icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Eden Prairie High | USHS-MN | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Mason City Toros | NA3HL | 33 | 15 | 21 | 36 | 1.091 | 0.1315 | 0.1356 | — | — |
| 2018-19 | Mason City Toros | NA3HL | 42 | 24 | 24 | 48 | 1.143 | 0.1377 | 0.1347 | 0.3610 | 0.3531 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Augsburg | D3 | MIAC | SR | 26 | 9 | 11 | 20 | 0.769 |
| 2021-22 | Augsburg | D3 | MIAC | JR | 30 | 13 | 12 | 25 | 0.833 |
| 2020-21 | Augsburg | D3 | MIAC | SO | 3 | 1 | 0 | 1 | 0.333 |
| 2019-20 | Augsburg | D3 | MIAC | FR | 26 | 4 | 7 | 11 | 0.423 |
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.