UNLV vs. North Texas: Final Score & Recap
Final score, recap & advanced stats


UNLVTeam statsUNT
- Q4 1:12UNTDominic De Freitas 41 Yd Field Goal 6–44
- Q4 8:24UNTBrendon Haygood 9 Yd Run (Dominic De Freitas Kick)6–41
- Q3 5:39UNTMax Reese 16 Yd pass from Chris Jimerson Jr. (Dominic De Freitas Kick)6–34
- Q3 10:45UNLVRamon Villela 37 Yd Field Goal 6–27
- Q3 12:32UNTJahiem White 5 Yd Run (Dominic De Freitas Kick)3–27
- Q2 1:56UNTTayven Jackson 3 Yd Run (Dominic De Freitas Kick)3–20
- Q2 5:38UNLVRamon Villela 39 Yd Field Goal 3–13
- Q1 3:51UNTJahiem White 32 Yd pass from Tayven Jackson (Dominic De Freitas Kick)0–13
- Q1 6:27UNTDominic De Freitas 27 Yd Field Goal 0–6
- Q1 10:48UNTDominic De Freitas 35 Yd Field Goal 0–3
How the model called it
Everyone leads with 58-27 in 2022; North Texas went 12-2 last season, and this one projects 28-28 with the market laying points on UNLV.
The number everyone reaches for is 58-27, UNLV's 31-point win the last time these programs met, in 2022. It is the wrong prior for this one: North Texas went 12-2 last season and scored 45.1 points a game, better on both counts than UNLV's 10-4 at 34.1, and North Texas returns the larger share of its production. This game projects 28-28, with North Texas at 51 percent and getting 4.5 points on top of that.
Cumulative margin after each quarter. Above the line = UNLV ahead, below = UNT ahead.
Play-by-play win probability isn't available for this game — scoreboard margin by quarter shown instead.
- PassJackson Arnold 18/27, 194 YDS
- RushJai'Den Thomas 10 CAR, 37 YDS
- RecTaz Reddicks 5 REC, 75 YDS
- PassTayven Jackson 15/26, 233 YDS, 2 TD
- RushJahiem White 12 CAR, 124 YDS, 1 TD
- RecCorri Milliner 3 REC, 65 YDS
FAQ
What was the final score of UNLV vs. North Texas?
UNLV 6, North Texas 44.
Did Gridpex's model pick hit?
Yes — the model's pick (UNT) was correct.
| UNLV | UNT | |
|---|---|---|
| 301 | Total yards | 444 |
| 203 | Passing yards | 261 |
| 98 | Rushing yards | 183 |
| 18 | First downs | 22 |
| 7-17 | 3rd down | 7-13 |
| 1-3 | 4th down | 0-0 |
| 19/33 | Comp/Att | 17/29 |
| 6.2 | Yards per pass | 9.0 |
| 2.5 | Yards per rush | 4.8 |
| 4 | Turnovers | 0 |
| 8-64 | Penalties | 10-73 |
| 27:45 | Possession | 32:15 |
- Q4 1:12UNTDominic De Freitas 41 Yd Field Goal 6–44
- Q4 8:24UNTBrendon Haygood 9 Yd Run (Dominic De Freitas Kick)6–41
- Q3 5:39UNTMax Reese 16 Yd pass from Chris Jimerson Jr. (Dominic De Freitas Kick)6–34
- Q3 10:45UNLVRamon Villela 37 Yd Field Goal 6–27
- Q3 12:32UNTJahiem White 5 Yd Run (Dominic De Freitas Kick)3–27
- Q2 1:56UNTTayven Jackson 3 Yd Run (Dominic De Freitas Kick)3–20
- Q2 5:38UNLVRamon Villela 39 Yd Field Goal 3–13
- Q1 3:51UNTJahiem White 32 Yd pass from Tayven Jackson (Dominic De Freitas Kick)0–13
- Q1 6:27UNTDominic De Freitas 27 Yd Field Goal 0–6
- Q1 10:48UNTDominic De Freitas 35 Yd Field Goal 0–3
Model prediction
how the number is builtOur model simulates the game drive by drive from each side's opponent-adjusted efficiency (UNT Elo 1590, UNLV Elo 1589 for reference), with home-field advantage. That projects UNT -0.6 (51% to win) — 3.1 points clear of UNT's market line of +2.5. That is a disagreement, not a betting edge — sides we favour have not covered at better than breakeven.
Why that percentage is worth reading: across 604 graded in-season games, the calls this model put near 58% came in at 58.2%. The full calibration table is published, bin by bin. Early in the season the cold-start path runs instead and calibrates less well (Brier 0.2028 against 0.1889).
Model as of Sep 1 · through week 1 · drive simulation
Season form — 2026
nationally rankedThe matchup, in context
series history + adjusted profiles| UNLV | UNT | |
|---|---|---|
| +0.3 (#68) | CORE overall | -1.4 (#77) |
| -3 / -4 | offense / defense | +6 / +8 |
| 1.83 | points / drive | 1.78 |
| 1.44 | allowed / drive | 5.78 |
| 22% | three-and-outs | 11% |
| -7 | pass over expected | -13 |
Bold is the side ahead. CORE strips the situation from every play and solves the schedule out across the league, so these compare two teams that never met.
Key matchups
The analyst read: each team's offense splits crossed against the opponent's defense, with the edges called out.
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North Texas stops the run, not the pass
Everyone leads with 58-27 in 2022; North Texas went 12-2 last season, and this one projects 28-28 with the market laying points on UNLV.
The range of outcomes for this game. Each bar is how often the final margin lands in that range — the more it leans toward North Texas, the more likely North Texas wins.
Hawai'i and Indiana said more than the two scores did
UNLV won 21-6 at Hawai'i and scored on 25.0 percent of its twelve drives, going three-and-out on 33.3 percent of them at 33.1 yards a possession. North Texas lost 16-52 at Indiana while scoring on 40.0 percent of ten drives, going three-and-out on 20.0 percent, and gaining 36.5 yards a possession. North Texas moved the ball more consistently than UNLV did, against the better defense, and UNLV's win came from holding Hawai'i to six.
UNLV has allowed 16.5 points a game and gave up six at Hawai'i, so the defense, not the 21.0 points a game its offense has produced, is why UNLV sits at 1-1. North Texas surrendered 52 in a single afternoon at Indiana, and that figure should come down against a UNLV offense averaging 21.0. Coming down is a long way from North Texas repairing a defense inside seven days.
Each ingredient of our projection and the side it favors — bars toward UNLV are why it's the pick (home field is counted separately).
UNLV's whole Case is what it can do over the top
The biggest mismatch in the game is UNLV's big-play production against what North Texas's defense allows, plus 2.4 standard deviations, with explosive passing at plus 1.42 behind it. North Texas ranks 169th of 185 in pass yardage allowed, which is exactly where UNLV should be aiming. Jackson Arnold projects for 230 to 434 passing yards with a 43 percent chance of a touchdown, a band that wide because Arnold has one game of record.
Arnold at 230 yards is a UNLV offense that merely stays on schedule; Arnold at 434 is North Texas losing this in a handful of throws. UNLV does not need the top of that range against a pass defense ranked 169th of 185, and the 43 percent touchdown chance attached to Arnold is modest for a quarterback drawing this particular coverage. The gap between those two afternoons is most of the gap between UNLV 28 and UNLV well past it.
The receiving bands spread the yardage rather than funnel it: Kayden McGee projects 27 to 82 with a 25 percent touchdown chance, Tastean Reddicks 25 to 77, Tavian Mcnair 21 to 65 with the same 25 percent. UNLV's overall efficiency edge of plus 1.75 matters more than any one of those matchups, because it points at drives longer and cleaner than the 33.1 yards apiece UNLV managed six days ago at Hawai'i.
Each unit matchup this season, sorted by how decisive it is — the top bar is what most tilts the game. Bars toward North Texas are battles it should win; toward UNLV are ones UNLV wins.
North Texas defends the run, which is UNLV's fallback
North Texas's run defense grades 59th of 185, a genuinely good unit sitting on the same roster as coverage ranked 169th. Jai'Den Thomas projects for 37 to 102 rushing yards with a 49 percent touchdown chance and Jaylon Glover for 18 to 50, floors that low because North Texas is hard to run on. A UNLV plan built on establishing the run attacks the one part of the North Texas defense that holds.
North Texas can only add a defender to the box if the coverage behind it survives, and 169th of 185 says it has not. UNLV's cleanest script is early-down throwing that keeps Thomas out of second-and-long, then handing Thomas the carries that come against a light box rather than the ones every defender sees coming. That is how UNLV turns a 59th-ranked run defense into a survivable one.
Short yardage is where the North Texas grind stops paying
North Texas holds the run-game edge, plus 1.32 toward its offense, and that is the outline of an upset: long possessions, fewer snaps for UNLV. Short-yardage and power runs 1.79 standard deviations the other way, toward UNLV's defense, so the widest edge North Texas owns gets neutralized at the goal line and on fourth-and-short. North Texas grinding into the red zone and settling for field goals is how a 28-28 projection turns into a North Texas loss.
North Texas carries the better roster talent and the larger returning core, while UNLV carries the unit that has actually held up, 16.5 points a game allowed and six conceded at Hawai'i. Roster talent is a claim about what North Texas should be; 16.5 points a game is a claim about what UNLV has been. A 1-1 record is a thin ledger for UNLV, but it is the only 2026 evidence either side owns.
Points allowed per drive across all FBS defenses (lower is better). UNLV's defense is above average, better than 80% of FBS defenses.
North Texas already showed the shape of its upset
North Texas scored on 40.0 percent of its drives at Indiana and went three-and-out on only 20.0 percent, gaining 36.5 yards every time it had the ball, and it did that against a defense stiffer than the one UNLV brings. Repeat those rates, lean on the plus 1.32 run-game edge, and hold UNLV under the twelve possessions it got at Hawai'i, and the 28-28 projection tips to North Texas.
North Texas is getting 4.5 points in a game that projects 28-28, and UNLV's chance of covering that number sits at 38 percent. The distance between UNLV winning and UNLV winning by five is where this matchup lives, because UNLV's edges are the plus 2.4 big-play kind that arrive in bunches while the North Texas edges are the plus 1.32 run-game kind that shorten an afternoon. A total of 57.2 assumes neither offense gets squeezed out.
Chunk plays against clock control, and 28-28 is honest
UNLV needs Arnold attacking a secondary ranked 169th of 185 and its defense winning the short-yardage snaps where it grades 1.79 standard deviations better; a UNLV plan that devolves into a rushing contest against a 59th-ranked run defense hands back the one structural edge it has. North Texas needs drives ending in points at the 40.0 percent clip it managed at Indiana. The projection gives a one-score finish about a 39 percent chance and the under 28 percent.
Our coverage of this game
Where this number comes from. Every projection on this page is produced by the same model, run before kickoff on opponent-adjusted efficiency, power ratings and situational data — walk-forward validated on eleven seasons and never adjusted after the fact. How the model works →

UNLV wins