icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | CCHL | 24 | 1 | 3 | 4 | 0.167 | 0.0362 | 0.0368 | 0.1290 | 0.1312 |
| 2014-15 | Wellington Dukes | OJHL | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Boston Jr. Bandits | EHL | 40 | 4 | 16 | 20 | 0.500 | 0.0732 | 0.0697 | 0.2452 | 0.2335 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Canton | D1 | — | SR | 4 | 0 | 1 | 1 | 0.250 |
| 2019-20 | Canton | D3 | — | SR | 4 | 0 | 1 | 1 | 0.250 |
| 2018-19 | Canton | D1 | — | JR | 24 | 0 | 5 | 5 | 0.208 |
| 2018-19 | Canton | D3 | — | JR | 24 | 0 | 5 | 5 | 0.208 |
| 2017-18 | Canton | D3 | — | SO | 9 | 0 | 2 | 2 | 0.222 |
| 2016-17 | Canton | D3 | — | FR | 16 | 1 | 6 | 7 | 0.438 |
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.