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 |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint Mary's | D3 | MIAC | JR | 25 | 9 | 3 | 12 | 0.480 |
| 2024-25 | Saint Mary's | D3 | MIAC | SO | 23 | 9 | 15 | 24 | 1.044 |
| 2024-25 | Saint Mary's (MN) | D3 | MIAC | — | 23 | 9 | 15 | 24 | 1.044 |
| 2023-24 | Saint Mary's | D3 | MIAC | FR | 23 | 12 | 11 | 23 | 1.000 |
| 2023-24 | Saint Mary's (MN) | D3 | MIAC | — | 27 | 15 | 14 | 29 | 1.074 |
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.