| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Rockland Nationals | CCHL | 4 | 1 | 2 | 3 | 0.750 | 0.2395 | 0.2623 | 0.5806 | 0.6358 |
| 2013-14 | Rockland Nationals | CCHL | 61 | 41 | 39 | 80 | 1.312 | 0.4188 | 0.4378 | 1.0152 | 1.0612 |
| 2014-15 | Rockland Nationals | CCHL | 27 | 14 | 22 | 36 | 1.333 | 0.4257 | 0.4253 | 1.0321 | 1.0311 |
| 2020-21 | IK Oskarshamn | SHL | 25 | 12 | 6 | 18 | 0.720 | 1.8000 | 1.8000 | — | — |
| 2021-22 | Leksands IF | SHL | 51 | 34 | 26 | 60 | 1.177 | 2.9413 | 3.0393 | — | — |
| 2023-24 | Leksands IF | SHL | 50 | 17 | 19 | 36 | 0.720 | 1.8000 | 1.7013 | — | — |
| 2024-25 | Leksands IF | SHL | 51 | 12 | 16 | 28 | 0.549 | 1.3725 | 1.2169 | — | — |
| 2025-26 | Leksands IF | SHL | 40 | 7 | 13 | 20 | 0.500 | 1.2500 | 1.2500 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Princeton | D1 | ECAC | SR | 31 | 13 | 24 | 37 | 1.194 |
| 2017-18 | Princeton | D1 | ECAC | JR | 36 | 17 | 38 | 55 | 1.528 |
| 2016-17 | Princeton | D1 | ECAC | SO | 33 | 11 | 24 | 35 | 1.061 |
| 2015-16 | Princeton | D1 | ECAC | FR | 30 | 11 | 6 | 17 | 0.567 |
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.