| Season | POS | Min | WP48 | PoP48 | Wins | PTS | DRB | ORB | REB | AST | TO | BLK | STL | PF |
| Teague 09-10 | PG | 719 | -.001 | -3.1 | -0.0 | 15.2 | 4.1 | 0.3 | 4.5 | 8.1 | 3.3 | 0.7 | 2.3 | 5.5 |
| Teague 10-11 | PG | 960 | .106 | 0.2 | 2.1 | 18.1 | 4.5 | 0.6 | 5.1 | 7.0 | 3.2 | 1.2 | 2.3 | 4.1 |
| Teague 11-12 | PG | 2183 | .138 | 1.2 | 6.3 | 18.3 | 3.0 | 0.5 | 3.5 | 7.1 | 2.9 | 0.8 | 2.3 | 3.2 |
| Teague 12-13 | PG | 2628 | .095 | -0.1 | 5.2 | 21.3 | 2.8 | 0.5 | 3.3 | 10.6 | 4.2 | 0.5 | 2.1 | 3.3 |
| Holiday 09-10 | PG | 1767 | .057 | -1.3 | 2.1 | 15.9 | 3.7 | 1.5 | 5.2 | 7.6 | 4.2 | 0.5 | 2.1 | 4.2 |
| Holiday 10-11 | PG | 2905 | .121 | 0.7 | 7.3 | 18.9 | 4.4 | 1.1 | 5.5 | 8.8 | 3.6 | 0.5 | 2.0 | 3.4 |
| Holiday 11-12 | PG | 2196 | .079 | -0.6 | 3.6 | 19.2 | 3.4 | 1.2 | 4.6 | 6.3 | 3.0 | 0.4 | 2.3 | 3.0 |
| Holiday 12-13 | PG | 2926 | .066 | -1.0 | 4.0 | 22.7 | 3.9 | 1.5 | 5.4 | 10.3 | 4.8 | 0.5 | 2.0 | 2.8 |
| Average PG(2000 - 2013) | PG | 1692 | .099 | 0.0 | 3.5 | 19.0 | 3.9 | 0.9 | 4.8 | 8.3 | 3.3 | 0.3 | 1.8 | 3.6 |
| FG% | 2FG% | 3FG% | FT% | eFG% | TS% | FGA | 3FGA | PPS | FTA | |
|---|---|---|---|---|---|---|---|---|---|---|
| Teague 09-10 | 39.6% | 42.6% | 21.9% | 83.7% | 41.2% | 45.9% | 15.2 | 2.1 | 1.00 | 3.3 |
| Teague 10-11 | 43.8% | 44.9% | 37.5% | 79.4% | 46.7% | 52.1% | 15.2 | 2.4 | 1.19 | 4.8 |
| Teague 11-12 | 47.7% | 51.5% | 34.2% | 75.7% | 51.5% | 55.2% | 14.8 | 3.3 | 1.24 | 4.1 |
| Teague 12-13 | 45.1% | 48.2% | 35.9% | 88.1% | 49.6% | 54.3% | 17.8 | 4.5 | 1.20 | 4.1 |
| Holiday 09-10 | 44.2% | 46.5% | 39.0% | 75.6% | 50.2% | 52.6% | 14.1 | 4.3 | 1.13 | 2.3 |
| Holiday 10-11 | 44.6% | 47.0% | 36.5% | 82.3% | 48.7% | 52.5% | 16.5 | 3.7 | 1.15 | 3.5 |
| Holiday 11-12 | 43.2% | 44.5% | 38.0% | 78.3% | 47.1% | 49.6% | 18.2 | 3.7 | 1.05 | 2.6 |
| Holiday 12-13 | 43.1% | 44.6% | 36.8% | 75.2% | 46.6% | 49.6% | 21.1 | 4.1 | 1.07 | 4.0 |
| Average PG | 43.0% | 45.9% | 35.6% | 80.6% | 48.0% | 52.7% | 16.1 | 4.5 | 1.18 | 4.4 |
*only players with at least 300 minutes are used to calculate averages, and some averages might look odd until the sample sizes get big enough due to rounding effects.
