| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Chilliwack Chiefs | BCHL | 55 | 17 | 54 | 71 | 1.291 | 0.4974 | 0.4948 | 1.8775 | 1.8676 |
| 2023-24 | Augsburger Panther | DEL | 52 | 10 | 24 | 34 | 0.654 | 1.6345 | 1.5119 | 5.5418 | 5.1261 |
| 2024-25 | Adler Mannheim | DEL | 49 | 16 | 22 | 38 | 0.775 | 1.9387 | 1.7042 | 6.5734 | 5.7784 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Harvard | D1 | ECAC | SR | 36 | 16 | 20 | 36 | 1.000 |
| 2015-16 | Harvard | D1 | ECAC | JR | 34 | 5 | 16 | 21 | 0.618 |
| 2014-15 | Harvard | D1 | ECAC | SO | 32 | 5 | 12 | 17 | 0.531 |
| 2013-14 | Harvard | D1 | ECAC | FR | 29 | 5 | 10 | 15 | 0.517 |
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.