Toronto Tempo
Season:
2026
Also known as: Toronto Tempo
Program History
2026 Team Stats (44 games)
85.7
PPG
94.4
Opp
-8.7
Margin
43.5%
FG%
34.0%
3P%
80.7%
FT%
32.1
RPG
19.5
APG
13.9
TO
82.5
Est. poss./game
85.4
Adj PPG
93.2
Adj Opp PPG
#14
Scoring Rank
Model Outputs
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 โ | 851 (#14) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 824 (#13) | HCA +45 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 846 (#15) | HCA +76 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -8.0 (#14) | HCA +2.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -12.6 (#15) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.247 (#14) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.264 (#14) | AdjNet -9.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.263 (#14) | AdjNet -9.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.329 (#14) | AdjO 85.4 | AdjD 93.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.273 (#15) | AdjO 82.1 | AdjD 92.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.240 (#15) | 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 โ | 0.230 (#15) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 770 (#14) | RD 178 | GP 44 |
| Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. More โ | 0.217 (#15) | Chronological component blend with rest and venue. |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marina Mabrey
|
G | 32 | 29.5 | 20.8 | 3.3 | 3.7 | 0.9 | 0.4 | 3.1 | 15.4 | 10.6 | -182 | 32 | -5.7 | -7.7 | 44.1 | 38.5 | 88.1 | -1.56 | 59.9 | 54.8 |
Brittney Sykes
|
G | 17 | 29.4 | 18.6 | 3.5 | 3.4 | 1.2 | 0.5 | 2.1 | 14.4 | 10.6 | -28 | 17 | -1.6 | -2.2 | 41.8 | 25.8 | 89.7 | -0.24 | 54.3 | 45.1 |
Kiki Rice
|
- | 28 | 27.1 | 13.4 | 3.7 | 3.5 | 0.8 | 0.2 | 1.8 | 9.7 | 10.1 | -146 | 28 | -5.2 | -7.7 | 47.2 | 35.1 | 86.9 | -1.43 | 58.9 | 52.0 |
Isabelle Harrison
|
F | 32 | 23.7 | 12.8 | 6.9 | 1.5 | 0.8 | 0.7 | 1.8 | 10.8 | 10.1 | -167 | 32 | -5.2 | -8.8 | 42.5 | 27.8 | 73.0 | -0.7 | 50.8 | 45.7 |
Nyara Sabally
|
C | 24 | 23.9 | 12.3 | 5.2 | 1.7 | 1.0 | 0.9 | 1.6 | 8.5 | 11.0 | -82 | 24 | -3.4 | -5.7 | 52.7 | 39.2 | 72.0 | -1.02 | 61.2 | 57.6 |
Laura Juskaite
|
F | 44 | 25.4 | 11.2 | 4.2 | 1.8 | 1.4 | 0.2 | 2.1 | 8.3 | 8.4 | -196 | 44 | -4.5 | -7.0 | 46.9 | 31.9 | 81.7 | -0.69 | 58.3 | 52.9 |
Aneesah Morrow
|
F | 7 | 19.6 | 9.3 | 6.6 | 0.9 | 0.7 | 0.6 | 1.1 | 7.7 | 9.1 | -149 | 27 | -5.5 | -9.9 | 42.6 | 23.5 | 68.2 | -1.29 | 51.0 | 46.3 |
Maria Conde
|
- | 35 | 26.4 | 8.5 | 4.5 | 2.5 | 0.5 | 0.2 | 1.6 | 8.3 | 6.4 | -187 | 35 | -5.3 | -8.1 | 36.0 | 34.0 | 88.1 | -1.41 | 48.5 | 45.2 |
Julie Allemand
|
G | 33 | 28.4 | 6.0 | 3.2 | 5.5 | 1.3 | 0.4 | 1.7 | 4.3 | 10.3 | -163 | 33 | -4.9 | -7.0 | 53.2 | 41.9 | 71.4 | -0.76 | 67.6 | 67.0 |
Kiana Williams
|
G | 3 | 19.7 | 6.0 | 0.3 | 1.3 | 0.3 | 0.0 | 1.3 | 7.0 | -0.3 | - | - | - | - | 28.6 | 27.3 | 75.0 | - | 39.5 | 35.7 |
Temi Fagbenle
|
C | 25 | 17.8 | 5.9 | 3.4 | 1.0 | 0.5 | 0.3 | 1.3 | 4.7 | 5.1 | -162 | 25 | -6.5 | -14.6 | 50.0 | 34.4 | 56.2 | -2.36 | 55.6 | 54.7 |
Kia Nurse
|
G | 43 | 14.3 | 5.5 | 1.2 | 1.0 | 0.4 | 0.0 | 0.5 | 4.8 | 2.8 | -203 | 43 | -4.7 | -13.2 | 33.3 | 32.7 | 89.3 | -2.02 | 51.2 | 45.2 |
Ornella Bankole
|
G | 14 | 14.9 | 3.4 | 2.3 | 1.1 | 0.1 | 0.0 | 0.4 | 2.6 | 3.9 | -97 | 14 | -6.9 | -18.8 | 45.9 | 43.8 | 85.7 | -1.9 | 58.6 | 55.4 |
Tima Pouye
|
G | 19 | 9.5 | 3.2 | 0.8 | 1.2 | 0.2 | 0.0 | 0.7 | 2.9 | 1.7 | -43 | 19 | -2.3 | -9.7 | 34.5 | 30.8 | 77.8 | -0.4 | 47.7 | 41.8 |
Nikolina Miliฤ
|
F | 7 | 9.0 | 3.0 | 1.3 | 0.4 | 0.0 | 0.0 | 0.7 | 2.7 | 1.3 | -14 | 7 | -2.0 | -8.9 | 47.4 | 0.0 | 75.0 | -0.36 | 50.6 | 47.4 |
Kayla Alexander
|
C | 4 | 10.0 | 2.2 | 2.8 | 0.5 | 0.2 | 0.2 | 1.0 | 1.8 | 3.2 | - | - | - | - | 42.9 | 0 | 75.0 | - | 51.4 | 42.9 |
Teonni Key
|
- | 39 | 11.1 | 2.2 | 2.1 | 0.5 | 0.4 | 0.5 | 0.6 | 2.3 | 2.8 | -148 | 39 | -3.8 | -13.7 | 38.2 | 14.3 | 54.2 | -1.97 | 42.2 | 39.9 |
Zaay Green
|
- | 7 | 9.6 | 2.1 | 1.0 | 0.1 | 0.1 | 0.0 | 0.6 | 2.9 | 0.0 | - | - | - | - | 30.0 | 21.4 | 0 | - | 37.5 | 37.5 |
Mariella Fasoula
|
- | 3 | 5.0 | 1.3 | 1.0 | 0.3 | 0.3 | 0.7 | 0.7 | 1.7 | 1.3 | -2 | 3 | -0.7 | -5.2 | 40.0 | 0 | 0 | -0.47 | 40.0 | 40.0 |
Lexi Held
|
G | 8 | 7.6 | 1.1 | 0.8 | 0.9 | 0.1 | 0.0 | 0.5 | 1.2 | 1.1 | -39 | 42 | -0.9 | -2.4 | 30.0 | 50.0 | 100.0 | -0.64 | 43.1 | 40.0 |
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 Shot Zones
2994 located field-goal attempts in 44 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).
Marina MabreyLaura JuskaiteIsabelle HarrisonKiki RiceMaria CondeBrittney SykesKia Nurse
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 563-917 | 61.4 | 1126 | Laura Juskaite 17% (190 pts) | Isabelle Harrison 13% (152 pts) | Isabelle Harrison 16% (56 misses) | Laura Juskaite 15% (54 misses) |
| Paint (non-RA) | 210-547 | 38.4 | 420 | Isabelle Harrison 19% (80 pts) | Laura Juskaite 14% (60 pts) | Isabelle Harrison 18% (60 misses) | Marina Mabrey 15% (50 misses) |
| Mid-range left | 36-112 | 32.1 | 72 | Kiki Rice 19% (14 pts) | Marina Mabrey 19% (14 pts) | Isabelle Harrison 16% (12 misses) | Kiki Rice 14% (11 misses) |
| Mid-range center | 32-82 | 39.0 | 64 | Marina Mabrey 25% (16 pts) | Brittney Sykes 16% (10 pts) | Brittney Sykes 28% (14 misses) | Maria Conde 16% (8 misses) |
| Mid-range right | 48-119 | 40.3 | 96 | Marina Mabrey 31% (30 pts) | Kiki Rice 17% (16 pts) | Marina Mabrey 23% (16 misses) | Isabelle Harrison 14% (10 misses) |
| Left corner 3 | 34-96 | 35.4 | 102 | Marina Mabrey 26% (27 pts) | Kia Nurse 15% (15 pts) | Laura Juskaite 18% (11 misses) | Marina Mabrey 13% (8 misses) |
| Right corner 3 | 28-75 | 37.3 | 84 | Maria Conde 21% (18 pts) | Kia Nurse 14% (12 pts) | Kia Nurse 15% (7 misses) | Maria Conde 15% (7 misses) |
| Above-break 3 left | 147-438 | 33.6 | 441 | Marina Mabrey 24% (105 pts) | Kia Nurse 14% (63 pts) | Marina Mabrey 17% (50 misses) | Maria Conde 15% (45 misses) |
| Above-break 3 center | 78-219 | 35.6 | 234 | Marina Mabrey 36% (84 pts) | Julie Allemand 12% (27 pts) | Marina Mabrey 35% (49 misses) | Laura Juskaite 13% (18 misses) |
| Above-break 3 right | 128-389 | 32.9 | 384 | Marina Mabrey 25% (96 pts) | Laura Juskaite 15% (57 pts) | Marina Mabrey 21% (56 misses) | Maria Conde 16% (42 misses) |