| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Okotoks Oilers | AJHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2009-10 | Victoria Grizzlies | BCHL | 57 | 15 | 29 | 44 | 0.772 | 0.2974 | 0.3115 | 1.1233 | 1.1767 |
| 2010-11 | Victoria Grizzlies | BCHL | 42 | 24 | 43 | 67 | 1.595 | 0.6146 | 0.6150 | 2.3215 | 2.3232 |
| 2020-21 | Iserlohn Roosters | DEL | 28 | 7 | 5 | 12 | 0.429 | 1.0715 | 1.0715 | 3.6338 | 3.6338 |
| 2022-23 | EC Kassel Huskies | DEL2 | 48 | 14 | 30 | 44 | 0.917 | 1.2280 | 0.9604 | 1.6449 | 1.2864 |
| 2023-24 | EC Kassel Huskies | DEL2 | 49 | 16 | 27 | 43 | 0.878 | 1.1756 | 0.8863 | 1.5748 | 1.1872 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Cornell | D1 | ECAC | SR | 11 | 4 | 4 | 8 | 0.727 |
| 2013-14 | Cornell | D1 | ECAC | JR | 32 | 7 | 17 | 24 | 0.750 |
| 2012-13 | Cornell | D1 | ECAC | SO | 33 | 12 | 11 | 23 | 0.697 |
| 2011-12 | Cornell | D1 | ECAC | FR | 35 | 6 | 16 | 22 | 0.629 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.