USC

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.

Big Ten · 17-18 · AdjEM +15.3, 60 of 364 nationally.

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

Adjusted ratingas of 2025-04-07

Every team →

AdjEM: +15.360 of 364
AdjO: 114.548 of 364
AdjD: 99.280 of 364
AdjT: 70.0163 of 364

USC went from +18.4 (#33) on 2024-11-03 to +15.3 (#60) on 2025-04-07, peaking at +19.8 (#29) on 2024-11-04.

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 · 35 complete games

Leaderboards →

eFG%: 54.8%40
TOV%: 16.8%239
OREB%: 26.6%218
FTA/FGA: 35.5%104
Opp eFG%: 51.9%233
Opp TOV%: 16.8%111
DREB%: 72.1%197
Opp FTA/FGA: 34.6%221

Résumé17-18 · against the ratings of 2025-04-07

Schedule strength: +13.139 of 364
Non-conference: +3.2105 of 364
Luck: -6.4%309 of 364
Wins above bubble: -4.281 of 364

Quad 1: 3-13
Quad 2: 4-3
Quad 3: 4-2
Quad 4: 6-0

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.

Players19 who played · most minutes first

National leaders →

Player	G	MPG	PPG	RPG	APG	eFG%	TS%	USG%	3P%	FT%
Saint ThomasF	35	33.9	9.5	5.9	4.2	51.2%	52.6%	—	30.3%	63.3%
Desmond ClaudeG	33	32.5	15.8	3.5	4.2	51.4%	57.1%	—	30.7%	76.4%
Chibuzo AgboG	33	32.2	11.8	4.5	1.2	53.8%	57.9%	—	39.6%	86.1%
Wesley Yates IIIG	33	30.5	14.1	2.9	1.8	55.7%	59.3%	—	43.9%	79.8%
Ryan CornishG	27	29.2	17.1	4.9	3.3	48.8%	53.5%	—	37.2%	74.5%
Rashaun AgeeF	34	20.1	9.4	4.5	1.0	61.5%	64.2%	—	39.1%	74.1%
Jaden BrownellF	33	19.9	14.0	4.0	1.1	59.9%	62.1%	—	39.7%	80.3%
Matt KnowlingF	27	18.1	3.0	2.6	1.2	57.1%	57.7%	—	0.0%	58.8%
Josh CohenF	33	12.6	5.9	2.5	1.1	60.7%	63.6%	—	16.7%	73.2%
Clark SlajchertG	27	11.2	4.0	0.8	0.8	50.6%	53.9%	—	31.3%	71.4%
Terrance Williams IIF	7	32.1	10.6	4.6	0.9	60.6%	64.9%	—	36.0%	81.0%
Kevin Patton Jr.G	27	8.1	3.1	1.2	0.4	61.4%	61.5%	—	35.3%	59.1%
Jalen ShelleyF	22	7.5	2.0	1.4	0.5	42.3%	45.4%	—	17.6%	55.0%
Isaiah ElohimG	18	5.7	2.1	0.8	0.2	63.6%	63.2%	—	66.7%	58.8%
Bryce PopeG	14	6.2	1.3	0.6	0.0	47.4%	47.4%	—	30.8%	—
Harrison HorneryF	8	3.5	1.5	1.0	0.1	75.0%	67.0%	—	50.0%	0.0%
JD PloughG	1	1.0	0.0	0.0	0.0	0.0%	0.0%	—	0.0%	—
Jonah GoorinG	1	1.0	0.0	1.0	0.0	—	—	—	—	—
Brit BurdenF	1	1.0	2.0	1.0	0.0	100.0%	100.0%	—	—	—

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.

Games17-18

“Ours” is our projected margin for USC, 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	vsChattanooga	Q3#108	W 77-51	+16.1	70	11-03
11-07	vsIdaho State	Q4#209	W 75-69	+23.4	69	11-04
11-13	vsUT Arlington	Q4#213	W 98-95	+17.3	72	11-11
11-17	vsCalifornia	Q3#114	L 66-71	+10.9	71	11-11
11-20	vsSan José State	Q4#167	W 82-68	+19.3	69	11-18
11-24	vsGrambling	Q4#322	W 80-69	+16.0	70	11-18
11-28	nSaint Mary's	Q1#22	L 36-71	-5.2	68	11-25
11-29	nNew Mexico	Q1#47	L 73-83	-5.4	73	11-25
12-04	vsOregon	Q2#31	L 60-68	-6.4	70	12-02
12-07	@Washington	Q2#100	W 85-61	-5.5	71	12-02
12-15	vsMontana State	Q4#178	W 89-63	+6.5	69	12-09
12-18	vsCal State Northridge	Q3#142	W 90-69	+10.8	72	12-16
12-22	vsSouthern	Q4#238	W 82-51	+15.7	70	12-16
01-04	vsMichigan	Q1#27	L 74-85	-4.0	71	12-30
01-08	@Indiana	Q1#54	L 69-82	-6.5	71	01-06
01-11	@Illinois	Q1#17	W 82-72	-16.5	72	01-06
01-14	vsIowa	Q2#63	W 99-89	+1.2	72	01-13
01-18	vsWisconsin	Q1#19	L 69-84	-2.9	70	01-13
01-22	@Nebraska	Q1#52	W 78-73	-5.1	70	01-20
01-27	vsUCLA	Q1#20	L 76-82	-1.9	69	01-20
02-01	vsMichigan State	Q1#12	W 70-64	-4.3	70	01-27
02-04	@Northwestern	Q1#49	L 75-77	-4.3	69	02-03
02-07	@Purdue	Q1#14	L 72-90	-12.3	68	02-03
02-11	vsPenn State	Q2#68	W 92-67	+5.2	71	02-10
02-15	vsMinnesota	Q3#89	L 66-69	+7.7	68	02-10
02-20	@Maryland	Q1#15	L 71-88	-10.0	70	02-17
02-23	@Rutgers	Q2#77	L 85-95	-0.6	70	02-17
02-26	vsOhio State	Q2#37	L 82-87	-1.7	70	02-24
03-01	@Oregon	Q1#31	L 61-82	-6.9	70	02-24
03-05	vsWashington	Q3#100	W 92-61	+7.0	70	03-03
03-08	@UCLA	Q1#20	L 63-90	-9.4	68	03-03
03-12	nRutgers	Q2#77	W 97-89	+1.8	70	03-10
03-13	nPurdue	Q1#14	L 71-76	-8.6	68	03-10
04-01	nTulane	Q3#144	W 89-60	+8.6	70	03-31
04-03	nVillanova	Q1#38	L 59-60	-3.6	68	03-31

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.