LHSM - Diabotins

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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	Âge	Contrat	Salaire
1	Riley Barber (R)	0			X		100.00	78	73	78	66	70	75	77	58	50	42	42	66	61	45	45	0	50	65	0	26	2	715,000$
2	Tyson Jost	0	X	X	X		100.00	72	42	90	85	69	63	90	66	42	50	47	61	25	61	62	0	50	64	0	22	1	1,673,333$
3	Ryan Donato	0	X				100.00	70	61	94	83	67	60	85	66	41	50	49	62	80	58	59	0	50	64	0	24	1	1,900,000$
4	Miles Wood	0		X			100.00	80	50	71	92	74	64	83	62	25	49	48	62	25	62	63	0	50	64	0	25	1	2,750,000$
5	Tyler Graovac	0	X		X		100.00	83	77	90	72	81	64	61	52	65	38	38	70	54	51	51	0	50	63	0	27	1	650,000$
6	Eric Robinson	0		X			100.00	81	45	91	62	75	57	78	64	35	48	47	59	25	51	51	0	50	61	0	25	1	874,125$
7	Lias Andersson	0	X				100.00	78	43	87	78	70	55	71	56	50	47	45	70	25	51	51	0	50	61	0	21	1	1,744,166$
8	Jonathan Davidsson (R)	0			X		100.00	74	67	89	76	67	52	53	50	50	37	37	61	46	44	44	0	50	56	0	23	2	850,000$
9	Ethan Bear	0				X	100.00	75	61	84	85	71	79	79	63	25	41	38	75	25	59	59	0	50	63	0	23	2	798,333$
10	Victor Mete	0				X	100.00	62	41	91	81	65	70	82	58	25	41	39	65	25	60	60	0	50	60	0	22	2	870,000$
11	Ben Harpur	0				X	100.00	81	71	71	65	85	65	64	59	25	35	34	68	37	59	59	0	50	58	0	25	1	725,000$
12	Oliver Kylington	0				X	100.00	68	42	90	79	67	61	71	61	25	41	38	63	25	55	55	0	50	58	0	23	1	863,333$
13	Christian Jaros	0				X	100.00	78	43	86	63	76	58	72	54	25	43	38	59	25	54	54	0	50	56	0	24	1	801,667$
14	Jake Dotchin	0				X	100.00	77	71	49	65	79	57	59	53	30	34	33	69	38	56	56	0	50	54	0	26	1	800,000$
15	Daniel Brickley	0				X	100.00	80	77	86	56	77	50	52	46	25	30	30	63	37	44	44	0	50	49	0	25	1	700,000$
Rayé

	MOYENNE D'ÉQUIPE					100.00	76	58	83	74	73	62	72	58	36	42	40	65	37	54	54	0	50	60

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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	Eric Comrie	100.00	58	65	84	65	62	62	56	61	56	55	30	44	44	0	50	61	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	58	65	84	65	62	62	56	61	56	55	30	44	44	0	50	61

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	FO%	FOT	GA	TA	HT	P/20	S1	S2	S3
1	Ryan Donato	Diabotins (HEL)	C	9	8	9	17	-10	2	7	9	33	16	22	24.24%	1	157	17.48	5	3	8	12	35	0	0	0	0	9	0	31.79%	151	39	2	1	2.16	1	1	1
2	Matthew Nieto	Diabotins (HEL)	LW/RW	9	4	12	16	-11	0	5	20	25	10	18	16.00%	9	210	23.41	2	5	7	11	35	0	0	0	0	36	1	32.76%	58	35	16	1	1.52	1	0	0
3	Miles Wood	Diabotins (HEL)	LW	9	6	6	12	-9	10	32	10	34	15	36	17.65%	7	180	20.10	0	2	2	3	30	1	0	1	1	10	1	42.86%	7	54	5	0	1.33	0	1	0
4	Ethan Bear	Diabotins (HEL)	D	9	2	8	10	-17	4	11	24	23	4	19	8.70%	27	237	26.36	1	3	4	6	39	0	1	1	2	29	0	0.00%	0	4	15	0	0.84	0	0	0
5	Tyson Jost	Diabotins (HEL)	C/LW/RW	9	6	4	10	-10	4	8	6	26	12	24	23.08%	2	165	18.43	1	1	2	5	30	0	0	0	0	0	0	39.57%	139	19	3	0	1.21	0	0	1
6	Riley Barber	Diabotins (HEL)	RW	9	4	3	7	-12	2	11	10	18	4	13	22.22%	9	214	23.80	0	1	1	3	35	0	0	0	0	38	0	46.15%	13	3	10	1	0.65	0	0	1
7	Eric Robinson	Diabotins (HEL)	LW	9	4	0	4	-15	0	8	7	26	9	26	15.38%	6	148	16.46	0	0	0	0	0	0	0	0	0	10	0	33.33%	9	14	6	0	0.54	0	0	0
8	Ben Harpur	Diabotins (HEL)	D	9	0	3	3	-15	12	7	10	12	4	6	0.00%	7	183	20.34	0	2	2	0	26	0	0	0	0	15	0	0.00%	0	4	12	0	0.33	0	0	0
9	Oliver Kylington	Diabotins (HEL)	D	9	1	2	3	-16	4	3	9	12	6	3	8.33%	10	238	26.53	1	0	1	4	39	0	0	0	0	31	0	0.00%	0	3	18	0	0.25	0	0	0
10	Tyler Graovac	Diabotins (HEL)	C/RW	9	0	3	3	-9	2	9	12	7	2	12	0.00%	5	164	18.24	0	0	0	1	30	0	0	0	0	0	0	40.00%	5	0	7	0	0.37	0	0	0
11	Jake Dotchin	Diabotins (HEL)	D	9	0	2	2	-4	22	9	9	6	4	3	0.00%	8	114	12.67	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	3	0	0.35	0	0	0
12	Victor Mete	Diabotins (HEL)	D	5	1	0	1	-1	2	3	6	12	4	3	8.33%	6	116	23.28	1	0	1	2	12	0	0	0	1	16	0	0.00%	0	4	10	0	0.17	0	0	0
13	Christian Jaros	Diabotins (HEL)	D	9	0	1	1	-16	6	11	9	10	2	5	0.00%	17	188	20.96	0	0	0	1	26	0	0	0	2	20	0	0.00%	0	0	11	0	0.11	0	0	0
14	Daniel Brickley	Diabotins (HEL)	D	9	0	0	0	-5	0	8	4	3	0	4	0.00%	11	122	13.64	0	0	0	0	0	0	0	0	0	11	0	0.00%	0	1	8	0	0.00	0	0	0
15	Jonathan Davidsson	Diabotins (HEL)	RW	9	0	0	0	-15	8	11	8	17	3	13	0.00%	6	133	14.79	0	0	0	0	0	0	0	0	0	0	0	40.00%	5	17	2	0	0.00	0	0	0
16	Lias Andersson	Diabotins (HEL)	C	9	0	0	0	-3	2	6	1	7	2	6	0.00%	1	35	3.91	0	0	0	0	0	0	0	0	0	0	0	36.36%	11	5	0	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				140	36	53	89	-168	80	149	154	271	97	213	13.28%	132	2610	18.65	11	17	28	48	343	1	1	2	6	231	2	35.68%	398	202	128	3	0.68	2	2	3

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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
1	Eric Comrie	Diabotins (HEL)	9	2	7	0	0.804	6.57	493	0	0	54	276	160	2	0	0.000	0	9	0	0	0	0
Stats d'équipe Total ou en Moyenne			9	2	7	0	0.804	6.57	493	0	0	54	276	160	2	0	0.000	0	9	0	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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Link
Ben Harpur	Diabotins (HEL)	D	25	1995-01-12	No	222 Lbs	198 CM	No	No	No	1	Pro & Farm	725,000$	650,940$	0$	0$	No		Lien
Christian Jaros	Diabotins (HEL)	D	24	1996-04-02	No	201 Lbs	191 CM	No	No	No	1	Pro & Farm	801,667$	719,776$	0$	0$	No		Lien
Daniel Brickley	Diabotins (HEL)	D	25	1995-03-30	No	205 Lbs	191 CM	No	No	No	1	Pro & Farm	700,000$	628,494$	0$	0$	No		Lien
Eric Comrie	Diabotins (HEL)	G	25	1995-07-05	No	175 Lbs	185 CM	No	No	No	1	Pro & Farm	650,000$	583,602$	0$	0$	No		Lien
Eric Robinson	Diabotins (HEL)	LW	25	1995-06-14	No	201 Lbs	188 CM	No	No	No	1	Pro & Farm	874,125$	784,832$	0$	0$	No		Lien
Ethan Bear	Diabotins (HEL)	D	23	1997-06-26	No	198 Lbs	180 CM	No	No	No	2	Pro & Farm	798,333$	716,782$	0$	0$	No	798,333$	Lien
Jake Dotchin	Diabotins (HEL)	D	26	1994-03-24	No	210 Lbs	191 CM	No	No	No	1	Pro & Farm	800,000$	718,279$	0$	0$	No		Lien / Lien NHL
Jonathan Davidsson	Diabotins (HEL)	RW	23	1997-03-12	Yes	185 Lbs	180 CM	No	No	No	2	Pro & Farm	850,000$	763,172$	0$	0$	No	850,000$	Lien
Lias Andersson	Diabotins (HEL)	C	21	1998-10-13	No	198 Lbs	180 CM	No	No	No	1	Pro & Farm	1,744,166$	1,565,998$	0$	0$	No		Lien
Miles Wood	Diabotins (HEL)	LW	25	1995-09-13	No	195 Lbs	188 CM	No	No	No	1	Pro & Farm	2,750,000$	2,469,086$	0$	0$	No		Lien / Lien NHL
Oliver Kylington	Diabotins (HEL)	D	23	1997-05-19	No	183 Lbs	183 CM	No	No	No	1	Pro & Farm	863,333$	775,143$	0$	0$	No		Lien
Riley Barber	Diabotins (HEL)	RW	26	1994-02-07	Yes	193 Lbs	183 CM	No	No	No	2	Pro & Farm	715,000$	641,962$	0$	0$	No	715,000$
Ryan Donato	Diabotins (HEL)	C	24	1996-04-09	No	181 Lbs	183 CM	No	No	No	1	Pro & Farm	1,900,000$	1,705,913$	0$	0$	No		Lien
Tyler Graovac	Diabotins (HEL)	C/RW	27	1993-04-26	No	212 Lbs	196 CM	No	No	No	1	Pro & Farm	650,000$	583,602$	0$	0$	No		Lien / Lien NHL
Tyson Jost	Diabotins (HEL)	C/LW/RW	22	1998-03-14	No	191 Lbs	180 CM	No	No	No	1	Pro & Farm	1,673,333$	1,502,401$	0$	0$	No		Lien / Lien NHL
Victor Mete	Diabotins (HEL)	D	22	1998-06-07	No	184 Lbs	178 CM	No	No	No	2	Pro & Farm	870,000$	781,129$	0$	0$	No	870,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
16	24.13	196 Lbs	185 CM	1.25	1,085,310$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Matthew Nieto	Ryan Donato	Riley Barber	40	1	2	2
2	Miles Wood	Tyson Jost	Tyler Graovac	30	1	2	2
3	Eric Robinson		Jonathan Davidsson	20	1	2	2
4	Matthew Nieto	Lias Andersson	Riley Barber	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ethan Bear	Oliver Kylington	40	1	2	2
2	Ben Harpur	Christian Jaros	30	1	2	2
3	Jake Dotchin	Daniel Brickley	20	1	2	2
4	Ethan Bear	Oliver Kylington	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Matthew Nieto	Ryan Donato	Riley Barber	60	1	2	2
2	Miles Wood	Tyson Jost	Tyler Graovac	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ethan Bear	Oliver Kylington	60	1	2	2
2	Ben Harpur	Christian Jaros	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Matthew Nieto	Riley Barber	60	1	2	2
2	Miles Wood	Ryan Donato	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ethan Bear	Oliver Kylington	60	1	2	2
2	Ben Harpur	Christian Jaros	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Matthew Nieto	60	1	2	2	Ethan Bear	Oliver Kylington	60	1	2	2
2	Riley Barber	40	1	2	2	Ben Harpur	Christian Jaros	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Matthew Nieto	Riley Barber	60	1	2	2
2	Miles Wood	Ryan Donato	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ethan Bear	Oliver Kylington	60	1	2	2
2	Ben Harpur	Christian Jaros	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Matthew Nieto	Ryan Donato	Riley Barber	Ethan Bear	Oliver Kylington

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Matthew Nieto	Ryan Donato	Riley Barber	Ethan Bear	Oliver Kylington

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Lias Andersson, Eric Robinson	, Lias Andersson	Eric Robinson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jake Dotchin, Daniel Brickley, Ben Harpur	Jake Dotchin	Daniel Brickley, Ben Harpur

Tirs de Pénalité
Matthew Nieto, Riley Barber, Miles Wood, Ryan Donato, Tyson Jost

Gardien
#1 : Eric Comrie, #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	0	1	0	0	0	0	0	5	13	-8	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	13	-8	0	0.000	5	6	11	0	0	12	11	12	0	34	88	84	98	0	36	14	6	13	2	1	50.00%	3	3	0.00%	1	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
2	Caribou	1	1	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	10	7	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	15	25	0	0	12	11	12	0	30	88	84	98	0	34	12	8	14	7	3	42.86%	3	3	0.00%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
3	Casse-Tete	1	0	1	0	0	0	0	0	1	8	-7	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	12	11	12	0	28	88	84	98	0	26	15	10	17	6	1	16.67%	5	1	80.00%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
4	Jardiniers	1	0	1	0	0	0	0	0	1	12	-11	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	12	-11	0	0.000	1	2	3	0	0	12	11	12	0	30	88	84	98	0	38	11	6	14	5	1	20.00%	3	2	33.33%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
5	Leftovers	1	1	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	10	3	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	17	27	0	0	12	11	12	0	37	88	84	98	0	29	20	8	17	6	3	50.00%	4	2	50.00%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
6	Pirates	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	2	3	0	0	12	11	12	0	24	88	84	98	0	33	16	4	20	3	0	0.00%	2	0	100.00%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
7	Requins	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	4	7	0	0	12	11	12	0	31	88	84	98	0	24	22	12	17	5	1	20.00%	6	1	83.33%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
	Total	9	2	7	0	0	0	0	0	35	79	-44	3	2	1	0	0	0	0	0	21	16	5	6	0	6	0	0	0	0	0	14	63	-49	4	0.222	35	53	88	0	0	12	11	12	0	270	88	84	98	0	301	129	80	152	43	10	23.26%	39	18	53.85%	1	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
8	Vagabond	1	0	1	0	0	0	0	0	3	13	-10	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	13	-10	0	0.000	3	3	6	0	0	12	11	12	0	22	88	84	98	0	45	8	16	19	5	0	0.00%	8	4	50.00%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
9	Werewolves	1	0	1	0	0	0	0	0	1	12	-11	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	12	-11	0	0.000	1	2	3	0	0	12	11	12	0	34	88	84	98	0	36	11	10	21	4	0	0.00%	5	2	60.00%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
	_Since Last GM Reset	9	2	7	0	0	0	0	0	35	79	-44	3	2	1	0	0	0	0	0	21	16	5	6	0	6	0	0	0	0	0	14	63	-49	4	0.222	35	53	88	0	0	12	11	12	0	270	88	84	98	0	301	129	80	152	43	10	23.26%	39	18	53.85%	1	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
	_Vs Conference	5	1	4	0	0	0	0	0	18	39	-21	2	1	1	0	0	0	0	0	11	9	2	3	0	3	0	0	0	0	0	7	30	-23	2	0.200	18	28	46	0	0	12	11	12	0	144	88	84	98	0	169	77	46	87	24	5	20.83%	23	9	60.87%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
	_Vs Division	3	0	3	0	0	0	0	0	5	19	-14	1	0	1	0	0	0	0	0	1	6	-5	2	0	2	0	0	0	0	0	4	13	-9	0	0.000	5	8	13	0	0	12	11	12	0	83	88	84	98	0	83	53	26	54	14	2	14.29%	13	2	84.62%	0	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65

			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
9	4	L2	35	53	88	270	301	129	80	152	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	2	7	0	0	0	0	35	79

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	21	16

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	0	6	0	0	0	0	14	63

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	7	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
43	10	23.26%	39	18	53.85%	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
88	84	98	0	12	11	12	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
50	164	30.49%	49	145	33.79%	62	173	35.84%

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
188	117	214	76	137	65

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
2 - 2020-10-13	8	Diabotins	5	Barracuda	13	L	Sommaire du Match
3 - 2020-10-14	10	Diabotins	1	Werewolves	12	L	Sommaire du Match
6 - 2020-10-17	23	Diabotins	1	Jardiniers	12	L	Sommaire du Match
11 - 2020-10-22	39	Diabotins	3	Requins	5	L	Sommaire du Match
12 - 2020-10-23	41	Diabotins	1	Casse-Tete	8	L	Sommaire du Match
14 - 2020-10-25	47	Leftovers	3	Diabotins	10	W	Sommaire du Match
15 - 2020-10-26	50	Caribou	7	Diabotins	10	W	Sommaire du Match
17 - 2020-10-28	58	Diabotins	3	Vagabond	13	L	Sommaire du Match
19 - 2020-10-30	65	Pirates	6	Diabotins	1	L	Sommaire du Match
20 - 2020-10-31	66	Hooligans	-	Diabotins	-
24 - 2020-11-04	81	Diabotins	-	Royaux	-
25 - 2020-11-05	85	Hybrides	-	Diabotins	-
29 - 2020-11-09	98	Diabotins	-	Chevalier	-
30 - 2020-11-10	103	Benchwarmers	-	Diabotins	-
33 - 2020-11-13	113	Barracuda	-	Diabotins	-
34 - 2020-11-14	115	Werewolves	-	Diabotins	-
37 - 2020-11-17	128	Jardiniers	-	Diabotins	-
42 - 2020-11-22	144	Requins	-	Diabotins	-
43 - 2020-11-23	146	Casse-Tete	-	Diabotins	-
45 - 2020-11-25	152	Diabotins	-	Leftovers	-
46 - 2020-11-26	155	Diabotins	-	Caribou	-
48 - 2020-11-28	163	Vagabond	-	Diabotins	-
50 - 2020-11-30	170	Diabotins	-	Pirates	-
51 - 2020-12-01	171	Diabotins	-	Hooligans	-
55 - 2020-12-05	186	Royaux	-	Diabotins	-
56 - 2020-12-06	190	Diabotins	-	Hybrides	-
60 - 2020-12-10	203	Chevalier	-	Diabotins	-
61 - 2020-12-11	208	Diabotins	-	Benchwarmers	-
64 - 2020-12-14	218	Diabotins	-	Barracuda	-
65 - 2020-12-15	220	Diabotins	-	Werewolves	-
68 - 2020-12-18	233	Diabotins	-	Jardiniers	-
73 - 2020-12-23	249	Diabotins	-	Requins	-
74 - 2020-12-24	251	Diabotins	-	Casse-Tete	-
76 - 2020-12-26	257	Leftovers	-	Diabotins	-
77 - 2020-12-27	260	Caribou	-	Diabotins	-
79 - 2020-12-29	268	Diabotins	-	Vagabond	-
81 - 2020-12-31	275	Pirates	-	Diabotins	-
82 - 2021-01-01	276	Hooligans	-	Diabotins	-
86 - 2021-01-05	291	Diabotins	-	Royaux	-
87 - 2021-01-06	295	Hybrides	-	Diabotins	-
91 - 2021-01-10	308	Diabotins	-	Chevalier	-
92 - 2021-01-11	313	Benchwarmers	-	Diabotins	-
95 - 2021-01-14	323	Barracuda	-	Diabotins	-
96 - 2021-01-15	325	Werewolves	-	Diabotins	-
99 - 2021-01-18	338	Jardiniers	-	Diabotins	-
104 - 2021-01-23	354	Requins	-	Diabotins	-
105 - 2021-01-24	356	Casse-Tete	-	Diabotins	-
107 - 2021-01-26	362	Diabotins	-	Leftovers	-
108 - 2021-01-27	365	Diabotins	-	Caribou	-
110 - 2021-01-29	373	Vagabond	-	Diabotins	-
112 - 2021-01-31	380	Diabotins	-	Pirates	-
113 - 2021-02-01	381	Diabotins	-	Hooligans	-
117 - 2021-02-05	396	Royaux	-	Diabotins	-
118 - 2021-02-06	400	Diabotins	-	Hybrides	-
122 - 2021-02-10	413	Chevalier	-	Diabotins	-
123 - 2021-02-11	418	Diabotins	-	Benchwarmers	-
126 - 2021-02-14	428	Diabotins	-	Barracuda	-
127 - 2021-02-15	430	Diabotins	-	Werewolves	-
130 - 2021-02-18	443	Diabotins	-	Jardiniers	-
135 - 2021-02-23	459	Diabotins	-	Requins	-
136 - 2021-02-24	461	Diabotins	-	Casse-Tete	-
138 - 2021-02-26	467	Leftovers	-	Diabotins	-
139 - 2021-02-27	470	Caribou	-	Diabotins	-
141 - 2021-03-01	478	Diabotins	-	Vagabond	-
143 - 2021-03-03	485	Pirates	-	Diabotins	-
144 - 2021-03-04	486	Hooligans	-	Diabotins	-
148 - 2021-03-08	501	Diabotins	-	Royaux	-
149 - 2021-03-09	505	Hybrides	-	Diabotins	-
153 - 2021-03-13	518	Diabotins	-	Chevalier	-
154 - 2021-03-14	523	Benchwarmers	-	Diabotins	-
157 - 2021-03-17	533	Barracuda	-	Diabotins	-
158 - 2021-03-18	535	Werewolves	-	Diabotins	-
161 - 2021-03-21	548	Jardiniers	-	Diabotins	-
166 - 2021-03-26	564	Requins	-	Diabotins	-
167 - 2021-03-27	566	Casse-Tete	-	Diabotins	-
169 - 2021-03-29	572	Diabotins	-	Leftovers	-
170 - 2021-03-30	575	Diabotins	-	Caribou	-
172 - 2021-04-01	583	Vagabond	-	Diabotins	-
174 - 2021-04-03	590	Diabotins	-	Pirates	-
175 - 2021-04-04	591	Diabotins	-	Hooligans	-
179 - 2021-04-08	606	Royaux	-	Diabotins	-
180 - 2021-04-09	610	Diabotins	-	Hybrides	-
184 - 2021-04-13	623	Chevalier	-	Diabotins	-
185 - 2021-04-14	628	Diabotins	-	Benchwarmers	-

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
39	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
199,146$	1,933,996$	1,877,414$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
10,398$	199,146$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	167	10,398$	1,736,466$

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
Saison Régulière
2016	83	45	22	0	7	3	2	4	439	191	248	41	28	7	0	2	1	1	2	251	85	166	42	17	15	0	5	2	1	2	188	106	82	115	439	768	1207	0	4	0	138	133	159	2577	0	822	880	845	2191	810	929	1828	273	62	22.71%	318	55	82.70%	14	1019	1639	62.17%	965	1567	61.58%	774	1206	64.18%	2065	1363	1699	658	1263	654
2016	83	18	41	0	6	2	5	11	238	309	-71	41	11	14	0	4	2	4	6	147	139	8	42	7	27	0	2	0	1	5	91	170	-79	71	238	358	596	1	1	0	82	70	75	2051	0	687	625	678	2828	1041	257	1553	260	49	18.85%	127	17	86.61%	2	505	1346	37.52%	498	1630	30.55%	371	1103	33.64%	1608	1000	2244	655	1228	583
2017	84	24	39	0	7	3	6	5	304	245	59	42	16	14	0	5	3	1	3	169	104	65	42	8	25	0	2	0	5	2	135	141	-6	82	304	530	834	2	3	0	112	101	78	2562	0	826	851	831	2312	757	714	1881	281	44	15.66%	348	67	80.75%	14	1029	1729	59.51%	997	1598	62.39%	701	1125	62.31%	2049	1337	1776	671	1298	660
2017	84	16	52	0	5	5	0	6	136	447	-311	42	9	22	0	4	4	0	3	77	232	-155	42	7	30	0	1	1	0	3	59	215	-156	53	136	242	378	2	4	0	32	48	51	1805	0	555	582	635	2485	933	516	1474	282	42	14.89%	262	40	84.73%	7	698	1366	51.10%	820	1580	51.90%	526	1172	44.88%	1702	985	2001	721	1391	691
2018	82	39	30	0	5	3	1	4	399	222	177	41	24	8	0	2	3	1	3	214	100	114	41	15	22	0	3	0	0	1	185	122	63	97	399	713	1112	1	2	0	159	126	108	2914	0	1069	936	887	2830	1013	814	1653	292	70	23.97%	396	71	82.07%	19	959	1786	53.70%	1046	1954	53.53%	627	1172	53.50%	1898	1224	1817	659	1238	627
2018	82	18	51	0	3	3	2	5	305	322	-17	41	10	23	0	1	2	1	4	164	150	14	41	8	28	0	2	1	1	1	141	172	-31	54	305	523	828	2	4	0	77	119	104	2352	0	773	753	790	3198	1129	465	1493	288	61	21.18%	226	54	76.11%	8	758	1515	50.03%	855	1852	46.17%	631	1232	51.22%	1651	1015	2069	674	1248	606
2019	84	11	54	0	4	2	4	9	130	255	-125	42	8	22	0	3	2	2	5	78	106	-28	42	3	32	0	1	0	2	4	52	149	-97	49	130	216	346	3	1	0	27	38	57	1966	0	551	667	712	3186	1139	406	1548	257	39	15.18%	204	48	76.47%	6	606	1399	43.32%	791	1995	39.65%	412	939	43.88%	1585	918	2219	690	1310	655
2020	9	2	7	0	0	0	0	0	35	79	-44	3	2	1	0	0	0	0	0	21	16	5	6	0	6	0	0	0	0	0	14	63	-49	4	35	53	88	0	0	12	11	12	0	270	88	84	98	0	301	129	80	152	43	10	23.26%	39	18	53.85%	1	50	164	30.49%	49	145	33.79%	62	173	35.84%	188	117	214	76	137	65
Total Saison Régulière	591	173	296	0	37	21	20	44	1986	2070	-84	293	108	111	0	21	17	10	26	1121	932	189	298	65	185	0	16	4	10	18	865	1138	-273	525	1986	3403	5389	11	19	12	638	647	632	16497	88	5367	5392	5378	19331	6951	4181	11582	1976	377	19.08%	1920	370	80.73%	71	5624	10944	51.39%	6021	12321	48.87%	4104	8122	50.53%	12751	7962	14043	4807	9116	4544
Séries
2016	9	5	4	0	0	0	0	0	19	18	1	5	3	2	0	0	0	0	0	10	10	0	4	2	2	0	0	0	0	0	9	8	1	10	19	32	51	0	0	0	9	3	6	293	0	113	70	106	247	94	114	193	23	2	8.70%	43	7	83.72%	2	121	186	65.05%	135	193	69.95%	75	102	73.53%	245	171	177	67	125	65
2016	4	0	4	0	0	0	0	0	3	22	-19	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	0	15	-15	0	3	3	6	0	0	0	0	3	0	77	0	29	21	23	169	58	14	64	10	2	20.00%	7	4	42.86%	0	16	64	25.00%	25	104	24.04%	9	49	18.37%	67	39	128	32	57	25
Total Séries	13	5	8	0	0	0	0	0	22	40	-18	7	3	4	0	0	0	0	0	13	17	-4	6	2	4	0	0	0	0	0	9	23	-14	10	22	35	57	0	0	0	9	6	6	370	0	142	91	129	416	152	128	257	33	4	12.12%	50	11	78.00%	2	137	250	54.80%	160	297	53.87%	84	151	55.63%	313	210	306	99	183	90