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Saint Francis Red Flash

Also known as: Saint Francis Red Wolves
Program History

2023 Team Stats (29 games)

52.0
PPG
66.5
Opp
-14.5
Margin
36.3%
FG%
25.4%
3P%
64.4%
FT%
36.8
RPG
9.3
APG
20.8
TO
68.8
Est. poss./game
49.1
Adj PPG
71.1
Adj Opp PPG
#353
Scoring Rank

Model Outputs

2022-2023
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 โ†’ 698 (#321) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 707 (#341) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +76 elo More โ†’ 920 (#287) HCA +76 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More โ†’ -24.0 (#354) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.1 More โ†’ -22.6 (#353) HCA +2.1
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.056 (#346) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -20.9 More โ†’ 0.056 (#346) NetEff -20.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -38.0 More โ†’ 0.012 (#353) AdjNet -38.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -39.0 More โ†’ 0.010 (#354) AdjNet -39.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 49.1 | AdjD 71.1 More โ†’ 0.119 (#353) AdjO 49.1 | AdjD 71.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 54.4 | AdjD 67.0 More โ†’ 0.240 (#345) AdjO 54.4 | AdjD 67.0
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 โ†’ 0.090 (#352) 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 โ†’ 0.105 (#351) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 143 | GP 29 More โ†’ 742 (#334) RD 143 | GP 29

2023 Schedule & Results

2023 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%
Aaliyah Moore Aaliyah Moore F 29 32.6 10.4 10.2 1.4 1.0 0.4 3.7 8.9 10.9 - - - - 47.5 13.3 62.0 - 50.9 47.9
Semaya Turner Semaya Turner G 25 21.8 8.4 4.0 1.2 0.9 0.4 2.5 7.4 5.1 - - - - 39.5 25.9 60.5 - 47.6 43.5
D. Ward D. Ward G 29 27.3 7.1 3.0 1.2 0.5 0.2 2.8 7.4 1.8 - - - - 32.4 30.5 69.1 - 41.7 36.6
Filippa Goula Filippa Goula G 29 29.6 7.0 2.5 2.8 0.9 0.0 4.0 6.3 3.0 - - - - 36.8 28.6 89.8 - 48.8 41.2
Layla Laws Layla Laws F 26 26.7 6.7 4.5 1.3 1.0 0.5 3.5 7.9 2.5 - - - - 30.2 24.5 67.3 - 37.7 33.2
S. Miller S. Miller F 29 26.1 6.5 4.0 0.9 0.6 0.2 1.5 7.1 3.5 - - - - 38.6 0.0 57.1 - 41.1 38.6
Adison Novosel Adison Novosel G 28 20.6 3.6 1.7 0.4 0.5 0.2 0.6 4.7 1.2 - - - - 26.5 24.2 50.0 - 37.9 37.5
Jade Campbell Jade Campbell F 25 13.2 3.0 4.2 0.2 0.2 0.1 1.6 3.5 2.6 - - - - 35.6 0.0 37.1 - 36.6 35.6
Maria McConnell Maria McConnell G 27 7.7 1.3 0.6 0.1 0.1 0.0 0.6 1.8 -0.1 - - - - 25.0 27.9 0 - 37.5 37.5
Julianna Gibson Julianna Gibson F 17 4.4 0.8 0.7 0.1 0.1 0.1 0.2 0.8 0.7 - - - - 42.9 0 50.0 - 43.7 42.9
K. Ambrose K. Ambrose G 1 7.0 0.0 1.0 1.0 0.0 0.0 2.0 1.0 -1.0 - - - - 0.0 0.0 0 - 0.0 0.0
Harris Robinson Harris Robinson G 13 1.8 0.0 0.2 0.0 0.1 0.0 0.2 0.2 -0.2 - - - - 0.0 0.0 0 - 0.0 0.0
Marissa Shelton Marissa Shelton G 5 2.8 0.0 0.0 0.2 0.0 0.0 0.6 0.0 -0.4 - - - - 0 0 0 - 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

2022-2023 Shot Zones

90 located field-goal attempts in 2 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Laws26%
Points: who the team's points here most likely come from
Laws27%
Misses: who misses most here

Layla Laws

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 34-90 37.8 68 Layla Laws 26% (18 pts) Filippa Goula 18% (12 pts) Layla Laws 27% (15 misses) Adison Novosel 16% (9 misses)
Paint (non-RA) 0-0 - 0 - - - -
Mid-range left 0-0 - 0 - - - -
Mid-range center 0-0 - 0 - - - -
Mid-range right 0-0 - 0 - - - -
Left corner 3 0-0 - 0 - - - -
Right corner 3 0-0 - 0 - - - -
Above-break 3 left 0-0 - 0 - - - -
Above-break 3 center 0-0 - 0 - - - -
Above-break 3 right 0-0 - 0 - - - -