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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Framingham State | D1 | — | SO | 1 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Fredonia | D1 | — | SR | 24 | 14 | 20 | 34 | 1.417 |
| 2019-20 | Fredonia | D3 | — | SR | 24 | 14 | 20 | 34 | 1.417 |
| 2018-19 | Fredonia | D1 | — | JR | 26 | 8 | 12 | 20 | 0.769 |
| 2018-19 | Fredonia | D3 | — | JR | 26 | 8 | 12 | 20 | 0.769 |
| 2017-18 | Fredonia | D3 | — | SO | 24 | 8 | 10 | 18 | 0.750 |
| 2016-17 | Fredonia | D3 | — | FR | 21 | 10 | 15 | 25 | 1.190 |
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.