# Cursor vs FACEIT Predictor

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. FACEIT Predictor records 0 monthly visits with — growth and Free pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [FACEIT Predictor](https://openaitools.app/tool/faceit-predictor) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://chromewebstore.google.com/detail/faceit-predictor/plbhidhbocjfalcpofamaklaeecpplkd |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Sports Predictions, AI Predictions, AI Games, AI Copilot |
| Pricing Model | Freemium | Free |
| Monthly Visits | 23,297,751 | 0 |
| MoM Growth Rate | +8.4% | — |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 0 |
| Review Score | 4.7 | 1.6 |
| Saved Count | 29 | 0 |
| Supported Platforms | Website | Browser Extension |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## FACEIT Predictor

FACEIT Predictor targets the map veto, the moment in a FACEIT match where the two teams ban and pick maps. Because the veto often decides a game before the first round starts, having a statistical read on each map is genuinely useful. The extension gathers whatever public lobby data is available on the client side, including the recent match history of the ten players in the lobby, and forwards it to a trained model that returns a win probability for each map in the pool.

The results are presented inside the normal FACEIT interface, so you do not have to leave the site or open a separate dashboard. The extension integrates alongside FACEIT.com and works with FACEIT Enhancer, a popular companion plugin. If you want more automation, an Auto Sort option reorders the map list by descending probability and a Smart Veto mode can automatically veto your weakest map.

A Prediction Policy setting decides which matches get analysed: all matches you view, only your own matches, or a manual selection. The tool is a free Chrome and Firefox extension distributed through the official browser stores, and it explicitly states it is not affiliated with FACEIT and takes no responsibility for match outcomes. It only asks for an email, your public FACEIT ID and a nickname for authentication.

**Pricing & Plans:** Free. FACEIT Predictor is distributed as a free Chrome and Firefox extension with no subscription or in-app purchase shown on its store listing.

- **Per-map win probabilities:** Outputs a predicted winning probability for every map during the veto phase so you know where your lobby is strongest.
- **Auto Sort by odds:** Reorders the map elements in the veto by decreasing winning probability, putting the best options first.
- **Smart Veto:** Automatically bans the map with the lowest predicted winning probability, removing the weakest pick from the pool.
- **Prediction Policy control:** Choose whether to predict all matches you view, only your own matches, or a manual selection.
- **FACEIT Enhancer integration:** Blends into FACEIT.com and works alongside the widely used FACEIT Enhancer plugin without extra setup.

**Strengths:** Free to install and use with no subscription; Integrates directly into the FACEIT interface during veto; Trained on a large corpus of real FACEIT matches; Optional automation with Auto Sort and Smart Veto

**Limitations:** Extension version has not been updated since 2022; Predictions are statistical estimates and can be wrong; Depends on publicly available lobby data being present; Not affiliated with or endorsed by FACEIT

[Profile (Markdown)](https://openaitools.app/tool/faceit-predictor.md)

## Frequently Asked Questions

### How do Cursor and FACEIT Predictor compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while FACEIT Predictor has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; FACEIT Predictor has —.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. FACEIT Predictor: Free. Free. FACEIT Predictor is distributed as a free Chrome and Firefox extension with no subscription or in-app purchase shown on its store listing.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Delivers a polished AI-native IDE experience with multi-file generation, but has a smaller ecosystem than Cursor. | [.md](https://openaitools.app/tool/trae.md) |
| 9 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |
| 10 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Excels at enterprise-grade context engines and team workflows, but is heavier to set up than Cursor. | [.md](https://openaitools.app/tool/augment-code.md) |

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Source: https://openaitools.app/compare/cursor-vs-faceit-predictor

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