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Chaminade Silverswords

Also known as: Chaminade Silverswords
Program History

2024 Team Stats (3 games)

53.3
PPG
88.0
Opp
-34.7
Margin
30.0%
FG%
22.4%
3P%
80.0%
FT%
26.7
RPG
10.7
APG
13.0
TO
80.7
Pace

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 989 (#518) HCA +109 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -3.4 (#401) HCA +2.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.6 | AdjD 76.4 More → 0.438 (#531) AdjO 73.6 | AdjD 76.4
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 → 0.451 (#371) 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 → 0.464 (#356) 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 → 837 (#633) RD 350 | GP 3

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-20 vs Kansas Jayhawks L 56 - 83
2023-11-21 vs UCLA Bruins L 48 - 76
2023-11-22 vs Syracuse Orange L 56 - 105

2024 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%
J. Thomas J. Thomas - 3 29.7 13.7 4.3 1.0 1.7 0.3 2.0 13.3 5.7 17 1.4 4.7 37.5 37.5 100.0 0.22 50.1 48.8
R. Reeves R. Reeves - 3 32.0 12.0 4.7 3.0 1.3 1.0 2.0 14.3 5.7 - - - 34.9 14.3 75.0 - 40.2 38.4
I. Amaral-Artharee I. Amaral-Artharee - 3 34.0 7.3 3.7 2.3 0.7 0.0 2.3 10.3 1.3 - - - 16.1 17.6 90.0 - 31.1 21.0
W. Lowell W. Lowell - 3 23.7 6.7 2.7 0.3 2.3 0.0 2.0 7.7 2.3 - - - 34.8 28.6 0 - 43.5 43.5
S. Ator S. Ator - 3 29.0 6.3 4.0 1.7 0.7 0.3 1.7 7.7 3.7 - - - 34.8 11.1 50.0 - 38.4 37.0
C. Bready C. Bready - 3 16.0 3.3 1.7 0.7 0.3 0.3 1.3 4.0 1.0 - - - 8.3 10.0 87.5 - 32.2 12.5
J. Villa J. Villa G 3 12.3 2.3 1.0 1.3 1.0 0.0 1.0 3.0 1.7 - - - 33.3 50.0 0 - 38.9 38.9
B. Shackelford B. Shackelford - 3 15.7 0.7 0.7 0.3 0.3 0.0 0.7 1.7 -0.3 - - - 20.0 0 0 - 20.0 20.0
C. Frawley C. Frawley - 3 4.7 0.7 1.0 0.0 0.0 0.0 0.0 1.0 0.7 - - - 33.3 0.0 0 - 33.3 33.3
M. Fegurgur M. Fegurgur - 3 3.0 0.3 0.7 0.0 0.0 0.3 0.0 0.3 1.0 - - - 0.0 0 50.0 - 26.6 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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