| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Camrose Kodiaks | AJHL | 2 | 2 | 0 | 2 | 1.000 | 0.3354 | 0.3883 | 0.9252 | 1.0711 |
| 2012-13 | Camrose Kodiaks | AJHL | 54 | 24 | 24 | 48 | 0.889 | 0.2981 | 0.3298 | 0.8224 | 0.9099 |
| 2013-14 | Camrose Kodiaks | AJHL | 48 | 11 | 29 | 40 | 0.833 | 0.2795 | 0.2947 | 0.7710 | 0.8130 |
| 2021-22 | MoDo Hockey | Allsvenskan | 22 | 2 | 2 | 4 | 0.182 | 0.4545 | 0.4429 | 1.7047 | 1.6610 |
| 2022-23 | HC Vita Hästen | Allsvenskan | 31 | 6 | 8 | 14 | 0.452 | 1.1290 | 1.0366 | 4.2347 | 3.8880 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Quinnipiac | D1 | ECAC | SR | 38 | 13 | 20 | 33 | 0.868 |
| 2016-17 | Quinnipiac | D1 | ECAC | JR | 32 | 8 | 11 | 19 | 0.594 |
| 2015-16 | Quinnipiac | D1 | ECAC | SO | 43 | 4 | 16 | 20 | 0.465 |
| 2014-15 | Quinnipiac | D1 | ECAC | FR | 37 | 5 | 7 | 12 | 0.324 |
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.