| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Aberdeen Wings | NAHL | 59 | 22 | 32 | 54 | 0.915 | 0.3399 | 0.3455 | 0.9691 | 0.9850 |
| 2013-14 | Waterloo Black Hawks | USHL | 60 | 26 | 41 | 67 | 1.117 | 0.7111 | 0.6620 | 3.3464 | 3.1153 |
| 2019-20 | Västerviks IK | Allsvenskan | 52 | 12 | 10 | 22 | 0.423 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Minnesota Duluth | D1 | NCHC | SR | 41 | 9 | 15 | 24 | 0.585 |
| 2017-18 | Minnesota Duluth | D1 | NCHC | JR | 44 | 11 | 19 | 30 | 0.682 |
| 2015-16 | Alaska | D1 | WCHA | SO | 36 | 4 | 16 | 20 | 0.556 |
| 2014-15 | Alaska | D1 | WCHA | FR | 33 | 5 | 8 | 13 | 0.394 |
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.