# AFL Fixtures, Results, Model Tips & Ladder (`mrdoe/afl-fixtures-results-tips-ladder`) Actor

AFL season data: fixtures and results with scores and venues, predicted winners and margins from about 30 forecasting models per game, and the ladder. Any season, no login.

- **URL**: https://apify.com/mrdoe/afl-fixtures-results-tips-ladder.md
- **Developed by:** [MrDoe](https://apify.com/mrdoe) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 row returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

![AFL Fixtures, Results, Model Tips & Ladder - AFL fixtures, results, the ladder and every forecasting model's tip for each game.](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/afl-fixtures-results-tips-ladder--hero.png)

### What does AFL Fixtures, Results, Model Tips & Ladder do?

AFL Fixtures, Results, Model Tips & Ladder returns Australian Football League data by season and round. Games gives one row per match with the teams, venue, start time, status, goals, behinds, total scores and margin. Tips gives one row per forecasting model per game, about 30 public models, with the tipped team, predicted margin, home win probability and whether the tip was correct once the game is played. Ladder gives the standings with points and percentage.

### Why use AFL Fixtures, Results, Model Tips & Ladder?

- Fixtures, results, tips and ladder in one Actor.
- About 30 forecasting models compared per game.
- Scores split into goals, behinds and total.
- Any season and round.
- Free of login and API keys.

### What makes this different

Most AFL data is a single results table. This Actor adds every public forecasting model's tip for each game, with predicted margin and probability, so you can compare models or benchmark your own against them.

### How it works

![AFL Fixtures, Results, Model Tips & Ladder workflow: your input, collection, output](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/afl-fixtures-results-tips-ladder--how-it-works.png)

1. **Your input** — choose Games, Tips or Ladder, and a season.
2. **The Actor collects it** — optionally narrow to one round.
3. **Your output** — you get one row per game, per model tip, or per team.

### What data can you extract?

The dataset has 43 fields per row:

| Field | Type | Description |
|---|---|---|
| `gameId` | integer | Game ID. |
| `season` | integer | Season. |
| `round` | integer | Round number. |
| `roundName` | string | Round name, for example Grand Final. |
| `isFinal` | boolean | True for finals games. |
| `isGrandFinal` | boolean | True for the Grand Final. |
| `startTime` | string | Start time (ISO 8601, UTC). |
| `localTime` | string | Start time at the venue. |
| `timezone` | string | Venue timezone offset. |
| `venue` | string | Venue. |
| `home` | string | Home team. |
| `away` | string | Away team. |
| `status` | string | scheduled, live or complete. |
| `homeScore` | integer | Home total points. |
| `awayScore` | integer | Away total points. |
| `homeGoals` | integer | Home goals. |
| `homeBehinds` | integer | Home behinds. |
| `awayGoals` | integer | Away goals. |
| `awayBehinds` | integer | Away behinds. |
| `margin` | integer | Home margin (home minus away). |
| `winner` | string | Winning team. |
| `timeText` | string | Game clock text, for example Full Time. |
| `model` | string | Forecasting model that made the tip. |
| `tip` | string | Team the model tipped. |
| `predictedHomeMargin` | number | Predicted home margin in points. |
| `homeWinProbability` | number | Model's home win probability in percent. |
| `tipConfidence` | number | Confidence in the tipped team in percent. |
| `correct` | boolean | Whether the tip was right (null before the game ends). |
| `error` | number | Margin error in points once played. |
| `bits` | number | Log score of the tip. |
| `updatedAt` | string | When the tip was last updated. |
| `rank` | integer | Ladder position. |
| `team` | string | Team. |
| `played` | integer | Games played. |
| `wins` | integer | Wins. |
| `losses` | integer | Losses. |
| `draws` | integer | Draws. |
| `points` | integer | Ladder points. |
| `percentage` | number | Percentage (points for divided by against). |
| `pointsFor` | integer | Points for. |
| `pointsAgainst` | integer | Points against. |
| `goalsFor` | integer | Goals for. |
| `goalsAgainst` | integer | Goals against. |

### How to use AFL Fixtures, Results, Model Tips & Ladder

![AFL Fixtures, Results, Model Tips & Ladder input form](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/afl-fixtures-results-tips-ladder--input.png)

1. Open the Actor and go to the **Input** tab.
2. Pick the **Data** type and **Season**, add a **Round** if you want one round, and press Start. Set **Max results** to 0 for everything.
3. Optionally set filters and a **Max results** limit.
4. Click **Start**. A default run finishes in under a minute.
5. Open the **Output** tab, then download the dataset or connect it to your tools.

### Input Parameters

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `dataType` | string | No | `"games"` | Fixtures and results, predictions from about 30 forecasting models, or the ladder. |
| `season` | string | No | `"2026"` | Four-digit season, for example 2025. Leave empty for the current season. |
| `round` | integer | No | — | Only this round number (0 is the opening round). Leave empty for the whole season. Ignored for the ladder. |
| `maxResults` | integer | No | `5` | Maximum number of rows returned. Default is 5 for a quick test; set 0 to return everything available. |
| `proxyConfiguration` | object | No | `{"useApifyProxy":false}` | Optional. The data is public and works without a proxy. |

### Output Data

![AFL Fixtures, Results, Model Tips & Ladder dataset table](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/afl-fixtures-results-tips-ladder--output.png)

Games rows carry `homeScore`, `awayScore`, `margin`, `venue` and `status`. Tips rows carry the `model`, its `tip`, `predictedHomeMargin` and `homeWinProbability`, and `correct` once the game is played.

![AFL Fixtures, Results, Model Tips & Ladder field map of one record](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/afl-fixtures-results-tips-ladder--fields.png)

A real dataset item:

```json
{
  "gameId": 38494,
  "season": 2026,
  "round": 0,
  "roundName": "Opening Round",
  "isFinal": false,
  "isGrandFinal": false,
  "startTime": "2026-03-05T08:30:00.000Z",
  "localTime": "2026-03-05 19:30:00",
  "timezone": "+11:00",
  "venue": "S.C.G.",
  "home": "Sydney",
  "away": "Carlton",
  "status": "complete",
  "homeScore": 132,
  "awayScore": 69,
  "homeGoals": 20,
  "homeBehinds": 12,
  "awayGoals": 10,
  "awayBehinds": 9,
  "margin": 63,
  "winner": "Sydney",
  "timeText": "Full Time"
}
```

### Usage Examples

#### 2026 season fixtures and results

```json
{
  "season": "2026",
  "maxResults": 0
}
```

#### Model tips for round 10

```json
{
  "dataType": "tips",
  "season": "2026",
  "round": 10,
  "maxResults": 0
}
```

#### 2025 final ladder

```json
{
  "dataType": "standings",
  "season": "2025",
  "maxResults": 0
}
```

### Tips for Best Results

- Default is 5 results for a fast test. Set the max to 0 to return everything available.

### Known Limitations

- Tips for games far in the future may not exist yet.
- Player and match-statistics data are not included.
- Tip times are venue local time (`localTime`).
- Prior seasons' tips include the models available in that year.

### Integrations

Run it from the Apify API, on a schedule, or from a webhook. Send results straight to Google Sheets, Make, Zapier, Slack or your own database with Apify's built-in integrations.

### Export Formats

Download the dataset as JSON, CSV, Excel, XML, HTML table or RSS from the **Output** tab or the API.

### Frequently Asked Questions

#### Does it need an account or API key?

No. The Actor reads public data and needs no account or key.

#### Am I charged for failed results?

No. You are only charged for results that are written to the dataset.

#### Do I need an account or login?

No. The Actor reads public data and needs no account or key.

#### Am I charged for failed runs or empty results?

You are only charged for results that are actually written to the dataset.

#### Can I run it on a schedule?

Yes. Create a Task with your input and add a schedule in Apify Console. With monitor mode on, each scheduled run returns only what changed since the previous one.

### Support

Questions or a missing field? Open an issue from the **Issues** tab on this Actor's page and it will be looked at.

### Legal / Responsible Use

You are responsible for using the data in line with the source's terms and applicable law. The Actor collects publicly available data only and is not affiliated with the source.

# Actor input Schema

## `dataType` (type: `string`):

Fixtures and results, predictions from about 30 forecasting models, or the ladder.

## `season` (type: `string`):

Four-digit season, for example 2025. Leave empty for the current season.

## `round` (type: `integer`):

Only this round number (0 is the opening round). Leave empty for the whole season. Ignored for the ladder.

## `maxResults` (type: `integer`):

Maximum number of rows returned. Default is 5 for a quick test; set 0 to return everything available.

## `proxyConfiguration` (type: `object`):

Optional. The data is public and works without a proxy.

## Actor input object example

```json
{
  "dataType": "games",
  "season": "2026",
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "season": "2026",
    "maxResults": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("mrdoe/afl-fixtures-results-tips-ladder").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "season": "2026",
    "maxResults": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("mrdoe/afl-fixtures-results-tips-ladder").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "season": "2026",
  "maxResults": 5
}' |
apify call mrdoe/afl-fixtures-results-tips-ladder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrdoe/afl-fixtures-results-tips-ladder"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/EYhrd1kZ7hFc4rCLB/builds/OTgBnQvgmGUKPyKWe/openapi.json