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Clemson

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 · 23-11 · AdjEM +13.2, 58 of 363 nationally.

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

Adjusted ratingas of 2023-04-03

Every team →
AdjEM
+13.258 of 363
AdjO
108.760 of 363
AdjD
95.659 of 363
AdjT
69.9151 of 363

Clemson went from +8.2 (#79) on 2022-11-06 to +13.2 (#58) on 2023-04-03, peaking at +13.6 (#52) on 2023-03-13.

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 · 34 complete games

Leaderboards →
eFG%
54.1%29
TOV%
15.6%72
OREB%
21.9%316
FTA/FGA
30.5%212
Opp eFG%
47.3%44
Opp TOV%
15.4%287
DREB%
77.9%28
Opp FTA/FGA
30.7%171

Résumé23-11 · against the ratings of 2023-04-03

Schedule strength
+4.0100 of 363
Non-conference
-2.3264 of 363
Luck
-1.9%231 of 363
Wins above bubble
-1.363 of 363
Quad 1
4-5
Quad 2
4-1
Quad 3
7-2
Quad 4
8-3

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 →
PlayerGMPGPPGRPGAPGeFG%TS%USG%3P%FT%
Hunter TysonF3434.715.39.61.559.5%63.1%—40.5%83.8%
Jaeden ZackeryG3333.210.73.22.746.9%51.8%—32.3%76.7%
Chase HunterG3132.013.83.04.547.9%52.8%—35.6%81.3%
Brevin GallowayG3229.211.22.42.353.0%58.0%—32.7%86.9%
PJ HallC3324.615.35.71.058.1%61.3%—39.8%78.6%
Ian SchieffelinF3419.95.54.11.954.3%56.8%—33.3%68.8%
Alex HemenwayG2023.96.81.81.167.9%68.8%—47.1%75.0%
Joshua BeadleG3312.82.31.00.840.7%42.2%—21.4%63.6%
Dillon HunterG3311.91.41.21.232.5%35.9%—15.0%60.0%
Ben MiddlebrooksF3411.23.12.70.448.0%55.3%—0.0%77.3%
RJ GodfreyF339.43.22.10.361.8%62.8%—33.3%65.4%
Chauncey WigginsF278.92.40.90.457.4%57.7%—40.0%66.7%
Devin FosterG71.00.00.10.00.0%0.0%—0.0%0.0%
Jack NauseefG61.00.20.20.30.0%16.9%—0.0%50.0%
Daniel NauseefF70.90.60.60.166.7%66.7%———
Matt KellyG61.00.70.20.2100.0%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.

Games23-11

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

DateOpponentQuadResultOurs
11-07vsThe CitadelQ4#323W 80-69+13.7
11-11@South CarolinaQ3#236L 58-60+0.1
11-15vsSouth Carolina UpstateQ4#254W 81-70+15.6
11-18vsBellarmineQ4#263W 76-66+8.2
11-21vsLoyola MarylandQ4#314W 72-41+11.7
11-25nIowaQ1#42L 71-74-10.7
11-26nCaliforniaQ4#293W 67-59+9.9
11-29vsPenn StateQ2#43W 101-94+1.9
12-02vsWake ForestQ3#84W 77-57+4.8
12-07vsTowsonQ3#111W 80-75+6.8
12-10nLoyola ChicagoQ4#218L 58-76+8.0
12-17nRichmondQ3#136W 85-57+0.6
12-21@Georgia TechQ3#164W 79-66-0.9
12-30vsNC StateQ2#56W 78-64+4.8
01-04@Virginia TechQ1#64W 68-65-6.3
01-07@PittsburghQ1#70W 75-74-0.8
01-11vsLouisvilleQ4#287W 83-70+20.8
01-14vsDukeQ1#13W 72-64+0.9
01-17@Wake ForestQ2#84L 77-87-1.7
01-21vsVirginia TechQ2#64W 51-50+3.4
01-24vsGeorgia TechQ4#164W 72-51+12.2
01-28@Florida StateQ3#203W 82-81+4.6
01-31@Boston CollegeQ3#167L 54-62+6.0
02-04vsMiamiQ1#23L 74-78+1.8
02-11@North CarolinaQ1#38L 71-91-6.8
02-15vsFlorida StateQ4#203W 94-54+12.6
02-18@LouisvilleQ4#287L 73-83+11.3
02-22vsSyracuseQ3#115W 91-73+6.7
02-25@NC StateQ1#56W 96-71-5.7
02-28@VirginiaQ1#30L 57-64-5.6
03-04vsNotre DameQ3#152W 87-64+11.2
03-09nNC StateQ2#56W 80-54+0.1
03-10nVirginiaQ1#30L 56-76-1.5
03-15vsMorehead StateQ4#224L 64-68+16.1

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.