The SportsWire

Texas

2026 · week 6 result vs Oklahoma

Updated Tue Oct 13, 7:55 PM CT

Next up projections

vs Florida

Week 7 · Sat Oct 17, 11:00 AM CT / 12:00 PM ET · DKR-Texas Memorial Stadium (Austin) · Florida (FBS, SEC)

Our call: Texas by 13.0Strong

All three models favor Texas. The line, shown for comparison only, has Texas by 10.0.

The average of SP+, Elo and Our model; the line is left out and kept as a benchmark. Toss-up under 3 points, Lean 3 to 7, Strong 7 and over. More ›

Game page: vs Florida ›

Regression watch: Last game's 3-point loss matched the play (score +1 against play), inside the 7-point band: no flag. More ›

Schedule: Played the 1st-toughest schedule in FBS so far (average opponent rating +11.4); 10th-toughest remaining (+11.2). More ›

Opponents by our model's rating 5 played · 7 left
  • Week 1 vs Texas State (+2.7)
  • Week 2 vs Ohio State (+25.9)
  • Week 3 vs UTSA (+0.9)
  • Week 4 at Tennessee (+13.1)
  • Week 6 vs Oklahoma (+14.7)
  • Remaining:
  • Week 7 vs Florida (+11.8)
  • Week 8 vs Ole Miss (+13.6)
  • Week 9 vs Mississippi State (+10.7)
  • Week 10 at Missouri (+13.9)
  • Week 11 at LSU (+18.5)
  • Week 12 vs Arkansas (-2.4)
  • Week 13 at Texas A&M (+12.0)

Each opponent's rating from our model's week 7 snapshot, in points against an average FBS team; the averages are ranked among the 138 FBS teams. Played means through week 6. Experimental, like the Our model card.

Series: Texas leads 3–1–1 · last: Florida 29–21, 2025

Series history 5 meetings since 1924
  • All-time: Texas leads 3–1–1 (5 meetings since 1924)
  • Last meeting: Florida 29–21, 2025, Ben Hill Griffin Stadium
  • Streak: none
  • At DKR-Texas Memorial Stadium: Texas leads 1–0 (1 meeting)
  • Biggest margins: Texas 49–17 (2024) · Florida 29–21 (2025)
  • Since 2000: tied 1–1 (2 meetings)
SeasonResultSite
2025Florida 29–21Ben Hill Griffin Stadium
2024Texas 49–17DKR-Texas Memorial Stadium
RatingTexasFlorida
SP+ +24.4 #6 +11.0 #31
Elo 1914 1619

Projected margin for Texas · three models and the line, side by side

SP+
+15.9
Texas +24.4 vs Florida +11.0
avg miss 10.6
closest 47/79
Elo
+14.3
Texas 1914 vs Florida 1619
avg miss 12.3
closest 33/79
Line · benchmark
+10.0
pregame line
avg miss 11.1
Our model · experimental
+8.7
Texas +18.1 vs Florida +11.8
prior 55%
avg miss 11.8
closest 14/40
How to read this
  • SP+ is a rating of how good a team is, in points better or worse than an average team, built from its play-by-play, so the gap between two teams' ratings is a projected margin.
  • Elo is a rating that goes up with every win and down with every loss, more for beating a strong team, less for beating a weak one. The gap between two ratings is divided by 25 to turn it into points.
  • The line is the pregame line, the margin the market expected, shown from Texas's side. It is not one of the models: it is shown for comparison only, as the benchmark the models and Our call are measured against.
  • Our model is this site's own experimental rating, built from each team's play-by-play adjusted for who it has played, blended with a preseason estimate from last season, returning players and recruiting. "prior 67%" means 67 percent of the rating is still that preseason estimate; the share shrinks as games are played.
  • In SP+, Elo and our model the home team gets 2.5 points (Texas); the line already includes the market's own home edge. The conversion to points is approximate.
  • "avg miss 9.8" under a card is how far that model's projections have been from the actual margins this season, on average, in points. "closest 10/39" is how many of the season's 39 finished games that model came closest on (a tie counts for every tied model); the line, a benchmark, shows its average miss only. Shown once a model has 20 finished games.
  • Our call, above the cards, is the site's prediction: the simple average of the SP+, Elo and our model margins. The pregame line is left out of it and kept as a benchmark to measure it against. Toss-up means the average is under 3 points, Lean 3 to 7, Strong 7 or more. It is made only when all three of those models have a number, and it is scored after the game like the models.
  • Each card is one method's estimate, shown side by side; when they disagree, that is worth knowing.
  • After a game, the sentence under the score shows every model and the line against the actual margin: ✓ when a model named the winner, ✗ when it did not (the line, a benchmark, gets no mark), and Closest: the model nearest the final margin among those present, never the line (an exact tie goes to the first listed). The "closest 10/39" counts keep the accuracy report's scoring of SP+ and Elo, where a tie credits both.
  • Metrics explained: the four models and their track record ›

Efficiency matchup · season to date · Texas 5 games, Florida 6 games

Edge: Texas wins 3 of 5

Texas stops plays better, is more disruptive and allows fewer big plays. Florida moves the ball better and has the edge on big plays.

Texaslonger bar = betterFlorida

Run game, head to head · season to date

Texas's runs work 45% of the time; Florida's run defense allows 44%. Florida's runs work 46% of the time; Texas's run defense allows 35%.

More numbers
MeasureTexasFloridaEdge
Off. success rate43.0%48.9%Florida
Off. explosiveness1.171.25Florida
Def. success rate allowed34.3%44.3%Texas
Def. explosiveness allowed1.051.27Texas
Havoc created21.2%18.4%Texas
  • Run game, success rate: Texas offense 44.5% · Florida defense allows 43.6% · edge: even
  • Run game, success rate: Florida offense 46.0% · Texas defense allows 35.4% · edge: Texas
  • Run game, PPA per play: Texas offense +0.02 · Florida defense allows +0.11 · edge: even
  • Run game, PPA per play: Florida offense +0.19 · Texas defense allows -0.07 · edge: even
  • Success rate: how often a play does its job, gaining enough yards to keep the offense on schedule.
  • Explosiveness: how big a team's successful plays are on average; a higher number means more big gains.
  • Havoc: how often the defense blows up a play with a sack, a tackle for loss, a takeaway or a pass broken up.
  • PPA (predicted points added): how many points an average play is worth to the offense; above zero is good for the offense, below zero good for the defense.

How to read this

  • Each row compares the two teams on one measure of how well they have played this season, offense and defense, using every game so far with garbage time (plays late in a decided game) left out.
  • The run game rows pair one team's rushing offense with the other's run defense. The row goes to whichever side is further from the FBS baseline this season, the offense by how far it runs above it, the defense by how much less it allows (baseline: run success rate 43%, PPA per play +0.08, the midpoint of what FBS offenses gain and FBS defenses allow, since both also play FCS teams), so two strong sides or two weak ones are judged by which is the more so. Edges within 3 points of success rate or 0.05 PPA are even. A strong run offense against a weak run defense is where a team can control the game on the ground.
  • In the five rows at the top the longer bar is the better number: bars are scaled within each row, and in the two "allowed" rows the lower number gets the longer bar.
  • Success rate is the share of plays that kept the offense on schedule (half the yards needed on first down, most of them on second, all of them on third or fourth). Explosiveness is how big the successful plays were, on average, in points. Havoc is the share of the opponent's snaps the defense wrecked: a tackle for loss, a sack, a takeaway or a pass broken up.
  • "Allowed" rows are what each defense gave up, so the lower value wins.
  • These are not adjusted for who each team has played, so a light schedule flatters a team, and early in the season they rest on very few games.
  • Metrics explained: success rate, explosiveness and havoc ›

Injuries

No injury report yet for this game. First reports usually come Wednesday.

Coverage (AI-assisted) · 45

Gathered by an AI model from public posts, not from CollegeFootballData. Not used in any number on this page. Verify against the linked sources. Beat coverage checked Tue Oct 13, 7:00 PM CT.

10 entries about games now final not shown.

Score and result

Texas 24, Oklahoma 27L

Game page: the call before kickoff and how each model did ›

Projected: SP+ n/a · Elo +8.0 ✗ · Our model +4.2 ✗ · the line (benchmark) +6.0 · actual -3 · Closest: Our model

Texas was as high as 84% and lost Texas was as high as 84% and lost Q1 Q2 Q3 Q4 100% 50% 0% 24–27
  1. Q4 · 2nd & 6 · 18% → 64%
    Shotgun #16 A.Manning pass complete short left to #4 J.Bishop Jr. caught at OU04, for 15 yards to the OU00 TOUCHDOWN, clock 06:32, 1ST DOWN #44 G.Spetic kick attempt good (H: #43 M.Chiumento, LS: #47 T.Dubuc) PENALTY OU Leverage (#34 A.Adebawore) 15 yards from OU00 to UT50
  2. Q4 14:52 · 1st & 2 · 71% → 32%
    (14:52) Shotgun #9 L.Avant rush middle for 2 yards gain to the UT00 TOUCHDOWN, clock 14:48, 1ST DOWN #29 T.Sandell kick attempt good (H: #87 J.Ulrich, LS: #50 B.Anderson)
  3. Q4 · 2nd & 13 · 49% → 12%
    No Huddle-Shotgun #16 A.Manning pass intercepted by #22 P.Bowen at UT42 #22 P.Bowen return 42 yards to the UT00 TOUCHDOWN, clock 10:07 #29 T.Sandell kick attempt good (H: #87 J.Ulrich, LS: #50 B.Anderson)

Neutral site at Cotton Bowl · Sat Oct 10, 2:30 PM CT / 3:30 PM ET · vs Oklahoma (FBS, SEC)

Opponent for every game-level number: Oklahoma (FBS, SEC).

Verdict

The 3-point loss matched the play: Oklahoma's per-play edge (PPA (expected points added per play) -0.08 vs -0.02, success rate 35% vs 34%) implies roughly a -4 margin.

The verdict compares the score with the margin the plays earned. How it is reached ›

Efficiency

Edge: Texas won 3 of 4

Texas moved the ball better, hit the bigger plays and was more disruptive. Oklahoma got more from each play.

Texaslonger bar = betterOklahoma
More numbers

Texas ran 65 plays, Oklahoma 59. Each number is that team's offense; Oklahoma's column is also what Texas's defense allowed.

MeasureTexasOklahomaEdge
PPA / play-0.08-0.02Oklahoma
Total PPA-5.0-1.3Oklahoma
Success rate35.4%33.9%Texas
Explosiveness1.370.81Texas
Havoc created22.8%15.9%Texas
  • Success rate: how often a play did its job, gaining enough yards to keep the offense on schedule.
  • Explosiveness: how big a team's successful plays were on average; a higher number means more big gains.
  • Havoc: how often the defense blew up a play with a sack, a tackle for loss, a takeaway or a pass broken up. Counted from the play-by-play, so it is approximate.
  • PPA (predicted points added): how many points an average play was worth to the offense. Total PPA adds up every play, and is what the Verdict compares with the score.

How to read this

  • The four rows at the top compare the two offenses in this game; the longer bar is the better number, scaled within each row. A number at or below zero draws no bar.
  • A check marks the better side of a row. The line above the rows counts them: it describes how the game was played, not who won it.
  • Metrics explained ›
Top performers

Texas players by cumulative PPA in this game. Usage is the share of the team's plays of that type involving the player. Receiving is passing-play PPA for non-quarterbacks.

Passing

PlayerPass usagePPA/play
Arch Manning QB 100% +5.7 +0.18

Rushing

PlayerRush usagePPA/play
Arch Manning QB 17% +1.4 +0.27
Raleek Brown RB 17% +0.1 +0.02
Derrek Cooper RB 27% -0.4 -0.06
Daylan Smothers RB 40% -0.8 -0.07

Receiving

PlayerTarget usagePPA/play
Cam Coleman WR 25% +6.0 +0.76
Ryan Wingo WR 12% +3.7 +0.93
Emmett Mosley V WR 22% +3.2 +0.46
Jermaine Bishop Jr. WR 6% +1.9 +0.93
By play type
MeasureTexasOklahomaEdge
Rushing PPA+0.01-0.16Texas
Rushing success40.0%31.0%Texas
Passing PPA+0.18+0.16Texas
Passing success34.4%39.3%Oklahoma
Standard downs PPA+0.06-0.03Texas
Standard downs success40.9%44.2%Oklahoma
Passing downs PPA-0.36+0.01Oklahoma
Passing downs success23.8%6.2%Texas

Havoc detail — Texas defense: TFL 7, sacks 2, takeaways 0, breakups 4 on 57 snaps. Oklahoma defense: TFL 2, sacks 2, takeaways 2, breakups 4 on 63 snaps.

Drives

A scoring opportunity is a drive that reaches the opponent's 40-yard line or scores; points per opportunity is the points those drives produced divided by their number.

◀ TexasOklahoma ▶
  • 15Drives14
  • 11Scoring opportunities9
  • 1.5Points per opportunity1.4
  • own 28Avg. starting field positionown 26
By half

Shown because the game changed between halves: the per-play edge swung by 0.51 points a play (Texas +0.29 in the first half, -0.22 in the second). Overtime counts with the second half.

TexasOklahoma
1st2nd1st2nd
PPA / play+0.23-0.17-0.06+0.05
Success rate39%38%23%45%
Plays31322631

Recruiting

MeasureTexasOklahoma
2026 class rank715
2026 class points291.18252.55
Talent composite 985.2
#2 of 138
851.1
#17 of 138
Transfer portal · 22 in, 28 out

Arrivals (22)

PlayerFrom★Elig.Date
Cam Coleman WR Auburn 5 Immediate Jan 11, 2026
Ian Geffrard DL Arkansas 4 Immediate Jan 4, 2026
Bo Mascoe CB Rutgers 4 Immediate Jan 7, 2026
Raleek Brown RB Arizona State 4 Immediate Jan 8, 2026
Rasheem Biles LB Pittsburgh 4 Immediate Jan 11, 2026
Hollywood Smothers RB NC State 4 Immediate Jan 11, 2026
Melvin Siani OT Wake Forest 4 Immediate Jan 15, 2026
Sterling Berkhalter WR Wake Forest 4 Immediate Jan 15, 2026
Michael Masunas TE Michigan State 3 Immediate Jan 5, 2026
Zion Williams DL LSU 3 Immediate Jan 8, 2026

+12 more not shown (22 total).

Departures (28)

PlayerTo★Elig.Date
Quintrevion Wisner RB Florida State 4 Immediate Jan 5, 2026
Parker Livingstone WR Oklahoma 4 Immediate Jan 6, 2026
Liona Lefau LB Colorado 4 Immediate Jan 8, 2026
Kobe Black CB undecided 4 Immediate Jan 9, 2026
Elijah Barnes LB Kentucky 4 Immediate Jan 11, 2026
DeAndre Moore Jr. WR Colorado 4 Immediate Jan 13, 2026
Nick Brooks IOL Alabama 4 Immediate Jan 14, 2026
Warren Roberson S undecided 4 Withdrawn Jan 16, 2026
Aaron Butler WR undecided 3 Immediate Dec 9, 2025
Caleb Chester CB Arizona State 3 Immediate Jan 4, 2026

+18 more not shown (28 total).

2026 commits · 26
PlayerHometown★Rating
Dia Bell QB Fort Lauderdale, FL 5 0.9903
John Meredith III CB Fort Worth, TX 5 0.9897
Tyler Atkinson LB Loganville, GA 5 0.9860
Richard Wesley EDGE Chatsworth, CA 5 0.9851
Jermaine Bishop ATH Willis, TX 4 0.9738
Jamarion Carlton DL Temple, TX 4 0.9713
John Turntine III OT Fort Worth, TX 4 0.9635
James Johnson DL Miami, FL 4 0.9551
Derrek Cooper RB Hollywood, FL 4 0.9529
Kosi Okpala EDGE Houston, TX 4 0.9492
Samari Matthews CB Cornelius, NC 4 0.9428
Nicolas Robertson IOL Spring, TX 4 0.9166
Kohen Brown WR Waxahachie, TX 4 0.9109
Hayward Howard Jr. CB New Orleans, LA 4 0.9029
Chris Stewart WR Pearland, TX 4 0.9015

+11 more not shown (26 total).

Returning production

Share of last season's production returning for Texas in 2026.

Unit% PPAPPAUsage
Overall72.1%187.558.0%
Passing85.4%73.697.9%
Receiving55.0%81.342.3%
Rushing126.4%32.627.8%

A figure above 100% or below 0% is expected when last season's returning players had negative PPA in that phase, since PPA can be negative.