Lewis Clark State Warriors
2013 Team Stats (1 games)
57.0
PPG
104.0
Opp
-47.0
Margin
37.3%
FG%
36.4%
3P%
71.4%
FT%
20.0
RPG
10.0
APG
20.0
TO
82.1
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 → | 919 (#835) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 944 (#782) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 999 (#195) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.3 (#553) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -8.0 (#439) | HCA +3.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.472 (#352) | AdjO 65.3 | AdjD 66.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.363 (#382) | 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 → | 0.394 (#360) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 969 (#239) | RD 350 | GP 1 |
2013 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2012-11-29 | @ | Gonzaga Bulldogs | L | 57 - 104 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Marshall
|
F | 1 | 19.0 | 7.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 5.0 | -21 | -0.6 | -0.8 | 75.0 | 0 | 50.0 | 0.02 | 71.7 | 75.0 |
N. Fromm
|
F | 1 | 25.0 | 6.0 | 3.0 | 0.0 | 0.0 | 0.0 | 2.0 | 11.0 | -4.0 | - | - | - | 27.3 | 0 | 0 | - | 27.3 | 27.3 |
R. Ellis
|
G | 1 | 24.0 | 6.0 | 4.0 | 3.0 | 0.0 | 0.0 | 1.0 | 7.0 | 5.0 | - | - | - | 42.9 | 0.0 | 0 | - | 42.9 | 42.9 |
J. Champoux
|
G | 1 | 27.0 | 5.0 | 1.0 | 3.0 | 0.0 | 1.0 | 4.0 | 7.0 | -1.0 | - | - | - | 28.6 | 50.0 | 0 | - | 35.7 | 35.7 |
J. Moquino
|
G | 1 | 17.0 | 3.0 | 2.0 | 0.0 | 1.0 | 0.0 | 2.0 | 5.0 | -1.0 | - | - | - | 20.0 | 33.3 | 0 | - | 30.0 | 30.0 |
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