Colorado State
2019 Team Stats (5 games)
67.8
PPG
87.4
Opp
-19.6
Margin
47.8%
FG%
36.9%
3P%
63.9%
FT%
28.8
RPG
14.8
APG
15.4
TO
-
Est. poss./game
72.3
Adj PPG
72.8
Adj Opp PPG
#169
Scoring Rank
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 โ | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 884 (#257) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 919 (#296) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -0.4 (#166) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -0.8 (#178) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.442 (#201) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.525 (#157) | AdjNet +0.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.526 (#157) | AdjNet +0.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.489 (#169) | AdjO 72.3 | AdjD 72.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.492 (#179) | AdjO 70.9 | AdjD 71.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.423 (#213) | 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 โ | 0.424 (#217) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 863 (#271) | RD 137 | GP 31 |
2019 Schedule & Results
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nico Carvacho
|
C | 26 | 31.2 | 16.1 | 12.7 | 2.3 | 0.5 | 0.7 | 2.1 | 4.2 | 26.0 | 25 | 21 | 1.2 | 1.7 | 52.8 | 0.0 | 46.2 | 3.15 | 167.4 | 52.8 |
J.D. Paige
|
G | 25 | 33.1 | 14.2 | 3.5 | 3.1 | 1.2 | 0.2 | 1.7 | 3.9 | 16.6 | -21 | 20 | -1.1 | -1.4 | 49.5 | 47.7 | 79.2 | 0.14 | 165.5 | 60.3 |
Anthony Masinton-Bonner
|
G | 20 | 25.2 | 10.9 | 2.4 | 1.3 | 0.8 | 0.1 | 1.4 | 3.1 | 11.0 | 21 | 17 | 1.2 | 2.0 | 53.2 | 52.8 | 83.3 | -0.71 | 162.8 | 68.5 |
Adam Thistlewood
|
F | 26 | 29.3 | 9.3 | 3.0 | 0.9 | 0.6 | 0.2 | 0.9 | 2.4 | 10.7 | -13 | 21 | -0.6 | -1.0 | 36.5 | 30.8 | 84.6 | -0.16 | 176.8 | 46.0 |
Kendle Moore
|
- | 26 | 29.0 | 9.0 | 2.4 | 2.7 | 1.4 | 0.1 | 1.8 | 2.7 | 11.2 | -33 | 21 | -1.6 | -2.3 | 53.6 | 41.9 | 82.4 | -2.03 | 153.6 | 63.0 |
Kris Martin
|
G | 22 | 29.4 | 8.5 | 3.5 | 3.0 | 0.7 | 0.5 | 2.0 | 3.0 | 11.0 | -67 | 17 | -3.9 | -6.0 | 44.8 | 34.3 | 50.0 | -2.5 | 121.9 | 53.7 |
Lorenzo Jenkins
|
F | 8 | 18.5 | 7.1 | 2.5 | 0.9 | 0.5 | 0.4 | 0.9 | 4.2 | 6.2 | -9 | 10 | -0.9 | -2.1 | 35.3 | 37.5 | 100.0 | -3.82 | 81.7 | 44.1 |
Hyron Edwards
|
G | 18 | 21.0 | 6.6 | 2.8 | 2.7 | 1.3 | 0.1 | 1.9 | 2.4 | 9.2 | 41 | 11 | 3.7 | 7.0 | 25.6 | 16.7 | 70.0 | 2.77 | 113.9 | 27.9 |
Logan Ryan
|
F | 22 | 7.9 | 2.6 | 1.5 | 0.5 | 0.3 | 0.4 | 0.6 | 0.5 | 4.2 | -15 | 16 | -0.9 | -5.0 | 70.0 | 0 | 0 | -2.56 | 285.0 | 70.0 |
Robbie Berwick
|
G | 12 | 7.8 | 1.4 | 0.9 | 1.1 | 0.2 | 0.1 | 0.7 | 0.7 | 2.3 | 25 | 9 | 2.8 | 12.2 | 12.5 | 0.0 | 0 | -0.19 | 106.2 | 12.5 |
Zo Tyson
|
F | 11 | 4.9 | 1.0 | 1.1 | 0.5 | 0.0 | 0.4 | 0.5 | 0.5 | 2.0 | -18 | 12 | -1.5 | -12.1 | 60.0 | 0 | 55.6 | -2.17 | 61.4 | 60.0 |
Sam Bannec
|
G | 8 | 2.0 | 0.8 | 0.4 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 1.0 | 2 | 6 | 0.3 | 7.0 | 100.0 | 100.0 | 0 | -0.85 | 300.0 | 150.0 |
Jack Schoemann
|
F | 8 | 2.6 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.4 | -0.1 | 9 | 6 | 1.5 | 22.0 | 0.0 | 0.0 | 0 | 0.3 | 66.7 | 0.0 |
Juan Sabino
|
G | 2 | 2.5 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | - | 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