Columbia Lions
2013 Team Stats (6 games)
57.7
PPG
60.5
Opp
+1.9
Margin
38.7%
FG%
28.9%
3P%
68.5%
FT%
32.2
RPG
9.7
APG
9.5
TO
69.8
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 → | 1374 (#119) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1174 (#252) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.1 (#272) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.385 (#74) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.316 (#139) | NetEff -6.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.113 (#105) | AdjNet -17.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.110 (#105) | AdjNet -18.1 |
2013 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Barbour
|
G | 27 | 32.6 | 12.1 | 2.3 | 4.0 | 1.6 | 0.1 | 1.4 | 3.8 | 14.9 | - | - | - | 35.3 | 25.7 | 86.5 | - | 130.9 | 39.7 |
G. Mullins
|
G | 25 | 28.1 | 9.7 | 3.2 | 1.6 | 1.0 | 0.2 | 1.5 | 3.0 | 11.2 | - | - | - | 44.0 | 38.1 | 87.5 | - | 147.5 | 54.7 |
A. Rosenberg
|
F | 28 | 27.0 | 9.5 | 4.2 | 1.9 | 0.7 | 0.1 | 1.9 | 3.1 | 11.5 | - | - | - | 33.7 | 24.1 | 70.5 | - | 125.8 | 37.8 |
S. Frankoski
|
G | 27 | 21.6 | 8.9 | 1.1 | 0.6 | 0.3 | 0.0 | 1.1 | 3.0 | 6.7 | - | - | - | 45.0 | 47.9 | 80.0 | - | 146.0 | 59.4 |
M. Cisco
|
C | 28 | 23.6 | 8.1 | 5.7 | 0.8 | 0.4 | 0.7 | 1.1 | 3.0 | 11.6 | - | - | - | 41.0 | 0 | 60.0 | - | 124.2 | 41.0 |
M. Lo
|
G | 24 | 20.0 | 6.2 | 1.8 | 1.2 | 0.8 | 0.4 | 1.0 | 2.2 | 7.2 | - | - | - | 48.1 | 33.3 | 66.7 | - | 134.7 | 55.6 |
C. Osetkowski
|
C | 25 | 15.6 | 3.9 | 3.3 | 0.7 | 0.6 | 0.7 | 0.5 | 1.2 | 7.5 | - | - | - | 36.7 | 50.0 | 72.2 | - | 127.9 | 38.3 |
J. Daniels
|
F | 27 | 16.5 | 2.7 | 4.6 | 0.6 | 0.4 | 0.2 | 1.1 | 1.0 | 6.4 | - | - | - | 51.9 | 0 | 66.7 | - | 130.6 | 51.9 |
B. Gilson
|
F | 6 | 5.8 | 2.2 | 0.7 | 0.2 | 0.0 | 0.0 | 0.2 | 0.5 | 2.3 | - | - | - | 0.0 | 0.0 | 0 | - | 216.7 | 0.0 |
I. Cohen
|
G | 24 | 13.7 | 2.0 | 2.2 | 1.0 | 0.2 | 0.1 | 0.6 | 0.8 | 4.2 | - | - | - | 52.6 | 0.0 | 44.4 | - | 104.5 | 52.6 |
Z. En'Wezoh
|
F | 12 | 10.8 | 2.0 | 1.6 | 0.5 | 0.7 | 0.5 | 0.5 | 0.2 | 4.5 | - | - | - | 33.3 | 0.0 | 0.0 | - | 309.3 | 33.3 |
P. Quinn
|
G | 1 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Scrivano
|
F | 11 | 7.5 | 1.9 | 1.5 | 0.0 | 0.0 | 0.0 | 0.7 | 1.0 | 1.7 | - | - | - | 36.4 | 0 | 0 | - | 95.5 | 36.4 |
N. Springwater
|
G | 14 | 5.4 | 0.9 | 0.1 | 0.2 | 0.3 | 0.1 | 0.4 | 0.4 | 0.7 | - | - | - | 50.0 | 60.0 | 0 | - | 100.0 | 75.0 |
S. Ozeir
|
F | 4 | 2.8 | 0.5 | 0.8 | 0.0 | 0.0 | 0.0 | 0.5 | 0.2 | 0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 100.0 | 0.0 |
D. Kowalski
|
G | 7 | 5.1 | 0.3 | 0.6 | 0.3 | 0.3 | 0.0 | 0.7 | 0.0 | 0.7 | - | - | - | 0 | 0 | 0.0 | - | 227.3 | 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