UFC Fight Night: Yan vs. Figueiredo: Predictions & Analysis
UFC Fight Night: Yan vs. Figueiredo lands on Saturday, November 23, 2024 in Macau, China with 13 bouts on the card. The card is headlined by a championship fight. 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 |
|---|---|---|---|
| Petr Yan vs Deiveson FigueiredoBantamweight | Petr Yan | Toss-up | 51% |
| Yan Xiaonan vs Tabatha RicciWomen's Strawweight | Tabatha Ricci | Lean | 57% |
| Muslim Salikhov vs Song KenanWelterweight | Muslim Salikhov | Lean | 58% |
| Gabriella Fernandes vs Wang CongWomen's Flyweight | Wang Cong | Toss-up | 54% |
| Carlos Ulberg vs Volkan OezdemirLight Heavyweight | Carlos Ulberg | Toss-up | 54% |
| Zhang Mingyang vs Ozzy DiazLight Heavyweight | Zhang Mingyang | Confident | 75% |
| SuYoung You vs Baergeng JieleyisiBantamweight | Baergeng Jieleyisi | Toss-up | 55% |
| DongHun Choi vs Kiru SahotaFlyweight | DongHun Choi | Toss-up | 50% |
| Shi Ming vs Feng XiaocanWomen's Strawweight | Feng Xiaocan | Lean | 63% |
| Carlos Hernandez vs Nyamjargal TumendemberelFlyweight | Nyamjargal Tumendemberel | Toss-up | 53% |
| Lone'er Kavanagh vs Jose OchoaFlyweight | Jose Ochoa | Lean | 58% |
| Xiao Long vs Quang LeBantamweight | Xiao Long | Lean | 59% |
| Nikolas Motta vs MaheshateLightweight | Maheshate | Lean | 61% |
Fight-by-Fight Breakdown
Petr Yan vs Deiveson Figueiredo
The Bantamweight championship matchup features Petr Yan (11-4) taking on Deiveson Figueiredo (14-5-1).
Yan is rated at 1869 — 379 points above Figueiredo's 1490. Gaps this large usually mean one fighter has been consistently beating better opponents. Yan rides a 3-fight win streak into this one.
Both fighters land in our "All-Rounder" archetype — fighters comfortable everywhere, able to strike or grapple depending on what the opponent gives them. 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. Yan throws significantly more leather — a 1.6 sig. strike per minute gap. Figueiredo is far more active with takedowns, averaging 0.6 more per 15 minutes. Yan has tighter striking defense, making opponents miss more often.
The Pick: Petr Yan over Deiveson Figueiredo. This is essentially a pick'em. The model nudges toward Yan at 51%, but there's almost nothing separating these two.
Yan Xiaonan vs Tabatha Ricci
The Women's Strawweight matchup features Yan Xiaonan (9-3) taking on Tabatha Ricci (6-3). Xiaonan is the bigger frame at 5'5" with a 2-inch reach advantage.
Xiaonan carries a modest Elo edge (1412 to 1355), the kind of gap that reflects a slightly better run of form rather than a talent chasm.
Stylistically this is Xiaonan's striker game against Ricci's all-rounder approach. Xiaonan brings a versatile approach, while Ricci is comfortable adjusting on the fly, mixing strikes and grappling as openings appear. Historically these archetypes are dead-even when they collide.
A few statistical edges stand out. Ricci throws significantly more leather — a 2.4 sig. strike per minute gap. Ricci is far more active with takedowns, averaging 1.4 more per 15 minutes. Ricci has tighter striking defense, making opponents miss more often.
The Pick: Tabatha Ricci over Yan Xiaonan. The model gives Ricci a slight nod at 57% — this could easily go either way.
Muslim Salikhov vs Song Kenan
The Welterweight matchup features Muslim Salikhov (9-4) taking on Song Kenan (6-4).
Salikhov is rated at 1183 — 176 points above Kenan's 1007. Gaps this large usually mean one fighter has been consistently beating better opponents. Salikhov rides a 3-fight win streak into this one.
Both fighters land in our "Striker" archetype — fighters with a well-rounded skill set. 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. Kenan throws significantly more leather — a 1.2 sig. strike per minute gap. Salikhov is far more active with takedowns, averaging 0.4 more per 15 minutes. Salikhov has tighter striking defense, making opponents miss more often.
The Pick: Muslim Salikhov over Song Kenan. The model gives Salikhov a slight nod at 58% — this could easily go either way.
Gabriella Fernandes vs Wang Cong
The Women's Flyweight matchup features Gabriella Fernandes (2-2) taking on Wang Cong (3-1).
There's a real Elo separation here: Cong at 1242 versus Fernandes at 1122. That 120-point gap typically reflects a meaningful difference in recent quality of competition and results.
A few statistical edges stand out. Cong throws significantly more leather — a 6.0 sig. strike per minute gap. Fernandes is far more active with takedowns, averaging 0.7 more per 15 minutes. Cong has tighter striking defense, making opponents miss more often.
The Pick: Wang Cong over Gabriella Fernandes. This is essentially a pick'em. The model nudges toward Cong at 54%, but there's almost nothing separating these two.
Carlos Ulberg vs Volkan Oezdemir
The Light Heavyweight matchup features Carlos Ulberg (8-1) taking on Volkan Oezdemir (8-7). Ulberg is the bigger frame at 6'4" with a 2-inch reach advantage.
Ulberg is rated at 1803 — 302 points above Oezdemir's 1501. Gaps this large usually mean one fighter has been consistently beating better opponents. Ulberg rides a 8-fight win streak into this one.
Stylistically this is Ulberg's knockout artist game against Oezdemir's all-rounder approach. Ulberg is patient on the feet, timing counters and loading up when he sees openings, while Oezdemir is comfortable adjusting on the fly, mixing strikes and grappling as openings appear. Historically these archetypes are dead-even when they collide.
A few statistical edges stand out. Ulberg throws significantly more leather — a 1.5 sig. strike per minute gap. Oezdemir is far more active with takedowns, averaging 0.2 more per 15 minutes. Oezdemir has tighter striking defense, making opponents miss more often.
The Pick: Carlos Ulberg over Volkan Oezdemir. This is essentially a pick'em. The model nudges toward Ulberg at 54%, but there's almost nothing separating these two.
Zhang Mingyang vs Ozzy Diaz
The Light Heavyweight matchup features Zhang Mingyang (3-0) taking on Ozzy Diaz (0-1). Diaz is the bigger frame at 6'4" with a 4-inch reach advantage.
Mingyang is rated at 1188 — 166 points above Diaz's 1022. Gaps this large usually mean one fighter has been consistently beating better opponents. Mingyang rides a 3-fight win streak into this one.
A few statistical edges stand out. Mingyang throws significantly more leather — a 10.1 sig. strike per minute gap. Diaz is far more active with takedowns, averaging 0.0 more per 15 minutes. Diaz has tighter striking defense, making opponents miss more often.
The Pick: Zhang Mingyang over Ozzy Diaz. We're leaning Mingyang here at 75%, a solid but not overwhelming edge.
SuYoung You vs Baergeng Jieleyisi
The Bantamweight matchup features SuYoung You (2-0) taking on Baergeng Jieleyisi (0-0). Jieleyisi is the bigger frame at 5'9" with a 6-inch reach advantage.
You is rated at 1207 — 292 points above Jieleyisi's 915. Gaps this large usually mean one fighter has been consistently beating better opponents.
A few statistical edges stand out. Jieleyisi throws significantly more leather — a 0.0 sig. strike per minute gap. Jieleyisi is far more active with takedowns, averaging 0.0 more per 15 minutes. Jieleyisi has tighter striking defense, making opponents miss more often.
The Pick: Baergeng Jieleyisi over SuYoung You. This is essentially a pick'em. The model nudges toward Jieleyisi at 55%, but there's almost nothing separating these two.
DongHun Choi vs Kiru Sahota
The Flyweight matchup features DongHun Choi (0-0) taking on Kiru Sahota (0-0). Sahota is the bigger frame at 5'10" with a 7-inch reach advantage.
Choi is rated at 1128 — 255 points above Sahota's 873. Gaps this large usually mean one fighter has been consistently beating better opponents.
A few statistical edges stand out. Sahota throws significantly more leather — a 0.0 sig. strike per minute gap. Sahota is far more active with takedowns, averaging 0.0 more per 15 minutes. Sahota has tighter striking defense, making opponents miss more often.
The Pick: DongHun Choi over Kiru Sahota. This is essentially a pick'em. The model nudges toward Choi at 50%, but there's almost nothing separating these two.
Shi Ming vs Feng Xiaocan
The Women's Strawweight matchup features Shi Ming (1-0) taking on Feng Xiaocan (0-0). Xiaocan is the bigger frame at 5'7" with a 7-inch reach advantage.
There's a real Elo separation here: Ming at 997 versus Xiaocan at 873. That 125-point gap typically reflects a meaningful difference in recent quality of competition and results.
A few statistical edges stand out. Xiaocan throws significantly more leather — a 0.0 sig. strike per minute gap. Xiaocan is far more active with takedowns, averaging 0.0 more per 15 minutes. Xiaocan has tighter striking defense, making opponents miss more often.
The Pick: Feng Xiaocan over Shi Ming. The model gives Xiaocan a slight nod at 63% — this could easily go either way.
Carlos Hernandez vs Nyamjargal Tumendemberel
The Flyweight matchup features Carlos Hernandez (3-3) taking on Nyamjargal Tumendemberel (0-1). Tumendemberel will look to use a 4-inch reach edge to control distance.
There's a real Elo separation here: Tumendemberel at 1049 versus Hernandez at 913. That 135-point gap typically reflects a meaningful difference in recent quality of competition and results.
A few statistical edges stand out. Hernandez throws significantly more leather — a 3.8 sig. strike per minute gap. Hernandez is far more active with takedowns, averaging 1.4 more per 15 minutes. Tumendemberel has tighter striking defense, making opponents miss more often.
The Pick: Nyamjargal Tumendemberel over Carlos Hernandez. This is essentially a pick'em. The model nudges toward Tumendemberel at 53%, but there's almost nothing separating these two.
Lone'er Kavanagh vs Jose Ochoa
The Flyweight matchup features Lone'er Kavanagh (2-0) taking on Jose Ochoa (1-1).
The Elo gap here is razor-thin — Kavanagh at 1024, Ochoa at 1028. On paper, this is as close to a coin flip as it gets.
A few statistical edges stand out. Ochoa throws significantly more leather — a 0.0 sig. strike per minute gap. Ochoa is far more active with takedowns, averaging 0.0 more per 15 minutes. Ochoa has tighter striking defense, making opponents miss more often.
The Pick: Jose Ochoa over Lone'er Kavanagh. The model gives Ochoa a slight nod at 58% — this could easily go either way.
The Bantamweight matchup features Xiao Long (1-1) taking on Quang Le (1-2).
There's a real Elo separation here: Long at 1006 versus Le at 874. That 132-point gap typically reflects a meaningful difference in recent quality of competition and results.
A few statistical edges stand out. Long throws significantly more leather — a 3.5 sig. strike per minute gap. Le is far more active with takedowns, averaging 0.0 more per 15 minutes. Long has tighter striking defense, making opponents miss more often.
The Pick: Xiao Long over Quang Le. The model gives Long a slight nod at 59% — this could easily go either way.
Nikolas Motta vs Maheshate
The Lightweight matchup features Nikolas Motta (3-2) taking on Maheshate (2-3). There's a 3-inch height gap favoring Maheshate.
Motta is rated at 1072 — 253 points above Maheshate's 818. Gaps this large usually mean one fighter has been consistently beating better opponents.
Both fighters land in our "Striker" archetype — fighters with a well-rounded skill set. 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. Maheshate throws significantly more leather — a 0.9 sig. strike per minute gap. Maheshate is far more active with takedowns, averaging 0.0 more per 15 minutes. Maheshate has tighter striking defense, making opponents miss more often.
The Pick: Maheshate over Nikolas Motta. The model gives Maheshate a slight nod at 61% — this could easily go either way.
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.