The UFC has introduced an AI-powered ranking system running alongside the existing media-voted rankings, with the latter still influencing matchmaking. The new system removes long-established veterans such as Vera, Ortega, Emmett, Dariush, Lewis, and Andrade from divisional top-15s, and notably excludes an overall pound-for-pound list, which the UFC explained as being too subjective. Critics have pointed to apparent inconsistencies, including a flyweight ranked tenth with a 2-4 UFC record and no finishes, ranking five places above a more active and accomplished opponent, raising questions about whether quality of opposition is adequately weighted in the model.
The UFC has rolled out an artificial intelligence-powered ranking system, running in parallel with its existing media-voted rankings, sparking immediate debate across the combat sports community over methodology and apparent anomalies.

The new system draws on algorithmic evaluation rather than voter consensus, though the UFC confirmed that the traditional media-voted rankings will continue to influence matchmaking decisions. Notably absent from the AI model is an overall pound-for-pound list, which the organization attributed to the inherently subjective nature of cross-divisional comparisons.

The removals have generated the loudest criticism. Several long-established veterans — including Vera, Ortega, Emmett, Dariush, Lewis, and Andrade — have been dropped from their respective divisional top-15s entirely, suggesting the model weights recent activity or performance metrics heavily. On the other end of the debate, a flyweight ranked tenth despite holding a 2-4 UFC record with no finishes sits five places above a more active and demonstrably more accomplished opponent, raising pointed questions about how quality of opposition is factored into the algorithm.

Why it matters
- Veterans with proven résumés but recent inactivity or losses are being displaced, potentially affecting matchmaking leverage and pay negotiations.
- The absence of a pound-for-pound list removes a benchmark that fighters, managers, and fans have long used to contextualize cross-divisional excellence.
- Inconsistencies in flyweight placement suggest opposition quality may be underweighted, which could reward fighters who accumulate wins against weaker fields.
- Running two ranking systems simultaneously creates competing narratives around who legitimately deserves title contention, complicating the path to big fights.
The dual-system approach leaves the sport in an unusual position: algorithmic outputs flagging inconsistencies that human voters might naturally correct, while neither system holds sole authority over the matchmaking process.





















