Temple Owls
2022 Team Stats (2 games)
52.0
PPG
55.0
Opp
-3.0
Margin
33.6%
FG%
27.1%
3P%
60.7%
FT%
34.5
RPG
14.0
APG
15.0
TO
76.2
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 → | 1000 (#207) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1067 (#180) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.6 (#121) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.420 (#210) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-30 | @ | Georgetown Hoyas | W | 49 - 47 |
| 2022-03-08 | vs | SMU Mustangs | L | 55 - 63 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Davis
|
F | 2 | 35.0 | 13.0 | 10.0 | 1.5 | 1.0 | 0.0 | 2.5 | 12.5 | 10.5 | -64 | -10.7 | -71.1 | 32.0 | 0.0 | 76.9 | 1.31 | 42.3 | 32.0 |
J. Clinton
|
G | 2 | 23.0 | 7.5 | 2.5 | 2.5 | 0.0 | 0.0 | 2.5 | 7.0 | 3.0 | 38 | 2.5 | 17.2 | 42.9 | 33.3 | 0 | 0.75 | 53.6 | 53.6 |
C. Perea
|
F | 2 | 21.0 | 7.5 | 1.5 | 2.5 | 2.0 | 0.0 | 1.5 | 6.0 | 6.0 | 27 | 1.4 | 5.6 | 41.7 | 50.0 | 0 | 1.14 | 62.5 | 62.5 |
A. Gourdine
|
G | 2 | 25.5 | 7.0 | 5.5 | 4.5 | 3.0 | 0.5 | 3.0 | 9.5 | 8.0 | -66 | -4.4 | -30.7 | 31.6 | 22.2 | 0 | -0.16 | 36.8 | 36.8 |
E. Mayo
|
G | 2 | 21.0 | 4.5 | 2.0 | 0.5 | 0.0 | 0.0 | 0.5 | 5.5 | 1.0 | - | - | - | 27.3 | 37.5 | 0.0 | 0.44 | 37.9 | 40.9 |
J. Holmes
|
G | 2 | 22.5 | 3.5 | 3.5 | 1.0 | 1.5 | 0.0 | 2.5 | 4.5 | 2.5 | - | - | - | 22.2 | 0.0 | 60.0 | 0.57 | 31.2 | 22.2 |
A. Williamson
|
F | 2 | 10.5 | 3.5 | 1.0 | 0.0 | 0.0 | 0.5 | 0.5 | 2.5 | 2.0 | - | - | - | 60.0 | 0 | 50.0 | 0.3 | 59.5 | 60.0 |
T. East
|
G | 2 | 19.5 | 2.5 | 1.5 | 1.5 | 0.5 | 1.0 | 0.5 | 4.0 | 2.5 | -27 | -1.4 | -7.1 | 25.0 | 0.0 | 50.0 | 0.59 | 28.2 | 25.0 |
S. Taylor
|
C | 2 | 9.0 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | 2.5 | 83 | 3.2 | 22.1 | 50.0 | 0 | 0 | 1.32 | 50.0 | 50.0 |
K. Wood
|
F | 2 | 13.0 | 1.0 | 2.5 | 0.0 | 1.0 | 1.0 | 0.5 | 1.5 | 3.5 | 11 | 0.6 | 2.8 | 0.0 | 0 | 50.0 | 0.52 | 21.0 | 0.0 |
M. Waleed
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 60 | 4.3 | 17.9 | 0 | 0 | 0 | 0.91 | 0 | 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