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Oklahoma 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.

Big 12 · 20-16 · AdjEM +14.0, 50 of 363 nationally.

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

Adjusted ratingas of 2023-04-03

Every team →
AdjEM
+14.050 of 363
AdjO
103.4143 of 363
AdjD
89.411 of 363
AdjT
69.8157 of 363

Oklahoma State went from +10.9 (#46) on 2022-11-06 to +14.0 (#50) on 2023-04-03, peaking at +16.2 (#32) on 2023-02-13.

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 · 36 complete games

Leaderboards →
eFG%
48.8%267
TOV%
19.5%327
OREB%
30.1%71
FTA/FGA
32.5%133
Opp eFG%
45.6%12
Opp TOV%
17.1%164
DREB%
74.7%121
Opp FTA/FGA
30.4%165

Résumé20-16 · against the ratings of 2023-04-03

Schedule strength
+11.97 of 363
Non-conference
+4.176 of 363
Luck
+0.8%155 of 363
Wins above bubble
+0.151 of 363
Quad 1
6-12
Quad 2
4-3
Quad 3
5-1
Quad 4
5-0

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.

Players14 who played · most minutes first

National leaders →
PlayerGMPGPPGRPGAPGeFG%TS%USG%3P%FT%
Bryce ThompsonG3630.511.82.62.646.6%47.5%24.5%37.0%54.7%
John-Michael WrightG3630.39.82.82.046.5%49.5%19.1%34.0%81.0%
Caleb AsberryG3427.69.73.71.751.5%57.5%18.4%34.5%83.8%
Kalib BooneF3621.310.64.91.058.8%62.3%24.0%25.0%75.7%
Moussa CisseC3222.66.88.00.658.2%55.2%16.2%—41.0%
Avery Anderson IIIG2227.911.13.53.442.7%51.1%24.7%18.0%82.3%
Woody NewtonG2916.94.33.40.544.1%46.6%16.0%27.7%61.8%
Quion WilliamsG3413.13.22.50.939.2%43.0%18.0%20.5%76.0%
Chris Harris Jr.G3213.62.41.31.134.9%38.1%14.2%22.4%78.6%
Bernard KoumaF102.10.20.40.020.0%16.8%16.5%—0.0%
Naz BrownG102.00.20.30.316.7%16.7%24.9%0.0%—
Carson SagerG71.30.00.10.0——11.1%——
Weston ChurchG71.10.40.10.0150.0%150.0%6.2%100.0%—
Brooks ManzerG31.30.00.30.3——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.

Games20-16

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

DateOpponentQuadResultOurs
11-07vsUT ArlingtonQ4#250W 77-66+16.1
11-10vsSouthern IllinoisQ3#121L 60-61+4.9
11-13@OaklandQ4#264W 91-62+0.5
11-18nUCFQ2#53L 56-60+3.3
11-20nDePaulQ3#143W 82-78+2.5
11-25vsTulsaQ4#315W 82-56+11.8
11-27vsPrairie View A&MQ4#284W 78-53+13.1
12-01@UConnQ1#3L 64-74-14.9
12-06vsSam HoustonQ3#83W 65-51+5.5
12-11nVirginia TechQ2#64L 65-70+0.1
12-17@Wichita StateQ2#107W 59-49-1.0
12-20vsTexas A&M-Corpus ChristiQ4#201W 81-58+17.2
12-31@KansasQ1#10L 67-69-10.0
01-02vsWest VirginiaQ1#25W 67-60+3.0
01-07vsTexasQ1#7L 46-56-0.1
01-10@Kansas StateQ1#26L 57-65-4.4
01-14@BaylorQ1#17L 58-74-5.7
01-18vsOklahomaQ2#61W 72-56+3.8
01-21vsIowa StateQ1#27W 61-59+0.1
01-24@TexasQ1#7L 75-89-8.3
01-28vsOle MissQ3#114W 82-60+8.7
02-01@OklahomaQ1#61W 71-61-2.9
02-04vsTCUQ1#22W 79-73+1.1
02-08vsTexas TechQ2#41W 71-68+4.9
02-11@Iowa StateQ1#27W 64-56-6.5
02-14vsKansasQ1#10L 76-87-0.5
02-18@TCUQ1#22L 75-100-4.8
02-20@West VirginiaQ1#25L 67-85-4.3
02-25vsKansas StateQ1#26L 68-73+2.5
02-27vsBaylorQ1#17L 68-74-0.3
03-04@Texas TechQ1#41W 71-68-4.6
03-08nOklahomaQ2#61W 57-49+1.1
03-09nTexasQ1#7L 47-61-6.3
03-15@Youngstown StateQ3#140W 69-64+4.6
03-19vsEastern WashingtonQ3#134W 71-60+11.9
03-21vsNorth TexasQ2#31L 59-65+2.5

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.