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.

ACC · 14-19 · AdjEM +5.2, 114 of 364 nationally.

2024-25 seasonthrough ratings as of 2025-04-0724 weekly snapshots

Adjusted ratingas of 2025-04-07

Every team →

AdjEM: +5.2114 of 364
AdjO: 108.4110 of 364
AdjD: 103.2132 of 364
AdjT: 72.152 of 364

California went from +5.4 (#116) on 2024-11-03 to +5.2 (#114) on 2025-04-07, peaking at +7.0 (#104) on 2024-11-18.

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

2024-11-032025-04-07

Four factorsraw season rates · 33 complete games

Leaderboards →

eFG%: 47.8%307
TOV%: 15.5%150
OREB%: 32.2%62
FTA/FGA: 38.9%33
Opp eFG%: 53.0%279
Opp TOV%: 15.7%204
DREB%: 73.3%130
Opp FTA/FGA: 32.8%171

Résumé14-19 · against the ratings of 2025-04-07

Schedule strength: +8.275 of 364
Non-conference: +0.8167 of 364
Luck: -2.6%236 of 364
Wins above bubble: -8.6150 of 364

Quad 1: 1-8
Quad 2: 1-7
Quad 3: 5-4
Quad 4: 7-0

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.

Players16 who played · most minutes first

National leaders →

Player	G	MPG	PPG	RPG	APG	eFG%	TS%	USG%	3P%	FT%
Andrej StojakovicG	29	33.4	17.9	4.7	1.8	47.8%	54.0%	28.0%	31.8%	81.8%
Rytis PetraitisF	33	28.0	8.2	5.7	1.7	46.3%	52.5%	15.9%	25.8%	71.9%
Jeremiah WilkinsonG	32	27.4	15.1	1.9	1.5	47.6%	52.7%	28.9%	32.1%	78.6%
Mady SissokoC	32	27.0	8.3	8.2	0.4	65.3%	67.4%	13.4%	—	69.6%
Jovan Blacksher Jr.G	29	29.7	10.5	2.4	2.5	44.3%	47.8%	21.0%	34.0%	80.7%
DeJuan CampbellG	27	25.8	7.8	2.5	1.6	38.5%	43.1%	19.8%	22.8%	71.9%
Lee DortF	33	14.3	3.6	4.6	0.5	59.2%	60.2%	14.2%	—	60.0%
Joshua Ola-JosephF	24	17.6	7.2	3.8	0.3	53.7%	55.8%	20.6%	36.5%	67.5%
Christian TuckerG	33	11.9	1.7	0.9	1.0	39.1%	44.7%	11.5%	36.0%	81.3%
Spencer MahoneyF	27	6.3	1.5	1.0	0.2	38.0%	39.8%	15.8%	30.0%	55.6%
BJ OmotF	4	26.5	10.8	3.0	0.0	52.8%	54.0%	21.9%	35.3%	62.5%
Devin CurtisF	6	3.0	1.0	0.5	0.2	75.0%	87.6%	9.4%	100.0%	100.0%
Vladimir PavlovicG	3	4.3	0.0	0.3	0.0	—	—	7.6%	—	—
Jack McCloskeyG	4	1.5	0.0	0.0	0.3	0.0%	0.0%	24.8%	0.0%	—
Matt DeslerG	4	1.0	0.0	0.0	0.0	—	—	0.0%	—	—
Jayden KarapetianG	2	1.5	0.0	0.5	0.0	—	—	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.

Games14-19

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

Date	Opponent	Quad	Result	Ours	Pace	Snapshot
11-04	vsCal State Bakersfield	Q4#255	W 86-73	+12.3	69	11-03
11-07	vsCal Poly	Q4#229	W 91-73	+20.1	70	11-04
11-13	@Vanderbilt	Q1#57	L 69-85	-3.8	70	11-11
11-17	@USC	Q1#60	W 71-66	-10.9	71	11-11
11-21	vsAir Force	Q4#282	W 78-69	+14.3	68	11-18
11-24	vsSacramento State	Q4#341	W 83-77	+16.6	69	11-18
11-27	vsMercyhurst	Q4#330	W 81-55	+17.6	69	11-25
12-03	@Missouri	Q1#28	L 93-98	-10.4	72	12-02
12-07	vsStanford	Q3#84	L 81-89	+1.3	71	12-02
12-10	vsCornell	Q3#104	L 80-88	+2.9	72	12-09
12-14	vsNorthwestern State	Q4#260	W 84-66	+14.6	70	12-09
12-21	nSan Diego State	Q2#56	L 50-71	-9.3	70	12-16
01-01	@Pittsburgh	Q1#53	L 74-86	-18.5	71	12-30
01-04	@Clemson	Q1#23	L 68-80	-14.6	71	12-30
01-08	vsVirginia	Q3#96	W 75-61	+2.5	67	01-06
01-11	vsVirginia Tech	Q3#124	L 68-71	+4.2	70	01-06
01-15	@North Carolina	Q1#32	L 53-79	-15.5	73	01-13
01-18	@NC State	Q2#102	W 65-62	-6.7	70	01-13
01-22	vsFlorida State	Q3#86	W 77-68	-3.0	72	01-20
01-25	vsMiami	Q3#157	W 98-94	+5.8	70	01-20
01-29	@SMU	Q1#42	L 65-76	-13.0	72	01-27
02-01	vsSyracuse	Q3#117	L 66-75	+4.2	72	01-27
02-05	vsNC State	Q3#102	W 74-62	+0.2	69	02-03
02-08	vsWake Forest	Q2#61	L 66-76	-3.7	70	02-03
02-12	@Duke	Q1#1	L 57-78	-25.7	69	02-10
02-15	@Georgia Tech	Q2#106	L 88-90	-3.5	71	02-10
02-22	@Stanford	Q2#84	L 61-66	-6.2	70	02-17
02-26	vsSMU	Q2#42	L 77-81	-7.5	71	02-24
03-01	vsBoston College	Q4#165	W 82-71	+6.2	70	02-24
03-05	@Louisville	Q1#34	L 68-85	-14.9	71	03-03
03-08	@Notre Dame	Q2#90	L 110-112	-5.9	69	03-03
03-11	nVirginia Tech	Q3#124	W 82-73	+1.2	70	03-10
03-12	nStanford	Q2#84	L 73-78	-3.2	70	03-10

How this is measured

Ranks are out of 364 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.