UFC Fight Night: Song vs. Figueiredo: Predictions & Analysis
UFC Fight Night: Song vs. Figueiredo lands on Saturday, May 30, 2026 in Macau, China with 4 bouts on the card. Below is our fight-by-fight breakdown, combining Elo ratings, rolling statistical trends, style matchup data, and betting market context into a pick for every bout.
Quick Picks
| Matchup | Pick | Confidence | Prob |
|---|---|---|---|
| Song Yadong vs Deiveson FigueiredoBantamweight | Song Yadong | Confident | 71% |
| Sergei Pavlovich vs Tallison TeixeiraHeavyweight | Tallison Teixeira | Toss-up | 53% |
| Zhang Mingyang vs Alonzo MenifieldLight Heavyweight | Zhang Mingyang | Lean | 60% |
| Alex Perez vs SumudaerjiFlyweight | Sumudaerji | Toss-up | 54% |
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Song Yadong vs Deiveson Figueiredo
The Bantamweight matchup features Song Yadong (11-4-2) taking on Deiveson Figueiredo (14-6-2). There's a 3-inch height gap favoring Yadong.
The Elo gap here is razor-thin — Yadong at 1631, Figueiredo at 1612. On paper, this is as close to a coin flip as it gets.
The style clash matters here: Yadong pushes forward relentlessly, throwing volume and pressuring opponents against the cage, while Figueiredo looks to close distance and put the fight on the mat. In our database, wrestlers own a 57% win rate against brawlers, giving Figueiredo the stylistic edge.
A few statistical edges stand out. Yadong throws significantly more leather — a 2.5 sig. strike per minute gap. Figueiredo is far more active with takedowns, averaging 0.5 more per 15 minutes. Yadong has tighter striking defense, making opponents miss more often.
The Pick: Song Yadong over Deiveson Figueiredo. We're leaning Yadong here at 71%, a solid but not overwhelming edge.
Sergei Pavlovich vs Tallison Teixeira
The Heavyweight matchup features Sergei Pavlovich (8-3-1) taking on Tallison Teixeira (2-1-1). There's a 4-inch height gap favoring Teixeira.
Pavlovich is rated at 1770 — 326 points above Teixeira's 1444. Gaps this large usually mean one fighter has been consistently beating better opponents.
A few statistical edges stand out. Teixeira throws significantly more leather — a 0.4 sig. strike per minute gap. Teixeira is far more active with takedowns, averaging 2.2 more per 15 minutes. Pavlovich has tighter striking defense, making opponents miss more often.
The Pick: Tallison Teixeira over Sergei Pavlovich. This is essentially a pick'em. The model nudges toward Teixeira at 53%, but there's almost nothing separating these two.
Zhang Mingyang vs Alonzo Menifield
The Light Heavyweight matchup features Zhang Mingyang (3-1-1) taking on Alonzo Menifield (10-6-2).
The Elo gap here is razor-thin — Mingyang at 1286, Menifield at 1311. On paper, this is as close to a coin flip as it gets.
A few statistical edges stand out. Mingyang throws significantly more leather — a 4.1 sig. strike per minute gap. Menifield is far more active with takedowns, averaging 0.0 more per 15 minutes. Menifield has tighter striking defense, making opponents miss more often.
The Pick: Zhang Mingyang over Alonzo Menifield. The model gives Mingyang a slight nod at 60% — this could easily go either way.
Alex Perez vs Sumudaerji
The Flyweight matchup features Alex Perez (8-6-1) taking on Sumudaerji (6-4-1). Sumudaerji is the bigger frame at 5'8" with a 7-inch reach advantage.
There's a real Elo separation here: Perez at 1320 versus Sumudaerji at 1191. That 128-point gap typically reflects a meaningful difference in recent quality of competition and results. Sumudaerji has won 3 straight.
Both fighters land in our "Brawler" archetype — aggressive fighters who push forward, throw volume, and look to overwhelm opponents in exchanges. When mirror matchups like this happen, the edge usually goes to whoever can impose their preferred pace and range.
A few statistical edges stand out. Sumudaerji throws significantly more leather — a 0.1 sig. strike per minute gap. Perez is far more active with takedowns, averaging 0.4 more per 15 minutes. Sumudaerji has tighter striking defense, making opponents miss more often.
The Pick: Sumudaerji over Alex Perez. This is essentially a pick'em. The model nudges toward Sumudaerji at 54%, but there's almost nothing separating these two.
Methodology
Predictions are generated by our ensemble model combining LightGBM (65%) and CatBoost (35%), trained on every UFC fight since 1994. The model uses 23 features including Elo ratings, rolling 5-fight statistical averages, style matchup history, physical attributes, and market odds when available.
On our held-out test set (402 fights from January-September 2023), the model achieves 63.4% accuracy with a log-loss of 0.626. High-confidence picks (>75% probability) hit at 82.7%. For full model transparency, visit our Model page.