🐻⬇️🏀

Chicago

Season: 2026 2025 2024 2023 2022 2021 2020 2018 2017 2016
Also known as: Chicago Bulls
Program History

2013 Team Stats (101 games)

3.9
PPG
97.5
Opp
-2.0
Margin
42.6%
FG%
33.3%
3P%
74.7%
FT%
1.9
RPG
0.8
APG
0.5
TO
4.2
Pace

Model Outputs

2012-2013
Catalog

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 → 1088 (#41) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1048 (#99) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +8.9 (#23) HCA +2.4
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.455 (#25) -

2013 Schedule & Results

Date Vs/At Opponent Result Score
2013-03-10 @ LAL L 81 - 90
2013-03-13 @ SAC L 79 - 121
2013-03-15 @ GSW W 113 - 95
2013-03-18 vs DEN L 118 - 119
2013-03-21 vs POR L 89 - 99
2013-03-23 vs IND W 87 - 84
2013-03-24 @ MIN W 104 - 97
2013-03-27 vs MIA W 101 - 97
2013-03-30 @ DAL L 98 - 100
2013-03-31 vs DET W 95 - 94
2013-04-02 @ WAS L 86 - 90
2013-04-04 @ BKN W 92 - 90
2013-04-05 vs ORL W 87 - 86
2013-04-07 @ DET L 85 - 99
2013-04-09 vs TOR L 98 - 101
2013-04-11 vs NYK W 118 - 111
2013-04-12 @ TOR L 88 - 97
2013-04-14 @ MIA L 93 - 105
2013-04-15 @ ORL W 102 - 84
2013-04-17 vs WAS W 95 - 92

2013 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%
Carlos Boozer G 20 35.8 18.4 11.6 3.1 0.8 0.2 3.0 15.8 15.3 - - - 49.5 0 71.6 - 52.5 49.5
Nate Robinson Nate Robinson G 20 30.4 17.6 2.2 5.0 0.8 0.1 2.4 14.2 9.2 - - - 46.8 46.8 70.8 - 57.5 55.8
Luol Deng Luol Deng G 18 36.9 17.0 5.4 3.1 0.9 0.3 1.5 14.8 10.4 - - - 43.2 35.2 78.5 - 51.9 47.9
Jimmy Butler III G 20 37.0 12.7 5.7 2.5 1.4 0.8 1.2 9.2 12.7 - - - 44.8 48.9 72.5 - 56.7 51.1
Joakim Noah G 8 26.2 11.4 8.8 2.8 0.5 1.4 1.8 7.1 15.9 - - - 64.9 0.0 77.3 - 68.2 64.9
Taj Gibson Taj Gibson G 9 23.6 9.4 4.8 1.3 0.2 1.2 1.0 8.1 7.9 - - - 46.6 0.0 70.8 - 50.9 46.6
Kirk Hinrich Kirk Hinrich G 16 30.2 8.4 2.6 4.8 1.4 0.2 1.7 8.2 7.4 - - - 35.9 37.3 76.0 - 47.5 44.3
Marco Belinelli G 13 28.4 8.0 2.4 2.7 0.6 0.1 0.9 9.1 3.8 - - - 33.9 26.8 81.2 - 41.6 38.6
Richard Hamilton G 5 15.2 5.8 0.8 2.4 0.2 0.0 0.8 6.2 2.2 - - - 41.9 33.3 33.3 - 44.9 45.2
Nazr Mohammed Nazr Mohammed G 19 20.1 5.4 5.8 0.9 0.5 0.9 0.5 5.3 7.8 - - - 43.0 0.0 80.0 - 46.9 43.0
Daequan Cook G 14 11.4 3.4 2.0 0.6 0.1 0.3 0.5 4.6 1.3 - - - 29.7 21.9 60.0 - 36.3 35.2
Vladimir Radmanovic G 6 10.7 2.2 1.7 0.3 0.3 0.2 0.3 2.5 1.8 - - - 33.3 11.1 66.7 - 39.8 36.7
Malcolm Thomas G 7 4.7 1.7 1.6 0.3 0.3 0.1 0.3 1.3 2.4 - - - 55.6 0 50.0 - 55.8 55.6
Marquis Teague G 11 4.5 1.2 0.8 1.0 0.0 0.1 0.5 1.3 1.4 - - - 35.7 16.7 100.0 - 43.7 39.3

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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