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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 · 11-17 · AdjEM -1.2, 191 of 359 nationally.

2021-22 seasonthrough ratings as of 2022-04-0421 weekly snapshots

Adjusted ratingas of 2022-04-04

Every team →
AdjEM
-1.2191 of 359
AdjO
99.0219 of 359
AdjD
100.2163 of 359
AdjT
64.6348 of 359

Tarleton State went from -2.4 (#256) on 2021-11-15 to -1.2 (#191) on 2022-04-04, peaking at +2.2 (#133) on 2021-12-27.

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

2021-11-152022-04-04

Four factorsraw season rates · 28 complete games

Leaderboards →
eFG%
46.3%317
TOV%
15.8%70
OREB%
24.3%239
FTA/FGA
33.7%74
Opp eFG%
52.4%280
Opp TOV%
23.4%3
DREB%
67.5%347
Opp FTA/FGA
35.6%300

Résumé11-17 · against the ratings of 2022-04-04

Schedule strength
+0.0167 of 359
Non-conference
+5.241 of 359
Luck
-7.4%323 of 359
Wins above bubble
-8.8216 of 359
Quad 1
0-4
Quad 2
0-5
Quad 3
3-6
Quad 4
8-2

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.

Players19 who played · most minutes first

National leaders →
PlayerGMPGPPGRPGAPGeFG%TS%USG%3P%FT%
Montre' GipsonG3135.514.94.73.247.8%52.0%24.7%31.0%79.1%
Tahj SmallG2933.413.85.61.347.7%51.5%25.3%29.8%78.7%
Freddy HicksG3131.112.85.31.746.9%54.0%23.3%30.6%77.7%
Shamir BoguesG3129.07.13.51.848.3%49.7%15.5%22.9%61.5%
Noah McDavidG3124.46.22.30.848.4%53.8%14.7%38.6%90.7%
Shakur DanielG1732.35.23.42.138.1%44.7%13.0%31.3%68.3%
Javontae HopkinsG3115.13.81.50.747.8%52.0%14.7%25.0%68.3%
Jayshawn MooreG258.82.01.30.341.0%48.2%16.6%0.0%68.0%
Luke WinslowG164.30.60.60.128.1%28.1%14.3%23.1%—
Bryce BrownF162.91.10.80.038.5%50.7%26.1%—80.0%
Jaheim HoldenG133.20.80.30.835.0%40.4%27.4%25.0%60.0%
Kylon OwensF142.70.50.40.027.3%29.3%18.4%—50.0%
KiAndre GaddyF134.020.013.02.025.0%38.2%47.8%0.0%76.9%
Jonathan Jackson Jr.F131.08.02.01.057.1%53.5%16.5%0.0%0.0%
Garrett LevesqueG93.10.30.40.20.0%27.9%14.2%—60.0%
Cameron JerniganF37.03.73.00.060.0%62.5%30.3%—62.5%
Adil LaljiF118.011.00.00.068.8%68.8%29.9%50.0%—
Jahlen JackF72.11.30.60.040.0%41.1%39.3%0.0%50.0%
Stefan BryantG31.70.01.30.00.0%0.0%53.9%——

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.

Games11-17

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

DateOpponentQuadResultOurs
11-09@StanfordQ2#135L 50-62—
11-12@KansasQ1#4L 62-88—
11-16@Wichita StateQ2#87L 51-65-11.8
11-22@North Dakota StateQ3#153L 53-54-15.5
11-24@MichiganQ1#33L 54-65-14.1
11-29@GonzagaQ1#1L 55-64-21.6
12-05vsCharleston SouthernQ4#354L 57-59+17.6
12-14@South AlabamaQ3#143L 62-69-11.8
12-17vsSouth AlabamaQ3#143W 65-52+1.1
12-21vsAir ForceQ4#274W 67-45+6.9
12-30@Utah TechQ4#296W 83-69+0.6
01-01@Utah ValleyQ2#107L 55-77-9.4
01-06vsSam HoustonQ3#156W 75-64+10.9
01-08vsStephen F. AustinQ3#120W 77-71+7.3
01-13@New Mexico StateQ1#59L 57-73-8.8
01-15@Grand CanyonQ2#76L 59-80-8.0
01-20vsCalifornia BaptistQ4#215L 84-88+8.2
01-22vsSeattle UQ3#123L 68-76+3.3
01-26@LamarQ4#347W 62-57+4.7
01-29@UT Rio Grande ValleyQ4#298W 79-64-1.0
02-05vsChicago StateQ4#341W 57-54+14.5
02-12vsAbilene ChristianQ3#128L 63-77+3.6
02-16vsUtah ValleyQ3#107L 56-69-0.1
02-19@Chicago StateQ4#341W 79-60+5.8
02-24vsUT Rio Grande ValleyQ4#298W 75-62+8.9
02-26vsLamarQ4#347W 57-49+13.7
03-03@Sam HoustonQ3#156L 50-69-3.0
03-05@Abilene ChristianQ2#128L 56-61-5.5

How this is measured

Ranks are out of 359 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.