According to AlphaMoat, as of 2026-06, the Chrome extension FACEIT Predictor has 10,000 users (+0% MoM), rated 4.2 (127 reviews) — ranked #428 of 10,567 AI browser extensions, and #131 of 2,272 in Workflow & Planning.
Predicts the outcome of your FACEIT matches using AI
Predicts the outcome of your FACEIT matches using AI ABOUT: FACEIT Predictor is powered by Machine Learning models that will help you maximize your winning chance in every public match on FACEIT. If available, data regarding the match, all of its players, and their 10 previous matches are collected on the client end. Then, all those stats are forwarded to a Machine Learning model previously trained and optimized on 60k+ FACEIT matches. FACEIT Predictor provides winning probabilities for every map and lets you choose wisely during the veto. Thus, it increases your winning odds and helps you climb the ELO ladder. Seamless integration with FACEIT.com and FACEIT Enhancer. FEATURES - Match Prediction: outputs winning probabilities for every map during veto phase - Auto Sort: reorders map elements during veto by decreasing winning probability - Smart Veto: vetoes the map with the lowest winning probability - Prediction Policy: selects which matches to predict (All; Only your Matches; Manual) CHROME EXTENSION https://chrome.google.com/webstore/detail/faceit-predictor/plbhidhbocjfalcpofamaklaeecpplkd/ FIREFOX EXTENSION https://addons.mozilla.org/en-US/firefox/addon/faceit-predictor/ SUPPORT Email us: faceitpredictor@gmail.com DISCLAIMER: FACEIT Predictor has no responsibility for the outcome of any match. FACEIT Predictor is not affiliated or endorsed by FACEIT. We do not collect any personal information except your Email ID, your public Faceit ID, and nickname used for authentication purposes. We will not share any data with anyone.
| Month | Users | MoM |
|---|---|---|
| 2026-03 | 10,000 | — |
| 2026-04 | 10,000 | +0.0% |
| 2026-05 | 10,000 | +0.0% |
| 2026-06 | 10,000 | +0.0% |
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Data month: 2026-06 · User counts and ratings come from public Chrome Web Store data, aggregated monthly. See methodology.