OTHL - Checkers

Hurricanes
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Client Web pour Lignes

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	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	Nick Suzuki (R)	X				100.00	73	43	97	83	66	72	82	75	77	79	71	63	25	53	53	74	50	69	0	21	3	1,325,833$
2	Casey Mittelstadt	X	X			100.00	63	42	97	83	74	63	89	70	66	63	64	58	79	57	57	67	50	66	0	22	2	1,491,666$
3	Ryan Donato	X	X			100.00	73	43	93	83	67	57	85	66	43	62	74	59	80	58	59	71	50	66	0	25	2	1,350,000$
4	Kaapo Kakko (R)			X		100.00	61	41	92	82	72	67	78	74	34	65	68	61	75	52	52	68	50	66	0	20	3	3,575,000$
5	Jack Hughes (R)	X	X			100.00	59	40	94	82	62	72	75	84	69	68	60	55	48	51	51	65	50	65	0	20	3	3,775,000$
6	Troy Terry	X		X		100.00	57	40	95	77	65	68	84	74	36	68	59	54	53	54	54	64	50	63	0	23	2	1,491,666$
7	Alexander Volkov (R)		X	X		100.00	75	71	83	64	71	81	86	63	50	62	58	67	55	55	55	65	50	63	0	23	3	925,000$
8	Mitchell Stephens (R)	X				100.00	73	43	91	65	70	57	64	60	86	58	58	74	25	47	47	63	50	61	0	24	3	919,166$
9	Egor Sharangovich	X				100.00	80	73	97	64	73	74	79	57	71	53	57	65	54	44	44	63	50	60	0	22	3	925,000$
10	Sasha Chmelevski (R)	X		X		100.00	73	68	84	65	68	65	66	62	78	59	62	63	59	44	44	64	50	60	0	21	3	927,500$
11	Philipp Kurashev (R)	X				100.00	77	70	92	66	70	64	66	59	74	57	57	64	54	44	44	62	50	60	0	21	3	925,000$
12	Otto Koivula		X	X		100.00	75	45	94	66	83	50	76	55	59	50	55	71	25	45	45	60	50	59	0	22	3	786,666$
13	Oliver Kylington				X	100.00	71	42	89	79	67	62	71	58	25	49	48	62	25	55	55	58	50	62	0	24	1	1,350,000$
14	Christian Jaros				X	100.00	76	44	86	63	76	55	72	53	25	57	47	65	25	54	54	59	50	61	0	25	1	801,667$
15	Alex Alexeyev (R)				X	100.00	81	77	90	63	77	67	71	51	25	46	41	64	39	44	44	55	50	60	0	21	3	863,333$
16	Nelson Nogier				X	100.00	74	72	78	65	72	76	84	46	25	37	39	60	37	44	44	52	50	59	0	25	4	975,000$
Rayé
1	Jesse Puljujarvi			X		100.00	75	44	89	81	80	62	80	61	44	60	59	65	25	57	57	64	50	64	0	23	0	0$
2	Michael Mersch		X			100.00	77	78	76	63	78	75	80	57	50	50	59	64	56	44	44	62	50	60	0	28	0	0$
3	Axel Jonsson-Fjallby (R)		X			100.00	76	68	94	66	68	58	59	55	50	48	58	63	55	44	44	60	50	57	0	23	3	860,000$
4	Kirill Maksimov (R)			X		100.00	78	77	81	67	77	69	75	50	50	47	47	63	45	44	44	56	50	57	0	21	3	879,167$

	MOYENNE D'ÉQUIPE					100.00	72	56	90	71	72	66	76	62	52	57	57	63	47	50	50	63	50	62

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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Matiss Kivlenieks	100.00	53	54	68	69	54	56	50	57	54	53	30	44	44	54	50	55	0
2	Jakub Skarek (R)	100.00	49	52	65	79	47	48	50	54	48	48	30	44	44	50	50	52	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	51	53	67	74	51	52	50	56	51	51	30	44	44	52	50	54

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mark Dennehy	53	73	73	61	49	33	57	USA	52	2	600,000$

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

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 89

#	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Kaapo Kakko	Checkers (CAR)	RW	70	48	38	86	32	28	0	124	129	264	83	203	18.18%	23	1410	20.15	8	9	17	41	233	0	0	0	3	112	4	0	52.87%	87	2	1.22	1	1	0	0	0	8	6	6
2	Jack Hughes	Checkers (CAR)	C/LW	79	36	49	85	55	6	0	22	136	222	66	134	16.22%	6	1206	15.27	6	6	12	37	157	0	0	0	0	13	8	0	64.81%	395	0	1.41	0	0	0	0	0	8	1	2
3	Ryan Donato	Checkers (CAR)	C/LW	61	44	38	82	48	40	0	119	85	261	55	188	16.86%	12	1128	18.50	5	9	14	40	209	0	0	0	4	61	5	0	57.31%	431	4	1.45	0	0	0	0	0	7	4	7
4	Alexander Volkov	Checkers (CAR)	LW/RW	82	35	43	78	64	63	5	130	75	185	54	152	18.92%	17	1197	14.60	1	5	6	16	107	2	0	2	4	36	4	2	67.82%	87	0	1.30	0	0	0	0	1	6	6	3
5	Casey Mittelstadt	Checkers (CAR)	C/LW	65	14	49	63	36	18	0	70	114	158	42	91	8.86%	9	1273	19.59	2	14	16	23	221	0	0	0	2	88	4	0	68.28%	599	1	0.99	0	0	0	0	0	0	6	3
6	Mitchell Stephens	Checkers (CAR)	C	82	29	33	62	59	24	0	68	94	168	53	131	17.26%	17	887	10.82	1	0	1	14	31	0	0	0	1	45	8	0	74.82%	425	1	1.40	0	0	0	0	0	2	6	1
7	Dmitry Sokolov	Hurricanes	LW/RW	41	36	26	62	46	30	10	66	72	258	69	150	13.95%	13	770	18.79	6	2	8	46	108	0	2	2	3	85	7	1	61.36%	88	3	1.61	0	1	0	1	1	4	3	5
8	Christian Jaros	Checkers (CAR)	D	82	7	53	60	56	66	0	161	51	58	16	37	12.07%	96	1583	19.31	3	8	11	29	205	0	1	1	0	142	0	0	0.00%	0	0	0.76	0	0	0	0	0	1	2	5
9	Markus Nutivaara	Hurricanes	D	44	10	44	54	22	59	5	99	40	80	26	72	12.50%	50	991	22.53	5	7	12	49	164	0	0	0	1	99	3	1	0.00%	0	0	1.09	0	0	0	0	1	1	2	4
10	Nick Suzuki	Checkers (CAR)	C	31	23	26	49	19	16	0	34	88	115	25	83	20.00%	4	706	22.79	5	4	9	19	111	0	0	0	1	102	4	0	69.21%	734	1	1.39	0	0	0	0	0	3	7	1
11	Aleksi Saarela	Hurricanes	C	61	15	33	48	20	37	5	68	71	112	39	96	13.39%	24	860	14.10	0	2	2	4	19	0	0	0	0	13	2	2	73.33%	375	0	1.12	0	0	0	0	1	2	2	4
12	Sasha Chmelevski	Checkers (CAR)	C/RW	74	16	26	42	49	30	0	85	51	112	30	73	14.29%	17	943	12.75	0	0	0	0	5	0	0	0	0	1	2	2	72.09%	43	0	0.89	0	0	0	0	0	0	1	5
13	Oliver Kylington	Checkers (CAR)	D	43	4	32	36	28	20	0	48	24	37	21	37	10.81%	25	824	19.18	3	3	6	19	106	0	0	0	0	84	1	0	0.00%	0	0	0.87	0	0	0	0	0	1	1	4
14	Troy Terry	Checkers (CAR)	C/RW	37	13	23	36	34	4	0	10	42	85	17	48	15.29%	2	581	15.71	1	1	2	9	73	0	0	0	0	21	0	1	61.36%	44	1	1.24	0	0	0	0	0	2	1	5
15	Alex Alexeyev	Checkers (CAR)	D	50	6	28	34	50	66	20	86	18	51	11	18	11.76%	28	1003	20.06	1	4	5	23	147	0	0	0	2	104	0	0	0.00%	0	0	0.68	0	0	1	0	2	1	1	2
16	Nelson Nogier	Checkers (CAR)	D	79	8	20	28	36	106	20	139	32	62	21	39	12.90%	55	1380	17.47	2	3	5	18	173	0	0	0	1	115	2	1	0.00%	0	0	0.41	0	0	2	1	1	1	1	0
17	Philipp Kurashev	Checkers (CAR)	C	40	4	15	19	27	26	0	65	18	38	8	17	10.53%	25	675	16.90	1	1	2	2	20	0	0	0	0	0	1	0	69.70%	33	0	0.56	0	0	0	0	0	0	0	0
18	Mathieu Perreault	Hurricanes	C/LW/RW	6	4	5	9	5	2	0	8	6	20	6	9	20.00%	0	109	18.29	0	0	0	4	29	0	0	0	0	7	1	0	61.29%	62	1	1.64	0	0	0	0	0	1	0	0
19	Egor Sharangovich	Checkers (CAR)	C	50	2	4	6	15	42	20	63	13	25	12	21	8.00%	21	669	13.40	0	0	0	3	22	0	0	0	0	38	0	0	76.47%	17	0	0.18	0	0	2	1	1	0	0	0
20	Otto Koivula	Checkers (CAR)	LW/RW	8	1	3	4	2	2	0	4	2	9	4	7	11.11%	0	50	6.35	0	1	1	1	8	0	0	0	0	2	0	0	0.00%	1	0	1.57	0	0	0	0	0	0	0	0
21	Rem Pitlick	Hurricanes	C/LW/RW	4	3	0	3	2	2	0	0	1	8	4	7	37.50%	1	25	6.39	0	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	2.35	0	0	0	0	0	0	0	0
22	Bobby Ryan	Hurricanes	RW	6	1	2	3	-1	19	5	23	7	19	3	8	5.26%	0	112	18.72	1	0	1	7	24	0	0	0	2	19	0	0	71.43%	7	0	0.53	0	0	0	1	0	0	0	0
23	German Rubtsov	Hurricanes	C	1	0	1	1	0	0	0	0	0	0	0	0	0.00%	0	3	3.38	0	0	0	0	0	0	0	0	0	0	0	0	75.00%	4	0	5.91	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1096	359	591	950	704	706	90	1492	1169	2347	665	1621	15.30%	445	18394	16.78	51	79	130	404	2182	2	3	5	24	1197	57	10	67.37%	3432	14	1.03	1	2	5	4	8	48	50	57

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 Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2
1	Martin Jones	Hurricanes	20	16	3	1	0.885	2.17	1191	2	5	43	373	3	1.000	3	20	15	2	1
2	Matiss Kivlenieks	Checkers (CAR)	22	15	4	1	0.887	2.10	1230	0	3	43	382	0	0.000	0	21	17	1	1
3	Mike Smith	Hurricanes	12	10	2	0	0.892	1.41	724	0	2	17	157	0	0.000	0	12	0	0	1
Stats d'équipe Total ou en Moyenne			54	41	9	2	0.887	1.96	3146	2	10	103	912	3	1.000	3	53	32	3	3

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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Alex Alexeyev	Checkers (CAR)	D	21	1999-11-15	Yes	201 Lbs	6 ft4	No	No	No	3	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$		Lien / Lien NHL
Alexander Volkov	Checkers (CAR)	LW/RW	23	1997-08-02	Yes	191 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$		Lien / Lien NHL
Axel Jonsson-Fjallby	Checkers (CAR)	LW	23	1998-02-10	Yes	185 Lbs	6 ft0	No	No	No	3	Pro & Farm	860,000$	0$	0$	No	860,000$	860,000$		Lien / Lien NHL
Casey Mittelstadt	Checkers (CAR)	C/LW	22	1998-11-22	No	203 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,491,666$	0$	0$	No	1,491,666$			Lien / Lien NHL
Christian Jaros	Checkers (CAR)	D	25	1996-04-02	No	201 Lbs	6 ft3	No	No	No	1	Pro & Farm	801,667$	0$	0$	No				Lien / Lien NHL
Egor Sharangovich	Checkers (CAR)	C	22	1998-06-06	No	196 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$		Lien / Lien NHL
Jack Hughes	Checkers (CAR)	C/LW	20	2001-05-13	Yes	171 Lbs	5 ft10	No	No	No	3	Pro & Farm	3,775,000$	0$	0$	No	3,775,000$	3,775,000$		Lien / Lien NHL
Jakub Skarek	Checkers (CAR)	G	21	1999-11-10	Yes	196 Lbs	6 ft3	No	No	No	3	Pro & Farm	913,333$	0$	0$	No	913,333$	913,333$		Lien / Lien NHL
Jesse Puljujarvi	Checkers (CAR)	RW	23	1998-05-07	No	211 Lbs	6 ft4	No	No	No	0	Pro & Farm		0$	0$	No				Lien
Kaapo Kakko	Checkers (CAR)	RW	20	2001-02-13	Yes	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	3,575,000$	0$	0$	No	3,575,000$	3,575,000$		Lien / Lien NHL
Kirill Maksimov	Checkers (CAR)	RW	21	1999-06-01	Yes	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	879,167$	0$	0$	No	879,167$	879,167$		Lien / Lien NHL
Matiss Kivlenieks	Checkers (CAR)	G	24	1996-08-25	No	178 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,066,667$	0$	0$	No				Lien / Lien NHL
Michael Mersch	Checkers (CAR)	LW	28	1992-10-02	No	213 Lbs	6 ft2	No	No	No	0	Pro & Farm		0$	0$	No				Lien / Lien NHL
Mitchell Stephens	Checkers (CAR)	C	24	1997-02-05	Yes	191 Lbs	6 ft0	No	No	No	3	Pro & Farm	919,166$	0$	0$	No	919,166$	919,166$		Lien / Lien NHL
Nelson Nogier	Checkers (CAR)	D	25	1996-05-26	No	191 Lbs	6 ft2	Yes	No	No	4	Pro & Farm	975,000$	0$	0$	No	975,000$	975,000$	975,000$	Lien / Lien NHL
Nick Suzuki	Checkers (CAR)	C	21	1999-08-10	Yes	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,325,833$	0$	0$	No	1,325,833$	1,325,833$		Lien / Lien NHL
Oliver Kylington	Checkers (CAR)	D	24	1997-05-19	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,350,000$	0$	0$	No				Lien / Lien NHL
Otto Koivula	Checkers (CAR)	LW/RW	22	1998-10-01	No	220 Lbs	6 ft4	No	No	No	3	Pro & Farm	786,666$	0$	0$	No	786,666$	786,666$		Lien / Lien NHL
Philipp Kurashev	Checkers (CAR)	C	21	1999-10-12	Yes	192 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$		Lien / Lien NHL
Ryan Donato	Checkers (CAR)	C/LW	25	1996-04-09	No	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,350,000$	0$	0$	No	1,350,000$			Lien / Lien NHL
Sasha Chmelevski	Checkers (CAR)	C/RW	21	1999-06-09	Yes	187 Lbs	6 ft0	No	No	No	3	Pro & Farm	927,500$	0$	0$	No	927,500$	927,500$		Lien
Troy Terry	Checkers (CAR)	C/RW	23	1997-09-10	No	174 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,491,666$	0$	0$	No	1,491,666$			Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	22.68	193 Lbs	6 ft1	2.36	1,187,576$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Casey Mittelstadt		Kaapo Kakko	40	1	2	2
2	Jack Hughes	Ryan Donato	Troy Terry	30	1	2	2
3	Alexander Volkov	Mitchell Stephens	Sasha Chmelevski	20	1	2	2
4		Philipp Kurashev		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Christian Jaros	40	1	2	2
2	Alex Alexeyev	Nelson Nogier	30	1	2	2
3	Philipp Kurashev	Egor Sharangovich	20	1	2	2
4		Christian Jaros	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Casey Mittelstadt		Kaapo Kakko	60	1	2	2
2	Jack Hughes	Ryan Donato	Troy Terry	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Christian Jaros	60	1	2	2
2	Alex Alexeyev	Nelson Nogier	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Casey Mittelstadt	60	1	2	2
2	Ryan Donato	Kaapo Kakko	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Christian Jaros	60	1	2	2
2	Alex Alexeyev	Nelson Nogier	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		Christian Jaros	60	1	2	2
2	Casey Mittelstadt	40	1	2	2	Alex Alexeyev	Nelson Nogier	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Casey Mittelstadt	60	1	2	2
2	Ryan Donato	Kaapo Kakko	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Christian Jaros	60	1	2	2
2	Alex Alexeyev	Nelson Nogier	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Casey Mittelstadt		Kaapo Kakko		Christian Jaros

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Casey Mittelstadt		Kaapo Kakko		Christian Jaros

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Alexander Volkov, Mitchell Stephens	, Alexander Volkov	Mitchell Stephens

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alex Alexeyev, Nelson Nogier,	Alex Alexeyev	Nelson Nogier,

Tirs de Pénalité
, Casey Mittelstadt, Ryan Donato, Kaapo Kakko, Jack Hughes

Gardien
#1 : Matiss Kivlenieks, #2 :

Lignes d'Attaque Perso. en Prol.
, Casey Mittelstadt, Ryan Donato, Kaapo Kakko, Jack Hughes, Troy Terry, Troy Terry, Alexander Volkov, Mitchell Stephens, Philipp Kurashev, Egor Sharangovich

Lignes de Défense Perso. en Prol.
, Christian Jaros, Alex Alexeyev, Nelson Nogier,

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	Americans	3	1	2	0	0	0	0	0	5	15	-10	1	1	0	0	0	0	0	0	2	1	1	2	0	2	0	0	0	0	0	3	14	-11	2	0.333	5	10	15	0	0	135	120	82	5	37	754	764	768	17	74	25	31	51	17	3	17.65%	13	3	76.92%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
2	Admirals	2	0	2	0	0	0	0	0	4	15	-11	1	0	1	0	0	0	0	0	1	11	-10	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	7	11	0	0	135	120	82	5	37	754	764	768	17	79	30	34	42	6	0	0.00%	10	6	40.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
3	Barracudas	2	0	2	0	0	0	0	0	4	13	-9	1	0	1	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	4	6	10	0	0	135	120	82	5	34	754	764	768	17	72	13	20	27	6	0	0.00%	10	3	70.00%	1	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
4	Bears	4	4	0	0	0	0	0	0	28	3	25	2	2	0	0	0	0	0	0	17	3	14	2	2	0	0	0	0	0	0	11	0	11	8	1.000	28	51	79	0	2	135	120	82	5	142	754	764	768	17	49	17	18	80	11	2	18.18%	9	0	100.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
5	Bruins	3	1	2	0	0	0	0	0	5	10	-5	1	1	0	0	0	0	0	0	3	1	2	2	0	2	0	0	0	0	0	2	9	-7	2	0.333	5	9	14	0	0	135	120	82	5	59	754	764	768	17	94	22	17	55	30	2	6.67%	6	1	83.33%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
6	Comets	2	0	2	0	0	0	0	0	3	12	-9	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	2	10	-8	0	0.000	3	4	7	0	0	135	120	82	5	35	754	764	768	17	54	11	4	35	17	1	5.88%	2	2	0.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
7	Condors	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	0	3	1	0	1	0	0	0	0	0	3	7	-4	2	0.500	6	12	18	0	1	135	120	82	5	22	754	764	768	17	64	24	19	32	12	2	16.67%	6	2	66.67%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
8	Crunch	3	1	1	0	1	0	0	0	13	17	-4	2	1	0	0	1	0	0	0	10	8	2	1	0	1	0	0	0	0	0	3	9	-6	4	0.667	13	22	35	0	0	135	120	82	5	88	754	764	768	17	94	24	28	66	17	1	5.88%	14	2	85.71%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
9	Devils	4	3	1	0	0	0	0	0	19	13	6	2	1	1	0	0	0	0	0	6	8	-2	2	2	0	0	0	0	0	0	13	5	8	6	0.750	19	35	54	0	0	135	120	82	5	79	754	764	768	17	77	31	44	74	15	2	13.33%	16	2	87.50%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
10	Eagles	2	2	0	0	0	0	0	0	17	2	15	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	9	1	8	4	1.000	17	29	46	0	0	135	120	82	5	91	754	764	768	17	21	3	10	30	3	1	33.33%	5	0	100.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
11	Griffins	3	1	2	0	0	0	0	0	8	11	-3	1	0	1	0	0	0	0	0	2	3	-1	2	1	1	0	0	0	0	0	6	8	-2	2	0.333	8	15	23	0	0	135	120	82	5	83	754	764	768	17	78	27	24	60	8	2	25.00%	12	4	66.67%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
12	Gulls	2	2	0	0	0	0	0	0	12	4	8	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	5	3	2	4	1.000	12	18	30	0	0	135	120	82	5	63	754	764	768	17	32	8	18	32	10	2	20.00%	9	2	77.78%	1	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
13	Heat	2	2	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	4	0	4	4	1.000	9	16	25	0	1	135	120	82	5	40	754	764	768	17	26	18	20	39	5	2	40.00%	8	0	100.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
14	IceHogs	2	0	2	0	0	0	0	0	1	12	-11	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	9	-9	0	0.000	1	2	3	0	0	135	120	82	5	26	754	764	768	17	55	14	14	31	7	0	0.00%	6	0	100.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
15	Marlies	3	0	2	0	0	1	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	3	-1	2	0	1	0	0	1	0	0	4	6	-2	1	0.167	6	12	18	0	0	135	120	82	5	65	754	764	768	17	58	13	20	64	23	3	13.04%	9	2	77.78%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
16	Monsters	4	3	1	0	0	0	0	0	15	12	3	2	2	0	0	0	0	0	0	8	3	5	2	1	1	0	0	0	0	0	7	9	-2	6	0.750	15	26	41	0	0	135	120	82	5	80	754	764	768	17	78	25	57	72	20	3	15.00%	18	5	72.22%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
17	Moose	2	1	1	0	0	0	0	0	4	4	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	8	12	0	0	135	120	82	5	33	754	764	768	17	38	9	46	27	13	2	15.38%	8	2	75.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
18	Penguins	4	3	1	0	0	0	0	0	17	10	7	2	2	0	0	0	0	0	0	8	4	4	2	1	1	0	0	0	0	0	9	6	3	6	0.750	17	31	48	0	1	135	120	82	5	102	754	764	768	17	85	27	33	87	15	2	13.33%	10	3	70.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
19	Phantoms	4	1	2	0	1	0	0	0	9	16	-7	2	1	1	0	0	0	0	0	2	7	-5	2	0	1	0	1	0	0	0	7	9	-2	4	0.500	9	15	24	0	0	135	120	82	5	96	754	764	768	17	88	24	33	60	33	2	6.06%	14	4	71.43%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
20	Rampage	2	2	0	0	0	0	0	0	16	0	16	1	1	0	0	0	0	0	0	8	0	8	1	1	0	0	0	0	0	0	8	0	8	4	1.000	16	28	44	0	2	135	120	82	5	95	754	764	768	17	20	4	6	22	8	3	37.50%	3	0	100.00%	1	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
21	Reign	2	2	0	0	0	0	0	0	14	8	6	1	1	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	6	5	1	4	1.000	14	24	38	0	0	135	120	82	5	66	754	764	768	17	18	15	10	32	8	3	37.50%	5	4	20.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
22	Roadrunners	2	1	0	0	0	0	1	0	13	9	4	1	1	0	0	0	0	0	0	7	4	3	1	0	0	0	0	0	1	0	6	5	1	4	1.000	13	19	32	0	0	135	120	82	5	79	754	764	768	17	45	9	14	33	5	2	40.00%	7	2	71.43%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
23	Rocket	3	1	1	0	0	1	0	0	5	9	-4	2	1	1	0	0	0	0	0	4	7	-3	1	0	0	0	0	1	0	0	1	2	-1	3	0.500	5	9	14	0	0	135	120	82	5	72	754	764	768	17	34	14	28	46	23	2	8.70%	7	2	71.43%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
24	Senators	3	1	2	0	0	0	0	0	12	13	-1	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	12	19	31	0	0	135	120	82	5	113	754	764	768	17	79	26	22	70	15	2	13.33%	9	1	88.89%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
25	Sound Tigers	4	4	0	0	0	0	0	0	34	1	33	2	2	0	0	0	0	0	0	19	0	19	2	2	0	0	0	0	0	0	15	1	14	8	1.000	34	61	95	0	3	135	120	82	5	198	754	764	768	17	48	12	18	70	5	0	0.00%	8	0	100.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
26	Stars	2	2	0	0	0	0	0	0	14	6	8	1	1	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	4	3	1	4	1.000	14	24	38	0	0	135	120	82	5	69	754	764	768	17	35	10	14	41	7	1	14.29%	7	2	71.43%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
27	Thunderbirds	3	0	1	0	2	0	0	0	6	11	-5	2	0	1	0	1	0	0	0	3	9	-6	1	0	0	0	1	0	0	0	3	2	1	4	0.667	6	12	18	0	0	135	120	82	5	73	754	764	768	17	71	19	35	55	15	1	6.67%	14	4	71.43%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
28	Wild	2	2	0	0	0	0	0	0	16	6	10	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	10	4	6	4	1.000	16	31	47	0	0	135	120	82	5	110	754	764	768	17	49	19	6	35	5	2	40.00%	3	1	66.67%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
29	Wolf Pack	4	4	0	0	0	0	0	0	25	7	18	2	2	0	0	0	0	0	0	16	3	13	2	2	0	0	0	0	0	0	9	4	5	8	1.000	25	43	68	0	0	135	120	82	5	179	754	764	768	17	65	14	14	75	5	0	0.00%	7	1	85.71%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
30	Wolves	2	1	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	2	0	2	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	2	3	5	0	1	135	120	82	5	34	754	764	768	17	25	9	24	36	5	0	0.00%	12	3	75.00%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
	Total	82	46	29	0	4	2	1	0	342	260	82	41	28	11	0	2	0	0	0	186	110	76	41	18	18	0	2	2	1	0	156	150	6	104	0.634	342	601	943	0	11	135	120	82	5	2300	754	764	768	17	1705	516	681	1479	369	48	13.01%	267	63	76.40%	3	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
	_Since Last GM Reset	82	46	29	0	4	2	1	0	342	260	82	41	28	11	0	2	0	0	0	186	110	76	41	18	18	0	2	2	1	0	156	150	6	104	0.634	342	601	943	0	11	135	120	82	5	2300	754	764	768	17	1705	516	681	1479	369	48	13.01%	267	63	76.40%	3	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
	_Vs Conference	51	27	18	0	4	2	0	0	205	154	51	26	16	8	0	2	0	0	0	111	70	41	25	11	10	0	2	2	0	0	94	84	10	64	0.627	205	364	569	0	6	135	120	82	5	1464	754	764	768	17	1052	306	395	969	252	25	9.92%	155	33	78.71%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
	_Vs Division	28	17	6	0	3	0	0	0	147	62	85	14	10	2	0	1	0	0	0	76	28	48	14	7	4	0	2	0	0	0	71	34	37	40	0.714	147	262	409	0	6	135	120	82	5	876	754	764	768	17	490	150	217	518	104	11	10.58%	82	15	81.71%	0	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476

			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
82	104	L1	342	601	943	2300	1705	516	681	1479	0	11

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	46	29	4	2	1	0	342	260

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	28	11	2	0	0	0	186	110

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	18	2	2	1	0	156	150

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	2	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
369	48	13.01%	267	63	76.40%	3

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
754	764	768	17	135	120	82	5

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
1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%

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
2426	1887	1629	474	882	476

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	SO	Lien
2 - 2020-10-25	6	Rocket	6	Checkers	2	L			Sommaire du Match
4 - 2020-10-27	30	Checkers	5	Bears	0	W			Sommaire du Match
5 - 2020-10-28	31	Crunch	3	Checkers	4	W			Sommaire du Match
7 - 2020-10-30	38	Checkers	3	Thunderbirds	2	W	X		Sommaire du Match
10 - 2020-11-02	59	Sound Tigers	0	Checkers	12	W			Sommaire du Match
11 - 2020-11-03	62	Monsters	2	Checkers	5	W			Sommaire du Match
14 - 2020-11-06	86	Checkers	6	Reign	5	W			Sommaire du Match
15 - 2020-11-07	96	Checkers	0	Barracudas	4	L			Sommaire du Match
17 - 2020-11-09	107	Checkers	5	Gulls	3	W			Sommaire du Match
23 - 2020-11-15	145	Checkers	4	Monsters	7	L			Sommaire du Match
25 - 2020-11-17	162	IceHogs	3	Checkers	1	L			Sommaire du Match
28 - 2020-11-20	181	Heat	1	Checkers	5	W			Sommaire du Match
31 - 2020-11-23	197	Griffins	3	Checkers	2	L			Sommaire du Match
32 - 2020-11-24	207	Devils	6	Checkers	1	L			Sommaire du Match
35 - 2020-11-27	230	Checkers	4	Phantoms	7	L			Sommaire du Match
37 - 2020-11-29	238	Wolf Pack	1	Checkers	11	W			Sommaire du Match
39 - 2020-12-01	257	Checkers	2	Senators	4	L			Sommaire du Match
41 - 2020-12-03	270	Senators	5	Checkers	4	L			Sommaire du Match
44 - 2020-12-06	287	Checkers	1	Americans	6	L			Sommaire du Match
46 - 2020-12-08	305	Checkers	10	Wild	4	W			Sommaire du Match
49 - 2020-12-11	321	Checkers	0	IceHogs	9	L			Sommaire du Match
51 - 2020-12-13	335	Phantoms	6	Checkers	0	L			Sommaire du Match
53 - 2020-12-15	349	Thunderbirds	8	Checkers	1	L			Sommaire du Match
54 - 2020-12-16	363	Checkers	3	Griffins	7	L			Sommaire du Match
57 - 2020-12-19	384	Checkers	6	Wolf Pack	2	W			Sommaire du Match
59 - 2020-12-21	394	Admirals	11	Checkers	1	L			Sommaire du Match
60 - 2020-12-22	414	Checkers	3	Crunch	9	L			Sommaire du Match
63 - 2020-12-25	424	Checkers	1	Bruins	5	L			Sommaire du Match
65 - 2020-12-27	439	Barracudas	9	Checkers	4	L			Sommaire du Match
67 - 2020-12-29	453	Wild	2	Checkers	6	W			Sommaire du Match
70 - 2021-01-01	475	Checkers	3	Condors	7	L			Sommaire du Match
72 - 2021-01-03	498	Checkers	2	Comets	10	L			Sommaire du Match
74 - 2021-01-05	503	Checkers	4	Heat	0	W			Sommaire du Match
77 - 2021-01-08	534	Checkers	1	Moose	3	L			Sommaire du Match
79 - 2021-01-10	542	Checkers	9	Eagles	1	W			Sommaire du Match
81 - 2021-01-12	554	Thunderbirds	1	Checkers	2	W	X		Sommaire du Match
83 - 2021-01-14	578	Checkers	1	Marlies	2	L			Sommaire du Match
87 - 2021-01-18	589	Checkers	3	Wolf Pack	2	W			Sommaire du Match
88 - 2021-01-19	593	Bears	2	Checkers	9	W			Sommaire du Match
91 - 2021-01-22	615	Rocket	1	Checkers	2	W			Sommaire du Match
94 - 2021-01-25	639	Bears	1	Checkers	8	W			Sommaire du Match
96 - 2021-01-27	654	Crunch	5	Checkers	6	W	X		Sommaire du Match
98 - 2021-01-29	664	Phantoms	1	Checkers	2	W			Sommaire du Match
101 - 2021-02-01	689	Roadrunners	4	Checkers	7	W			Sommaire du Match
102 - 2021-02-02	693	Reign	3	Checkers	8	W			Sommaire du Match
104 - 2021-02-04	713	Checkers	6	Bears	0	W			Sommaire du Match
107 - 2021-02-07	728	Checkers	3	Monsters	2	W			Sommaire du Match
108 - 2021-02-08	740	Gulls	1	Checkers	7	W			Sommaire du Match
110 - 2021-02-10	755	Sound Tigers	0	Checkers	7	W			Sommaire du Match
112 - 2021-02-12	762	Moose	1	Checkers	3	W			Sommaire du Match
122 - 2021-02-22	786	Wolves	0	Checkers	2	W			Sommaire du Match
124 - 2021-02-24	806	Comets	2	Checkers	1	L			Sommaire du Match
126 - 2021-02-26	821	Checkers	8	Rampage	0	W			Sommaire du Match
128 - 2021-02-28	827	Checkers	6	Roadrunners	5	W	X	X	Sommaire du Match
130 - 2021-03-02	852	Checkers	0	Wolves	4	L			Sommaire du Match
133 - 2021-03-05	869	Checkers	4	Stars	3	W			Sommaire du Match
136 - 2021-03-08	891	Devils	2	Checkers	5	W			Sommaire du Match
138 - 2021-03-10	907	Condors	0	Checkers	3	W			Sommaire du Match
140 - 2021-03-12	921	Checkers	3	Admirals	4	L			Sommaire du Match
143 - 2021-03-15	942	Wolf Pack	2	Checkers	5	W			Sommaire du Match
144 - 2021-03-16	956	Checkers	3	Marlies	4	L	X		Sommaire du Match
147 - 2021-03-19	971	Stars	3	Checkers	10	W			Sommaire du Match
150 - 2021-03-22	995	Eagles	1	Checkers	8	W			Sommaire du Match
151 - 2021-03-23	1003	Checkers	1	Rocket	2	L	X		Sommaire du Match
156 - 2021-03-28	1040	Checkers	3	Phantoms	2	W	X		Sommaire du Match
158 - 2021-03-30	1054	Checkers	12	Sound Tigers	1	W			Sommaire du Match
159 - 2021-03-31	1063	Checkers	1	Penguins	3	L			Sommaire du Match
161 - 2021-04-02	1072	Checkers	3	Griffins	1	W			Sommaire du Match
163 - 2021-04-04	1089	Checkers	7	Devils	2	W			Sommaire du Match
165 - 2021-04-06	1100	Penguins	0	Checkers	2	W			Sommaire du Match
166 - 2021-04-07	1110	Checkers	2	Americans	8	L			Sommaire du Match
168 - 2021-04-09	1123	Americans	1	Checkers	2	W			Sommaire du Match
170 - 2021-04-11	1137	Rampage	0	Checkers	8	W			Sommaire du Match
172 - 2021-04-13	1154	Senators	4	Checkers	6	W			Sommaire du Match
173 - 2021-04-14	1168	Checkers	3	Sound Tigers	0	W			Sommaire du Match
175 - 2021-04-16	1183	Checkers	8	Penguins	3	W			Sommaire du Match
177 - 2021-04-18	1192	Marlies	3	Checkers	2	L			Sommaire du Match
179 - 2021-04-20	1207	Penguins	4	Checkers	6	W			Sommaire du Match
180 - 2021-04-21	1219	Checkers	6	Devils	3	W			Sommaire du Match
182 - 2021-04-23	1228	Bruins	1	Checkers	3	W			Sommaire du Match
185 - 2021-04-26	1256	Monsters	1	Checkers	3	W			Sommaire du Match
186 - 2021-04-27	1258	Checkers	1	Bruins	4	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	50	0
Assistance	79,523	38,921
Assistance PCT	96.98%	94.93%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	2889 - 96.30%	96,979$	3,976,150$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
4,727,469$	2,612,668$	1,942,168$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
14,047$	4,127,486$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	17,272$	0$

Afficher ou Masquer des Colonnes

Warning: Undefined variable $TeamCareerSumSeasonOnly in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/FarmTeam.php on line 1324

	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

	Checkers
	GP: 82 \| W: 51 \| L: 29 \| OTL: 2 \| P: 104 GF: 342 \| GA: 260 \| PP%: 13.01% \| PK%: 76.40% DG: Neil \| Morale : 50 \| Moyenne d'Équipe : 61