icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Madison Capitols | USHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Madison Capitols | USHL | 28 | 5 | 5 | 10 | 0.357 | 0.2107 | 0.2164 | 1.0725 | 1.1013 |
| 2016-17 | Madison Capitols | USHL | 56 | 6 | 23 | 29 | 0.518 | 0.3055 | 0.2981 | 1.5555 | 1.5178 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Ohio State | D1 | BigTen | — | 21 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Ohio State | D1 | BigTen | — | 32 | 0 | 5 | 5 | 0.156 |
| 2018-19 | Ohio State | D1 | BigTen | — | 17 | 1 | 0 | 1 | 0.059 |
| 2017-18 | Ohio State | D1 | BigTen | — | 5 | 1 | 0 | 1 | 0.200 |
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.