Towson
2014 Team Stats (3 games)
70.0
PPG
66.0
Opp
+4.0
Margin
45.2%
FG%
31.5%
3P%
66.1%
FT%
38.0
RPG
10.0
APG
12.0
TO
-
Est. poss./game
70.2
Adj PPG
68.3
Adj Opp PPG
#136
Scoring Rank
Model Outputs
2013-2014
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 | 1103 (#92) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1136 (#79) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1129 (#28) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +1.8 (#140) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +2.8 (#128) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.643 (#87) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.546 (#153) | AdjNet +1.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.545 (#153) | AdjNet +1.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.544 (#136) | AdjO 70.2 | AdjD 68.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.572 (#97) | AdjO 70.8 | AdjD 67.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.608 (#110) | 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 | 0.614 (#109) | 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 | 1108 (#98) | RD 101 | GP 35 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jerrelle Benimon
|
F | 28 | 36.2 | 17.4 | 11.2 | 3.8 | 0.6 | 1.1 | 3.5 | 2.8 | 27.9 | 34 | 30 | 1.1 | 1.4 | 51.9 | 22.2 | 68.0 | -1.69 | 246.0 | 53.2 |
Rafriel Guthrie
|
F | 28 | 25.0 | 12.6 | 2.8 | 0.8 | 0.7 | 0.0 | 1.9 | 1.7 | 13.3 | 25 | 30 | 0.8 | 1.4 | 52.1 | 60.0 | 65.1 | -0.48 | 263.0 | 61.5 |
Mike Burwell
|
G | 28 | 29.6 | 11.0 | 4.0 | 2.0 | 0.6 | 0.4 | 2.2 | 2.1 | 13.7 | 21 | 30 | 0.7 | 1.0 | 42.4 | 25.0 | 68.2 | 0.15 | 224.2 | 46.6 |
Marcus Damas
|
F | 28 | 31.8 | 10.5 | 5.0 | 1.3 | 0.5 | 1.0 | 1.7 | 1.7 | 14.9 | 20 | 30 | 0.7 | 0.9 | 31.9 | 14.3 | 66.7 | 1.13 | 274.3 | 34.0 |
Four McGlynn
|
G | 3 | 22.3 | 8.3 | 1.0 | 0.0 | 0.7 | 0.0 | 0.7 | 5.7 | 3.7 | 150 | 30 | 5.0 | 8.9 | 41.2 | 46.7 | 80.0 | 4.16 | 65.1 | 61.8 |
Timajh Parker-Rivera
|
F | 28 | 25.2 | 5.8 | 5.0 | 0.2 | 0.6 | 1.3 | 0.5 | 0.8 | 11.6 | -29 | 30 | -1.0 | -1.6 | 52.2 | 0 | 62.5 | -3.04 | 307.3 | 52.2 |
Jerome Hairston
|
G | 4 | 20.8 | 4.8 | 1.0 | 2.0 | 1.0 | 0.2 | 2.2 | 0.5 | 6.2 | - | - | - | - | 0.0 | 0.0 | 0 | -5.83 | 475.0 | 0.0 |
John Davis
|
F | 18 | 8.6 | 3.4 | 3.1 | 0.1 | 0.2 | 0.3 | 0.2 | 0.4 | 6.4 | 27 | 21 | 1.3 | 6.5 | 75.0 | 0 | 100.0 | 1.1 | 349.1 | 75.0 |
Walter Foster
|
C | 28 | 12.6 | 1.6 | 2.9 | 0.2 | 0.1 | 0.9 | 0.5 | 0.2 | 4.9 | 65 | 30 | 2.2 | 7.8 | 42.9 | 0 | 33.3 | 0.02 | 228.2 | 42.9 |
Jonah Meredith
|
- | 3 | 2.0 | 1.3 | 1.0 | 0.0 | 0.3 | 0.0 | 0.3 | 0.0 | 2.3 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Marquis Marshall
|
G | 21 | 4.1 | 1.0 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.1 | 1.3 | 4 | 18 | 0.2 | 2.8 | 0.0 | 0.0 | 0 | -1.31 | 525.0 | 0.0 |
Ben Mesuda
|
- | 5 | 1.6 | 0.6 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Larry McCollum
|
- | 4 | 1.8 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jamel Flash
|
F | 14 | 2.6 | 0.2 | 0.4 | 0.0 | 0.1 | 0.0 | 0.2 | 0.0 | 0.4 | 5 | 12 | 0.4 | 8.5 | 0 | 0 | 0 | -0.39 | 0 | 0 |
Barrington Alston
|
F | 11 | 3.5 | 0.2 | 0.5 | 0.0 | 0.1 | 0.0 | 0.4 | 0.1 | 0.4 | 0 | 11 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | -1.3 | 100.0 | 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