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 | College of the Holy Cross | D1 | NEWHA | — | 35 | 5 | 14 | 19 | 0.543 |
| 2025-26 | Holy Cross | D1 | NEWHA | JR | 35 | 5 | 14 | 19 | 0.543 |
| 2024-25 | College of the Holy Cross | D1 | NEWHA | — | 34 | 6 | 12 | 18 | 0.529 |
| 2024-25 | Holy Cross | D1 | NEWHA | SO | 33 | 6 | 12 | 18 | 0.545 |
| 2023-24 | College of the Holy Cross | D1 | NEWHA | — | 35 | 2 | 7 | 9 | 0.257 |
| 2023-24 | Holy Cross | D1 | NEWHA | FR | 35 | 2 | 7 | 9 | 0.257 |
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.