St. Francis (PA) Red Flash
2016 Team Stats (2 games)
55.5
PPG
91.5
Opp
-36.0
Margin
30.7%
FG%
31.1%
3P%
69.2%
FT%
31.5
RPG
8.0
APG
12.5
TO
-
Est. poss./game
65.3
Adj PPG
75.0
Adj Opp PPG
#305
Scoring Rank
Model Outputs
2015-2016
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 | 824 (#271) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 865 (#265) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 947 (#246) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -10.8 (#305) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -11.2 (#314) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.361 (#234) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.146 (#304) | AdjNet -15.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.143 (#304) | AdjNet -15.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.293 (#305) | AdjO 65.3 | AdjD 75.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.381 (#280) | AdjO 68.1 | AdjD 73.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.253 (#300) | 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 | 0.269 (#298) | 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 | 831 (#283) | RD 156 | GP 29 |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Greg Brown
|
G | 24 | 34.2 | 13.2 | 3.4 | 3.3 | 0.9 | 0.2 | 2.7 | 3.4 | 15.0 | -120 | 24 | -5.0 | -6.1 | 43.2 | 31.6 | 67.9 | -3.19 | 169.3 | 46.9 |
Ronnie Drinnon
|
F | 25 | 32.2 | 12.8 | 10.6 | 1.5 | 0.6 | 0.0 | 1.6 | 2.9 | 20.9 | -51 | 26 | -2.0 | -2.5 | 43.8 | 46.2 | 57.6 | -0.49 | 182.2 | 47.9 |
Ben Millaud-Meunier
|
G | 25 | 26.6 | 11.2 | 2.7 | 1.7 | 0.4 | 0.0 | 1.4 | 2.8 | 11.8 | 11 | 26 | 0.4 | 0.6 | 42.3 | 41.3 | 93.8 | 3.06 | 178.8 | 55.6 |
Isaiah Blackmon
|
G | 16 | 21.2 | 8.6 | 2.8 | 1.1 | 0.9 | 0.3 | 1.4 | 2.9 | 9.5 | 14 | 16 | 0.9 | 1.6 | 47.8 | 33.3 | 66.7 | 0.86 | 128.0 | 52.2 |
Malik Harmon
|
G | 23 | 30.0 | 7.4 | 2.5 | 2.7 | 1.0 | 0.0 | 1.9 | 2.0 | 9.8 | -108 | 23 | -4.7 | -6.4 | 31.1 | 32.1 | 72.2 | -3.98 | 161.6 | 41.1 |
Basil Thompson
|
F | 23 | 16.8 | 6.7 | 4.1 | 0.4 | 0.2 | 0.3 | 1.7 | 1.7 | 8.3 | -31 | 25 | -1.2 | -3.1 | 30.8 | 0.0 | 67.9 | -1.41 | 150.0 | 30.8 |
Georgios Angelou
|
G | 24 | 14.4 | 3.5 | 1.0 | 0.5 | 0.2 | 0.0 | 0.6 | 0.6 | 4.0 | -36 | 24 | -1.5 | -4.6 | 33.3 | 33.3 | 100.0 | -1.33 | 250.6 | 50.0 |
Ifeanyi Umezurike
|
C | 10 | 7.5 | 3.1 | 2.4 | 0.0 | 0.0 | 0.2 | 0.7 | 1.0 | 4.0 | -43 | 9 | -4.8 | -25.4 | 60.0 | 0 | 20.0 | -5.14 | 127.0 | 60.0 |
Jamaal King
|
G | 13 | 9.6 | 2.2 | 0.8 | 0.6 | 0.3 | 0.0 | 0.5 | 0.8 | 2.5 | - | - | - | - | 45.5 | 33.3 | 50.0 | - | 117.8 | 54.5 |
Patrick Wrencher
|
F | 21 | 7.9 | 1.8 | 1.1 | 0.1 | 0.1 | 0.2 | 0.3 | 0.4 | 2.6 | -16 | 20 | -0.8 | -4.9 | 77.8 | 0 | 100.0 | -0.5 | 171.9 | 77.8 |
Andre Wolford
|
G | 5 | 1.4 | 1.6 | 0.4 | 0.0 | 0.0 | 0.0 | 0.2 | 0.4 | 1.4 | - | - | - | - | 50.0 | 50.0 | 0 | -1.53 | 200.0 | 75.0 |
Scott Meredith
|
G | 11 | 3.5 | 0.3 | 0.3 | 0.2 | 0.2 | 0.0 | 0.2 | 0.4 | 0.4 | -25 | 11 | -2.3 | -23.0 | 25.0 | 25.0 | 0 | -4.54 | 37.5 | 37.5 |
Michael Klebon
|
G | 6 | 1.2 | 0.3 | 0.3 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.7 | - | - | - | - | 0.0 | 0.0 | 0 | -1.16 | 100.0 | 0.0 |
Daniel Wallace
|
C | 3 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | -0.3 | - | - | - | - | 0 | 0 | 0 | -1.73 | 0 | 0 |
Josh Nebo
|
F | 2 | 19.0 | 0.0 | 4.0 | 0.0 | 0.5 | 0.5 | 0.5 | 3.0 | 1.5 | -48 | 26 | -1.8 | -3.3 | 0.0 | 0 | 0 | -1.74 | 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