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Washington

Huskies · Big Ten · FBS
3-32026 · 0-3 in conference
SP+
+7.1 (#51)
FPI
+3.5 (#57)
SRS
−2.4 (#76)
Resume
#89

Next game

PUR
at Purdue
Fri, Oct 16 · 8:00 PM EDT
Projected score
WASH29
PUR26
Win chance
52%
WASH 52%PUR 48%
Market: PUR favored by 3.5 · Points model v7, built without betting lines. A model's view, not betting advice.Full projection →

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
5.1projected wins of 12 · 3-3 through week 6
Bowl eligible
34%
Most likely
5-7
Wins out
<1%
Playoff odds<1%· Wins the Big Ten 0%The playoff race →
Final regular-season record, share of 50,000 simulated seasons · solid bar: the middle outcome
Games that decide it

Every game is worth one win, so the ones that shape Washington's record most are the ones closest to a coin flip.

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
Offense
EPAEPA per play: +0.12, 42nd percentile among FBSSuccessSuccess rate: 42.2%, 39th percentile among FBSExplosiveExplosiveness: +1.20, 32nd percentile among FBSRush EPARushing EPA: 0.00, 20th percentile among FBSPass EPAPassing EPA: +0.25, 54th percentile among FBSStd downsStandard downs: 48.9%, 56th percentile among FBSPass downsPassing downs: 25.5%, 17th percentile among FBSLine ydsLine yards: 2.95, 35th percentile among FBSStuffsStuff rate: 18.5%, 39th percentile among FBSHavocHavoc: 13.9%, 62nd percentile among FBS
Defense
EPAEPA per play: +0.03, 69th percentile among FBSSuccessSuccess rate: 40.9%, 49th percentile among FBSExplosiveExplosiveness: +1.17, 72nd percentile among FBSRush EPARushing EPA: −0.05, 79th percentile among FBSPass EPAPassing EPA: +0.18, 46th percentile among FBSStd downsStandard downs: 45.9%, 51st percentile among FBSPass downsPassing downs: 29.4%, 47th percentile among FBSLine ydsLine yards: 2.70, 72nd percentile among FBSStuffsStuff rate: 26.3%, 93rd percentile among FBSHavocHavoc: 17.1%, 67th percentile among FBS

Farther out is better on every spoke. Dashed ring: the FBS median.

  • EPA per play
    Expected points added on an average snap: how much each play moved the scoring odds.
  • Success rate
    Share of snaps that stayed on schedule: half the yards needed on 1st down, 70% on 2nd, all of them on 3rd or 4th.
  • Explosiveness
    Average EPA on the successful snaps: how big the good plays were.
  • Rushing EPA
    EPA per designed run.
  • Passing EPA
    EPA per pass play.
  • Standard downs
    Success rate on downs where either a run or a pass makes sense, like 1st and 10 or 3rd and 2.
  • Passing downs
    Success rate on downs that all but force a pass, like 2nd and 8 or longer, or 3rd and 5 or longer.
  • Line yards
    Rushing yards per carry credited to the offensive line, weighting the first few yards most.
  • Stuff rate
    Share of runs stopped at or behind the line of scrimmage.
  • Havoc
    Share 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
Per drive

Points over expected per drive, from where each drive started.

Offense+0.2383rd of 138
Defense−0.12allowed67th of 138
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense−0.0789th of 138
Defense+0.36allowed83rd of 138
Finishing

Points over expected per trip inside the opponent's 40.

Offense+0.164.1 pts/trip64th of 138
Defense−0.293.8 pts/trip allowed70th of 138
Field position

Average expected points where drives started.

Offense1.0087th of 138
Defense1.01opponents78th of 138

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 Washington 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
Offense: points over expected per drive
Defense: points kept off the board per drive

Bars above the line: better than expected for Washington.

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
The quarterback
Demond Williams Jr.: 0.38 WAR (90% interval 0.09 to 0.70)
40th of 192 FBS QBs in WAR · 78th of 123 in value per play

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.

  1. Demond Williams Jr.QB196 plays · +0.103 pts/play · 40th of 192 QBs0.38WAR0.09 to 0.70
  2. Chris LawsonWR31 plays · +0.169 pts/play · 39th of 364 WRs0.10WAR0.06 to 0.14
  3. Dezmen RoebuckWR47 plays · +0.092 pts/play · 65th of 364 WRs0.08WAR0.02 to 0.14
  4. Brian Bonner Jr.RB43 plays · +0.091 pts/play · 137th of 320 RBs0.07WAR0.05 to 0.10
  5. Rashid WilliamsWR24 plays · +0.108 pts/play · 157th of 364 WRs0.05WAR0.02 to 0.07
  6. Tyler RoblesPK8 plays · +0.320 pts/play · 10th of 82 kickers0.05WAR0.02 to 0.07
  7. Baron NaoneTE16 plays · +0.151 pts/play · 21st of 164 TEs0.05WAR0.03 to 0.07
  8. Elijah BrownQB24 plays · +0.094 pts/play · 170th of 192 QBs0.04WAR0.01 to 0.07
Every player (11)
  1. Hunter GreenP26 plays · +0.056 pts/play · 17th of 84 punters0.03WAR−0.01 to 0.06
  2. Decker DeGraafTE14 plays · +0.078 pts/play · 62nd of 164 TEs0.02WAR0.00 to 0.04
  3. Jayden LimarRB10 plays · +0.088 pts/play · 255th of 320 RBs0.02WAR0.01 to 0.02
By position group, against FBS
Quarterback
0.42WAR
33rd of 138
Running backs
0.09WAR
116th of 138
Receivers
0.23WAR
16th of 138
Tight ends
0.07WAR
13th of 138
Kicker
0.05WAR
11th of 138
Punter
0.03WAR
18th of 138
Line and defense, points per game vs the median FBS unit
Offensive line
−0.57/game
130th of 138
Front seven
−0.20/game
84th of 138
Secondary
−0.39/game
94th of 138

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 Washington'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

14 players transferred in and 22 out. WAR is each one's 2025 season, before the move. Every team's portal

Brought in
0.46WAR
47th most of 138
FBS median 0.19
Lost
0.13WAR
41st least of 138
FBS median 0.33
Net
+0.33WAR
29th of 138
FBS median −0.05

So far in 2026, the arrivals have added 0.13 WAR at Washington and the departures 0.27 wherever they went.

Arrivals (14)20252026
  1. Elijah BrownQB · 3★from Stanford0.150.04
  2. Tyler RoblesKfrom Texas State0.150.05
  3. Christian MossWR · 3★from Kennesaw State0.13-
  4. Hunter GreenP · 2★from San Diego State0.040.03
  5. Jayden LimarRB · 3★from Oregon-0.02
The other 9
  1. Kolt DieterichOT · 4★from Sam Houston--
  2. Bodpegn MillerWR · 3★from Ohio State--
  3. Darin ConleyDL · 3★from Ball State--
  4. DeSean WattsDL · 3★from Sacramento State--
  5. Emmanuel KarnleyCB · 3★from Virginia--
  6. Hunter McKeeK · 3★from Eastern Washington--
  7. Kai McClendonDL · 3★from Mississippi State--
  8. Logan GeorgeEDGE · 3★from Ohio State--
  9. Trey CooleyRB · 3★from Troy--
Departures (22)20252026
  1. Adam MohammedRB · 4★to California0.130.15
  2. Audric HarrisWR · 3★to Hawai'i-0.05
  3. Ethan MoczulskiK · 3★to Illinois-0.05
  4. Raiden Vines-BrightWR · 3★to Arizona State-0.02
The other 18
  1. Kevin Green Jr.WR · 4★to Rhode Island--
  2. Armon ParkerDL · 3★to Maryland--
  3. Bryce ButlerDL · 3★to Texas Tech--
  4. Caleb SmithDL · 3★to Alabama--
  5. Davit BoyajyanIOL · 3★to Cal Poly--
  6. Deven BryantLB · 3★to USC--
  7. Dominic MaconDL · 3★to Oklahoma State--
  8. Dyson McCutcheonS · 3★to Middle Tennessee--
  9. Hunter SolwoldLS · 3★to Florida--
  10. Jayvon ParkerDL · 3★to Maryland--
  11. Jonathan Epperson Jr.LB · 3★to Portland State--
  12. Leroy BryantCB · 3★to Stanford--
  13. Marcus HarrisWR · 3★to UCLA--
  14. Maximus McCreeOT · 3★to Washington State--
  15. Paki FinauIOL · 3★to BYU--
  16. Vincent HolmesS · 3★to Oklahoma State--
  17. Zachary HenningIOL · 3★to Arizona--
  18. Dusty ZimmerPto Southern Miss--

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
    247Sports' talent composite: the recruiting ratings of every player on the roster, transfers included.
    Roster talent: 778, 24th of 138 in FBS
  • Recruiting
    Average 247Sports class score over this season's class and the three before it.
    Recruiting: 231, 21st of 138 in FBS
  • Returning production
    Share of last season's production (expected points added) by players still on the roster.
    Returning production: 54%, 50th of 136 in FBS
  • SP+ rating so far
    The result: Bill Connelly's opponent-adjusted rating, points per game better than an average FBS team.
    SP+ rating so far: +7.1, 51st of 138 in FBS

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
+1.9points per game

Washington's SP+ of +7.1 is 1.9 points above the +5.2 its roster talent predicts, 59th of 138 in FBS.

Offense−2.1
Defense+4.1

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.

−200+205001000Roster talent (247Sports composite)SP+ ratingGeorgia: talent 1004, SP+ +28.3 (+7.7 vs. talent)Texas: talent 985, SP+ +24.4 (+5.2 vs. talent)Oregon: talent 984, SP+ +21.0 (+1.9 vs. talent)Alabama: talent 974, SP+ +23.0 (+4.7 vs. talent)Ohio State: talent 964, SP+ +29.5 (+11.9 vs. talent)Notre Dame: talent 953, SP+ +28.0 (+11.2 vs. talent)Texas A&M: talent 933, SP+ +8.0 (−7.3 vs. talent)LSU: talent 932, SP+ +21.7 (+6.5 vs. talent)USC: talent 899, SP+ +14.4 (+1.5 vs. talent)Florida: talent 891, SP+ +11.0 (−1.4 vs. talent)Michigan: talent 890, SP+ +13.1 (+0.8 vs. talent)Miami: talent 886, SP+ +27.8 (+15.8 vs. talent)Tennessee: talent 886, SP+ +16.7 (+4.7 vs. talent)Ole Miss: talent 886, SP+ +15.9 (+3.9 vs. talent)South Carolina: talent 863, SP+ +9.9 (−0.6 vs. talent)Clemson: talent 863, SP+ +2.2 (−8.3 vs. talent)Oklahoma: talent 851, SP+ +12.2 (+2.5 vs. talent)Auburn: talent 828, SP+ +11.0 (+2.7 vs. talent)Missouri: talent 808, SP+ +18.0 (+10.9 vs. talent)Mississippi State: talent 805, SP+ +12.6 (+5.8 vs. talent)Florida State: talent 800, SP+ +5.8 (−0.8 vs. talent)Nebraska: talent 787, SP+ +16.9 (+11.1 vs. talent)Kentucky: talent 787, SP+ +8.0 (+2.2 vs. talent)UCLA: talent 774, SP+ +15.3 (+10.2 vs. talent)Penn State: talent 774, SP+ +9.6 (+4.6 vs. talent)Virginia Tech: talent 769, SP+ +9.5 (+4.8 vs. talent)North Carolina: talent 768, SP+ +4.9 (+0.2 vs. talent)Texas Tech: talent 768, SP+ +21.6 (+16.9 vs. talent)Wisconsin: talent 768, SP+ +10.5 (+5.8 vs. talent)SMU: talent 765, SP+ +12.8 (+8.3 vs. talent)NC State: talent 757, SP+ −1.3 (−5.4 vs. talent)California: talent 752, SP+ −2.5 (−6.3 vs. talent)Georgia Tech: talent 752, SP+ +1.3 (−2.5 vs. talent)Syracuse: talent 746, SP+ −0.4 (−3.8 vs. talent)Arkansas: talent 745, SP+ −2.4 (−5.8 vs. talent)Louisville: talent 740, SP+ +13.0 (+9.9 vs. talent)Indiana: talent 735, SP+ +26.7 (+23.8 vs. talent)Colorado: talent 732, SP+ −2.4 (−5.1 vs. talent)TCU: talent 731, SP+ +9.2 (+6.6 vs. talent)Minnesota: talent 729, SP+ +2.9 (+0.4 vs. talent)Vanderbilt: talent 727, SP+ +1.2 (−1.3 vs. talent)Baylor: talent 723, SP+ +12.7 (+10.5 vs. talent)Iowa: talent 723, SP+ +13.0 (+10.8 vs. talent)Arizona State: talent 722, SP+ +3.6 (+1.4 vs. talent)Maryland: talent 720, SP+ −2.0 (−4.0 vs. talent)Kansas State: talent 719, SP+ +11.0 (+9.0 vs. talent)Rutgers: talent 709, SP+ −5.3 (−6.8 vs. talent)West Virginia: talent 708, SP+ −0.6 (−2.0 vs. talent)Stanford: talent 706, SP+ −14.9 (−16.2 vs. talent)Illinois: talent 704, SP+ +5.8 (+4.6 vs. talent)South Florida: talent 704, SP+ +0.6 (−0.6 vs. talent)Virginia: talent 700, SP+ +8.5 (+7.5 vs. talent)Arizona: talent 700, SP+ +15.2 (+14.2 vs. talent)Purdue: talent 698, SP+ +1.6 (+0.7 vs. talent)UNLV: talent 696, SP+ −0.9 (−1.7 vs. talent)Houston: talent 696, SP+ +15.2 (+14.4 vs. talent)Utah: talent 696, SP+ +23.5 (+22.7 vs. talent)BYU: talent 689, SP+ +21.5 (+21.0 vs. talent)Northwestern: talent 688, SP+ +15.6 (+15.2 vs. talent)Michigan State: talent 685, SP+ −1.2 (−1.5 vs. talent)Kansas: talent 685, SP+ +7.2 (+6.9 vs. talent)Wake Forest: talent 681, SP+ +10.5 (+10.4 vs. talent)Pittsburgh: talent 675, SP+ +10.5 (+10.7 vs. talent)Oklahoma State: talent 673, SP+ +13.3 (+13.6 vs. talent)UCF: talent 672, SP+ +4.1 (+4.4 vs. talent)Memphis: talent 670, SP+ +7.6 (+8.0 vs. talent)Iowa State: talent 670, SP+ +1.0 (+1.5 vs. talent)Duke: talent 668, SP+ +8.2 (+8.7 vs. talent)Tulane: talent 665, SP+ −7.6 (−6.9 vs. talent)Boston College: talent 660, SP+ −4.9 (−4.0 vs. talent)UTSA: talent 656, SP+ +0.8 (+1.9 vs. talent)UConn: talent 653, SP+ −1.3 (0.0 vs. talent)Boise State: talent 641, SP+ +9.1 (+10.9 vs. talent)Colorado State: talent 640, SP+ −7.8 (−6.0 vs. talent)Oregon State: talent 636, SP+ +7.1 (+9.1 vs. talent)Cincinnati: talent 634, SP+ +5.3 (+7.4 vs. talent)Georgia Southern: talent 634, SP+ −4.6 (−2.5 vs. talent)Liberty: talent 633, SP+ +7.3 (+9.4 vs. talent)Temple: talent 631, SP+ −6.5 (−4.3 vs. talent)Washington State: talent 630, SP+ −11.1 (−8.8 vs. talent)Texas State: talent 625, SP+ −0.2 (+2.3 vs. talent)East Carolina: talent 624, SP+ −1.3 (+1.3 vs. talent)Tulsa: talent 623, SP+ −5.1 (−2.5 vs. talent)App State: talent 622, SP+ −6.0 (−3.3 vs. talent)Miami (OH): talent 621, SP+ −6.4 (−3.7 vs. talent)Western Kentucky: talent 612, SP+ −13.0 (−9.9 vs. talent)Fresno State: talent 610, SP+ +3.7 (+6.9 vs. talent)San Diego State: talent 609, SP+ −10.2 (−7.0 vs. talent)Florida International: talent 608, SP+ −5.4 (−2.1 vs. talent)Arkansas State: talent 606, SP+ −8.0 (−4.7 vs. talent)UAB: talent 606, SP+ −12.8 (−9.5 vs. talent)Jacksonville State: talent 603, SP+ −2.4 (+1.0 vs. talent)Southern Miss: talent 603, SP+ −18.3 (−14.8 vs. talent)North Texas: talent 602, SP+ −1.0 (+2.5 vs. talent)Troy: talent 596, SP+ −6.6 (−2.9 vs. talent)Marshall: talent 595, SP+ −13.2 (−9.4 vs. talent)Florida Atlantic: talent 593, SP+ +0.1 (+3.9 vs. talent)Louisiana: talent 591, SP+ −2.3 (+1.6 vs. talent)Rice: talent 590, SP+ −13.4 (−9.4 vs. talent)James Madison: talent 588, SP+ +9.4 (+13.4 vs. talent)UTEP: talent 586, SP+ −24.6 (−20.5 vs. talent)Eastern Michigan: talent 581, SP+ −11.2 (−6.9 vs. talent)Charlotte: talent 577, SP+ −28.6 (−24.1 vs. talent)Coastal Carolina: talent 574, SP+ −11.0 (−6.4 vs. talent)Georgia State: talent 574, SP+ −4.8 (−0.2 vs. talent)South Alabama: talent 573, SP+ −11.1 (−6.5 vs. talent)Western Michigan: talent 572, SP+ −3.2 (+1.5 vs. talent)Middle Tennessee: talent 572, SP+ −19.5 (−14.8 vs. talent)San José State: talent 569, SP+ −12.2 (−7.4 vs. talent)Bowling Green: talent 568, SP+ −17.9 (−13.1 vs. talent)New Mexico: talent 568, SP+ +12.3 (+17.1 vs. talent)Ball State: talent 564, SP+ −25.2 (−20.2 vs. talent)Sacramento State: talent 561, SP+ −24.7 (−19.6 vs. talent)Hawai'i: talent 557, SP+ −12.9 (−7.6 vs. talent)Toledo: talent 556, SP+ −2.1 (+3.2 vs. talent)Sam Houston: talent 554, SP+ −16.5 (−11.1 vs. talent)Nevada: talent 550, SP+ −4.3 (+1.2 vs. talent)Missouri State: talent 550, SP+ −19.5 (−14.0 vs. talent)Buffalo: talent 549, SP+ −13.9 (−8.4 vs. talent)Akron: talent 547, SP+ −22.4 (−16.8 vs. talent)Old Dominion: talent 544, SP+ −9.9 (−4.2 vs. talent)Utah State: talent 544, SP+ −9.0 (−3.3 vs. talent)Louisiana Tech: talent 543, SP+ −5.9 (−0.1 vs. talent)Central Michigan: talent 540, SP+ −16.7 (−10.8 vs. talent)Northern Illinois: talent 537, SP+ −23.5 (−17.5 vs. talent)Wyoming: talent 528, SP+ −13.8 (−7.5 vs. talent)Massachusetts: talent 526, SP+ −9.5 (−3.1 vs. talent)Ohio: talent 523, SP+ −6.7 (−0.2 vs. talent)Kent State: talent 523, SP+ −22.6 (−16.1 vs. talent)North Dakota State: talent 516, SP+ +8.6 (+15.3 vs. talent)UL Monroe: talent 505, SP+ −28.4 (−21.3 vs. talent)Kennesaw State: talent 503, SP+ −9.8 (−2.6 vs. talent)Delaware: talent 483, SP+ −13.1 (−5.3 vs. talent)New Mexico State: talent 460, SP+ −13.7 (−5.3 vs. talent)Army: talent 304, SP+ −0.9 (+10.9 vs. talent)Air Force: talent 272, SP+ +1.4 (+13.6 vs. talent)Navy: talent 196, SP+ −0.2 (+12.6 vs. talent)Washington: talent 778, SP+ +7.1, expected +5.2Washington
One dot per FBS team, 2026. The line is the SP+ a roster's talent predicts; the dashed gap is Washington's conversion.
Conversion by season

Bars above the line: SP+ above what the roster's talent predicted. The lighter bar is the season in progress.

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
Made the numbers' call

Calls that matched the option with the best modeled win probability.

35 of 4873%91st of 138
FBS median 77%
Win probability given up

Summed over every call that differed, in points of win probability.

1.5 ptsper game118th of 138
0.09 expected wins over 6 games, FBS median 0.8 pts
When going was clearly right

Went for it when going beat every other option by a point or more.

5 of 863%
FBS teams went 73%

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 Washington's own. A call that differs gives up the gap to the best option; gaps under one point are close calls, and the 4 clear-cut ones account for 0.07 of the 0.09 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
  1. at USCQ3 2:35 4th & 2 at USC 48, down 1Punted; the numbers favored going for it−2.2 pts
  2. vs USUQ4 6:28 4th & 2 at USU 25, up 6Kicked a field goal; the numbers favored going for it−1.6 pts
  3. vs USUQ3 1:35 4th & 2 at USU 49, up 3Punted; the numbers favored going for it−1.6 pts
  4. vs MINNQ4 11:03 4th & 5 at MINN 15, down 14Went for it; the numbers favored a field goal−1.2 pts
  5. vs IOWAQ2 1:56 4th & 4 at IOWA 12, down 27Kicked a field goal; the numbers favored going for it (close call)−0.6 pts
  6. vs USUQ2 0:04 4th & 3 at USU 30, up 3Kicked a field goal; the numbers favored going for it (close call)−0.6 pts
  7. at USCQ4 0:39 4th & 10 at USC 18, down 4Went for it; the numbers favored a field goal (close call)−0.4 pts
  8. vs IOWAQ2 13:34 4th & 2 at WASH 28, down 13Punted; the numbers favored going for it (close call)−0.4 pts
Every call this season (48)
Wk 1 · vs WSU · W 24-104 of 5 agreed
  1. Q2 13:354th & 2 at WASH 47, up 3 · PuntedClose call
  2. Q2 7:584th & 11 at WSU 11, up 10 · Kicked a field goalAgreed
  3. Q2 0:034th & 1 at WSU 1, up 10 · Went for itAgreed
  4. Q3 13:584th & 6 at WASH 24, up 10 · PuntedAgreed
  5. Q3 0:314th & 1 at WSU 38, up 10 · Went for itAgreed
Wk 2 · vs USU · W 16-147 of 10 agreed
  1. Q1 9:084th & 17 at WASH 10, tied · PuntedAgreed
  2. Q1 3:054th & 2 at USU 33, tied · Went for itAgreed
  3. Q2 1:104th & 4 at WASH 35, up 3 · PuntedAgreed
  4. Q2 0:044th & 3 at USU 30, up 3 · Kicked a field goalClose call
  5. Q3 13:184th & 8 at WASH 27, up 3 · PuntedAgreed
  6. Q3 7:564th & 13 at WASH 33, up 3 · PuntedAgreed
  7. Q3 1:354th & 2 at USU 49, up 3 · Punted−1.6 pts
  8. Q4 12:544th & 8 at USU 8, up 3 · Kicked a field goalAgreed
  9. Q4 6:284th & 2 at USU 25, up 6 · Kicked a field goal−1.6 pts
  10. Q4 0:474th & 13 at USU 46, up 2 · PuntedAgreed
Wk 3 · vs EWU · W 48-164 of 4 agreed
  1. Q2 0:084th & 3 at EWU 7, up 18 · Kicked a field goalAgreed
  2. Q4 10:234th & 13 at WASH 26, up 22 · PuntedAgreed
  3. Q4 5:574th & 6 at EWU 14, up 22 · Kicked a field goalAgreed
  4. Q4 1:104th & 2 at EWU 2, up 25 · Went for itAgreed
Wk 4 · vs MINN · L 24-277 of 9 agreed
  1. Q1 10:544th & 5 at WASH 45, tied · PuntedAgreed
  2. Q1 5:394th & 9 at WASH 26, down 7 · PuntedAgreed
  3. Q2 1:564th & 6 at MINN 15, down 14 · Kicked a field goalAgreed
  4. Q3 13:334th & 17 at WASH 18, down 11 · PuntedAgreed
  5. Q3 9:584th & 5 at WASH 10, down 11 · PuntedClose call
  6. Q3 4:514th & 10 at WASH 18, down 11 · PuntedAgreed
  7. Q4 11:034th & 5 at MINN 15, down 14 · Went for it−1.2 pts
  8. Q4 4:504th & 17 at WASH 32, down 10 · PuntedAgreed
  9. Q4 2:464th & 1 at MINN 45, down 10 · Went for itAgreed
Wk 5 · at USC · L 21-258 of 10 agreed
  1. Q1 13:394th & 3 at WASH 32, tied · PuntedAgreed
  2. Q1 7:184th & 3 at WASH 32, down 3 · PuntedAgreed
  3. Q1 3:554th & 7 at USC 38, down 3 · Went for itAgreed
  4. Q2 12:354th & 11 at WASH 18, up 4 · PuntedAgreed
  5. Q2 9:244th & 10 at WASH 25, down 3 · PuntedAgreed
  6. Q3 2:354th & 2 at USC 48, down 1 · Punted−2.2 pts
  7. Q4 7:404th & 18 at WASH 17, down 4 · PuntedAgreed
  8. Q4 2:024th & 2 at WASH 27, down 4 · Went for itAgreed
  9. Q4 1:174th & 3 at USC 23, down 4 · Went for itAgreed
  10. Q4 0:394th & 10 at USC 18, down 4 · Went for itClose call
Wk 6 · vs IOWA · L 24-415 of 10 agreed
  1. Q1 10:254th & 14 at WASH 15, down 3 · PuntedAgreed
  2. Q1 5:394th & 3 at WASH 28, down 6 · PuntedClose call
  3. Q1 0:244th & 10 at WASH 27, down 6 · PuntedAgreed
  4. Q2 13:344th & 2 at WASH 28, down 13 · PuntedClose call
  5. Q2 7:074th & 19 at WASH 16, down 20 · PuntedAgreed
  6. Q2 3:074th & 10 at IOWA 36, down 27 · Went for itClose call
  7. Q2 1:564th & 4 at IOWA 12, down 27 · Kicked a field goalClose call
  8. Q4 11:094th & 19 at WASH 16, down 23 · PuntedAgreed
  9. Q4 4:494th & 4 at WASH 17, down 23 · PuntedClose call
  10. Q4 1:054th & 2 at WASH 49, down 23 · Went for itAgreed
After touchdowns: kick or go for two?
Made the numbers' call

Tries that matched the option with the better modeled win probability.

13 of 1776%
FBS median 92%
Win probability given up

Summed over every try that differed, in points of win probability.

2.1 ptsthis season
FBS median 0.1 pts
When two was clearly right

Went for two when it beat kicking by a point or more.

0 of 10%
Went for two 1 time, converted 1
Costliest tries against the numbers
  1. vs MINNQ4 1:53 Touchdown, down 4 before the tryKicked; the numbers favored going for two−1.5 pts
  2. vs WSUQ4 2:18 Touchdown, up 13 before the tryKicked; the numbers favored going for two (close call)−0.4 pts
  3. vs IOWAQ3 1:25 Touchdown, down 18 before the tryWent for two; the numbers favored kicking (close call)−0.1 pts

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
3-3vs. 4.6 expected−1.6 wins

135th of 138 FBS teams at beating the model's pregame expectations

Expected wins adds up Washington's chance of winning each game as the model saw it at kickoff - a 70% favorite counts 0.7.

  1. W
    WSU
  2. W
    USU
  3. W
    EWU
  4. L
    MINN
  5. L
    USC
  6. L
    IOWA
What moved it, 2026
+1.6 wins
before kickoff: being favored, vs. coin flips
−1.5 wins
on the field, after the opening snap

Every game starts at Washington'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−1.08
  • Clock−0.05
  • Timeouts+0.02
  • Less the pregame edge, counted before kickoff−0.41
Game by game

Points of win probability, from Washington's side.

Closest call

WASH 37-34 ORE (2022) - Washington dropped to a 6.2% win probability before pulling it out.

Season arc, 2026

Every completed game this season, in order - each tile is Washington's own win-probability curve.

Biggest swings of 2026

The largest single-play change in Washington's win probability this season - one snap that moved the outcome the most.

Stolen wins

Washington'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

Washington'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

Washington's leaguewide Elo rating, tracked like a stock price - built from game results and margins, not the model's own win-probability predictions.

View full history ›
$107.10-4.9% over the past year
Series & rivalries

Washington's most-played opponents across the whole archive - open one for the full head-to-head history.

YardLine · model v10Model estimate - not betting advice · Data provided by CollegeFootballData.com