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 | Plattsburgh State | D3 | — | — | 28 | 6 | 6 | 12 | 0.429 |
| 2024-25 | SUNY Plattsburgh | D3 | — | — | 28 | 6 | 6 | 12 | 0.429 |
| 2023-24 | Plattsburgh State | D3 | — | — | 28 | 7 | 9 | 16 | 0.571 |
| 2023-24 | SUNY Plattsburgh | D3 | — | JR | 28 | 7 | 9 | 16 | 0.571 |
| 2022-23 | Plattsburgh State | D3 | — | — | 29 | 5 | 16 | 21 | 0.724 |
| 2022-23 | SUNY Plattsburgh | D3 | — | SO | 29 | 5 | 16 | 21 | 0.724 |
| 2021-22 | Plattsburgh State | D3 | — | — | 30 | 4 | 24 | 28 | 0.933 |
| 2021-22 | SUNY Plattsburgh | D3 | — | FR | 30 | 4 | 24 | 28 | 0.933 |
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.