Waldorf College Warriors
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 → | 895 (#679) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 863 (#714) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#278) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -22.9 (#832) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -22.4 (#589) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.441 (#489) | AdjO 67.2 | AdjD 69.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.131 (#603) | 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 → | 0.174 (#599) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 924 (#378) | RD 350 | GP 1 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-03 | @ | South Dakota Coyotes | L | 37 - 93 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Helming
|
- | 1 | 25.0 | 7.0 | 4.0 | 0.0 | 0.0 | 2.0 | 2.0 | 0.0 | 11.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Johnson
|
- | 1 | 27.0 | 7.0 | 4.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 15.0 | 19 | 1.5 | 15.1 | 0 | 0 | 0 | 0.17 | 0 | 0 |
L. Smith
|
- | 1 | 27.0 | 6.0 | 6.0 | 1.0 | 0.0 | 0.0 | 3.0 | 0.0 | 10.0 | -239 | -8.5 | -13.9 | 0 | 0 | 0 | 0.81 | 0 | 0 |
M. Zevenbergen
|
- | 1 | 4.0 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Q. Minor Jr.
|
- | 1 | 23.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | -2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Daing
|
- | 1 | 15.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
B. Lenzmeier
|
- | 1 | 6.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
B. Farr
|
- | 1 | 25.0 | 2.0 | 3.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 5.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Bell
|
- | 1 | 10.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Wiggins
|
- | 1 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
N. Miller
|
- | 1 | 16.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Furgeson
|
- | 1 | 12.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
G. Noble
|
- | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Gibson
|
- | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 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