Ohio Christian Trailblazers
Also known as: Ohio Christian Trailblazers
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 → | 977 (#378) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 963 (#448) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 993 (#411) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -12.9 (#683) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -40.2 (#646) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.343 (#614) | AdjO 65.6 | AdjD 72.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.086 (#633) | 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 → | 0.117 (#635) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 944 (#289) | RD 350 | GP 1 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-01-07 | @ | Oakland Golden Grizzlies | L | 40 - 108 |
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. Miller
|
- | 1 | 24.0 | 12.0 | 6.0 | 2.0 | 1.0 | 0.0 | 4.0 | 0.0 | 17.0 | - | - | - | 0 | 0 | 0 | 0.02 | 0 | 0 |
E. Newsome
|
G | 1 | 17.0 | 8.0 | 2.0 | 5.0 | 1.0 | 0.0 | 0.0 | 0.0 | 16.0 | 18 | 1.3 | 13.8 | 0 | 0 | 0 | 0.04 | 0 | 0 |
J. Salamon
|
- | 1 | 31.0 | 7.0 | 1.0 | 2.0 | 2.0 | 0.0 | 1.0 | 0.0 | 11.0 | - | - | - | 0 | 0 | 0 | -0.4 | 0 | 0 |
T. Wyman
|
- | 1 | 12.0 | 5.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 8.0 | 27 | 3.0 | 19.2 | 0 | 0 | 0 | 0.04 | 0 | 0 |
J. Barksdale
|
- | 1 | 23.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. Primmer
|
- | 1 | 13.0 | 4.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
B. Casey
|
- | 1 | 11.0 | 4.0 | 2.0 | 0.0 | 0.0 | 1.0 | 6.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
W. Morrison
|
- | 1 | 22.0 | 3.0 | 4.0 | 2.0 | 0.0 | 0.0 | 2.0 | 0.0 | 7.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
I. Siemon
|
- | 1 | 14.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Lowe
|
- | 1 | 14.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | -2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Wilhelm
|
- | 1 | 11.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Burns
|
- | 1 | 11.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Y. Lazard
|
- | 1 | 26.0 | 0.0 | 4.0 | 1.0 | 0.0 | 1.0 | 3.0 | 0.0 | 3.0 | - | - | - | 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