AI-assisted editorial grounded in Fight Detective’s stored fight and ELO data.
Kai Asakura is an orthodox fighter who has competed in the UFC at flyweight and bantamweight. The Fight Detective snapshot lists him at 172.72 cm tall with a 175.26 cm reach, and records 4 total fights in the underlying fighter table, with an ELO record covering 3 scored fights. Across the three bouts listed in his recent fight log, Asakura is 1–2 with no draws or no contests. Both of his losses came by submission in Round 2, first against Alexandre Pantoja at UFC 310: Pantoja vs. Asakura on 2024-12-07, and then against Tim Elliott at UFC 319: Du Plessis vs. Chimaev on 2025-08-16. He returned on 2026-05-30 at UFC Fight Night: Song vs. Figueiredo and earned a Round 1 KO/TKO win over Cameron Smotherman at bantamweight. His career summary in this dataset attributes his single win to a knockout, with no submission or decision wins recorded, and his two losses to submissions. As of the last update in the snapshot, he does not have a listed current rank.
From the available stats, Asakura profiles as a lower-volume striker in this dataset. He is credited with 2.27 significant strikes landed per minute (SLpM) while absorbing 3.53 per minute (SApM), suggesting he has often been out-landed on pace over the recorded sample. His listed striking defense is 52%, which indicates he avoids just over half of opponents’ significant strike attempts, but the higher SApm implies opponents have still found ways to connect at a meaningful rate. The clearest pattern in the provided results is finishing variance: all three recent bouts ended inside the distance, with one Round 1 KO/TKO win and two Round 2 submission losses. Factually, that means his recent fights have not required extended scorecard management, and outcomes have been decided by decisive moments rather than decisions. On the grappling side, the snapshot lists 0.00 takedowns average and 0.00 submissions average, and a 50% takedown defense. With only three logged fights in the ELO sample, careful inference is limited; however, the combination of two submission losses and no recorded offensive grappling output in these stats suggests his recent results have not been driven by sustained takedown offense, and that grappling defense has been a key swing factor when fights hit the mat.
Recency-weighted skill · finish-adjusted · streak-amplified
Rate-normalized career statistics (per 15 minutes, except strike rates which are per-minute)
Win rate when fighting as favorite vs underdog
As Favorite
50%
1W – 1L in 2 fights
As Underdog
0%
0W – 1L in 1 fights
Skill rating evolution — hover dots for fight details
Rating gained or lost in each fight
Bantamweight · Active fighters ranked by recency-weighted skill