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 | U.S. National U17 Team | NTDP-U18 | 51 | 3 | 5 | 8 | 0.157 | 0.1166 | 0.1198 | 0.5855 | 0.6017 |
| 2013-14 | — | NTDP-U18 | 53 | 1 | 5 | 6 | 0.113 | 0.0841 | 0.0818 | 0.4224 | 0.4110 |
| 2014-15 | Kingston Frontenacs | OHL | 30 | 0 | 5 | 5 | 0.167 | 0.0964 | 0.0964 | 0.4283 | 0.4281 |
| 2015-16 | Kingston Frontenacs | OHL | 53 | 1 | 6 | 7 | 0.132 | 0.0764 | 0.0725 | 0.3394 | 0.3223 |
| 2016-17 | Kingston Frontenacs | OHL | 61 | 4 | 10 | 14 | 0.230 | 0.1328 | 0.1192 | 0.5897 | 0.5293 |
| 2017-18 | Queen's Univ. | USports-M | 11 | 0 | 1 | 1 | 0.091 | 0.0480 | 0.0516 | 0.2664 | 0.2864 |
| 2018-19 | Queen's Univ. | USports-M | 7 | 0 | 1 | 1 | 0.143 | 0.0754 | 0.0771 | 0.4188 | 0.4284 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Notre Dame | D1 | BigTen | FR | 9 | 0 | 0 | 0 | 0.000 |
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.