# Surfer Ranking Projection AI Agent Connect

> Forecast professional surfer year-end rankings and performance scenarios.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_uhnOH1giB0MqbZsw8pClqqRe5O3BmNYEe5p8s76s/ai-agent-connect
- **Tags:** surfing, ranking, projection, sports-analytics, performance

## Description

This MCP server provides tools to project professional surfing season outcomes. Use `get_projected_ranking` to predict final standings based on historical performance, `calculate_points_needed` to determine the specific placements required to reach a target, and `run_performance_scenarios` to model optimistic, conservative, and realistic outcomes. It also includes `compare_tour_formats` to evaluate how different point distributions impact ranking difficulty.

## Tools

### calculate_points_needed
Determines the specific requirements to reach a target goal

### compare_tour_formats
Evaluates how different event structures impact the difficulty of climbing the rankings

### get_projected_ranking
Predicts where a surfer will finish the season based on their average performance

### run_performance_scenarios
Provides a range of possible outcomes based on different performance levels

## Prompt Examples

**Prompt:** 
```
What is the projected year-end ranking for a surfer with 500 points, a history of [100, 150, 120], and 3 events remaining using a scale of [200, 150, 100]?
```

**Response:** 
```
The projected year-end points are 840 with a projected rank of 5.
```

**Prompt:** 
```
How many points does a surfer need to reach 1000 points if they currently have 750 and there are 2 events left with a scale of [200, 150, 100]?
```

**Response:** 
```
The surfer needs 250 more points. This requires at least one 1st place finish (200 points) and one 2nd place finish (150 points) or two 1st place finishes.
```

**Prompt:** 
```
Show me the performance scenarios for a surfer with 400 points, history of [80, 120, 100], and 4 events left with scale [150, 120, 90].
```

**Response:** 
```
The optimistic projection is 1000 points, the realistic projection is 880 points, and the conservative projection is 760 points.
```

## Frequently Asked Questions

**How accurate are the ranking projections?**
Projections are based on the athlete's historical performance and the specific point scales of the remaining events. While they provide a statistical forecast, actual results depend on real-world competition outcomes.

**Can I model different tour formats?**
Yes, you can use `compare_tour_formats` to see how different point distributions affect the difficulty of climbing the rankings.

**What data is required for a projection?**
To use `get_projected_ranking`, you need the current points, a list of points from previous events (performance history), the number of remaining events, and the point scale for those events.