| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | U.S. National U17 Team | NTDP-U18 | 58 | 23 | 21 | 44 | 0.759 | 0.5639 | 0.5725 | 2.8306 | 2.8736 |
| 2016-17 | U.S. National U18 Team | NTDP-U18 | 65 | 26 | 35 | 61 | 0.939 | 0.6976 | 0.6739 | 3.5019 | 3.3831 |
| 2023-24 | Östersunds IK | Allsvenskan | 16 | 2 | 5 | 7 | 0.438 | 1.0938 | 1.1452 | 4.1046 | 4.2975 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | North Dakota | D1 | NCHC | SR | 20 | 10 | 9 | 19 | 0.950 |
| 2019-20 | North Dakota | D1 | NCHC | JR | 35 | 8 | 12 | 20 | 0.571 |
| 2018-19 | North Dakota | D1 | NCHC | SO | 24 | 5 | 5 | 10 | 0.417 |
| 2017-18 | North Dakota | D1 | NCHC | FR | 38 | 9 | 13 | 22 | 0.579 |
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.