Connexion

Spiders
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Simon Bouchard | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #12 vs Phantoms
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Spiders
0-0-0, 0pts
2022-10-13
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Cougars
0-0-0, 0pts
2022-10-15
Spiders
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Admirals
0-0-0, 0pts
2022-10-18
Spiders
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralSimon Bouchard
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 50
Espoirs19


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 moyen
1Anders BjorkXX100.005941947870627758305559724563630506102511,300,000$
2Jake LeschyshynX100.00764393726959835368605774254747050600222778,333$
3Leo KomarovXX100.008546857474586055446152662468700506003411,300,000$
4Drew O'ConnorX100.00654293707657686945596665254646050600231600,000$
5Martin KautX100.00726783806763646250536663634545050600221894,167$
6Alexey ToropchenkoX100.00904684827157625634505869254646050590222775,002$
7Bryce KindoppX100.00746984646974795750535762544444050580222750,000$
8Josh CurrieXX100.00626272646259596379586260624646050570282725,000$
9Rhett GardnerXX100.00798371688370765063474864464747050570251700,000$
10Chase PearsonX100.00797588677563665468505364504444050570241600,000$
11Peter AbbandonatoX100.00776996656955555670604864464444050560233560,000$
12Calle RosenX100.00614192706965696325625169255757050620273925,000$
13Mark FriedmanX100.00756675736862515925514875254747050610252850,000$
14Santeri Hatakka (R)X100.00674292667160556025564772254444050590204850,833$
15Mitch ReinkeX100.007566966366586052254941623944440505602521,200,000$
16Oskari Laaksonen (R)X100.00706582636564675325504159394444050560222853,333$
17Artemi Kniazev (R)X100.00696774676758595425484559434444050560204789,167$
Rayé
1Morgan GeekieXX100.007143917473638170866659642557580506302300$
2Egor Korshkov (R)X100.00677183647150505349445862584444050540251850,000$
3Maxim Cajkovic (R)XX100.00797393667341385350475464514444050540204850,833$
MOYENNE D’ÉQUIPE100.0073598670706064584754546540484805058
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 SPÂgeContratSalaire moyen
Rayé
1Arturs Silovs (R)100.0046405083474950525252304444050520201788,889$
MOYENNE D’ÉQUIPE100.004640508347495052525230444405052
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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’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
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


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 moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexey ToropchenkoSpiders (Har)RW221999-06-25No187 Lbs6 ft3NoNoNo2Pro & Farm775,002$775,002$77,500$77,500$No775,002$Lien
Anders BjorkSpiders (Har)LW/RW251996-08-04No190 Lbs6 ft0NoNoNo1Pro & Farm1,300,000$1,300,000$130,000$130,000$NoLien
Artemi KniazevSpiders (Har)D202001-01-04Yes181 Lbs6 ft0NoNoNo4Pro & Farm789,167$789,167$78,917$78,917$No789,167$789,167$789,167$Lien
Arturs SilovsSpiders (Har)G202001-03-21Yes203 Lbs6 ft4NoNoNo1Pro & Farm788,889$788,889$78,889$78,889$NoLien
Bryce KindoppSpiders (Har)RW221999-06-14No185 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$75,000$75,000$No750,000$Lien
Calle RosenSpiders (Har)D271994-02-01No186 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$92,500$92,500$No925,000$925,000$Lien
Chase PearsonSpiders (Har)C241997-08-22No200 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Drew O'ConnorSpiders (Har)LW231998-06-09No200 Lbs6 ft3NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Egor KorshkovSpiders (Har)RW251996-07-10Yes181 Lbs6 ft4NoNoNo1Pro & Farm850,000$850,000$85,000$85,000$NoLien
Jake LeschyshynSpiders (Har)C221999-03-10No190 Lbs5 ft11NoNoNo2Pro & Farm778,333$778,333$77,833$77,833$No778,333$Lien
Josh CurrieSpiders (Har)C/RW281992-10-29No172 Lbs5 ft10NoNoNo2Pro & Farm725,000$725,000$72,500$72,500$No725,000$Lien
Leo KomarovSpiders (Har)LW/RW341987-01-23No208 Lbs6 ft0NoNoNo1Pro & Farm1,300,000$1,300,000$130,000$130,000$NoLien
Mark FriedmanSpiders (Har)D251995-12-25No185 Lbs5 ft11NoNoNo2Pro & Farm850,000$850,000$85,000$85,000$No850,000$Lien
Martin KautSpiders (Har)RW221999-10-02No176 Lbs6 ft2NoNoNo1Pro & Farm894,167$894,167$89,417$89,417$NoLien
Maxim CajkovicSpiders (Har)LW/RW202001-01-03Yes201 Lbs6 ft0NoNoNo4Pro & Farm850,833$850,833$85,083$85,083$No850,833$850,833$850,833$Lien
Mitch ReinkeSpiders (Har)D251996-02-04No181 Lbs5 ft11NoNoNo2Pro & Farm1,200,000$1,200,000$120,000$120,000$No1,200,000$Lien
Morgan GeekieSpiders (Har)C/RW231998-07-20No192 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Oskari LaaksonenSpiders (Har)D221999-07-02Yes172 Lbs6 ft1NoNoNo2Pro & Farm853,333$853,333$85,333$85,333$No853,333$Lien
Peter AbbandonatoSpiders (Har)C231998-03-25No194 Lbs5 ft11NoNoNo3Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$Lien
Rhett GardnerSpiders (Har)C/LW251996-02-28No225 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$70,000$70,000$NoLien
Santeri HatakkaSpiders (Har)D202001-01-15Yes192 Lbs6 ft1NoNoNo4Pro & Farm850,833$850,833$85,083$85,083$No850,833$850,833$850,833$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2123.67191 Lbs6 ft11.90806,693$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorPeter Abbandonato40122
2Josh Currie30122
3Martin KautChase Pearson20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
3Mitch Reinke20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Peter Abbandonato60122
2Josh CurrieDrew O'Connor40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Peter Abbandonato60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Peter Abbandonato4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Peter Abbandonato60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Peter Abbandonato
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Peter Abbandonato
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Leschyshyn, Chase Pearson, Drew O'ConnorJake Leschyshyn, Chase PearsonDrew O'Connor
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitch Reinke, , Mitch Reinke,
Tirs de pénalité
Josh Currie, Peter Abbandonato, , ,
Gardien
#1 : , #2 :


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
TotalDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs 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
7 - 2022-10-1312Spiders-Phantoms-
9 - 2022-10-1528Cougars-Spiders-
12 - 2022-10-1848Admirals-Spiders-
14 - 2022-10-2066Spiders-Sound Tigers-
16 - 2022-10-2275Sharks-Spiders-
18 - 2022-10-2493Bears-Spiders-
19 - 2022-10-25102Spiders-Cougars-
22 - 2022-10-28123Monsters-Spiders-
24 - 2022-10-30139Monsters-Spiders-
26 - 2022-11-01157Spiders-Comets-
28 - 2022-11-03170Spiders-Oil Kings-
30 - 2022-11-05187Spiders-Heat-
33 - 2022-11-08197Heat-Spiders-
35 - 2022-11-10213Senators-Spiders-
37 - 2022-11-12227Jayhawks-Spiders-
40 - 2022-11-15249Spiders-Rocket-
42 - 2022-11-17264Spiders-Marlies-
44 - 2022-11-19274Spiders-Senators-
46 - 2022-11-21293Oil Kings-Spiders-
48 - 2022-11-23309Marlies-Spiders-
50 - 2022-11-25327Spiders-Crunch-
51 - 2022-11-26336Bears-Spiders-
53 - 2022-11-28346Spiders-Wolf Pack-
56 - 2022-12-01366Chill-Spiders-
58 - 2022-12-03382Spiders-Phantoms-
61 - 2022-12-06403Baby Hawks-Spiders-
64 - 2022-12-09425Sound Tigers-Spiders-
67 - 2022-12-12450Spiders-Wolf Pack-
68 - 2022-12-13456Stars-Spiders-
70 - 2022-12-15473Phantoms-Spiders-
72 - 2022-12-17488Cabaret Lady Mary Ann-Spiders-
75 - 2022-12-20512Spiders-Caroline-
76 - 2022-12-21518Spiders-Cabaret Lady Mary Ann-
78 - 2022-12-23533Bruins-Spiders-
83 - 2022-12-28558Bruins-Spiders-
85 - 2022-12-30576Spiders-Manchots-
87 - 2023-01-01590Caroline-Spiders-
90 - 2023-01-04609Spiders-Cougars-
91 - 2023-01-05616Chiefs-Spiders-
93 - 2023-01-07628Wolf Pack-Spiders-
96 - 2023-01-10650Spiders-Caroline-
99 - 2023-01-13675Spiders-Admirals-
100 - 2023-01-14690Spiders-Monarchs-
102 - 2023-01-16697Spiders-Sharks-
105 - 2023-01-19728Spiders-Seattle-
108 - 2023-01-22746Manchots-Spiders-
110 - 2023-01-24759Las Vegas-Spiders-
112 - 2023-01-26775Spiders-Chill-
113 - 2023-01-27785Spiders-Stars-
123 - 2023-02-06810Comets-Spiders-
126 - 2023-02-09824Seattle-Spiders-
128 - 2023-02-11843Spiders-Minnesota-
131 - 2023-02-14857Spiders-Monsters-
133 - 2023-02-16874Spiders-Chiefs-
135 - 2023-02-18886Spiders-Manchots-
136 - 2023-02-19900Oceanics-Spiders-
138 - 2023-02-21910Rocket-Spiders-
140 - 2023-02-23923Monarchs-Spiders-
142 - 2023-02-25941Phantoms-Spiders-
146 - 2023-03-01971Spiders-Monsters-
148 - 2023-03-03988Spiders-Las Vegas-
150 - 2023-03-051004Spiders-Jayhawks-
152 - 2023-03-071015Marlies-Spiders-
154 - 2023-03-091029Spiders-Bears-
156 - 2023-03-111044Spiders-Rocket-
157 - 2023-03-121056Caroline-Spiders-
159 - 2023-03-141065Thunder-Spiders-
161 - 2023-03-161083Thunder-Spiders-
163 - 2023-03-181100Spiders-Cabaret Lady Mary Ann-
164 - 2023-03-191113Spiders-Thunder-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211123Minnesota-Spiders-
169 - 2023-03-241148Spiders-Crunch-
170 - 2023-03-251160Senators-Spiders-
172 - 2023-03-271172Spiders-Sound Tigers-
175 - 2023-03-301191Wolf Pack-Spiders-
177 - 2023-04-011211Spiders-Baby Hawks-
178 - 2023-04-021222Spiders-Oceanics-
180 - 2023-04-041233Manchots-Spiders-
182 - 2023-04-061243Monsters-Spiders-
184 - 2023-04-081265Spiders-Bruins-
187 - 2023-04-111285Crunch-Spiders-
189 - 2023-04-131301Spiders-Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3518
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,694,055$ 1,694,055$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,916$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 8,916$ 1,694,040$




Spiders Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Spiders Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Spiders Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Spiders Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Spiders Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA