North Texas
- SP+
- −1.0 (#76)
- FPI
- +1.6 (#59)
- SRS
- +4.2 (#51)
- Resume
- #43
Next game
Season outlook
YardLine's points model projects every game left on the schedule, and the season is played out 50,000 times to see where the record could land. How it works →
Projected record, 2026
- Bowl eligible
- 98%
- Most likely
- 8-4
- Wins out
- 8%
Games that decide it
Every game is worth one win, so the ones that shape North Texas's record most are the ones closest to a coin flip.
Win: 8.5 projected wins, >99% bowl eligible · Lose: 7.4, 97%
Win: 8.5 projected wins, >99% bowl eligible · Lose: 7.4, 97%
Win: 8.6 projected wins, >99% bowl eligible · Lose: 7.5, 98%
Rest of the schedule
- NAVYat NavySat, Oct 24 · 3:30 PM EDT53%
- FAUvs Florida AtlanticThu, Oct 29 · 7:30 PM EDT78%
- RICEvs RiceSat, Nov 7 · TBD90%
- UTSAat UTSASat, Nov 14 · TBD40%
- TULNat TulaneSat, Nov 21 · TBD53%
- UABvs UABSat, Nov 28 · TBD82%
Updated Tuesdays, after the week's games are scored.
Advanced stats
CollegeFootballData's play-by-play measures of how efficient and explosive a team was, placed against every other FBS team. How it works →
Profile vs. FBS, 2026
Farther out is better on every spoke. Dashed ring: the FBS median.
- EPA per playExpected points added on an average snap: how much each play moved the scoring odds.
- Success rateShare of snaps that stayed on schedule: half the yards needed on 1st down, 70% on 2nd, all of them on 3rd or 4th.
- ExplosivenessAverage EPA on the successful snaps: how big the good plays were.
- Rushing EPAEPA per designed run.
- Passing EPAEPA per pass play.
- Standard downsSuccess rate on downs where either a run or a pass makes sense, like 1st and 10 or 3rd and 2.
- Passing downsSuccess rate on downs that all but force a pass, like 2nd and 8 or longer, or 3rd and 5 or longer.
- Line yardsRushing yards per carry credited to the offensive line, weighting the first few yards most.
- Stuff rateShare of runs stopped at or behind the line of scrimmage.
- HavocShare of snaps with a tackle for loss, sack, forced fumble, interception or pass breakup.
Percentiles among the 138 FBS teams this season, where higher is better for the offense and the defense alike (a defense's numbers are what it allowed). The line in each bar is the FBS median. Garbage time excluded. Source: CollegeFootballData.
Expected points
YardLine's expected-points model values every snap by what a drive from that spot is worth on average, so a drive can be judged against where it started. How it works →
Drives vs. expectation, 2026
Points over expected per drive, from where each drive started.
Per drive against an average FBS opponent, neutral field.
Points over expected per trip inside the opponent's 40.
Average expected points where drives started.
Every snap has an expected-points value: what a drive from that spot, down and distance is worth on average. A drive over expected beat its starting spot; defense counts what North Texas allowed, so lower is better. The adjusted number fits every team against the opponents it actually played, so it leans toward average early in a season. Ranks are among FBS teams.
Game by game
Bars above the line: better than expected for North Texas.
Players
YardLine's player model credits every play's value to the players involved, so each one's season can be measured in wins above a typical backup. How it works →
Players, 2026
Quarterback is the most valuable starting slot by a wide margin: the gap between a top-decile and a median FBS quarterback is about twice the gap at any other position.
- Tayven JacksonQB137 plays · +0.164 pts/play · 30th of 192 QBs0.42WAR0.18 to 0.64
- Jahiem WhiteRB80 plays · +0.106 pts/play · 22nd of 320 RBs0.16WAR0.10 to 0.21
- Corri MillinerWR21 plays · +0.168 pts/play · 103rd of 364 WRs0.07WAR0.04 to 0.10
- Max ReeseTE10 plays · +0.138 pts/play · 51st of 164 TEs0.03WAR0.01 to 0.04
- Brec LongTE10 plays · +0.101 pts/play · 76th of 164 TEs0.02WAR0.01 to 0.03
- Ian RatliffP7 plays · +0.048 pts/play · 51st of 84 punters0.01WAR0.00 to 0.01
By position group, against FBS
Linemen and defenders are valued as units, in points per game against the median FBS unit, because play-by-play doesn't say who was on the field. Players are valued against a replacement-level backup, so the two aren't added together.
Wins above replacement credits each play's expected points to the players involved, adjusted for the opponent, and compares North Texas's players with a typical backup; 53 points make a win. Only snaps while the game was in doubt count, so a starter on a team that blows opponents out plays fewer of them: read value per play beside WAR. The line under each player (or the range on a phone) is the 90% interval. Ranks are among FBS teams and players. How this works
Transfer portal, 2026
50 players transferred in and 38 out. WAR is each one's 2025 season, before the move. Every team's portal
So far in 2026, the arrivals have added 0.70 WAR at North Texas and the departures 1.00 wherever they went.
- Tayven JacksonQB · 3★from UCF1.160.42
- Corri MillinerWR · 3★from UAB0.090.07
- Ian RatliffPfrom App State0.020.01
- Jahiem WhiteRB · 3★from West Virginia0.010.16
- Brec LongTE · 3★from South Alabama-0.02
- Max ReeseTE · 3★from Mississippi State-0.03
The other 44
- Aaron AlexanderLB · 3★from Arkansas State--
- Andrew CunninghamIOL · 3★from Charlotte--
- Andy JeanWR · 3★from Arkansas--
- Brandon JonesS · 3★from McNeese--
- Brendon HaygoodRB · 3★from Missouri--
- C.J. CoombesS · 3★from Wofford--
- Caden JenkinsCB · 3★from Baylor--
- Cedric RobertsLB · 3★from Alcorn State--
- Chandler StrongIOL · 3★from Georgia Southern--
- Chantz JohnsonLB · 3★from Texas State--
- Chaston DittaQB · 3★from East Carolina--
- Christian LorenzoDL · 3★from Illinois State--
- Curlee Thomas IVEDGE · 3★from California--
- David OnuohaEDGE · 3★from Massachusetts--
- Davion RhodesEDGE · 3★from Georgia Southern--
- Drew ClemensTE · 3★from Utah--
- Grayson O'BaraWR · 3★from Dartmouth--
- Henry FenukuIOL · 3★from Missouri--
- Ja'Bree BickhamS · 3★from Boise State--
- Jaden AllenCB · 3★from Arkansas--
- James TyreWR · 3★from Western Carolina--
- Jason Cross Jr.S · 3★from West Virginia--
- Johnny Williams IVOT · 3★from Missouri--
- Josiah MartinWR · 3★from Oklahoma--
- Justin BentonDL · 3★from East Carolina--
- Justin StevensonWR · 3★from Utah--
- Keshawn DavilaCB · 3★from Arkansas--
- Neto UmeozuluIOL · 3★from Texas--
- Nick OshoRB · 3★from Indiana State--
- Peyton TaylorCB · 3★from Emporia State--
- Steven CurtisDL · 3★from Minnesota--
- Taye SeymoreS · 3★from Auburn--
- TJ ChukwurahWR · 3★from Black Hills State--
- Udoka EzeaniEDGE · 3★from UTEP--
- Wesley HudsonDL · 3★from Central Oklahoma--
- Zach JohnsonCB · 3★from Southeastern Louisiana--
- Zakye BarkerLB · 3★from SMU--
- Cameren JenkinsSfrom Baylor--
- Colin PageRBfrom Texas--
- Dominic De FreitasKfrom App State--
- Graham GillespieSfrom Texas--
- Jacob PoffLSfrom App State--
- Jahzari PriesterDLfrom Virginia Tech--
- Mouhamed DiawaraEDGEfrom Sioux Falls--
- Drew MestemakerQB · 5★to Oklahoma State1.250.37
- Caleb HawkinsRB · 4★to Oklahoma State0.510.27
- Wyatt YoungWR · 4★to Oklahoma State0.250.12
- Makenzie McGill IIRB · 3★to Abilene Christian0.09-
- Landon SidesWR · 3★to East Carolina0.080.01
- Miles ColemanWR · 3★to Oklahoma State0.060.04
The other 32
- Kiefer SibleyRB · 3★to New Mexico0.050.07
- Ashton GrayRB · 3★to East Carolina-0.08
- Brandon Young Jr.TE · 3★to UTSA-0.01
- Terrence LewisWR · 3★to Oklahoma State-0.04
- Braydon NelsonOT · 3★to Oklahoma State--
- Christian PettwayOT · 3★to Stephen F. Austin--
- Desmond MagiyaOT · 3★to Oklahoma State--
- Ethan DayDL · 3★to Utah--
- Ethan WesloskiLB · 3★to Oklahoma State--
- Evan JacksonS · 3★to Oklahoma State--
- Fatafehi Vailea IIDL · 3★to Oklahoma State--
- Gabe StroudCB · 3★to Montana--
- Jayden WilliamsDL · 3★to California--
- Jaydon SmithS · 3★to UTRGV--
- Jaymon LambOT · 3★to UTEP--
- JJ Jean-LouisLB · 3★to Prairie View A&M--
- Johnny Dickson IIIIOL · 3★to Oklahoma State--
- Joshua PierceEDGE · 3★to California--
- Keviyan HuddlestonEDGE · 3★to Oklahoma State--
- Kollin LewisCB · 3★to Oklahoma State--
- Patrick Smith-YoungS · 3★to Duke--
- Quinton HammondsS · 3★to Oklahoma State--
- Reese PoffenbargerQB · 3★to Akron--
- Saadiq ClementsDL · 3★to Oklahoma State--
- Tyler BrownWR · 3★to Midwestern State--
- Tyrane StewartCB · 3★to Idaho--
- Will SmithEDGE · 3★to Southern Miss--
- Blake FannLBto Northwestern State--
- Caden YatesLSto Oklahoma State--
- Dennis MoodyRBto undecided--
- Jayden BecksRBto undecided--
- Miguel ArenasKto Washington State--
Only quarterbacks, skill players and specialists have a WAR of their own, so they make up these totals; linemen and defenders count in the moves but add none. 2025 is the player's season at his old school, 2026 his season after the move, so far. A dash means no FBS snaps that season. Rosters tie CFBD's portal entries to players, which works for about 19 in 20 skill-position moves.
Talent and roster
How much talent the roster had, by recruiting ratings, and how much of it showed up on the field, against every other FBS team. How it works →
What it had and what it did, 2026
- Roster talent: 602, 95th of 138 in FBSRoster talent247Sports' talent composite: the recruiting ratings of every player on the roster, transfers included.
- Recruiting: 142, 111th of 138 in FBSRecruitingAverage 247Sports class score over this season's class and the three before it.
- Returning production: 3%, 129th of 136 in FBSReturning productionShare of last season's production (expected points added) by players still on the roster.
- SP+ rating so far: −1.0, 76th of 138 in FBSSP+ rating so farThe result: Bill Connelly's opponent-adjusted rating, points per game better than an average FBS team.
Ranks and bars among the 138 FBS teams with a talent rating this season, best first; the line in each bar is the FBS median.
Talent conversion so far
North Texas's SP+ of −1.0 is 2.5 points above the −3.5 its roster talent predicts, 53rd of 138 in FBS.
The same comparison on each side of the ball, positive is better for both. In-season SP+ still leans on preseason expectations, so early numbers sit close to zero.
Conversion by season
Fourth downs
YardLine's fourth-down model values going for it, kicking and punting on every real fourth down, so each call can be checked against the numbers. How it works →
Fourth-down calls vs. the numbers, 2026
Calls that matched the option with the best modeled win probability.
Summed over every call that differed, in points of win probability.
Went for it when going beat every other option by a point or more.
Each real fourth down is valued three ways (go for it, kick, punt) from the score, clock and field position before the snap, using league-wide odds rather than North Texas's own. A call that differs gives up the gap to the best option; gaps under one point are close calls, and the 0 clear-cut ones account for 0.00 of the 0.01 expected wins. The model sees the situation, not the injury report, so a call it disagrees with can still be right. Ranks are among FBS teams; 1st gave up the least.
Costliest calls against the numbers
- at TXSTQ3 7:30 4th & 11 at TXST 39, tiedWent for it; the numbers favored punting (close call)−0.2 pts
- at TXSTQ4 14:20 4th & 4 at TXST 14, down 7Went for it; the numbers favored a field goal (close call)−0.2 pts
- at IUQ2 9:48 4th & 3 at IU 29, down 14Kicked a field goal; the numbers favored going for it (close call)−0.1 pts
- vs CLTQ4 8:24 4th & 3 at CLT 3, up 37Kicked a field goal; the numbers favored going for it (close call)−0.1 pts
- vs CLTQ1 10:52 4th & 3 at CLT 8, tiedKicked a field goal; the numbers favored going for it (close call)−0.1 pts
- vs CLTQ2 0:20 4th & 1 at CLT 20, up 23Went for it; the numbers favored a field goal (close call)−0.1 pts
- vs CLTQ2 2:49 4th & 4 at UNT 35, up 23Punted; the numbers favored going for it (close call)<0.1 pts
- at TLSAQ2 7:22 4th & 5 at TLSA 24, down 11Went for it; the numbers favored a field goal (close call)<0.1 pts
Every call this season (37)
- Q1 11:204th & 1 at UNT 34, down 7 · Went for itAgreed
- Q1 5:524th & 3 at IU 38, down 7 · Went for itAgreed
- Q2 9:484th & 3 at IU 29, down 14 · Kicked a field goalClose call
- Q2 1:574th & 5 at IU 15, down 18 · Kicked a field goalAgreed
- Q3 6:254th & 11 at UNT 48, down 18 · PuntedAgreed
- Q3 1:184th & 6 at IU 20, down 18 · Kicked a field goalAgreed
- Q4 11:024th & 11 at UNT 24, down 22 · PuntedAgreed
- Q4 1:554th & 2 at IU 45, down 29 · Went for itClose call
- Q1 10:484th & 17 at UNLV 17, tied · Kicked a field goalAgreed
- Q1 6:274th & 9 at UNLV 9, up 6 · Kicked a field goalAgreed
- Q2 13:514th & 12 at UNT 22, up 13 · PuntedAgreed
- Q2 9:104th & 12 at UNT 3, up 10 · PuntedAgreed
- Q4 12:084th & 10 at UNT 39, up 28 · PuntedAgreed
- Q4 1:124th & 7 at UNLV 23, up 35 · Kicked a field goalAgreed
- Q1 11:224th & 10 at UNT 29, tied · PuntedAgreed
- Q1 8:404th & 1 at UNT 35, tied · Went for itAgreed
- Q1 6:134th & 5 at TLSA 34, tied · Went for itAgreed
- Q1 3:064th & 5 at TLSA 8, tied · Kicked a field goalAgreed
- Q2 7:224th & 5 at TLSA 24, down 11 · Went for itClose call
- Q3 2:364th & 6 at UNT 29, up 7 · PuntedAgreed
- Q4 14:564th & 1 at TLSA 38, up 7 · Went for itAgreed
- Q4 12:294th & 15 at TLSA 40, up 7 · PuntedAgreed
- Q1 10:524th & 3 at CLT 8, tied · Kicked a field goalClose call
- Q2 9:554th & 1 at UNT 46, up 14 · Went for itAgreed
- Q2 8:364th & 10 at UNT 47, up 14 · PuntedAgreed
- Q2 2:494th & 4 at UNT 35, up 23 · PuntedClose call
- Q2 0:204th & 1 at CLT 20, up 23 · Went for itClose call
- Q3 6:024th & 15 at UNT 45, up 37 · PuntedAgreed
- Q3 0:484th & 2 at CLT 42, up 37 · Went for itAgreed
- Q4 8:244th & 3 at CLT 3, up 37 · Kicked a field goalClose call
After touchdowns: kick or go for two?
Tries that matched the option with the better modeled win probability.
Summed over every try that differed, in points of win probability.
Went for two when it beat kicking by a point or more.
Win probability
YardLine's model estimates each team's chance of winning before kickoff and again after every play, from the score, clock, down, distance and field position. How it works →
Record vs. expectation, 2026
18th of 138 FBS teams at beating the model's pregame expectations
Expected wins adds up North Texas's chance of winning each game as the model saw it at kickoff - a 70% favorite counts 0.7.
What moved it, 2026
Every game starts at North Texas's pregame chance; everything after that is the field. The model's own breakdown of each game's final play splits the on-field part by what drove it, and the parts add up exactly. How it works →
- Scoreboard+0.66
- Possession & field position+0.03
- Clock−0.16
- Timeouts+0.19
- Less the pregame edge, counted before kickoff−0.01
Game by game
- IUL 16-52 at IU1% → 0%Before kickoff −49 · On the field −1: Scoreboard −2
- UNLVW 44-6 vs UNLV37% → 100%Before kickoff −13 · On the field +63: Scoreboard +56
- TXSTL 35-49 at TXST31% → 1%Before kickoff −19 · On the field −30: Scoreboard −31, Timeouts −2
- HCUW 63-14 vs HCU98% → 100%Before kickoff +48 · On the field +2: Scoreboard +3
- TLSAW 45-44 at TLSA47% → 77%Before kickoff −3 · On the field +30: Scoreboard +31, Timeouts +20
- CLTW 50-10 vs CLT94% → 100%Before kickoff +44 · On the field +6: Scoreboard +9
Points of win probability, from North Texas's side.
Closest call
UNT 33-30 WMU (2025) - North Texas dropped to a 1.3% win probability before pulling it out.
Season arc, 2026
Every completed game this season, in order - each tile is North Texas's own win-probability curve.
Biggest swings of 2026
The largest single-play change in North Texas's win probability this season - one snap that moved the outcome the most.
Stolen wins
North Texas's own lowest win probability at any point in a game it went on to win, across the whole archive - the deepest holes it climbed out of.
Let it slip
North Texas's own highest win probability at any point in a game it went on to lose, across the whole archive - the biggest leads it didn't hold.
Stock & rivalries
Stock
North Texas's leaguewide Elo rating, tracked like a stock price - built from game results and margins, not the model's own win-probability predictions.
Series & rivalries
North Texas's most-played opponents across the whole archive - open one for the full head-to-head history.