Pittsburgh Panthers
2022 Team Stats (9 games)
53.2
PPG
72.3
Opp
-19.1
Margin
35.1%
FG%
28.5%
3P%
63.5%
FT%
39.0
RPG
9.6
APG
21.7
TO
85.0
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 → | 971 (#270) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1010 (#229) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.9 (#209) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.080 (#340) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-25 | @ | Texas A&M Aggies | L | 46 - 57 |
| 2021-12-10 | vs | NC State Wolfpack | L | 54 - 89 |
| 2021-12-19 | @ | Notre Dame Fighting Irish | L | 59 - 85 |
| 2021-12-30 | vs | Georgia Tech Yellow Jackets | - | Preview |
| 2022-01-06 | @ | Louisville Cardinals | L | 39 - 81 |
| 2022-01-11 | vs | Georgia Tech Yellow Jackets | L | 52 - 63 |
| 2022-01-23 | vs | Notre Dame Fighting Irish | L | 63 - 77 |
| 2022-02-10 | @ | North Carolina Tar Heels | L | 54 - 64 |
| 2022-02-15 | @ | Boston College Eagles | L | 57 - 69 |
| 2022-02-24 | vs | Louisville Cardinals | L | 55 - 66 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Everett
|
G | 5 | 26.2 | 12.0 | 3.0 | 2.2 | 1.4 | 0.6 | 2.6 | 14.4 | 2.2 | - | - | - | 31.9 | 37.1 | 25.0 | 0.78 | 40.7 | 41.0 |
D. Harris
|
G | 9 | 26.6 | 9.4 | 2.4 | 2.6 | 0.8 | 0.0 | 4.2 | 10.8 | 0.2 | -55 | -2.9 | -28.0 | 33.0 | 14.3 | 79.2 | 0.47 | 39.5 | 34.0 |
A. Brown
|
F | 9 | 25.3 | 8.1 | 3.9 | 1.4 | 1.1 | 0.0 | 3.1 | 5.3 | 6.1 | -23 | -1.2 | -7.1 | 50.0 | 0 | 65.8 | 0.62 | 56.4 | 50.0 |
L. King
|
- | 6 | 20.2 | 6.5 | 7.0 | 0.5 | 0.8 | 0.3 | 2.2 | 6.2 | 6.8 | 49 | 4.1 | 21.8 | 45.9 | 0 | 55.6 | 0.96 | 47.6 | 45.9 |
D. Strother
|
G | 9 | 21.8 | 6.2 | 2.0 | 0.3 | 0.4 | 0.2 | 0.7 | 6.3 | 2.2 | -48 | -2.1 | -10.4 | 31.6 | 34.9 | 83.3 | 0.98 | 46.9 | 44.7 |
R. Igbokwe
|
C | 9 | 21.6 | 4.8 | 7.2 | 0.6 | 0.9 | 2.6 | 1.2 | 5.6 | 9.2 | -60 | -3.2 | -25.7 | 38.0 | 0 | 35.7 | 0.25 | 38.3 | 38.0 |
T. Exanor
|
F | 8 | 18.2 | 4.2 | 2.4 | 0.5 | 0.8 | 0.2 | 2.9 | 4.0 | 1.2 | - | - | - | 46.9 | 11.1 | 50.0 | 0.91 | 49.1 | 48.4 |
E. Hayford
|
G | 9 | 20.0 | 3.8 | 1.2 | 1.2 | 0.8 | 0.0 | 2.9 | 4.8 | -0.7 | -54 | -2.7 | -33.6 | 25.6 | 12.5 | 78.6 | 0.22 | 34.6 | 26.7 |
T. Hueston
|
F | 6 | 10.5 | 1.8 | 2.0 | 0.2 | 0.2 | 0.2 | 0.7 | 1.7 | 2.0 | -54 | -4.9 | -32.2 | 50.0 | 33.3 | 0 | 0.24 | 55.0 | 55.0 |
S. Clesca
|
G | 7 | 10.6 | 1.7 | 2.0 | 1.0 | 0.4 | 0.1 | 1.1 | 2.4 | 1.7 | 35 | 1.8 | 9.3 | 17.6 | 33.3 | 83.3 | 1.45 | 30.5 | 20.6 |
M. Johnson
|
G | 8 | 11.4 | 1.6 | 1.5 | 0.4 | 0.0 | 0.0 | 0.5 | 2.2 | 0.8 | -62 | -1.9 | -9.9 | 27.8 | 30.0 | 0.0 | 0.14 | 35.2 | 36.1 |
C. Ezeja
|
F | 8 | 10.2 | 1.2 | 3.5 | 0.1 | 0.2 | 1.0 | 0.6 | 1.8 | 3.8 | - | - | - | 35.7 | 0 | 0.0 | 0.45 | 33.6 | 35.7 |
M. Dunn
|
F | 8 | 6.9 | 1.1 | 2.4 | 0.1 | 0.0 | 0.1 | 0.6 | 2.5 | 0.6 | - | - | - | 20.0 | 0.0 | 50.0 | 0.72 | 21.6 | 20.0 |
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