Hawai'i Hilo Vulcans
Also known as: Hawai'i Hilo Vulcans
Program History
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 → | 906 (#658) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 877 (#703) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 994 (#389) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.6 (#463) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -9.1 (#467) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.465 (#409) | AdjO 68.9 | AdjD 70.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.337 (#437) | 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 → | 0.369 (#423) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 858 (#555) | RD 350 | GP 2 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-10 | @ | Hawai'i Rainbow Warriors | L | 67 - 97 |
| 2021-11-11 | vs | Pacific Tigers | L | 74 - 85 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Williams
|
- | 2 | 31.5 | 11.5 | 5.0 | 2.5 | 3.5 | 0.0 | 1.5 | 0.0 | 21.0 | -43 | -1.4 | -2.9 | 0 | 0 | 0 | 1.71 | 0 | 0 |
J. Strong
|
- | 2 | 20.0 | 10.5 | 1.0 | 1.0 | 0.5 | 0.0 | 0.5 | 0.0 | 12.5 | -127 | -4.1 | -9.0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
K. Ng
|
- | 2 | 18.0 | 6.5 | 2.5 | 0.5 | 0.5 | 0.0 | 2.0 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | -0.18 | 0 | 0 |
E. Jetter
|
- | 2 | 17.5 | 5.5 | 3.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 8.5 | - | - | - | 0 | 0 | 0 | 0.11 | 0 | 0 |
P. Grant
|
- | 2 | 9.0 | 4.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 5.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Eberhard
|
- | 1 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Haskett
|
- | 2 | 2.5 | 1.5 | 1.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 3.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Hubbell
|
- | 2 | 16.5 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.5 | 0.0 | 2.5 | - | - | - | 0 | 0 | 0 | 0.05 | 0 | 0 |
Max Kunnert
|
G | 2 | 21.5 | 1.0 | 2.0 | 1.0 | 1.5 | 0.0 | 0.5 | 0.0 | 5.0 | - | - | - | 0 | 0 | 0 | -0.59 | 0 | 0 |
E. Borg
|
- | 2 | 5.0 | 1.0 | 1.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Power
|
- | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Apele
|
- | 1 | 10.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 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