Forum » ltending behind them this year? Yes. Ste

Having covered on-ice shooting and save percentages aleady, the next step is to look at the biggest variance in individual NHL player shooting percentages this season. While it might be easy enough to accept the notion that its difficult for a player to affect on-ice shooting or save percentages, because they are heavily-dependent on other players, its another matter entirely to accept the premise that an NHL player doesnt necessrily have a significant impact on his own shooting percentage in a given season. For one thing, as much as it might be convenient for viewrs, a single season isnt enough to capture a players true shooting ability, which means there is a high degree of variance possible. This variance is important, particularly in terms of perception, because its how players end up having career years. When Brett Hull scored 86 goals in 1990-1991, he finished a career-high 22.1% of all of his shots; 65 goals for Alex Ovechkin in 2007-2008? Scored on a career-high 14.6% of all of his shots. Teemu Selannes 76-goal rookie season came on 19.6% shooting, the best of his career. This is how seasons go from good to great but, just as save percentage is wildly unpredictable for goaltenders from one year to the next, so too is shooting percentage for individual players. This is relevant because perception is widely based on goal-scoring. Goals determine winners and losers and are easy to identify, but the reason we pay attention to these outlier percentages is to have have some idea whats real and what isnt. Take Blues LW Alexander Steen, for example. Hes enjoying the best season of his career, with 33 goals and 60 points in 64 games. Hes a tremendous two-way player who has probably been underrated, but hes received more accolades this year because hes become a more prolific goal-scorer. Even though his scoring has slowed since an outrageous start to the year, when he scored 17 goals in 18 games, Steen ranks fifth in the league in goals per game, behind Steven Stamkos, Alex Ovechkin, Gustav Nyquist and Corey Perry. If Steen was finishing at his typical (5-on-5) rate, 8.87% over the previous five seasons coming into the year, that would knock 11 even-strength goals off his total and while 22 goals and 49 points in 64 games is a fine season, its not held in the same esteem as Steens 33-goal, 60-point season. When youve evaluating Steen going forward, is it fair to conclude that hes now the player who scores on 18.4% of his 5-on-5 shots, or is that departure from his established performance level essentially a fluke? There is a lot of randomness at play for a player to have his shooting percentage skyrocket, Steen (and his linemates -- David Backes and T.J. Oshie) deserve some credit because Steen is getting better quality shots than he has in previous seasons. Using Some Kind of Ninjas shot tracker, we can see that Steens average shooting distance, at even-strength, is 28.4 feet, his best of all years tracked since 2008-2009. So, getting shots 3-4 feet closer on average may account for some improvement, though most likely not enough to more than double his even-strength shooting percentage. Lets look at Nyquist, who had four goals in 40 NHL games entering this season and now has 28 goals in 51 games this year, virtually saving the Red Wings playoff chances. Even the most optimistic fan isnt going to expect Nyquist to keep scoring on more than 20% of his shots, simply because no one does. This isnt to rain on Nyquists current goal parade, because its awesome, but if we reasonably think that Nyquist might be an above-average shooter (even, as high as 12%), then that would typically mean 12 goals at 5-on-5 instead of 21 -- that nine-goal difference would be massive for both Nyquist and the Red Wings. Its the kind of thing that no player needs to apologize for, but everyone must understand that these runs will end and regression will bring a player closer to his real skill level. That can still be very good, just not necessarily the out-of-this-world pace that Nyquist is keeping now. By the same token, how many times do you hear a player, mired in a slump, say that they feel okay as long as they are getting their chances? Its cliche, but utterly true. Sure, this player might be snakebitten for 10 games, 20 games, even a whole season, but if there is an established level of being able to score, there have to be extreme reasons for that player to suddenly and dramatically lose that skill. If youre looking for bounceback players going into next season, then, consider some of those that saw their shooting percentages crash this year and, by contrast, you might consider selling high on those players that finished at an abnormally high rate this season. Below, youll see players that have the widest differentials in their previously-established 5-on-5 shooting percentages compared to their results this season. My thanks to stats.hockeyanalysis.com for the data. HIGH INDIVIDUAL SHOOTING PERCENTAGE (min. 10 5-on-5 goals in 2013-2014) Alexander Steen, LW, St. Louis 2007-2013 5-on-5 SH%: 8.87 2013-14 5-on-5 SH%: 18.40 Difference: +9.53 Joe Pavelski, C, San Jose 2007-2013 5-on-5 SH%: 8.19 2013-14 On-ice SH%: 16.80 Difference: +8.61 Ryan OReilly, LW, Colorado 2007-2013 5-on-5 SH%: 6.98 2013-14 On-ice SH%: 15.13 Difference: +8.15 Joel Ward, RW, Washington 2007-2013 5-on-5 SH%: 6.67 2013-14 On-ice SH%: 14.44 Difference: +7.77 Ryan Getzlaf, C, Anaheim 2007-2013 5-on-5 SH%: 10.42 2013-14 On-ice SH%: 17.32 Difference: +6.90 Nick Foligno, LW, Columbus 2007-2013 5-on-5 SH%: 7.89 2013-14 On-ice SH%: 14.74 Difference: +6.85 Artem Anisimov, C, Columbus 2007-2013 5-on-5 SH%: 9.83 2013-14 On-ice SH%: 15.38 Difference: +6.45 Frans Nielsen, C, N.Y. Islanders 2007-2013 5-on-5 SH%: 8.89 2013-14 On-ice SH%: 14.89 Difference: +6.00 Valtteri Filppula, C, Tampa Bay 2007-2013 5-on-5 SH%: 11.96 2013-14 On-ice SH%: 17.20 Difference: +5.24 (Honourable mention to Nashvilles Nick Spaling, who has nine 5-on-5 goals, but has seen 5-on-5 shooting percentage jump from 8.38% to 13.64% and San Joses Martin Havlat, who only has eight goals, but his SH% is up from 9.47% to 16.00%.) LOW INDIVIDUAL SHOOTING PERCENTAGE (forwards with min. 20 5-on-5 goals from 2007-2008 through 2012-2013) Matt DAgostini, RW, Buffalo 2007-2013 5-on-5 SH%: 7.54 2013-14 On-ice SH%: 2.53 Difference: -5.01 Todd Bertuzzi, RW, Detroit 2007-2013 5-on-5 SH%: 9.95 2013-14 On-ice SH%: 4.76 Difference: -5.19 Torrey Mitchell, RW, Buffalo 2007-2013 5-on-5 SH%: 7.62 2013-14 On-ice SH%: 2.33 Difference: -5.29 Mathieu Perreault, C, Anaheim 2007-2013 5-on-5 SH%: 21.90 2013-14 On-ice SH%: 16.46 Difference: -5.44 Kyle Brodziak, C, Minnesota 2007-2013 5-on-5 SH%: 10.20 2013-14 On-ice SH%: 4.49 Difference: -5.71 Blake Comeau, RW, Columbus 2007-2013 5-on-5 SH%: 9.66 2013-14 On-ice SH%: 3.49 Difference: -6.17 Ryan Malone, LW, Tampa Bay 2007-2013 5-on-5 SH%: 11.90 2013-14 On-ice SH%: 5.66 Difference: -6.24 Tomas Fleischmann, LW, Florida 2007-2013 5-on-5 SH%: 11.58 2013-14 On-ice SH%: 5.26 Difference: -6.32 Colin Wilson, LW, Nashville 2007-2013 5-on-5 SH%: 14.02 2013-14 On-ice SH%: 7.59 Difference: -6.43 Steve Ott, C, St. Louis 2007-2013 5-on-5 SH%: 9.82 2013-14 On-ice SH%: 3.33 Difference: -6.49 David Jones, RW, Calgary 2007-2013 5-on-5 SH%: 13.92 2013-14 On-ice SH%: 6.67 Difference: -7.25 Steve Bernier, RW, New Jersey 2007-2013 5-on-5 SH%: 9.78 2013-14 On-ice SH%: 2.41 Difference: -7.37 Shawn Horcoff, C, Dallas 2007-2013 5-on-5 SH%: 9.69 2013-14 On-ice SH%: 2.04 Difference: -7.62 T.J. Galiardi, LW, Calgary 2007-2013 5-on-5 SH%: 10.31 2013-14 On-ice SH%: 2.47 Difference: -7.84 Benoit Pouliot, N.Y. Rangers 2007-2013 5-on-5 SH%: 13.46 2013-14 On-ice SH%: 4.81 Difference: -8.65 Alexandre Burrows, RW, Vancouver 2007-2013 5-on-5 SH%: 12.77 2013-14 On-ice SH%: 4.11 Difference: -8.66 Martin Erat, LW, Phoenix 2007-2013 5-on-5 SH%: 11.90 2013-14 On-ice SH%: 2.50 Difference: -9.40 Marcus Johansson, LW, Washington 2007-2013 5-on-5 SH%: 14.47 2013-14 On-ice SH%: 3.03 Difference: -11.44 Ville Leino, LW, Buffalo 2007-2013 5-on-5 SH%: 12.50 2013-14 On-ice SH%: 0.00 Difference: -12.50 Steve Downie, RW, Philadelphia 2007-2013 5-on-5 SH%: 13.00 2013-14 On-ice SH%: 0.00 Difference: -13.00 Scott Cullen can be reached at Scott.Cullen@bellmedia.ca and followed on Twitter at http://twitter.com/tsnscottcullen. For more, check out TSN Fantasy on Facebook. Stitched Buffalo Bills Jerseys . On Saturday, the paths of Drew Tate and Kevin Glenn cross again as opposing quarterbacks. Buffalo Bills Jerseys Outlet . - After sewage backups, toilet overflows and foul smells surfaced the past two years, nothing at the Oakland Coliseum surprises the home team anymore. http://www.cheapbills.us/. Catch all the action on TSN starting at 10:30pm et/7:30pm pt. Toronto won at Denver and Utah, but lost in Portland and Sacramento. The Kings loss was the most recent game for the Raptors. Buffalo Bills Jerseys China . PETERSBURG, Fla. Cheap Buffalo Bills Gear . A strong fastball. A big, bending curveball that can buckle hitters at the knees. Against the Detroit Tigers on Sunday, Elias put the entire package together against one of the leagues strongest lineups.No one likes it when luck is referred to when evaluating the performance of hockey players and teams. It goes against our ingrained notion, particularly in sports, that hard work is rewarded and that players create their own luck. But, the truth is, there are so many things that happen on the ice over which a single player has little to no control. Advanced stats pioneer Gabriel Desjardins has taken the position that, in a given season, 38% of the standings results are luck-driven. (Start with shootouts and go from there.) When it comes to individual players, there are a couple of numbers to look at to see if a player has been lucky, getting the bounces, whatever, and that is contributing to better-than-expected results. On-ice shooting percentage refers to the 5-on-5 shooting percentage of all players when a particular player is on the ice. League average goaltending offers about a .922 save percentage in 5-on-5 situations so, naturally, average on-ice shooting percentages come in at 7.8%. Not every player shoots the puck with the same effectiveness, but even the best skaters can only have so much impact on a metric that involves four other skaters at any given time. Very few players can, over the long haul, generate a substantially higher on-ice shooting percentage because it is so dependent on the performance of others. Sure, Sidney Crosby can hover over 11% and random fourth-liners hang around 5% year after year, but somewhere in between is where the vast majority of players fall. (Since 2007, among skaters to play at least 1000 minutes at 5-on-5, 592 of 796 skaters -- 74.4% -- fall between 6.5% and 9.0% on-ice shooting.) The opposite angle of that percentage game is a players on-ice save percentage during 5-on-5 situations and this is another number that, over a larger sample, is beyond a skaters control. A lot of it will depend on the goaltender, though a factor like quality of competition can play into those results too. If youre facing top lines every night, for example, its not easy to hold their shooting percentages to five or six percent. While the standard short-form measure for whether a player has been lucky is PDO (which combines on-ice shooting and save percentages), I thought I would break it into components because, while the tendency is to have a PDO around 1000 over the long haul, there are players that are outside that range. Of 796 skaters to play at least 1000 5-on-5 minutes over the past seven seasons, 39 players have a cumulative PDO higher than 102.00, while 44 players have a PDO lower than 98.00. That leaves 713 of 796 (89.6%) within that 98-102 range. What Ive done is pulled out those players that have the largest differential from their previously-established on-ice shooting and save percentages to see who has benefited or being punished, essentially, by luck. (minimum 1000 5-on-5 minutes 2007-2013; 500 5-on-5 minutes this season) HIGH ON-ICE SHOOTING Francois Beauchemin, D, Anaheim 2007-2013 On-ice SH%: 6.86 2013-14 On-ice SH%: 11.30 Difference: +4.44 Vladimir Sobotka, C, St. Louis 2007-2013 On-ice SH%: 5.91 2013-14 On-ice SH%: 9.14 Difference: +3.23 Ryan Getzlaf, C, Anaheim 2007-2013 On-ice SH%: 9.51 2013-14 On-ice SH%: 12.62 Difference: +3.11 Tyler Bozak, C, Toronto 2007-2013 On-ice SH%: 8.43 2013-14 On-ice SH%: 11.40 Difference: +2.97 Its difficult for individual players to affect on-ice shooting percentage, but especially so for defencemen, because they tend not to shoot the puck as often as forwards. So, Francois Beauchemin being far above his previous norms can be tied to spending a lot of his time on the ice with Ryan Getzlaf and Corey Perry. Oh, and it turns out that Getzlaf is even having more success than usual this year. Blues C Vladimir Sobotka is an interesting case because hes spent much of his career as a third and fourth-liner, and been plenty effective in that role, but with St. Louis, hes had the opportunity to move up the depth chart. His most common linemates have been Jaden Schwartz and Vladimir Tarasenko, much better than typical checking line fare, and that should be at least part of the reason for his dramatic increase. Then we get to Tyler Bozak, the Maple Leafs centre who has come under so much criticism in recent seasons, but has quieted critics this season, scoring 45 points in 53 games. Certainly, Bozak reaps the rewards of playing with Phil Kessel and James van Riemsdyk on Torontos top line, but thats not unfamiliar territory -- Bozak has played a lot with Kessel over the years -- so the conclusion to be drawn from this is that Bozak (like anyone far exceeding their established norms) is likely due for some regression because, no matter how much of a Tyler Bozak supporter you might be, theres no argument to be made that he somehow creates scoring chances at the same calibre of Sidney Crosby over the long haul. LOW ON-ICE SHOOTING Bryan Bickell, LW, Chicago 2007-2013 On-ice SH%: 9.05 2013-14 On-ice SH%: 5.88 Difference: -3.17 Kris Letang, C, Pittsburgh 2007-2013 On-ice SH%: 9.00 2013-14 On-ice SH%: 5.74 Difference: -3.26 Dan Cleary, RW, Detroit 2007-2013 On-ice SH%: 7.90 2013-14 On-ice SH%: 4.58 Difference: -3.32 Steve Ott, C, St. Louis 2007-2013 On-ice SH%: 8.03 2013-14 On-ice SH%: 4.43 Difference: -3.60 Matt Hendricks, LW, Edmonton 2007-2013 On-ice SH%: 6.68 2013-14 On-ice SH%: 3.05 Difference: -3.63 Alex Ovechkin, RW, Washington 2007-2013 On-ice SH%: 9.54 2013-14 On-ice SH%: 5.66 Difference: -3.88 Steve Bernier, RW, New Jersey 2007-2013 On-ice SH%: 8.46 2013-14 On-ice SH%: 4.39 Difference: -4.07 Alexander Edler, D, Vancouver 2007-2013 On-ice SH%: 8.12 2013-14 On-ice SH%: 3.88 Difference: -4.22 Ville Leino, LW, Buffalo 2007-2013 On-ice SH%: 8.52 2013-14 On-ice SH%: 3.53 Difference: -4.99 While this season has obviously been far from ideal for Blackhawks LW Bryan Bickell following his tremendous 2013 playoff performance, he has scored 10 goals, his most since 2010-2011, while playing 11:18 per game. However, Bickell has also managed just two assists in 53 games -- the last one coming December 30 -- so no one is doing much scoring with Bickell on the ice and, in the rare instances that they do, hes rarely part of the scoring play. Veterans Dan Cleary and Steve Bernier run into fourth-line problems. Theres no guarantee that skating on the fourth line is going to leave you with an on-ice shooting percentage that low, but thats not going to happen with a full season on the first line either. To an extreme, look at what has happened with Matt Hendricks, already starting from a relatively low point and still finding a way to cut that percentage more than in half -- he hasnt recorded an assist in 27 games withh Edmonton.dddddddddddd Ville Leino and, since traded Steve Ott suffer from the effects of playing together in Buffalo, apparently. Kris Letang and Alexander Edler counted among the unluckiest defencemen, epecially so in Letangs case since his most common forwards have been Sidney Crosby, Kris Letang and Evgeni Malkin -- not exactly lacking in finishing skill. Of course, we cant ignore Alex Ovechkin, who has spent plenty of time with Nicklas Backstrom and Marcus Johansson, but Ovechkin has been the only one on the Capitals scoring when hes on the ice 5-on-5. In those situations, Ovechkin has 20 goals on 215 shots (9.3%) and the rest of the Capitals on the ice with him have combined for 10 goals on 309 shots (3.2%). Its such a dramatic departure from Ovechkins previous levels, that it doesnt reasonably figure to be the new norm, unless the Capitals decide to keep skating Ovechkin with Jay Beagle on a regular basis. HIGH ON-ICE SAVE PERCENTAGE Paul Ranger, D, Toronto 2007-2013 On-ice SH%: 88.76 2013-14 On-ice SV%: 93.58 Difference: +4.82 Kyle Clifford, LW, Los Angeles 2007-2013 On-ice SH%: 91.75 2013-14 On-ice SV%: 95.41 Difference: +3.66 Nikita Nikitin, D, Columbus 2007-2013 On-ice SV%: 90.73 2013-14 On-ice SV%: 94.32 Difference: +3.59 John Mitchell, C, Colorado 2007-2013 On-ice SV%: 91.71 2013-14 On-ice SV%: 95.21 Difference: +3.50 Marco Scandella, D, Minnesota 2007-2013 On-ice SH%: 90.76 2013-14 On-ice SV%: 94.09 Difference: +3.33 John-Michael Liles, D, Carolina 2007-2013 On-ice SH%: 90.99 2013-14 On-ice SV%: 94.32 Difference: +3.32 Anze Kopitar, C, Los Angeles 2007-2013 On-ice SH%: 91.48 2013-14 On-ice SV%: 94.70 Difference: +3.22 Cody McLeod, LW, Colorado 2007-2013 On-ice SV%: 91.91 2013-14 On-ice SV%: 95.08 Difference: +3.17 Maxime Talbot, RW, Colorado 2007-2013 On-ice SV%: 91.56 2013-14 On-ice SV%: 94.73 Difference: +3.17 Alexei Emelin, D, Montreal 2007-2013 On-ice SV%: 89.68 2013-14 On-ice SV%: 92.84 Difference: +3.16 When you see the list of players that have experienced higher-than-normal save percentages, it doesnt seem to indicate anything more than they are playing in front of goaltenders having strong seasons and thats fine, but given the variance in goaltending from year to year, thats not something upon which you would like to base your opinion of a skater. Paul Ranger is at the extreme end, but his data also has a large gap for the years that he didnt play between the Lightning and the Leafs. Kyle Clifford and Anze Kopitar have strong goaltending in Los Angeles, but theyve had strong goaltending in the past, so it sure seems that theyre extra fortunate this year. The Colorado trio of John Mitchell, Cody McLeod and Maxime Talbot is certainly reaping the rewards of Semyon Varlamovs play. Its those fortuitous percentages that leave them with positive plus-minus numbers despite subpar puck possession stats. Where the value comes in seeing these numbers is in terms of perception. Nikita Nikitin or Marco Scandella may not be held in terribly high regard, but these numbers show that there is some luck involved in their respective plus ratings this season, the type that would be due to regress in time. LOW ON-ICE SAVE PERCENTAGE Pavel Datsyuk, C, Detroit 2007-2013 On-ice SV%: 92.33 2013-14 On-ice SV%: 89.26 Difference: -3.07 Eric Nystrom, LW, Nashville 2007-2013 On-ice SV%: 92.38 2013-14 On-ice SV%: 89.29 Difference: -3.09 Michal Rozsival, D, Chicago 2007-2013 On-ice SV%: 92.51 2013-14 On-ice SV%: 89.40 Difference: -3.11 Frans Nielsen, C, N.Y. Islanders 2007-2013 On-ice SV%: 91.85 2013-14 On-ice SV%: 88.64 Difference: -3.21 Michael Grabner, LW, N.Y. Islanders 2007-2013 On-ice SV%: 91.57 2013-14 On-ice SV%: 88.25 Difference: -3.32 Dustin Byfuglien, RW, Winnipeg 2007-2013 On-ice SV%: 92.03 2013-14 On-ice SV%: 88.66 Difference: -3.37 Dmitry Kulikov, D, Florida 2007-2013 On-ice SV%: 92.89 2013-14 On-ice SV%: 89.49 Difference: -3.40 Mike Cammalleri, LW, Calgary 2007-2013 On-ice SV%: 92.06 2013-14 On-ice SV%: 88.59 Difference: -3.47 Ryane Clowe, LW, New Jersey 2007-2013 On-ice SV%: 92.21 2013-14 On-ice SV%: 88.72 Difference: -3.49 Keith Ballard, D, Minnesota 2007-2013 On-ice SV%: 93.41 2013-14 On-ice SV%: 89.88 Difference: -3.53 Taylor Pyatt, LW, Pittsburgh 2007-2013 On-ice SV%: 93.83 2013-14 On-ice SV%: 90.07 Difference: -3.76 T.J. Galiardi, LW, Calgary 2007-2013 On-ice SV%: 92.00 2013-14 On-ice SV%: 88.18 Difference: -3.82 Patrik Elias, LW, New Jersey 2007-2013 On-ice SV%: 91.58 2013-14 On-ice SV%: 87.67 Difference: -3.91 Lee Stempniak, RW, Pittsburgh 2007-2013 On-ice SV%: 92.74 2013-14 On-ice SV%: 88.38 Difference: -4.36 On the other end of the save percentage spectrum, is it a collection of players that are clueless around their own end? Not especially. Theres an all-time great two-way forward, Pavel Datsyuk, and a puck-rushing defenceman-turned-forward Dustin Byfuglien that might be considered at opposite ends of the defensive spectrum by some, but it really appears to be a random list that includes both offensive and defensive players. Are they players who have had some shaky goaltending behind them this year? Yes. Stempniak, Galiardi and Cammalleri have been victims of Calgarys subpar puck-stoppers, while Elias and Clowe take some lumps with New Jerseys goaltending. This group consists of the players that have been unlucky relative to previous seasons and, aside from Pyatt and Stempniak, who joined Pittsburgh in-season, the rest are all on teams that rank in the bottom third of save percentage this season. The takeaway, then, is not to worry so much about Stempniak being minus-21 in 52 games with the Flames because, with better goaltending alone, he would be due to improve, and hes quickly plus-5 in his first 15 games with Pittsburgh. Patrik Elias may be a minus player, but he continues to be a strong possession player whose numbers would appear more favourable with the randomness of better goaltending when hes on the ice. Thats the story to be revealed by some of these numbers, that some players are getting good breaks this year, others arent and, in the relatively small sample of a single season of hockey, these things happen. Over time, those numbers tend to even out, so the players that have been fortunate this year, may be hard-pressed to duplicate their success, while those that have been getting a bit of a raw deal could be expected to have better days ahead. Scott Cullen can be reached at Scott.Cullen@bellmedia.ca and followed on Twitter at http://twitter.com/tsnscottcullen. For more, check out TSN Fantasy on Facebook. 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