Holy Cross
2014 Team Stats (1 games)
63.0
PPG
52.0
Opp
+11.0
Margin
41.5%
FG%
31.6%
3P%
61.9%
FT%
36.0
RPG
9.0
APG
14.0
TO
-
Est. poss./game
66.3
Adj PPG
65.9
Adj Opp PPG
#163
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 | 1000 (#176) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1039 (#140) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1040 (#114) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +0.2 (#167) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -0.9 (#186) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.574 (#127) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.501 (#165) | AdjNet +0.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.501 (#165) | AdjNet +0.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.510 (#163) | AdjO 66.3 | AdjD 65.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.507 (#167) | AdjO 64.3 | AdjD 64.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.513 (#165) | 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 | 0.512 (#166) | 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 | 1006 (#162) | RD 108 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dave Dudzinski
|
F | 31 | 31.7 | 15.4 | 7.6 | 0.7 | 0.7 | 0.7 | 2.0 | 2.5 | 20.7 | 104 | 24 | 4.3 | 6.2 | 49.4 | 38.5 | 85.0 | 2.44 | 278.6 | 52.6 |
Malcolm Miller
|
F | 31 | 30.0 | 10.5 | 5.5 | 2.1 | 0.9 | 1.5 | 1.7 | 1.4 | 17.5 | 58 | 24 | 2.4 | 3.5 | 44.2 | 44.4 | 62.5 | -0.14 | 326.7 | 53.5 |
Anthony Thompson
|
G | 30 | 27.3 | 9.3 | 2.2 | 2.5 | 1.0 | 0.0 | 1.1 | 1.3 | 12.6 | 65 | 23 | 2.8 | 4.6 | 48.7 | 46.2 | 83.3 | -0.7 | 280.5 | 64.1 |
Justin Burrell
|
G | 28 | 29.2 | 9.0 | 1.8 | 2.5 | 0.8 | 0.0 | 1.8 | 1.0 | 11.3 | 46 | 21 | 2.2 | 3.1 | 37.0 | 33.3 | 57.1 | -0.67 | 417.2 | 44.4 |
Cullen Hamilton
|
G | 17 | 21.1 | 8.7 | 1.8 | 0.9 | 0.6 | 0.0 | 0.9 | 0.6 | 10.5 | - | - | - | - | 45.5 | 33.3 | 100.0 | - | 579.9 | 54.5 |
Eric Green
|
F | 31 | 29.9 | 7.5 | 3.9 | 2.0 | 1.5 | 0.5 | 1.5 | 1.5 | 12.4 | 122 | 24 | 5.1 | 7.3 | 44.7 | 20.0 | 62.5 | 2.76 | 230.6 | 45.7 |
Malachi Alexander
|
F | 31 | 21.7 | 6.7 | 4.4 | 0.9 | 0.4 | 0.6 | 1.9 | 1.1 | 9.9 | 24 | 24 | 1.0 | 2.1 | 30.3 | 16.7 | 75.0 | -1.66 | 237.6 | 31.8 |
Taylor Abt
|
F | 31 | 11.7 | 2.3 | 2.4 | 0.1 | 0.2 | 0.2 | 0.7 | 0.5 | 3.8 | -28 | 24 | -1.2 | -4.8 | 50.0 | 28.6 | 50.0 | -2.67 | 187.8 | 56.2 |
Robert Champion
|
G | 21 | 9.7 | 2.1 | 1.0 | 0.2 | 0.2 | 0.1 | 0.2 | 0.8 | 2.7 | -12 | 17 | -0.7 | -3.4 | 25.0 | 23.1 | 25.0 | -3.1 | 126.7 | 34.4 |
De'Vaughn Reid
|
G | 14 | 7.8 | 1.5 | 0.6 | 0.4 | 0.4 | 0.1 | 0.4 | 0.4 | 2.1 | -12 | 12 | -1.0 | -5.5 | 66.7 | 50.0 | 50.0 | -2.88 | 152.6 | 75.0 |
Christopher Morgan
|
F | 12 | 3.2 | 0.5 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.2 | 0.8 | - | - | - | - | 50.0 | 0 | 0 | - | 150.0 | 50.0 |
Chris Jayne
|
- | 6 | 1.2 | 0.2 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Patrick Kerrigan
|
- | 5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | -0.2 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Isaiah Baker
|
F | 4 | 1.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Matt Husek
|
C | 6 | 1.5 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 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