🐻⬇️🏀

Arizona Christian Firestorm

Season: 2013 2012
Also known as: Arizona Christian Firestorm
Program History

2013 Team Stats (1 games)

70.0
PPG
98.0
Opp
-35.7
Margin
39.1%
FG%
20.8%
3P%
71.4%
FT%
35.0
RPG
15.0
APG
16.0
TO
89.2
Pace

Model Outputs

2012-2013
Catalog

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 → 810 (#1048) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 827 (#1055) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 994 (#351) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → -10.2 (#739) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -13.0 (#496) HCA +3.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.4 | AdjD 68.1 More → 0.439 (#456) AdjO 65.4 | AdjD 68.1
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.209 (#514) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.255 (#506) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 3 More → 840 (#514) RD 350 | GP 3

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 @ Weber State Wildcats L 52 - 110
2012-11-17 @ Utah Valley Wolverines L 70 - 96
2012-12-11 @ San Diego Toreros L 65 - 88

2013 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. Jones M. Jones G 3 29.7 14.7 0.7 1.3 2.0 0.0 4.0 4.3 10.3 -31 -1.0 -1.9 38.5 25.0 0 0.65 169.2 42.3
J. Block J. Block - 1 27.0 14.0 2.0 1.0 0.0 0.0 0.0 0.0 17.0 - - - 0 0 0 - 0 0
C. King C. King G 2 29.5 8.5 2.0 1.5 2.0 0.0 1.0 3.0 10.0 - - - 66.7 0.0 0 -0.48 141.7 66.7
D. Cornelius D. Cornelius F 2 22.5 5.5 3.0 0.0 0.5 0.5 0.5 3.5 5.5 - - - 42.9 0.0 33.3 -0.69 66.1 42.9
J. Helms J. Helms F 3 24.3 3.0 3.0 2.0 0.3 0.3 1.7 1.7 5.3 - - - 0.0 0.0 50.0 -0.75 76.5 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