VCU Rams
2026 Team Stats (28 games)
56.8
PPG
66.5
Opp
-9.7
Margin
37.6%
FG%
28.3%
3P%
64.9%
FT%
36.5
RPG
12.1
APG
17.6
TO
80.5
Pace
59.9
AdjO
65.6
AdjD
#231
Rank
Model Outputs
2025-2026
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 β | 784 (#311) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 910 (#241) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 901 (#527) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | -6.2 (#236) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +2.6 (#294) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β | 0.122 (#312) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More β | 0.182 (#272) | NetEff -11.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.250 (#241) | AdjNet -9.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.247 (#241) | AdjNet -9.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More β | 0.372 (#231) | AdjO 59.9 | AdjD 65.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.333 (#531) | AdjO 57.0 | AdjD 64.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.522 (#287) | 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 β | 0.460 (#304) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 879 (#445) | RD 156 | GP 28 |
2026 Schedule & Results
2026 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. Asare
|
G | 6 | 28.0 | 16.3 | 3.2 | 1.2 | 1.3 | 0.2 | 4.2 | 14.0 | 4.0 | 11 | 1.8 | 1.9 | 39.3 | 27.5 | 84.0 | 2.2 | 51.6 | 45.8 |
K. Knezevic
|
G | 26 | 28.0 | 10.5 | 6.2 | 1.9 | 1.1 | 0.4 | 3.2 | 11.1 | 5.8 | -49 | -2.2 | -3.0 | 36.1 | 28.2 | 63.0 | 0.74 | 43.8 | 41.5 |
C. Griffin
|
G | 28 | 25.1 | 8.0 | 1.9 | 2.1 | 0.8 | 0.1 | 2.4 | 8.0 | 2.5 | -85 | -3.7 | -7.2 | 36.6 | 26.2 | 76.8 | -1.67 | 45.0 | 40.4 |
M. White
|
F | 23 | 19.3 | 7.3 | 4.1 | 0.6 | 0.5 | 0.1 | 1.7 | 7.3 | 3.7 | 23 | 1.1 | 2.0 | 36.3 | 32.3 | 70.6 | 0.23 | 45.6 | 42.6 |
P. Augustin
|
G | 13 | 26.2 | 7.2 | 5.2 | 1.4 | 1.8 | 0.3 | 2.0 | 6.3 | 7.7 | 7 | 0.5 | 0.6 | 39.0 | 35.1 | 60.7 | 1.94 | 49.8 | 47.0 |
L. Ghaifan
|
F | 26 | 14.8 | 6.0 | 4.5 | 0.5 | 0.8 | 0.2 | 1.5 | 5.3 | 5.2 | -48 | -2.3 | -7.0 | 50.4 | 0 | 35.4 | 0.28 | 49.0 | 50.4 |
D. Preston
|
G | 20 | 26.6 | 5.2 | 4.1 | 1.7 | 1.4 | 0.1 | 1.4 | 6.9 | 4.2 | -66 | -3.0 | -4.8 | 31.9 | 8.8 | 59.1 | -0.59 | 35.2 | 33.0 |
A. Zachariah
|
F | 27 | 15.7 | 4.7 | 2.5 | 0.6 | 0.6 | 0.0 | 1.1 | 5.0 | 2.3 | -102 | -4.6 | -11.5 | 34.8 | 32.1 | 75.0 | -3.19 | 44.2 | 41.5 |
T. Williams
|
G | 23 | 21.3 | 4.0 | 2.1 | 1.9 | 1.1 | 0.1 | 1.6 | 4.6 | 3.2 | -11 | -0.5 | -1.5 | 32.4 | 30.3 | 62.5 | 0.55 | 42.8 | 41.9 |
L. Sotelo
|
F | 28 | 14.7 | 3.5 | 2.1 | 0.5 | 0.4 | 0.0 | 1.0 | 2.6 | 2.8 | - | - | - | 63.0 | 33.3 | 80.0 | - | 64.5 | 63.7 |
L. CrespΓn
|
G | 25 | 22.6 | 2.8 | 1.9 | 2.0 | 0.8 | 0.0 | 1.4 | 3.2 | 2.8 | - | - | - | 23.5 | 30.0 | 85.0 | - | 39.0 | 32.7 |
T. Tkachenko
|
G | 26 | 10.7 | 2.1 | 1.7 | 0.7 | 0.2 | 0.2 | 0.7 | 2.1 | 2.2 | -1 | -0.0 | -0.1 | 40.7 | 28.6 | 46.2 | 2.1 | 45.2 | 44.4 |
I. Whitelaw
|
F | 8 | 5.5 | 1.4 | 0.9 | 0.2 | 0.1 | 0.0 | 0.4 | 1.6 | 0.6 | 3 | 0.5 | 3.7 | 15.4 | 18.2 | 83.3 | 0.36 | 35.2 | 23.1 |
H. Doumbouya
|
F | 21 | 4.1 | 1.1 | 1.3 | 0.2 | 0.0 | 0.2 | 0.8 | 1.1 | 1.1 | -16 | -1.0 | -8.3 | 34.8 | 0 | 57.1 | -0.53 | 41.2 | 34.8 |
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