Youngstown State
2026 Team Stats (30 games)
74.1
PPG
73.4
Opp
+4.6
Margin
46.2%
FG%
35.4%
3P%
73.2%
FT%
32.3
RPG
14.0
APG
12.3
TO
75.8
Pace
71.4
AdjO
74.9
AdjD
#212
Rank
Model Outputs
2025-2026
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 → | 898 (#258) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 938 (#228) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#290) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.0 (#210) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.7 (#207) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.508 (#171) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.722 (#102) | NetEff +10.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.377 (#213) | AdjNet -4.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.376 (#213) | AdjNet -4.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.422 (#212) | AdjO 71.4 | AdjD 74.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.559 (#169) | AdjO 73.4 | AdjD 70.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.712 (#214) | 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 → | 0.674 (#212) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1002 (#239) | RD 157 | GP 30 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cris Carroll
|
- | 30 | 30.3 | 17.3 | 4.9 | 1.8 | 1.2 | 0.4 | 2.8 | 11.7 | 11.2 | 77 | 3.3 | 5.4 | 47.4 | 40.4 | 78.0 | 0.23 | 63.6 | 59.7 |
B. Dawkins
|
- | 30 | 26.8 | 12.7 | 4.5 | 1.4 | 0.6 | 0.1 | 1.4 | 9.7 | 8.3 | 64 | 2.8 | 5.0 | 52.8 | 30.4 | 60.5 | -0.04 | 58.7 | 57.6 |
R. Rolf
|
F | 29 | 26.7 | 8.7 | 4.6 | 2.1 | 0.8 | 0.3 | 1.0 | 6.8 | 8.8 | 106 | 4.6 | 7.9 | 44.7 | 37.4 | 86.8 | -0.68 | 59.0 | 55.6 |
V. Salaridze
|
F | 25 | 17.4 | 8.5 | 4.1 | 1.4 | 1.0 | 0.4 | 1.1 | 6.3 | 8.0 | 17 | 0.9 | 2.5 | 45.9 | 36.7 | 78.0 | -0.51 | 57.9 | 52.9 |
T. Blackshear
|
- | 28 | 15.1 | 7.1 | 1.7 | 0.8 | 0.4 | 0.2 | 0.8 | 5.8 | 3.7 | - | - | - | 40.1 | 34.2 | 76.2 | - | 55.4 | 51.9 |
J. Nelson
|
- | 29 | 24.8 | 6.8 | 2.9 | 2.8 | 1.4 | 0.0 | 1.6 | 5.7 | 6.6 | 55 | 2.1 | 4.6 | 37.3 | 27.5 | 75.0 | 0.15 | 49.8 | 43.1 |
Cam Polak
|
- | 27 | 17.7 | 6.3 | 1.6 | 0.6 | 0.4 | 0.0 | 1.1 | 4.7 | 3.0 | -2 | -0.1 | -0.3 | 41.4 | 40.0 | 79.3 | -0.41 | 60.0 | 57.0 |
I. Zorgvol
|
- | 30 | 14.5 | 5.5 | 2.8 | 0.4 | 0.4 | 1.8 | 0.9 | 3.6 | 6.3 | 112 | 4.9 | 15.2 | 61.5 | 27.3 | 72.5 | 0.65 | 65.6 | 62.8 |
Jaiden Haynes
|
- | 19 | 15.8 | 5.1 | 1.3 | 0.5 | 0.7 | 0.1 | 0.3 | 4.2 | 3.3 | 11 | 0.6 | 2.0 | 45.6 | 34.9 | 81.8 | -0.15 | 57.3 | 55.1 |
Tyler Robinett
|
- | 12 | 11.5 | 2.8 | 2.5 | 0.4 | 0.2 | 0.5 | 0.4 | 2.8 | 3.1 | 10 | 0.9 | 3.6 | 41.2 | 16.7 | 50.0 | -0.34 | 45.0 | 44.1 |
D. King
|
- | 30 | 17.6 | 2.8 | 3.1 | 3.1 | 0.5 | 0.0 | 1.2 | 1.7 | 6.5 | -43 | -2.0 | -11.0 | 44.2 | 31.2 | 71.1 | -0.56 | 57.8 | 49.0 |
Derrick Anderson
|
- | 6 | 5.5 | 2.7 | 0.7 | 1.0 | 0.8 | 0.2 | 0.0 | 2.2 | 3.2 | 26 | 6.5 | 239.1 | 53.8 | 16.7 | 50.0 | -0.16 | 57.6 | 57.7 |
Shaheed Solebo
|
- | 9 | 5.2 | 1.8 | 1.0 | 0.7 | 0.0 | 0.0 | 0.6 | 1.2 | 1.7 | 20 | 4.0 | 137.5 | 36.4 | 16.7 | 53.8 | -0.14 | 47.8 | 40.9 |
Markus Navarra
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Connor Swider
|
F | 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