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 β | 727 (#14) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 824 (#13) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 846 (#15) | HCA +76 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | -8.0 (#14) | HCA +2.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | -12.6 (#15) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β | 0.247 (#14) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More β | 0.247 (#14) | NetEff -10.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.264 (#14) | AdjNet -8.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.263 (#14) | AdjNet -8.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More β | 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 β | 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 β | 0.244 (#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 β | 0.234 (#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 β | 784 (#14) | RD 178 | GP 44 |
2026 Schedule & Results
2026 Roster
Minutes by Position
Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marina Mabrey
|
G | 32 | 29.5 | 20.8 | 3.3 | 3.7 | 0.9 | 0.4 | 3.1 | 15.4 | 10.6 | - | - | - | - | 44.1 | 38.5 | 88.1 | - | 59.9 | 54.8 |
Brittney Sykes
|
G | 18 | 28.7 | 18.0 | 3.3 | 3.2 | 1.2 | 0.4 | 2.2 | 14.1 | 9.9 | - | - | - | - | 41.5 | 24.6 | 89.9 | - | 53.8 | 44.7 |
Kiki Rice
|
- | 30 | 26.7 | 13.0 | 3.5 | 3.4 | 0.8 | 0.2 | 1.8 | 9.5 | 9.7 | - | - | - | - | 47.2 | 35.5 | 86.4 | - | 58.7 | 51.9 |
Isabelle Harrison
|
F | 32 | 23.7 | 12.8 | 6.9 | 1.5 | 0.8 | 0.7 | 1.8 | 10.8 | 10.1 | - | - | - | - | 42.5 | 27.8 | 73.0 | - | 50.8 | 45.7 |
Nyara Sabally
|
C | 25 | 23.4 | 11.9 | 5.1 | 1.7 | 1.0 | 0.8 | 1.5 | 8.3 | 10.6 | - | - | - | - | 52.2 | 38.5 | 72.6 | - | 60.9 | 57.0 |
L. Juskaite
|
F | 46 | 25.3 | 11.1 | 4.3 | 1.7 | 1.4 | 0.2 | 2.1 | 8.4 | 8.3 | - | - | - | - | 46.0 | 31.0 | 81.3 | - | 57.3 | 51.7 |
M. Rocci
|
G | 1 | 14.0 | 11.0 | 2.0 | 3.0 | 1.0 | 0.0 | 3.0 | 6.0 | 8.0 | - | - | - | - | 33.3 | 0 | 100.0 | - | 60.6 | 33.3 |
Aneesah Morrow
|
F | 7 | 19.6 | 9.3 | 6.6 | 0.9 | 0.7 | 0.6 | 1.1 | 7.7 | 9.1 | - | - | - | - | 42.6 | 23.5 | 68.2 | - | 51.0 | 46.3 |
E. Balogun
|
- | 2 | 15.0 | 9.0 | 2.5 | 0.0 | 0.5 | 0.0 | 1.0 | 6.5 | 4.5 | - | - | - | - | 61.5 | 40.0 | 0 | - | 69.2 | 69.2 |
M. Conde
|
- | 35 | 26.4 | 8.5 | 4.5 | 2.5 | 0.5 | 0.2 | 1.6 | 8.3 | 6.4 | - | - | - | - | 36.0 | 34.0 | 88.1 | - | 48.5 | 45.2 |
Julie Allemand
|
G | 34 | 28.2 | 6.0 | 3.2 | 5.4 | 1.3 | 0.4 | 1.7 | 4.2 | 10.3 | - | - | - | - | 53.5 | 42.1 | 71.4 | - | 67.9 | 67.4 |
K. 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 | 27 | 17.8 | 5.7 | 3.5 | 1.0 | 0.6 | 0.3 | 1.3 | 4.7 | 5.2 | - | - | - | - | 49.2 | 33.3 | 56.2 | - | 54.5 | 53.5 |
Kia Nurse
|
G | 45 | 14.4 | 5.6 | 1.1 | 1.0 | 0.4 | 0.0 | 0.5 | 5.0 | 2.6 | - | - | - | - | 33.2 | 32.3 | 89.7 | - | 50.7 | 44.8 |
Aaliyah Nye
|
G | 2 | 18.5 | 5.5 | 1.5 | 1.5 | 1.5 | 0.0 | 1.5 | 3.5 | 5.0 | - | - | - | - | 42.9 | 42.9 | 66.7 | - | 66.1 | 64.3 |
Kristy Wallace
|
G | 1 | 17.0 | 5.0 | 2.0 | 3.0 | 0.0 | 0.0 | 1.0 | 4.0 | 5.0 | - | - | - | - | 25.0 | 33.3 | 50.0 | - | 43.4 | 37.5 |
L. Held
|
G | 10 | 10.6 | 3.5 | 0.7 | 0.9 | 0.4 | 0.1 | 0.7 | 2.8 | 2.1 | - | - | - | - | 42.9 | 53.3 | 100.0 | - | 59.7 | 57.1 |
O. Bankole
|
G | 14 | 14.9 | 3.4 | 2.3 | 1.1 | 0.1 | 0.0 | 0.4 | 2.6 | 3.9 | - | - | - | - | 45.9 | 43.8 | 85.7 | - | 58.6 | 55.4 |
T. Pouye
|
G | 19 | 9.5 | 3.2 | 0.8 | 1.2 | 0.2 | 0.0 | 0.7 | 2.9 | 1.7 | - | - | - | - | 34.5 | 30.8 | 77.8 | - | 47.7 | 41.8 |
Nikolina MiliΔ
|
F | 7 | 9.0 | 3.0 | 1.3 | 0.4 | 0.0 | 0.0 | 0.7 | 2.7 | 1.3 | - | - | - | - | 47.4 | 0.0 | 75.0 | - | 50.6 | 47.4 |
K. 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 |
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 |
Teonni Key
|
- | 41 | 11.5 | 2.1 | 2.2 | 0.5 | 0.4 | 0.5 | 0.6 | 2.3 | 2.8 | - | - | - | - | 36.5 | 13.0 | 53.6 | - | 40.6 | 38.0 |
M. Fasoula
|
- | 3 | 5.0 | 1.3 | 1.0 | 0.3 | 0.3 | 0.7 | 0.7 | 1.7 | 1.3 | - | - | - | - | 40.0 | 0 | 0 | - | 40.0 | 40.0 |
D. Mabrey
|
- | 1 | 14.0 | 0.0 | 3.0 | 1.0 | 1.0 | 0.0 | 0.0 | 4.0 | 1.0 | - | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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
3117 located field-goal attempts in 46 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 MabreyL. JuskaiteIsabelle HarrisonKiki RiceM. CondeBrittney SykesKia Nurse
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 584-952 | 61.3 | 1168 | L. Juskaite 17% (198 pts) | Isabelle Harrison 13% (152 pts) | L. Juskaite 16% (59 misses) | Isabelle Harrison 15% (56 misses) |
| Paint (non-RA) | 220-571 | 38.5 | 440 | Isabelle Harrison 18% (80 pts) | L. Juskaite 14% (62 pts) | Isabelle Harrison 17% (60 misses) | Marina Mabrey 14% (50 misses) |
| Mid-range left | 36-117 | 30.8 | 72 | Kiki Rice 19% (14 pts) | Marina Mabrey 19% (14 pts) | Isabelle Harrison 15% (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) | M. Conde 16% (8 misses) |
| Mid-range right | 49-126 | 38.9 | 98 | Marina Mabrey 31% (30 pts) | Kiki Rice 18% (18 pts) | Marina Mabrey 21% (16 misses) | Isabelle Harrison 13% (10 misses) |
| Left corner 3 | 36-103 | 35.0 | 108 | Marina Mabrey 25% (27 pts) | Kia Nurse 14% (15 pts) | L. Juskaite 18% (12 misses) | Marina Mabrey 12% (8 misses) |
| Right corner 3 | 30-77 | 39.0 | 90 | M. Conde 20% (18 pts) | Kia Nurse 13% (12 pts) | Kia Nurse 15% (7 misses) | M. Conde 15% (7 misses) |
| Above-break 3 left | 153-451 | 33.9 | 459 | Marina Mabrey 23% (105 pts) | Kia Nurse 15% (69 pts) | Marina Mabrey 17% (50 misses) | Kia Nurse 15% (45 misses) |
| Above-break 3 center | 81-229 | 35.4 | 243 | Marina Mabrey 35% (84 pts) | Julie Allemand 11% (27 pts) | Marina Mabrey 33% (49 misses) | L. Juskaite 13% (19 misses) |
| Above-break 3 right | 132-409 | 32.3 | 396 | Marina Mabrey 24% (96 pts) | L. Juskaite 14% (57 pts) | Marina Mabrey 20% (56 misses) | M. Conde 15% (42 misses) |