icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
No junior season data found for this player.
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Olaf | D3 | 10 | 3 | 6 | 91.0% | 2.76 | 1 |
| 2024-25 | St. Olaf | D3 | 13 | 6 | 6 | 93.6% | 1.85 | 2 |
| 2023-24 | St. Olaf | D3 | 18 | 9 | 7 | 92.3% | 2.09 | 4 |
| 2022-23 | St. Olaf | D3 | 20 | 11 | 9 | 90.9% | 2.30 | 5 |
| 2021-22 | St. Olaf | D3 | 21 | — | — | — | — | — |
| 2019-20 | St. Olaf | D3 | 15 | — | — | — | — | — |
| 2015-16 | St. Olaf | D3 | 22 | — | — | — | — | — |
| 2014-15 | St. Olaf | D3 | 22 | — | — | — | — | — |
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.