St. Francis (PA) Red Flash
2014 Team Stats (1 games)
43.0
PPG
75.0
Opp
-32.0
Margin
31.3%
FG%
15.8%
3P%
58.8%
FT%
20.0
RPG
7.0
APG
9.0
TO
-
Est. poss./game
58.5
Adj PPG
68.7
Adj Opp PPG
#314
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 | 871 (#267) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 832 (#291) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 963 (#228) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -10.9 (#312) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -9.0 (#298) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.210 (#315) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.112 (#320) | AdjNet -17.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.110 (#320) | AdjNet -18.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.283 (#314) | AdjO 58.5 | AdjD 68.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.368 (#299) | AdjO 60.8 | AdjD 66.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.264 (#296) | 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 | 0.280 (#293) | 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 | 859 (#265) | RD 147 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Earl Brown
|
F | 27 | 32.7 | 13.1 | 8.0 | 1.4 | 0.8 | 0.9 | 2.5 | 2.2 | 19.5 | -109 | 23 | -4.7 | -6.2 | 42.4 | 0.0 | 55.6 | -1.44 | 263.7 | 42.4 |
Malik Harmon
|
G | 27 | 30.1 | 9.0 | 2.7 | 2.8 | 0.8 | 0.0 | 1.6 | 1.4 | 12.5 | -93 | 23 | -4.0 | -5.9 | 16.2 | 26.3 | 72.2 | -0.83 | 271.6 | 23.0 |
Ben Millaud-Meunier
|
G | 27 | 19.8 | 8.3 | 1.7 | 0.7 | 0.6 | 0.0 | 1.0 | 1.6 | 8.8 | -142 | 23 | -6.2 | -15.2 | 26.2 | 25.0 | 75.0 | -6.3 | 236.9 | 34.5 |
Ronnie Drinnon
|
F | 23 | 23.4 | 7.0 | 5.8 | 1.2 | 0.9 | 0.8 | 1.1 | 1.6 | 13.1 | -35 | 21 | -1.7 | -3.2 | 50.0 | 50.0 | 22.2 | 0.73 | 202.7 | 52.8 |
Dominique Major
|
G | 27 | 24.1 | 6.9 | 1.0 | 0.9 | 0.7 | 0.0 | 0.7 | 1.0 | 7.7 | -57 | 23 | -2.5 | -4.4 | 30.8 | 35.0 | 53.3 | -0.72 | 285.3 | 44.2 |
Stephon Mosley
|
F | 8 | 20.5 | 6.5 | 3.4 | 0.6 | 0.5 | 0.2 | 1.5 | 0.9 | 8.9 | -70 | 7 | -10.0 | -19.4 | 71.4 | 0 | 66.7 | -3.76 | 269.7 | 71.4 |
Stephon Whyatt
|
G | 26 | 18.5 | 5.7 | 1.1 | 1.3 | 0.7 | 0.1 | 0.7 | 0.9 | 7.3 | -38 | 22 | -1.7 | -4.0 | 47.8 | 16.7 | 58.3 | -0.6 | 259.9 | 50.0 |
Ollie Jackson
|
G | 27 | 21.3 | 5.1 | 3.1 | 1.3 | 0.6 | 0.3 | 1.4 | 1.5 | 7.5 | -93 | 23 | -4.0 | -8.0 | 37.5 | 32.1 | 80.0 | 0.4 | 156.5 | 48.8 |
Greg Brown
|
G | 27 | 23.0 | 3.7 | 2.6 | 1.7 | 0.8 | 0.4 | 1.2 | 1.0 | 7.0 | -85 | 23 | -3.7 | -6.4 | 46.2 | 42.9 | 50.0 | -2.45 | 172.8 | 51.9 |
Patrick Wrencher
|
F | 10 | 4.4 | 1.4 | 0.8 | 0.0 | 0.0 | 0.1 | 0.2 | 0.3 | 1.8 | -6 | 8 | -0.8 | -6.2 | 66.7 | 0 | 0 | -1.93 | 233.3 | 66.7 |
Georgios Angelou
|
G | 11 | 6.2 | 1.3 | 0.5 | 0.4 | 0.2 | 0.0 | 0.4 | 0.5 | 1.5 | -24 | 9 | -2.7 | -19.7 | 60.0 | 60.0 | 0 | -3.89 | 140.0 | 90.0 |
Matthew Mazzara
|
G | 5 | 2.4 | 0.0 | 0.2 | 0.0 | 0.4 | 0.0 | 0.6 | 0.2 | -0.2 | - | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Aric Gresko
|
G | 5 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | 0.67 | 0 | 0 |
Dalton Cesarz
|
G | 4 | 2.0 | 0.0 | 0.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.2 | - | - | - | - | 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