Tarleton State

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.

UAC · 13-17 · AdjEM -0.8, 177 of 363 nationally.

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

Adjusted ratingas of 2023-04-03

Every team →

AdjEM: -0.8177 of 363
AdjO: 99.8217 of 363
AdjD: 100.6138 of 363
AdjT: 68.0264 of 363

Tarleton State went from -0.7 (#185) on 2022-11-06 to -0.8 (#177) on 2023-04-03, peaking at +5.8 (#106) 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 · 30 complete games

Leaderboards →

eFG%: 47.6%309
TOV%: 17.0%184
OREB%: 22.8%292
FTA/FGA: 47.6%1
Opp eFG%: 53.3%309
Opp TOV%: 22.7%5
DREB%: 72.5%230
Opp FTA/FGA: 46.2%359

Résumé13-17 · against the ratings of 2023-04-03

Schedule strength: +2.3116 of 363
Non-conference: +5.152 of 363
Luck: +1.7%137 of 363
Wins above bubble: -9.1185 of 363

Quad 1: 0-4
Quad 2: 2-5
Quad 3: 4-6
Quad 4: 7-2

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.

Players17 who played · most minutes first

National leaders →

Player	G	MPG	PPG	RPG	APG	eFG%	TS%	USG%	3P%	FT%
Shakur DanielG	33	35.6	7.8	3.1	2.9	47.9%	53.0%	12.7%	36.7%	68.9%
Shamir BoguesG	34	28.7	9.5	3.6	1.9	57.3%	59.4%	16.7%	36.2%	67.9%
Lue WilliamsG	34	24.8	10.7	3.2	0.9	52.3%	56.2%	23.3%	41.2%	77.8%
Freddy HicksG	23	30.4	16.2	6.0	2.3	47.5%	56.3%	28.8%	34.0%	75.3%
Jakorie SmithF	29	21.8	9.8	4.0	1.6	47.6%	52.3%	25.1%	33.7%	74.7%
Javontae HopkinsG	31	14.5	4.2	1.7	0.5	45.1%	49.4%	18.7%	45.5%	61.7%
Tiger BookerG	29	13.3	6.6	0.9	1.1	48.8%	57.5%	24.9%	40.0%	82.5%
KiAndre GaddyF	28	11.8	4.4	2.5	0.6	60.7%	58.2%	20.3%	0.0%	45.5%
Garry ClarkF	29	10.2	4.6	2.1	0.7	51.4%	54.3%	23.2%	33.3%	79.2%
Coreyoun RushinF	27	10.5	2.7	1.6	0.6	57.1%	55.0%	16.0%	—	40.0%
Noah McDavidG	21	11.8	2.3	0.8	0.5	41.0%	44.0%	13.9%	29.4%	66.7%
Rod BrownF	23	8.3	1.1	1.9	0.5	33.3%	39.0%	12.2%	—	52.9%
Tydan ArchibaldG	20	5.7	1.4	0.6	0.2	32.6%	32.6%	20.9%	22.9%	—
Mareng GatkuothG	9	10.3	3.7	1.2	0.4	43.1%	44.1%	23.4%	23.8%	66.7%
Lajae JonesG	10	6.1	3.6	1.4	0.3	57.1%	57.5%	27.2%	0.0%	57.1%
Luke WinslowG	12	3.2	0.3	0.5	0.3	13.6%	13.6%	17.6%	12.5%	—
Jalen ThomasG	10	3.6	2.1	0.8	0.6	44.4%	47.1%	37.5%	—	55.6%

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.

Games13-17

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

Date	Opponent	Quad	Result	Ours	Pace	Snapshot
11-07	@Arizona State	Q1#71	L 59-62	-8.1	68	11-06
11-18	nBelmont	Q2#98	W 89-81	-2.6	70	11-14
11-20	nBoston College	Q3#167	W 70-54	+4.8	69	11-14
11-21	nDrake	Q1#46	L 64-71	-5.6	68	11-14
11-26	@Wichita State	Q2#107	L 71-83	-4.9	68	11-21
11-29	vsWeber State	Q4#207	W 75-65	+12.6	69	11-28
12-06	@Baylor	Q1#17	L 57-80	-16.2	71	12-05
12-11	@UCF	Q1#53	L 49-75	-7.3	69	12-05
12-18	@Air Force	Q3#150	L 67-81	-5.3	67	12-12
12-29	vsUT Arlington	Q4#250	W 70-63	+10.0	69	12-26
12-31	@Abilene Christian	Q3#206	L 63-69	-2.1	70	12-26
01-05	vsSouthern Utah	Q3#120	W 68-65	+3.3	73	01-02
01-07	@Sam Houston	Q2#83	L 68-75	-13.2	69	01-02
01-11	vsChicago State	Q4#309	W 73-63	+11.9	68	01-09
01-14	vsAbilene Christian	Q4#206	W 72-63	+6.7	70	01-09
01-19	@Seattle U	Q3#153	L 47-67	-6.1	70	01-16
01-21	@California Baptist	Q3#185	L 48-77	-3.2	68	01-16
01-26	vsUtah Tech	Q4#174	W 74-72	+3.8	70	01-23
01-28	vsGrand Canyon	Q3#110	W 81-62	-1.9	68	01-23
02-04	vsUT Rio Grande Valley	Q4#288	L 65-68	+10.3	72	01-30
02-06	@UT Arlington	Q4#250	W 69-64	+1.9	68	01-30
02-09	@Southern Utah	Q2#120	L 62-72	-8.6	71	02-06
02-11	@Utah Tech	Q3#174	W 75-71	-3.9	70	02-06
02-15	@Stephen F. Austin	Q2#133	L 60-65	-8.0	69	02-13
02-18	vsSam Houston	Q3#83	L 59-64	-4.5	67	02-13
02-23	vsUtah Valley	Q2#65	W 77-58	-4.0	69	02-20
02-25	@UT Rio Grande Valley	Q4#288	L 95-99	+2.0	71	02-20
03-07	nUT Rio Grande Valley	Q4#288	W 74-70	+6.5	72	03-06
03-09	nUtah Valley	Q2#65	L 58-72	-7.7	70	03-06
03-19	nRadford	Q3#184	L 70-72	+0.4	67	03-13

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.