Portland Pilots
2022 Team Stats (4 games)
73.0
PPG
72.4
Opp
+1.5
Margin
42.3%
FG%
32.1%
3P%
72.9%
FT%
38.8
RPG
14.0
APG
10.0
TO
81.0
Pace
Model Outputs
2021-2022
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 → | 1029 (#254) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1136 (#208) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +19.7 (#233) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.266 (#99) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.520 (#118) | NetEff +0.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.227 (#94) | AdjNet -10.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.225 (#94) | AdjNet -10.8 |
2022 Schedule & Results
2022 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Lucas
|
G | 1 | 32.0 | 16.0 | 3.0 | 7.0 | 2.0 | 0.0 | 2.0 | 0.0 | 26.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Robertson
|
- | 28 | 36.1 | 14.9 | 6.2 | 4.5 | 1.3 | 0.3 | 2.4 | 3.2 | 21.6 | - | - | - | 41.6 | 34.3 | 88.5 | - | 208.1 | 48.3 |
Chris Austin
|
G | 30 | 32.8 | 14.1 | 4.7 | 2.0 | 0.4 | 0.3 | 2.0 | 2.9 | 16.7 | - | - | - | 39.5 | 29.4 | 88.9 | - | 225.2 | 45.3 |
M. Wood
|
- | 12 | 30.4 | 12.0 | 5.8 | 1.7 | 0.8 | 0.4 | 2.1 | 4.4 | 14.2 | - | - | - | 45.3 | 46.2 | 69.2 | - | 122.6 | 56.6 |
M. Meadows
|
- | 24 | 35.6 | 10.4 | 3.4 | 3.0 | 0.9 | 0.1 | 1.7 | 1.5 | 14.6 | - | - | - | 43.2 | 12.5 | 100.0 | - | 298.8 | 44.6 |
K. Sjolund
|
- | 29 | 18.6 | 7.2 | 3.8 | 0.4 | 0.4 | 0.5 | 0.8 | 1.8 | 9.8 | - | - | - | 45.3 | 33.3 | 73.3 | - | 175.3 | 55.7 |
M. Silveira
|
C | 8 | 10.4 | 5.8 | 2.5 | 0.5 | 0.0 | 0.6 | 0.8 | 2.5 | 6.1 | - | - | - | 60.0 | 0 | 33.3 | - | 107.9 | 60.0 |
Chika Nduka
|
- | 9 | 20.6 | 5.3 | 4.4 | 1.0 | 0.1 | 0.1 | 1.1 | 3.0 | 6.9 | - | - | - | 55.6 | 0.0 | 0.0 | - | 86.1 | 55.6 |
J. Perry
|
- | 4 | 25.2 | 5.2 | 2.8 | 2.8 | 1.2 | 0.0 | 1.0 | 0.5 | 10.5 | - | - | - | 50.0 | 100.0 | 0 | - | 525.0 | 75.0 |
W. Watson
|
F | 3 | 5.0 | 3.0 | 0.7 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 4.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Svetozarevic
|
- | 8 | 9.8 | 2.5 | 1.2 | 0.5 | 0.1 | 0.0 | 0.2 | 1.0 | 3.1 | - | - | - | 25.0 | 0.0 | 100.0 | - | 102.5 | 25.0 |
V. Vucinic
|
- | 26 | 7.6 | 2.1 | 1.8 | 0.3 | 0.0 | 0.3 | 1.1 | 0.3 | 3.1 | - | - | - | 55.6 | 0 | 50.0 | - | 278.3 | 55.6 |
N. Milosevic
|
G | 7 | 6.9 | 1.3 | 1.3 | 0.3 | 0.4 | 0.0 | 0.3 | 0.3 | 2.7 | - | - | - | 0.0 | 0.0 | 100.0 | - | 156.2 | 0.0 |
Y. Harvey
|
G | 8 | 6.2 | 1.2 | 0.4 | 1.1 | 0.4 | 0.1 | 1.0 | 0.1 | 2.1 | - | - | - | 100.0 | 0 | 0.0 | - | 347.2 | 100.0 |
A. Murphy
|
F | 1 | 11.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. McGill
|
F | 1 | 11.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
N. Hansen
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 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