Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Smirnoff Ice

Smirnoff Ice

GP: 9 | W: 5 | L: 4 | OTL: 0 | P: 10
GF: 33 | GA: 30 | PP%: 40.91% | PK%: 74.19%
DG: Alain Doyon | Morale : 90 | Moyenne d'Équipe : 58
Prochain matchs #136 vs Warriors

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Calgary Red Bull
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Stats d'équipe en Carrière

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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	Nikita Alexandrov (R)	X				98.00	68	45	87	83	56	50	40	55	65	52	59	64	67	82	69	0	90	60	0
2	Nicolas Kerdiles		X			96.00	50	45	95	76	70	50	40	45	30	40	50	55	50	89	76	0	90	54	0
3	Aleksi Saarela (R)		X			98.00	50	45	95	76	62	50	40	45	30	40	50	55	50	86	73	0	90	53	0
4	Lean Bergmann (R)		X			98.00	50	45	95	75	73	50	40	45	30	40	50	55	50	85	72	0	90	53	0
5	J.C. Lipon			X		98.00	50	45	95	76	66	50	40	45	30	40	50	55	50	90	77	0	90	53	0
6	Tanner Richard	X				97.00	50	45	95	77	62	50	40	45	30	40	50	55	50	90	77	0	90	53	0
7	Henri Jokiharju				X	98.00	70	45	81	80	61	88	72	55	30	54	56	69	66	83	78	0	90	67	0
8	Haydn Fleury				X	97.00	69	45	82	74	73	53	40	46	30	43	50	66	50	86	74	0	90	60	0
9	Jacob Larsson				X	100.00	53	45	87	77	61	50	40	45	30	40	50	64	50	85	73	0	90	58	0
10	Scott Perunovich (R)				X	100.00	50	45	95	79	44	50	40	45	30	40	50	55	50	85	72	0	90	55	0
Rayé
1	Keegan Kolesar			X		100.00	99	63	70	76	78	57	89	55	30	51	59	61	66	86	74	0	90	63	0
2	Turner Elson			X		100.00	50	45	95	77	62	50	40	45	30	40	50	55	50	91	78	0	90	53	0

	MOYENNE D'ÉQUIPE					98.33	59	47	89	77	64	54	47	48	33	43	52	59	54	87	74	0	90	57

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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	Anthony Stolarz	99.00	70	53	64	99	70	70	70	70	70	70	70	89	79	0	90	64	0
2	Lukas Dostal (R)	100.00	70	53	84	81	70	70	70	70	70	70	70	82	73	0	90	62	0
Rayé
1	Leevi Merilainen (R)	100.00	70	50	60	82	70	70	70	70	70	70	70	80	67	0	90	61	0

	MOYENNE D'ÉQUIPE	99.67	70	52	69	87	70	70	70	70	70	70	70	84	73	0	90	62

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Benoit Groulx	65	65	65	65	90	75	60	CAN	56	1	800,000$

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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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	FT	S1	S2	S3
1	Nikita Alexandrov	Smirnoff Ice (CAL)	C	8	8	7	15	3	2	0	14	8	34	12	22	23.53%	8	156	19.61	1	2	3	4	11	2	18	1	0	60.19%	206	6	6	1	0	1.91	0	1	2	0
2	Keegan Kolesar	Smirnoff Ice (CAL)	RW	7	1	10	11	-1	25	5	15	7	40	6	23	2.50%	2	135	19.33	0	4	4	2	13	0	13	0	0	34.00%	50	9	2	0	0	1.63	1	0	0	1
3	Nicolas Kerdiles	Smirnoff Ice (CAL)	LW	8	6	3	9	4	0	0	9	8	19	7	8	31.58%	3	158	19.84	3	0	3	4	10	2	13	1	1	18.75%	16	3	8	0	1	1.13	0	2	1	0
4	Henri Jokiharju	Smirnoff Ice (CAL)	D	9	0	8	8	-2	2	0	17	10	27	9	10	0.00%	15	219	24.44	0	3	3	4	19	1	27	0	0	100.00%	1	7	8	0	0	0.73	0	0	0	1
5	J.C. Lipon	Smirnoff Ice (CAL)	RW	9	4	3	7	3	2	0	11	4	23	7	12	17.39%	1	156	17.42	0	1	1	0	6	0	8	0	0	50.00%	6	3	4	0	0	0.89	0	1	0	0
6	Aleksi Saarela	Smirnoff Ice (CAL)	LW	9	2	2	4	3	0	0	7	5	15	4	7	13.33%	5	159	17.75	0	0	0	0	3	0	10	0	0	33.33%	6	1	5	0	0	0.50	0	1	1	0
7	Lean Bergmann	Smirnoff Ice (CAL)	LW	9	2	1	3	-4	0	0	4	9	18	3	22	11.11%	1	149	16.56	1	1	2	3	12	0	1	0	1	83.33%	6	4	2	0	0	0.40	0	0	1	0
8	Isaak Phillips	Calgary Red Bull	D	7	1	2	3	-2	0	0	11	6	15	3	5	6.67%	6	145	20.85	1	1	2	1	12	2	18	0	0	100.00%	1	4	12	0	0	0.41	0	0	0	0
9	Turner Elson	Smirnoff Ice (CAL)	RW	7	3	0	3	-2	2	0	6	4	15	4	6	20.00%	2	130	18.62	2	0	2	2	11	0	13	0	0	31.25%	16	1	2	0	1	0.46	0	0	0	1
10	Tanner Richard	Smirnoff Ice (CAL)	C	9	0	2	2	-4	0	0	11	13	13	7	11	0.00%	2	166	18.44	0	2	2	1	12	0	21	0	0	42.75%	131	4	3	0	0	0.24	0	0	0	0
11	Haydn Fleury	Smirnoff Ice (CAL)	D	9	0	2	2	0	2	0	9	12	7	4	2	0.00%	8	195	21.71	0	0	0	0	13	0	21	0	0	0.00%	0	3	10	0	0	0.20	0	0	0	0
12	Scott Perunovich	Smirnoff Ice (CAL)	D	3	0	1	1	0	0	0	2	0	1	1	0	0.00%	5	42	14.16	0	0	0	1	2	0	2	0	0	0.00%	0	1	0	0	0	0.47	0	0	0	1
13	Jacob Larsson	Smirnoff Ice (CAL)	D	9	0	1	1	3	4	0	3	9	9	4	4	0.00%	5	181	20.20	0	0	0	1	11	0	22	0	0	0.00%	1	2	10	0	0	0.11	0	0	0	0
Stats d'équipe Total ou en Moyenne				103	27	42	69	1	39	5	119	95	236	71	132	11.44%	63	1998	19.40	8	14	22	23	141	7	193	2	2	49.32%	440	48	72	1	2	0.69	1	5	5	4

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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	PCT	GAA	MP	GA	SA	SAR	A	EG	ST	BG	S1	S3
1	Anthony Stolarz	Smirnoff Ice (CAL)	9	5	4	0.885	3.24	500	27	235	121	1	1	9	0	1	1
2	Lukas Dostal	Smirnoff Ice (CAL)	2	0	0	0.889	3.08	39	2	18	12	0	0	0	9	0	0
Stats d'équipe Total ou en Moyenne			11	5	4	0.885	3.23	539	29	253	133	1	1	9	9	1	1

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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
Aleksi Saarela	Smirnoff Ice (CAL)	LW	26	1997-01-07	Yes	200 Lbs	5 ft10	No	No	No	5	Avec Restriction	Pro & Farm	750,000$	0$	0$	No
Anthony Stolarz	Smirnoff Ice (CAL)	G	29	1994-01-20	No	243 Lbs	6 ft6	No	No	No	1	Sans Restriction	Pro & Farm	1,000,000$	0$	0$	No
Haydn Fleury	Smirnoff Ice (CAL)	D	27	1996-07-08	No	208 Lbs	6 ft4	No	No	No	4	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Henri Jokiharju	Smirnoff Ice (CAL)	D	24	1999-06-17	No	200 Lbs	6 ft0	No	No	No	4	Avec Restriction	Pro & Farm	2,000,000$	0$	0$	No
J.C. Lipon	Smirnoff Ice (CAL)	RW	29	1993-10-12	No	195 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	700,000$	0$	0$	No
Jacob Larsson	Smirnoff Ice (CAL)	D	26	1997-04-29	No	193 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	1,100,000$	0$	0$	No
Keegan Kolesar	Smirnoff Ice (CAL)	RW	26	1997-04-08	No	217 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	0$	0$	No
Lean Bergmann	Smirnoff Ice (CAL)	LW	24	1998-10-04	Yes	205 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	700,000$	0$	0$	No
Leevi Merilainen	Smirnoff Ice (CAL)	G	21	2002-08-13	Yes	158 Lbs	6 ft2	No	No	No	4	Avec Restriction	Pro & Farm	850,000$	0$	0$	No
Lukas Dostal	Smirnoff Ice (CAL)	G	23	2000-06-22	Yes	174 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	875,000$	0$	0$	No
Nicolas Kerdiles	Smirnoff Ice (CAL)	LW	28	1994-10-12	No	200 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	700,000$	0$	0$	No
Nikita Alexandrov	Smirnoff Ice (CAL)	C	23	2000-09-16	Yes	177 Lbs	6 ft1	No	No	No	4	Avec Restriction	Pro & Farm	850,000$	0$	0$	No
Scott Perunovich	Smirnoff Ice (CAL)	D	25	1998-08-18	Yes	175 Lbs	5 ft10	No	No	No	2	Avec Restriction	Pro & Farm	900,000$	0$	0$	No
Tanner Richard	Smirnoff Ice (CAL)	C	29	1993-10-12	No	192 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	700,000$	0$	0$	No
Turner Elson	Smirnoff Ice (CAL)	RW	31	1992-09-13	No	191 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	700,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
15	26.07	195 Lbs	6 ft1	2.20	941,667$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nicolas Kerdiles	Nikita Alexandrov	J.C. Lipon	35	1	2	2
2	Lean Bergmann	Tanner Richard		30	1	2	2
3	Aleksi Saarela			25	1	2	2
4	Nicolas Kerdiles	Nikita Alexandrov	Tanner Richard	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Henri Jokiharju	Haydn Fleury	35	1	2	2
2	Jacob Larsson	Scott Perunovich	30	1	2	2
3			25	1	2	2
4	Henri Jokiharju	Haydn Fleury	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nicolas Kerdiles	Nikita Alexandrov	J.C. Lipon	55	1	2	2
2	Lean Bergmann	Tanner Richard		45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Henri Jokiharju	Haydn Fleury	55	1	2	2
2	Jacob Larsson	Scott Perunovich	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nikita Alexandrov	Nicolas Kerdiles	55	1	2	2
2	Tanner Richard	J.C. Lipon	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Henri Jokiharju	Haydn Fleury	55	1	2	2
2	Jacob Larsson	Scott Perunovich	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Alexandrov	55	1	2	2	Henri Jokiharju	Haydn Fleury	55	1	2	2
2	Nicolas Kerdiles	45	1	2	2	Jacob Larsson	Scott Perunovich	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nikita Alexandrov	Nicolas Kerdiles	55	1	2	2
2	Tanner Richard	J.C. Lipon	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Henri Jokiharju	Haydn Fleury	55	1	2	2
2	Jacob Larsson	Scott Perunovich	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nicolas Kerdiles	Nikita Alexandrov	J.C. Lipon	Henri Jokiharju	Haydn Fleury

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nicolas Kerdiles	Nikita Alexandrov	J.C. Lipon	Henri Jokiharju	Haydn Fleury

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Aleksi Saarela, Lean Bergmann, J.C. Lipon	Aleksi Saarela, Lean Bergmann	J.C. Lipon

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jacob Larsson, Scott Perunovich, Henri Jokiharju	Jacob Larsson	Scott Perunovich, Henri Jokiharju

Tirs de Pénalité
Nikita Alexandrov, Nicolas Kerdiles, Tanner Richard, J.C. Lipon, Lean Bergmann

Gardien
#1 : Anthony Stolarz, #2 : Lukas Dostal

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	Farmers	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	3	16	14	0	27	72	107	93	0	21	5	4	12	4	2	50.00%	2	1	50.00%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
2	Husky	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	1	0	3	16	14	0	26	72	107	93	0	19	9	8	20	2	0	0.00%	4	1	75.00%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
3	Marlies	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	5	7	12	0	0	3	16	14	0	56	72	107	93	0	67	18	16	41	0	0	0.00%	8	1	87.50%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
4	Marmots	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	3	16	14	0	32	72	107	93	0	37	6	2	16	1	0	0.00%	1	0	100.00%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
5	Spartans	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	3	16	14	0	32	72	107	93	0	32	11	0	32	1	1	100.00%	0	0	0.00%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
6	TigersCats	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	5	8	0	0	3	16	14	0	34	72	107	93	0	30	11	8	24	2	0	0.00%	4	1	75.00%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
	Total	9	5	4	0	0	0	0	0	33	30	3	4	3	1	0	0	0	0	0	16	14	2	5	2	3	0	0	0	0	0	17	16	1	10	0.556	33	56	89	1	0	3	16	14	0	272	72	107	93	0	254	81	67	181	22	9	40.91%	31	8	74.19%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
8	Wolves	1	1	0	0	0	0	0	0	9	3	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	9	3	6	2	1.000	9	16	25	0	0	3	16	14	0	28	72	107	93	0	19	6	11	10	7	4	57.14%	3	0	100.00%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
9	Xpress	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	3	16	14	0	37	72	107	93	0	29	15	18	26	5	2	40.00%	9	4	55.56%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
	_Since Last GM Reset	9	5	4	0	0	0	0	0	33	30	3	4	3	1	0	0	0	0	0	16	14	2	5	2	3	0	0	0	0	0	17	16	1	10	0.556	33	56	89	1	0	3	16	14	0	272	72	107	93	0	254	81	67	181	22	9	40.91%	31	8	74.19%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
	_Vs Conference	7	3	4	0	0	0	0	0	19	24	-5	3	2	1	0	0	0	0	0	11	11	0	4	1	3	0	0	0	0	0	8	13	-5	6	0.429	19	31	50	1	0	3	16	14	0	212	72	107	93	0	203	64	56	139	14	4	28.57%	28	8	71.43%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
	_Vs Division	5	3	2	0	0	0	0	0	16	14	2	2	2	0	0	0	0	0	0	9	4	5	3	1	2	0	0	0	0	0	7	10	-3	6	0.600	16	26	42	0	0	3	16	14	0	149	72	107	93	0	155	40	30	93	7	2	28.57%	15	3	80.00%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79

			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	10	W1	33	56	89	272	254	81	67	181	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	4	0	0	0	0	33	30

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	16	14

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	17	16

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	4	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
22	9	40.91%	31	8	74.19%	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
72	107	93	0	3	16	14	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
87	179	48.60%	89	175	50.86%	70	156	44.87%

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
180	99	196	80	163	79

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
1 - 2024-04-06	8	Marlies	1	Smirnoff Ice	4	W	Sommaire du Match
3 - 2024-04-08	31	Farmers	3	Smirnoff Ice	5	W	Sommaire du Match
4 - 2024-04-09	33	Smirnoff Ice	1	Marlies	4	L	Sommaire du Match
6 - 2024-04-11	52	Smirnoff Ice	3	TigersCats	5	L	Sommaire du Match
7 - 2024-04-12	70	Smirnoff Ice	3	Marmots	1	W	Sommaire du Match
8 - 2024-04-13	77	Smirnoff Ice	9	Wolves	3	W	Sommaire du Match
9 - 2024-04-14	90	Xpress	7	Smirnoff Ice	2	L	Sommaire du Match
11 - 2024-04-16	114	Smirnoff Ice	1	Husky	3	L	Sommaire du Match
12 - 2024-04-17	123	Spartans	3	Smirnoff Ice	5	W	Sommaire du Match
13 - 2024-04-18	136	Smirnoff Ice	-	Warriors	-
15 - 2024-04-20	155	Rockets	-	Smirnoff Ice	-
17 - 2024-04-22	173	Smirnoff Ice	-	Rockets	-
18 - 2024-04-23	183	Grizzlies	-	Smirnoff Ice	-
19 - 2024-04-24	203	Marmots	-	Smirnoff Ice	-
22 - 2024-04-27	226	Warriors	-	Smirnoff Ice	-
23 - 2024-04-28	237	Smirnoff Ice	-	Chiwawa	-
24 - 2024-04-29	251	Smirnoff Ice	-	Igloos	-
25 - 2024-04-30	269	Marlies	-	Smirnoff Ice	-
27 - 2024-05-02	286	Marmots	-	Smirnoff Ice	-
28 - 2024-05-03	299	Smirnoff Ice	-	Grizzlies	-
30 - 2024-05-05	317	Grizzlies	-	Smirnoff Ice	-
31 - 2024-05-06	332	Smirnoff Ice	-	Scorpions	-
32 - 2024-05-07	347	Bayou	-	Smirnoff Ice	-
34 - 2024-05-09	361	Smirnoff Ice	-	Hunters	-
35 - 2024-05-10	378	Twins	-	Smirnoff Ice	-
37 - 2024-05-12	396	Smirnoff Ice	-	Warriors	-
38 - 2024-05-13	407	Smirnoff Ice	-	Wolves	-
40 - 2024-05-15	420	Hunters	-	Smirnoff Ice	-
41 - 2024-05-16	434	Smirnoff Ice	-	Raptors	-
43 - 2024-05-18	448	Vandals	-	Smirnoff Ice	-
44 - 2024-05-19	465	Smirnoff Ice	-	Bayou	-
45 - 2024-05-20	477	Smirnoff Ice	-	Barracudas	-
46 - 2024-05-21	494	Warriors	-	Smirnoff Ice	-
48 - 2024-05-23	517	Snowbirds	-	Smirnoff Ice	-
50 - 2024-05-25	530	Smirnoff Ice	-	Saguenéens	-
51 - 2024-05-26	545	Wolves	-	Smirnoff Ice	-
52 - 2024-05-27	563	Smirnoff Ice	-	CoolFm	-
54 - 2024-05-29	580	Thugs	-	Smirnoff Ice	-
56 - 2024-05-31	596	Raptors	-	Smirnoff Ice	-
57 - 2024-06-01	609	Smirnoff Ice	-	Rockets	-
59 - 2024-06-03	624	Smirnoff Ice	-	Supreme	-
60 - 2024-06-04	637	Barracudas	-	Smirnoff Ice	-
62 - 2024-06-06	655	Smirnoff Ice	-	Bandits	-
63 - 2024-06-07	668	Bandits	-	Smirnoff Ice	-
65 - 2024-06-09	692	Spartans	-	Smirnoff Ice	-
66 - 2024-06-10	698	Smirnoff Ice	-	Marmots	-
67 - 2024-06-11	710	Smirnoff Ice	-	Vipers	-
68 - 2024-06-12	727	Smirnoff Ice	-	Outlaws	-
69 - 2024-06-13	739	Scorpions	-	Smirnoff Ice	-
70 - 2024-06-14	755	Smirnoff Ice	-	Thugs	-
72 - 2024-06-16	774	Goons	-	Smirnoff Ice	-
73 - 2024-06-17	794	Smirnoff Ice	-	Twins	-
74 - 2024-06-18	804	Husky	-	Smirnoff Ice	-
76 - 2024-06-20	824	Igloos	-	Smirnoff Ice	-
77 - 2024-06-21	833	Smirnoff Ice	-	Goons	-
78 - 2024-06-22	846	Smirnoff Ice	-	Farmers	-
79 - 2024-06-23	866	Outlaws	-	Smirnoff Ice	-
82 - 2024-06-26	887	Vipers	-	Smirnoff Ice	-
83 - 2024-06-27	901	Smirnoff Ice	-	Snowbirds	-
84 - 2024-06-28	913	Smirnoff Ice	-	Xpress	-
86 - 2024-06-30	929	Supreme	-	Smirnoff Ice	-
87 - 2024-07-01	942	Smirnoff Ice	-	Predateurs	-
89 - 2024-07-03	955	Smirnoff Ice	-	TigersCats	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04	966	Rockets	-	Smirnoff Ice	-
91 - 2024-07-05	989	Chiwawa	-	Smirnoff Ice	-
93 - 2024-07-07	1010	Saguenéens	-	Smirnoff Ice	-
94 - 2024-07-08	1018	Smirnoff Ice	-	Marlies	-
95 - 2024-07-09	1027	Smirnoff Ice	-	Spartans	-
97 - 2024-07-11	1047	Smirnoff Ice	-	Grizzlies	-
98 - 2024-07-12	1054	Farmers	-	Smirnoff Ice	-
100 - 2024-07-14	1075	Smirnoff Ice	-	Vandals	-
101 - 2024-07-15	1084	Predateurs	-	Smirnoff Ice	-
105 - 2024-07-19	1114	TigersCats	-	Smirnoff Ice	-
107 - 2024-07-21	1133	CoolFm	-	Smirnoff Ice	-
111 - 2024-07-25	1163	TigersCats	-	Smirnoff Ice	-
112 - 2024-07-26	1176	Smirnoff Ice	-	Farmers	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	38	18
Assistance	7,885	4,000
Assistance PCT	98.56%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
34	2971 - 99.04%	111,489$	445,956$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
240,927$	1,412,500$	1,412,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	152,788$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
3,790,626$	101	19,580$	1,977,580$

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
45	82	32	38	0	3	4	2	3	280	329	-49	41	16	18	0	2	3	2	0	143	167	-24	41	16	20	0	1	1	0	3	137	162	-25	81	280	457	737	1	1	44	112	119	8	2478	600	976	886	37	2620	828	463	1517	227	65	28.63%	195	57	70.77%	3	715	1662	43.02%	762	1716	44.41%	565	1332	42.42%	1475	788	2087	701	1389	690
46	82	33	37	0	4	5	2	1	257	266	-9	41	17	20	0	1	3	0	0	135	143	-8	41	16	17	0	3	2	2	1	122	123	-1	84	257	419	676	1	2	32	110	109	8	2391	584	890	907	21	2466	828	466	1489	234	63	26.92%	205	49	76.10%	4	808	1637	49.36%	711	1564	45.46%	577	1188	48.57%	1427	741	2121	709	1401	694
47	9	5	4	0	0	0	0	0	33	30	3	4	3	1	0	0	0	0	0	16	14	2	5	2	3	0	0	0	0	0	17	16	1	10	33	56	89	1	0	3	16	14	0	272	72	107	93	0	254	81	67	181	22	9	40.91%	31	8	74.19%	0	87	179	48.60%	89	175	50.86%	70	156	44.87%	180	99	196	80	163	79
Total Saison Régulière	173	70	79	0	7	9	4	4	570	625	-55	86	36	39	0	3	6	2	0	294	324	-30	87	34	40	0	4	3	2	4	276	301	-25	175	570	932	1502	3	3	79	238	242	16	5141	1256	1973	1886	58	5340	1737	996	3187	483	137	28.36%	431	114	73.55%	7	1610	3478	46.29%	1562	3455	45.21%	1212	2676	45.29%	3083	1629	4405	1492	2953	1464

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