Columbia Lions
2019 Team Stats (4 games)
85.0
PPG
68.5
Opp
+16.5
Margin
47.7%
FG%
43.0%
3P%
68.5%
FT%
43.0
RPG
20.0
APG
14.0
TO
86.4
Pace
Model Outputs
2018-2019
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 → | 1299 (#113) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1084 (#284) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.0 (#307) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.441 (#39) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.178 (#95) | AdjNet -13.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.174 (#95) | AdjNet -13.6 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-18 | @ | Fordham Rams | L | 69 - 70 |
| 2018-11-25 | vs | St. Joseph's (NY) Bears | W | 85 - 38 |
| 2018-12-07 | vs | Bryant Bulldogs | W | 90 - 68 |
| 2019-02-08 | @ | Harvard Crimson | L | 96 - 98 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Stefanini
|
G | 4 | 31.2 | 20.5 | 4.0 | 2.8 | 2.0 | 0.0 | 2.8 | 14.0 | 12.5 | - | - | - | 55.4 | 63.2 | 66.7 | - | 66.9 | 66.1 |
Q. Adlesh
|
G | 4 | 32.8 | 14.5 | 2.2 | 3.8 | 2.0 | 0.0 | 2.5 | 11.5 | 8.5 | - | - | - | 43.5 | 48.4 | 75.0 | - | 60.7 | 59.8 |
J. Killingsworth
|
G | 4 | 22.8 | 10.5 | 3.5 | 1.8 | 0.5 | 0.0 | 0.0 | 6.5 | 9.8 | - | - | - | 57.7 | 58.8 | 50.0 | - | 75.6 | 76.9 |
P. Tape
|
F | 4 | 18.8 | 9.5 | 5.2 | 2.0 | 1.8 | 0.5 | 1.8 | 4.5 | 12.8 | - | - | - | 83.3 | 0 | 72.7 | - | 83.2 | 83.3 |
M. Smith
|
G | 3 | 20.7 | 8.0 | 2.7 | 4.3 | 1.0 | 0.0 | 1.3 | 8.3 | 6.3 | 17 | 1.5 | 4.1 | 32.0 | 12.5 | 87.5 | 0.83 | 42.1 | 34.0 |
R. Brumant
|
F | 4 | 26.8 | 7.5 | 10.0 | 1.2 | 1.0 | 1.0 | 1.0 | 6.0 | 13.8 | - | - | - | 54.2 | 20.0 | 33.3 | - | 53.6 | 56.2 |
M. Ellis
|
G | 3 | 15.3 | 6.3 | 3.0 | 1.0 | 0.0 | 0.0 | 1.3 | 5.3 | 3.7 | - | - | - | 50.0 | 37.5 | 0 | - | 59.4 | 59.4 |
I. Nweke
|
- | 4 | 9.5 | 4.0 | 3.2 | 0.2 | 0.0 | 0.0 | 0.5 | 3.2 | 3.8 | - | - | - | 46.2 | 0 | 100.0 | - | 54.2 | 46.2 |
T. Bibbs
|
G | 4 | 19.2 | 3.5 | 2.2 | 1.5 | 0.8 | 0.2 | 1.0 | 4.8 | 2.5 | - | - | - | 26.3 | 33.3 | 0 | - | 36.8 | 36.8 |
P. Barba
|
G | 4 | 14.0 | 3.2 | 2.0 | 1.5 | 0.2 | 0.2 | 1.2 | 3.5 | 2.5 | - | - | - | 35.7 | 42.9 | 0 | - | 46.4 | 46.4 |
L. Bolster
|
G | 1 | 16.0 | 2.0 | 1.0 | 1.0 | 2.0 | 0.0 | 2.0 | 4.0 | 0.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 20.5 | 0.0 |
C. Davis
|
G | 2 | 9.5 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.5 | 1.5 | 1.0 | 32 | 2.5 | 3.4 | 33.3 | 0.0 | 0 | 1.13 | 33.3 | 33.3 |
R. Hunter
|
G | 2 | 10.0 | 0.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.5 | 0.5 | 1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
B. Milstein
|
G | 1 | 12.0 | 0.0 | 2.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 2.0 | - | - | - | 0.0 | 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