Colorado State Rams
2019 Team Stats (5 games)
54.8
PPG
65.0
Opp
-10.2
Margin
40.3%
FG%
29.7%
3P%
81.5%
FT%
28.8
RPG
8.8
APG
12.6
TO
69.0
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 → | 1250 (#77) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1206 (#97) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.7 (#102) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.908 (#49) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-25 | vs | Cornell Big Red | W | 56 - 53 |
| 2018-12-09 | vs | Arizona State Sun Devils | L | 39 - 70 |
| 2019-02-06 | @ | Nevada Wolf Pack | L | 57 - 68 |
| 2019-02-27 | vs | Boise State Broncos | L | 63 - 72 |
| 2019-03-10 | @ | Utah State Aggies | L | 59 - 62 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Mounsey
|
G | 5 | 38.4 | 13.0 | 4.0 | 0.6 | 0.2 | 0.8 | 1.8 | 11.4 | 5.4 | - | - | - | 40.4 | 35.1 | 75.0 | 0.7 | 53.7 | 51.8 |
L. Devos
|
G | 5 | 38.0 | 12.0 | 4.2 | 2.2 | 0.6 | 0.4 | 2.6 | 12.8 | 4.0 | - | - | - | 39.1 | 0.0 | 76.9 | 0.02 | 43.0 | 39.1 |
T. Neubert
|
NA | 5 | 30.8 | 10.6 | 4.0 | 1.0 | 0.8 | 0.6 | 1.6 | 7.8 | 7.6 | - | - | - | 48.7 | 37.5 | 100.0 | 0.75 | 59.8 | 52.6 |
G. Colaivalu
|
G | 3 | 38.3 | 10.0 | 3.7 | 7.0 | 1.0 | 0.3 | 4.3 | 6.7 | 11.0 | - | - | - | 45.0 | 0.0 | 85.7 | 0.91 | 57.3 | 45.0 |
M. Hamm
|
G | 5 | 29.4 | 4.6 | 4.2 | 0.2 | 1.6 | 0.4 | 1.4 | 4.8 | 4.8 | - | - | - | 37.5 | 33.3 | 50.0 | 0.8 | 46.2 | 45.8 |
L. Svanholm
|
F | 5 | 10.2 | 3.0 | 1.4 | 0.0 | 0.2 | 0.4 | 0.4 | 3.4 | 1.2 | 3 | 0.1 | 0.9 | 41.2 | 0.0 | 100.0 | 0.62 | 43.0 | 41.2 |
L. Davis
|
C | 5 | 11.2 | 2.8 | 3.2 | 0.0 | 0.0 | 0.6 | 0.6 | 5.0 | 1.0 | - | - | - | 28.0 | 0 | 0.0 | 0.03 | 27.0 | 28.0 |
L. Brocke
|
G | 5 | 16.8 | 2.0 | 1.8 | 0.4 | 0.6 | 0.2 | 0.8 | 1.8 | 2.4 | - | - | - | 33.3 | 25.0 | 100.0 | 0.65 | 50.6 | 44.4 |
T. Mole
|
F | 5 | 7.4 | 0.8 | 0.4 | 0.2 | 0.2 | 0.0 | 0.2 | 0.6 | 0.8 | - | - | - | 66.7 | 0.0 | 0 | 0.94 | 66.7 | 66.7 |
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