| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Wenatchee Wild | NAHL | 60 | 23 | 30 | 53 | 0.883 | 0.3245 | 0.3397 | 0.9323 | 0.9760 |
| 2014-15 | Sioux Falls Stampede | USHL | 57 | 14 | 21 | 35 | 0.614 | 0.3622 | 0.3486 | 1.8441 | 1.7748 |
| 2022-23 | Västerviks IK | Allsvenskan | 27 | 9 | 5 | 14 | 0.518 | 1.2962 | 1.1598 | 4.8645 | 4.3524 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Northern Michigan | D1 | WCHA | SR | 39 | 23 | 17 | 40 | 1.026 |
| 2017-18 | Northern Michigan | D1 | WCHA | JR | 43 | 23 | 24 | 47 | 1.093 |
| 2016-17 | Northern Michigan | D1 | WCHA | SO | 38 | 10 | 6 | 16 | 0.421 |
| 2015-16 | Northern Michigan | D1 | WCHA | FR | 16 | 0 | 3 | 3 | 0.188 |
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.