icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
No junior season data found for this player.
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Rivier | D3 | MASCAC | — | 25 | 3 | 14 | 17 | 0.680 |
| 2023-24 | Rivier | D3 | MASCAC | — | 25 | 7 | 9 | 16 | 0.640 |
| 2022-23 | Rivier | D3 | MASCAC | — | 24 | 6 | 4 | 10 | 0.417 |
| 2021-22 | New England College | D3 | LittleEast | — | 5 | 0 | 0 | 0 | 0.000 |
| 2020-21 | New England College | D1 | — | FR | 9 | 0 | 2 | 2 | 0.222 |
| 2020-21 | New England College | D3 | LittleEast | — | 9 | 0 | 2 | 2 | 0.222 |
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.