The SportsWire

Washington

2026 · week 6 result vs Iowa

Updated Tue Oct 13, 7:56 PM CT

Next up projections

at Purdue

Week 7 · Fri Oct 16, 7:00 PM CT / 8:00 PM ET · Ross-Ade Stadium (West Lafayette) · Purdue (FBS, Big Ten)

Our call: Washington by 3.8Lean

SP+ and Elo favor Washington; Our model favors Purdue. The line, shown for comparison only, has Purdue by 3.0.

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: at Purdue ›

Regression watch: Last game's 17-point loss matched the play (score -3 against play), inside the 7-point band: no flag. More ›

Schedule: Played the 51st-toughest schedule in FBS so far (average opponent rating -3.5); 19th-toughest remaining (+9.7). More ›

Opponents by our model's rating 6 played · 6 left
  • Week 1 vs Washington State (-7.4)
  • Week 2 vs Utah State (-7.9)
  • Week 3 vs Eastern Washington (-32.8) · FCS, pooled
  • Week 4 vs Minnesota (+0.9)
  • Week 5 at USC (+14.8)
  • Week 6 vs Iowa (+11.4)
  • Remaining:
  • Week 7 at Purdue (+2.0)
  • Week 9 at Nebraska (+10.2)
  • Week 10 vs Penn State (+7.1)
  • Week 11 at Michigan State (-0.6)
  • Week 12 vs Indiana (+19.1)
  • Week 13 at Oregon (+20.4)

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: Washington leads 8–2–1 · last: Washington 49–13, 2025

Series history 11 meetings since 1961
  • All-time: Washington leads 8–2–1 (11 meetings since 1961)
  • Last meeting: Washington 49–13, 2025, Husky Stadium
  • Streak: none
  • At Ross-Ade Stadium: first meeting at Ross-Ade Stadium
  • Biggest margins: Washington 49–13 (2025) · Purdue 34–24 (2002)
  • Since 2000: Washington leads 2–1 (3 meetings)
SeasonResultSite
2025Washington 49–13Husky Stadium
2002Purdue 34–24neutral site
2000Washington 34–24neutral site
RatingWashingtonPurdue
SP+ +7.1 #51 +1.6 #62
Elo 1702 1425

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

SP+
+3.0
Washington +7.1 vs Purdue +1.6
avg miss 10.6
closest 47/79
Elo
+8.6
Washington 1702 vs Purdue 1425
avg miss 12.3
closest 33/79
Line · benchmark
-3.0
pregame line
avg miss 11.1
Our model · experimental
-0.3
Washington +4.2 vs Purdue +2.0
prior 50%
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 Washington'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 (Purdue); 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 · Washington 6 games, Purdue 6 games

Edge: Washington wins 3 of 5

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

Washingtonlonger bar = betterPurdue

Run game, head to head · season to date

Washington's runs work 39% of the time; Purdue's run defense allows 50%. Purdue's runs work 44% of the time; Washington's run defense allows 40%.

More numbers
MeasureWashingtonPurdueEdge
Off. success rate42.2%47.4%Purdue
Off. explosiveness1.201.25Purdue
Def. success rate allowed40.9%46.4%Washington
Def. explosiveness allowed1.171.37Washington
Havoc created17.1%13.8%Washington
  • Run game, success rate: Washington offense 39.0% · Purdue defense allows 50.0% · edge: Washington
  • Run game, success rate: Purdue offense 44.1% · Washington defense allows 40.0% · edge: even
  • Run game, PPA per play: Washington offense -0.00 · Purdue defense allows +0.24 · edge: Washington
  • Run game, PPA per play: Purdue offense +0.13 · Washington defense allows -0.05 · edge: Washington
  • 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) · 12

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, 7:25 AM CT.

6 entries about games now final not shown.

Score and result

Washington 24, Iowa 41L

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

Projected: SP+ n/a · Elo -1.0 ✓ · Our model -0.7 ✓ · the line (benchmark) +1.5 · actual -17 · Closest: Elo

Washington was as high as 55% and lost Washington was as high as 55% and lost Q1 Q2 Q3 Q4 100% 50% 0% 24–41
  1. Q1 0:23 · 1st & 10 · 41% → 18%
    (00:23) Shotgun #28 K.Moulton rush middle for 56 yards gain to the WASH00 TOUCHDOWN, clock 00:10, 1ST DOWN #92 C.Buhr kick attempt good (H: #35 T.Philpott, LS: #69 I.Speltz)
  2. Q2 9:11 · 3rd & 1 · 21% → 8%
    (09:11) #10 J.Hecklinski pass complete short left to #81 D.Vonnahme caught at WASH19, for 20 yards to the WASH00 TOUCHDOWN, clock 09:05, 1ST DOWN #92 C.Buhr kick attempt good (H: #35 T.Philpott, LS: #69 I.Speltz)
  3. Q1 12:33 · 4th & 12 · 52% → 44%
    (12:33) #92 C.Buhr field goal attempt from 51 yards GOOD (H: #35 T.Philpott, LS: #69 I.Speltz), clock 12:30

Home at Husky Stadium · Fri Oct 9, 8:00 PM CT / 9:00 PM ET · vs Iowa (FBS, Big Ten)

Opponent for every game-level number: Iowa (FBS, Big Ten).

Verdict

The 17-point loss matched the play: Iowa's per-play edge (PPA (expected points added per play) +0.16 vs +0.45, success rate 35% vs 60%) implies roughly a -14 margin.

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

Efficiency

Edge: Iowa won 3 of 4

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

Washingtonlonger bar = betterIowa
More numbers

Washington ran 78 plays, Iowa 58. Each number is that team's offense; Iowa's column is also what Washington's defense allowed.

MeasureWashingtonIowaEdge
PPA / play+0.16+0.45Iowa
Total PPA+12.4+26.0Iowa
Success rate34.6%60.3%Iowa
Explosiveness1.371.14Washington
Havoc created7.0%14.5%Iowa
  • 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

Washington 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
Elijah Brown QB 62% +11.6 +0.46
Demond Williams Jr. QB 38% +1.7 +0.11

Rushing

PlayerRush usagePPA/play
Trevion Cooley RB 6% -0.4 -0.36
Demond Williams Jr. QB 41% -0.6 -0.09
Brian Bonner Jr. RB 53% -3.7 -0.41

Receiving

PlayerTarget usagePPA/play
Chris Lawson WR 20% +11.4 +1.43
Jordan Clay WR 5% +2.7 +1.36
Dezmen Roebuck WR 25% +2.5 +0.25
Mason James WR 2% +1.5 +1.46
By play type
MeasureWashingtonIowaEdge
Rushing PPA-0.35+0.32Iowa
Rushing success15.8%57.9%Iowa
Passing PPA+0.36+0.66Iowa
Passing success42.1%63.2%Iowa
Standard downs PPA+0.06+0.55Iowa
Standard downs success37.0%66.7%Iowa
Passing downs PPA+0.31-0.03Washington
Passing downs success31.2%30.0%Washington

Havoc detail — Washington defense: TFL 2, sacks 0, takeaways 0, breakups 2 on 57 snaps. Iowa defense: TFL 2, sacks 6, takeaways 0, breakups 3 on 76 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.

◀ WashingtonIowa ▶
  • 12Drives11
  • 10Scoring opportunities10
  • 2.4Points per opportunity3.4
  • own 20Avg. starting field positionown 33
By half

Shown because the game changed between halves: the per-play edge swung by 0.41 points a play (Washington -0.47 in the first half, -0.05 in the second). Overtime counts with the second half.

WashingtonIowa
1st2nd1st2nd
PPA / play-0.05+0.40+0.42+0.45
Success rate30%41%55%67%
Plays37393324

Recruiting

MeasureWashingtonIowa
2026 class rank1326
2026 class points262.32228.57
Talent composite 777.6
#24 of 138
722.7
#44 of 138
Transfer portal · 14 in, 23 out

Arrivals (14)

PlayerFrom★Elig.Date
Kolt Dieterich OT Sam Houston 4 Immediate Jan 5, 2026
DeSean Watts DL Sacramento State 3 Immediate Jan 6, 2026
Darin Conley DL Ball State 3 Immediate Jan 7, 2026
Emmanuel Karnley CB Virginia 3 Immediate Jan 8, 2026
Kai McClendon DL Mississippi State 3 Immediate Jan 9, 2026
Logan George EDGE Ohio State 3 Immediate Jan 12, 2026
Jayden Limar RB Oregon 3 Immediate Jan 13, 2026
Hunter McKee K Eastern Washington 3 Immediate Jan 13, 2026
Elijah Brown QB Stanford 3 Immediate Jan 14, 2026
Christian Moss WR Kennesaw State 3 Immediate Jan 18, 2026

+4 more not shown (14 total).

Departures (23)

PlayerTo★Elig.Date
Adam Mohammed RB California 4 Immediate Jan 6, 2026
Demond Williams Jr. QB undecided 4 Immediate Jan 7, 2026
Kevin Green Jr. WR undecided 4 Immediate Jan 14, 2026
Raiden Vines-Bright WR Arizona State 3 Immediate Jan 4, 2026
Deven Bryant LB USC 3 Immediate Jan 4, 2026
Bryce Butler DL Texas Tech 3 Immediate Jan 5, 2026
Zachary Henning IOL Arizona 3 Immediate Jan 9, 2026
Audric Harris WR Hawai'i 3 Immediate Jan 9, 2026
Leroy Bryant CB Stanford 3 Immediate Jan 10, 2026
Vincent Holmes S Oklahoma State 3 Immediate Jan 10, 2026

+13 more not shown (23 total).

2026 commits · 27
PlayerHometown★Rating
Kodi Greene OT Santa Ana, CA 5 0.9876
Brian Bonner Jr. RB Valencia, CA 4 0.9598
Rahsjon Duncan CB Oakland, CA 4 0.9494
Gavin Day S Las Vegas, NV 4 0.9384
Derek Colman-Brusa EDGE Burien, WA 4 0.9355
JD Hill DL Mission Viejo, CA 4 0.9353
Jordan Clay WR San Antonio, TX 4 0.9247
Trez Davis WR West Monroe, LA 4 0.9223
Mason James WR Norman, OK 4 0.9081
Ramzak Fruean LB Spanaway, WA 4 0.9073
Jeron Jones CB Mission Viejo, CA 4 0.8933
Derek Zammit QB Wayne, NJ 3 0.8885
Tufanua Ionatana Umu-Cais DL Englewood, CO 3 0.8856
David Schwerzel DL Seattle, WA 3 0.8811
Sam Vyhlidal ATH Lake Oswego, OR 3 0.8789

+12 more not shown (27 total).

Returning production

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

Unit% PPAPPAUsage
Overall54.4%228.157.1%
Passing94.2%102.194.3%
Receiving34.2%68.638.0%
Rushing51.9%57.435.5%

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.