icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Nanaimo Clippers | BCHL | 10 | 1 | 0 | 1 | 0.100 | 0.0372 | 0.0392 | 0.1457 | 0.1535 |
| 2013-14 | Victoria Grizzlies | BCHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Fitchburg State | D3 | MASCAC | SR | 26 | 4 | 5 | 9 | 0.346 |
| 2017-18 | Fitchburg State | D3 | MASCAC | JR | 19 | 4 | 8 | 12 | 0.632 |
| 2016-17 | Fitchburg State | D3 | MASCAC | SO | 25 | 9 | 8 | 17 | 0.680 |
| 2015-16 | Fitchburg State | D3 | MASCAC | FR | 21 | 12 | 5 | 17 | 0.809 |
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.