PIFFPACK - Reigh

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	C	L	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Andrew Copp	X			100.00	73	35	93	66	79	71	82	65	74	67	66	80	64	69	67	59	52	70	0
2	Blake Comeau		X		100.00	91	40	78	64	77	80	90	63	57	62	61	76	60	82	75	43	52	70	0
3	Calle Jarnkrok	X			100.00	63	36	91	65	70	79	92	64	73	67	63	77	66	75	69	64	52	70	0
4	Matt Nieto		X		100.00	65	36	91	65	70	75	77	64	54	72	58	84	61	73	68	61	52	70	0
5	Noel Acciari	X			100.00	94	57	74	62	71	73	85	61	74	60	59	77	58	75	70	36	48	69	0
6	Sammy Blais		X		100.00	80	40	78	66	81	72	62	64	59	63	62	61	56	65	63	56	52	69	0
7	Brandon Manning			X	100.00	82	57	74	63	78	77	52	62	30	60	59	68	61	77	69	36	52	68	0
Rayé

	MOYENNE D'ÉQUIPE				100.00	78	43	83	64	75	75	77	63	60	64	61	75	61	74	69	51	51	69

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any 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
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
Dominique Ducharme	73	72	70	68	69	64	79	CAN	46	2	650,000$

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	Nom de l'Équipe	POS	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

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Andrew Copp	Reigh (LA.)	C	23	1994-07-08	No	206 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	2,280,000$	0$	0$	No	Lien
Blake Comeau	Reigh (LA.)	LW	31	1986-02-18	No	200 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	1,465,500$	0$	0$	No	Lien
Brandon Manning	Reigh (LA.)	D	27	1990-06-04	No	205 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	2,250,000$	0$	0$	No	Lien
Calle Jarnkrok	Reigh (LA.)	C	26	1991-09-25	No	186 Lbs	5 ft11	No	No	No	3	Contrat d'Entrée	Pro & Farm	2,000,000$	0$	0$	No	Lien
Matt Nieto	Reigh (LA.)	LW	24	1992-11-05	No	190 Lbs	5 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,975,000$	0$	0$	No	Lien
Noel Acciari	Reigh (LA.)	C	25	1991-12-01	No	205 Lbs	5 ft10	No	No	No	3	Contrat d'Entrée	Pro & Farm	750,000$	0$	0$	No	Lien
Sammy Blais	Reigh (LA.)	LW	21	1996-06-17	No	205 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	850,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
7	25.29	200 Lbs	6 ft0	1.86	1,652,929$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

	Ligue												Domicile											Visiteur
#	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	Barracuda	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	2	15	8	0	16	34	60	43	0	16	5	6	19	2	1	50.00%	3	2	33.33%	0	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
2	Blacknight	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	1	9	-8	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	2	15	8	0	21	34	60	43	0	36	9	18	13	4	0	0.00%	9	4	55.56%	0	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
3	Condors	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	1	2	0	0	2	15	8	0	26	34	60	43	0	22	5	0	7	4	1	25.00%	0	0	0.00%	0	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
4	Gulls	2	0	2	0	0	0	0	0	9	16	-7	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	9	16	-7	0	0.000	9	18	27	0	0	2	15	8	0	37	34	60	43	0	43	13	28	27	7	3	42.86%	14	7	50.00%	1	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
5	Heat	1	0	1	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	3	9	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	2	15	8	0	17	34	60	43	0	46	24	20	16	5	2	40.00%	9	5	44.44%	0	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
6	Icedogs	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	8	13	0	0	2	15	8	0	20	34	60	43	0	24	7	2	8	2	1	50.00%	1	0	100.00%	0	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
	Total	7	2	5	0	0	0	0	0	25	42	-17	3	1	2	0	0	0	0	0	10	21	-11	4	1	3	0	0	0	0	0	15	21	-6	4	0.286	25	45	70	0	0	2	15	8	0	137	34	60	43	0	187	63	74	90	24	8	33.33%	36	18	50.00%	1	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
	_Since Last GM Reset	7	2	5	0	0	0	0	0	25	42	-17	3	1	2	0	0	0	0	0	10	21	-11	4	1	3	0	0	0	0	0	15	21	-6	4	0.286	25	45	70	0	0	2	15	8	0	137	34	60	43	0	187	63	74	90	24	8	33.33%	36	18	50.00%	1	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
	_Vs Conference	7	2	5	0	0	0	0	0	25	42	-17	3	1	2	0	0	0	0	0	10	21	-11	4	1	3	0	0	0	0	0	15	21	-6	4	0.286	25	45	70	0	0	2	15	8	0	137	34	60	43	0	187	63	74	90	24	8	33.33%	36	18	50.00%	1	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
	_Vs Division	6	1	5	0	0	0	0	0	20	39	-19	3	1	2	0	0	0	0	0	10	21	-11	3	0	3	0	0	0	0	0	10	18	-8	2	0.167	20	37	57	0	0	2	15	8	0	117	34	60	43	0	163	56	72	82	22	7	31.82%	35	18	48.57%	1	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
7	4	L1	25	45	70	137	187	63	74	90	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	5	0	0	0	0	25	42

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	10	21

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	15	21

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	5	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
24	8	33.33%	36	18	50.00%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
34	60	43	0	2	15	8	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
43	88	48.86%	36	104	34.62%	90	167	53.89%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
143	81	157	61	118	59

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	Lien
3 - 2019-10-06	12	Barracuda	3	Reigh	6	W	Sommaire du Match
4 - 2019-10-07	18	Reigh	4	Gulls	5	L	Sommaire du Match
7 - 2019-10-10	36	Blacknight	9	Reigh	1	L	Sommaire du Match
10 - 2019-10-13	52	Heat	9	Reigh	3	L	Sommaire du Match
12 - 2019-10-15	61	Reigh	1	Condors	2	L	Sommaire du Match
13 - 2019-10-16	68	Reigh	5	Icedogs	3	W	Sommaire du Match
15 - 2019-10-18	80	Reigh	5	Gulls	11	L	Sommaire du Match
17 - 2019-10-20	91	Gulls	-	Reigh	-
19 - 2019-10-22	105	Condors	-	Reigh	-
20 - 2019-10-23	114	Reigh	-	Barracuda	-
23 - 2019-10-26	124	Reigh	-	Blacknight	-
25 - 2019-10-28	138	Penguins	-	Reigh	-
27 - 2019-10-30	153	Condors	-	Reigh	-
30 - 2019-11-02	164	Reigh	-	Heat	-
33 - 2019-11-05	179	Icedogs	-	Reigh	-
35 - 2019-11-07	190	Reigh	-	Rampages	-
37 - 2019-11-09	200	Reigh	-	Admirals	-
39 - 2019-11-11	208	Thunderbird	-	Reigh	-
41 - 2019-11-13	224	Bruins	-	Reigh	-
46 - 2019-11-18	245	Admirals	-	Reigh	-
48 - 2019-11-20	259	Reigh	-	Gulls	-
50 - 2019-11-22	268	Devils	-	Reigh	-
52 - 2019-11-24	282	Reigh	-	Senateurs	-
54 - 2019-11-26	291	Reigh	-	Crunch	-
56 - 2019-11-28	299	Moose	-	Reigh	-
58 - 2019-11-30	315	Reigh	-	Moose	-
60 - 2019-12-02	324	Icedogs	-	Reigh	-
62 - 2019-12-04	332	Reigh	-	Heat	-
64 - 2019-12-06	343	Reigh	-	Bruins	-
65 - 2019-12-07	353	Phantoms	-	Reigh	-
68 - 2019-12-10	366	Reigh	-	Moose	-
70 - 2019-12-12	375	Blacknight	-	Reigh	-
73 - 2019-12-15	391	Monsters	-	Reigh	-
75 - 2019-12-17	404	Reigh	-	Phantoms	-
77 - 2019-12-19	408	Reigh	-	Wolves	-
79 - 2019-12-21	419	Blacknight	-	Reigh	-
81 - 2019-12-23	433	Reigh	-	Thunderbird	-
82 - 2019-12-24	443	Wolves	-	Reigh	-
84 - 2019-12-26	457	Reigh	-	Bears	-
86 - 2019-12-28	468	Heat	-	Reigh	-
89 - 2019-12-31	485	Reigh	-	Marlies	-
92 - 2020-01-03	496	Sound Tigers	-	Reigh	-
95 - 2020-01-06	512	Reigh	-	Icedogs	-
97 - 2020-01-08	519	Admirals	-	Reigh	-
99 - 2020-01-10	532	Reigh	-	Rampages	-
101 - 2020-01-12	539	Gulls	-	Reigh	-
103 - 2020-01-14	546	Reigh	-	Condors	-
105 - 2020-01-16	560	Reigh	-	Barracuda	-
106 - 2020-01-17	568	Rocket	-	Reigh	-
109 - 2020-01-20	584	Reigh	-	Condors	-
111 - 2020-01-22	593	Rampages	-	Reigh	-
113 - 2020-01-24	605	Reigh	-	Blacknight	-
117 - 2020-01-28	618	Condors	-	Reigh	-
120 - 2020-01-31	635	Gulls	-	Reigh	-
121 - 2020-02-01	645	Reigh	-	Heat	-
124 - 2020-02-04	660	Wolves	-	Reigh	-
125 - 2020-02-05	669	Reigh	-	Sound Tigers	-
127 - 2020-02-07	678	Reigh	-	Blacknight	-
130 - 2020-02-10	692	Penguins	-	Reigh	-
132 - 2020-02-12	705	Reigh	-	Penguins	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14	716	Moose	-	Reigh	-
136 - 2020-02-16	729	Reigh	-	Barracuda	-
138 - 2020-02-18	737	Reigh	-	Gulls	-
139 - 2020-02-19	742	Barracuda	-	Reigh	-
143 - 2020-02-23	756	Reigh	-	Senateurs	-
144 - 2020-02-24	765	Stars	-	Reigh	-
148 - 2020-02-28	786	Crunch	-	Reigh	-
152 - 2020-03-03	806	Reigh	-	Devils	-
153 - 2020-03-04	812	Rampages	-	Reigh	-
156 - 2020-03-07	823	Reigh	-	Stars	-
157 - 2020-03-08	830	Reigh	-	Admirals	-
159 - 2020-03-10	839	Stars	-	Reigh	-
161 - 2020-03-12	850	Reigh	-	Stars	-
164 - 2020-03-15	859	Reigh	-	Monsters	-
165 - 2020-03-16	864	Barracuda	-	Reigh	-
168 - 2020-03-19	879	Reigh	-	Wolves	-
169 - 2020-03-20	887	Senateurs	-	Reigh	-
173 - 2020-03-24	910	Bears	-	Reigh	-
177 - 2020-03-28	931	Heat	-	Reigh	-
181 - 2020-04-01	950	Bears	-	Reigh	-
184 - 2020-04-04	961	Reigh	-	Rocket	-
189 - 2020-04-09	975	Marlies	-	Reigh	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
38	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
142,386$	1,157,050$	1,157,050$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	91,340$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	176	9,461$	1,665,136$

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
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
3	7	2	5	0	0	0	0	0	25	42	-17	3	1	2	0	0	0	0	0	10	21	-11	4	1	3	0	0	0	0	0	15	21	-6	4	25	45	70	0	0	2	15	8	0	137	34	60	43	0	187	63	74	90	24	8	33.33%	36	18	50.00%	1	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
Total Saison Régulière	7	2	5	0	0	0	0	0	25	42	-17	3	1	2	0	0	0	0	0	10	21	-11	4	1	3	0	0	0	0	0	15	21	-6	4	25	45	70	0	0	2	15	8	0	137	34	60	43	0	187	63	74	90	24	8	33.33%	36	18	50.00%	1	43	88	48.86%	36	104	34.62%	90	167	53.89%	143	81	157	61	118	59
Séries
2	4	0	4	0	0	0	0	0	10	31	-21	2	0	2	0	0	0	0	0	5	15	-10	2	0	2	0	0	0	0	0	5	16	-11	0	10	17	27	0	0	2	5	3	0	110	33	36	41	0	144	49	72	44	14	4	28.57%	31	16	48.39%	0	16	75	21.33%	20	90	22.22%	32	86	37.21%	73	43	94	44	72	25
Total Séries	4	0	4	0	0	0	0	0	10	31	-21	2	0	2	0	0	0	0	0	5	15	-10	2	0	2	0	0	0	0	0	5	16	-11	0	10	17	27	0	0	2	5	3	0	110	33	36	41	0	144	49	72	44	14	4	28.57%	31	16	48.39%	0	16	75	21.33%	20	90	22.22%	32	86	37.21%	73	43	94	44	72	25