Creighton Bluejays
2023 Team Stats (33 games)
76.8
PPG
69.0
Opp
+6.9
Margin
46.9%
FG%
35.3%
3P%
79.2%
FT%
37.0
RPG
15.8
APG
11.7
TO
77.6
Pace
Model Outputs
2022-2023
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 → | 1325 (#58) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1428 (#25) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +41.0 (#16) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.688 (#16) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.768 (#35) | NetEff +10.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.892 (#6) | AdjNet +18.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.893 (#6) | AdjNet +18.4 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ryan Kalkbrenner
|
- | 31 | 33.0 | 16.0 | 6.4 | 1.2 | 0.6 | 2.1 | 1.6 | 9.1 | 15.7 | - | - | - | 68.4 | 29.4 | 79.4 | - | 75.4 | 69.3 |
T. Alexander
|
- | 33 | 32.5 | 13.3 | 4.4 | 2.5 | 1.1 | 0.4 | 1.5 | 10.2 | 10.1 | - | - | - | 44.7 | 37.6 | 81.8 | - | 57.7 | 52.5 |
B. Scheierman
|
- | 33 | 32.9 | 12.6 | 8.0 | 3.2 | 1.0 | 0.2 | 2.2 | 10.0 | 12.9 | - | - | - | 41.4 | 35.8 | 87.5 | - | 57.9 | 52.4 |
Ryan Nembhard
|
- | 33 | 34.3 | 12.4 | 4.2 | 4.7 | 0.7 | 0.1 | 2.1 | 9.8 | 10.2 | - | - | - | 42.7 | 36.2 | 87.3 | 0.03 | 57.2 | 50.0 |
A. Kaluma
|
- | 33 | 29.2 | 11.5 | 6.0 | 1.8 | 0.5 | 0.6 | 2.0 | 8.8 | 9.5 | - | - | - | 42.2 | 27.9 | 75.0 | - | 55.3 | 47.6 |
F. Farabello
|
- | 30 | 15.4 | 3.4 | 1.2 | 0.7 | 0.4 | 0.0 | 0.6 | 3.2 | 2.1 | - | - | - | 37.9 | 35.1 | 50.0 | - | 52.2 | 52.1 |
F. King
|
- | 33 | 7.7 | 2.8 | 2.0 | 0.1 | 0.0 | 0.6 | 0.5 | 2.1 | 3.1 | 22 | 1.8 | 2.4 | 57.4 | 0 | 57.7 | 0.95 | 58.5 | 57.4 |
M. Miller
|
- | 32 | 8.9 | 2.4 | 1.6 | 0.2 | 0.1 | 0.0 | 0.2 | 2.0 | 2.0 | 33 | 2.8 | 4.9 | 39.7 | 38.8 | 70.0 | 0.9 | 56.4 | 54.8 |
Z. Yates
|
F | 9 | 3.2 | 1.6 | 0.7 | 0.3 | 0.3 | 0.1 | 0.1 | 1.3 | 1.6 | -15 | -1.7 | -9.2 | 33.3 | 40.0 | 100.0 | -0.12 | 54.3 | 50.0 |
B. Shtolzberg
|
G | 13 | 6.2 | 1.6 | 0.9 | 0.7 | 0.3 | 0.0 | 0.2 | 1.7 | 1.6 | - | - | - | 36.4 | 18.2 | 100.0 | - | 45.0 | 40.9 |
Shereef Mitchell
|
G | 33 | 6.9 | 1.5 | 0.5 | 0.5 | 0.4 | 0.0 | 0.3 | 1.3 | 1.3 | - | - | - | 43.2 | 29.2 | 66.7 | - | 53.2 | 51.1 |
Sami Osmani
|
- | 9 | 2.4 | 0.7 | 0.7 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | 0.8 | - | - | - | 42.9 | 0.0 | 0 | - | 42.9 | 42.9 |
E. Young
|
- | 7 | 1.6 | 0.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
J. Christofilis
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 14 | 0.9 | 2.2 | - | - | - | 0.85 | - | - |
J. Green
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -9 | -0.9 | -0.9 | - | - | - | 0.62 | - | - |
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