| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Kiekko-Espoo | SMLIIGA-W | 9 | 3 | 4 | 7 | 0.778 | 0.2949 | 0.2949 | — | — |
| 2012-13 | Kiekko-Espoo | SMLIIGA-W | 20 | 14 | 11 | 25 | 1.250 | 0.4740 | 0.4740 | — | — |
| 2013-14 | Kiekko-Espoo | SMLIIGA-W | 25 | 24 | 30 | 54 | 2.160 | 0.8191 | 0.8191 | — | — |
| 2014-15 | Kiekko-Espoo | SMLIIGA-W | 12 | 9 | 16 | 25 | 2.083 | 0.7900 | 0.7900 | — | — |
| 2015-16 | Kiekko-Espoo | SMLIIGA-W | 20 | 28 | 26 | 54 | 2.700 | 1.0238 | 1.0238 | — | — |
| 2020-21 | Kiekko-Espoo | SMLIIGA-W | 6 | 7 | 5 | 12 | 2.000 | 0.7584 | 0.7584 | — | — |
| 2022-23 | Buffalo Beauts | PHF | 24 | 4 | 6 | 10 | 0.417 | — | — | — | — |
| 2023-24 | Kiekko-Espoo | SMLIIGA-W | 31 | 28 | 35 | 63 | 2.032 | 0.7706 | 0.5684 | — | — |
| 2024-25 | Kiekko-Espoo | SMLIIGA-W | 30 | 27 | 38 | 65 | 2.167 | 0.8216 | 0.5722 | — | — |
| 2025-26 | Kiekko-Espoo | SMLIIGA-W | 28 | 27 | 36 | 63 | 2.250 | 0.8532 | 0.5512 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Mercyhurst | D1 | CHA-W | SR | 34 | 21 | 19 | 40 | 1.177 |
| 2018-19 | Mercyhurst | D1 | CHA-W | JR | 30 | 16 | 12 | 28 | 0.933 |
| 2017-18 | Mercyhurst | D1 | CHA-W | SO | 23 | 8 | 5 | 13 | 0.565 |
| 2016-17 | North Dakota | D1 | — | — | 34 | 10 | 9 | 19 | 0.559 |
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.