icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | North Iowa Bulls | NA3HL | 35 | 8 | 11 | 19 | 0.543 | 0.0600 | 0.0602 | 0.1720 | 0.1725 |
| 2019-20 | Neepawa Titans | MJHL | 51 | 11 | 11 | 22 | 0.431 | 0.0830 | 0.0830 | 0.2719 | 0.2719 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Augsburg | D3 | MIAC | SR | 22 | 1 | 0 | 1 | 0.045 |
| 2022-23 | Augsburg | D3 | MIAC | JR | 8 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Augsburg | D3 | MIAC | SO | 21 | 1 | 0 | 1 | 0.048 |
| 2020-21 | Augsburg | D1 | — | FR | 3 | 0 | 1 | 1 | 0.333 |
| 2020-21 | Augsburg | D3 | MIAC | FR | 3 | 0 | 1 | 1 | 0.333 |
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.