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 | Buffalo State | D3 | — | — | 24 | 7 | 10 | 17 | 0.708 |
| 2018-19 | Buffalo State | D3 | — | — | 25 | 14 | 10 | 24 | 0.960 |
| 2017-18 | Buffalo State | D3 | — | — | 26 | 0 | 4 | 4 | 0.154 |
| 2016-17 | Buffalo State | D3 | — | — | 5 | 0 | 0 | 0 | 0.000 |
| 2015-16 | Buffalo State | D3 | — | — | 24 | 6 | 4 | 10 | 0.417 |
| 2014-15 | Buffalo State | D3 | — | — | 26 | 1 | 3 | 4 | 0.154 |
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.