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Hits and Shot blocks

Micklebot

Micklebot

Moderator
Apr 27, 2010
53,829
31,041
Hits and Block stats in general are skewed because you can only register one when you don't have the puck, so guys without the puck rack up hits and blocks. What about if you look at hits/blocks per min without the puck?

I used Corsi% as a proxy for possession time ( (1-CF%) * TOI = TWP) and figured out how many hits/blocks a player register per min without the puck. I only used away data as some arenas pad the stats of the home team.

Here are the top 30 for each.

Player Name | TOI | CF% | Hits | Hits/20 WOP
1 BORDELEAU, PATRICK | 283:06:00 | 0.455 | 74 | 9.5923572246
2 MARTIN, MATT | 473:38:00 | 0.47 | 109 | 8.6843709209
3 REAVES, RYAN | 315:15:00 | 0.513 | 63 | 8.2070388385
4 MALONE, BRAD | 108:48:00 | 0.492 | 21 | 7.5990041686
5 CLUNE, RICHARD | 431:27:00 | 0.471 | 82 | 7.18551173
6 JACKMAN, TIM | 313:02:00 | 0.479 | 58 | 7.1126212033
7 NEIL, CHRIS | 575:10:00 | 0.542 | 93 | 7.0607975158
8 KOMAROV, LEO | 494:28:00 | 0.457 | 92 | 6.8530038131
9 RINALDO, ZAC | 265:30:00 | 0.402 | 54 | 6.8023354685
10 KOSTOPOULOS, TOM | 131:45:00 | 0.61 | 17 | 6.6170388751
11 BOOTH, DAVID | 145:54:00 | 0.605 | 18 | 6.2466922897
12 CLIFFORD, KYLE | 468:20:00 | 0.541 | 67 | 6.2335729072
13 CLUTTERBUCK, CAL | 484:37:00 | 0.481 | 78 | 6.2023874818
14 BEGIN, STEVE | 237:20:00 | 0.478 | 38 | 6.1345731629
15 BOYLE, BRIAN | 438:54:00 | 0.501 | 66 | 6.0270917775
16 KILLORN, ALEXANDER | 148:30:00 | 0.448 | 24 | 5.8556580296
17 WALLACE, TIM | 251:13:00 | 0.47 | 37 | 5.5578574209
18 GLASS, TANNER | 417:38:00 | 0.424 | 65 | 5.4041290872
19 VOLPATTI, AARON | 270:33:00 | 0.447 | 40 | 5.3470878256
20 MACKENZIE, DEREK | 374:43:00 | 0.411 | 59 | 5.3464277518
21 GUDAS, RADKO | 344:51:00 | 0.54 | 42 | 5.2953079789
22 KLINKHAMMER, ROB | 257:24:00 | 0.542 | 31 | 5.2591755649
23 GARBUTT, RYAN | 323:17:00 | 0.488 | 42 | 5.0748827138
24 ADAMS, CRAIG | 397:48:00 | 0.429 | 57 | 5.0188470916
25 MCLAREN, FRAZER | 183:09:00 | 0.364 | 29 | 4.9792502623
26 LUCIC, MILAN | 664:21:00 | 0.574 | 70 | 4.9467674818
27 COMEAU, BLAKE | 445:53:00 | 0.494 | 52 | 4.6095824058
28 MITCHELL, JOHN | 619:54:00 | 0.5 | 71 | 4.5813840942
29 OTT, STEVE | 628:49:00 | 0.401 | 86 | 4.5664381574
30 SMITHSON, JERRED | 374:18:00 | 0.436 | 48 | 4.5474957509


Player Name | TOI | CF% | BS | BS/20WOP
KABERLE, TOMAS | 109:09:00 | 0.565 | 9 | 3.7910499629
SCHULTZ, NICK | 733:20:00 | 0.46 | 69 | 3.4848484848
VATANEN, SAMI | 101:52:00 | 0.487 | 9 | 3.444475062
GIRARDI, DAN | 882:32:00 | 0.505 | 75 | 3.4336414454
CARLSON, JOHN | 809:41:00 | 0.492 | 68 | 3.306435052
SEIDENBERG, DENNIS | 848:01:00 | 0.535 | 64 | 3.2460307447
MESZAROS, ANDREJ | 156:30:00 | 0.386 | 15 | 3.1220405657
SALVADOR, BRYCE | 648:54:00 | 0.493 | 51 | 3.1003765134
PROSSER, NATE | 173:46:00 | 0.476 | 14 | 3.0751072993
VOLCHENKOV, ANTON | 473:41:00 | 0.55 | 32 | 3.0024746959
MURRAY, DOUGLAS | 608:46:00 | 0.451 | 50 | 2.9921047332
WEAVER, MIKE | 436:55:00 | 0.477 | 34 | 2.9758333883
BONINO, NICK | 332:55:00 | 0.431 | 28 | 2.9562436349
BENOIT, ANDRE | 447:22:00 | 0.56 | 29 | 2.9465356192
BOYCHUK, JOHNNY | 742:45:00 | 0.533 | 51 | 2.9406316736
MICHALEK, ZBYNEK | 570:42:00 | 0.509 | 41 | 2.9263380056
FISTRIC, MARK | 326:53:00 | 0.47 | 25 | 2.886033426
DIAZ, RAPHAEL | 318:47:00 | 0.472 | 24 | 2.8517516885
HAMONIC, TRAVIS | 858:58:00 | 0.466 | 64 | 2.7905666638
HAINSEY, RON | 867:40:00 | 0.476 | 63 | 2.7713178863
HJALMARSSON, NIKLAS | 786:44:00 | 0.54 | 50 | 2.7632146134
BROOKBANK, SHELDON | 312:43:00 | 0.507 | 21 | 2.7242774962
ZANON, GREG | 705:50:00 | 0.457 | 52 | 2.713509494
WEBER, MIKE | 627:24:00 | 0.407 | 50 | 2.687823782
BEAUCHEMIN, FRANCOIS | 812:06:00 | 0.495 | 55 | 2.6822039426
PIETRANGELO, ALEX | 830:17:00 | 0.523 | 53 | 2.6764625195
HOLZER, KORBINIAN | 336:49:00 | 0.399 | 27 | 2.6676307462
LYDMAN, TONI | 566:52:00 | 0.483 | 39 | 2.661479587
OLEKSY, STEVEN | 425:49:00 | 0.512 | 27 | 2.5986708921
ZUCCARELLO, MATS | 205:10:00 | 0.582 | 11 | 2.5653084783

Not sure if this is interesting/useful, or if I just re-invented the square wheel. Some players that jumped out to me on the blocked shots list are Andre Benoit, not exactly a know shot blocker and Kaberle/Vatanen(though probably just a sample size issue).
Click to read more...
 

Cunneen

Registered User
May 8, 2013
94
0
Micklebot said:
Hits and Block stats in general are skewed because you can only register one when you don't have the puck, so guys without the puck rack up hits and blocks. What about if you look at hits/blocks per min without the puck?

I used Corsi% as a proxy for possession time ( (1-CF%) * TOI = TWP) and figured out how many hits/blocks a player register per min without the puck. I only used away data as some arenas pad the stats of the home team.

Here are the top 30 for each.

Player Name | TOI | CF% | Hits | Hits/20 WOP
1 BORDELEAU, PATRICK | 283:06:00 | 0.455 | 74 | 9.5923572246
2 MARTIN, MATT | 473:38:00 | 0.47 | 109 | 8.6843709209
3 REAVES, RYAN | 315:15:00 | 0.513 | 63 | 8.2070388385
4 MALONE, BRAD | 108:48:00 | 0.492 | 21 | 7.5990041686
5 CLUNE, RICHARD | 431:27:00 | 0.471 | 82 | 7.18551173
6 JACKMAN, TIM | 313:02:00 | 0.479 | 58 | 7.1126212033
7 NEIL, CHRIS | 575:10:00 | 0.542 | 93 | 7.0607975158
8 KOMAROV, LEO | 494:28:00 | 0.457 | 92 | 6.8530038131
9 RINALDO, ZAC | 265:30:00 | 0.402 | 54 | 6.8023354685
10 KOSTOPOULOS, TOM | 131:45:00 | 0.61 | 17 | 6.6170388751
11 BOOTH, DAVID | 145:54:00 | 0.605 | 18 | 6.2466922897
12 CLIFFORD, KYLE | 468:20:00 | 0.541 | 67 | 6.2335729072
13 CLUTTERBUCK, CAL | 484:37:00 | 0.481 | 78 | 6.2023874818
14 BEGIN, STEVE | 237:20:00 | 0.478 | 38 | 6.1345731629
15 BOYLE, BRIAN | 438:54:00 | 0.501 | 66 | 6.0270917775
16 KILLORN, ALEXANDER | 148:30:00 | 0.448 | 24 | 5.8556580296
17 WALLACE, TIM | 251:13:00 | 0.47 | 37 | 5.5578574209
18 GLASS, TANNER | 417:38:00 | 0.424 | 65 | 5.4041290872
19 VOLPATTI, AARON | 270:33:00 | 0.447 | 40 | 5.3470878256
20 MACKENZIE, DEREK | 374:43:00 | 0.411 | 59 | 5.3464277518
21 GUDAS, RADKO | 344:51:00 | 0.54 | 42 | 5.2953079789
22 KLINKHAMMER, ROB | 257:24:00 | 0.542 | 31 | 5.2591755649
23 GARBUTT, RYAN | 323:17:00 | 0.488 | 42 | 5.0748827138
24 ADAMS, CRAIG | 397:48:00 | 0.429 | 57 | 5.0188470916
25 MCLAREN, FRAZER | 183:09:00 | 0.364 | 29 | 4.9792502623
26 LUCIC, MILAN | 664:21:00 | 0.574 | 70 | 4.9467674818
27 COMEAU, BLAKE | 445:53:00 | 0.494 | 52 | 4.6095824058
28 MITCHELL, JOHN | 619:54:00 | 0.5 | 71 | 4.5813840942
29 OTT, STEVE | 628:49:00 | 0.401 | 86 | 4.5664381574
30 SMITHSON, JERRED | 374:18:00 | 0.436 | 48 | 4.5474957509


Player Name | TOI | CF% | BS | BS/20WOP
KABERLE, TOMAS | 109:09:00 | 0.565 | 9 | 3.7910499629
SCHULTZ, NICK | 733:20:00 | 0.46 | 69 | 3.4848484848
VATANEN, SAMI | 101:52:00 | 0.487 | 9 | 3.444475062
GIRARDI, DAN | 882:32:00 | 0.505 | 75 | 3.4336414454
CARLSON, JOHN | 809:41:00 | 0.492 | 68 | 3.306435052
SEIDENBERG, DENNIS | 848:01:00 | 0.535 | 64 | 3.2460307447
MESZAROS, ANDREJ | 156:30:00 | 0.386 | 15 | 3.1220405657
SALVADOR, BRYCE | 648:54:00 | 0.493 | 51 | 3.1003765134
PROSSER, NATE | 173:46:00 | 0.476 | 14 | 3.0751072993
VOLCHENKOV, ANTON | 473:41:00 | 0.55 | 32 | 3.0024746959
MURRAY, DOUGLAS | 608:46:00 | 0.451 | 50 | 2.9921047332
WEAVER, MIKE | 436:55:00 | 0.477 | 34 | 2.9758333883
BONINO, NICK | 332:55:00 | 0.431 | 28 | 2.9562436349
BENOIT, ANDRE | 447:22:00 | 0.56 | 29 | 2.9465356192
BOYCHUK, JOHNNY | 742:45:00 | 0.533 | 51 | 2.9406316736
MICHALEK, ZBYNEK | 570:42:00 | 0.509 | 41 | 2.9263380056
FISTRIC, MARK | 326:53:00 | 0.47 | 25 | 2.886033426
DIAZ, RAPHAEL | 318:47:00 | 0.472 | 24 | 2.8517516885
HAMONIC, TRAVIS | 858:58:00 | 0.466 | 64 | 2.7905666638
HAINSEY, RON | 867:40:00 | 0.476 | 63 | 2.7713178863
HJALMARSSON, NIKLAS | 786:44:00 | 0.54 | 50 | 2.7632146134
BROOKBANK, SHELDON | 312:43:00 | 0.507 | 21 | 2.7242774962
ZANON, GREG | 705:50:00 | 0.457 | 52 | 2.713509494
WEBER, MIKE | 627:24:00 | 0.407 | 50 | 2.687823782
BEAUCHEMIN, FRANCOIS | 812:06:00 | 0.495 | 55 | 2.6822039426
PIETRANGELO, ALEX | 830:17:00 | 0.523 | 53 | 2.6764625195
HOLZER, KORBINIAN | 336:49:00 | 0.399 | 27 | 2.6676307462
LYDMAN, TONI | 566:52:00 | 0.483 | 39 | 2.661479587
OLEKSY, STEVEN | 425:49:00 | 0.512 | 27 | 2.5986708921
ZUCCARELLO, MATS | 205:10:00 | 0.582 | 11 | 2.5653084783

Not sure if this is interesting/useful, or if I just re-invented the square wheel. Some players that jumped out to me on the blocked shots list are Andre Benoit, not exactly a know shot blocker and Kaberle/Vatanen(though probably just a sample size issue).
Click to expand...

I have written before on the topic of shot blocking (see link below).
http://www.broadstreethockey.com/2013/6/11/4419850/the-value-of-blocking-shots

I have come to the conclusion that shot blocking is a more or less useless skill that is completely overrated. Shot blocking may be useful when blocking shot attempts from close in, but since a majority of blocked shots originate from the point, the data shows no value to blocking shots at a higher rate.
 
Last edited:
hatterson

hatterson

Registered User
Apr 12, 2010
35,393
12,736
North Tonawanda, NY
As with all other stats/analysis I like to ask two fundamental questions.

1.) Is it repeatable? ie, if a player ranks highly over one time period, is it likely they'll rank highly in future time periods?

and, if the answer is yes,

2.) Is it correlated (either positively or negatively) with winning on a team level? ie, if I assemble a team of players who are good in this metric will it help, hinder, or be irrelevant to my chances of winning?

I'm not sure about the repeatable nature of this statistic (would be fairly easy to pull past years data and check the correlation between performance from say 07-09 with performance from 10-12 or similar) however I believe that most of Cuneen's work in the other blocking thread has hinted that the answer to the second is that there's virtually no impact on goal differential (which is itself very highly correlated with team quality)
 

Cunneen

Registered User
May 8, 2013
94
0
hatterson said:
As with all other stats/analysis I like to ask two fundamental questions.

1.) Is it repeatable? ie, if a player ranks highly over one time period, is it likely they'll rank highly in future time periods?

and, if the answer is yes,

2.) Is it correlated (either positively or negatively) with winning on a team level? ie, if I assemble a team of players who are good in this metric will it help, hinder, or be irrelevant to my chances of winning?

I'm not sure about the repeatable nature of this statistic (would be fairly easy to pull past years data and check the correlation between performance from say 07-09 with performance from 10-12 or similar) however I believe that most of Cuneen's work in the other blocking thread has hinted that the answer to the second is that there's virtually no impact on goal differential (which is itself very highly correlated with team quality)
Click to expand...


Correction Hatterson, I looked at it's correlation to Shot differentials. But you got the gist of it right, there doesn't seem to be much value in blocking shots
 
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