Umfragen... » particularly kind as a team to Ward,

If there’s one area in hockey analytics that’s lagging behind, it’s primarily in the realm of goaltender studies. Outside of multi-year even-strength save percentage – which, of course, requires a goaltender to face thousands of shots over a series of seasons – there simply isn’t a ton to measure a goaltender’s true talent level. While save percentage is a decent metric over longer samples, it’s subject to the same, wild fluctuations that shooting percentage experiences in smaller ones. For one brief example, consider quickly the below table of six goaltenders around the league: Small Sample Goaltending Performance Goaltender Team 2014-2015 EV SV% Craig Anderson Ottawa .963 Corey Crawford Chicago .941 Ondrej Pavelec Winnipeg .929 Henrik Lundqvist N.Y. Rangers .916 Tuukka Rask Boston .914 Semyon Varlamov Colorado .907 Anyone willing to take the first three goaltenders over the next three goaltenders going forward? One of the things that clouds smaller sample save percentages, aside from random variance, is fluctuation in a team’s ability to prevent shooters from generating shot-attempts in scoring chance areas. This is particularly important, because we know shot distance correlates well with shooting percentage. Shot distance (as a proxy for “shot quality”) may pale in importance compared to territorial control in today’s National Hockey League, but it still holds a sliver of importance. And, since team effects aren’t equal across all thirty teams, it is data worth considering. Over at War on Ice, Andrew Thomas has started to compile save percentages for goaltenders adjusted based on the quality of the shots they have seen. His adjustments weight the likelihood of every shot against becoming a goal against based on the distance of said shot. Thus, his adjusted save percentage both captures the goaltender’s ability to stop shots, and the possibility that certain goaltenders simply face shots of varying difficulty due to team effects. The adjustments are fairly small, but in some cases, important. For example, if a goaltender stops 92% of shots he’s faced, is he playing well? Generally, the answer is yes. But what if he went through a three-week stretch where opposing teams haven’t been able to muster much in the scoring chance department? Is that 92% number still good? Is it possible that 92% is underwhelming, failing to meet expectations? By grabbing the unadjusted and adjusted EVSV% at War on Ice, we can quickly graph out what goaltenders are seeing their save percentages inflated a bit by relatively easy shot distance faced, and what goaltenders are seeing their save percentages deflated by relatively difficult shot distance faced. What I’ve done is charted the difference between the ‘Unadjusted EVSV%’ and ‘Adjusted EVSV% (here referred to as ‘Delta Quality’). Negative goaltenders see their save percentages drop after accounting for shot distance faced. Positive goaltenders see their save percentages rise after accounting for shot distance faced. DELTA SAVE PERCENTAGE Goalie Team Unadjusted EV SV% Adjusted EV SV% Delta EV SV% Henrik Lundqvist NYR 91.6% 92.6% +1.0% Cam Ward CAR 90.3% 91.3% +1.0% Semyon Varlamov COL 90.7% 91.5% +0.9% Carey Price MTL 91.6% 92.4% +0.8% Marc-Andre Fleury PIT 94.1% 94.6% +0.5% Kari Lehtonen DAL 92.6% 93.1% +0.5% Mike Smith ARI 90.6% 90.9% +0.3% Michal Neuvirth BUF 92.5% 92.8% +0.3% Jonas Hiller CGY 93.6% 93.9% +0.3% Ondrej Pavelec WPG 92.9% 93.1% +0.2% Frederik Andersen ANA 94.8% 95.0% +0.2% Corey Crawford CHI 94.2% 94.4% +0.2% Jonathan Bernier TOR 92.4% 92.6% +0.1% Jaroslav Halak NYI 92.0% 92.1% +0.1% Jonathan Quick LA 95.3% 95.5% +0.1% Ryan Miller VAN 91.6% 91.7% +0.1% Ben Bishop TB 91.3% 91.4% +0.1% Ben Scrivens EDM 90.2% 90.2% 0.0% Jhonas Enroth BUF 91.8% 91.8% 0.0% Antti Niemi SJ 92.4% 92.4% 0.0% Jimmy Howard DET 92.1% 91.9% -0.2% Braden Holtby WSH 90.6% 90.3% -0.3% Roberto Luongo FLA 95.0% 94.7% -0.3% Brian Elliott STL 94.2% 93.6% -0.5% Pekka Rinne NSH 95.4% 94.9% -0.5% Sergei Bobrovsky CBJ 90.5% 89.8% -0.7% Cory Schneider NJ 92.6% 91.8% -0.8% Darcy Kuemper MIN 91.0% 90.2% -0.8% Craig Anderson OTT 96.3% 95.4% -0.9% Tuukka Rask BOS 91.5% 90.5% -1.1% Steve Mason PHI 92.0% 90.8% -1.3% Click here for a graphical representation of the above chart. At the poles, we can see a few notable goalies who see a fairly significant reduction or bump based on the shot distance of opposing shooters. The two most interesting goalies at the bottom, to me, are Craig Anderson and Tuukka Rask. Craig Anderson (.963 EVSV%, .954 aEVSV%) has been absolutely stellar for Ottawa, but maybe a small reason why the Senators have been piling up wins despite poor possession numbers is that their starting goaltender has seen slightly easier than expected shots against. Tuukka Rask (.914 EVSV%, .904 aEVSV%) is notable for another reason entirely – he’s struggled for Boston in the early going, but it’s not because he’s facing particularly difficult shots. Rask’s been one of the best goaltenders in the league for a long time and this is almost certainly a blip on the radar but, based on this, it’s possible he’s been even a bit worse than initially thought. On the other side, we see the polar opposite of Tuukka Rask in Henrik Lundqvist. Lundqvist (.916 EVSV%, .926 aEVSV%) has also seemed to struggle in the early parts of the season, but he sees a nice little bump in his adjusted percentages because the shots he’s faced have come from in-tight. Cam Ward (.889 EVSV%, .900 aEVSV%) has seen his percentages sliding for years now, and I think skepticism about his game is warranted at this point. But, here’s one data point in his favor – Carolina wasn’t particularly kind as a team to Ward, and he ends up with the most favorable adjustment in save percentage of any goalie in the league. Still, it should be noted that Ward’s adjusted save percentage doesn’t speak highly of him as a goalie. Adjusted save percentage is far from the singular data-point every hockey executive wants, but it is another tool in the tool belt – one that will help us just a bit in contextualizing goaltender performance. Eden Hazard Jersey . 1 Caroline Wozniacki and three-time champion Serena Williams cruised into the semifinals, while last years runner-up Vera Zvonareva succumbed to Aussie Samantha Stosur in Thursdays womens quarterfinal action at the U. Charly Musonda Jersey . -- Isaiah Pead took a stutter step forward, then raced to the left sideline and travelled 60 yards up the field before finally getting tripped up by a leg tackle. http://www.chelseafcproshop.com/Kids-Danny-Drinkwater-Jersey/ . -- Ben Brust scored 19 points to lead six Wisconsin players in double figures as the No. Michy Batshuayi Jersey . -- Jane Kish stopped all 25 shots she faced as the Weyburn Gold Wings blanked the Sudbury Lady Wolves 3-0 on Friday to advance to the gold-medal game at the Esso Cup. Cheap Chelsea Jersey .One day after winning her record 63rd World Cup race, Vonn posted to her Facebook account Tuesday that she was happy Woods surprised her by coming to the race, and that she felt terrible that his tooth got knocked out.Next stop on Around the QB Horn: Hamilton, Ontario. This is where youll find the Beast of the East, a Tiger-Cat team that went 8-2 against East Division opponents. Thats tops in the Division with two more wins than Toronto, four more than Montreal. Simply put, Hamilton is considered a major threat to be playing in Regina on November 24th. Offensively this team is led by 14-year veteran Henry (Smilin Hank) Burris. Hes a 38-year-old quarterback that plays like hes in his mid-20s. Burris can still make any throw on the field, often times making it look easy! He possesses the ability to make defenders miss and can gash a defense with his legs just as well as he can with his cannon-like right arm. Some folks talk about Henrys turnover woes, which do seem to come at the most inappropriate times, but what makes Burris so good is he can do things other quarterbacks cant and often times makes it look easy. So when he does make a mistake, it can leave you scratching your head and wondering what he was thinking. He was just being Henry, which is pretty damn amazing. Id much rather have a quarterback with his rare and unique skill set at the helm and try to real him in a bit than one without his abilities and ask him to do things hes not capable of. Put it this way, with Henry, you live and die by the sword, but at least you have one! He gives the Ticats a chance to win every time on the field. Much has been made about Dan LeFevours play this year in short yardage situations. When you digest the fact that you have a 38-year-old starting quarterback, you dont want to put him into the most violent scenario, ultimately the short yardage game. Kent Austin managed his quarterbacks and did it wisely by removing Henry from this abuse and inserted a younger and certainly talented rushing quarterback in his own right, in LeFevour. LeFevour is a second-yeaar Ticat from Central Michigan who has scored seven touchdowns on 54 rushing attempts.dddddddddddd Thats 54 less touches on Burris in a guaranteed contact and severe collision mode situation. LeFevour has been solid when given the opportunity to chuck it down field as he has completed 40-62 passes for 394 yards, a 64.5 percent completion percentage. Id look for a few attempts when hes in short yardage scenarios Sunday, as that would be a tendency breaker... A couple of weeks back, we saw the emergence of Jeremiah Masoli, a dynamic young quarterback from Ole Miss. He was used in a wildcat formation against Montreal and was extremely effective. Masoli is a firecracker of a quarterback that is cut from the same cloth as many of the leagues running backs at 510 and 221 lbs. Coach Austin has spared his veteran gunslinger some obvious punishment in short yardage situations this season by employing the skill set of the younger LeFevour, and balanced an aggressive Montreal defence with the deployment of Masoli in the misdirection wildcat offence. But - and this is a big but - he took away valuable touches from one of the most electrifying running backs in the CFL this year, super-rookie CJ Gable. Austin continues to tinker and tweak his offense, keeping opposing defenses on their toes and often times, their heels. Austin is creative, effective and certainly not afraid of mixing it up from week to week. Lets see how the “Mad Scientist” Kent Austin attacks Montreals stout defence this Sunday. No doubt Burris will be slinging it all over the field making it look easy, LeFevour will be doing his thing in short yardage and maybe even Masoli will be deployed in the wildcat offence balancing up that aggressive Als defence. Should be a great game Sunday at the University of Guelphs Alumni Stadium! Wholesale MLB Orioles Jerseys Red Sox Jerseys From China Discount Yankees Jerseys Online Rays Jerseys For Sale Blue Jays Jerseys From China Wholesale MLB White Sox Jerseys Indians Jerseys For Sale Tigers Jerseys From China Wholesale MLB Astros Jerseys Cheap Baseball Angels Jerseys Athletics Jerseys From China Mariners Jerseys For Sale Cheap Baseball Rangers Jerseys Braves Jerseys For Sale Discount Marlins Jerseys Online Discount Mets Jerseys Online Phillies Jerseys From China Wholesale MLB Nationals Jerseys Cubs Jerseys From China Discount Reds Jerseys Online Brewers Jerseys From China Wholesale MLB Pirates Jerseys Wholesale MLB Cardinals Jerseys Diamondbacks Jerseys For Sale Rockies Jerseys For Sale Discount Dodgers Jerseys Online Discount Padres Jerseys Online Giants Jerseys For Sale ' ' '