Deprecated: Constant FILTER_SANITIZE_STRING is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/Header.php on line 8
OTHL - Wolves 

Wolves
GP: 82 | W: 55 | L: 22 | OTL: 5 | P: 115
GF: 303 | GA: 155 | PP%: 21.62% | PK%: 90.75%
DG: James | Morale : 50 | Moyenne d'Équipe : 59
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Astuces sur les Filtres (Anglais seulement)
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 C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Dominic TurgeonXX100.008073976373808756705056675353536250610251919,167$
2Nicholas BaptisteX100.008075906475677151504948644645455750570251800,000$
3Liam Foudy (R)XXX100.0051515555555555555555555555555555505402131,269,167$
4Juuso Valimaki (R)X100.0073438578756862552548487325464660506302221,319,166$
5Sami NikuX100.007343807566696161256347662548486150620242916,666$
6Kale Clague (R)X100.007165847165677057254851614844445950600223761,666$
7Daniel BrickleyX100.008077865677505246253739633744445050550261925,000$
Rayé
1John GilmourX100.007871947471707553253951644847475950610282800,000$
MOYENNE D'ÉQUIPE100.00736284677066675438494964424848585059
Astuces sur les Filtres (Anglais seulement)
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Adam Werner (R)100.00575974735961516058573044445750580
Rayé
MOYENNE D'ÉQUIPE100.0057597473596151605857304444575058
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colilton57578891655268CAN351600,000$


Astuces sur les Filtres (Anglais seulement)
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

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Morgan GeekieGolden KnightsC6439428161340811222025418019.31%3127619.95414183920310142008070.79%118100021.2734000764
2Dominic TurgeonWolves (VGK)C/LW82344478726820961082045314516.67%11157319.1948123824920241793163.49%60800020.9902202593
3Nicholas BaptisteWolves (VGK)RW8219547360815130831604611111.88%10140417.13212142720900021064160.28%14100001.0402001414
4Lias AnderssonGolden KnightsC/LW6032407256240631231745411318.39%19120320.05510152918312342037166.00%70300001.20150007610
5Juuso ValimakiWolves (VGK)D64174259333207959110235915.45%50133320.847132063194011221630 0.00%000000.8800000545
6Jake EvansGolden KnightsC/RW642730575828044431604911016.88%4117418.3528102319310131445364.55%11000010.9712000445
7Gustav LindstromGolden KnightsD6616385436641011861109286414.68%40143621.761214266220301102211250.00%200000.7500101242
8John GilmourWolves (VGK)D671535505870101285368274922.06%39118617.71415177701109642 0.00%000000.8411101344
9Liam FoudyWolves (VGK)C/LW/RW822126473730082861584110713.29%12137516.771781813820241331164.04%57000000.6802000322
10Drake BathersonGolden KnightsC/RW3017193624460835998256817.35%164121.3757121810410141053059.49%50600001.1202000132
11Daniel BrickleyWolves (VGK)D82102030179952047680225412.50%40136316.6334721690220982147.68%15100000.4401100114
12Henri JokiharjuGolden KnightsD28820289140153640103120.00%1862822.4654926100022011600 0.00%000000.8900000200
13Vince DunnGolden KnightsD35324271318028396424474.69%3668219.491233691112169000.00%200000.7911000021
14Nolan PatrickGolden KnightsC15915241080134544133720.45%433422.274598490114592173.61%41300011.4401000130
15Kale ClagueWolves (VGK)D30715222255643966224810.61%3755118.3955104076011057200.00%100000.8000100121
16Sami NikuWolves (VGK)D3441620540066354214299.52%3370320.69369358700008500100.00%100000.5700000002
Stats d'équipe Total ou en Moyenne88527848075855168155129410671779505125215.63%3571687019.0667120187500223291221322093451365.76%438900060.90723605465149
Astuces sur les Filtres (Anglais seulement)
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
1Adam WernerWolves (VGK)82552150.9051.82482301714615300600.72025820341
Stats d'équipe Total ou en Moyenne82552150.9051.82482301714615300600.72025820341


Astuces sur les Filtres (Anglais seulement)
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 Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam WernerWolves (VGK)G261995-01-01Yes200 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Daniel BrickleyWolves (VGK)D261995-03-30No205 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Dominic TurgeonWolves (VGK)C/LW251996-02-24No196 Lbs6 ft2NoNoNo1Pro & Farm919,167$0$0$NoLien / Lien NHL
John GilmourWolves (VGK)D281993-05-17No195 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Juuso ValimakiWolves (VGK)D221998-10-06Yes204 Lbs6 ft2NoNoNo2Pro & Farm1,319,166$0$0$No1,319,166$Lien
Kale ClagueWolves (VGK)D221998-06-05Yes177 Lbs6 ft0NoNoNo3Pro & Farm761,666$0$0$No761,666$761,666$Lien / Lien NHL
Liam FoudyWolves (VGK)C/LW/RW212000-02-04 5:33:01 AMYes182 Lbs6 ft2NoNoNo3Pro & Farm1,269,167$0$0$No1,269,167$1,269,167$
Nicholas BaptisteWolves (VGK)RW251995-08-04No206 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien
Sami NikuWolves (VGK)D241996-10-10No176 Lbs6 ft1NoNoNo2Pro & Farm916,666$0$0$No916,666$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
924.33193 Lbs6 ft12.00959,537$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Liam FoudyDominic TurgeonNicholas Baptiste40122
230122
320122
4Nicholas BaptisteDominic TurgeonLiam Foudy10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Juuso ValimakiSami Niku40122
2Kale ClagueDaniel Brickley30122
320122
4Juuso ValimakiSami Niku10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Liam FoudyDominic TurgeonNicholas Baptiste60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Juuso ValimakiSami Niku60122
2Kale ClagueDaniel Brickley40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dominic TurgeonNicholas Baptiste60122
2Liam Foudy40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Juuso ValimakiSami Niku60122
2Kale ClagueDaniel Brickley40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dominic Turgeon60122Juuso ValimakiSami Niku60122
2Nicholas Baptiste40122Kale ClagueDaniel Brickley40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dominic TurgeonNicholas Baptiste60122
2Liam Foudy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Juuso ValimakiSami Niku60122
2Kale ClagueDaniel Brickley40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Liam FoudyDominic TurgeonNicholas BaptisteJuuso ValimakiSami Niku
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Liam FoudyDominic TurgeonNicholas BaptisteJuuso ValimakiSami Niku
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Liam Foudy, Dominic Turgeon, Nicholas BaptisteLiam Foudy, Dominic TurgeonNicholas Baptiste
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kale Clague, Daniel Brickley, Juuso ValimakiKale ClagueDaniel Brickley, Juuso Valimaki
Tirs de Pénalité
Dominic Turgeon, Nicholas Baptiste, Liam Foudy, ,
Gardien
#1 : Adam Werner, #2 :
Lignes d'Attaque Perso. en Prol.
Dominic Turgeon, Nicholas Baptiste, Liam Foudy, , , , , , , ,
Lignes de Défense Perso. en Prol.
Juuso Valimaki, Sami Niku, Kale Clague, Daniel Brickley,


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
1 Americans2020000014-31010000001-11010000013-200.00012300121869362666762269332471620201218.33%9188.89%01321220359.96%1076196154.87%730119661.04%231917161682508951519
2Admirals311000101091110000003212010001077040.667101525001218693663667622693328120315211327.27%12283.33%01321220359.96%1076196154.87%730119661.04%231917161682508951519
3Barracudas430000101257210000108352200000042281.000122032011218693691667622693328122448023313.04%22195.45%11321220359.96%1076196154.87%730119661.04%231917161682508951519
4Bears2200000016412110000009091100000074341.00016294501121869367166762269332381132523133.33%11190.91%01321220359.96%1076196154.87%730119661.04%231917161682508951519
5Bruins2020000068-21010000056-11010000012-100.00061016001218693625667622693324613303412216.67%14564.29%11321220359.96%1076196154.87%730119661.04%231917161682508951519
6Checkers21100000422110000004041010000002-220.5004711011218693625667622693323411102912325.00%50100.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
7Comets4220000078-1211000004402110000034-140.5007132000121869365766762269332842142522114.76%21195.24%11321220359.96%1076196154.87%730119661.04%231917161682508951519
8Condors40400000514-92020000026-42020000038-500.00057120012186936776676226933212029387627414.81%18194.44%01321220359.96%1076196154.87%730119661.04%231917161682508951519
9Crunch210001006421000010023-11100000041330.7506111700121869363566762269332491218418112.50%8187.50%01321220359.96%1076196154.87%730119661.04%231917161682508951519
10Devils22000000835110000004221100000041341.00081422001218693649667622693324213204210440.00%10280.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
11Eagles330000001531222000000100101100000053261.0001525400212186936986676226933229918484125.00%80100.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
12Griffins22000000422110000001011100000032141.000471101121869366066762269332511318525120.00%9188.89%11321220359.96%1076196154.87%730119661.04%231917161682508951519
13Gulls431000001183220000007342110000045-160.750112233001218693699667622693327621379615426.67%15380.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
14Heat422000001311222000000101920200000310-740.500132336011218693681667622693328532496425624.00%21195.24%01321220359.96%1076196154.87%730119661.04%231917161682508951519
15IceHogs3110001045-1210000104221010000003-340.6674610011218693643667622693326824575410220.00%21385.71%01321220359.96%1076196154.87%730119661.04%231917161682508951519
16Marlies220000001028110000003121100000071641.000101727001218693655667622693322811143521419.05%6183.33%11321220359.96%1076196154.87%730119661.04%231917161682508951519
17Monsters2020000038-51010000023-11010000015-400.00036900121869362466762269332341021406233.33%8187.50%01321220359.96%1076196154.87%730119661.04%231917161682508951519
18Moose30100002811-31000000134-12010000157-220.3338152300121869365066762269332771928421417.14%12283.33%01321220359.96%1076196154.87%730119661.04%231917161682508951519
19Penguins210001005411000010023-11100000031230.750510150012186936416676226933250822457228.57%10190.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
20Phantoms2200000013112110000008171100000050541.000132437011218693647667622693322911314210550.00%130100.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
21Rampage 33000000153122200000012391100000030361.00015264101121869369066762269332291215856350.00%50100.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
22Reign431000001861221100000431220000001431160.7501833510012186936111667622693326317698816531.25%210100.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
23Roadrunners55000000339243300000020416220000001358101.0003356890012186936152667622693329326349810440.00%16193.75%11321220359.96%1076196154.87%730119661.04%231917161682508951519
24Rocket210000015321000000123-11100000030330.750510150112186936386676226933227431356116.67%12191.67%01321220359.96%1076196154.87%730119661.04%231917161682508951519
25Senators22000000642110000002111100000043141.00069150012186936456676226933234516341200.00%7185.71%01321220359.96%1076196154.87%730119661.04%231917161682508951519
26Sound Tigers22000000171161100000070711000000101941.00017314801121869361026676226933214210413133.33%40100.00%11321220359.96%1076196154.87%730119661.04%231917161682508951519
27Stars321000001165110000004312110000073440.66711182901121869368066762269332572412807114.29%40100.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
28Thunderbirds21100000642110000004041010000024-220.5006101601121869363366762269332501931428112.50%12191.67%01321220359.96%1076196154.87%730119661.04%231917161682508951519
29Wild330000001921711000000606220000001321161.000193554021218693612266762269332321116696466.67%80100.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519
30Wolf Pack2200000012111110000008081100000041341.0001223350112186936100667622693322898433133.33%40100.00%11321220359.96%1076196154.87%730119661.04%231917161682508951519
Total82522200233303155148412870022216062984124150001114393501150.70130353483701712186936199066762269332157645582216113337221.62%3463290.75%81321220359.96%1076196154.87%730119661.04%231917161682508951519
_Since Last GM Reset82522200233303155148412870022216062984124150001114393501150.70130353483701712186936199066762269332157645582216113337221.62%3463290.75%81321220359.96%1076196154.87%730119661.04%231917161682508951519
_Vs Conference482914000321759679241740002193355824121000011826121660.68817530347809121869361183667622693329382824689521864222.58%1921592.19%21321220359.96%1076196154.87%730119661.04%231917161682508951519
_Vs Division2110600022823943106100011421428114500011402515260.61982140222071218693654666762269332373119177430581525.86%70790.00%01321220359.96%1076196154.87%730119661.04%231917161682508951519

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82115L3303534837199015764558221611017
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8252220233303155
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41287022216062
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412415001114393
Derniers 10 Matchs
WLOTWOTL SOWSOL
540001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3337221.62%3463290.75%8
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
6676226933212186936
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
1321220359.96%1076196154.87%730119661.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
231917161682508951519


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-10-244Barracudas3Wolves4WXXSommaire du Match
3 - 2020-10-2617Wolves2Barracudas1WSommaire du Match
7 - 2020-10-3042Bruins6Wolves5LSommaire du Match
9 - 2020-11-0147Wolves7Roadrunners2WSommaire du Match
11 - 2020-11-0374Heat1Wolves5WSommaire du Match
12 - 2020-11-0475Wolves9Reign1WSommaire du Match
14 - 2020-11-0690Admirals2Wolves3WSommaire du Match
16 - 2020-11-08105Senators1Wolves2WSommaire du Match
18 - 2020-11-10119Wolves3Penguins1WSommaire du Match
20 - 2020-11-12130Wolves5Phantoms0WSommaire du Match
21 - 2020-11-13136Wolves0IceHogs3LSommaire du Match
24 - 2020-11-16160Eagles0Wolves3WSommaire du Match
26 - 2020-11-18176Gulls2Wolves3WSommaire du Match
30 - 2020-11-22195Rocket3Wolves2LXXSommaire du Match
32 - 2020-11-24217Moose4Wolves3LXXSommaire du Match
35 - 2020-11-27225Wolves1Monsters5LSommaire du Match
37 - 2020-11-29247Wolves7Marlies1WSommaire du Match
39 - 2020-12-01262Wolves7Bears4WSommaire du Match
40 - 2020-12-02266Wolves3Griffins2WSommaire du Match
43 - 2020-12-05285IceHogs2Wolves3WXXSommaire du Match
46 - 2020-12-08304Wolves5Reign2WSommaire du Match
47 - 2020-12-09315Heat0Wolves5WSommaire du Match
49 - 2020-12-11330Marlies1Wolves3WSommaire du Match
51 - 2020-12-13345Barracudas0Wolves4WSommaire du Match
53 - 2020-12-15359Condors2Wolves1LSommaire du Match
55 - 2020-12-17367Wolves5Stars0WSommaire du Match
57 - 2020-12-19383Wolves3Admirals4LSommaire du Match
59 - 2020-12-21401Roadrunners1Wolves10WSommaire du Match
62 - 2020-12-24423Wolves4Wolf Pack1WSommaire du Match
63 - 2020-12-25428Wolves4Devils1WSommaire du Match
65 - 2020-12-27444Wolves10Sound Tigers1WSommaire du Match
68 - 2020-12-30466Wolf Pack0Wolves8WSommaire du Match
70 - 2021-01-01482IceHogs0Wolves1WSommaire du Match
72 - 2021-01-03496Wolves3Rampage 0WSommaire du Match
73 - 2021-01-04500Wolves2Stars3LSommaire du Match
75 - 2021-01-06517Comets1Wolves2WSommaire du Match
77 - 2021-01-08533Wild0Wolves6WSommaire du Match
79 - 2021-01-10546Wolves3Comets1WSommaire du Match
82 - 2021-01-13568Wolves2Barracudas1WSommaire du Match
83 - 2021-01-14580Eagles0Wolves7WSommaire du Match
87 - 2021-01-18582Wolves3Gulls2WSommaire du Match
88 - 2021-01-19601Roadrunners1Wolves5WSommaire du Match
91 - 2021-01-22624Gulls1Wolves4WSommaire du Match
93 - 2021-01-24637Phantoms1Wolves8WSommaire du Match
95 - 2021-01-26652Rampage 2Wolves6WSommaire du Match
98 - 2021-01-29673Penguins3Wolves2LXSommaire du Match
100 - 2021-01-31688Reign1Wolves3WSommaire du Match
102 - 2021-02-02701Monsters3Wolves2LSommaire du Match
105 - 2021-02-05715Wolves1 Americans3LSommaire du Match
107 - 2021-02-07735Wolves4Senators3WSommaire du Match
109 - 2021-02-09748Wolves3Rocket0WSommaire du Match
112 - 2021-02-12761Wolves1Bruins2LSommaire du Match
122 - 2021-02-22786Wolves0Checkers2LSommaire du Match
123 - 2021-02-23800Wolves4Admirals3WXXSommaire du Match
126 - 2021-02-26822Wolves4Crunch1WSommaire du Match
128 - 2021-02-28831Wolves2Thunderbirds4LSommaire du Match
130 - 2021-03-02852Checkers0Wolves4WSommaire du Match
133 - 2021-03-05871Wolves9Wild0WSommaire du Match
135 - 2021-03-07890Rampage 1Wolves6WSommaire du Match
137 - 2021-03-09905Sound Tigers0Wolves7WSommaire du Match
139 - 2021-03-11919Bears0Wolves9WSommaire du Match
142 - 2021-03-14939Crunch3Wolves2LXSommaire du Match
144 - 2021-03-16958Thunderbirds0Wolves4WSommaire du Match
145 - 2021-03-17959Wolves1Gulls3LSommaire du Match
148 - 2021-03-20983Condors4Wolves1LSommaire du Match
150 - 2021-03-22998 Americans1Wolves0LSommaire du Match
152 - 2021-03-241016Reign2Wolves1LSommaire du Match
154 - 2021-03-261027Devils2Wolves4WSommaire du Match
157 - 2021-03-291048Wolves1Moose2LSommaire du Match
159 - 2021-03-311060Wolves0Heat3LSommaire du Match
160 - 2021-04-011067Wolves1Condors4LSommaire du Match
163 - 2021-04-041087Wolves4Wild2WSommaire du Match
166 - 2021-04-071111Wolves5Eagles3WSommaire du Match
168 - 2021-04-091130Stars3Wolves4WSommaire du Match
169 - 2021-04-101133Wolves6Roadrunners3WSommaire du Match
172 - 2021-04-131163Griffins0Wolves1WSommaire du Match
174 - 2021-04-151175Comets3Wolves2LSommaire du Match
176 - 2021-04-171190Roadrunners2Wolves5WSommaire du Match
180 - 2021-04-211223Wolves4Moose5LXXSommaire du Match
182 - 2021-04-231232Wolves2Condors4LSommaire du Match
184 - 2021-04-251244Wolves3Heat7LSommaire du Match
186 - 2021-04-271271Wolves0Comets3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets400
Assistance79,85338,848
Assistance PCT97.38%94.75%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2895 - 96.50% 77,905$3,194,120$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,962,877$ 863,585$ 863,585$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
4,643$ 1,362,856$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 7,869$ 0$





Warning: Undefined variable $TeamCareerSumSeasonOnly in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/FarmTeam.php on line 1324
LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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