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OTHL - Barracudas 

Barracudas
GP: 82 | W: 59 | L: 19 | OTL: 4 | P: 122
GF: 438 | GA: 212 | PP%: 20.54% | PK%: 81.09%
DG: Brian | Morale : 50 | Moyenne d'Équipe : 59
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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
1Nic PetanXXX100.006341917962585769326555662559596350620263775,000$
2Zack MacEwenXX100.008999686680547258445680612545457150620241996,000$
3Joseph LaBateXX100.007781696181727660755858655545456250610282681,000$
4Kieffer BellowsX100.0072717469717782595047676264444464506102231,106,666$
5Dylan SikuraXXX100.0066588661588084648061626159474764506102511,387,500$
6J.T. BrownXX100.0065607566607479577150546451687159506003011,250,000$
7Danick MartelX100.006257736257626363505763616055556250590261700,000$
8Matt LoritoXX100.006961886361616259505756605344446050570301800,000$
9Alexey Toropchenko (R)X100.008076886276717847504346634444445550560213879,167$
10Cole UllyXX100.007066796466565849504944584244445350530263646,667$
11Jimmy Schuldt (R)X100.007675776175616453254645624344445550581262925,000$
12Zac LeslieX100.006864776364707454255242594044445550580273616,667$
13Brogan Raferty (R)X100.007872926472646660256043444459506150570261700,000$
14Michael DowningX100.007777776677424146253740613844445050550263820,000$
Rayé
1Robbie RussoX100.0072688163687177512547406038454554505802800$
MOYENNE D'ÉQUIPE100.00726880656965695745525360454948595059
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

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# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
Rayé
MOYENNE D'ÉQUIPE 0.00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin Gelinas41657355454654CAN461675,000$


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

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# 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
1Zack MacEwenBarracudas (SJS)C/RW8212925154841321036612964020247620.16%61156819.12168249324500003717358.89%90000181.963401021105
2Nic PetanBarracudas (SJS)C/LW/RW82368211869100531722536116214.23%18129915.855192435205000034252.82%157900111.8222000394
3Kieffer BellowsBarracudas (SJS)LW67684110965611515513342212231516.11%33101815.21921121590111308550.82%6100072.140010210910
4Adam HelewkaSharksLW78446210664104301361032466118817.89%21127716.3771522392000000478054.84%12400011.6626231468
5Dylan SikuraBarracudas (SJS)C/LW/RW8241641056912059762545018116.14%16130615.937162340209000004262.75%10200011.6100000547
6Matt LoritoBarracudas (SJS)LW/RW82475410160375911162979721815.82%51110913.5311212241011674156.45%6200041.8200001735
7Zac LeslieBarracudas (SJS)D821683997778018775110377614.55%91174121.247132058272000018632 0.00%000001.1400000189
8Cole UllyBarracudas (SJS)LW/RW821957765183516972161509311.80%72133616.307121959216000002075.00%800001.1400001233
9Gustav ForslingSharksD50841494138090458824509.09%53103720.75491347162000113310 0.00%000000.9400000134
10Alexey ToropchenkoBarracudas (SJS)RW5814102495606650101307413.86%498416.980334510000282166.67%7800000.4901000110
11Michael DowningBarracudas (SJS)D374131715561061213361312.12%2757715.6021313101000010720100.00%100000.5900101012
12Warren FoegeleSharksLW/RW165813240172642184411.90%935722.3622413640000560139.13%2300000.7313000211
13Robert ThomasSharksC/RW816702012923694.35%218022.570119350000290053.71%22900000.7801000010
14Joseph LaBateBarracudas (SJS)C/LW9246325513182071810.00%314015.6301104000171053.78%11900000.8500100001
Stats d'équipe Total ou en Moyenne81543455098460969880146410652690771191716.13%4611393617.106710317044318541124736561754.12%2476001321.41817546575959
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
1Laurent BrossoitSharks81591840.9002.3647778818818730810.83324810401
Stats d'équipe Total ou en Moyenne81591840.9002.3647778818818730810.83324810401


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
Alexey ToropchenkoBarracudas (SJS)RW211999-06-25Yes201 Lbs6 ft3NoNoNo3Pro & Farm879,167$0$0$No879,167$879,167$Lien
Brogan RafertyBarracudas (SJS)D261995-05-28 3:00:57 PMYes192 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Cole UllyBarracudas (SJS)LW/RW261995-02-20No170 Lbs6 ft0NoNoNo3Pro & Farm646,667$0$0$No646,667$646,667$Lien
Danick MartelBarracudas (SJS)LW261994-12-12No162 Lbs5 ft8NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Dylan SikuraBarracudas (SJS)C/LW/RW251995-06-01No158 Lbs5 ft11NoNoNo1Pro & Farm1,387,500$0$0$NoLien / Lien NHL
J.T. BrownBarracudas (SJS)C/RW301990-07-02No169 Lbs5 ft10NoNoNo1Pro & Farm1,250,000$0$0$NoLien / Lien NHL
Jimmy SchuldtBarracudas (SJS)D261995-05-11Yes205 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Joseph LaBateBarracudas (SJS)C/LW281993-04-16No210 Lbs6 ft5NoNoNo2Pro & Farm681,000$0$0$No681,000$Lien / Lien NHL
Kieffer BellowsBarracudas (SJS)LW221998-06-10No196 Lbs6 ft0NoNoNo3Pro & Farm1,106,666$0$0$No1,106,666$1,106,666$Lien / Lien NHL
Matt LoritoBarracudas (SJS)LW/RW301990-07-03No170 Lbs5 ft9NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Michael DowningBarracudas (SJS)D261995-05-19No205 Lbs6 ft3NoNoNo3Pro & Farm820,000$0$0$No820,000$820,000$Lien
Nic PetanBarracudas (SJS)C/LW/RW261995-03-21No179 Lbs5 ft9NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$Lien / Lien NHL
Robbie RussoBarracudas (SJS)D281993-02-15No189 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Zac LeslieBarracudas (SJS)D271994-01-31No174 Lbs6 ft0NoNoNo3Pro & Farm616,667$0$0$No616,667$616,667$Lien
Zack MacEwenBarracudas (SJS)C/RW241996-07-08No205 Lbs6 ft3NoNoNo1Pro & Farm996,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1526.07186 Lbs6 ft01.87818,911$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zack MacEwen40122
2Nic PetanDylan Sikura30122
3Matt Lorito20122
4Cole Ully10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zac Leslie40122
2Cole Ully30122
320122
4Zac Leslie10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zack MacEwen60122
2Nic PetanDylan Sikura40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zac Leslie60122
2Cole Ully40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Zack MacEwen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zac Leslie60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Zac Leslie60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Zack MacEwen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zac Leslie60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zack MacEwenZac Leslie
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zack MacEwenZac Leslie
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Matt Lorito, Matt Lorito
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Zac Leslie, Zac Leslie
Tirs de Pénalité
, , , Zack MacEwen, Nic Petan
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,
Lignes de Défense Perso. en Prol.
, , , ,


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 Americans22000000725110000002111100000051441.00071219001881421029429459561000353113433813215.38%70100.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
2Admirals312000008711010000023-12110000064220.3338111900188142102966945956100035863138461218.33%170100.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
3Bears22000000183151100000010281100000081741.0001826440018814210291179459561000353168445120.00%4175.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
4Bruins2020000025-31010000012-11010000013-200.00024600188142102944945956100035451225301516.67%7271.43%01006229343.87%768216935.41%542135639.97%214516341920505891456
5Checkers220000001349110000004041100000094541.00013223501188142102972945956100035348125410330.00%60100.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
6Comets5110003014113301000206602100001085380.800141731001881421029939459561000351373062892428.33%23578.26%01006229343.87%768216935.41%542135639.97%214516341920505891456
7Condors40201010915-62000101064220200000311-840.5009918001881421029719459561000351434449792100.00%21195.24%11006229343.87%768216935.41%542135639.97%214516341920505891456
8Crunch210001001064110000007251000010034-130.75010172700188142102981945956100035582414398225.00%6183.33%01006229343.87%768216935.41%542135639.97%214516341920505891456
9Devils22000000174131100000010281100000072541.00017284500188142102976945956100035622122398450.00%11281.82%01006229343.87%768216935.41%542135639.97%214516341920505891456
10Eagles330000002652111000000624220000002031761.00026477301188142102918594595610003566176666233.33%3233.33%01006229343.87%768216935.41%542135639.97%214516341920505891456
11Griffins220000001349110000005231100000082641.00013223500188142102987945956100035291119504125.00%6183.33%01006229343.87%768216935.41%542135639.97%214516341920505891456
12Gulls43100000251510211000001211122000000134960.75025406500188142102915294595610003510727389010330.00%14378.57%01006229343.87%768216935.41%542135639.97%214516341920505891456
13Heat430001001679220000009092100010077070.8751626420218814210299894595610003510133357724416.67%130100.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
14IceHogs311000101192100000103212110000087140.66711152600188142102973945956100035752318601516.67%9366.67%01006229343.87%768216935.41%542135639.97%214516341920505891456
15Marlies22000000862110000004311100000043141.00081119001881421029489459561000355211222910330.00%11372.73%01006229343.87%768216935.41%542135639.97%214516341920505891456
16Monsters2110000012841010000046-21100000082620.500122032101881421029429459561000356220163111545.45%7357.14%01006229343.87%768216935.41%542135639.97%214516341920505891456
17Moose321000001213-1220000009631010000037-440.667121830001881421029589459561000357418305517317.65%15660.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
18Penguins20200000513-81010000038-51010000025-300.00059140018814210297394595610003576161442600.00%7357.14%01006229343.87%768216935.41%542135639.97%214516341920505891456
19Phantoms2100010013941000010056-11100000083530.750131932001881421029529459561000356420304510440.00%9277.78%01006229343.87%768216935.41%542135639.97%214516341920505891456
20Rampage 330000002231911000000918220000001321161.00022355701188142102916094595610003543132742500.00%60100.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
21Reign43100000201192110000087122000000124860.7502033530018814210291339459561000358727307312433.33%15566.67%01006229343.87%768216935.41%542135639.97%214516341920505891456
22Roadrunners44000000355302200000017116220000001841481.0003553880118814210292319459561000357730188710550.00%80100.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
23Rocket22000000936110000006241100000031241.0009152400188142102961945956100035391442449222.22%16287.50%01006229343.87%768216935.41%542135639.97%214516341920505891456
24Senators220000001073110000006511100000042241.000101525001881421029729459561000354619223610440.00%9277.78%01006229343.87%768216935.41%542135639.97%214516341920505891456
25Sound Tigers2200000022319110000001129110000001111041.0002238600018814210291389459561000352958564250.00%4250.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
26Stars33000000209112200000014771100000062461.0002032520018814210291079459561000358524225410440.00%10370.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
27Thunderbirds2020000039-61010000023-11010000016-500.00035800188142102939945956100035742032141218.33%15380.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
28Wild33000000331322200000020119110000001301361.000335487021881421029224945956100035402025957342.86%50100.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
29Wolf Pack220000002031711000000927110000001111041.00020325200188142102913694595610003543101052100.00%5180.00%01006229343.87%768216935.41%542135639.97%214516341920505891456
30Wolves40300001512-72020000024-22010000138-510.125591400188142102981945956100035912646652214.55%23386.96%01006229343.87%768216935.41%542135639.97%214516341920505891456
Total825319013514382122264125100114021210310941289002112261091171220.74443869411321818814210292912945956100035198759378316213316820.54%3125981.09%11006229343.87%768216935.41%542135639.97%214516341920505891456
_Since Last GM Reset825319013514382122264125100114021210310941289002112261091171220.74443869411321818814210292912945956100035198759378316213316820.54%3125981.09%11006229343.87%768216935.41%542135639.97%214516341920505891456
_Vs Conference473111011212491141352315501020119506924166001011306466700.745249394643071881421029168194595610003511063464259271843317.93%1662684.34%11006229343.87%768216935.41%542135639.97%214516341920505891456

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82122L1438694113229121987593783162118
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8253191351438212
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4125101140212103
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412890211226109
Derniers 10 Matchs
WLOTWOTL SOWSOL
630100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3316820.54%3125981.09%1
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
9459561000351881421029
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
1006229343.87%768216935.41%542135639.97%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
214516341920505891456


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 - 2020-10-244Barracudas3Wolves4LXXSommaire du Match
3 - 2020-10-2617Wolves2Barracudas1LSommaire du Match
4 - 2020-10-2718Barracudas6Gulls3WSommaire du Match
7 - 2020-10-3039Barracudas1Admirals2LSommaire du Match
9 - 2020-11-0148Barracudas2IceHogs6LSommaire du Match
12 - 2020-11-0476Heat0Barracudas5WSommaire du Match
15 - 2020-11-0796Checkers0Barracudas4WSommaire du Match
18 - 2020-11-10120 Americans1Barracudas2WSommaire du Match
21 - 2020-11-13134Barracudas5 Americans1WSommaire du Match
23 - 2020-11-15150Barracudas3Rocket1WSommaire du Match
24 - 2020-11-16158Barracudas4Marlies3WSommaire du Match
26 - 2020-11-18175Barracudas4Senators2WSommaire du Match
28 - 2020-11-20180Barracudas1Bruins3LSommaire du Match
31 - 2020-11-23201Moose3Barracudas4WSommaire du Match
32 - 2020-11-24216Comets2Barracudas3WXXSommaire du Match
35 - 2020-11-27231IceHogs2Barracudas3WXXSommaire du Match
37 - 2020-11-29246Wild0Barracudas10WSommaire du Match
39 - 2020-12-01259Admirals3Barracudas2LSommaire du Match
42 - 2020-12-04277Condors1Barracudas2WXSommaire du Match
44 - 2020-12-06286Barracudas7Gulls1WSommaire du Match
46 - 2020-12-08310Griffins2Barracudas5WSommaire du Match
49 - 2020-12-11328Condors3Barracudas4WXXSommaire du Match
51 - 2020-12-13345Barracudas0Wolves4LSommaire du Match
53 - 2020-12-15356Sound Tigers2Barracudas11WSommaire du Match
55 - 2020-12-17368Barracudas5Reign2WSommaire du Match
57 - 2020-12-19387Moose3Barracudas5WSommaire du Match
59 - 2020-12-21400Reign3Barracudas6WSommaire du Match
60 - 2020-12-22403Barracudas10Roadrunners2WSommaire du Match
63 - 2020-12-25431Bears2Barracudas10WSommaire du Match
65 - 2020-12-27439Barracudas9Checkers4WSommaire du Match
67 - 2020-12-29461Barracudas3Crunch4LXSommaire du Match
68 - 2020-12-30465Barracudas1Thunderbirds6LSommaire du Match
70 - 2021-01-01479Barracudas5Admirals2WSommaire du Match
72 - 2021-01-03495Wolf Pack2Barracudas9WSommaire du Match
74 - 2021-01-05512Comets3Barracudas1LSommaire du Match
77 - 2021-01-08529Roadrunners0Barracudas8WSommaire du Match
81 - 2021-01-12561Rampage 1Barracudas9WSommaire du Match
82 - 2021-01-13568Wolves2Barracudas1LSommaire du Match
87 - 2021-01-18590Reign4Barracudas2LSommaire du Match
88 - 2021-01-19597Phantoms6Barracudas5LXSommaire du Match
91 - 2021-01-22619Barracudas8Griffins2WSommaire du Match
93 - 2021-01-24635Barracudas2Penguins5LSommaire du Match
95 - 2021-01-26644Barracudas8Monsters2WSommaire du Match
96 - 2021-01-27658Barracudas8Bears1WSommaire du Match
98 - 2021-01-29671Barracudas9Rampage 2WSommaire du Match
100 - 2021-01-31685Monsters6Barracudas4LSommaire du Match
102 - 2021-02-02699Stars3Barracudas5WSommaire du Match
105 - 2021-02-05714Barracudas8Roadrunners2WSommaire du Match
107 - 2021-02-07729Barracudas10Eagles0WSommaire du Match
109 - 2021-02-09754Barracudas4Comets3WXXSommaire du Match
118 - 2021-02-18772Gulls2Barracudas7WSommaire du Match
120 - 2021-02-20780Comets1Barracudas2WXXSommaire du Match
123 - 2021-02-23803Crunch2Barracudas7WSommaire du Match
126 - 2021-02-26816Barracudas4Heat3WSommaire du Match
128 - 2021-02-28830Barracudas2Condors9LSommaire du Match
132 - 2021-03-04863Heat0Barracudas4WSommaire du Match
136 - 2021-03-08894Barracudas3Moose7LSommaire du Match
137 - 2021-03-09900Barracudas13Wild0WSommaire du Match
139 - 2021-03-11918Thunderbirds3Barracudas2LSommaire du Match
142 - 2021-03-14935Barracudas7Devils2WSommaire du Match
144 - 2021-03-16952Barracudas11Wolf Pack1WSommaire du Match
145 - 2021-03-17965Barracudas11Sound Tigers1WSommaire du Match
147 - 2021-03-19977Barracudas8Phantoms3WSommaire du Match
149 - 2021-03-21990Devils2Barracudas10WSommaire du Match
151 - 2021-03-231007Penguins8Barracudas3LSommaire du Match
154 - 2021-03-261025Marlies3Barracudas4WSommaire du Match
156 - 2021-03-281041Wild1Barracudas10WSommaire du Match
158 - 2021-03-301058Senators5Barracudas6WSommaire du Match
159 - 2021-03-311064Eagles2Barracudas6WSommaire du Match
162 - 2021-04-031079Barracudas6IceHogs1WSommaire du Match
164 - 2021-04-051097Barracudas4Rampage 0WSommaire du Match
165 - 2021-04-061103Barracudas6Stars2WSommaire du Match
168 - 2021-04-091124Barracudas10Eagles3WSommaire du Match
170 - 2021-04-111144Rocket2Barracudas6WSommaire du Match
172 - 2021-04-131161Bruins2Barracudas1LSommaire du Match
174 - 2021-04-151170Barracudas3Heat4LXSommaire du Match
176 - 2021-04-171189Barracudas4Comets2WSommaire du Match
178 - 2021-04-191200Barracudas1Condors2LSommaire du Match
180 - 2021-04-211221Roadrunners1Barracudas9WSommaire du Match
182 - 2021-04-231233Barracudas7Reign2WSommaire du Match
184 - 2021-04-251251Stars4Barracudas9WSommaire du Match
186 - 2021-04-271269Gulls9Barracudas5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets990
Assistance36,48738,133
Assistance PCT44.50%93.01%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 1820 - 60.67% 88,103$3,612,213$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,179,597$ 1,228,368$ 1,228,368$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
6,604$ 1,504,523$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 10,233$ 0$





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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