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 | Tri-City Storm | USHL | 43 | 13 | 26 | 39 | 0.907 | 0.5776 | 0.5101 | 2.7180 | 2.4003 |
| 2018-19 | Rögle BK | SHL | 26 | 7 | 5 | 12 | 0.462 | — | — | — | — |
| 2019-20 | KooKoo | Liiga | 52 | 20 | 21 | 41 | 0.788 | — | — | — | — |
| 2020-21 | KooKoo | Liiga | 21 | 7 | 16 | 23 | 1.095 | — | — | — | — |
| 2021-22 | Grizzlys Wolfsburg | DEL | 47 | 15 | 32 | 47 | 1.000 | — | — | — | — |
| 2022-23 | Grizzlys Wolfsburg | DEL | 42 | 10 | 21 | 31 | 0.738 | — | — | — | — |
| 2023-24 | Kärpät | Liiga | 6 | 0 | 2 | 2 | 0.333 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Providence | D1 | HockeyEast | SR | 36 | 14 | 23 | 37 | 1.028 |
| 2014-15 | Providence | D1 | HockeyEast | JR | 40 | 15 | 16 | 31 | 0.775 |
| 2013-14 | Providence | D1 | HockeyEast | SO | 26 | 5 | 10 | 15 | 0.577 |
| 2011-12 | Union | D1 | ECAC | FR | 18 | 3 | 3 | 6 | 0.333 |
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.