Valparaiso Beacons
2014 Team Stats (3 games)
59.0
PPG
78.4
Opp
-17.8
Margin
37.3%
FG%
38.8%
3P%
86.0%
FT%
31.7
RPG
12.3
APG
20.3
TO
77.6
Pace
Model Outputs
2013-2014
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 → | 611 (#631) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 760 (#621) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.4 (#358) | HCA +3.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.203 (#326) | - |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-16 | @ | Notre Dame Fighting Irish | L | 46 - 96 |
| 2013-11-29 | @ | Florida International Panthers | L | 47 - 65 |
| 2013-12-13 | vs | Butler Bulldogs | L | 50 - 65 |
| 2013-12-31 | vs | South Dakota Coyotes | L | 70 - 81 |
| 2014-03-08 | @ | Wright State Raiders | L | 80 - 101 |
| 2014-03-10 | @ | Detroit Mercy Titans | W | 76 - 69 |
| 2014-03-12 | @ | Green Bay Phoenix | L | 55 - 72 |
2014 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. Harris
|
G | 2 | 32.5 | 16.0 | 5.5 | 5.0 | 2.0 | 0.5 | 4.5 | 11.5 | 13.0 | - | - | - | 43.5 | 52.9 | 75.0 | - | 64.6 | 63.0 |
L. Horton
|
F | 3 | 23.3 | 14.3 | 3.0 | 0.7 | 0.7 | 0.3 | 2.0 | 8.7 | 8.3 | - | - | - | 53.8 | 37.5 | 100.0 | - | 68.7 | 59.6 |
C. Richardson
|
G | 3 | 30.0 | 10.3 | 5.7 | 1.7 | 2.0 | 0.3 | 3.7 | 8.7 | 7.7 | - | - | - | 30.8 | 38.5 | 83.3 | - | 49.6 | 40.4 |
J. Wiedemann
|
G | 3 | 29.3 | 7.0 | 2.0 | 1.7 | 0.7 | 0.3 | 3.3 | 6.7 | 1.7 | - | - | - | 40.0 | 41.7 | 0 | - | 52.5 | 52.5 |
L. Miller
|
G | 3 | 31.0 | 5.7 | 4.0 | 2.0 | 0.7 | 0.0 | 2.3 | 7.7 | 2.3 | - | - | - | 26.1 | 25.0 | 75.0 | - | 34.3 | 30.4 |
I. Gay
|
G | 3 | 24.7 | 5.3 | 1.7 | 2.0 | 0.7 | 0.3 | 2.0 | 4.7 | 3.3 | - | - | - | 35.7 | 33.3 | 100.0 | - | 50.8 | 42.9 |
S. Karungi
|
F | 3 | 22.0 | 4.3 | 5.3 | 0.7 | 0.0 | 0.3 | 2.0 | 4.7 | 4.0 | - | - | - | 35.7 | 0 | 75.0 | - | 41.2 | 35.7 |
F. Miller
|
G | 3 | 8.0 | 1.3 | 1.3 | 0.3 | 0.3 | 0.0 | 0.3 | 1.3 | 1.7 | - | - | - | 25.0 | 0.0 | 100.0 | - | 41.0 | 25.0 |
E. Hamlet
|
G | 3 | 9.7 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.7 | 1.0 | -1.7 | - | - | - | 0.0 | 0.0 | 0.0 | - | 0.0 | 0.0 |
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