DePaul
2022 Team Stats (11 games)
65.3
PPG
72.2
Opp
+0.3
Margin
38.9%
FG%
29.1%
3P%
70.4%
FT%
36.5
RPG
9.0
APG
10.9
TO
78.1
Pace
Model Outputs
2021-2022
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 β | 1234 (#110) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 1169 (#181) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 970 (#522) | HCA +115 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 945 (#560) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | +26.0 (#135) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +17.5 (#95) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +5.3 (#274) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β | 0.415 (#75) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More β | 0.234 (#207) | NetEff -10.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.479 (#65) | AdjNet -0.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.479 (#65) | AdjNet -0.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.539 (#194) | AdjO 71.6 | AdjD 69.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.475 (#353) | AdjO 70.2 | AdjD 71.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.785 (#133) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.570 (#278) | 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. More β | 0.741 (#140) | 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. More β | 0.536 (#280) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 1090 (#153) | RD 136 | GP 27 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 948 (#275) | RD 156 | GP 28 |
2022 Schedule & Results
2022 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Javon Freeman-Liberty
|
- | 12 | 34.7 | 20.4 | 6.4 | 3.2 | 1.7 | 0.0 | 1.8 | 9.0 | 20.8 | - | - | - | 43.5 | 36.1 | 76.7 | 1.84 | 96.5 | 49.5 |
David Jones Garcia
|
- | 16 | 30.1 | 14.8 | 7.8 | 2.1 | 1.5 | 1.0 | 2.1 | 10.7 | 14.4 | -21 | -1.3 | -2.6 | 42.1 | 31.2 | 65.2 | -0.51 | 65.2 | 48.0 |
A. Yetna
|
F | 1 | 21.0 | 12.0 | 5.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 21.0 | 94 | 3.0 | 5.1 | 0 | 0 | 0 | 0.77 | 0 | 0 |
B. Johnson
|
F | 17 | 34.1 | 10.6 | 6.6 | 0.6 | 0.6 | 0.2 | 1.4 | 6.6 | 10.6 | -95 | -1.4 | -2.4 | 34.8 | 24.3 | 69.1 | 0.09 | 66.1 | 38.8 |
N. Ongenda
|
- | 26 | 24.6 | 9.0 | 4.6 | 0.8 | 0.4 | 1.8 | 1.5 | 3.4 | 11.7 | -70 | -2.3 | -3.9 | 48.3 | 0 | 52.6 | -0.69 | 110.7 | 48.3 |
J. Terry
|
- | 25 | 31.2 | 8.2 | 3.1 | 3.0 | 0.5 | 0.1 | 1.9 | 3.9 | 9.0 | -20 | -0.7 | -1.0 | 35.7 | 23.4 | 84.2 | 0.32 | 96.8 | 41.3 |
J. Johnson
|
- | 8 | 22.5 | 7.0 | 2.1 | 0.4 | 0.5 | 0.9 | 1.1 | 4.0 | 5.8 | -43 | -8.6 | -31.6 | 40.6 | 40.0 | 80.0 | 1.56 | 72.5 | 50.0 |
C. McCauley
|
- | 16 | 16.0 | 5.3 | 2.8 | 0.8 | 0.7 | 0.1 | 0.2 | 3.0 | 6.3 | -22 | -0.8 | -1.8 | 43.8 | 33.3 | 88.9 | -0.01 | 81.8 | 54.2 |
D. BΓΆhm
|
F | 1 | 19.0 | 5.0 | 6.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 13.0 | -51 | -2.5 | -8.7 | 0 | 0 | 0 | -0.9 | 0 | 0 |
Y. Anei
|
- | 26 | 15.6 | 4.6 | 4.3 | 0.4 | 0.7 | 1.7 | 1.2 | 1.5 | 9.0 | 36 | 1.2 | 3.1 | 48.7 | 0.0 | 73.9 | 0.8 | 122.1 | 48.7 |
P. Gebrewhit
|
- | 17 | 20.9 | 3.6 | 1.4 | 1.2 | 0.4 | 0.2 | 0.8 | 3.4 | 2.6 | -18 | -0.6 | -1.0 | 28.1 | 24.3 | 75.0 | -0.1 | 51.2 | 36.0 |
B. Favre
|
- | 6 | 3.5 | 0.8 | 0.8 | 0.0 | 0.0 | 0.2 | 0.3 | 0.5 | 1.0 | -6 | -0.9 | -6.7 | 33.3 | 0.0 | 0 | -0.1 | 83.3 | 33.3 |
T. Grant-Foster
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
S. Medlock
|
G | 2 | 2.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Bolden
|
G | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -47 | -2.0 | -4.1 | 0 | 0 | 0 | -0.26 | 0 | 0 |
Nathaniel Stokes
|
F | 1 | 11.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -1.0 | -96 | -8.7 | -29.1 | 0.0 | 0 | 0 | -1.01 | 0.0 | 0.0 |
S. Sims
|
F | 1 | 15.0 | 0.0 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 5.0 | -25 | -1.9 | -10.8 | 0 | 0 | 0 | -0.39 | 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