UFC Fight Night: Tybura vs. Spivac 2: Predictions & Analysis

Saturday, August 10, 2024·Las Vegas, Nevada, USA
Published February 27, 2026
Predictions are for entertainment purposes only and do not constitute financial advice. Please gamble responsibly.

UFC Fight Night: Tybura vs. Spivac 2 lands on Saturday, August 10, 2024 in Las Vegas, Nevada, USA with 10 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

MatchupPickConfidenceProb
Serghei Spivac vs Marcin TyburaHeavyweightSerghei SpivacLean63%
Chepe Mariscal vs Damon JacksonFeatherweightChepe MariscalConfident68%
Danny Barlow vs Nikolay VeretennikovWelterweightDanny BarlowConfident74%
Chris Gutierrez vs Quang LeBantamweightChris GutierrezConfident66%
Yana Santos vs Chelsea ChandlerWomen's BantamweightChelsea ChandlerToss-up55%
Toshiomi Kazama vs Charalampos GrigoriouBantamweightCharalampos GrigoriouToss-up55%
Karol Rosa vs Pannie KianzadWomen's BantamweightKarol RosaLean61%
Jhonata Diniz vs Karl WilliamsHeavyweightKarl WilliamsLean55%
Youssef Zalal vs Jarno ErrensFeatherweightYoussef ZalalConfident67%
Stephanie Luciano vs Talita AlencarWomen's StrawweightStephanie LucianoLean59%

Fight-by-Fight Breakdown

63%
Serghei Spivac
Spivac
8-6
Elo 1355
Submission Artist
VS
Tybura
14-8
Elo 1242
Wrestler

The Heavyweight matchup features Serghei Spivac (8-6) taking on Marcin Tybura (14-8).

There's a real Elo separation here: Spivac at 1355 versus Tybura at 1242. That 113-point gap typically reflects a meaningful difference in recent quality of competition and results.

The style clash matters here: Spivac is most dangerous on the ground, constantly threatening chokes and joint locks, while Tybura is comfortable adjusting on the fly, mixing strikes and grappling as openings appear. In our database, submission artists own a 56% win rate against all-rounders, giving Spivac the stylistic edge.

A few statistical edges stand out. Tybura throws significantly more leather — a 0.7 sig. strike per minute gap. Spivac is far more active with takedowns, averaging 8.3 more per 15 minutes. Tybura has tighter striking defense, making opponents miss more often.

The Pick: Serghei Spivac over Marcin Tybura. The model gives Spivac a slight nod at 63% — this could easily go either way.

68%
Chepe Mariscal
Mariscal
5-0
Elo 1275
Wrestler
VS
Jackson
6-5-1
Elo 1039
Wrestler

The Featherweight matchup features Chepe Mariscal (5-0) taking on Damon Jackson (6-5-1). Jackson is the bigger frame at 5'11" with a 2-inch reach advantage.

Mariscal is rated at 1275 — 236 points above Jackson's 1039. Gaps this large usually mean one fighter has been consistently beating better opponents. Mariscal rides a 5-fight win streak into this one.

Both fighters land in our "Wrestler" archetype — fighters who win by dictating where the fight takes place, grinding out control time and wearing opponents down. 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. Mariscal throws significantly more leather — a 1.3 sig. strike per minute gap. Jackson is far more active with takedowns, averaging 0.1 more per 15 minutes. Jackson has tighter striking defense, making opponents miss more often.

The Pick: Chepe Mariscal over Damon Jackson. We're leaning Mariscal here at 68%, a solid but not overwhelming edge.

74%
Danny Barlow
Barlow
2-1
Elo 895
VS
Veretennikov
1-3
Elo 1054

The Welterweight matchup features Danny Barlow (2-1) taking on Nikolay Veretennikov (1-3). Barlow will look to use a 5-inch reach edge to control distance.

Veretennikov is rated at 1054 — 159 points above Barlow's 895. Gaps this large usually mean one fighter has been consistently beating better opponents.

A few statistical edges stand out. Barlow throws significantly more leather — a 8.4 sig. strike per minute gap. Veretennikov is far more active with takedowns, averaging 0.0 more per 15 minutes. Veretennikov has tighter striking defense, making opponents miss more often.

The Pick: Danny Barlow over Nikolay Veretennikov. We're leaning Barlow here at 74%, a solid but not overwhelming edge.

Chris Gutierrez vs Quang Le

Bantamweight
66%
Chris Gutierrez
Gutierrez
10-3-1
Elo 1298
Striker
VS
Le
1-2
Elo 874

The Bantamweight matchup features Chris Gutierrez (10-3-1) taking on Quang Le (1-2). Le will look to use a 3-inch reach edge to control distance.

Gutierrez is rated at 1298 — 423 points above Le's 874. Gaps this large usually mean one fighter has been consistently beating better opponents.

A few statistical edges stand out. Gutierrez throws significantly more leather — a 5.0 sig. strike per minute gap. Le is far more active with takedowns, averaging 0.0 more per 15 minutes. Le has tighter striking defense, making opponents miss more often.

The Pick: Chris Gutierrez over Quang Le. We're leaning Gutierrez here at 66%, a solid but not overwhelming edge.

Yana Santos vs Chelsea Chandler

Women's Bantamweight
55%
Chelsea Chandler
Santos
6-5
Elo 1304
Striker
VS
Chandler
2-2
Elo 913

The Women's Bantamweight matchup features Yana Santos (6-5) taking on Chelsea Chandler (2-2).

Santos is rated at 1304 — 391 points above Chandler's 913. Gaps this large usually mean one fighter has been consistently beating better opponents.

A few statistical edges stand out. Santos throws significantly more leather — a 0.1 sig. strike per minute gap. Chandler is far more active with takedowns, averaging 1.1 more per 15 minutes. Santos has tighter striking defense, making opponents miss more often.

The Pick: Chelsea Chandler over Yana Santos. This is essentially a pick'em. The model nudges toward Chandler at 55%, but there's almost nothing separating these two.

55%
Charalampos Grigoriou
Kazama
1-2
Elo 837
VS
Grigoriou
0-1
Elo 737

The Bantamweight matchup features Toshiomi Kazama (1-2) taking on Charalampos Grigoriou (0-1).

There's a real Elo separation here: Kazama at 837 versus Grigoriou at 737. That 99-point gap typically reflects a meaningful difference in recent quality of competition and results.

A few statistical edges stand out. Kazama throws significantly more leather — a 2.5 sig. strike per minute gap. Grigoriou is far more active with takedowns, averaging 4.0 more per 15 minutes. Grigoriou has tighter striking defense, making opponents miss more often.

The Pick: Charalampos Grigoriou over Toshiomi Kazama. This is essentially a pick'em. The model nudges toward Grigoriou at 55%, but there's almost nothing separating these two.

Karol Rosa vs Pannie Kianzad

Women's Bantamweight
61%
Karol Rosa
Rosa
7-4
Elo 1201
Striker
VS
Kianzad
5-5
Elo 943
Striker

The Women's Bantamweight matchup features Karol Rosa (7-4) taking on Pannie Kianzad (5-5).

Rosa is rated at 1201 — 258 points above Kianzad's 943. 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. Rosa throws significantly more leather — a 0.8 sig. strike per minute gap. Rosa is far more active with takedowns, averaging 0.3 more per 15 minutes. Rosa has tighter striking defense, making opponents miss more often.

The Pick: Karol Rosa over Pannie Kianzad. The model gives Rosa a slight nod at 61% — this could easily go either way.

55%
Karl Williams
Diniz
3-1
Elo 1031
VS
Williams
3-0
Elo 1106

The Heavyweight matchup features Jhonata Diniz (3-1) taking on Karl Williams (3-0).

Williams carries a modest Elo edge (1106 to 1031), the kind of gap that reflects a slightly better run of form rather than a talent chasm. Williams has won 3 straight.

A few statistical edges stand out. Williams throws significantly more leather — a 0.5 sig. strike per minute gap. Williams is far more active with takedowns, averaging 5.3 more per 15 minutes. Williams has tighter striking defense, making opponents miss more often.

The Pick: Karl Williams over Jhonata Diniz. The model gives Williams a slight nod at 55% — this could easily go either way.

Youssef Zalal vs Jarno Errens

Featherweight
67%
Youssef Zalal
Zalal
7-3-1
Elo 1532
Wrestler
VS
Errens
1-2
Elo 872

The Featherweight matchup features Youssef Zalal (7-3-1) taking on Jarno Errens (1-2).

Zalal is rated at 1532 — 660 points above Errens's 872. Gaps this large usually mean one fighter has been consistently beating better opponents. Zalal rides a 4-fight win streak into this one.

A few statistical edges stand out. Errens throws significantly more leather — a 0.8 sig. strike per minute gap. Zalal is far more active with takedowns, averaging 1.8 more per 15 minutes. Zalal has tighter striking defense, making opponents miss more often.

The Pick: Youssef Zalal over Jarno Errens. We're leaning Zalal here at 67%, a solid but not overwhelming edge.

Stephanie Luciano vs Talita Alencar

Women's Strawweight
59%
Stephanie Luciano
Luciano
1-1
Elo 1105
VS
Alencar
2-1
Elo 1168

The Women's Strawweight matchup features Stephanie Luciano (1-1) taking on Talita Alencar (2-1). Luciano is the bigger frame at 5'6" with a 7-inch reach advantage.

Alencar carries a modest Elo edge (1168 to 1105), the kind of gap that reflects a slightly better run of form rather than a talent chasm.

A few statistical edges stand out. Alencar throws significantly more leather — a 2.4 sig. strike per minute gap. Alencar is far more active with takedowns, averaging 1.0 more per 15 minutes. Luciano has tighter striking defense, making opponents miss more often.

The Pick: Stephanie Luciano over Talita Alencar. The model gives Luciano a slight nod at 59% — 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.