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Campbell

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 South · 14-18 · AdjEM -5.0, 228 of 363 nationally.

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

Adjusted ratingas of 2023-04-03

Every team →
AdjEM
-5.0228 of 363
AdjO
101.1187 of 363
AdjD
106.1267 of 363
AdjT
67.5289 of 363

Campbell went from -3.0 (#221) on 2022-11-06 to -5.0 (#228) on 2023-04-03, peaking at +3.5 (#132) on 2022-11-21.

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%
52.7%65
TOV%
16.9%163
OREB%
21.3%326
FTA/FGA
38.0%33
Opp eFG%
52.6%288
Opp TOV%
17.4%139
DREB%
74.0%157
Opp FTA/FGA
32.1%215

Résumé14-18 · against the ratings of 2023-04-03

Schedule strength
-4.3285 of 363
Non-conference
-2.6274 of 363
Luck
-4.1%276 of 363
Wins above bubble
-13.4281 of 363
Quad 1
0-1
Quad 2
0-0
Quad 3
4-11
Quad 4
10-6

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.

Players15 who played · most minutes first

National leaders →
PlayerGMPGPPGRPGAPGeFG%TS%USG%3P%FT%
Ricky ClemonsG3435.714.24.03.357.4%61.0%21.2%39.7%66.8%
Jay PalF3231.012.36.91.463.0%65.1%20.1%32.9%73.4%
Anthony Dell'OrsoG3429.012.55.81.355.1%59.6%23.8%32.2%83.0%
Gediminas MokseckasG3423.53.41.71.243.1%44.9%11.3%28.6%52.5%
Joshua LusaneF3421.38.83.31.947.1%50.9%25.9%29.8%76.1%
Laurynas VaistarasF3315.64.32.51.352.6%54.5%18.0%34.4%65.6%
Juan ReynaG3015.95.31.10.946.7%50.6%20.8%30.1%75.0%
Devon DunnG2220.67.51.20.655.1%56.3%20.3%39.8%72.2%
Jasin SinaniG2814.52.91.20.443.3%47.9%13.5%32.5%83.3%
Mason GrantG227.72.41.80.151.3%53.7%18.2%16.7%59.1%
Jesus Carralero MartinF527.010.65.22.657.1%55.0%26.4%54.5%38.5%
Darwin RandolphG44.30.00.00.30.0%0.0%9.8%0.0%—
Omar HarrisG53.40.40.00.020.0%18.3%21.2%0.0%0.0%
Elijah WalshG44.01.50.00.050.0%50.8%24.0%0.0%50.0%
Wesley JohnsonC22.51.50.50.037.5%37.5%44.5%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.

Games14-18

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

DateOpponentQuadResultOurs
11-11@NC StateQ1#56L 67-73-11.4
11-18@App StateQ3#193W 63-58-2.9
11-19nSE LouisianaQ4#276L 69-70+1.6
11-20nKennesaw StateQ3#142W 85-61-1.7
11-23vsJacksonvilleQ4#223L 43-64+5.9
11-27vsStetsonQ4#192W 87-85+7.6
12-02@East CarolinaQ3#208L 69-79-3.9
12-07@EvansvilleQ4#353L 66-72+3.3
12-17@Georgia SouthernQ3#216L 53-54-1.8
12-21vsUNC WilmingtonQ3#146L 66-74-1.6
12-29@PresbyterianQ4#338L 72-82+1.5
12-31vsLongwoodQ3#154L 42-67-0.7
01-04vsGardner-WebbQ4#181W 63-58-3.3
01-07@UNC AshevilleQ3#149L 55-58-8.7
01-11@South Carolina UpstateQ4#254W 78-63-3.4
01-14vsWinthropQ4#232L 74-78+3.5
01-18vsRadfordQ4#184L 55-63-0.5
01-21@Charleston SouthernQ4#319W 78-76-1.8
01-25@High PointQ4#281W 72-64-3.8
01-28vsUNC AshevilleQ3#149L 65-78-2.0
02-01vsSouth Carolina UpstateQ4#254W 78-66+4.7
02-04@LongwoodQ3#154L 50-74-10.0
02-08vsHigh PointQ4#281W 82-66+5.0
02-11@Gardner-WebbQ3#181L 73-77-9.2
02-15vsCharleston SouthernQ4#319W 67-51+7.0
02-18vsPresbyterianQ4#338W 74-57+8.8
02-22@WinthropQ3#232L 93-95-4.6
02-25@RadfordQ3#184L 65-67-6.7
03-01nPresbyterianQ4#338W 68-63+6.9
03-03nLongwoodQ3#154W 81-68-5.4
03-04nRadfordQ3#184W 72-71-2.7
03-05nUNC AshevilleQ3#149L 73-77-6.0

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.