Duquesne Dukes
2026 Team Stats (31 games)
63.8
PPG
65.1
Opp
-1.3
Margin
37.9%
FG%
32.5%
3P%
69.6%
FT%
41.5
RPG
11.1
APG
19.2
TO
72.7
Est. poss./game
61.1
Adj PPG
65.5
Adj Opp PPG
#218
Scoring Rank
Model Outputs
2025-2026
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 → | 924 (#213) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 899 (#244) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 936 (#254) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.6 (#215) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.0 (#222) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.316 (#236) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.316 (#236) | NetEff -5.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.278 (#229) | AdjNet -8.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.272 (#231) | AdjNet -8.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.401 (#218) | AdjO 61.1 | AdjD 65.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.395 (#248) | AdjO 60.1 | AdjD 64.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.355 (#236) | 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. More → | 0.354 (#242) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 929 (#223) | RD 152 | GP 29 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexis Bordas
|
G | 31 | 32.9 | 15.5 | 3.1 | 1.6 | 1.5 | 0.0 | 2.1 | 14.3 | 5.4 | 9 | 25 | 0.4 | 0.4 | 35.7 | 34.6 | 88.2 | 3.03 | 50.2 | 45.9 |
Nadia Moore
|
G | 6 | 19.0 | 12.8 | 3.0 | 0.7 | 0.8 | 0.0 | 2.5 | 11.7 | 3.2 | 23 | 5 | 4.6 | 9.6 | 44.3 | 18.5 | 83.3 | 0.87 | 51.1 | 47.9 |
Mackenzie Blackford
|
G | 31 | 32.0 | 10.6 | 2.8 | 1.5 | 1.3 | 0.1 | 2.1 | 10.2 | 4.0 | -29 | 25 | -1.2 | -1.4 | 35.1 | 34.6 | 72.1 | 0.95 | 49.0 | 47.0 |
Reina Green
|
G | 31 | 25.2 | 7.8 | 5.2 | 1.5 | 1.0 | 0.2 | 2.6 | 6.5 | 6.6 | -61 | 25 | -2.4 | -3.8 | 36.6 | 33.8 | 71.3 | -0.77 | 49.3 | 42.3 |
Gabby Grantham-Medley
|
G | 27 | 22.6 | 7.3 | 3.9 | 2.0 | 0.9 | 0.0 | 1.9 | 7.9 | 4.4 | 1 | 21 | 0.0 | 0.1 | 33.5 | 33.3 | 66.1 | 0.7 | 41.2 | 37.0 |
Harriet Ford
|
F | 28 | 16.2 | 6.6 | 6.9 | 1.0 | 0.3 | 0.1 | 2.5 | 6.1 | 6.3 | 33 | 23 | 1.4 | 3.7 | 46.2 | 0 | 60.9 | 0.12 | 48.6 | 46.2 |
Raevin Washington
|
F | 30 | 16.8 | 5.1 | 4.3 | 0.6 | 0.4 | 1.6 | 2.3 | 4.9 | 4.8 | -63 | 24 | -2.6 | -6.4 | 47.3 | 0 | 43.2 | -4.37 | 47.4 | 47.3 |
Fatou Sane
|
G | 31 | 15.5 | 3.1 | 2.9 | 0.7 | 1.3 | 0.3 | 1.8 | 3.4 | 3.0 | -45 | 25 | -1.8 | -4.8 | 34.3 | 21.1 | 82.6 | -1.41 | 41.3 | 36.2 |
Dunja Zecevic
|
F | 29 | 8.1 | 2.9 | 1.7 | 0.3 | 0.3 | 0.4 | 0.4 | 2.6 | 2.6 | 7 | 22 | 0.3 | 2.0 | 44.6 | 20.0 | 58.3 | -1.05 | 49.1 | 46.6 |
Faith Walker
|
G | 31 | 19.0 | 2.5 | 2.7 | 1.2 | 0.5 | 0.2 | 1.7 | 3.2 | 2.2 | -92 | 25 | -3.7 | -7.6 | 30.3 | 11.1 | 63.6 | -5.01 | 35.0 | 31.3 |
Maja Rohkohl
|
C | 31 | 9.1 | 1.5 | 3.4 | 0.3 | 0.3 | 0.3 | 0.7 | 1.2 | 3.7 | -61 | 25 | -2.4 | -11.2 | 50.0 | 0 | 43.8 | -4.43 | 50.0 | 50.0 |
Kellie McConnell
|
G | 31 | 6.2 | 0.5 | 0.9 | 0.6 | 0.2 | 0.0 | 0.5 | 0.4 | 1.3 | -22 | 24 | -0.9 | -6.4 | 41.7 | 40.0 | 100.0 | -3.76 | 54.3 | 50.0 |
Raymi Coueta
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Bakhaw Seye
|
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
Alumni in the Pros
Former Duquesne Dukes players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Duquesne Dukes game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-05-02 | M. McConnell | WNBA Preseason | Indiana Fever | vs NIGERIA | 12 | 0 | 3 | 3 | Box |
| 2026-04-30 | M. McConnell | WNBA Preseason | Indiana Fever | vs Dallas Wings | 9 | 0 | 2 | 0 | Box |
| 2026-04-25 | M. McConnell | WNBA Preseason | Indiana Fever | @ New York Liberty | 11 | 0 | 1 | 4 | Box |
2025-2026 Shot Zones
1886 located field-goal attempts in 31 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).
Alexis BordasMackenzie BlackfordHarriet FordGabby Grantham-MedleyRaevin Washington
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 233-462 | 50.4 | 466 | Harriet Ford 19% (90 pts) | Raevin Washington 15% (70 pts) | Harriet Ford 22% (50 misses) | Alexis Bordas 14% (31 misses) |
| Paint (non-RA) | 178-450 | 39.6 | 356 | Harriet Ford 17% (62 pts) | Raevin Washington 17% (60 pts) | Alexis Bordas 18% (49 misses) | Reina Green 14% (38 misses) |
| Mid-range left | 36-120 | 30.0 | 72 | Alexis Bordas 31% (22 pts) | Gabby Grantham-Medley 19% (14 pts) | Gabby Grantham-Medley 23% (19 misses) | Alexis Bordas 20% (17 misses) |
| Mid-range center | 16-59 | 27.1 | 32 | Alexis Bordas 31% (10 pts) | Reina Green 25% (8 pts) | Raevin Washington 23% (10 misses) | Alexis Bordas 21% (9 misses) |
| Mid-range right | 34-122 | 27.9 | 68 | Gabby Grantham-Medley 21% (14 pts) | Fatou Sane 18% (12 pts) | Gabby Grantham-Medley 32% (28 misses) | Reina Green 18% (16 misses) |
| Left corner 3 | 9-29 | 31.0 | 27 | Alexis Bordas 33% (9 pts) | Mackenzie Blackford 33% (9 pts) | Alexis Bordas 25% (5 misses) | Faith Walker 25% (5 misses) |
| Right corner 3 | 16-61 | 26.2 | 48 | Alexis Bordas 44% (21 pts) | Reina Green 31% (15 pts) | Mackenzie Blackford 29% (13 misses) | Reina Green 24% (11 misses) |
| Above-break 3 left | 79-226 | 35.0 | 237 | Mackenzie Blackford 43% (102 pts) | Alexis Bordas 39% (93 pts) | Alexis Bordas 39% (58 misses) | Mackenzie Blackford 38% (56 misses) |
| Above-break 3 center | 42-125 | 33.6 | 126 | Alexis Bordas 43% (54 pts) | Mackenzie Blackford 26% (33 pts) | Alexis Bordas 49% (41 misses) | Mackenzie Blackford 25% (21 misses) |
| Above-break 3 right | 73-232 | 31.5 | 219 | Alexis Bordas 42% (93 pts) | Mackenzie Blackford 33% (72 pts) | Alexis Bordas 35% (56 misses) | Mackenzie Blackford 30% (48 misses) |