UFC on FUEL TV: Mousasi vs Latifi: Predictions & Analysis
UFC on FUEL TV: Mousasi vs Latifi lands on Saturday, April 6, 2013 in Stockholm, Sweden with 13 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 |
|---|---|---|---|
| Gegard Mousasi vs Ilir LatifiLight Heavyweight | Gegard Mousasi | Toss-up | 55% |
| Ross Pearson vs Ryan CoutureLightweight | Ross Pearson | Confident | 70% |
| Matt Mitrione vs Philip De FriesHeavyweight | Matt Mitrione | Lean | 61% |
| Brad Pickett vs Mike EastonBantamweight | Mike Easton | Lean | 59% |
| Diego Brandao vs Pablo GarzaFeatherweight | Diego Brandao | Confident | 68% |
| Akira Corassani vs Robert PeraltaFeatherweight | Robert Peralta | Lean | 58% |
| Reza Madadi vs Michael JohnsonLightweight | Michael Johnson | Toss-up | 55% |
| Tor Troeng vs Adam CellaMiddleweight | Adam Cella | Lean | 59% |
| Adlan Amagov vs Chris SpangWelterweight | Chris Spang | Toss-up | 55% |
| Conor McGregor vs Marcus BrimageFeatherweight | Conor McGregor | Toss-up | 53% |
| Ryan LaFlare vs Ben AllowayWelterweight | Ben Alloway | Lean | 65% |
| Tom Lawlor vs Michael KuiperMiddleweight | Tom Lawlor | Lean | 61% |
| Papy Abedi vs Besam YousefWelterweight | Besam Yousef | Toss-up | 53% |
Fight-by-Fight Breakdown
Gegard Mousasi vs Ilir Latifi
The Light Heavyweight matchup features Gegard Mousasi (8-3) taking on Ilir Latifi (9-6). Mousasi is the bigger frame at 6'2" with a 3-inch reach advantage.
Mousasi is rated at 1761 — 566 points above Latifi's 1195. Gaps this large usually mean one fighter has been consistently beating better opponents. Mousasi rides a 4-fight win streak into this one.
The style clash matters here: Mousasi is comfortable adjusting on the fly, mixing strikes and grappling as openings appear, while Latifi looks to close distance and put the fight on the mat. In our database, wrestlers own a 59% win rate against all-rounders, giving Latifi the stylistic edge.
A few statistical edges stand out. Latifi throws significantly more leather — a 0.0 sig. strike per minute gap. Latifi is far more active with takedowns, averaging 0.0 more per 15 minutes. Latifi has tighter striking defense, making opponents miss more often.
The Pick: Gegard Mousasi over Ilir Latifi. This is essentially a pick'em. The model nudges toward Mousasi at 55%, but there's almost nothing separating these two.
Ross Pearson vs Ryan Couture
The Lightweight matchup features Ross Pearson (12-12) taking on Ryan Couture (0-1). Couture is the bigger frame at 5'10" with a 4-inch reach advantage.
The Elo gap here is razor-thin — Pearson at 849, Couture at 844. On paper, this is as close to a coin flip as it gets.
A few statistical edges stand out. Pearson throws significantly more leather — a 4.0 sig. strike per minute gap. Pearson is far more active with takedowns, averaging 1.6 more per 15 minutes. Couture has tighter striking defense, making opponents miss more often.
The Pick: Ross Pearson over Ryan Couture. We're leaning Pearson here at 70%, a solid but not overwhelming edge.
Matt Mitrione vs Philip De Fries
The Heavyweight matchup features Matt Mitrione (9-4) taking on Philip De Fries (2-2). Mitrione will look to use a 3-inch reach edge to control distance.
Mitrione is rated at 1200 — 341 points above Fries's 858. Gaps this large usually mean one fighter has been consistently beating better opponents.
A few statistical edges stand out. Mitrione throws significantly more leather — a 1.3 sig. strike per minute gap. Fries is far more active with takedowns, averaging 3.3 more per 15 minutes. Mitrione has tighter striking defense, making opponents miss more often.
The Pick: Matt Mitrione over Philip De Fries. The model gives Mitrione a slight nod at 61% — this could easily go either way.
Brad Pickett vs Mike Easton
The Bantamweight matchup features Brad Pickett (5-8) taking on Mike Easton (3-3).
There's a real Elo separation here: Easton at 934 versus Pickett at 834. That 100-point gap typically reflects a meaningful difference in recent quality of competition and results.
Stylistically this is Pickett's all-rounder game against Easton's striker approach. Pickett is comfortable adjusting on the fly, mixing strikes and grappling as openings appear, while Easton brings a versatile approach. Historically these archetypes are dead-even when they collide.
A few statistical edges stand out. Pickett throws significantly more leather — a 0.5 sig. strike per minute gap. Pickett is far more active with takedowns, averaging 1.3 more per 15 minutes. Easton has tighter striking defense, making opponents miss more often.
The Pick: Mike Easton over Brad Pickett. The model gives Easton a slight nod at 59% — this could easily go either way.
Diego Brandao vs Pablo Garza
The Featherweight matchup features Diego Brandao (6-3) taking on Pablo Garza (3-2). Garza is the bigger frame at 6'1" with a 9-inch reach advantage.
Brandao is rated at 1131 — 193 points above Garza's 938. Gaps this large usually mean one fighter has been consistently beating better opponents.
The style clash matters here: Brandao is most dangerous on the ground, constantly threatening chokes and joint locks, while Garza looks to close distance and put the fight on the mat. In our database, wrestlers own a 56% win rate against submission artists, giving Garza the stylistic edge.
A few statistical edges stand out. Garza throws significantly more leather — a 1.5 sig. strike per minute gap. Brandao is far more active with takedowns, averaging 1.0 more per 15 minutes. Brandao has tighter striking defense, making opponents miss more often.
The Pick: Diego Brandao over Pablo Garza. We're leaning Brandao here at 68%, a solid but not overwhelming edge.
Akira Corassani vs Robert Peralta
The Featherweight matchup features Akira Corassani (3-2) taking on Robert Peralta (4-2). Peralta will look to use a 3-inch reach edge to control distance.
Peralta is rated at 1039 — 173 points above Corassani's 866. 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. Peralta throws significantly more leather — a 1.6 sig. strike per minute gap. Peralta is far more active with takedowns, averaging 0.6 more per 15 minutes. Peralta has tighter striking defense, making opponents miss more often.
The Pick: Robert Peralta over Akira Corassani. The model gives Peralta a slight nod at 58% — this could easily go either way.
Reza Madadi vs Michael Johnson
The Lightweight matchup features Reza Madadi (3-3) taking on Michael Johnson (15-15).
Johnson is rated at 1245 — 199 points above Madadi's 1046. Gaps this large usually mean one fighter has been consistently beating better opponents.
Stylistically this is Madadi's wrestler game against Johnson's striker approach. Madadi looks to close distance and put the fight on the mat, while Johnson brings a versatile approach. Historically these archetypes are dead-even when they collide.
A few statistical edges stand out. Madadi throws significantly more leather — a 0.6 sig. strike per minute gap. Madadi is far more active with takedowns, averaging 3.9 more per 15 minutes. Madadi has tighter striking defense, making opponents miss more often.
The Pick: Michael Johnson over Reza Madadi. This is essentially a pick'em. The model nudges toward Johnson at 55%, but there's almost nothing separating these two.
Tor Troeng vs Adam Cella
The Middleweight matchup features Tor Troeng (1-2) taking on Adam Cella (0-0).
The Elo gap here is razor-thin — Troeng at 862, Cella at 890. On paper, this is as close to a coin flip as it gets.
A few statistical edges stand out. Cella throws significantly more leather — a 0.0 sig. strike per minute gap. Cella is far more active with takedowns, averaging 0.0 more per 15 minutes. Cella has tighter striking defense, making opponents miss more often.
The Pick: Adam Cella over Tor Troeng. The model gives Cella a slight nod at 59% — this could easily go either way.
Adlan Amagov vs Chris Spang
The Welterweight matchup features Adlan Amagov (1-0) taking on Chris Spang (0-0).
Amagov is rated at 1265 — 350 points above Spang's 915. Gaps this large usually mean one fighter has been consistently beating better opponents.
A few statistical edges stand out. Spang throws significantly more leather — a 0.0 sig. strike per minute gap. Spang is far more active with takedowns, averaging 0.0 more per 15 minutes. Spang has tighter striking defense, making opponents miss more often.
The Pick: Chris Spang over Adlan Amagov. This is essentially a pick'em. The model nudges toward Spang at 55%, but there's almost nothing separating these two.
Conor McGregor vs Marcus Brimage
The Featherweight matchup features Conor McGregor (10-3) taking on Marcus Brimage (4-3). McGregor is the bigger frame at 5'9" with a 3-inch reach advantage.
McGregor is rated at 1573 — 766 points above Brimage's 806. 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. Brimage throws significantly more leather — a 5.0 sig. strike per minute gap. Brimage is far more active with takedowns, averaging 0.3 more per 15 minutes. McGregor has tighter striking defense, making opponents miss more often.
The Pick: Conor McGregor over Marcus Brimage. This is essentially a pick'em. The model nudges toward McGregor at 53%, but there's almost nothing separating these two.
Ryan LaFlare vs Ben Alloway
The Welterweight matchup features Ryan LaFlare (7-2) taking on Ben Alloway (1-1).
LaFlare is rated at 1174 — 276 points above Alloway's 898. Gaps this large usually mean one fighter has been consistently beating better opponents.
A few statistical edges stand out. Alloway throws significantly more leather — a 3.2 sig. strike per minute gap. Alloway is far more active with takedowns, averaging 0.0 more per 15 minutes. LaFlare has tighter striking defense, making opponents miss more often.
The Pick: Ben Alloway over Ryan LaFlare. The model gives Alloway a slight nod at 65% — this could easily go either way.
Tom Lawlor vs Michael Kuiper
The Middleweight matchup features Tom Lawlor (6-4) taking on Michael Kuiper (1-2).
Lawlor is rated at 1205 — 374 points above Kuiper's 831. Gaps this large usually mean one fighter has been consistently beating better opponents.
A few statistical edges stand out. Kuiper throws significantly more leather — a 0.9 sig. strike per minute gap. Lawlor is far more active with takedowns, averaging 1.9 more per 15 minutes. Lawlor has tighter striking defense, making opponents miss more often.
The Pick: Tom Lawlor over Michael Kuiper. The model gives Lawlor a slight nod at 61% — this could easily go either way.
Papy Abedi vs Besam Yousef
The Welterweight matchup features Papy Abedi (1-2) taking on Besam Yousef (0-1).
Abedi carries a modest Elo edge (865 to 814), the kind of gap that reflects a slightly better run of form rather than a talent chasm.
A few statistical edges stand out. Yousef throws significantly more leather — a 0.6 sig. strike per minute gap. Abedi is far more active with takedowns, averaging 1.9 more per 15 minutes. Abedi has tighter striking defense, making opponents miss more often.
The Pick: Besam Yousef over Papy Abedi. This is essentially a pick'em. The model nudges toward Yousef at 53%, 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.