New Mexico Lobos
2022 Team Stats (4 games)
76.5
PPG
74.3
Opp
-0.6
Margin
48.2%
FG%
41.9%
3P%
71.8%
FT%
32.0
RPG
14.0
APG
15.5
TO
79.6
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 → | 1428 (#34) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1330 (#81) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 938 (#568) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.4 (#69) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.1 (#219) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.305 (#91) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.547 (#110) | NetEff +1.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.147 (#102) | AdjNet -15.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.144 (#102) | AdjNet -15.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.480 (#319) | AdjO 71.0 | AdjD 71.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.684 (#205) | 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 → | 0.639 (#213) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1009 (#211) | RD 138 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Horvath
|
F | 1 | 25.0 | 19.0 | 3.0 | 3.0 | 0.0 | 0.0 | 2.0 | 0.0 | 23.0 | 209 | 6.1 | 7.9 | 0 | 0 | 0 | 1.2 | 0 | 0 |
J. Mashburn Jr.
|
G | 29 | 33.4 | 17.5 | 2.7 | 1.9 | 0.7 | 0.1 | 2.0 | 3.3 | 17.5 | -91 | -3.6 | -6.8 | 51.0 | 40.0 | 83.9 | 2.05 | 231.2 | 57.3 |
J. House
|
- | 28 | 31.8 | 16.9 | 3.7 | 4.5 | 2.3 | 0.3 | 3.5 | 3.0 | 21.2 | 22 | 0.7 | 1.0 | 41.2 | 31.4 | 89.2 | 0.48 | 234.0 | 47.6 |
B. Baruti
|
F | 1 | 26.0 | 15.0 | 9.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 25.0 | 105 | 3.3 | 8.8 | 0 | 0 | 0 | 0.91 | 0 | 0 |
KJ Jenkins
|
- | 27 | 23.5 | 10.4 | 3.4 | 0.9 | 0.5 | 0.0 | 0.8 | 2.0 | 12.4 | 12 | 0.4 | 0.7 | 41.5 | 35.1 | 100.0 | 0.02 | 253.6 | 53.8 |
J. Allen-Tovar
|
F | 8 | 24.4 | 9.2 | 5.1 | 0.2 | 0.4 | 1.6 | 1.5 | 3.0 | 12.1 | 31 | 1.0 | 1.7 | 58.3 | 50.0 | 42.9 | 0.69 | 136.6 | 66.7 |
E. Winchester
|
G | 1 | 28.0 | 8.0 | 2.0 | 6.0 | 2.0 | 0.0 | 4.0 | 0.0 | 14.0 | 71 | 2.3 | 4.1 | 0 | 0 | 0 | 0.43 | 0 | 0 |
G. Muscadin
|
F | 3 | 19.7 | 8.0 | 2.0 | 1.0 | 1.3 | 1.0 | 2.0 | 2.0 | 9.3 | 8 | 0.7 | 1.3 | 16.7 | 0 | 50.0 | 0.46 | 154.6 | 16.7 |
J. Johnson
|
G | 29 | 28.2 | 7.2 | 4.5 | 0.8 | 0.6 | 0.3 | 0.6 | 1.4 | 11.4 | -43 | -8.6 | -31.6 | 61.0 | 52.2 | 80.0 | 1.56 | 230.2 | 75.6 |
Emmanuel Kuac
|
G | 2 | 13.0 | 5.5 | 5.0 | 1.0 | 0.0 | 1.5 | 0.0 | 0.0 | 13.0 | 19 | 3.2 | 6.9 | 0 | 0 | 0 | 0.33 | 0 | 0 |
Taryn Todd
|
G | 7 | 17.3 | 5.0 | 2.6 | 0.9 | 0.4 | 0.7 | 0.9 | 0.9 | 7.9 | -43 | -1.5 | -4.0 | 33.3 | 0.0 | 100.0 | -0.42 | 254.4 | 33.3 |
C. Patterson
|
G | 2 | 6.5 | 4.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | 1.5 | 3.0 | - | - | - | 66.7 | 100.0 | 0 | - | 150.0 | 83.3 |
S. Singleton
|
- | 7 | 17.6 | 3.4 | 3.0 | 0.7 | 0.9 | 0.0 | 1.4 | 1.6 | 5.0 | -29 | -1.2 | -2.4 | 54.5 | 50.0 | 38.5 | 0.03 | 71.8 | 59.1 |
S. Fino-A-Laself
|
- | 1 | 4.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Francis
|
G | 7 | 10.6 | 2.1 | 1.1 | 1.7 | 0.1 | 0.3 | 0.1 | 1.3 | 4.0 | 31 | 2.6 | 12.0 | 33.3 | 0.0 | 0.0 | 0.41 | 79.4 | 33.3 |
J. Arroyo
|
F | 2 | 5.0 | 2.0 | 2.0 | 0.0 | 0.5 | 0.0 | 0.0 | 1.0 | 3.5 | -25 | -2.3 | -11.6 | 100.0 | 0 | 0.0 | -0.22 | 60.2 | 100.0 |
T. Wagstaff
|
F | 1 | 2.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Forsling
|
- | 25 | 14.7 | 2.0 | 2.6 | 0.5 | 0.2 | 0.4 | 0.6 | 0.3 | 4.7 | - | - | - | 62.5 | 100.0 | 50.0 | -0.95 | 281.5 | 68.8 |
B. Seck
|
- | 17 | 8.8 | 0.6 | 2.4 | 0.5 | 0.1 | 0.3 | 0.3 | 0.2 | 3.4 | 12 | 0.7 | 2.8 | 25.0 | 0.0 | 0 | 0.08 | 137.5 | 25.0 |
N. Dorsey
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -33 | -1.5 | -3.1 | - | - | - | -0.25 | - | - |
N. Thelissen
|
F | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -23 | -1.5 | -20.2 | 0 | 0 | 0 | -0.31 | 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