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Delaware State

2026-2027 Team Stats (5 games)

60.6
PPG
84.0
Opp
-23.4
Margin
40.1%
FG%
28.7%
3P%
63.0%
FT%
33.2
RPG
9.6
APG
23.2
TO
74.7
Est. poss./game
57.6
Adj PPG
73.3
Adj Opp PPG
#349
Scoring Rank

Model Outputs

2026-2027
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. Preseason prior 645 (returning production + recruiting): last season 792, returning -84, transfers -63, freshmen +0 More โ†’ 669 (#346) Preseason prior 645 (returning production + recruiting): last season 792, returning -84, transfers -63, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +169 elo More โ†’ 787 (#342) HCA +169 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +169 elo More โ†’ 791 (#341) HCA +169 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More โ†’ -20.3 (#339) HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.6 More โ†’ -20.3 (#339) HCA +1.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.019 (#346) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.1 More โ†’ 0.105 (#347) AdjNet -21.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -19.5 More โ†’ 0.110 (#345) AdjNet -19.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.6 | AdjD 73.3 More โ†’ 0.167 (#349) AdjO 57.6 | AdjD 73.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.7 | AdjD 73.4 More โ†’ 0.169 (#349) AdjO 57.7 | AdjD 73.4
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 โ†’ 0.157 (#337) 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†’ 0.157 (#337) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 170 | GP 4 More โ†’ 759 (#343) RD 170 | GP 4
Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. Chronological component blend with rest and venue. More โ†’ 0.116 (#343) Chronological component blend with rest and venue.

Rank through the season

League rank each week from the model's fit of the games played by then, published the same way as the table above, so each line ends at the rank shown there. Select a point for its rating.

Recency Ensemble Log Adjusted Elo Points Off/Def Recency

2026-2027 Schedule & Results

Date Vs/At Opponent Result Score
2026-11-02 @ Georgetown Hoyas L 47 - 84
2026-11-04 vs Georgian Court Lions W 80 - 75
2026-11-08 @ Robert Morris Colonials L 53 - 69
2026-11-10 @ Pittsburgh Panthers L 51 - 129
2026-11-13 vs American University Eagles W 72 - 63
2026-11-18 @ NJIT Highlanders - Preview
2026-11-21 @ Rutgers Scarlet Knights - Preview

2026-2027 Roster

Estimated Minutes by Position

Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.

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%
Amya Scott Amya Scott G 3 16.3 12.0 0.7 0.3 1.7 0.0 2.0 7.3 5.3 -6 3 -2.0 -5.0 63.6 50.0 63.6 0.59 67.1 65.9
Anise Geiger Anise Geiger F 5 22.8 11.2 6.4 1.2 1.2 2.6 2.4 7.8 12.4 -37 5 -7.4 -13.4 64.1 0 50.0 -0.72 63.2 64.1
Skylah Kemp Skylah Kemp G 5 26.6 10.2 3.8 1.4 1.2 0.0 2.8 7.4 6.4 -77 5 -15.4 -22.8 43.2 31.6 86.7 -0.53 58.5 51.4
Skye Pepp Skye Pepp G 5 34.2 10.2 4.2 2.6 1.4 0.0 3.2 8.4 6.8 -95 5 -19.0 -22.8 40.5 66.7 72.2 -2.64 51.1 45.2
Maya McCorkle Maya McCorkle G 5 25.6 6.2 3.4 0.8 0.2 0.0 3.4 4.8 2.4 -57 5 -11.4 -18.4 37.5 30.0 71.4 -3.22 51.4 43.8
Channing Williams Channing Williams G 5 16.8 4.2 1.8 0.6 0.8 0.0 2.2 4.8 0.4 - - - - 29.2 23.1 66.7 - 39.4 35.4
Mahogany Cottingham Mahogany Cottingham G 5 18.2 3.6 1.0 0.6 0.8 0.2 2.0 4.2 0.0 -69 5 -13.8 -30.9 23.8 23.1 62.5 -2.89 36.7 31.0
Dallas Pierce Dallas Pierce G 5 8.6 3.2 1.4 0.4 0.2 0.0 0.8 3.2 1.2 -46 5 -9.2 -43.2 25.0 30.0 71.4 -8.0 41.9 34.4
Jaida Helm Jaida Helm G 5 16.8 3.0 2.0 0.6 0.4 0.2 1.0 3.4 1.8 -21 5 -4.2 -10.2 29.4 22.2 42.9 1.56 37.4 35.3
Autumn Simon Autumn Simon C 5 16.2 1.2 1.8 0.8 0.4 0.2 1.6 2.6 0.2 -80 5 -16.0 -39.7 15.4 0.0 25.0 -4.48 18.2 15.4
Oluwalu Enajekpo Oluwalu Enajekpo C 2 2.0 1.0 0.0 0.0 0.0 0.5 0.0 0.5 1.0 -1 2 -0.5 -9.6 100.0 0 0.0 -0.42 53.2 100.0
Jadea' Johnson Jadea' Johnson G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Eniyah Stinnette Eniyah Stinnette F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Mariah Jones Mariah Jones G 3 6.0 0.0 0.3 0.7 0.3 0.0 2.7 2.0 -3.3 -39 3 -13.0 -87.4 0.0 0.0 0 -3.56 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

2026-2027 Shot Zones

262 located field-goal attempts in 5 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).

Geiger40% Scott35% Cottingham50% Williams50% Scott33% Williams33% Helm33% Williams18% Pierce50% Kemp33%
Points: who the team's points here most likely come from
Geiger22% Pepp19% Pepp57% Pepp50% Pepp50% Williams31% Cottingham30% Cottingham24% Pierce38% Kemp40%
Misses: who misses most here

Anise GeigerSkye PeppSkylah KempAmya ScottChanning WilliamsMahogany CottinghamJaida HelmDallas Pierce

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 50-90 55.6 100 Anise Geiger 40% (40 pts) Skye Pepp 22% (22 pts) Anise Geiger 22% (9 misses) Skye Pepp 15% (6 misses)
Paint (non-RA) 23-60 38.3 46 Amya Scott 35% (16 pts) Anise Geiger 22% (10 pts) Skye Pepp 19% (7 misses) Anise Geiger 14% (5 misses)
Mid-range left 2-9 22.2 4 Mahogany Cottingham 50% (2 pts) Maya McCorkle 50% (2 pts) Skye Pepp 57% (4 misses) Amya Scott 14% (1 misses)
Mid-range center 2-8 25.0 4 Channing Williams 50% (2 pts) Jaida Helm 50% (2 pts) Skye Pepp 50% (3 misses) Channing Williams 33% (2 misses)
Mid-range right 3-7 42.9 6 Amya Scott 33% (2 pts) Skye Pepp 33% (2 pts) Skye Pepp 50% (2 misses) Jaida Helm 25% (1 misses)
Left corner 3 3-16 18.8 9 Channing Williams 33% (3 pts) Skye Pepp 33% (3 pts) Channing Williams 31% (4 misses) Skylah Kemp 31% (4 misses)
Right corner 3 3-13 23.1 9 Jaida Helm 33% (3 pts) Mahogany Cottingham 33% (3 pts) Mahogany Cottingham 30% (3 misses) Skylah Kemp 30% (3 misses)
Above-break 3 left 11-28 39.3 33 Channing Williams 18% (6 pts) Dallas Pierce 18% (6 pts) Mahogany Cottingham 24% (4 misses) Jaida Helm 18% (3 misses)
Above-break 3 center 2-15 13.3 6 Dallas Pierce 50% (3 pts) Maya McCorkle 50% (3 pts) Dallas Pierce 38% (5 misses) Maya McCorkle 23% (3 misses)
Above-break 3 right 6-16 37.5 18 Skylah Kemp 33% (6 pts) Amya Scott 17% (3 pts) Skylah Kemp 40% (4 misses) Channing Williams 20% (2 misses)