UFC Fight Night: Eye vs. Calvillo: Predictions & Analysis

Saturday, June 13, 2020·Las Vegas, Nevada, USA
Published April 16, 2026
Predictions are for entertainment purposes only and do not constitute financial advice. Please gamble responsibly.

UFC Fight Night: Eye vs. Calvillo lands on Saturday, June 13, 2020 in Las Vegas, Nevada, USA with 10 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

MatchupPickConfidenceProb
Cynthia Calvillo vs Jessica EyeWomen's FlyweightJessica EyeToss-up51%
Marvin Vettori vs Karl RobersonMiddleweightMarvin VettoriConfident69%
Charles Rosa vs Kevin AguilarLightweightCharles RosaToss-up53%
Andre Fili vs Charles JourdainFeatherweightAndre FiliLean61%
Jordan Espinosa vs Mark De La RosaBantamweightJordan EspinosaLean61%
Mariya Agapova vs Hannah CifersWomen's FlyweightMariya AgapovaStrong87%
Merab Dvalishvili vs Gustavo LopezCatch WeightMerab DvalishviliStrong91%
Julia Avila vs Gina MazanyWomen's BantamweightJulia AvilaStrong84%
Tyson Nam vs Zarrukh AdashevBantamweightTyson NamToss-up55%
Christian Aguilera vs Anthony IvyWelterweightAnthony IvyLean64%

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Fight-by-Fight Breakdown

Cynthia Calvillo vs Jessica Eye

Women's FlyweightTitle Fight
51%
Jessica Eye
Calvillo
6-6-1
MC-I992
All-Rounder
VS
Eye
5-10
RK-III1060
Striker
Over/UnderOver 71%
Under 29%Over 71%

The Women's Flyweight championship matchup features Cynthia Calvillo (6-6-1) taking on Jessica Eye (5-10). Eye is the bigger frame at 5'6" with a 2-inch reach advantage.

Eye carries a modest Elo edge (1060 to 992), the kind of gap that reflects a slightly better run of form rather than a talent chasm.

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. Calvillo throws significantly more leather — a 0.1 sig. strike per minute gap. Calvillo is far more active with takedowns, averaging 0.9 more per 15 minutes. Calvillo has tighter striking defense, making opponents miss more often.

The Pick: Jessica Eye over Cynthia Calvillo. This is essentially a pick'em. The model nudges toward Eye at 51%, but there's almost nothing separating these two. The market implies 56% for Calvillo, but our model sees only 49%. That 7-point gap favoring Eye is worth watching.

69%
Marvin Vettori
Vettori
9-8-1
CO-II1429
All-Rounder
VS
Roberson
4-6
PR-I870
All-Rounder
Over/UnderUnder 51%
Under 51%Over 49%

The Middleweight matchup features Marvin Vettori (9-8-1) taking on Karl Roberson (4-6).

Vettori is rated at 1429 — 559 points above Roberson's 870. Gaps this large usually mean one fighter has been consistently beating better opponents.

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. Vettori throws significantly more leather — a 1.6 sig. strike per minute gap. Vettori is far more active with takedowns, averaging 0.5 more per 15 minutes. Vettori has tighter striking defense, making opponents miss more often.

The Pick: Marvin Vettori over Karl Roberson. We're leaning Vettori here at 69%, a solid but not overwhelming edge. Notably, the betting market has Vettori at 65% implied while our model sees 69% — a 4-point disagreement that could signal value.

53%
Charles Rosa
Rosa
5-8
PR-I872
Wrestler
VS
Aguilar
2-4
PR-II855
Striker
Over/UnderOver 59%
Under 41%Over 59%

The Lightweight matchup features Charles Rosa (5-8) taking on Kevin Aguilar (2-4). Aguilar will look to use a 4-inch reach edge to control distance.

The Elo gap here is razor-thin — Rosa at 872, Aguilar at 855. On paper, this is as close to a coin flip as it gets.

Stylistically this is Rosa's wrestler game against Aguilar's striker approach. Rosa looks to close distance and put the fight on the mat, while Aguilar brings a versatile approach. Historically these archetypes are dead-even when they collide.

A few statistical edges stand out. Aguilar throws significantly more leather — a 0.0 sig. strike per minute gap. Rosa is far more active with takedowns, averaging 1.4 more per 15 minutes. Aguilar has tighter striking defense, making opponents miss more often.

The Pick: Charles Rosa over Kevin Aguilar. This is essentially a pick'em. The model nudges toward Rosa at 53%, but there's almost nothing separating these two. Notably, the betting market has Rosa at 39% implied while our model sees 53% — a 13-point disagreement that could signal value.

61%
Andre Fili
Fili
13-12
RK-I1176
Striker
VS
Jourdain
8-7-1
CO-II1344
Wrestler
Over/UnderOver 61%
Under 39%Over 61%

The Featherweight matchup features Andre Fili (13-12) taking on Charles Jourdain (8-7-1). Fili is the bigger frame at 5'11" with a 5-inch reach advantage.

Jourdain is rated at 1344 — 169 points above Fili's 1176. Gaps this large usually mean one fighter has been consistently beating better opponents.

The style clash matters here: Fili is comfortable adjusting on the fly, mixing strikes and grappling as openings appear, while Jourdain looks to close distance and put the fight on the mat. In our database, wrestlers own a 58% win rate against all-rounders, giving Jourdain the stylistic edge.

A few statistical edges stand out. Jourdain throws significantly more leather — a 0.4 sig. strike per minute gap. Fili is far more active with takedowns, averaging 2.1 more per 15 minutes. Jourdain has tighter striking defense, making opponents miss more often.

The Pick: Andre Fili over Charles Jourdain. The model gives Fili a slight nod at 61% — this could easily go either way. The market implies 67% for Fili, but our model sees only 61%. That 6-point gap favoring Jourdain is worth watching.

61%
Jordan Espinosa
Espinosa
2-4
PR-I894
Striker
VS
Rosa
2-5
UC-I735
All-Rounder
Over/UnderOver 62%
Under 38%Over 62%

The Bantamweight matchup features Jordan Espinosa (2-4) taking on Mark De La Rosa (2-5). Espinosa will look to use a 4-inch reach edge to control distance.

Espinosa is rated at 894 — 159 points above Rosa's 735. Gaps this large usually mean one fighter has been consistently beating better opponents.

Stylistically this is Espinosa's striker game against Rosa's all-rounder approach. Espinosa brings a versatile approach, while Rosa 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. Rosa throws significantly more leather — a 0.8 sig. strike per minute gap. Espinosa is far more active with takedowns, averaging 0.1 more per 15 minutes. Espinosa has tighter striking defense, making opponents miss more often.

The Pick: Jordan Espinosa over Mark De La Rosa. The model gives Espinosa a slight nod at 61% — this could easily go either way.

Mariya Agapova vs Hannah Cifers

Women's Flyweight
87%
Mariya Agapova
Agapova
2-4
PR-II845
Submission Artist
VS
Cifers
2-5
UC-III635
Knockout Artist
Over/UnderOver 64%
Under 36%Over 64%

The Women's Flyweight matchup features Mariya Agapova (2-4) taking on Hannah Cifers (2-5). Agapova is the bigger frame at 5'6" with a 6-inch reach advantage.

Agapova is rated at 845 — 211 points above Cifers's 635. Gaps this large usually mean one fighter has been consistently beating better opponents.

Stylistically this is Agapova's submission artist game against Cifers's knockout artist approach. Agapova is most dangerous on the ground, constantly threatening chokes and joint locks, while Cifers is patient on the feet, timing counters and loading up when he sees openings. Historically these archetypes are dead-even when they collide.

A few statistical edges stand out. Cifers throws significantly more leather — a 4.7 sig. strike per minute gap. Cifers is far more active with takedowns, averaging 0.3 more per 15 minutes. Agapova has tighter striking defense, making opponents miss more often.

The Pick: Mariya Agapova over Hannah Cifers. The model is firm on this one: Agapova at 87%. Notably, the betting market has Agapova at 75% implied while our model sees 87% — a 12-point disagreement that could signal value.

91%
Merab Dvalishvili
Dvalishvili
14-3
CH-I1939
Wrestler
VS
Lopez
1-2-1
RK-III1017
Over/UnderOver 55%
Under 45%Over 55%

The Catch Weight matchup features Merab Dvalishvili (14-3) taking on Gustavo Lopez (1-2-1).

Dvalishvili is rated at 1939 — 923 points above Lopez's 1017. Gaps this large usually mean one fighter has been consistently beating better opponents. Dvalishvili rides a 14-fight win streak into this one.

A few statistical edges stand out. Dvalishvili throws significantly more leather — a 3.8 sig. strike per minute gap. Dvalishvili is far more active with takedowns, averaging 7.8 more per 15 minutes. Lopez has tighter striking defense, making opponents miss more often.

The Pick: Merab Dvalishvili over Gustavo Lopez. The model is firm on this one: Dvalishvili at 91%. Notably, the betting market has Dvalishvili at 86% implied while our model sees 91% — a 5-point disagreement that could signal value.

Julia Avila vs Gina Mazany

Women's Bantamweight
84%
Julia Avila
Avila
3-3
MC-II959
All-Rounder
VS
Mazany
2-6
UC-III649
Wrestler
Over/UnderOver 51%
Under 49%Over 51%

The Women's Bantamweight matchup features Julia Avila (3-3) taking on Gina Mazany (2-6).

Avila is rated at 959 — 310 points above Mazany's 649. Gaps this large usually mean one fighter has been consistently beating better opponents.

The style clash matters here: Avila is comfortable adjusting on the fly, mixing strikes and grappling as openings appear, while Mazany looks to close distance and put the fight on the mat. In our database, wrestlers own a 58% win rate against all-rounders, giving Mazany the stylistic edge.

A few statistical edges stand out. Avila throws significantly more leather — a 0.6 sig. strike per minute gap. Mazany is far more active with takedowns, averaging 3.2 more per 15 minutes. Avila has tighter striking defense, making opponents miss more often.

The Pick: Julia Avila over Gina Mazany. The model is firm on this one: Avila at 84%. The market and our model are aligned — the line looks fair.

Tyson Nam vs Zarrukh Adashev

Bantamweight
55%
Tyson Nam
Nam
3-5
RK-III1031
Striker
VS
Adashev
1-3
UC-I761
Over/UnderOver 54%
Under 46%Over 54%

The Bantamweight matchup features Tyson Nam (3-5) taking on Zarrukh Adashev (1-3). Nam is the bigger frame at 5'7" with a 3-inch reach advantage.

Nam is rated at 1031 — 270 points above Adashev's 761. Gaps this large usually mean one fighter has been consistently beating better opponents.

A few statistical edges stand out. Nam throws significantly more leather — a 3.0 sig. strike per minute gap. Adashev is far more active with takedowns, averaging 0.0 more per 15 minutes. Adashev has tighter striking defense, making opponents miss more often.

The Pick: Tyson Nam over Zarrukh Adashev. This is essentially a pick'em. The model nudges toward Nam at 55%, but there's almost nothing separating these two. The market and our model are aligned — the line looks fair.

64%
Anthony Ivy
Aguilera
1-2
PR-I880
VS
Ivy
0-2
UC-I776
Over/UnderOver 58%
Under 42%Over 58%

The Welterweight matchup features Christian Aguilera (1-2) taking on Anthony Ivy (0-2). Ivy is the bigger frame at 6'2" with a 2-inch reach advantage.

There's a real Elo separation here: Aguilera at 880 versus Ivy at 776. That 104-point gap typically reflects a meaningful difference in recent quality of competition and results.

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

The Pick: Anthony Ivy over Christian Aguilera. The model gives Ivy a slight nod at 64% — this could easily go either way. The market and our model are aligned — the line looks fair.

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.