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ACC · 2026 · History

California Golden Bears

3-5 (2-3 ACC)Last: L 20-59 at SMUNext: at NC State

Tosh Lupoi · 1st season · .375 at California · .375 career

Rating
-5.992
Adj Off
24.085
Adj Def
29.997
WAP
-3.32112

Style profile

Style

What the offense does with the ball, and what the defense faces.

StatOffenseDefense
Run rate36.8%13751.6%57
Plays per game71.33166.169
Time of possession30:266129:3479
Yards per pass attempt6.71117.483
Yards per rush3.11345.2124
Points per game23.410231.6117
Points per opportunity2.781264.04112
Starting field positionOwn 26124Own 31126

Efficiency and EPA

Down-by-down quality, measured in predicted points.

StatOffenseDefense
EPA per play-0.018126+0.172112
Adj. EPA per play+0.029110+0.170101
Success rate37.9%12339.9%59
Explosiveness1.23721.40131
Rushing EPA per play-0.083131+0.246132
Passing EPA per play+0.086111+0.17578
Std downs success43.4%11845.3%61
Passing downs success27.4%10828.4%64

Situational

Red zone finishing, ball security, discipline, and money downs.

StatOffenseDefense
Red zone TD rate60.0%7368.8%127
Turnovers per game1.00401.1382
Penalties per game9.11348.410
Penalty yards per game84.613682.52
3rd down conversion36.7%9240.7%97
4th down tries per game2.63141.38108
4th down conversion28.6%125100.0%138

Rank out of 138 FBS teams. Green is good for the team, red is bad. Blue only orients neutral traits like tempo and run rate.

Schedule and resultsProjected 4.4-7.6

DateOpponentResult / projectionWAPOff EPADef EPA
Sep 5Wk 121UCLA#9L24-45-0.68-0.06+0.41
Sep 12Wk 2@72SyracuseW21-18+0.18-0.11-0.14
Sep 19Wk 3Wagner(FCS)W49-70.00+0.46-0.15
Sep 25Wk 445ClemsonL10-24-0.82-0.32+0.06
Oct 3Wk 5@88UNLVL31-39-0.88-0.05+0.16
Oct 10Wk 646Virginia TechW25-20+0.17+0.10+0.17
Oct 17Wk 724Wake Forest#17L7-41-0.69-0.20+0.50
Oct 24Wk 8@29SMU#23L20-59-0.590.00+0.48
Oct 31Wk 9@55NC State+11.823%+0.24——
Nov 14Wk 11@58Virginia+11.324%+0.23——
Nov 21Wk 12106Stanford-6.666%+0.03——
Nov 28Wk 1341Pittsburgh+10.026%+0.21——

Unplayed games show the projected spread from this team's view (negative = favored) and its win probability, from the ratings; their WAP is what a win would be worth. How the ratings work.

Key players

Sorted by how much of the offense runs through them. Bold rows are the primary option at each spot; the shade tracks their share.

Offense

Quarterbacks

Share of pass attempts
PlayerShareC/ACmp%YdsY/ATDINT
3Jaron-Keawe SagapoluteleFR64%149/21968.0%15557.1105
11Jackson BrousseauFR35%75/12062.5%7015.830

Running backs

Share of rushes
PlayerShareCarYdsY/CTDRec
24Adam MohammedFR33%733364.6317
20Ashten EmoryFR33%732323.2414
21Carson Perry-SmithFR5%10343.404
25Anthony LeagueFR5%10242.4010

Receivers

Share of pass attempts
PlayerShareRecYdsY/RTD
7Chase HendricksWR FR16%544989.23
9Ian StrongWR FR10%3346714.21
85Mason MiniTE FR6%2122010.52
81Tyree SamsWR FR5%16865.40
22Taimane PurcellTE FR4%1520813.91
4Jordan KingWR FR3%111089.81

Defense

Defensive line

Total tackles
PlayerTklTFLSckHurPD
96Derek WilkinsDL FR241.00.032
44Jericho JohnsonDL FR203.51.500
99Ashun ShepphardDL FR100.00.010
56Legend JourneyDL FR91.50.010
97Michael-Anthony OkwuraDL FR70.00.000
98Nathan BurrellDL FR61.01.020

Linebackers

Total tackles
PlayerTklTFLSckPDINT
9AJ TuiteleLB FR404.53.000
3Kamar MothudiLB FR290.00.000
32Tristan JerniganLB FR270.00.000
33JD McKinleyLB FR213.03.000
0Solomon WilliamsLB FR143.51.000

Defensive backs

Total tackles
PlayerTklPDINTTFL
23Isaiah CrosbyDB FR44112.0
2Kingston LopaDB FR37151.0
7Daniel HarrisDB FR33303.0
14Aiden ManutaiDB FR23011.0
16Michael HurstDB FR16001.5
20Cameron SidneyDB FR14200.0
1Rickey FletcherDB FR11301.5

Special teams

Kickers

By kicks attempted
PlayerFGFG%LongXPPts
33Towns McGoughFR7/978%4113/1334
91Chase MeyerFR2/450%375/511

Punters

By punts
PlayerPuntsAvgLongIn 20TB
29Angus DaviesFR3840.95381