| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Coquitlam Express | BCHL | 58 | 48 | 50 | 98 | 1.690 | 0.6510 | 0.6442 | 2.4575 | 2.4320 |
| 2021-22 | Västerviks IK | Allsvenskan | 41 | 13 | 20 | 33 | 0.805 | 2.0122 | 1.9135 | 7.5475 | 7.1775 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Union | D1 | ECAC | SR | 38 | 9 | 14 | 23 | 0.605 |
| 2017-18 | Union | D1 | ECAC | JR | 29 | 9 | 19 | 28 | 0.966 |
| 2016-17 | Union | D1 | ECAC | SO | 37 | 8 | 28 | 36 | 0.973 |
| 2015-16 | Union | D1 | ECAC | FR | 31 | 9 | 12 | 21 | 0.677 |
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.