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Abbotsford
GP: 71 | W: 26 | L: 38 | OTL: 7 | P: 59
GF: 209 | GA: 262 | PP%: 15.36% | PK%: 78.33%
DG: Maxime Montanaro | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #883 vs Rockford

Centre de jeu
Abbotsford
26-38-7, 59pts
1
2 Syracuse
29-32-8, 66pts
Team Stats
W1SéquenceL1
14-19-2Fiche domicile13-19-3
12-19-5Fiche domicile16-13-5
5-4-1Derniers 10 matchs4-5-1
2.94Buts par match 2.87
3.69Buts contre par match 3.48
15.36%Pourcentage en avantage numérique18.56%
78.33%Pourcentage en désavantage numérique81.25%
Grand Rapids
33-33-4, 70pts
1
3 Abbotsford
26-38-7, 59pts
Team Stats
L1SéquenceW1
18-14-3Fiche domicile14-19-2
15-19-1Fiche domicile12-19-5
3-6-1Derniers 10 matchs5-4-1
3.16Buts par match 2.94
3.43Buts contre par match 3.69
21.33%Pourcentage en avantage numérique15.36%
83.71%Pourcentage en désavantage numérique78.33%
Abbotsford
26-38-7, 59pts
Jour 163
Rockford
39-25-6, 84pts
Statistiques d’équipe
W1SéquenceL1
14-19-2Fiche domicile22-10-3
12-19-5Fiche visiteur17-15-3
5-4-110 derniers matchs7-2-1
2.94Buts par match 2.83
3.69Buts contre par match 2.83
15.36%Pourcentage en avantage numérique17.86%
78.33%Pourcentage en désavantage numérique81.69%
Abbotsford
26-38-7, 59pts
Jour 164
Springfield
36-28-6, 78pts
Statistiques d’équipe
W1SéquenceL7
14-19-2Fiche domicile17-15-3
12-19-5Fiche visiteur19-13-3
5-4-110 derniers matchs2-8-0
2.94Buts par match 3.30
3.69Buts contre par match 3.30
15.36%Pourcentage en avantage numérique20.29%
78.33%Pourcentage en désavantage numérique81.73%
Ontario
47-19-3, 97pts
Jour 166
Abbotsford
26-38-7, 59pts
Statistiques d’équipe
W1SéquenceW1
23-12-0Fiche domicile14-19-2
24-7-3Fiche visiteur12-19-5
7-3-010 derniers matchs5-4-1
3.86Buts par match 2.94
2.81Buts contre par match 2.94
24.82%Pourcentage en avantage numérique15.36%
82.76%Pourcentage en désavantage numérique78.33%
Meneurs d'équipe
Buts
Cody Eakin
27
Passes
John Moore
46
Points
John Moore
58
Plus/Moins
Matt Hunwick
10
Victoires
Scott Darling
17
Pourcentage d’arrêts
Scott Darling
0.915

Statistiques d’équipe
Buts pour
209
2.94 GFG
Tirs pour
2495
35.14 Avg
Pourcentage en avantage numérique
15.4%
45 GF
Début de zone offensive
41.1%
Buts contre
262
3.69 GAA
Tirs contre
2588
36.45 Avg
Pourcentage en désavantage numérique
78.3%%
57 GA
Début de la zone défensive
41.6%
Informations de l'équipe

Directeur généralMaxime Montanaro
EntraîneurMike Sullivan
DivisionPacifique
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,193
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 50
Espoirs38


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
1Tomas NosekXX100.00692795658670896773666870836660405000312900,000$
2Oscar MollerXX100.00622597667577806669656868749381165000352989,000$
3Nick FolignoX100.00824180688469856766667066768685165000361800,000$
4Maxime TalbotXXX100.0062329333635569635363657481999995000401800,000$
5Artem AnisimovXXX100.00673294518072916861687173847773225000362900,000$
6Josh ArchibaldXX100.00732694777478856470636567756864345000313550,000$
7Cody EakinXX100.00672995667782966979667167786964285000333950,000$
8Loui ErikssonXX100.00623292507475967068687170799189215000381970,000$
9Nick ShoreX100.00662989737977946784676764766359355000313575,000$
10Nicolas KerdilesX100.00632790698769796776646357795546345000301600,000$
11Vladimir SobotkaXX100.0078367045675684667065677073989375000363550,000$
12Jordan OesterleX100.00703075707589895150505189736358395000323975,000$
13Cameron GaunceX100.00784443599269894750464888697669185000342975,000$
14Matt HunwickX100.00612279497267815050454587758783145000381875,000$
15John MooreX99.00624391818479855550554985606857425000333850,000$
16Casey NelsonX100.00693279708076855250484687706563365000313500,000$
17Jeff SchultzX100.00573183358261884232414389719886175000383975,000$
Rayé
MOYENNE D’ÉQUIPE99.9468328560787286616259607575787225500
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
1Scott Darling98.0056938387779089858480767272505000353750,000$
Rayé
1Jonathan Quick98.0055939182708180848475849291355000383750,000$
MOYENNE D’ÉQUIPE98.005693878574868585847880828243500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan77778862969968USA571725,000$


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
# 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
1John MooreAbbotsford (VAN)D71124658-111603392196541296.12%139168323.717101711223700021991175.00%400000.6903000322
2Jakub VoracekVancouverLW/RW66212849-1318079631987316110.61%7115917.576915462080111452053.23%18600000.8511000330
3Cody EakinAbbotsford (VAN)C/LW71271946128046971967013213.78%6106915.06000210002214051.14%65700010.8600000552
4Josh BaileyVancouverC/RW51132841-124024114209621606.22%17103720.35613196620101181574251.10%154600000.7904000301
5Vladimir SobotkaAbbotsford (VAN)LW/RW71142438-12461015851170511358.24%8113616.0135855207000001051.35%11100000.6700011022
6Casey NelsonAbbotsford (VAN)D71132437-415557968209561306.22%135150121.1586141382491011191000%100000.4901100021
7Oscar MollerAbbotsford (VAN)LW/RW711323365801973175571357.43%9107515.150005180001241147.37%19000000.6701000011
8Nick FolignoAbbotsford (VAN)C61162036-56210130841364313411.76%7103116.920115390001382146.70%112200000.7011011313
9Cameron GaunceAbbotsford (VAN)D5852530-5110101544411027424.55%93133523.0311011561910110129200%100100.4512101021
10Loui ErikssonAbbotsford (VAN)LW/RW47131528-480840143371229.09%1084517.98235371340000492149.43%17600000.6600000111
11Josh ArchibaldAbbotsford (VAN)LW/RW71121224-83405454117278710.26%1072110.16000010000142048.72%7800000.6700000111
12Nick ShoreAbbotsford (VAN)C60101424-35260447193307110.75%1776612.7700000000001256.20%53200000.6300000011
13Artem AnisimovAbbotsford (VAN)C/LW/RW39716231100317411232846.25%1581520.922462613500021030143.25%80000000.5602000010
14Jordan OesterleAbbotsford (VAN)D3521820-318037509019482.22%6677622.18055401090000920166.67%300000.5200000011
15Matt HunwickAbbotsford (VAN)D71415191048065485413547.41%88113315.971017220001620050.00%200000.3400000102
16Brandon DuhaimeVancouverLW/RW217815-720064327720779.09%144921.3941517640113481143.75%4800100.6700000103
17Jeff SchultzAbbotsford (VAN)D7131215-449548365919435.08%102115516.28112937000054000%100000.2600100001
18Tomas NosekAbbotsford (VAN)LW/RW455712-104022155217459.62%1448510.78011390000100042.86%2800000.4901000001
19Maxime TalbotAbbotsford (VAN)C/LW/RW45257-2022101131349195.88%1045910.220002120000161037.68%28400000.3001011002
20Nicolas KerdilesAbbotsford (VAN)LW17336-34015162972310.34%225915.2600000000000159.38%6400000.4600000101
Statistiques d’équipe totales ou en moyenne1113202362564-1765905011211153245972318318.21%7561889816.9841691106261882145221260241248.85%583400210.60317334222327
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
1Scott DarlingAbbotsford (VAN)33171320.9153.011914219611230130.83363125310
2Jonathan QuickAbbotsford (VAN)3491850.9073.3919314110911730010.727113339350
Statistiques d’équipe totales ou en moyenne67263170.9113.203845622052296014176464660


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Artem AnisimovAbbotsford (VAN)C/LW/RW361988-05-24RUSNo203 Lbs6 ft3NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm900,000$152,308$0$0$No900,000$--------900,000$--------No--------Lien
Cameron GaunceAbbotsford (VAN)D341990-03-19CANNo206 Lbs6 ft2NoNoTrade2024-10-08NoNo22024-09-24FalseFalsePro & Farm975,000$165,000$0$0$No975,000$--------975,000$--------No--------Lien
Casey NelsonAbbotsford (VAN)D311992-07-18USANo189 Lbs6 ft1NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm500,000$84,615$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Cody EakinAbbotsford (VAN)C/LW331991-05-24CANNo202 Lbs6 ft0NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm950,000$160,769$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Jeff SchultzAbbotsford (VAN)D381986-02-25CANNo245 Lbs6 ft6NoNoFree AgentNoNo32025-09-27FalseFalsePro & Farm975,000$165,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
John MooreAbbotsford (VAN)D331990-11-19USANo208 Lbs6 ft3NoNoFree Agent2025-08-13NoNo32025-09-27FalseFalsePro & Farm850,000$143,846$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Jonathan QuickAbbotsford (VAN)G381986-01-22USANo227 Lbs6 ft1NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm750,000$126,923$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien NHL
Jordan OesterleAbbotsford (VAN)D321992-06-25USANo186 Lbs6 ft0NoNoFree Agent2025-08-13NoNo32025-09-27FalseFalsePro & Farm975,000$165,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Josh ArchibaldAbbotsford (VAN)LW/RW311992-10-06CANNo178 Lbs5 ft10NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm550,000$93,077$0$0$No550,000$550,000$-------550,000$550,000$-------NoNo-------Lien
Loui ErikssonAbbotsford (VAN)LW/RW381985-07-17SWENo186 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm970,000$164,154$0$0$No---------------------------Lien
Matt HunwickAbbotsford (VAN)D381985-08-05USANo203 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm875,000$148,077$0$0$No---------------------------Lien
Maxime TalbotAbbotsford (VAN)C/LW/RW401984-02-11CANNo196 Lbs5 ft11NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm800,000$135,385$0$0$No---------------------------Lien
Nick FolignoAbbotsford (VAN)C361987-10-31USANo211 Lbs6 ft0NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm800,000$135,385$0$0$No---------------------------Lien / Lien NHL
Nick ShoreAbbotsford (VAN)C311992-09-26USANo207 Lbs6 ft1NoNoFree AgentNoNo32025-10-08FalseFalsePro & Farm575,000$97,308$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------Lien
Nicolas KerdilesAbbotsford (VAN)LW301994-01-11USANo196 Lbs6 ft2NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm600,000$101,538$0$0$No---------------------------Lien
Oscar MollerAbbotsford (VAN)LW/RW351989-01-22SWENo195 Lbs5 ft11NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm989,000$167,369$0$0$No989,000$--------989,000$--------No--------
Scott DarlingAbbotsford (VAN)G351988-12-22USANo241 Lbs6 ft6NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm750,000$126,923$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Tomas NosekAbbotsford (VAN)LW/RW311992-09-01CZENo214 Lbs6 ft3NoNoFree AgentNoNo22024-10-02FalseFalsePro & Farm900,000$152,308$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Vladimir SobotkaAbbotsford (VAN)LW/RW361987-07-02CZENo208 Lbs5 ft11NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm550,000$93,077$0$0$No550,000$550,000$-------550,000$550,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1934.53205 Lbs6 ft12.26801,789$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
2Loui ErikssonVladimir Sobotka30122
3Oscar MollerCody EakinJosh Archibald25122
4Nick Shore10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John Moore35122
2Casey NelsonJordan Oesterle30122
3Matt HunwickJeff Schultz25122
4John Moore10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
2Loui ErikssonVladimir Sobotka50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John Moore50122
2Casey NelsonJordan Oesterle50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John Moore50122
2Casey NelsonJordan Oesterle50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122John Moore50122
250122Casey NelsonJordan Oesterle50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1John Moore50122
2Casey NelsonJordan Oesterle50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John Moore
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John Moore
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oscar Moller, Cody Eakin, Josh ArchibaldOscar Moller, Cody EakinJosh Archibald
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Hunwick, Jeff Schultz, Casey NelsonMatt HunwickJeff Schultz, Casey Nelson
Tirs de pénalité
, , , , Loui Eriksson
Gardien
#1 : , #2 : Scott Darling
Lignes d’attaque personnalisées en prolongation
, , , , Loui Eriksson, Vladimir Sobotka, Oscar Moller, Cody Eakin, Josh Archibald, Nick Shore
Lignes de défense personnalisées en prolongation
, John Moore, Casey Nelson, Jordan Oesterle, Matt Hunwick


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
1Bakersfield411001011011-1211000005412000010157-240.5001015250075685981487668178824715847346323521.74%16381.25%01213273944.29%1240276944.78%563115148.91%159910501749563952468
2Bridgeport2010100056-1100010003211010000024-220.5005813007568598567668178824784171836400.00%9277.78%01213273944.29%1240276944.78%563115148.91%159910501749563952468
3Charlotte1010000025-3000000000001010000025-300.0002460075685983776681788247441019165120.00%7185.71%01213273944.29%1240276944.78%563115148.91%159910501749563952468
4Cleveland200010101082100010006511000001043141.00010182800756859883766817882477719253212216.67%10370.00%11213273944.29%1240276944.78%563115148.91%159910501749563952468
5Coachella Valley514000001324-1120200000513-831200000811-320.2001323360075685981577668178824717762518312216.67%23482.61%01213273944.29%1240276944.78%563115148.91%159910501749563952468
6Eagles413000001323-1020200000516-112110000087120.2501325380075685981587668178824715742297019210.53%12191.67%01213273944.29%1240276944.78%563115148.91%159910501749563952468
7Grand Rapids412010001213-131200000810-21000100043140.5001223350075685981587668178824715230394523417.39%16381.25%01213273944.29%1240276944.78%563115148.91%159910501749563952468
8Hartford220000001055110000005231100000053241.000101929007568598617668178824774212641300.00%12466.67%01213273944.29%1240276944.78%563115148.91%159910501749563952468
9Hershey21100000642110000004041010000024-220.50061117117568598657668178824759251231600.00%5180.00%01213273944.29%1240276944.78%563115148.91%159910501749563952468
10Iowa52201000171522010100078-132100000107360.6001727441175685981737668178824716154516620525.00%22290.91%01213273944.29%1240276944.78%563115148.91%159910501749563952468
11Laval311010009811010000012-12100100086240.667917260075685981007668178824711529205611327.27%10370.00%11213273944.29%1240276944.78%563115148.91%159910501749563952468
12Lehigh Valley2020000047-31010000013-21010000034-100.000481200756859862766817882479422184112216.67%8187.50%01213273944.29%1240276944.78%563115148.91%159910501749563952468
13Manitoba403000011018-82020000038-520100001710-310.125101828007568598122766817882471244728671915.26%13469.23%01213273944.29%1240276944.78%563115148.91%159910501749563952468
14Ontario20200000213-110000000000020200000213-1100.000235007568598567668178824788281841800.00%9455.56%01213273944.29%1240276944.78%563115148.91%159910501749563952468
15Providence2010010026-41000010012-11010000014-310.2502350075685987476681788247732318358112.50%8275.00%01213273944.29%1240276944.78%563115148.91%159910501749563952468
16Rochester2110000056-1110000003211010000024-220.5005914007568598747668178824751171140800.00%30100.00%01213273944.29%1240276944.78%563115148.91%159910501749563952468
17Rockford32100000642321000006420000000000040.66761117007568598128766817882478721145517211.76%6183.33%01213273944.29%1240276944.78%563115148.91%159910501749563952468
18San Diego504000011324-1130300000613-720100001711-410.1001322350075685981487668178824720764516617317.65%22768.18%01213273944.29%1240276944.78%563115148.91%159910501749563952468
19San Jose403000011119-82010000169-320200000510-510.1251120312075685981817668178824716346327822313.64%11190.91%01213273944.29%1240276944.78%563115148.91%159910501749563952468
20Springfield11000000725000000000001100000072521.00071118007568598427668178824740108165120.00%4175.00%01213273944.29%1240276944.78%563115148.91%159910501749563952468
21Syracuse311001001011-1110000006512010010046-230.500101727007568598100766817882471043932337114.29%14471.43%01213273944.29%1240276944.78%563115148.91%159910501749563952468
22Texas40300010519-1430200010512-71010000007-720.25058130075685981237668178824715740206015213.33%10280.00%01213273944.29%1240276944.78%563115148.91%159910501749563952468
23Utica 330000002261611000000835220000001431161.00022396100756859813376681788247872410409444.44%5180.00%01213273944.29%1240276944.78%563115148.91%159910501749563952468
24Wilkes-Barre/Scranton21100000550110000003121010000024-220.50058130075685985676681788247553216298112.50%8275.00%01213273944.29%1240276944.78%563115148.91%159910501749563952468
Total71193805324209262-533510190311197124-273691902213112138-26590.415209367576427568598249576681788247258876960011402934515.36%2635778.33%21213273944.29%1240276944.78%563115148.91%159910501749563952468
_Since Last GM Reset71193805324209262-533510190311197124-273691902213112138-26590.415209367576427568598249576681788247258876960011402934515.36%2635778.33%21213273944.29%1240276944.78%563115148.91%159910501749563952468
_Vs Conference4182601114107172-6521315010114887-3920511001035985-26250.30510718329031756859814367668178824715194613366651772614.69%1483079.73%01213273944.29%1240276944.78%563115148.91%159910501749563952468
_Vs Division20214001034991-42917000012239-171117001022752-2580.200498313220756859869076681788247793247186331821315.85%811976.54%01213273944.29%1240276944.78%563115148.91%159910501749563952468

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7159W120936757624952588769600114042
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7119385324209262
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
351019311197124
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
369192213112138
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2934515.36%2635778.33%2
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
766817882477568598
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
1213273944.29%1240276944.78%563115148.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
159910501749563952468


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
314Rockford1Abbotsford2WSommaire du match
522Abbotsford4Iowa2WSommaire du match
936San Diego4Abbotsford3LSommaire du match
1144Abbotsford3Iowa5LSommaire du match
1458Texas4Abbotsford1LSommaire du match
1878Grand Rapids4Abbotsford3LSommaire du match
23102Abbotsford0Coachella Valley3LSommaire du match
24108San Jose3Abbotsford1LSommaire du match
27128Manitoba4Abbotsford2LSommaire du match
29135Abbotsford5Laval4WSommaire du match
31142Abbotsford4Eagles5LSommaire du match
32153Abbotsford3Iowa0WSommaire du match
34161Iowa4Abbotsford5WXSommaire du match
37177Abbotsford3San Jose5LSommaire du match
38187Bakersfield3Abbotsford5WSommaire du match
41201Abbotsford3Manitoba4LXXSommaire du match
43212Bakersfield1Abbotsford0LSommaire du match
46228Bridgeport2Abbotsford3WXSommaire du match
50249Abbotsford3Bakersfield4LXXSommaire du match
52257Coachella Valley6Abbotsford1LSommaire du match
55270Abbotsford2San Jose5LSommaire du match
57282San Diego6Abbotsford2LSommaire du match
61299Abbotsford2Charlotte5LSommaire du match
62309San Jose6Abbotsford5LXXSommaire du match
67330Eagles11Abbotsford2LSommaire du match
69343Abbotsford4Manitoba6LSommaire du match
71353Coachella Valley7Abbotsford4LSommaire du match
72364Abbotsford1Ontario7LSommaire du match
75376Abbotsford3San Diego6LSommaire du match
76383Grand Rapids5Abbotsford2LSommaire du match
78402Texas6Abbotsford1LSommaire du match
81414Abbotsford3Laval2WXSommaire du match
82425Abbotsford1Providence4LSommaire du match
84434Iowa4Abbotsford2LSommaire du match
86451Syracuse5Abbotsford6WSommaire du match
89467Abbotsford5Hartford3WSommaire du match
91477Rockford2Abbotsford1LSommaire du match
93483Abbotsford1Ontario6LSommaire du match
95496Abbotsford5Coachella Valley3WSommaire du match
97505Texas2Abbotsford3WXXSommaire du match
99516Abbotsford4Grand Rapids3WXSommaire du match
102531Hartford2Abbotsford5WSommaire du match
105548Abbotsford2Bakersfield3LXSommaire du match
107559Wilkes-Barre/Scranton1Abbotsford3WSommaire du match
109575Abbotsford4San Diego5LXXSommaire du match
110581Rockford1Abbotsford3WSommaire du match
112596Abbotsford2Rochester4LSommaire du match
114606Providence2Abbotsford1LXSommaire du match
116615Abbotsford2Wilkes-Barre/Scranton4LSommaire du match
118627Abbotsford3Lehigh Valley4LSommaire du match
120637Eagles5Abbotsford3LSommaire du match
122651Abbotsford2Hershey4LSommaire du match
124660Hershey0Abbotsford4WSommaire du match
126670Abbotsford3Coachella Valley5LSommaire du match
127680Abbotsford6Utica 2WSommaire du match
130691San Diego3Abbotsford1LSommaire du match
132703Abbotsford4Cleveland3WXXSommaire du match
134715Cleveland5Abbotsford6WXSommaire du match
136729Abbotsford2Bridgeport4LSommaire du match
138737Abbotsford8Utica 1WSommaire du match
139744Manitoba4Abbotsford1LSommaire du match
142765Rochester2Abbotsford3WSommaire du match
145783Abbotsford4Eagles2WSommaire du match
147788Abbotsford3Syracuse4LSommaire du match
148794Utica 3Abbotsford8WSommaire du match
150807Abbotsford7Springfield2WSommaire du match
152817Lehigh Valley3Abbotsford1LSommaire du match
155836Abbotsford0Texas7LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157845Laval2Abbotsford1LSommaire du match
158854Abbotsford1Syracuse2LXSommaire du match
161869Grand Rapids1Abbotsford3WSommaire du match
163883Abbotsford-Rockford-
164886Abbotsford-Springfield-
166898Ontario-Abbotsford-
171918Laval-Abbotsford-
174937Abbotsford-Texas-
176944Springfield-Abbotsford-
180966Charlotte-Abbotsford-
182972Abbotsford-Iowa-
187990Springfield-Abbotsford-
1911007Ontario-Abbotsford-
1941024Abbotsford-Rockford-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance51,30425,444
Assistance PCT73.29%72.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2193 - 73.09% 128,386$4,493,498$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,984,005$ 1,523,400$ 1,523,400$ 725,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,812$ 1,381,689$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
770,314$ 33 11,530$ 380,490$




Abbotsford Leaders statistiques des joueurs (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

Abbotsford 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

Abbotsford 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

Abbotsford Leaders statistiques des joueurs (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

Abbotsford 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