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Florida 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 · 5-22 · AdjEM -18.7, 341 of 362 nationally.

2023-24 seasonthrough ratings as of 2024-04-0824 weekly snapshots

Adjusted ratingas of 2024-04-08

Every team →
AdjEM
-18.7341 of 362
AdjO
91.4349 of 362
AdjD
110.1311 of 362
AdjT
69.3216 of 362

Florida A&M went from -20.4 (#357) on 2023-11-05 to -18.7 (#341) on 2024-04-08, peaking at -17.3 (#344) on 2023-12-11.

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

2023-11-052024-04-08

Four factorsraw season rates · 27 complete games

Leaderboards →
eFG%
47.5%292
TOV%
20.1%354
OREB%
24.9%236
FTA/FGA
28.0%305
Opp eFG%
51.8%252
Opp TOV%
15.6%199
DREB%
70.2%304
Opp FTA/FGA
39.2%312

Résumé5-22 · against the ratings of 2024-04-08

Schedule strength
-4.3253 of 362
Non-conference
+14.52 of 362
Luck
-7.4%323 of 362
Wins above bubble
-16.4317 of 362
Quad 1
0-6
Quad 2
0-2
Quad 3
0-0
Quad 4
5-14

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.

Players20 who played · most minutes first

National leaders →
PlayerGMPGPPGRPGAPGeFG%TS%USG%3P%FT%
K'Jei ParkerG2828.36.82.82.834.7%37.8%19.9%25.0%77.1%
Keith LamarF2727.913.85.31.453.4%56.9%25.5%42.4%75.5%
Jordan ChatmanG2923.05.34.20.845.1%49.5%14.3%33.3%74.4%
Shannon GrantC2922.910.44.40.758.6%59.2%23.0%0.0%59.5%
Jalen SpeerG1932.915.53.44.050.2%53.0%28.8%38.8%73.3%
Hantz Louis-JeuneG2919.95.93.21.452.1%53.9%17.2%31.9%65.7%
Roderick Coffee IIIF2720.94.02.42.536.3%40.9%14.2%21.7%75.9%
Morrell SchrammG2514.94.22.61.253.6%55.9%15.7%46.2%73.7%
Ja'Derryus EatmonF1914.65.12.70.551.3%52.3%21.1%—54.8%
Chase BarrsF2110.31.82.90.445.2%49.2%10.9%—62.5%
Guy FauntleroyG168.93.40.81.344.7%49.9%23.0%38.5%80.0%
Love BettisG720.39.71.11.450.9%56.1%25.2%46.7%92.9%
Matthew WebsterF1112.42.53.30.644.4%43.8%14.1%0.0%37.5%
Miles HallG155.90.90.50.233.3%38.5%11.9%—75.0%
Kye DicksonF127.22.72.80.243.1%42.1%25.3%9.1%36.8%
Peyton WilliamsF115.07.02.00.060.0%54.5%25.0%66.7%33.3%
Richard MathewsG32.30.00.30.00.0%0.0%14.4%0.0%—
Dimingus StevensG16.05.03.00.030.0%42.0%50.1%33.3%100.0%
Alvin TumblinF16.04.02.00.066.7%66.7%42.1%——
Adefemi AkinwoleG21.51.50.00.0150.0%150.0%16.9%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.

Games5-22

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

DateOpponentQuadResultOurs
11-07@CreightonQ1#9L 54-105-33.0
11-09@NebraskaQ1#40L 54-81-25.9
11-14@FloridaQ1#28L 68-89-28.9
11-20vsOregonQ2#54L 54-67-22.6
12-06@PresbyterianQ4#296W 65-60-11.9
12-16@IowaQ1#60L 52-88-25.6
12-17@Iowa StateQ1#8L 58-96-34.4
12-21@UCFQ1#58L 56-69-26.6
12-30@South CarolinaQ2#77L 62-94-20.7
01-06@Bethune-CookmanQ4#315L 86-98-4.9
01-13vsSouthernQ4#267L 65-74-6.8
01-15vsGramblingQ4#282L 52-65+1.9
01-20@Arkansas-Pine BluffQ4#331L 97-99-5.3
01-22@Mississippi Valley StateQ4#362W 81-70+5.8
01-27vsAlcorn StateQ4#297L 67-76-0.7
01-29vsJackson StateQ4#304W 88-86-4.3
02-03@Alabama A&MQ4#330L 61-73-3.4
02-05@Alabama StateQ4#329L 53-62-9.3
02-10vsTexas SouthernQ4#279L 75-78-3.4
02-12vsPrairie View A&MQ4#325L 58-61-1.5
02-17@Jackson StateQ4#304L 55-77-9.6
02-19@Alcorn StateQ4#297L 68-79-8.4
02-24vsAlabama StateQ4#329W 73-65-0.8
02-26vsAlabama A&MQ4#330W 76-58+1.5
03-02@GramblingQ4#282L 68-75-8.6
03-04@SouthernQ4#267L 44-58-11.9
03-09vsBethune-CookmanQ4#315L 66-67+1.1

How this is measured

Ranks are out of 362 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.