Icedogs

GP: 29 | W: 12 | L: 17 | OTL: 0 | P: 24
GF: 135 | GA: 173 | PP%: 34.40% | PK%: 41.32%
DG: Stéphane Chabot | Morale : 48 | Moyenne d'Équipe : 67
Prochain matchs #357 vs Phantoms
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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 SP
1Brett ConnollyXX100.006843777476798870685466787363578457700
2Pavel ZachaXX100.006642777981828974746060676655538856680
3Chris WagnerXXX100.009543767271819865785057706757595057670
4Jakob Forsbacka Karlsson (R)X100.005742736071588759675860606050507457610
5Matt IrwinX100.007441836475747072305053746661563453680
Rayé
MOYENNE D'ÉQUIPE100.00724277707575866863545970665755665667
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul MacLean89697083968081fra591529,000$


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'ÉquipePOS GP 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
1Pavel ZachaIcedogs (CHI)C/LW29181230-11351918147448512.24%1241014.1500000000102057.58%33409011.4611001414
2Matt IrwinIcedogs (CHI)D2921820-72410121611561491.74%2542614.721011000001000.00%0221000.9400011321
Stats d'équipe Total ou en Moyenne58203050-8371531342621051347.63%3783714.4310110000122057.58%334230011.1911012735
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Brett ConnollyIcedogs (CHI)LW/RW251992-05-02No195 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm1,500,000$0$0$NoLien
Chris WagnerIcedogs (CHI)C/LW/RW261991-05-27No198 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm1,250,000$0$0$No1,250,000$Lien
Jakob Forsbacka KarlssonIcedogs (CHI)C201996-10-31Yes184 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Matt IrwinIcedogs (CHI)D291987-11-29No207 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm750,000$0$0$No750,000$Lien
Pavel ZachaIcedogs (CHI)C/LW201997-04-06No210 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm894,166$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
524.00199 Lbs6 ft21.401,028,833$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Pavel Zacha30122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Matt Irwin30122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Pavel Zacha40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Irwin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Pavel Zacha40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Irwin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
240122Matt Irwin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Pavel Zacha40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Irwin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Pavel Zacha, , Pavel Zacha,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Irwin, , Matt Irwin,
Tirs de Pénalité
, , , Pavel Zacha,
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
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
Total2991702010135173-381568010007090-201439010106583-18240.414135249384002160514845252274308159873412683861254334.40%1217141.32%420246943.07%19047939.67%26163241.30%634395641263473222
_Since Last GM Reset2991702010135173-381568010007090-201439010106583-18240.414135249384002160514845252274308159873412683861254334.40%1217141.32%420246943.07%19047939.67%26163241.30%634395641263473222
_Vs Conference2251402010102139-371137010005270-181127010105069-19160.36410218829000216051463825227430815780275215280963132.29%975741.24%320246943.07%19047939.67%26163241.30%634395641263473222
_Vs Division193130201084129-451027010004768-21916010103761-24120.3168415523900216051454525227430815723249203242832631.33%915539.56%220246943.07%19047939.67%26163241.30%634395641263473222

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2924L213524938484598734126838600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
299172010135173
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
156810007090
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
143910106583
Derniers 10 Matchs
WLOTWOTL SOWSOL
451000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1254334.40%1217141.32%4
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
252274308152160514
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
20246943.07%19047939.67%26163241.30%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
634395641263473222


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
2 - 2018-10-104Moose7Icedogs8WXSommaire du Match
7 - 2018-10-1525Admirals7Icedogs1LSommaire du Match
15 - 2018-10-2349Stars6Icedogs3LSommaire du Match
19 - 2018-10-2765Icedogs2Rampages4LSommaire du Match
20 - 2018-10-2872Icedogs3Admirals7LSommaire du Match
21 - 2018-10-2978Rampages10Icedogs4LSommaire du Match
25 - 2018-11-0293Icedogs8Crunch5WSommaire du Match
26 - 2018-11-03100Moose6Icedogs5LSommaire du Match
28 - 2018-11-05112Icedogs2Stars8LSommaire du Match
31 - 2018-11-08125Wolves2Icedogs4WSommaire du Match
32 - 2018-11-09135Icedogs5Moose8LSommaire du Match
36 - 2018-11-13149Wolves5Icedogs6WSommaire du Match
39 - 2018-11-16164Icedogs7Wolves6WXXSommaire du Match
41 - 2018-11-18173Gulls2Icedogs5WSommaire du Match
44 - 2018-11-21186Icedogs11Barracuda4WSommaire du Match
47 - 2018-11-24194Icedogs2Heat4LSommaire du Match
49 - 2018-11-26204Moose8Icedogs5LSommaire du Match
53 - 2018-11-30219Icedogs5Sound Tigers6LSommaire du Match
55 - 2018-12-02227Stars11Icedogs6LSommaire du Match
60 - 2018-12-07247Devils10Icedogs1LSommaire du Match
63 - 2018-12-10255Icedogs4Moose7LSommaire du Match
67 - 2018-12-14269Penguins5Icedogs8WSommaire du Match
70 - 2018-12-17284Icedogs5Moose4WXSommaire du Match
72 - 2018-12-19294Icedogs2Admirals12LSommaire du Match
74 - 2018-12-21300Phantoms2Icedogs3WSommaire du Match
77 - 2018-12-24318Rocket3Icedogs6WSommaire du Match
79 - 2018-12-26322Icedogs7Admirals5WSommaire du Match
82 - 2018-12-29341Icedogs2Bruins3LSommaire du Match
84 - 2018-12-31348Stars6Icedogs5LSommaire du Match
86 - 2019-01-02357Icedogs-Phantoms-
89 - 2019-01-05371Admirals-Icedogs-
92 - 2019-01-08389Icedogs-Marlies-
94 - 2019-01-10396Admirals-Icedogs-
96 - 2019-01-12405Icedogs-Rampages-
99 - 2019-01-15418Barracuda-Icedogs-
103 - 2019-01-19432Icedogs-Devils-
105 - 2019-01-21439Icedogs-Monsters-
106 - 2019-01-22446Rampages-Icedogs-
110 - 2019-01-26464Blacknight-Icedogs-
112 - 2019-01-28472Icedogs-Wolves-
116 - 2019-02-01487Icedogs-Stars-
118 - 2019-02-03494Sound Tigers-Icedogs-
120 - 2019-02-05505Icedogs-Crunch-
122 - 2019-02-07512Icedogs-Gulls-
125 - 2019-02-10520Icedogs-Rocket-
127 - 2019-02-12525Condors-Icedogs-
129 - 2019-02-14539Icedogs-Senateurs-
131 - 2019-02-16547Bears-Icedogs-
133 - 2019-02-18561Icedogs-Reigh-
135 - 2019-02-20570Icedogs-Wolves-
137 - 2019-02-22575Gulls-Icedogs-
139 - 2019-02-24586Icedogs-Reigh-
142 - 2019-02-27599Senateurs-Icedogs-
147 - 2019-03-04620Marlies-Icedogs-
149 - 2019-03-06632Icedogs-Gulls-
151 - 2019-03-08642Icedogs-Bears-
152 - 2019-03-09647Thunderbird-Icedogs-
155 - 2019-03-12665Icedogs-Penguins-
156 - 2019-03-13670Crunch-Icedogs-
162 - 2019-03-19693Heat-Icedogs-
165 - 2019-03-22708Icedogs-Barracuda-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25717Wolves-Icedogs-
170 - 2019-03-27726Icedogs-Stars-
172 - 2019-03-29737Icedogs-Blacknight-
175 - 2019-04-01743Bruins-Icedogs-
181 - 2019-04-07762Icedogs-Blacknight-
182 - 2019-04-08768Condors-Icedogs-
187 - 2019-04-13789Rampages-Icedogs-
191 - 2019-04-17806Icedogs-Condors-
192 - 2019-04-18813Reigh-Icedogs-
197 - 2019-04-23829Icedogs-Condors-
199 - 2019-04-25836Moose-Icedogs-
200 - 2019-04-26843Icedogs-Heat-
204 - 2019-04-30860Heat-Icedogs-
206 - 2019-05-02869Icedogs-Crunch-
211 - 2019-05-07886Blacknight-Icedogs-
215 - 2019-05-11906Barracuda-Icedogs-
217 - 2019-05-13911Icedogs-Rampages-
220 - 2019-05-16930Reigh-Icedogs-
222 - 2019-05-18937Icedogs-Thunderbird-
228 - 2019-05-24955Monsters-Icedogs-
235 - 2019-05-31978Monsters-Icedogs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
369,852$ 514,417$ 514,417$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 182,364$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 4,403$ 673,659$




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
22991702010135173-381568010007090-201439010106583-1824135249384002160514845252274308159873412683861254334.40%1217141.32%420246943.07%19047939.67%26163241.30%634395641263473222
Total Saison Régulière2991702010135173-381568010007090-201439010106583-1824135249384002160514845252274308159873412683861254334.40%1217141.32%420246943.07%19047939.67%26163241.30%634395641263473222