OTHL - Roadrunners

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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	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Filip Chytil (R)	X	X	X		100.00	63	41	96	82	66	66	82	70	45	63	68	60	25	59	59	68	50	65	0
2	Harry Zolnierczyk		X	X		100.00	71	66	84	68	66	83	89	64	50	64	58	66	55	59	59	65	50	64	0
3	Tanner Fritz	X		X		100.00	75	69	89	69	69	79	84	62	78	62	58	64	55	44	44	64	50	63	0
4	Erik Condra		X	X		100.00	69	66	75	65	66	80	85	65	50	64	60	64	57	52	52	64	50	63	0
5	Tyler Gaudet	X	X			100.00	78	77	80	68	77	72	76	59	74	58	56	65	53	45	45	62	50	61	0
6	Antti Suomela (R)	X				100.00	63	41	94	74	64	59	82	58	74	65	60	55	25	46	46	63	50	60	0
7	Nico Sturm (R)	X				100.00	51	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	50	54	1
8	Matt Hunwick				X	100.00	63	42	90	75	72	69	52	56	25	52	47	69	25	71	72	58	50	63	0
9	Griffin Reinhart				X	100.00	82	80	88	64	80	75	83	48	25	37	41	67	39	55	56	55	50	62	0
10	Brady Keeper (R)				X	100.00	51	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	50	54	1
Rayé
1	Sheldon Dries (R)	X	X			100.00	82	44	81	74	65	54	84	57	60	58	58	72	25	47	47	65	50	62	0

	MOYENNE D'ÉQUIPE					100.00	68	58	81	68	67	68	75	59	54	58	56	63	43	53	54	61	50	61

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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	SP
1	Michael Leighton	100.00	50	53	66	76	48	49	51	55	49	49	30	44	44	51	50	53	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	50	53	66	76	48	49	51	55	49	49	30	44	44	51	50	53

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Phil Housley	61	67	66	96	68	43	67	USA	52	3	750,000$

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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
1	Griffin Reinhart	Roadrunners (ARI)	D	6	0	0	0	-3	15	5	18	6	6	1	4	0.00%	4	59	9.95	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	1	0	0	0
Stats d'équipe Total ou en Moyenne				6	0	0	0	-3	15	5	18	6	6	1	4	0.00%	4	59	9.95	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	1	0	0	0

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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

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#	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
Stats d'équipe Total ou en Moyenne							0.000	0.00	0								0.000

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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	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
Antti Suomela	Roadrunners (ARI)	C	25	1994-03-17	Yes	172 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	925,000$	0$	0$	No	Lien
Brady Keeper	Roadrunners (ARI)	D	23	1996-06-05 11:38:53 AM	Yes	194 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	925,000$	0$	0$	No
Erik Condra	Roadrunners (ARI)	LW/RW	33	1986-08-06	No	183 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	700,000$	0$	0$	No	Lien
Filip Chytil	Roadrunners (ARI)	C/LW/RW	20	1999-09-05	Yes	178 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	1,244,166$	0$	0$	No	Lien
Griffin Reinhart	Roadrunners (ARI)	D	25	1994-01-24	No	212 Lbs	6 ft4	No	No	No	2	Avec Restriction	Pro & Farm	3,213,333$	0$	0$	No	Lien
Harry Zolnierczyk	Roadrunners (ARI)	LW/RW	32	1987-09-01	No	180 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	650,000$	0$	0$	No	Lien
Matt Hunwick	Roadrunners (ARI)	D	34	1985-05-21	No	200 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	2,250,000$	0$	0$	No	Lien
Michael Leighton	Roadrunners (ARI)	G	38	1981-05-19	No	186 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	650,000$	0$	0$	No	Lien
Nico Sturm	Roadrunners (ARI)	C	24	1995-05-03 11:47:14 AM	Yes	207 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	925,000$	0$	0$	No
Sheldon Dries	Roadrunners (ARI)	C/LW	25	1994-04-23	Yes	185 Lbs	5 ft9	No	No	No	1	Avec Restriction	Pro & Farm	625,000$	0$	0$	No	Lien
Tanner Fritz	Roadrunners (ARI)	C/RW	28	1991-08-20	No	192 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	800,000$	0$	0$	No	Lien
Tyler Gaudet	Roadrunners (ARI)	C/LW	26	1993-03-04	No	205 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	650,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
12	27.75	191 Lbs	6 ft1	1.67	1,129,792$

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	Griffin Reinhart		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
Griffin Reinhart, ,	Griffin Reinhart	,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

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

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

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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

	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	Admirals	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	8	12	0	0	6	3	3	0	59	56	51	66	3	23	5	0	19	1	0	0.00%	0	0	0.00%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30
2	Bruins	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	6	3	3	0	14	56	51	66	3	33	12	10	3	2	1	50.00%	3	2	33.33%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30
3	Eagles	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	6	3	3	0	39	56	51	66	3	42	7	7	31	0	0	0.00%	1	1	0.00%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30
4	Gulls	1	0	1	0	0	0	0	0	3	9	-6	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	9	-6	0	0.000	3	6	9	0	0	6	3	3	0	20	56	51	66	3	64	15	4	22	2	0	0.00%	2	1	50.00%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30
5	Moose	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	6	3	3	0	26	56	51	66	3	23	10	0	17	5	0	0.00%	0	0	0.00%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30
	Total	6	0	5	0	0	1	0	0	12	34	-22	3	0	2	0	0	1	0	0	6	16	-10	3	0	3	0	0	0	0	0	6	18	-12	1	0.083	12	23	35	0	0	6	3	3	0	176	56	51	66	3	222	62	27	105	12	1	8.33%	9	5	44.44%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30
7	Wolves	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	6	3	3	0	18	56	51	66	3	37	13	6	13	2	0	0.00%	3	1	66.67%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30
	_Since Last GM Reset	6	0	5	0	0	1	0	0	12	34	-22	3	0	2	0	0	1	0	0	6	16	-10	3	0	3	0	0	0	0	0	6	18	-12	1	0.083	12	23	35	0	0	6	3	3	0	176	56	51	66	3	222	62	27	105	12	1	8.33%	9	5	44.44%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30
	_Vs Conference	5	0	4	0	0	1	0	0	11	28	-17	2	0	1	0	0	1	0	0	5	10	-5	3	0	3	0	0	0	0	0	6	18	-12	1	0.100	11	22	33	0	0	6	3	3	0	162	56	51	66	3	189	50	17	102	10	0	0.00%	6	3	50.00%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30

			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
6	1	OTL1	12	23	35	176	222	62	27	105	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	0	5	0	1	0	0	12	34

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	2	0	1	0	0	6	16

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	6	18

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	5	0	1	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
12	1	8.33%	9	5	44.44%	0

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
56	51	66	3	6	3	3	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
68	158	43.04%	74	154	48.05%	31	93	33.33%

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
112	75	179	43	69	30

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	OT	Lien
2 - 2019-10-05	5	Roadrunners	3	Gulls	9	L		Sommaire du Match
4 - 2019-10-07	19	Bruins	6	Roadrunners	1	L		Sommaire du Match
9 - 2019-10-12	47	Wolves	5	Roadrunners	1	L		Sommaire du Match
11 - 2019-10-14	64	Roadrunners	2	Eagles	4	L		Sommaire du Match
14 - 2019-10-17	91	Roadrunners	1	Moose	5	L		Sommaire du Match
16 - 2019-10-19	98	Admirals	5	Roadrunners	4	L	X	Sommaire du Match
18 - 2019-10-21	113	Senators	-	Roadrunners	-
21 - 2019-10-24	141	Roadrunners	-	Wolf Pack	-
23 - 2019-10-26	152	Roadrunners	-	Sound Tigers	-
24 - 2019-10-27	156	Roadrunners	-	Devils	-
27 - 2019-10-30	177	Roadrunners	-	Americans	-
29 - 2019-11-01	188	Rocket	-	Roadrunners	-
32 - 2019-11-04	204	Eagles	-	Roadrunners	-
34 - 2019-11-06	222	Roadrunners	-	Condors	-
35 - 2019-11-07	226	Roadrunners	-	Heat	-
37 - 2019-11-09	237	Monsters	-	Roadrunners	-
39 - 2019-11-11	252	Wild	-	Roadrunners	-
41 - 2019-11-13	271	Roadrunners	-	Bears	-
42 - 2019-11-14	278	Roadrunners	-	Rampage	-
44 - 2019-11-16	291	Roadrunners	-	Wild	-
46 - 2019-11-18	299	Heat	-	Roadrunners	-
48 - 2019-11-20	316	Reign	-	Roadrunners	-
51 - 2019-11-23	333	Marlies	-	Roadrunners	-
53 - 2019-11-25	352	Roadrunners	-	Reign	-
54 - 2019-11-26	362	Condors	-	Roadrunners	-
57 - 2019-11-29	377	Gulls	-	Roadrunners	-
59 - 2019-12-01	401	Roadrunners	-	Wolves	-
60 - 2019-12-02	403	Barracudas	-	Roadrunners	-
63 - 2019-12-05	425	Roadrunners	-	Monsters	-
65 - 2019-12-07	445	Roadrunners	-	Phantoms	-
66 - 2019-12-08	451	Roadrunners	-	Penguins	-
68 - 2019-12-10	463	Roadrunners	-	IceHogs	-
70 - 2019-12-12	472	Heat	-	Roadrunners	-
72 - 2019-12-14	488	IceHogs	-	Roadrunners	-
74 - 2019-12-16	502	Devils	-	Roadrunners	-
77 - 2019-12-19	529	Roadrunners	-	Barracudas	-
79 - 2019-12-21	538	Wild	-	Roadrunners	-
82 - 2019-12-24	566	Roadrunners	-	Griffins	-
83 - 2019-12-25	573	Roadrunners	-	Admirals	-
88 - 2019-12-30	601	Roadrunners	-	Wolves	-
89 - 2019-12-31	603	Stars	-	Roadrunners	-
91 - 2020-01-02	613	Rampage	-	Roadrunners	-
93 - 2020-01-04	627	Gulls	-	Roadrunners	-
95 - 2020-01-06	641	Phantoms	-	Roadrunners	-
98 - 2020-01-09	667	Roadrunners	-	Thunderbirds	-
100 - 2020-01-11	687	Roadrunners	-	Crunch	-
101 - 2020-01-12	689	Roadrunners	-	Checkers	-
103 - 2020-01-14	703	Penguins	-	Roadrunners	-
105 - 2020-01-16	714	Barracudas	-	Roadrunners	-
107 - 2020-01-18	738	Roadrunners	-	Comets	-
109 - 2020-01-20	746	Roadrunners	-	Condors	-
120 - 2020-01-31	776	Roadrunners	-	Gulls	-
121 - 2020-02-01	782	Reign	-	Roadrunners	-
123 - 2020-02-03	792	IceHogs	-	Roadrunners	-
126 - 2020-02-06	812	Condors	-	Roadrunners	-
128 - 2020-02-08	827	Checkers	-	Roadrunners	-
130 - 2020-02-10	843	Roadrunners	-	Bruins	-
132 - 2020-02-12	861	Roadrunners	-	Rocket	-
133 - 2020-02-13	875	Roadrunners	-	Marlies	-
135 - 2020-02-15	887	Roadrunners	-	Senators	-
137 - 2020-02-17	895	Bears	-	Roadrunners	-
139 - 2020-02-19	915	Sound Tigers	-	Roadrunners	-
141 - 2020-02-21	930	Roadrunners	-	Stars	-
142 - 2020-02-22	937	Roadrunners	-	Rampage	-
144 - 2020-02-24	948	Crunch	-	Roadrunners	-
147 - 2020-02-27	969	Thunderbirds	-	Roadrunners	-
151 - 2020-03-02	999	Americans	-	Roadrunners	-
155 - 2020-03-06	1031	Roadrunners	-	Comets	-
157 - 2020-03-08	1044	Roadrunners	-	Heat	-
160 - 2020-03-11	1069	Roadrunners	-	Moose	-
163 - 2020-03-14	1083	Comets	-	Roadrunners	-
165 - 2020-03-16	1098	Wolf Pack	-	Roadrunners	-
167 - 2020-03-18	1118	Stars	-	Roadrunners	-
169 - 2020-03-20	1133	Wolves	-	Roadrunners	-
171 - 2020-03-22	1147	Griffins	-	Roadrunners	-
173 - 2020-03-24	1167	Roadrunners	-	Reign	-
176 - 2020-03-27	1190	Roadrunners	-	Wolves	-
179 - 2020-03-30	1205	Admirals	-	Roadrunners	-
180 - 2020-03-31	1221	Roadrunners	-	Barracudas	-
182 - 2020-04-02	1231	Roadrunners	-	Eagles	-
184 - 2020-04-04	1242	Comets	-	Roadrunners	-
186 - 2020-04-06	1257	Moose	-	Roadrunners	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	0
Assistance	4,522	2,232
Assistance PCT	75.37%	74.40%

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	2251 - 75.04%	52,757$	158,270$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
216,915$	1,355,750$	1,345,750$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
7,289$	148,371$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
2,004,753$	169	11,321$	1,913,249$

Afficher ou Masquer des Colonnes

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	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
2019	6	0	5	0	0	1	0	0	12	34	-22	3	0	2	0	0	1	0	0	6	16	-10	3	0	3	0	0	0	0	0	6	18	-12	1	12	23	35	0	0	6	3	3	0	176	56	51	66	3	222	62	27	105	12	1	8.33%	9	5	44.44%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30
Total Saison Régulière	6	0	5	0	0	1	0	0	12	34	-22	3	0	2	0	0	1	0	0	6	16	-10	3	0	3	0	0	0	0	0	6	18	-12	1	12	23	35	0	0	6	3	3	0	176	56	51	66	3	222	62	27	105	12	1	8.33%	9	5	44.44%	0	68	158	43.04%	74	154	48.05%	31	93	33.33%	112	75	179	43	69	30