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North Alabama

2026-2027 Team Stats (4 games)

59.0
PPG
62.8
Opp
-3.8
Margin
38.7%
FG%
22.7%
3P%
64.2%
FT%
46.3
RPG
15.5
APG
24.8
TO
72.3
Est. poss./game
56.3
Adj PPG
55.8
Adj Opp PPG
#179
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 912 (returning production + recruiting): last season 1003, returning -105, transfers +14, freshmen +0 More โ†’ 946 (#199) Preseason prior 912 (returning production + recruiting): last season 1003, returning -105, transfers +14, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +169 elo More โ†’ 958 (#204) HCA +169 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +169 elo More โ†’ 959 (#202) HCA +169 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More โ†’ -0.0 (#162) HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.6 More โ†’ -0.0 (#162) HCA +1.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.104 (#291) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -7.0 More โ†’ 0.342 (#229) AdjNet -7.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -12.1 More โ†’ 0.276 (#271) AdjNet -12.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 56.3 | AdjD 55.8 More โ†’ 0.458 (#179) AdjO 56.3 | AdjD 55.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.4 | AdjD 55.8 More โ†’ 0.459 (#177) AdjO 56.4 | AdjD 55.8
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†’ 0.405 (#205) 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†’ 0.405 (#204) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 186 | GP 3 More โ†’ 933 (#215) RD 186 | 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†’ 0.353 (#223) 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
2026-11-03 @ Mississippi State Bulldogs L 27 - 68
2026-11-05 @ Ole Miss Rebels L 51 - 72
2026-11-09 @ Jacksonville State Gamecocks W 66 - 63
2026-11-13 vs Fisk Bulldogs W 92 - 48
2026-11-18 @ Vanderbilt Commodores - 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%
Amy Kurkowski Amy Kurkowski G 4 30.5 10.0 5.5 2.2 1.0 0.8 3.0 11.8 4.8 -14 4 -3.5 -5.9 29.8 24.1 62.5 0.62 39.6 37.2
Emma D'este Emma D'este C 4 21.0 8.8 7.2 0.8 0.8 1.5 1.2 5.2 12.5 -5 4 -1.2 -2.6 76.2 0.0 75.0 1.45 76.9 76.2
Brynn Lusby Brynn Lusby G 4 16.0 8.5 3.5 1.2 1.2 0.5 0.8 8.2 6.0 -5 4 -1.2 -5.5 39.4 20.0 50.0 -1.3 43.4 40.9
Venla Ulander Venla Ulander F 4 26.8 7.5 4.8 1.0 0.8 0.0 1.0 7.5 5.5 -10 4 -2.5 -4.2 40.0 46.2 0 -0.7 50.0 50.0
Greta Ramon Greta Ramon G 3 26.0 5.3 2.3 4.7 0.7 0.3 5.0 6.7 1.7 -16 3 -5.3 -8.6 35.0 0.0 100.0 -0.73 38.3 35.0
Marckalia Celestine Marckalia Celestine G 4 13.8 5.0 6.8 0.0 0.5 0.0 1.8 3.2 7.2 -17 4 -4.2 -19.3 53.8 0 75.0 -1.93 60.5 53.8
Joceline Geara Joceline Geara G 3 13.0 4.7 1.7 0.7 0.0 0.0 3.0 3.0 1.0 -2 3 -0.7 -2.2 55.6 50.0 50.0 -2.8 60.1 61.1
Mria tefancova Mria tefancova G 4 17.0 3.5 2.2 1.2 0.2 0.0 3.0 5.5 -1.2 -4 4 -1.0 -2.5 22.7 0.0 80.0 1.21 28.9 22.7
Olivia Tredrea Olivia Tredrea G 4 13.0 3.2 0.5 0.5 0.5 0.0 1.5 3.2 0.0 -7 4 -1.8 -7.8 38.5 33.3 0 -0.44 50.0 50.0
Ella Macleod Ella Macleod G 4 11.0 2.8 0.5 1.0 0.0 0.0 1.8 2.5 0.0 -11 4 -2.8 -14.4 40.0 14.3 100.0 -0.73 50.6 45.0
Phoebe Holmes Phoebe Holmes G 4 5.8 1.8 1.0 1.8 0.0 0.0 1.8 1.8 1.0 -7 4 -1.8 -12.5 28.6 20.0 100.0 -4.38 44.4 35.7
Vera Gunaydin Vera Gunaydin G 4 7.8 0.5 1.5 0.5 0.2 0.0 0.8 1.5 0.5 -12 4 -3.0 -17.2 16.7 0.0 0.0 -2.33 14.5 16.7
Kyah Smith Kyah Smith G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Zamyra Wallace Zamyra Wallace G 4 8.2 0.0 1.8 1.2 0.2 0.0 1.5 1.0 0.8 - - - - 0.0 0.0 0 - 0.0 0.0
Brooke Hallman Brooke Hallman G 0 - 0.0 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

235 located field-goal attempts in 4 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).

D'este36% Lusby30% Kurkowski40% Geara100% Kurkowski33% Kurkowski50% Kurkowski30% Kurkowski33% Kurkowski33%
Points: who the team's points here most likely come from
Lusby18% Lusby24% Kurkowski18% Lusby50% Kurkowski25% Kurkowski57% tefancova60% Kurkowski48% Kurkowski40% Tredrea22%
Misses: who misses most here

Amy KurkowskiEmma D'esteBrynn LusbyOlivia TredreaJoceline GearaMria tefancova

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 39-61 63.9 78 Emma D'este 36% (28 pts) Marckalia Celestine 13% (10 pts) Brynn Lusby 18% (4 misses) Marckalia Celestine 18% (4 misses)
Paint (non-RA) 23-56 41.1 46 Brynn Lusby 30% (14 pts) Ella Macleod 13% (6 pts) Brynn Lusby 24% (8 misses) Greta Ramon 18% (6 misses)
Mid-range left 5-16 31.2 10 Amy Kurkowski 40% (4 pts) Greta Ramon 20% (2 pts) Amy Kurkowski 18% (2 misses) Greta Ramon 18% (2 misses)
Mid-range center 1-7 14.3 2 Joceline Geara 100% (2 pts) - Brynn Lusby 50% (3 misses) Amy Kurkowski 17% (1 misses)
Mid-range right 3-7 42.9 6 Amy Kurkowski 33% (2 pts) Brynn Lusby 33% (2 pts) Amy Kurkowski 25% (1 misses) Greta Ramon 25% (1 misses)
Left corner 3 4-11 36.4 12 Amy Kurkowski 50% (6 pts) Olivia Tredrea 25% (3 pts) Amy Kurkowski 57% (4 misses) Vera Gunaydin 29% (2 misses)
Right corner 3 0-5 0.0 0 - - Mria tefancova 60% (3 misses) Ella Macleod 20% (1 misses)
Above-break 3 left 10-33 30.3 30 Amy Kurkowski 30% (9 pts) Venla Ulander 30% (9 pts) Amy Kurkowski 48% (11 misses) Brynn Lusby 9% (2 misses)
Above-break 3 center 3-13 23.1 9 Amy Kurkowski 33% (3 pts) Joceline Geara 33% (3 pts) Amy Kurkowski 40% (4 misses) Venla Ulander 20% (2 misses)
Above-break 3 right 3-26 11.5 9 Amy Kurkowski 33% (3 pts) Phoebe Holmes 33% (3 pts) Olivia Tredrea 22% (5 misses) Amy Kurkowski 13% (3 misses)