Seattle Kraken
35-25-3, 73pts · 8th in Ouest
STATISTIQUE
Astuces sur les Filtres
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Jake Guentzel Kraken LW/RW6330306020320632597218811.58%718.28661215500008244.57%9200001.0425
2Brock Nelson Kraken C/LW632226481460271985214011.11%1015.8444815700013258.86%122500000.9625
3Evan Bouchard Kraken D6363743-2220438832496.82%6022.214591500005010-%000000.6100
4Valeri Nichushkin Kraken LW/RW4721183912215811843710611.41%815.3934711500033237.50%4000001.0802
5Dylan Strome Kraken C631324371938077162391208.02%317.6514514300002161.54%15600000.6724
6William Karlsson Kraken C6312253768028118338710.17%814.2723514000002163.09%23300000.8200
7Tyler Myers Kraken D6352934667151327624516.58%9121.1508815300013410-%000100.5100
8Artem Zub Kraken D6010192942957586356211.63%9521.9734714600013330-%000000.4400
9Alexander Wennberg Kraken C/LW/RW63111627-146018147491137.48%1415.59077650001543053.45%84000010.5500
10Rasmus Ristolainen Kraken D63123245315663717282.70%7717.03000101114001-%000000.4500
11Adam Pelech Kraken D5732124-7320915311285.66%8017.5800010008010-%000000.4800
12Connor Brown Kraken LW/RW636111710068334707.23%1213.8500000111390035.94%6400000.3900
13Robby Fabbri Kraken C/LW637613-212005511629946.03%314.310007000221040.00%8500000.2900
14Dante Fabbro Kraken D5849134280702963013.79%5514.9400070002400-%000000.3000
15Zemgus Girgensons Kraken C/LW/RW635510-23551396518577.69%312.1800013101270038.71%9300000.2600
16Eeli Tolvanen Kraken LW/RW635510-17275978322646.02%413.2022414600000036.96%4600000.2411
17Ben Chiarot Kraken D372578141034296146.90%3012.14011130004910-%000000.3100
18Scott Laughton Kraken C/LW5000-22006140.00%09.02000000000055.10%4900000.0000
19Logan Stanley Palm Springs (SEA) D10000000000-%00.000000000000-%00000-00
20Jansen Harkins Kraken C9000-40048040.00%210.040000000120047.06%3400000.0000
Moyenne d'équipe103016330947230418501106182751713098.92%56216.33254873142112397329954.85%295700110.56717
Astuces sur les Filtres
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jeremy Swayman Kraken 42211630.9052.9524194111912540000.667154023212
2Lukas Dostal Kraken 2514900.9022.99138541697020000.66732340220
Moyenne d'équipe67352530.9042.9738048218819560000.667186363432
Astuces sur les Filtres
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT GF% SH% SV% PDO PDOBRK
1SabresSabres10100000120123001000331111110321881610400126521991120208056510120.0000.00%100.00%57.53%53.85%55.83%231624712633.3%3.0%93.8%96.8DULL
2RangersRangers10100000450481200121033518100278272831400126521991120208056510120.00033.33%100.00%57.53%53.85%55.83%221523713637.5%12.1%81.5%93.6FUN
3PredatorsPredators1010000015012300010022769030742150210126521991120208056510120.0000.00%50.00%57.53%53.85%55.83%201326713620.0%4.5%83.3%87.9Unlucky
4JetsJets311010005645101500301188303423172311655100700126521991120208056510120.6670.00%100.00%57.53%53.85%55.83%67467422371945.5%5.7%91.7%97.3DULL
5CapitalsCapitals110000004124711001210241545030781710400126521991120208056510121.0000.00%100.00%57.53%53.85%55.83%221524613680.0%16.7%96.7%113.3LUCKY
6LightningLightning101000002402460020002512103035361921300126521991120208056510120.00050.00%100.00%57.53%53.85%55.83%211424813620.0%8.0%88.6%96.6Unlucky
7SharksSharks31000110118511182900514210735293888124274392910126521991120208056510120.83322.22%88.89%57.53%53.85%55.83%83585921422256.3%10.3%90.1%100.4FUN
8Black HawksBlack Hawks2200000096491827004230802240180411384971200126521991120208056510121.00014.29%100.00%57.53%53.85%55.83%53384113251457.1%11.3%85.4%96.6FUN
9AvalancheAvalanche41300000111421121320081201465641490117471977121620126521991120208056510120.2508.33%66.67%57.53%53.85%55.83%101708228552945.5%7.5%88.0%95.6Unlucky
10DucksDucks5210101014128142438006242180655549161775530811941530126521991120208056510120.80021.05%80.00%57.53%53.85%55.83%1278911236643352.6%7.8%93.2%101.0DULL
11OilersOilers413000001017210192900523010035273801243046731111130126521991120208056510120.2509.09%72.73%57.53%53.85%55.83%99678830522739.1%10.0%86.3%96.3FUN
12SenateursSenateurs1010000024024600011046111619030841400200126521991120208056510120.0000.00%100.00%57.53%53.85%55.83%241722612633.3%4.3%86.7%91.0Unlucky
13CanucksCanucks202000003703690021006315192906512104160500126521991120208056510120.0000.00%100.00%57.53%53.85%55.83%48334514261430.0%4.8%89.2%94.0Unlucky
14WildWild3210000010841019290045109926353809733185230820126521991120208056510120.6670.00%75.00%57.53%53.85%55.83%62438022371762.5%10.1%91.8%101.9LUCKY
15BluesBlues3210000057458130013109935382609639145490700126521991120208056510120.6670.00%100.00%57.53%53.85%55.83%68467321381941.7%5.1%92.7%97.8DULL
16KingsKings73201001242192443670188732358366731723051441321322181126521991120208056510120.64315.38%61.90%57.53%53.85%55.83%17212116449904562.9%10.2%90.9%101.1FUN
17Golden KnightsGolden Knights5410000020148203757001073016867475401714933971651230126521991120208056510120.80031.25%75.00%57.53%53.85%55.83%1238711234633157.7%11.9%91.8%103.7LUCKY
18StarsStars660000002513122544690061180206656873015250371021861520126521991120208056510121.00033.33%86.67%57.53%53.85%55.83%15110612843804063.3%12.1%91.4%103.6LUCKY
19FlamesFlames51200011162051628440036621633260601618852391061621530126521991120208056510120.50012.50%80.00%57.53%53.85%55.83%1238512136653345.2%9.8%89.4%99.2FUN
20DevilsDevils101000001401230000104112920026882540430126521991120208056510120.0000.00%25.00%57.53%53.85%55.83%271919713750.0%2.4%84.6%87.1Unlucky
21PanthersPanthers202000005100581300230069192723069152426811260126521991120208056510120.00012.50%50.00%57.53%53.85%55.83%44294916251250.0%7.2%85.5%92.8Unlucky
22IslandersIslanders11000000302369012100441418120298102821400126521991120208056510121.00050.00%100.00%57.53%53.85%55.83%2416236126100.0%6.8%100.0%106.8DULL
23PenguinsPenguins1100000052259140002304011161303714101820510126521991120208056510121.0000.00%80.00%57.53%53.85%55.83%241724611583.3%12.5%94.6%107.1LUCKY
_Vs Division31121102132989937981752730139272791016332303341571036273229573901688211126521991120208056510120.59717.78%76.14%57.53%53.85%55.83%77854470322240620851.3%9.6%90.4%100.1FUN
_Vs Conference53261803132164158671642974610165504310175657356557758164149334598315424135281126521991120208056510120.63215.58%79.26%57.53%53.85%55.83%1304909121138369435651.9%9.3%90.4%99.7FUN
_Since Last GM Reset632925031321911907319134753802746150102111683694693581956582450117417728177381126521991120208056510120.57915.82%78.53%57.53%53.85%55.83%15391071144645682241951.7%9.0%90.3%99.3FUN
Total632925031321911907319134753802746150102111683694693581956582450117417728177381126521991120208056510120.57915.82%78.53%57.53%53.85%55.83%15391071144645682241951.7%9.0%90.3%99.3FUN

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 2199
Neutral Zone Start 1012
Defensive Zone Start 2080
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 2950
Faceoffs Lost 2341
Team Average Shots after League Average Shots after
1st Period 10.89.57
2nd Period 21.920.31
3rd Period 32.930.68
Overtime 33.831.4
Goals in Team Average Goals after League Average Goals after
1st Period10.89.57
2nd Period21.920.31
3rd Period32.930.68
Overtime33.831.4
Even Strength Goal162
PP Goal28
PK Goal1
Empty Net Goal0
Home Away
Win 1916
Lost 1114
Overtime Lost 30
Win1916
Lost1114
Overtime Lost30
Home
Shots For33.5
Shots Against31.0
Goals For3.0
Goals Against3.0
Hits18.6
Shots Blocked9.2
Pim7.1