Iowa State
2017 Team Stats (17 games)
83.0
PPG
71.8
Opp
+11.2
Margin
47.9%
FG%
40.0%
3P%
67.4%
FT%
37.1
RPG
16.5
APG
10.6
TO
-
Est. poss./game
82.6
Adj PPG
64.6
Adj Opp PPG
#14
Scoring Rank
Model Outputs
2016-2017
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 โ | 1384 (#20) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1270 (#26) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1149 (#21) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +19.5 (#12) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +20.1 (#9) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.784 (#36) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.952 (#18) | AdjNet +25.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.954 (#18) | AdjNet +26.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.837 (#14) | AdjO 82.6 | AdjD 64.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.759 (#13) | AdjO 81.6 | AdjD 69.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.876 (#16) | 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 โ | 0.865 (#16) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1289 (#22) | RD 102 | GP 35 |
2017 Schedule & Results
2017 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Monte Morris
|
G | 22 | 35.0 | 17.8 | 5.3 | 6.2 | 1.6 | 0.4 | 1.5 | 12.4 | 17.4 | 165 | 27 | 6.1 | 11.1 | 47.3 | 40.7 | 76.2 | 4.39 | 65.0 | 53.7 |
Nazareth Mitrou-Long
|
G | 22 | 32.7 | 15.6 | 4.7 | 2.7 | 1.1 | 0.0 | 1.5 | 10.0 | 12.7 | 126 | 27 | 4.7 | 8.8 | 46.4 | 37.8 | 78.0 | -1.28 | 72.3 | 58.6 |
Deonte Burton
|
G | 22 | 28.8 | 14.6 | 6.0 | 2.0 | 1.7 | 1.2 | 2.4 | 11.2 | 12.0 | 155 | 27 | 5.7 | 11.5 | 46.7 | 37.9 | 66.7 | 4.54 | 58.0 | 51.8 |
D. Thomas
|
G | 22 | 31.3 | 12.5 | 4.1 | 2.0 | 0.8 | 0.1 | 1.0 | 7.9 | 10.6 | 164 | 27 | 6.1 | 11.7 | 47.1 | 44.1 | 100.0 | 3.97 | 72.2 | 61.2 |
Darrell Bowie
|
F | 20 | 18.1 | 7.1 | 4.5 | 0.8 | 0.8 | 0.5 | 1.3 | 4.4 | 8.0 | 65 | 23 | 2.8 | 10.7 | 53.4 | 28.6 | 42.9 | 0.5 | 64.8 | 54.5 |
Donovan Jackson
|
G | 22 | 16.0 | 6.2 | 0.8 | 1.2 | 0.5 | 0.0 | 0.7 | 3.8 | 4.2 | 53 | 21 | 2.5 | 14.3 | 48.2 | 48.9 | 76.7 | 0.74 | 70.7 | 62.0 |
Solomon Young
|
- | 20 | 20.1 | 5.0 | 4.0 | 0.1 | 0.5 | 0.9 | 0.9 | 3.0 | 6.5 | 33 | 16 | 2.1 | 5.8 | 65.6 | 50.0 | 59.3 | 0.33 | 68.6 | 66.4 |
Nick Weiler-Babb
|
G | 17 | 16.5 | 4.8 | 3.3 | 2.1 | 1.1 | 0.3 | 0.5 | 3.2 | 7.9 | - | - | - | - | 51.9 | 46.2 | 80.0 | - | 63.1 | 57.4 |
Nick Weiler-Babb
|
- | 14 | 16.6 | 3.6 | 3.4 | 1.8 | 0.9 | 0.2 | 0.7 | 0.7 | 8.5 | - | - | - | - | 30.0 | 75.0 | 20.0 | - | 204.9 | 45.0 |
Merrill Holden
|
F | 15 | 8.7 | 2.3 | 1.7 | 0.0 | 0.0 | 0.3 | 0.5 | 1.3 | 2.5 | 53 | 17 | 3.1 | 14.0 | 52.6 | 0 | 68.4 | 0.06 | 62.1 | 52.6 |
Jakolby Long
|
F | 7 | 5.1 | 1.6 | 1.4 | 0.1 | 0.1 | 0.0 | 0.1 | 2.3 | 0.9 | 11 | 5 | 2.2 | 35.9 | 25.0 | 50.0 | 0.0 | 0.51 | 33.5 | 34.4 |
Simeon Carter
|
F | 4 | 3.0 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | - | - | - | - | 100.0 | 0 | 66.7 | -1.76 | 90.4 | 100.0 |
Stuart Nezlek
|
C | 4 | 2.2 | 1.5 | 0.8 | 0.2 | 0.2 | 0.0 | 0.0 | 1.2 | 1.5 | - | - | - | - | 40.0 | 0 | 100.0 | -0.61 | 51.0 | 40.0 |
Wes Greder
|
G | 6 | 1.8 | 0.0 | 0.5 | 0.0 | 0.0 | 0.2 | 0.0 | 0.2 | 0.5 | - | - | - | - | 0.0 | 0.0 | 0.0 | -0.76 | 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