Skip to content

Alabama A&M

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.

SWAC · 12-18 · AdjEM -12.5, 316 of 363 nationally.

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

Adjusted ratingas of 2023-04-03

Every team →
AdjEM
-12.5316 of 363
AdjO
92.8334 of 363
AdjD
105.3252 of 363
AdjT
70.0143 of 363

Alabama A&M went from -9.0 (#298) on 2022-11-06 to -12.5 (#316) on 2023-04-03, peaking at -9.0 (#298) 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 · 30 complete games

Leaderboards →
eFG%
48.6%278
TOV%
19.3%317
OREB%
28.2%132
FTA/FGA
35.9%56
Opp eFG%
49.4%117
Opp TOV%
20.1%33
DREB%
68.0%349
Opp FTA/FGA
41.8%345

Résumé12-18 · against the ratings of 2023-04-03

Schedule strength
-8.1344 of 363
Non-conference
+3.690 of 363
Luck
-2.3%241 of 363
Wins above bubble
-14.2290 of 363
Quad 1
0-2
Quad 2
0-1
Quad 3
0-5
Quad 4
12-10

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%
Garrett HicksG3131.912.84.01.753.4%54.9%20.7%40.3%66.7%
Messiah ThompsonG3226.810.82.03.252.3%53.1%22.7%40.8%58.2%
Cameron TuckerG3124.45.92.42.749.6%54.7%15.2%32.0%71.4%
Dailin SmithG2824.610.52.61.150.8%57.2%22.9%35.5%70.7%
Olisa Blaise AkonobiC3119.87.85.60.457.4%59.8%19.9%—68.6%
Lorenzo DowneyG3316.25.81.80.657.3%58.4%19.1%41.8%62.8%
Brandon PowellG3015.02.13.00.432.9%35.1%12.9%26.7%46.2%
EJ WilliamsC3211.93.62.41.048.4%52.3%20.2%0.0%67.5%
Eric LeeG319.11.41.40.534.0%34.6%13.5%0.0%34.4%
Austin HarvellF2411.53.52.00.547.2%51.5%18.9%50.0%80.0%
Omari PeekG2411.36.11.40.749.2%50.9%30.4%27.0%66.7%
Xavier BrewerF328.42.72.20.438.1%40.9%23.1%26.9%70.6%
William TavaresC236.21.61.40.445.6%47.6%16.9%33.3%62.5%
Jayland RandallG236.03.11.00.247.4%51.5%28.3%18.2%68.0%
Darius OsborneF12.00.00.00.0——0.0%——
Caleb BlackwellG20.00.00.00.00.0%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.

Games12-18

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

DateOpponentQuadResultOurs
11-10vsNorth AlabamaQ4#267L 76-84+3.7
11-14@Tennessee StateQ4#277L 76-87-4.9
11-17vsSamfordQ3#126L 64-84-5.8
11-19nNorfolk StateQ3#176L 83-89-9.7
11-23vsLouisiana TechQ3#147L 75-80-12.0
12-09vsLipscombQ4#170W 63-59-5.0
12-12vsSouth AlabamaQ3#106L 71-78-6.8
12-17@IllinoisQ1#32L 47-68-28.6
12-22@VanderbiltQ2#79L 62-70-18.6
12-29@Ohio StateQ1#37L 59-90-27.6
01-02vsArkansas-Pine BluffQ4#339W 66-59+6.9
01-04vsMississippi Valley StateQ4#359W 75-68+12.8
01-07@Alcorn StateQ4#272L 76-89-6.9
01-09@Jackson StateQ4#318L 64-72-5.0
01-16vsAlabama StateQ4#350L 61-69+6.5
01-21vsTexas SouthernQ4#299L 59-70+0.1
01-23vsPrairie View A&MQ4#284W 67-59-0.4
01-28@Florida A&MQ4#356W 61-56+1.1
01-30@Bethune-CookmanQ4#354L 77-88-0.8
02-04vsSouthernQ4#269W 82-61-5.8
02-06vsGramblingQ4#211L 60-66-2.9
02-11@Mississippi Valley StateQ4#359W 70-68+2.3
02-13@Arkansas-Pine BluffQ4#339W 75-72-3.8
02-18vsBethune-CookmanQ4#354W 90-56+7.3
02-20vsFlorida A&MQ4#356L 71-77+9.1
02-25@Alabama StateQ4#350W 55-50-0.7
03-02@GramblingQ3#211L 48-60-9.9
03-04@SouthernQ4#269W 68-65-8.4
03-09nSouthernQ4#269W 77-63-3.9
03-10nTexas SouthernQ4#299L 61-74-1.1

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.