for entry-level learners. Offer extension tasks requiring students to conduct an independent investigation on a topic of their choice, including a written analysis and critical evaluation of their own statistical process.
ELL / ESOL: Pre-teach statistics vocabulary (mean, median, mode, range, sample, population). Use visual data displays and real-world datasets students can connect to personally. Allow oral explanation of statistical reasoning before written tasks.
Inclusion: Offer calculator and digital tools access to all learners. Neurodiverse learners benefit from structured inquiry cycles, visual data displays, and real-world data that provides motivating authentic context. Ensure graph-reading activities include both visual and tabular formats.
MÄtauranga MÄori lens: Connect tÅ«huratanga (statistical inquiry) to traditional MÄori practices of observation, pattern recognition, and knowledge-making through careful attention to the natural and social world. Use datasets about MÄori communities, land, or environmental trends ā with attention to the ethics of data sovereignty (who owns data about MÄori communities and how should it be used). The maramataka itself is a sophisticated data system encoding centuries of ecological observation.
Prior knowledge: Best used after foundational number and measurement skills. Builds on Year 7 statistics exposure.