Radford
2019 Team Stats (1 games)
62.0
PPG
59.0
Opp
+3.0
Margin
36.9%
FG%
28.6%
3P%
53.3%
FT%
44.0
RPG
10.0
APG
8.0
TO
-
Est. poss./game
70.2
Adj PPG
67.3
Adj Opp PPG
#134
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 | 1094 (#105) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1065 (#75) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +2.9 (#135) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +4.1 (#101) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.629 (#92) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.571 (#143) | AdjNet +2.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.571 (#143) | AdjNet +2.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.566 (#134) | AdjO 70.2 | AdjD 67.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.587 (#79) | AdjO 70.2 | AdjD 66.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.603 (#119) | 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 | 0.607 (#106) | 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 | 1083 (#108) | RD 145 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Mooney
|
F | 1 | 33.0 | 24.0 | 12.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 38.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Carlik Jones
|
- | 29 | 34.3 | 15.7 | 5.2 | 6.0 | 1.8 | 0.1 | 2.8 | 0.8 | 25.1 | 91 | 27 | 3.4 | 4.1 | 29.2 | 0.0 | 100.0 | -1.62 | 930.9 | 29.2 |
Ed Polite
|
ATH | 33 | 33.5 | 13.4 | 9.5 | 1.6 | 1.5 | 1.2 | 1.6 | 0.9 | 24.7 | 127 | 29 | 4.4 | 5.4 | 48.3 | 28.6 | 76.9 | 1.79 | 636.5 | 51.7 |
T. Gibbs
|
G | 1 | 39.0 | 11.0 | 1.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 17.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Travis Fields
|
G | 32 | 29.8 | 10.8 | 2.2 | 3.0 | 1.5 | 0.1 | 1.5 | 0.7 | 15.4 | 66 | 28 | 2.4 | 3.3 | 31.8 | 38.5 | 100.0 | -0.93 | 758.3 | 43.2 |
Donald Hicks
|
G | 30 | 28.9 | 8.7 | 3.6 | 1.2 | 0.5 | 0.1 | 1.1 | 0.6 | 12.4 | 111 | 26 | 4.3 | 6.1 | 44.4 | 46.7 | 0 | 0.7 | 722.2 | 63.9 |
Caleb Tanner
|
G | 33 | 20.4 | 8.2 | 1.1 | 0.7 | 0.2 | 0.0 | 0.6 | 0.6 | 9.0 | 96 | 29 | 3.3 | 6.8 | 47.6 | 50.0 | 50.0 | -0.1 | 595.3 | 71.4 |
D.J. Harvey
|
G | 1 | 20.0 | 7.0 | 4.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 13.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Devonnte Holland
|
C | 32 | 19.3 | 6.3 | 4.6 | 0.6 | 0.2 | 0.4 | 1.2 | 0.4 | 10.4 | 123 | 28 | 4.4 | 9.2 | 50.0 | 0 | 0.0 | 2.91 | 678.8 | 50.0 |
R. Pflueger
|
G | 1 | 33.0 | 6.0 | 4.0 | 3.0 | 1.0 | 3.0 | 2.0 | 0.0 | 15.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Mawdo Sallah
|
F | 33 | 18.9 | 5.6 | 4.2 | 0.4 | 0.2 | 1.0 | 0.8 | 0.6 | 9.9 | 50 | 29 | 1.7 | 3.9 | 57.1 | 0 | 75.0 | 0.97 | 406.4 | 57.1 |
P. Hubb
|
G | 1 | 27.0 | 5.0 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 9.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Robby Carmody
|
G | 1 | 19.0 | 5.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 6.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Devin Hutchinson
|
G | 33 | 9.8 | 4.1 | 1.2 | 0.5 | 0.1 | 0.0 | 0.5 | 0.5 | 4.8 | 64 | 28 | 2.3 | 9.4 | 29.4 | 30.8 | 75.0 | 1.13 | 359.8 | 41.2 |
Leroy Butts
|
F | 28 | 5.9 | 1.6 | 1.3 | 0.1 | 0.2 | 0.1 | 0.1 | 0.1 | 3.1 | 3 | 24 | 0.1 | 0.9 | 0.0 | 0 | 50.0 | -3.06 | 462.2 | 0.0 |
Cle'von Greene
|
G | 13 | 4.1 | 1.5 | 0.4 | 0.2 | 0.0 | 0.0 | 0.3 | 0.5 | 1.2 | 39 | 10 | 3.9 | 28.8 | 71.4 | 50.0 | 0 | 0.72 | 135.7 | 78.6 |
Josiah Jeffers
|
- | 11 | 5.1 | 1.0 | 0.6 | 0.9 | 0.2 | 0.3 | 0.2 | 0.4 | 2.5 | 32 | 9 | 3.6 | 30.3 | 50.0 | 33.3 | 100.0 | 0.62 | 123.9 | 62.5 |
Tristan Owens
|
F | 20 | 4.3 | 0.8 | 1.0 | 0.2 | 0.1 | 0.0 | 0.2 | 0.1 | 1.8 | 24 | 17 | 1.4 | 15.2 | 50.0 | 100.0 | 0.0 | -1.53 | 327.9 | 75.0 |
Anias Saunders
|
G | 5 | 2.2 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.4 | - | - | - | - | 0.0 | 0.0 | 0 | -1.75 | 150.0 | 0.0 |
John Caldwell
|
- | 6 | 5.8 | 0.3 | 0.8 | 0.7 | 0.0 | 0.0 | 0.3 | 0.2 | 1.3 | - | - | - | - | 0.0 | 0 | 0 | - | 100.0 | 0.0 |
E. Burns
|
F | 1 | 12.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | - | 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