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Niagara Purple

Also known as: Niagara Purple Eagles, Niagara
Program History

2026-2027 Team Stats (3 games)

63.0
PPG
84.0
Opp
-21.0
Margin
39.8%
FG%
37.2%
3P%
68.1%
FT%
27.3
RPG
12.3
APG
17.0
TO
72.2
Est. poss./game
65.3
Adj PPG
76.7
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 701 (returning production + recruiting): last season 808, returning -10, transfers -66, freshmen -30 More โ†’ 670 (#350) Preseason prior 701 (returning production + recruiting): last season 808, returning -10, transfers -66, freshmen -30
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +206 elo More โ†’ 822 (#356) HCA +206 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +205 elo More โ†’ 825 (#355) HCA +205 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More โ†’ -20.9 (#364) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.2 More โ†’ -20.9 (#364) HCA +2.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.102 (#335) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -19.5 More โ†’ 0.197 (#350) AdjNet -19.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -20.7 More โ†’ 0.184 (#353) AdjNet -20.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.3 | AdjD 76.7 More โ†’ 0.257 (#349) AdjO 65.3 | AdjD 76.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.4 | AdjD 76.6 More โ†’ 0.260 (#349) AdjO 65.4 | AdjD 76.6
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†’ 0.183 (#360) 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†’ 0.183 (#360) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 188 | GP 3 More โ†’ 793 (#349) RD 188 | GP 3
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†’ 0.211 (#355) 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 @ West Virginia Mountaineers L 46 - 91
2026-11-07 vs Morgan State Bears L 67 - 73
2026-11-12 @ Bowling Green Falcons L 76 - 88
2026-11-15 @ Iowa State Cyclones - Preview
2026-11-20 @ Delaware State Hornets - 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%
Logan Woods Logan Woods G 3 30.3 13.7 5.0 1.7 1.0 0.0 1.3 11.0 9.0 -26 3 -8.7 -11.5 42.4 45.5 100.0 -0.59 59.7 57.6
Samuele Miccoli Samuele Miccoli G 3 27.0 8.3 1.7 1.3 1.7 0.0 3.7 8.7 0.7 -43 3 -14.3 -21.3 42.3 20.0 50.0 -1.56 46.5 46.2
Fidel Rotta Fidel Rotta F 3 21.3 8.0 5.0 1.7 0.7 0.7 2.0 5.0 9.0 -28 3 -9.3 -17.6 40.0 0.0 66.7 -0.97 52.4 40.0
Bastien Rieber Bastien Rieber G 3 31.3 7.7 2.7 2.7 0.0 0.0 2.7 5.7 4.7 -34 3 -11.3 -14.5 41.2 50.0 66.7 -1.28 62.8 61.8
Tae Blackshear Tae Blackshear G 3 15.7 6.7 1.0 0.7 1.0 0.3 0.7 5.0 4.0 -34 3 -11.3 -29.1 40.0 36.4 80.0 -1.31 58.1 53.3
Ruey Ruey Ruey Ruey G 3 22.0 6.7 3.7 2.0 1.0 0.3 1.3 5.0 7.3 -16 3 -5.3 -9.7 33.3 33.3 88.9 -0.15 52.7 40.0
Cole Farrell Cole Farrell G 3 14.3 6.3 1.3 0.3 0.0 0.3 1.3 6.3 0.7 -39 3 -13.0 -36.0 42.1 40.0 25.0 -2.41 45.8 47.4
Brian Angeletti Brian Angeletti F 3 7.0 2.3 0.3 0.3 0.0 0.0 1.0 1.3 0.7 -25 3 -8.3 -46.5 75.0 50.0 0 -1.04 87.5 87.5
Daniel Emokhare Daniel Emokhare F 3 10.7 1.7 2.7 0.3 0.0 1.3 0.3 2.0 3.7 -3 3 -1.0 -3.7 33.3 0 50.0 0.28 36.3 33.3
Trenton Walters Trenton Walters G 3 13.7 1.7 2.0 1.3 0.3 0.0 1.0 3.0 1.3 -37 3 -12.3 -35.3 22.2 20.0 0.0 -2.19 26.5 27.8
Gael Dalmau Gael Dalmau G 2 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.5 -0.5 -5 2 -2.5 -38.6 0.0 0.0 0 -0.06 0.0 0.0
Jackson Redmond Jackson Redmond G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Noah Slingerland Noah Slingerland F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Vukasin Todorovic Vukasin Todorovic F 2 7.5 0.0 0.0 0.0 0.0 0.5 1.0 0.5 -1.0 -25 2 -12.5 -70.8 0.0 0 0 -1.38 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

161 located field-goal attempts in 3 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).

Miccoli29% Rotta30% Miccoli100% Blackshear67% Rieber29% Woods57% Rieber67% Woods44%
Points: who the team's points here most likely come from
Miccoli29% Farrell25% Woods33% Blackshear100% Farrell100% Rieber20% Ruey38% Woods22% Miccoli43% Woods45%
Misses: who misses most here

Logan WoodsSamuele MiccoliBastien RieberCole FarrellTae BlackshearFidel RottaRuey Ruey

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 24-41 58.5 48 Samuele Miccoli 29% (14 pts) Cole Farrell 17% (8 pts) Samuele Miccoli 29% (5 misses) Daniel Emokhare 18% (3 misses)
Paint (non-RA) 10-30 33.3 20 Fidel Rotta 30% (6 pts) Brian Angeletti 20% (4 pts) Cole Farrell 25% (5 misses) Fidel Rotta 20% (4 misses)
Mid-range left 1-10 10.0 2 Samuele Miccoli 100% (2 pts) - Logan Woods 33% (3 misses) Ruey Ruey 22% (2 misses)
Mid-range center 0-1 0.0 0 - - Tae Blackshear 100% (1 misses) -
Mid-range right 0-1 0.0 0 - - Cole Farrell 100% (1 misses) -
Left corner 3 3-8 37.5 9 Tae Blackshear 67% (6 pts) Logan Woods 33% (3 pts) Bastien Rieber 20% (1 misses) Brian Angeletti 20% (1 misses)
Right corner 3 7-15 46.7 21 Bastien Rieber 29% (6 pts) Samuele Miccoli 29% (6 pts) Ruey Ruey 38% (3 misses) Logan Woods 25% (2 misses)
Above-break 3 left 7-25 28.0 21 Logan Woods 57% (12 pts) Tae Blackshear 29% (6 pts) Logan Woods 22% (4 misses) Samuele Miccoli 22% (4 misses)
Above-break 3 center 3-10 30.0 9 Bastien Rieber 67% (6 pts) Brian Angeletti 33% (3 pts) Samuele Miccoli 43% (3 misses) Cole Farrell 14% (1 misses)
Above-break 3 right 9-20 45.0 27 Logan Woods 44% (12 pts) Bastien Rieber 22% (6 pts) Logan Woods 45% (5 misses) Bastien Rieber 36% (4 misses)