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Syracuse

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.

ACC · 17-15 · AdjEM +5.2, 115 of 363 nationally.

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

Adjusted ratingas of 2023-04-03

Every team →
AdjEM
+5.2115 of 363
AdjO
107.282 of 363
AdjD
102.0173 of 363
AdjT
70.4128 of 363

Syracuse went from +4.9 (#107) on 2022-11-06 to +5.2 (#115) on 2023-04-03, peaking at +8.1 (#89) 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 · 32 complete games

Leaderboards →
eFG%
51.6%115
TOV%
16.1%95
OREB%
27.8%142
FTA/FGA
30.7%204
Opp eFG%
51.2%221
Opp TOV%
17.1%162
DREB%
69.3%323
Opp FTA/FGA
21.7%4

Résumé17-15 · against the ratings of 2023-04-03

Schedule strength
+4.996 of 363
Non-conference
-1.2229 of 363
Luck
+0.8%159 of 363
Wins above bubble
-5.7126 of 363
Quad 1
0-8
Quad 2
2-4
Quad 3
8-1
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.

Players16 who played · most minutes first

National leaders →
PlayerGMPGPPGRPGAPGeFG%TS%USG%3P%FT%
Joseph Girard IIIG3234.416.42.83.050.3%54.2%26.1%38.1%85.7%
Judah MintzG3233.316.32.34.646.7%52.4%27.4%30.3%75.1%
Jesse EdwardsC3232.614.510.31.659.4%62.5%21.3%100.0%72.9%
Benny WilliamsF3022.37.24.10.849.7%51.4%18.1%39.6%65.0%
Chris BellF3020.16.61.80.451.1%52.8%17.9%34.5%80.0%
Maliq BrownF2920.25.74.60.969.8%68.6%12.5%—56.7%
Justin TaylorG2916.84.21.80.749.5%52.1%13.0%39.3%76.2%
Symir TorrenceG3111.22.41.51.650.0%53.1%14.1%33.3%83.3%
Mounir HimaF277.41.01.70.146.2%47.6%8.7%—60.0%
John Bol AjakF139.31.11.91.545.5%48.9%9.8%—57.1%
Peter CareyC36.70.01.00.3——0.0%——
Niko RuffinG42.00.50.30.025.0%25.0%31.9%——
Anthony ClaytonG23.01.00.50.00.0%20.4%58.7%—50.0%
Arthur CordesG15.00.00.00.0——10.2%——
Shane FeldmanG21.00.00.00.0——0.0%——
Stephen KeatingF11.00.00.00.0——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.

Games17-15

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

DateOpponentQuadResultOurs
11-07vsLehighQ4#274W 90-72+12.1
11-15vsColgateQ3#93L 68-80+1.3
11-19vsNortheasternQ4#302W 76-48+13.0
11-21nRichmondQ3#136W 74-71-3.1
11-22nSt. John'sQ2#87L 69-76-3.3
11-26vsBryantQ4#178L 72-73+4.1
11-29@IllinoisQ1#32L 44-73-16.7
12-03@Notre DameQ3#152W 62-61-5.5
12-06vsOaklandQ4#264W 95-66+14.7
12-10vsGeorgetownQ4#225W 83-64+10.3
12-12vsMonmouthQ4#347W 86-71+17.0
12-17vsCornellQ3#139W 78-63+5.8
12-20vsPittsburghQ2#70L 82-84+3.7
12-31vsBoston CollegeQ4#167W 79-65+10.4
01-03@LouisvilleQ4#287W 70-69+7.1
01-07@VirginiaQ1#30L 66-73-13.1
01-11vsVirginia TechQ2#64W 82-72-2.2
01-14vsNotre DameQ3#152W 78-73+5.8
01-16@MiamiQ1#23L 78-82-10.5
01-21@Georgia TechQ3#164W 80-63-0.8
01-24vsNorth CarolinaQ2#38L 68-72-3.0
01-28@Virginia TechQ1#64L 70-85-8.6
01-30vsVirginiaQ1#30L 62-67-3.9
02-04@Boston CollegeQ3#167W 77-68+2.6
02-08@Florida StateQ3#203W 76-67+2.6
02-14vsNC StateQ2#56W 75-72-0.3
02-18vsDukeQ1#13L 55-77-2.8
02-22@ClemsonQ1#58L 73-91-6.7
02-25@PittsburghQ1#70L 82-99-6.5
02-28vsGeorgia TechQ4#164L 76-96+8.9
03-04vsWake ForestQ3#84W 72-63+0.9
03-08nWake ForestQ2#84L 74-77-2.9

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.