The SportsWire

Arizona

2026 · Last game: week 6 vs West Virginia · bye in week 7

Updated Sun Oct 18, 2:57 PM CT

Next up projections

vs Iowa State

Week 8 · Sat Oct 24, Time TBA · Arizona Stadium · Iowa State (FBS, Big 12)

Both models favor Arizona (SP+ from the week 7 snapshot). The line, shown for comparison only, has Arizona by 10.0.

Our call posts Monday when this week's ratings are set.

Game page: vs Iowa State ›

Regression watch: Undersold last game: the play ran 9 points ahead of the 21-point win. In a 2022–25 study, teams undersold by more than 7 beat their season form by about 1.7 points the next game. More ›

Schedule: Played the 90th-toughest schedule in FBS so far (average opponent rating -6.9); 34th-toughest remaining (+7.2). More ›

Opponents by our model's rating 6 played · 6 left
  • Week 1 vs Northern Arizona (-32.8) · FCS, pooled
  • Week 2 at BYU (+18.2)
  • Week 3 vs Northern Illinois (-17.0)
  • Week 4 at Washington State (-7.4)
  • Week 5 vs Cincinnati (+0.5)
  • Week 6 at West Virginia (-2.6)
  • Remaining:
  • Week 8 vs Iowa State (+1.9)
  • Week 9 at Texas Tech (+15.9)
  • Week 10 vs TCU (+6.8)
  • Week 11 vs Utah (+14.4)
  • Week 12 at Kansas State (+3.6)
  • Week 13 vs Arizona State (+0.7)

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 7. Experimental, like the Our model card.

RatingArizonaIowa State
SP+ +15.2 #19 +1.0 #66
Elo 1719 1643

Projected margin for Arizona · two models and the line, side by side

SP+
+16.7
Arizona +15.2 vs Iowa State +1.0 · week 7 snapshot, before last week's games
avg miss 11.0
closest 57/100
Elo
+5.5
Arizona 1719 vs Iowa State 1643
avg miss 12.3
closest 44/100
Line · benchmark
+10.0
pregame line
avg miss 11.3
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 Arizona'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.
  • In SP+, Elo the home team gets 2.5 points (Arizona); 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 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 · Arizona 6 games, Iowa State 6 games

Edge: Arizona wins 3 of 5

Arizona moves the ball better, stops plays better and is more disruptive. Iowa State has the edge on big plays and allows fewer big plays.

Arizonalonger bar = betterIowa State

Run game, head to head · season to date

Arizona's runs work 49% of the time; Iowa State's run defense allows 43%. Iowa State's runs work 40% of the time; Arizona's run defense allows 37%.

More numbers
MeasureArizonaIowa StateEdge
Off. success rate50.3%39.3%Arizona
Off. explosiveness1.261.31Iowa State
Def. success rate allowed35.5%41.6%Arizona
Def. explosiveness allowed1.381.27Iowa State
Havoc created16.1%15.4%Arizona
  • Run game, success rate: Arizona offense 49.3% · Iowa State defense allows 42.5% · edge: Arizona
  • Run game, success rate: Iowa State offense 39.7% · Arizona defense allows 36.9% · edge: Arizona
  • Run game, PPA per play: Arizona offense +0.15 · Iowa State defense allows +0.07 · edge: Arizona
  • Run game, PPA per play: Iowa State offense +0.13 · Arizona defense allows +0.01 · 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 ›

Rest of the season experimental

DateOpponentOur win chanceProjected
Fri Oct 23vs Iowa State76%by 10.7 us
Fri Oct 30at #10 Texas Tech27%by 9.4 them
Fri Nov 6vs TCU66%by 6.5 us
Fri Nov 13vs #11 Utah38%by 4.6 them
Fri Nov 20at Kansas State55%by 1.9 us
Fri Nov 27vs Arizona State80%by 13.2 us

Projected record: 8.4 wins on average; most likely 9-3 (27%). Conference title: 4%. Playoff: 4%. Playoff chances ›

From our model's simulation of the rest of the season (10,000 times); the win chance is how often we won that game in the simulations, the projected margin is Our call's (SP+, Elo and Our model averaged, 2.5 points to the home team).

Injuries

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

Coverage (AI-assisted) · 2

Gathered by an AI model from public posts, not from CollegeFootballData. Not used in any number on this page. Verify against the linked sources.

1 entry about games now final not shown.

Score and result

Arizona 52, West Virginia 31W

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

Projected: SP+ n/a · Elo +11.4 ✓ · Our model +6.1 ✓ · the line (benchmark) n/a · actual +21 · Closest: Elo

Away at Milan Puskar Stadium · Sat Oct 10, 11:00 AM CT / 12:00 PM ET · vs West Virginia (FBS, Big 12)

Opponent for every game-level number: West Virginia (FBS, Big 12).

Verdict

The scoreboard undersold Arizona: the +21 margin ran 9 points behind the +30 implied by per-play quality (PPA (expected points added per play) +0.37 vs -0.10, success rate 48% vs 37%) (Arizona turned it over once).

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

Efficiency

Edge: Arizona won 3 of 4

Arizona moved the ball better, got more from each play and hit the bigger plays. West Virginia was more disruptive.

Arizonalonger bar = betterWest Virginia
More numbers

Arizona ran 52 plays, West Virginia 105. Each number is that team's offense; West Virginia's column is also what Arizona's defense allowed.

MeasureArizonaWest VirginiaEdge
PPA / play+0.37-0.10Arizona
Total PPA+19.3-10.9Arizona
Success rate48.1%37.1%Arizona
Explosiveness1.701.32Arizona
Havoc created13.5%21.6%West Virginia
  • 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

Arizona 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
Noah Fifita QB 96% +23.5 +1.02
Sawyer Anderson QB 4% -0.2 -0.21

Rushing

PlayerRush usagePPA/play
Quincy Craig RB 8% +3.9 +1.94
Kedrick Reescano RB 42% +3.6 +0.32
Antwan Roberts RB 27% +1.5 +0.21
Noah Fifita QB 8% -1.4 -0.68

Receiving

PlayerTarget usagePPA/play
Isaiah Mizell WR 29% +17.5 +2.50
Brandon Phelps WR 25% +5.6 +0.94
Shane King TE 8% +3.3 +1.65
Kedrick Reescano RB 4% +0.6 +0.63
By play type
MeasureArizonaWest VirginiaEdge
Rushing PPA+0.08-0.01Arizona
Rushing success46.2%40.5%Arizona
Passing PPA+0.97-0.31Arizona
Passing success50.0%31.0%Arizona
Standard downs PPA+0.12-0.17Arizona
Standard downs success54.5%37.5%Arizona
Passing downs PPA+0.80+0.04Arizona
Passing downs success36.8%36.4%Arizona

Havoc detail — Arizona defense: TFL 8, sacks 1, takeaways 2, breakups 3 on 104 snaps. West Virginia defense: TFL 6, sacks 1, takeaways 1, breakups 3 on 51 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.

◀ ArizonaWest Virginia ▶
  • 14Drives14
  • 11Scoring opportunities8
  • 4.1Points per opportunity3.0
  • own 32Avg. starting field positionown 31

Recruiting

Arizona's 2026 class: #42 · 216.67 points.

MeasureArizonaWest Virginia
Talent composite 699.6
#54 of 138
707.6
#49 of 138
Transfer portal · 22 in, 20 out

Arrivals (22)

PlayerFrom★Elig.Date
Cole Rusk TE Illinois 4 Immediate Jan 6, 2026
Cooper Blomstrom EDGE Georgetown 3 Immediate Jan 6, 2026
Shane King TE Southern Miss 3 Immediate Jan 7, 2026
DJ Jordan WR USC 3 Immediate Jan 8, 2026
Tyrese Boss CB Wyoming 3 Immediate Jan 8, 2026
Everett Roussaw Jr. LB Memphis 3 Immediate Jan 9, 2026
Arthur Ban TE San Diego State 3 Immediate Jan 9, 2026
Zachary Henning IOL Washington 3 Immediate Jan 9, 2026
Malcolm Hartzog S Nebraska 3 Immediate Jan 10, 2026
Cam Chapa S Northern Colorado 3 Immediate Jan 10, 2026

+12 more not shown (22 total).

Departures (20)

PlayerTo★Elig.Date
Michael Wooten IOL South Florida 3 Immediate Jan 5, 2026
Stacy Bey LB Sam Houston 3 Immediate Jan 7, 2026
Siale Uluave IOL undecided 3 Immediate Jan 8, 2026
Eduwa Okundaye EDGE Washington State 3 Immediate Jan 8, 2026
Jshawn Frausto-Ramos S Washington State 3 Immediate Jan 9, 2026
Rex Haynes WR Utah State 3 Immediate Jan 11, 2026
Jarra Anderson DL Sam Houston 3 Immediate Jan 12, 2026
Chancellor Owens DL Texas State 3 Immediate Jan 12, 2026
Jordan Brown OT Georgia State 3 Immediate Jan 13, 2026
Braedyn Locke QB Tarleton State 3 Immediate Jan 13, 2026

+10 more not shown (20 total).

2026 commits · 20
PlayerHometown★Rating
R.J. Mosley WR Pittsburg, CA 4 0.9410
Malachi Joyner IOL Gilbert, AZ 4 0.9191
Justin Morales OT El Paso, TX 4 0.9093
Oscar Rios QB Downey, CA 4 0.9015
Xaier Hiler CB Denton, TX 4 0.8990
Henry Gabalis TE Everett, WA 4 0.8941
Prince Williams EDGE Las Vegas, NV 3 0.8817
Keytrin Harris DL Chandler, AZ 3 0.8756
Caleb Smith WR Allen, TX 3 0.8700
Khalil Sanogo OT Mansfield, TX 3 0.8667
Jaden Parker LB Anna, TX 3 0.8656
Hannibal Navies II S Loganville, GA 3 0.8644
Harvie Moeai EDGE Lehi, UT 3 0.8611
Manoah Faupusa DL Rancho Santa Margarita, CA 3 0.8611
Nathan Allen IOL Carlsbad, CA 3 0.8611

+5 more not shown (20 total).

Returning production

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

Unit% PPAPPAUsage
Overall64.9%202.468.6%
Passing119.9%84.996.1%
Receiving43.8%74.640.1%
Rushing60.3%42.965.0%

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.