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California

In progress. College basketball is still being built and is not in the navigation. The ratings are ours and are shown with the date they were fitted; they are not graded in public.

Pac-12 · 3-29 · AdjEM -10.2, 293 of 363 nationally.

2022-23 seasonthrough ratings as of 2023-04-0323 weekly snapshots

Adjusted ratingas of 2023-04-03

Every team →
AdjEM
-10.2293 of 363
AdjO
93.6330 of 363
AdjD
103.8217 of 363
AdjT
66.4328 of 363

California went from -0.8 (#188) on 2022-11-06 to -10.2 (#293) on 2023-04-03, peaking at -0.8 (#188) on 2022-11-06.

AdjEM in each weekly snapshot this season; the dashed line is an average D1 team (0).

2022-11-062023-04-03

Four factorsraw season rates · 32 complete games

Leaderboards →
eFG%
43.7%361
TOV%
18.0%260
OREB%
21.9%315
FTA/FGA
31.5%170
Opp eFG%
51.6%245
Opp TOV%
15.0%305
DREB%
71.0%286
Opp FTA/FGA
32.6%220

Résumé3-29 · against the ratings of 2023-04-03

Schedule strength
+8.453 of 363
Non-conference
+3.596 of 363
Luck
-8.1%330 of 363
Wins above bubble
-17.5341 of 363
Quad 1
0-9
Quad 2
1-10
Quad 3
1-5
Quad 4
1-5

Quadrants use the selection committee's boundaries (Quad 1 is a home game against the top 30, a neutral one against the top 50, or a road game against the top 75) applied to our ranking, not to the NCAA's NET, so they will not match a NET team sheet game for game. Luck and wins above bubble compare the record with today's ratings; they are not a record of our projections.

Players14 who played · most minutes first

National leaders →
PlayerGMPGPPGRPGAPGeFG%TS%USG%3P%FT%
Joel BrownG3232.56.93.33.243.5%45.4%16.5%24.4%54.2%
Grant NewellF3126.88.03.90.743.3%45.6%20.4%26.9%63.6%
Kuany KuanyF3225.39.03.90.842.0%50.4%22.9%29.8%82.3%
Lars ThiemannC3125.09.55.40.648.5%53.5%23.7%0.0%74.0%
Sam AlajikiF2923.96.13.60.749.4%50.2%16.1%35.9%55.9%
Monty BowserG3217.23.81.30.440.8%46.3%15.5%27.3%92.6%
Devin AskewG1331.815.53.43.043.3%49.1%32.3%29.9%86.5%
ND OkaforC3013.33.72.50.343.4%45.8%20.2%—59.4%
Marsalis RobersonG3112.71.81.80.730.5%33.5%16.1%17.9%64.3%
DeJuan ClaytonG931.79.21.92.938.1%40.4%22.8%37.7%75.0%
Obinna AnyanwuF276.51.60.90.165.0%73.4%13.3%—85.7%
Wrenn RobinsonG164.41.30.50.352.8%52.8%16.5%33.3%50.0%
Dimitrios KlonarasF128.015.06.03.050.0%63.3%29.3%33.3%100.0%
Jack McCloskeyG81.00.00.00.10.0%0.0%13.8%0.0%—

Season totals for every game played, from ESPN's statistics feed. In seasons before 2025-26 a roster can be missing a player or hold one who was elsewhere; usage is blank where the players listed do not add up to the team's minutes.

Games3-29

“Ours” is our projected margin for California, from the snapshot dated before each game. Games before the season's first snapshot have none.

DateOpponentQuadResultOurs
11-07vsUC DavisQ4#173L 65-75+3.5
11-11vsKansas StateQ1#26L 54-63-6.0
11-15@UC San DiegoQ4#279L 62-64-0.1
11-18vsSouthernQ4#269L 66-74-1.8
11-21vsTexas StateQ4#188L 55-59-2.4
11-25nTCUQ1#22L 48-59-8.2
11-26nClemsonQ2#58L 59-67-9.9
11-30vsUSCQ2#52L 51-66-3.7
12-04@ArizonaQ1#11L 68-81-27.4
12-07vsEastern WashingtonQ3#134L 48-50+2.4
12-10vsButlerQ3#119L 58-82-7.2
12-18@Santa ClaraQ2#90L 62-71-14.4
12-21vsUT ArlingtonQ4#250W 73-51+2.3
12-29vsUtahQ3#81L 43-58-8.5
12-31vsColoradoQ2#75W 80-76-8.5
01-06vsStanfordQ3#86W 92-70-5.8
01-11@Washington StateQ1#66L 51-66-15.5
01-14@WashingtonQ2#125L 78-81-8.6
01-18vsOregonQ2#45L 58-87-6.3
01-22vsOregon StateQ4#237L 48-68+5.1
01-28@StanfordQ2#86L 46-75-13.0
02-02@ColoradoQ1#75L 46-59-16.3
02-05@UtahQ2#81L 46-61-17.8
02-09vsArizonaQ1#11L 62-85-17.4
02-11vsArizona StateQ2#71L 62-70-8.7
02-16@USCQ1#52L 60-97-17.4
02-18@UCLAQ1#5L 43-78-26.5
02-23vsWashingtonQ3#125L 56-65-5.9
02-25vsWashington StateQ2#66L 57-63-10.6
03-02@OregonQ1#45L 51-84-18.9
03-04@Oregon StateQ3#237L 66-69-6.8
03-08nWashington StateQ2#66L 52-69-14.7

How this is measured

Ranks are out of 363 rated teams, 1 = best (for AdjD and the defensive factors, 1 = allowed the least). The four factors are raw season rates from box scores.

Every projection uses a rating snapshot dated before the game — the snapshot column shows which. A snapshot dated on or after a game already contains its result, so it is never used to project it; a game before the season's first snapshot gets no number at all. Projected margin is (this team's AdjEM − the opponent's ± home advantage) × expected possessions ÷ 100.