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Diamond 934
Fantasy Hockey LevelsRatings and Levels measure your performance against your opponents, based on your gameplay in Head-to-Head Leagues only.
Level Rating Percentiles 
Diamond 900+ 99th 
Platinum 800-899 95th-98th 
Gold 700-799 81st-94th 
Silver 600-699 60th-80th 
Bronze 0-599 0-59th -
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Week 24 vs leafs • 5th
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12vs6
Loss Week 26 vs Tortious Interference
Matchup | Rosters | Trends | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pos | Forwards/Defensemen | Action | Opp | Status | Rating | % Rostered Trend | % Started Trend | Adds | Drops | Trades | Total | Avg Pick | Depth Chart | ||
C | Wyatt JohnstonDAL - C,RW
| @SEA | 69% (–) | 50% (+3) | 224 | 187 | 0 | 411 | 169.8 | 1 (RW) | |||||
C | Nick SuzukiMTL - C
| CAR | 75% (-1) | 55% (+3) | 160 | 52 | 0 | 212 | 157.6 | 1 (C) | |||||
C | Sam BennettFLA - C
| DET | 29% (-2) | 22% (–) | 73 | 251 | 0 | 324 | 167.8 | 5 (C) | |||||
C | Joel Eriksson EkMIN - C
| VGK | 89% (–) | 46% (+13) | 107 | 73 | 0 | 180 | 136.4 | 1 (C) | |||||
LW | Andrei SvechnikovCAR - LW,RW
| @MTL | 77% (-3) | 70% (+2) | 37 | 290 | 0 | 327 | 87.1 | 1 (RW) | |||||
LW | Mason McTavishANA - C,LW
| @EDM | 29% (-1) | 17% (-1) | 871 | 150 | 0 | 1021 | 166.8 | 3 (C) | |||||
RW | Matt BoldyMIN - LW,RW
| VGK | 91% (–) | 64% (+5) | 156 | 62 | 0 | 218 | 58.2 | 1 (RW) | |||||
RW | Ryan HartmanMIN - C,RW
| VGK | 23% (+2) | 16% (–) | 128 | 238 | 0 | 366 | 173.2 | 3 (RW) | |||||
W | Kyle ConnorWPG - LW
| OTT | 93% (-1) | 77% (+3) | 20 | 104 | 0 | 124 | 45.3 | 1 (LW) | |||||
F | Ryan O'ReillyNSH - C
| @COL | 58% (-3) | 36% (-1) | 43 | 171 | 0 | 214 | 157.3 | 1 (C) | |||||
D | K'Andre MillerNYR - D
| @ARI | 39% (-1) | 36% (+1) | 114 | 218 | 0 | 332 | 147.2 | 3 (D) | |||||
D | Seth JonesCHI - D
| @PHI | 67% (+3) | 57% (+2) | 566 | 221 | 0 | 787 | 112.9 | 2 (D) | |||||
D | Moritz SeiderDET - D
| @FLA | 93% (-2) | 88% (+2) | 16 | 86 | 0 | 102 | 89.2 | 2 (D) | |||||
D | Rasmus DahlinBUF - D
| TOR | 96% (-3) | 96% (–) | 2 | 10 | 0 | 12 | 41.1 | 1 (D) | |||||
D | Roman JosiNSH - D
| @COL | 96% (-4) | 94% (+2) | 11 | 1 | 0 | 12 | 47.7 | 1 (D) | |||||
Util | Connor BedardCHI - C
| @PHI | 93% (–) | 61% (+1) | 23 | 108 | 0 | 131 | 33.5 | 1 (C) | |||||
Util | Cole CaufieldMTL - LW,RW
| CAR | 80% (-1) | 59% (-2) | 44 | 330 | 0 | 374 | 131.1 | 1 (LW) | |||||
Util | Claude GirouxOTT - C,RW
| @WPG | 79% (-3) | 65% (-2) | 34 | 243 | 0 | 277 | 78.6 | 2 (RW) | |||||
Util | Tanner JeannotTB - LW,RW
| NYI | 10% (–) | 5% (+3) | 47 | 170 | 0 | 217 | 167.6 | 4 (LW) | |||||
BN | Jordan GreenwayBUF - LW
| TOR | 2% (-1) | 2% (-7) | 1 | 2218 | 0 | 2219 | - | 3 (RW) | |||||
BN | Luke HughesNJ - D
| 71% (-2) | 51% (-18) | 180 | 1467 | 0 | 1647 | 119.5 | 3 (D) | ||||||
BN | Nikolaj EhlersWPG - LW
| OTT | 60% (+3) | 45% (+1) | 62 | 185 | 0 | 247 | 164.7 | 3 (LW) | |||||
BN | Pierre-Luc DuboisLA - C,LW
| @CGY | 41% (+2) | 24% (+1) | 156 | 191 | 0 | 347 | 89.5 | 4 (C) | |||||
BN | Pavel ZachaBOS - C
| @WSH | 40% (-2) | 21% (+9) | 55 | 307 | 0 | 362 | 159.6 | 2 (C) | |||||
BN | Trevor ZegrasANA - C
| @EDM | 31% (–) | 6% (-1) | 558 | 199 | 0 | 757 | 146.7 | 2 (C) | |||||
IR | Mikhail SergachevTB - D
| NYI | 46% (-1) | 14% (–) | 8 | 56 | 0 | 64 | 89.5 | 3 (D) | |||||
IR+ | Patrick KaneDET - RW
| @FLA | 67% (-3) | 34% (-5) | 37 | 385 | 0 | 422 | 158.8 | 2 (RW) | |||||
IR+ | Radko GudasANA - D
| @EDM | 42% (+1) | 18% (-1) | 16 | 246 | 0 | 262 | 162.4 | 4 (D) | |||||
IR+ | Adam FantilliCBJ - C
| PIT | 15% (–) | 2% (-1) | 6 | 25 | 0 | 31 | 160.8 | 2 (C) | |||||
Matchup | Rosters | Trends | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pos | Goaltenders | Action | Opp | Status | Rating | % Rostered Trend | % Started Trend | Adds | Drops | Trades | Total | Avg Pick | Depth Chart | ||
G | Charlie LindgrenWSH - G
| BOS | 55% (-2) | 43% (+3) | 469 | 213 | 0 | 682 | - | 1 (G) | |||||
G | Igor ShesterkinNYR - G
| @ARI | 97% (-2) | 77% (-2) | 9 | 40 | 0 | 49 | 15.8 | 1 (G) | |||||
G | Pyotr KochetkovCAR - G
| @MTL | 58% (-3) | 42% (+7) | 432 | 241 | 0 | 673 | 127.7 | 2 (G) | |||||
BN | Philipp GrubauerSEA - G
| DAL | 34% (+3) | 18% (-6) | 108 | 901 | 0 | 1009 | 160.7 | 1 (G) | |||||
BN | Juuse SarosNSH - G
| @COL | 92% (-6) | 71% (-4) | 17 | 98 | 0 | 115 | 47.5 | 1 (G) | |||||
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Avg-PPT - Average Power Play TimeDefinitionAverage time per game a skater has been on the ice for a power playWhy does this stat matter for fantasy?Useful for measuring power play opportunities for players with less total ice time.
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Avg-SHT - Average Short-Handed TimeDefinitionAverage time per game a skater has been on the ice while short-handedWhy does this stat matter for fantasy?Useful for measuring short-handed opportunities for players with less total ice time.
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COR - CorsiDefinitionCalculation = (5 on 5): Team shots on goal + team missed shots + opponent blocked shots (excluding empty net).Why does this stat matter for fantasy?Corsi measure all shot attempts and is a measure to indicate puck possession in the offsensive zone. The greater the puck possession in the zone, the greater a players's chance of scoring, assisting, etc.
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Def-ZS - Defensive Zone StartsDefinitionNumber of faceoffs a player is on the ice for in the defensive zone.Why does this stat matter for fantasy?Provides insight into players that coaches think are better defensive players.
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FEN - FenwickDefinitionCalculation = (5 on 5): (5 on 5): team shots on goal + team missed shots (excluding empty net). Also called "Fenwick for".Why does this stat matter for fantasy?Fenwick is a variant of Corsi that counts only shots on goal and missed shots; blocked shots are not included. Its another measure to indicate puck possession in the offensive zone. The greater the puck possession in the zone, the greater a players's chance of scoring, assisting, etc.
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GStr - Game StarDefinitionThree stars are awarded each game in NHL, one to the best 3 players in the in the game.Why does this stat matter for fantasy?Only moderately useful for fantasy, stars simply show how well a player has performed overall. Players with the most stars often tend to be the highest ranked fantasy players.
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Off-ZS - Offensive Zone StartsDefinitionNumber of faceoffs a player is on the ice for in the offensive zone.Why does this stat matter for fantasy?Provides insight into players that coaches think are better offensive players.
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PPT - Power Play TimeDefinitionTotal time YTD a skater has been on the ice for a power playWhy does this stat matter for fantasy?The more often a player is on the ice during a power play the better chance they have of earning goals, assists and, obviously, power play points. Players whose coaches trust them in the power play can be quite valuable for fantasy.
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Shifts - ShiftsDefinitionThe number of stints a skater logs during a game.Why does this stat matter for fantasy?You can't score fantasy points if you're not on the ice. Along with time on ice, shift count is a direct measure of how much general opportinity a player is receiving.
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SHT - Short-Handed TimeDefinitionTotal time YTD a skater has been on the ice while short-handedWhy does this stat matter for fantasy?The more often a player is on the ice when their team is in the penalty the better chance they have of earning short-handed statistics.
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ZS-Pct - Zone Start PercentageDefinitionZone Start percentage is the ratio of how many faceoffs a player is on the ice for in the offensive zone relative to the total offensive plus defensive zone faceoffs he is on the ice for. Neutral zone faceoffs are ignored.Why does this stat matter for fantasy?Players with a higher zone start percentage tend to have more opportunities to shoot, score and assist because they are in the offensive zone more than in the defensive zone.
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