icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| 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 | 15 | 25 | 40 | 0.690 | 0.5348 | 0.5428 | 2.5670 | 2.6056 |
| 2016-17 | U.S. National U18 Team | NTDP-U18 | 63 | 18 | 38 | 56 | 0.889 | 0.6893 | 0.6658 | 3.3084 | 3.1957 |
| 2023-24 | Nürnberg Ice Tigers | DEL | 51 | 8 | 19 | 27 | 0.529 | 0.5790 | 0.6900 | — | — |
| 2024-25 | Nürnberg Ice Tigers | DEL | 50 | 19 | 43 | 62 | 1.240 | 1.3561 | 1.5539 | — | — |
| 2025-26 | Nürnberg Ice Tigers | DEL | 51 | 16 | 49 | 65 | 1.274 | 1.3938 | 1.6624 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Penn State | D1 | BigTen | JR | 34 | 12 | 22 | 34 | 1.000 |
| 2018-19 | Penn State | D1 | BigTen | SO | 32 | 16 | 27 | 43 | 1.344 |
| 2017-18 | Penn State | D1 | BigTen | FR | 32 | 11 | 7 | 18 | 0.562 |
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.