Minnesota Wild
37-21-4, 78pts · 7th 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
1Seth Jarvis Wild C/RW603836742260702778420813.72%1118.8931417152000436235.56%13500111.3111
2Jackson LaCombe Wild D621145561326091102308610.78%10423.586131916000013831-%000100.7700
3Matthew Beniers Wild C562126472180301265411916.67%920.2673101430001143148.01%30200000.8300
4Connor McMichael Wild C/LW62221941-2180561796117512.29%819.873471460001412135.94%40900010.6734
5Simon Holmstrom Wild RW6212284080017186451336.45%1315.0318914600003032.08%5300000.8600
6Aliaksei Protas Wild C62171330-24033172391159.88%1219.254151482021040128.79%33000100.5013
7Ridly Greig Wild C/LW621218308581093149411128.05%812.68000000001037.74%5300000.7601
8Brett Howden Wild C/LW/RW621118290561011513823887.97%1315.680009000155051.79%117200100.6000
9Ryan Lindgren Wild D627222913460978425568.33%9420.5217814900012410-%000000.4600
10Teuvo Teravainen Wild LW/RW58920296001313033986.92%1013.8122456000422240.22%17900000.7201
11Curtis Lazar Wild C/LW/RW49620262020011546153813.04%518.89314120011680050.36%124900000.5603
12Ilya Lyubushkin Wild D6252025115001139018375.56%7620.631451490003810-%000000.3900
13Jesperi Kotkaniemi Wild C62617231280327920477.59%113.670007000302056.94%111700000.5400
14Justin Faulk Wild D62617237275604252614.29%4914.24134480003201-%000000.5200
15Henri Jokiharju Wild D513172011120344726356.38%5919.011231110119712-%000000.4100
16Pavel Mintyukov Wild D624121652407840111210.00%7317.76000302213110-%000000.2900
17Sam Steel Wild C/LW/RW6257123603346113410.87%67.72000100041148.39%52700000.5000
18Sean Durzi Wild D3221012416102714111014.29%4015.610000000010-%000000.4800
19Jordan Martinook Wild C/LW/RW62448120475510417.27%57.85000000002043.33%3000000.3301
20Adam Boqvist Wild D400000001000.00%11.530000000200-%000000.0000
Moyenne d'équipe11162013695701613873511542003562147010.03%59716.4833629515592461131351248.31%555600420.62514
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
1Mackenzie Blackwood Wild 59352040.9152.6935690216018930210.66712593573
2Joseph Woll Wild 32100.9581.67180005119000-0359100
Moyenne d'équipe62372140.9182.6437500216520120210.667126262673
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
1PredatorsPredators503020001718417304700726217263456041474130101303155010512160115723384769850.40010.00%66.67%48.66%49.49%48.32%1198111838643451.9%9.9%87.8%97.6FUN
2Red WingsRed Wings1000001032233600101136612101125611275121010512160115723384769851.00020.00%50.00%48.66%49.49%48.32%302221612766.7%8.3%92.0%100.3DULL
3JetsJets412010008114816240031311153436423168473879112193010512160115723384769850.50018.18%84.21%48.66%49.49%48.32%886010329482342.9%7.0%93.5%100.4DULL
4HurricanesHurricanes211000004324812012200652022230551918298191010512160115723384769850.50012.50%88.89%48.66%49.49%48.32%48334615251160.0%6.2%94.5%100.7DULL
5CanadiensCanadiens11000000422481200013030127110431212131162010512160115723384769851.000100.00%66.67%48.66%49.49%48.32%2215257115100.0%13.3%95.3%108.7LUCKY
6LightningLightning11000000312369001110277911045218207241010512160115723384769851.00028.57%75.00%48.66%49.49%48.32%2517226116100.0%11.1%97.8%108.9LUCKY
7FlyersFlyers10100000230235000200241284037158244141010512160115723384769850.00025.00%75.00%48.66%49.49%48.32%221524712633.3%8.3%91.9%100.2DULL
8SharksSharks4310000020116203757107760120334344011934328783152110512160115723384769850.75037.50%86.67%48.66%49.49%48.32%98688727542865.4%16.7%90.8%107.4FUN
9Black HawksBlack Hawks3300000015761528430056401104142270812124556272110512160115723384769851.00033.33%71.43%48.66%49.49%48.32%74516420412172.2%13.6%91.4%105.0LUCKY
10AvalancheAvalanche3110100086481624016101117443535310636146110070010512160115723384769850.6670.00%100.00%48.66%49.49%48.32%76546820381957.1%6.8%94.3%101.2DULL
11DucksDucks42001001171371730470043931295431381112539236811381010512160115723384769850.87527.27%87.50%48.66%49.49%48.32%96669730542753.8%13.2%89.6%102.8FUN
12OilersOilers51201001121351223350033511654450621215844148811072010512160115723384769850.5000.00%71.43%48.66%49.49%48.32%1259111635623052.2%7.3%91.8%99.0DULL
13SenateursSenateurs110000005225712002300281099035118113041010512160115723384769851.0000.00%75.00%48.66%49.49%48.32%221524712583.3%17.9%94.3%112.1LUCKY
14Maple LeafsMaple Leafs1100000031236900120023123802876160020010512160115723384769851.0000.00%100.00%48.66%49.49%48.32%211426612575.0%13.0%96.4%109.5LUCKY
15CanucksCanucks41200100693611170003301133031511128293862151114010512160115723384769850.3756.67%63.64%48.66%49.49%48.32%96669230542750.0%5.3%93.0%98.3DULL
16BluesBlues4120010014163142539008150136413853414145208510192010512160115723384769850.37510.00%77.78%48.66%49.49%48.32%94659628512548.1%10.3%88.7%98.9FUN
17KingsKings440000001478142539004550120464232011024247751113010512160115723384769851.00020.00%72.73%48.66%49.49%48.32%92639528512576.5%11.7%93.6%105.3LUCKY
18Golden KnightsGolden Knights4310000018156183149003870139345352013137217212361010512160115723384769850.75025.00%83.33%48.66%49.49%48.32%96678927532851.7%12.9%88.5%101.5FUN
19StarsStars3120000087281624004130903525300882816579380010512160115723384769850.33333.33%100.00%48.66%49.49%48.32%71496823402041.7%8.9%92.0%100.9DULL
20DevilsDevils1100000053251015002210397181402952181010010512160115723384769851.0000.00%100.00%48.66%49.49%48.32%251719614762.5%12.8%89.7%102.5FUN
21PanthersPanthers101000001301230001003161312039146162130010512160115723384769850.00050.00%100.00%48.66%49.49%48.32%23152361260.0%3.2%92.3%95.5DULL
22IslandersIslanders1000001032233600011244121414748144173120010512160115723384769851.00033.33%100.00%48.66%49.49%48.32%231627913650.0%6.8%95.8%102.7DULL
23PenguinsPenguins11000000532510150031103313119028152154110010512160115723384769851.00025.00%100.00%48.66%49.49%48.32%261822711657.1%15.2%89.3%104.4FUN
24KrakenKraken3120000081028152300242097313630099338568230010512160115723384769850.33325.00%100.00%48.66%49.49%48.32%80586218371937.5%8.2%89.9%98.1Unlucky
_Vs Division2271004100706523701312010133122147402582212471473121814243876116512110512160115723384769850.52314.47%81.54%48.66%49.49%48.32%52536251916228314552.7%9.5%91.1%100.6LUCKY
_Vs Conference502218062021651436016530346811564558816235305075563816014583029481462412625210512160115723384769850.60016.44%80.16%48.66%49.49%48.32%1211844116136265133254.4%10.2%91.1%101.2FUN
_Since Last GM Reset62292106222203168782033695721268616611200364763368156201359738711541843316432210512160115723384769850.62917.93%80.49%48.66%49.49%48.32%15041048144645080340855.6%10.1%91.7%101.8LUCKY
Total62292106222203168782033695721268616611200364763368156201359738711541843316432210512160115723384769850.62917.93%80.49%48.66%49.49%48.32%15041048144645080340855.6%10.1%91.7%101.8LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2160
Neutral Zone Start 985
Defensive Zone Start 2338
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 2684
Faceoffs Lost 2799
Team Average Shots after League Average Shots after
1st Period 10.49.57
2nd Period 20.620.31
3rd Period 31.630.68
Overtime 32.531.4
Goals in Team Average Goals after League Average Goals after
1st Period10.49.57
2nd Period20.620.31
3rd Period31.630.68
Overtime32.531.4
Even Strength Goal167
PP Goal33
PK Goal2
Empty Net Goal1
Home Away
Win 1918
Lost 912
Overtime Lost 04
Win1918
Lost912
Overtime Lost04
Home
Shots For32.3
Shots Against32.5
Goals For3.3
Goals Against2.7
Hits18.6
Shots Blocked9.6
Pim6.2