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Syracuse

Also known as: Syracuse Orange, Syracuse
Program History

2014 Team Stats (28 games)

67.5
PPG
58.6
Opp
+8.9
Margin
44.7%
FG%
33.3%
3P%
70.6%
FT%
34.4
RPG
12.2
APG
9.1
TO
-
Est. poss./game
69.9
Adj PPG
56.2
Adj Opp PPG
#23
Scoring Rank

Model Outputs

2013-2014
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More โ†’ 1257 (#28) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1329 (#12) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1080 (#63) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ +14.7 (#24) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +13.0 (#28) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.831 (#25) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +23.6 More โ†’ 0.939 (#22) AdjNet +23.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +23.8 More โ†’ 0.939 (#22) AdjNet +23.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.9 | AdjD 56.2 More โ†’ 0.776 (#23) AdjO 69.9 | AdjD 56.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.5 | AdjD 57.5 More โ†’ 0.674 (#35) AdjO 65.5 | AdjD 57.5
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More โ†’ 0.826 (#23) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More โ†’ 0.810 (#26) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 34 More โ†’ 1308 (#17) RD 114 | GP 34

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 vs Cornell Big Red W 82 - 60
2013-11-12 vs Fordham Rams W 89 - 74
2013-11-16 vs Colgate Raiders W 69 - 50
2013-11-18 vs St. Francis Brooklyn Terriers W 56 - 50
2013-11-25 vs Minnesota Golden Gophers W 75 - 67
2013-11-26 vs California Golden Bears W 92 - 81
2013-11-27 @ Baylor Bears W 74 - 67
2013-12-03 vs Indiana Hoosiers W 69 - 52
2013-12-07 vs Binghamton Bearcats W 93 - 65
2013-12-15 @ St. John's Red Storm W 68 - 63
2013-12-20 vs High Point Panthers W 75 - 54
2013-12-28 vs Villanova Wildcats W 78 - 62
2013-12-31 vs Eastern Michigan Eagles W 70 - 48
2014-01-04 vs Miami Hurricanes W 49 - 44
2014-01-07 @ Virginia Tech Hokies W 72 - 52
2014-01-11 vs North Carolina Tar Heels W 57 - 45
2014-01-13 @ Boston College Eagles W 69 - 59
2014-01-18 vs Pittsburgh Panthers W 59 - 54
2014-01-25 @ Miami Hurricanes W 64 - 52
2014-01-29 @ Wake Forest Demon Deacons W 67 - 57
2014-02-01 vs Duke Blue Devils W 91 - 89
2014-02-03 vs Notre Dame Fighting Irish W 61 - 55
2014-02-09 vs Clemson Tigers W 57 - 44
2014-02-12 @ Pittsburgh Panthers W 58 - 56
2014-02-15 vs NC State Wolfpack W 56 - 55
2014-02-19 vs Boston College Eagles L 59 - 62
2014-02-22 @ Duke Blue Devils L 60 - 66
2014-02-24 @ Maryland Terrapins W 57 - 55
2014-03-01 @ Virginia Cavaliers L 56 - 75
2014-03-04 vs Georgia Tech Yellow Jackets L 62 - 67
2014-03-09 @ Florida State Seminoles W 74 - 58
2014-03-14 vs NC State Wolfpack L 63 - 66
2014-03-20 vs Western Michigan Broncos W 77 - 53
2014-03-22 vs Dayton Flyers L 53 - 55

2014 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
C.J. Fair C.J. Fair F 33 37.8 16.8 6.5 1.2 1.3 0.8 2.5 12.7 11.3 254 34 7.5 8.3 43.9 27.8 71.7 0.77 59.1 46.3
Tyler Ennis Tyler Ennis G 33 35.8 13.3 3.5 5.6 2.2 0.2 1.7 9.2 13.8 230 34 6.8 7.9 42.1 33.3 75.0 3.81 61.7 45.9
Trevor Cooney Trevor Cooney G 33 32.3 12.1 2.1 1.2 1.8 0.1 0.8 8.2 8.4 202 34 5.9 7.7 38.7 35.4 82.6 0.04 69.0 51.7
Jerami Grant Jerami Grant F 31 31.5 12.0 6.7 1.4 0.8 0.5 1.2 7.2 13.1 242 32 7.6 10.1 50.4 0.0 69.4 5.46 64.9 50.4
Rakeem Christmas Rakeem Christmas F 33 23.7 6.0 5.1 0.7 0.5 1.9 0.8 3.2 10.3 116 34 3.4 6.0 61.5 0 70.9 -0.48 76.8 61.5
DaJuan Coleman DaJuan Coleman C 12 12.6 3.5 4.0 0.2 0.3 0.5 0.9 2.0 5.7 48 13 3.7 11.9 50.0 0 53.8 0.59 70.7 50.0
Michael Gbinije Michael Gbinije F 33 14.4 3.3 1.7 1.2 0.7 0.2 0.5 2.1 4.6 122 34 3.6 10.1 37.7 34.2 72.4 1.4 67.3 47.1
Ron Patterson Ron Patterson G 10 5.4 2.8 0.7 0.5 0.4 0.0 0.3 2.2 1.9 15 10 1.5 11.8 40.9 42.9 0.0 -0.23 60.0 54.5
Tyler Roberson Tyler Roberson F 20 8.1 2.1 1.9 0.2 0.2 0.2 0.3 1.6 2.8 5 20 0.2 1.3 34.4 0.0 68.2 -3.39 51.6 34.4
B. Keita B. Keita C 31 15.6 1.8 3.8 0.3 0.3 1.0 0.7 1.2 5.3 137 32 4.3 11.7 45.9 0 45.5 0.71 66.9 45.9
B.J. Johnson B.J. Johnson G 10 5.5 1.4 0.9 0.2 0.1 0.3 0.4 1.9 0.6 6 10 0.6 4.6 15.8 7.7 0 -1.91 36.8 18.4
Nolan Hart Nolan Hart G 4 1.0 0.2 0.5 0.2 0.0 0.0 0.0 0.5 0.5 - - - - 0.0 0.0 50.0 -2.92 17.4 0.0
Russ DeRemer Russ DeRemer G 4 1.5 0.0 0.0 0.0 0.0 0.0 0.2 0.2 -0.5 - - - - 0.0 0.0 0 -2.92 0.0 0.0
Albert Nassar Albert Nassar F 4 1.5 0.0 1.0 0.0 0.0 0.0 0.0 0.5 0.5 - - - - 0.0 0.0 0 -2.92 0.0 0.0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG