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Cornell

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.

Ivy · 15-11 · AdjEM +2.9, 139 of 363 nationally.

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

Adjusted ratingas of 2023-04-03

Every team →
AdjEM
+2.9139 of 363
AdjO
108.662 of 363
AdjD
105.7257 of 363
AdjT
73.125 of 363

Cornell went from -0.6 (#182) on 2022-11-06 to +2.9 (#139) on 2023-04-03, peaking at +6.4 (#103) on 2023-01-16.

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 · 26 complete games

Leaderboards →
eFG%
54.8%21
TOV%
15.6%71
OREB%
26.1%199
FTA/FGA
28.5%270
Opp eFG%
55.7%356
Opp TOV%
20.6%22
DREB%
73.0%201
Opp FTA/FGA
30.9%175

Résumé15-11 · against the ratings of 2023-04-03

Schedule strength
-1.1178 of 363
Non-conference
-3.6298 of 363
Luck
+0.6%162 of 363
Wins above bubble
-5.3123 of 363
Quad 1
0-2
Quad 2
2-4
Quad 3
2-5
Quad 4
11-0

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.

Players17 who played · most minutes first

National leaders →
PlayerGMPGPPGRPGAPGeFG%TS%USG%3P%FT%
Greg DolanG2829.613.33.63.556.8%59.3%20.9%42.5%74.0%
Nazir WilliamsG2525.212.93.62.857.7%61.3%24.2%41.7%79.2%
Isaiah GrayG2820.98.82.91.457.8%59.9%19.5%30.4%67.6%
Sean HansenF2820.68.74.42.755.9%57.7%21.7%33.3%68.0%
Chris ManonG2820.011.03.62.358.6%62.3%27.2%29.7%75.3%
Keller BoothbyF2819.76.11.90.853.6%54.3%14.6%35.6%77.8%
Guy Ragland Jr.F2720.29.44.71.747.5%50.9%26.4%27.6%72.6%
Marcus FilienF2813.82.32.30.651.9%55.0%9.4%30.0%81.8%
Max WatsonG2614.05.31.60.756.8%57.1%17.8%38.8%62.5%
Josh BaldwinG2412.52.31.50.852.4%53.0%10.4%29.2%52.4%
Chris CainF184.81.90.70.362.0%61.0%16.4%33.3%50.0%
Cooper NoardG155.11.90.50.250.0%51.9%19.7%34.6%100.0%
DJ NixF154.11.00.80.153.6%53.6%12.0%33.3%—
Ryan KiachianC123.31.30.70.450.0%58.4%21.8%0.0%83.3%
Adam HintonG112.51.50.10.1121.4%121.4%19.2%100.0%—
AK OkerekeF41.50.50.50.350.0%50.0%16.3%0.0%—
Darius ErvinG11.00.00.00.0——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.

Games15-11

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

DateOpponentQuadResultOurs
11-07@Boston CollegeQ3#167L 77-79-2.5
11-14@St. Francis (PA)Q4#328W 80-77+4.1
11-22vsCanisiusQ4#245W 79-70+9.9
11-25@MonmouthQ4#347W 81-63+5.0
12-01@DelawareQ3#213W 74-67-3.7
12-04vsLafayetteQ4#243W 73-68+11.7
12-07@MiamiQ1#23L 105-107-12.6
12-17@SyracuseQ2#115L 63-78-5.8
12-20vsLehighQ4#274W 96-64+15.3
12-22@ColgateQ2#93W 91-80-7.6
12-29vsBinghamtonQ4#304W 86-70+19.4
01-01@DartmouthQ4#271W 74-63+7.0
01-06vsPennsylvaniaQ3#130W 88-69+7.5
01-07vsPrincetonQ3#96L 68-75+3.4
01-13vsYaleQ2#69W 94-82+1.2
01-16@ColumbiaQ4#343W 102-85+11.9
01-21@HarvardQ3#144L 89-95-1.4
01-28vsBrownQ4#163W 80-73+9.4
02-03@PrincetonQ2#96L 82-89-3.4
02-04@PennsylvaniaQ2#130L 86-92-1.0
02-11@BrownQ3#163L 66-80+0.5
02-17vsDartmouthQ4#271W 95-83+13.6
02-18vsHarvardQ3#144L 56-73+6.3
02-25@YaleQ1#69L 58-76-8.8
03-04vsColumbiaQ4#343W 87-73+18.7
03-11nYaleQ2#69L 60-80-5.9

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.