Florida State
2014 Team Stats (7 games)
64.7
PPG
70.5
Opp
-6.6
Margin
45.3%
FG%
33.8%
3P%
72.3%
FT%
29.4
RPG
8.9
APG
13.6
TO
73.9
Pace
Model Outputs
2013-2014
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 → | 1352 (#126) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1576 (#22) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.4 (#45) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.160 (#87) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.200 (#66) | NetEff -12.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.656 (#47) | AdjNet +5.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.660 (#48) | AdjNet +5.7 |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-22 | vs | Michigan Wolverines | L | 80 - 82 |
| 2013-11-29 | @ | Florida Gators | L | 66 - 67 |
| 2014-01-25 | @ | Duke Blue Devils | L | 56 - 78 |
| 2014-02-17 | vs | North Carolina Tar Heels | L | 75 - 81 |
| 2014-03-09 | vs | Syracuse Orange | L | 58 - 74 |
| 2014-03-13 | @ | Maryland Terrapins | W | 67 - 65 |
| 2014-03-14 | @ | Virginia Cavaliers | L | 51 - 64 |
| 2014-03-18 | vs | Florida Gulf Coast Eagles | W | 58 - 53 |
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Miller
|
G | 7 | 32.0 | 15.1 | 2.1 | 2.3 | 0.7 | 0.0 | 2.4 | 11.0 | 6.9 | - | - | - | 45.5 | 44.1 | 87.5 | - | 60.5 | 55.2 |
O. White
|
F | 8 | 30.9 | 12.9 | 7.1 | 0.8 | 1.1 | 0.8 | 1.8 | 7.2 | 13.6 | - | - | - | 51.7 | 60.0 | 85.2 | - | 73.7 | 54.3 |
A. Thomas
|
G | 8 | 33.6 | 11.9 | 2.8 | 1.2 | 2.0 | 0.0 | 3.6 | 9.9 | 4.4 | 6 | 0.5 | 1.3 | 35.4 | 9.1 | 83.3 | 0.82 | 54.6 | 36.7 |
M. Brandon
|
G | 8 | 32.8 | 7.5 | 4.4 | 1.6 | 0.6 | 0.0 | 1.4 | 5.5 | 7.2 | - | - | - | 43.2 | 33.3 | 65.0 | - | 56.8 | 44.3 |
B. Bojanovsky
|
C | 8 | 23.6 | 6.6 | 4.5 | 0.8 | 0.5 | 1.4 | 1.2 | 3.8 | 8.8 | - | - | - | 63.3 | 0 | 70.0 | - | 77.0 | 63.3 |
D. Bookert
|
G | 8 | 24.6 | 4.9 | 2.0 | 1.6 | 0.9 | 0.1 | 2.0 | 4.1 | 3.4 | - | - | - | 36.4 | 50.0 | 87.5 | - | 53.4 | 43.9 |
M. Ojo
|
C | 8 | 10.6 | 3.4 | 3.2 | 0.0 | 0.1 | 0.2 | 0.6 | 1.5 | 4.9 | - | - | - | 75.0 | 0 | 56.2 | - | 70.9 | 75.0 |
R. Gilchrist
|
F | 8 | 10.1 | 2.2 | 1.2 | 0.2 | 0.0 | 0.2 | 0.4 | 2.4 | 1.2 | - | - | - | 42.1 | 0.0 | 28.6 | - | 40.8 | 42.1 |
J. Hopkins
|
F | 3 | 2.7 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 0.7 | - | - | - | 100.0 | 0 | 50.0 | - | 79.8 | 100.0 |
J. Smith
|
F | 7 | 7.7 | 1.0 | 0.4 | 0.1 | 0.1 | 0.9 | 0.6 | 1.3 | 0.7 | 31 | 2.2 | 3.4 | 33.3 | 0.0 | 20.0 | 1.2 | 31.2 | 33.3 |
B. Allen
|
F | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. White
|
G | 3 | 2.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -18 | -1.4 | -1.8 | 0 | 0 | 0 | 0.38 | 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