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| Regular Season | Playoffs | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Season | League | Team | GP | GS | W | L | OTL | SA | GA | GAA | Sv% | GP | GS | W | L | OTL | SA | GA | GAA | Sv% |
| 2009-10 | Czech U16 | BK Havlickuv Brod U16 | 7 | 4.35 | 0.874 | |||||||||||||||
| 2010-11 | CzR-U18 | Havl. Brod U18 | 1 | 6 | 6.00 | |||||||||||||||
| 2011-12 | CzR-U18 | Havl. Brod U18 | 7 | 22 | 4.09 | |||||||||||||||
| 2012-13 | CzR-U18 | Havl. Brod U18 | 36 | 108 | 3.22 | |||||||||||||||
| 2012-13 | CzRep-Jr. | Havl. Brod Jr. | 2 | 2.00 | ||||||||||||||||
| 2012-13 | Czech U18 | BK Havlickuv Brod U18 | 5 | 2.53 | 0.937 | |||||||||||||||
| 2013-14 | CzRep-Jr. | Liberec Jr. | 38 | 95 | 2.64 | 4 | 15 | 4.23 | ||||||||||||
| 2013-14 | WJ18-A | Czech Republic | 7 | 4 | 2 | 194 | 20 | 2.74 | ||||||||||||
| 2014-15 | CzRep-Jr. | Liberec Jr. | 4 | 12 | 3.60 | |||||||||||||||
| 2014-15 | CzRep | Liberec | 6 | 16 | 2.67 | |||||||||||||||
| 2014-15 | WJC-A | Czech Republic | 3 | 1 | 2 | 76 | 13 | 4.31 | 0.829 | |||||||||||
| 2014-15 | CzRep-2 | Benatky | 20 | 44 | 2.24 | 5 | 13 | 2.77 | ||||||||||||
| 2014-15 | Czech | Bili Tygri Liberec | 2 | 53 | 3 | 1.50 | 0.943 | 4 | 3.26 | 0.870 | ||||||||||
| 2014-15 | WJC-20 | Czechia U20 | 3 | 4.31 | 0.829 | |||||||||||||||
| 2014-15 | Czech2 | HC Benatky nad Jizerou | 20 | 588 | 44 | 2.24 | 0.925 | 5 | 2.77 | 0.902 | ||||||||||
| 2014-15 | Czech U20 | Bili Tygri Liberec U20 | 4 | 3.60 | 0.919 | |||||||||||||||
| 2015-16 | ECHL | South Carolina | 11 | 6 | 4 | 278 | 24 | 2.31 | 0.914 | |||||||||||
| 2015-16 | WJC-A | Czech Republic | 5 | 2 | 3 | 101 | 12 | 2.73 | 0.881 | |||||||||||
| 2015-16 | AHL | Hershey Bears | 1 | 0.92 | 0.962 | |||||||||||||||
| 2015-16 | ECHL | South Carolina Stingrays | 32 | 2.03 | 0.917 | 11 | 2.31 | 0.914 | ||||||||||||
| 2015-16 | WJC-20 | Czechia U20 | 5 | 2.73 | 0.881 | |||||||||||||||
| 2016-17 | AHL | Hershey Bears | 39 | 2.54 | 0.909 | 4 | 2.75 | 0.910 | ||||||||||||
| 2017-18 | AHL | Hershey Bears | 32 | 3.04 | 0.888 | |||||||||||||||
| 2017-18 | ECHL | South Carolina Stingrays | 2 | 2.01 | 0.935 | |||||||||||||||
| 2018-19 | AHL | Hershey Bears | 38 | 21 | 10 | 9 | 1042 | 97 | 2.62 | 0.907 | 4 | 1 | 3 | 9 | 139 | 9 | 2.25 | 0.935 | ||
| 2019-20 | AHL | Hershey Bears | 31 | 19 | 10 | 1 | 827 | 69 | 2.26 | 0.917 | ||||||||||
| 2020-21 | NHL | Washington Capitals | 37 | 37 | 21 | 10 | 4 | 1031 | 95 | 2.69 | 0.908 | 1 | 1 | 4 | 1 | 4.56 | 0.750 | |||
| 2021-22 | NHL | Washington Capitals | 42 | 42 | 20 | 12 | 6 | 1117 | 103 | 2.67 | 0.908 | 2 | 2 | 1 | 1 | 51 | 7 | 4.21 | 0.863 | |
| 2021-22 | AHL | Hershey Bears | 1 | 1 | 23 | 2 | 2.03 | 0.913 | ||||||||||||
| 2022-23 | NHL | New Jersey Devils | 52 | 52 | 33 | 11 | 4 | 1333 | 119 | 2.45 | 0.911 | 7 | 7 | 1 | 3 | 120 | 21 | 4.64 | 0.825 | |
| 2023-24 | NHL | New Jersey Devils | 32 | 32 | 17 | 9 | 3 | 862 | 95 | 3.18 | 0.890 | |||||||||
| 2024-25 | NHL | San Jose Sharks | 18 | 18 | 3 | 10 | 3 | 533 | 63 | 3.88 | 0.882 | |||||||||
| 2024-25 | NHL | Florida Panthers | 7 | 7 | 2 | 4 | 1 | 191 | 21 | 3.00 | 0.890 | |||||||||
| 2024-25 | AHL | San Jose Barracuda | 1 | 1 | 24 | 2 | 2.00 | 0.917 | ||||||||||||
| 2025-26 | NHL | Utah Mammoth | 22 | 22 | 5 | 13 | 3 | 506 | 59 | 2.93 | 0.883 | |||||||||
| NHL Career | 210 | 210 | 101 | 69 | 24 | 5573 | 555 | 2.84 | 0.900 | 10 | 10 | 2 | 4 | 0 | 175 | 29 | 4.52 | 0.834 | ||
| Season | Team(s) | GP | TOI | Producer | Playmaker | Shooter | Sniper | Rebound | Rush | Skating | Defend |
|---|
| Season | Team(s) | GP | TOI | 5v5 TOI | 5v4 TOI | 4v5 TOI | Possession | Drive | Suppress | Faceoffs |
|---|
| Season | Team(s) | GP | TOI | SAA/60 | SA/60 | xGA/60 | GA/60 | GS/60 | Sv% | xSv% | Sv%AE |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | WSH | 37 | 1704:26 | 41.15 | 29.50 | 2.21 | 2.43 | -0.22 | 91.77 | 92.50 | -0.73 |
| 2021-22 | WSH | 41 | 1774:53 | 39.75 | 28.16 | 2.35 | 1.96 | 0.39 | 93.04 | 91.66 | 1.37 |
| 2022-23 | NJD | 52 | 2326:27 | 39.30 | 27.18 | 2.41 | 2.24 | 0.17 | 91.75 | 91.12 | 0.63 |
| 2023-24 | NJD | 32 | 1441:56 | 39.53 | 28.25 | 2.27 | 2.75 | -0.47 | 90.28 | 91.95 | -1.67 |
| 2024-25 | SJS | 18 | 755:45 | 47.71 | 32.07 | 2.75 | 3.26 | -0.50 | 89.85 | 91.41 | -1.56 |
| 2024-25 | FLA | 7 | 332:10 | 42.99 | 27.64 | 2.46 | 2.35 | 0.11 | 91.50 | 91.11 | 0.40 |
| 2024-25 | FLA, SJS | 25 | 1087:55 | 46.27 | 30.72 | 2.66 | 2.98 | -0.31 | 90.31 | 91.33 | -1.02 |
| 2025-26 | UTA | 22 | 966:13 | 35.09 | 23.72 | 2.30 | 2.79 | -0.50 | 88.22 | 90.31 | -2.09 |
| Season | Team(s) | GP | TOI | SAA/60 | SA/60 | xGA/60 | GA/60 | GS/60 | Sv% | xSv% | Sv%AE |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | WSH | 37 | 169:54 | 64.98 | 39.55 | 6.78 | 5.30 | 1.48 | 86.61 | 82.86 | 3.75 |
| 2021-22 | WSH | 41 | 161:27 | 68.38 | 50.54 | 5.86 | 5.95 | -0.09 | 88.24 | 88.41 | -0.17 |
| 2022-23 | NJD | 52 | 248:00 | 63.87 | 43.79 | 6.36 | 4.35 | 2.00 | 90.06 | 85.48 | 4.57 |
| 2023-24 | NJD | 32 | 144:37 | 70.12 | 46.88 | 7.35 | 6.22 | 1.12 | 86.73 | 84.33 | 2.39 |
| 2024-25 | SJS | 18 | 104:04 | 71.49 | 50.16 | 6.92 | 8.07 | -1.15 | 83.91 | 86.20 | -2.30 |
| 2024-25 | FLA | 7 | 36:15 | 48.00 | 28.14 | 5.18 | 3.31 | 1.87 | 88.24 | 81.58 | 6.66 |
| 2024-25 | FLA, SJS | 25 | 140:19 | 65.42 | 44.47 | 6.47 | 6.84 | -0.37 | 84.62 | 85.45 | -0.83 |
| 2025-26 | UTA | 22 | 103:12 | 69.77 | 46.51 | 6.37 | 4.65 | 1.72 | 90.00 | 86.30 | 3.70 |
| Percentile 0-25 | Percentile 25-50 | Percentile 50-75 | Percentile 75-100 |
| Statistic | Definition |
|---|---|
| SAA/60 | Shot Attempts Against per 60 minutes. |
| SA/60 | Shots Against per 60 minutes. |
| xGA/60 | Expected Goals Against per 60 minutes. |
| GA/60 | Goals Against per 60 minutes (lower is better). |
| GS/60 | Goals Saved per 60 minutes (xGA/60 -GA/60). |
| Sv% | Save Percentage. |
| xSv% | Expected Save Percentage. |
| Sv%AE | Save Percentage above Expected (Sv% - xSv%). |
Player cards present an infographic of a players performance using a series of Player Archetypes developed for Puckalytics.com and TheStanleyCap.com. The boxes in the rink image show the archetype ratings for the season specified in the card while the graphs to the right show the five-year trends for those archetypes.
Except for Faceoffs, the values shown are the players z-score (standard deviation from the mean) for the specific metric used to calculate the archetype values. When calculating z-scores forwards were compared to forwards and defensemen were compared to defensemen. Positive values indicate the player is above average and shaded in blue, while negative values indicate the player is below average and shaded in pink. The five year trend charts show a range of -4.0 to 4.0.
The value shown for Faceoffs is the faceoff winning percentage rather than their z-score with winning percentages below 50 in pink shades and above 50 in blue shades.
All archetypes are 5v5 except 5v4 TOI, 4v5 TOI, Skating (even strength) and Faceoffs (all situations). Archetypes use regular season data only.
You are free to use include player cards in written articles, share on social media, or on other public websites under the following conditions:
Note: Player cards will update daily throughout the season so if you want to include snapshot then you must download the image.
If you have any questions, send an e-mail to the e-mail address at the top of this page.
Read Introducing Player Archetypes on HockeyAnalysis.com for more details on archetype calculations.