Temple
2022 Team Stats (1 games)
46.0
PPG
65.6
Opp
+1.3
Margin
31.0%
FG%
25.0%
3P%
60.7%
FT%
32.0
RPG
6.0
APG
20.0
TO
74.3
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 → | 1286 (#84) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1258 (#126) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1011 (#168) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.2 (#120) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +17.8 (#93) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.001 (#344) | NetEff -54.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.566 (#166) | AdjO 67.5 | AdjD 64.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.802 (#119) | 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 → | 0.767 (#125) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1123 (#127) | RD 134 | GP 25 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Battle
|
- | 3 | 32.7 | 23.0 | 5.0 | 1.3 | 0.3 | 0.0 | 2.7 | 5.7 | 21.3 | 22 | 3.1 | 4.0 | 52.9 | 45.5 | 83.3 | 0.35 | 175.7 | 67.6 |
M. Wang
|
F | 1 | 29.0 | 21.0 | 8.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 31.0 | -20 | -2.5 | -6.7 | 0 | 0 | 0 | -0.22 | 0 | 0 |
D. Dunn
|
G | 23 | 30.3 | 14.4 | 4.1 | 2.1 | 1.0 | 0.3 | 3.1 | 1.8 | 17.0 | -49 | -2.1 | -19.7 | 36.6 | 42.9 | 75.0 | 0.77 | 345.5 | 43.9 |
J. Williams
|
- | 13 | 30.0 | 10.3 | 3.6 | 3.8 | 1.0 | 0.5 | 1.9 | 1.5 | 15.8 | -84 | -3.4 | -4.5 | 35.0 | 22.2 | 83.3 | 2.24 | 240.0 | 40.0 |
Z. Hicks
|
F | 19 | 21.8 | 7.8 | 4.6 | 0.5 | 0.7 | 0.4 | 0.6 | 1.3 | 12.3 | 41 | 1.5 | 2.7 | 41.7 | 36.8 | 66.7 | 0.8 | 294.2 | 56.2 |
Jahlil White
|
- | 25 | 26.8 | 7.5 | 6.3 | 1.6 | 1.2 | 0.6 | 2.2 | 1.4 | 13.7 | 21 | 0.7 | 1.1 | 25.7 | 20.0 | 61.1 | 0.47 | 219.0 | 28.6 |
J. Forrester
|
- | 9 | 17.6 | 7.1 | 4.2 | 0.4 | 0.3 | 1.1 | 0.6 | 0.0 | 12.7 | 5 | 0.3 | 0.8 | 0 | 0 | 0 | 0.12 | 0 | 0 |
T. Strickland
|
- | 12 | 23.0 | 6.5 | 3.8 | 1.8 | 0.8 | 0.2 | 1.2 | 0.0 | 11.8 | 49 | 2.9 | 6.0 | 0 | 0 | 0 | 0.6 | 0 | 0 |
N. Jourdain
|
F | 25 | 23.3 | 6.5 | 5.3 | 0.7 | 0.6 | 1.6 | 1.2 | 1.1 | 12.4 | - | - | - | 40.7 | 50.0 | 77.8 | 0.64 | 263.2 | 46.3 |
H. Miller
|
- | 17 | 21.2 | 6.1 | 2.5 | 1.7 | 0.5 | 0.2 | 1.2 | 0.0 | 9.8 | 21 | 3.5 | 13.2 | 0 | 0 | 0 | 0.38 | 0 | 0 |
D. Doutrive
|
G | 1 | 26.0 | 6.0 | 6.0 | 4.0 | 0.0 | 0.0 | 2.0 | 0.0 | 14.0 | 9 | 1.3 | 1.8 | 0 | 0 | 0 | 0.03 | 0 | 0 |
Q. Ademokoya
|
G | 7 | 15.9 | 3.4 | 1.4 | 0.3 | 0.4 | 0.0 | 0.7 | 0.0 | 4.9 | -4 | -0.3 | -1.1 | 0 | 0 | 0 | 0.02 | 0 | 0 |
S. Tolbert III
|
- | 20 | 15.6 | 3.2 | 4.0 | 0.6 | 0.8 | 0.3 | 0.8 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
D. London
|
G | 1 | 28.0 | 3.0 | 6.0 | 3.0 | 1.0 | 0.0 | 1.0 | 0.0 | 12.0 | 30 | 1.4 | 2.0 | 0 | 0 | 0 | -0.03 | 0 | 0 |
R. Elvin
|
- | 1 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -7 | -0.4 | -8.7 | 0 | 0 | 0 | -0.24 | 0 | 0 |
H. Koval
|
C | 2 | 10.5 | 2.0 | 3.5 | 0.0 | 0.0 | 1.5 | 0.0 | 0.0 | 7.0 | 12 | 0.4 | 1.2 | 0 | 0 | 0 | 0.15 | 0 | 0 |
C. Daly
|
G | 4 | 4.2 | 1.8 | 0.5 | 0.2 | 0.2 | 0.0 | 0.5 | 0.2 | 2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 350.0 | 0.0 |
Emmanuel Okpomo
|
- | 7 | 6.7 | 1.6 | 0.7 | 0.0 | 0.1 | 0.6 | 0.1 | 0.0 | 2.9 | -34 | -3.8 | -22.5 | 0 | 0 | 0 | -0.5 | 0 | 0 |
A. Parks
|
- | 13 | 11.6 | 1.2 | 2.8 | 0.2 | 0.2 | 0.2 | 0.5 | 0.0 | 4.1 | -42 | -2.2 | -8.3 | 0 | 0 | 0 | -0.55 | 0 | 0 |
R. Walker Jr.
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 130 | 4.6 | 9.8 | - | - | - | 1.59 | - | - |
S. Spencer
|
G | 1 | 17.0 | 0.0 | 2.0 | 2.0 | 1.0 | 0.0 | 2.0 | 0.0 | 3.0 | -61 | -2.8 | -11.4 | 0 | 0 | 0 | -0.92 | 0 | 0 |
Q. Scott
|
F | 2 | 2.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -0.5 | -13 | -0.9 | -5.8 | 0 | 0 | 0 | -0.42 | 0 | 0 |
B. Matos
|
F | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | -48 | -1.7 | -6.2 | 0 | 0 | 0 | -0.14 | 0 | 0 |
Shane Dezonie
|
G | 1 | 13.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | -2.0 | -30 | -0.9 | -3.0 | 0.0 | 0 | 0 | -0.4 | 0.0 | 0.0 |
M. Mensah
|
G | 1 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 23 | 0.9 | 3.5 | 0 | 0 | 0 | 0.41 | 0 | 0 |
M. Akinsanya
|
F | 1 | 10.0 | 0.0 | 3.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 6.0 | -15 | -0.6 | -1.7 | 0 | 0 | 0 | -0.46 | 0 | 0 |
M. Milivojevic
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | -20 | -1.5 | -11.1 | 0 | 0 | 0 | -0.32 | 0 | 0 |
R. Sayers
|
- | 2 | 3.0 | 0.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | - | - | - | 0 | 0 | 0 | - | 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