Madonna Crusaders
Also known as: Madonna Crusaders
Program History
2013 Team Stats (1 games)
57.0
PPG
75.0
Opp
-18.0
Margin
35.2%
FG%
36.4%
3P%
87.5%
FT%
35.0
RPG
15.0
APG
21.0
TO
78.5
Pace
Model Outputs
2012-2013
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 → | 955 (#651) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 947 (#767) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 996 (#308) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.3 (#528) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.4 (#393) | HCA +3.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.484 (#279) | AdjO 65.2 | AdjD 65.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.371 (#376) | 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 → | 0.392 (#365) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 940 (#279) | RD 350 | GP 1 |
2013 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2012-11-24 | @ | Eastern Michigan Eagles | L | 57 - 75 |
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Schuba
|
G | 1 | 34.0 | 23.0 | 5.0 | 1.0 | 1.0 | 0.0 | 2.0 | 24.0 | 4.0 | - | - | - | 29.2 | 31.8 | 100.0 | - | 46.2 | 43.8 |
F. Williams
|
F | 1 | 31.0 | 13.0 | 4.0 | 1.0 | 0.0 | 0.0 | 2.0 | 10.0 | 6.0 | - | - | - | 50.0 | 60.0 | 0 | - | 65.0 | 65.0 |
B. Naubert
|
G | 1 | 35.0 | 6.0 | 5.0 | 6.0 | 2.0 | 0.0 | 5.0 | 4.0 | 10.0 | - | - | - | 50.0 | 0 | 100.0 | - | 61.5 | 50.0 |
E. Stephens
|
F | 1 | 23.0 | 5.0 | 4.0 | 2.0 | 2.0 | 0.0 | 0.0 | 2.0 | 11.0 | - | - | - | 50.0 | 0 | 75.0 | - | 66.5 | 50.0 |
M. Jenkins
|
G | 1 | 34.0 | 3.0 | 3.0 | 2.0 | 0.0 | 0.0 | 2.0 | 3.0 | 3.0 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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