# FACEIT Predictor vs Open WebUI

FACEIT Predictor records 0 monthly visits with — month-over-month growth and Free pricing. Open WebUI records 804,534 monthly visits with -2.8% growth and Freemium pricing.

| Metric | [FACEIT Predictor](https://openaitools.app/tool/faceit-predictor) | [Open WebUI](https://openaitools.app/tool/open-webui) |
| :--- | :--- | :--- |
| Website URL | https://chromewebstore.google.com/detail/faceit-predictor/plbhidhbocjfalcpofamaklaeecpplkd | https://openwebui.com |
| Categories | AI Sports Predictions, AI Predictions, AI Games, AI Copilot | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 | 804,534 |
| MoM Growth Rate | — | -2.8% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 299,835 |
| Review Score | 1.6 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Browser Extension | Website |

## 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)

## Open WebUI

Open WebUI is an open-source, self-hosted interface for working with AI models. Instead of renting access to a single vendor's chatbot, you run the interface on your own hardware or cloud tenancy, then connect whatever models you want: local runtimes such as Ollama, OpenAI-compatible endpoints, Anthropic, or a mix of local and remote. Everything a team produces — conversations, prompts, models, skills and tools — stays in an environment you administer.

The platform has grown well beyond a chat window. Retrieval-augmented generation, web search, document understanding, voice input and output, and vision are built in, and Python tools, functions and pipelines let developers script custom behaviour and share it. On the operations side it offers enterprise features such as SSO, role-based access control, audit logs, data residency options, and on-premises, hybrid or fully air-gapped deployment for regulated environments. White-labeling and custom branding are also available for organizations that want their own look.

Open WebUI is distributed free of charge under an open-source license and can be installed with a single pip or Docker command, with no account required to get running. A separate enterprise offering is available for organizations that want commercial support, compliance guarantees and managed rollout help, which is quoted on contact. A large community maintains a public hub of prompts, models, tools and functions, so much of what teams need is already shared and ready to install.

**Pricing & Plans:** The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact.

- **Any Model, Any Endpoint:** Connect local runtimes like Ollama alongside OpenAI-compatible and Anthropic APIs, and switch between them inside one interface.
- **Retrieval and Search Built In:** RAG over your own documents, web search and citation-aware answers come standard, so responses are grounded in real sources.
- **Python Tools, Functions and Pipelines:** Extend the platform with Python code to add custom tooling, preprocessing, and multi-step pipelines, then share them with others.
- **Enterprise Controls:** SSO, RBAC, audit logs, data residency, and on-premises, hybrid or air-gapped deployment for organisations with strict requirements.
- **Community Hub:** Browse and install prompts, models, skills and tools contributed by hundreds of thousands of community members.

**Strengths:** Free and open source with no account needed to install; Works with local and cloud models through a single interface; Strong privacy posture: your data and models stay on your infrastructure; Extensive enterprise features including SSO, RBAC and audit logs

**Limitations:** Self-hosting requires you to handle servers, updates and backups; Some enterprise capabilities and support sit behind a paid, quote-based tier; Feature depth means a learning curve for non-technical administrators; Local model performance depends heavily on your own hardware

[Profile (Markdown)](https://openaitools.app/tool/open-webui.md)

## Frequently Asked Questions

### How do FACEIT Predictor and Open WebUI compare in monthly traffic?

FACEIT Predictor has 0 monthly visits, while Open WebUI has 804,534. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

FACEIT Predictor has a month-over-month growth rate of —; Open WebUI has -2.8%.

### How does pricing compare?

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. Open WebUI: Freemium. The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Functions primarily as a lightweight CLI runtime for local models rather than a full-featured chat interface. | [.md](https://openaitools.app/tool/ollama.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 4 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Specializes in visual workflow building and RAG pipelines rather than serving purely as a chat interface. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Focuses on collaborative team AI workspaces and plugins, but shares similar open-source architectural goals. | [.md](https://openaitools.app/tool/lobehub.md) |
| 7 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Focuses heavily on privacy-first document chat and local RAG pipelines, but offers fewer general-purpose chat UI features. | [.md](https://openaitools.app/tool/anythingllm.md) |
| 8 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Offers robust multi-provider support and advanced user permission management, but has a slightly different configuration setup. | [.md](https://openaitools.app/tool/librechat.md) |
| 9 | [Jan](https://openaitools.app/tool/jan) | 291,894 | -9.6% | Free | Delivers a desktop-native application for running local models offline easily, but lacks Open WebUI's server-centric multi-user features. | [.md](https://openaitools.app/tool/jan.md) |
| 10 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Open-source AI automation that unifies agents, flows and 770+ app integrations | [.md](https://openaitools.app/tool/activepieces.md) |

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

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