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 | William Smith | D3 | 22 | 8 | 13 | 92.7% | 2.62 | 3 |
| 2024-25 | William Smith | D3 | 5 | 2 | 2 | 92.0% | 2.13 | 1 |
| 2023-24 | William Smith | D3 | 2 | 2 | 0 | 94.3% | 1.00 | 1 |
| 2023-24 | New England | D3 | 26 | — | — | — | — | — |
| 2022-23 | William Smith | D3 | 26 | — | — | — | — | — |
| 2021-22 | William Smith | D3 | 24 | — | — | — | — | — |
| 2019-20 | William Smith | D3 | 27 | — | — | — | — | — |
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.