Portland Trail Blazers
2018 Team Stats (78 games)
92.7
PPG
102.1
Opp
+0.4
Margin
45.4%
FG%
36.2%
3P%
79.1%
FT%
39.9
RPG
4.5
APG
0.5
TO
84.7
Pace
Model Outputs
2017-2018
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 → | 1158 (#12) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1093 (#46) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.9 (#20) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.468 (#22) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-03-23 | vs | BOS | L | 100 - 105 |
| 2018-03-25 | @ | OKC | W | 108 - 105 |
| 2018-03-27 | @ | NOP | W | 107 - 103 |
| 2018-03-28 | @ | MEM | L | 103 - 108 |
| 2018-03-30 | vs | LAC | W | 105 - 96 |
| 2018-04-01 | vs | MEM | W | 113 - 98 |
| 2018-04-03 | @ | DAL | L | 109 - 115 |
| 2018-04-05 | @ | HOU | L | 94 - 96 |
| 2018-04-07 | @ | SAS | L | 105 - 116 |
| 2018-04-09 | @ | DEN | L | 82 - 88 |
| 2018-04-11 | vs | UTA | W | 102 - 93 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Damian Lillard
|
G | 9 | 37.1 | 28.7 | 4.7 | 7.2 | 1.4 | 0.1 | 1.8 | 21.6 | 18.8 | - | - | - | 42.8 | 29.9 | 93.0 | - | 57.3 | 49.5 |
CJ McCollum
|
G | 11 | 36.1 | 20.5 | 4.4 | 4.4 | 1.2 | 0.5 | 2.2 | 19.9 | 8.8 | - | - | - | 42.0 | 30.2 | 79.3 | - | 48.8 | 46.3 |
Jusuf Nurkić
|
C | 11 | 28.2 | 15.1 | 11.0 | 1.5 | 1.2 | 2.0 | 1.8 | 11.8 | 17.2 | - | - | - | 58.5 | 0 | 51.9 | - | 58.5 | 58.5 |
Maurice Harkless
|
F | 2 | 30.5 | 12.0 | 5.0 | 2.5 | 0.0 | 2.0 | 0.0 | 9.0 | 12.5 | - | - | - | 55.6 | 42.9 | 50.0 | - | 63.6 | 63.9 |
| Evan Turner | F | 11 | 27.2 | 8.7 | 2.3 | 1.7 | 0.8 | 0.5 | 1.0 | 7.6 | 5.5 | - | - | - | 45.2 | 31.0 | 84.6 | - | 53.5 | 50.6 |
Al-Farouq Aminu
|
F | 11 | 30.1 | 8.5 | 8.5 | 1.2 | 2.1 | 0.5 | 1.6 | 9.1 | 10.0 | - | - | - | 35.0 | 21.3 | 71.4 | - | 43.8 | 41.5 |
| Shabazz Napier | G | 10 | 19.3 | 7.1 | 2.8 | 1.5 | 0.7 | 0.0 | 1.2 | 7.0 | 3.9 | - | - | - | 34.3 | 34.4 | 85.7 | - | 46.6 | 42.1 |
| Wade Baldwin IV | - | 6 | 12.3 | 6.2 | 1.2 | 0.8 | 0.3 | 0.2 | 0.5 | 3.5 | 4.7 | - | - | - | 66.7 | 80.0 | 62.5 | - | 75.4 | 76.2 |
Zach Collins
|
- | 11 | 16.9 | 4.7 | 2.9 | 1.0 | 0.1 | 0.5 | 1.0 | 5.1 | 3.2 | - | - | - | 37.5 | 20.0 | 71.4 | - | 44.0 | 42.0 |
Meyers Leonard
|
- | 6 | 7.8 | 3.8 | 2.5 | 0.7 | 0.3 | 0.0 | 0.5 | 2.7 | 4.2 | - | - | - | 62.5 | 40.0 | 100.0 | - | 70.0 | 68.8 |
Pat Connaughton
|
- | 11 | 17.0 | 3.4 | 2.6 | 0.8 | 0.4 | 0.3 | 0.6 | 3.8 | 3.0 | - | - | - | 33.3 | 26.9 | 66.7 | - | 42.7 | 41.7 |
| Caleb Swanigan | - | 6 | 6.5 | 3.0 | 2.7 | 0.7 | 0.0 | 0.0 | 0.8 | 2.3 | 3.2 | - | - | - | 50.0 | 0.0 | 80.0 | - | 55.6 | 50.0 |
Ed Davis
|
- | 7 | 16.3 | 3.0 | 5.3 | 0.6 | 0.0 | 0.7 | 1.0 | 2.7 | 5.9 | - | - | - | 47.4 | 0.0 | 75.0 | - | 50.6 | 47.4 |
| Georgios Papagiannis | - | 1 | 3.0 | 2.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 4.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
Jake Layman
|
- | 4 | 1.5 | 1.0 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | 1.0 | - | - | - | 66.7 | 0.0 | 0 | - | 66.7 | 66.7 |
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