Benedictine College Ravens
Also known as: Benedictine College Ravens
Program History
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 → | 956 (#644) | - |
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 926 (#798) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 955 (#714) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 951 (#737) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 993 (#371) | HCA +147 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 989 (#414) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.1 (#386) | HCA +3.0 |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -9.9 (#733) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.0 (#347) | HCA +3.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.1 (#522) | HCA +3.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.490 (#248) | AdjO 64.7 | AdjD 65.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.420 (#489) | AdjO 63.8 | AdjD 67.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.437 (#329) | 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 → | 0.201 (#524) | 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 → | 0.443 (#314) | 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 → | 0.238 (#525) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 850 (#501) | RD 350 | GP 1 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 788 (#556) | RD 350 | GP 2 |
2013 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2012-12-18 | @ | Omaha Mavericks | L | 70 - 74 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Charlie Wallrapp
|
F | 1 | 33.0 | 18.0 | 7.0 | 1.0 | 0.0 | 0.0 | 3.0 | 0.0 | 23.0 | - | - | - | 0 | 0 | 0 | -0.17 | 0 | 0 |
T.J. Stevens
|
F | 1 | 19.0 | 9.0 | 5.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Brett Fisher
|
G | 1 | 12.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | 0.21 | 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