Binghamton
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Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	Senators 31-21-4, 66pts	2	FINAL	5	Lightning 30-20-5, 65pts

Team Stats
W1	Streak	L1
13-10-2	Home Record	15-10-2
18-11-2	Away Record	15-10-3
7-2-1	Last 10 Games	6-4-0
3.18	Buts par match	3.45
3.00	Buts contre par match	2.85
19.50%	Pourcentage en avantage numérique	25.49%
77.56%	Pourcentage en désavantage numérique	84.42%

Senators
31-21-4, 66pts

FINAL

Panthers
30-18-9, 69pts

Team Stats
W1	Streak	L1
13-10-2	Home Record	15-10-3
18-11-2	Away Record	15-8-6
7-2-1	Last 10 Games	6-3-1
3.18	Buts par match	3.04
3.00	Buts contre par match	2.86
19.50%	Pourcentage en avantage numérique	22.44%
77.56%	Pourcentage en désavantage numérique	81.10%

Canadiens
36-14-6, 78pts

2025-02-18

Senators
31-21-4, 66pts

Statistiques d’équipe
W1	Séquence	W1
18-8-3	Fiche domicile	13-10-2
18-6-3	Fiche visiteur	18-11-2
6-2-2	10 derniers matchs	7-2-1
3.07	Buts par match	3.18
2.57	Buts contre par match	3.18
20.75%	Pourcentage en avantage numérique	19.50%
77.71%	Pourcentage en désavantage numérique	77.56%

Jets
26-25-5, 57pts

2025-02-22

Senators
31-21-4, 66pts

Statistiques d’équipe
L1	Séquence	W1
17-10-3	Fiche domicile	13-10-2
9-15-2	Fiche visiteur	18-11-2
3-4-3	10 derniers matchs	7-2-1
2.86	Buts par match	3.18
3.11	Buts contre par match	3.18
16.43%	Pourcentage en avantage numérique	19.50%
76.35%	Pourcentage en désavantage numérique	77.56%

Sharks
38-14-5, 81pts

2025-02-25

Senators
31-21-4, 66pts

Statistiques d’équipe
L1	Séquence	W1
20-5-4	Fiche domicile	13-10-2
18-9-1	Fiche visiteur	18-11-2
9-1-0	10 derniers matchs	7-2-1
3.49	Buts par match	3.18
2.84	Buts contre par match	3.18
29.82%	Pourcentage en avantage numérique	19.50%
85.99%	Pourcentage en désavantage numérique	77.56%

Meneurs d'équipe
	Buts Kyle Connor 32	Passes Kyle Connor 50

	Points Kyle Connor 82	Plus/Moins Nikita Zadorov 16

	Victoires John Gibson 31	Pourcentage d’arrêts John Gibson 0.908

Statistiques d’équipe
Buts pour 178 3.18 GFG	Tirs pour 1782 31.82 Avg	Pourcentage en avantage numérique 19.5% 31 GF	Début de zone offensive 37.3%
Buts contre 168 3.00 GAA	Tirs contre 1728 30.86 Avg	Pourcentage en désavantage numérique 77.6%% 35 GA	Début de la zone défensive 36.1%

Informations de l'équipe
	Directeur général	Tim Gaudreau
	Division	Atlantique
	Conférence	Conference Est
	Capitaine	Ryan O'Reilly
	Assistant #1	Chris Kreider
	Assistant #2	Ryan McDonagh
Informations de l’aréna
	Nom	Centre Canadian Tire
	Capacité	18,000
	Assistance	16,859
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	25
	Équipe Mineure	2
	Limite contact	27 / 250
	Espoirs	53
Plafond salarial
	Cap Salarial de la Saison estimé	70,827,856$
	Plafond salarial disponible	12,672,144$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	25
Finance
	Revenu annuel à ce jour	14,811,380$
	Dépenses annuelles à ce jour	50,952,747$
	Revenus de la saison estimés	9,479,283$
	Dépenses de la saison estimées	19,875,185$
	Compte bancaire actuel	-660,091,264$
	Compte bancaire projeté	-670,487,166$
Historique d'équipe
	Saison actuelle	31-21-4 (66PTS)
	Historique	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	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	Anthony Duclair			X		100.00	69	42	86	90	70	72	64	76	37	70	84	67	79	74	76	77	50	0	0	28	1	3,000,000$
2	John Beecher (R)	X				100.00	87	69	86	65	78	57	81	65	90	56	64	81	25	49	49	68	50	0	0	22	2	925,000$
3	Frederick Gaudreau	X	X			100.00	63	41	93	76	65	66	92	74	80	62	58	78	85	68	69	67	50	0	0	30	5	2,100,000$
4	Matthew Coronato (R)			X		100.00	59	40	93	77	65	63	74	77	34	64	59	68	25	47	47	65	50	0	0	20	2	925,000$
5	Kyle Connor		X			100.00	59	41	96	91	68	81	91	92	33	80	95	62	57	70	72	84	50	0	0	26	3	7,142,857$
6	Joshua Roy (R)			X		100.00	65	42	99	78	68	62	69	70	34	67	70	66	25	46	46	70	50	0	0	20	3	835,000$
7	Ryan O'Reilly (C)	X				100.00	61	42	92	81	78	83	85	90	95	83	83	77	77	86	90	81	50	0	0	32	4	4,500,000$
8	Jack McBain	X	X			100.00	95	89	79	77	83	63	92	63	76	72	62	75	25	60	60	70	50	0	0	23	2	1,599,999$
9	Tyler Bertuzzi			X		100.00	77	54	81	82	75	73	82	74	34	73	77	64	25	67	68	74	50	0	0	28	1	5,500,000$
10	Tyler Motte		X	X		100.00	79	44	87	78	68	62	83	65	55	54	59	87	25	67	69	68	50	0	0	28	1	800,000$
11	Michael McLeod	X				100.00	87	45	92	89	70	69	80	66	99	65	73	77	25	65	66	75	50	0	0	25	1	1,400,000$
12	Chris Kreider (A)		X			100.00	77	45	89	89	80	79	98	95	40	81	92	72	63	81	83	86	50	0	0	32	4	6,500,000$
13	Warren Foegele			X		100.00	76	54	83	77	74	66	92	69	38	71	75	73	25	69	72	75	50	0	0	27	1	2,750,000$
14	Ryan McDonagh (A)				X	100.00	65	42	87	83	77	84	90	68	25	68	48	89	25	82	91	67	50	0	0	34	2	6,750,000$
15	Caleb Jones				X	100.00	79	44	89	77	71	59	72	64	25	54	47	74	75	66	66	62	50	0	0	26	1	775,000$
16	Vincent Desharnais				X	100.00	82	78	80	70	82	67	81	62	25	50	47	85	25	57	58	63	50	0	0	27	1	762,500$
17	Nikita Zadorov				X	100.00	89	96	56	80	92	72	96	63	25	54	49	80	25	73	74	64	50	0	0	28	1	3,750,000$
18	Devon Toews				X	100.00	73	43	92	83	71	88	98	74	25	70	58	88	75	70	74	73	50	0	0	29	1	4,100,000$
19	Ryan Graves				X	100.00	75	45	87	81	84	75	91	64	25	52	48	88	75	68	70	65	50	0	0	28	6	4,500,000$
Rayé
1	Trey Fix-Wolansky			X		100.00	75	43	93	68	64	57	84	67	25	59	71	58	25	46	46	68	50	0	0	24	2	775,000$
2	Jack Studnicka	X		X		100.00	81	44	91	80	65	59	70	65	67	50	57	76	25	57	57	64	50	0	0	24	1	762,500$
3	Hugh McGing	X	X			100.00	64	58	78	64	58	76	80	62	78	65	56	59	53	44	44	61	50	0	0	25	1	775,000$
Équipe Mineure
1	Maksymilian Szuber (R)				X	100.00	75	73	80	66	73	67	72	51	25	45	42	61	40	44	44	54	68	0	0	21	1	545,000$

	MOYENNE D’ÉQUIPE					100.00	74	52	87	79	73	70	84	71	48	65	65	75	44	64	66	70	50	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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Karel Vejmelka	100.00	63	74	72	81	65	60	69	64	65	63	75	59	59	65	50	0	0	27	2	2,725,000$
2	John Gibson	100.00	65	79	78	82	65	64	69	64	65	65	61	71	71	67	50	0	0	30	2	6,400,000$
Rayé
1	Matt Villalta (R)	100.00	56	46	58	65	60	59	56	62	60	59	30	44	44	57	50	0	0	24	1	775,000$
Équipe Mineure
1	Yaniv Perets (R)	100.00	46	48	60	68	45	91	45	50	90	81	45	44	44	62	68	0	0	23	2	805,000$

	MOYENNE D’ÉQUIPE	100.00	61	66	69	76	63	61	65	63	63	62	55	58	58	63	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Kyle Connor	Senators	LW	56	32	50	82	13	4	0	59	44	267	85	166	11.99%	21	1130	20.18	5	13	18	35	145	1	0	1	5	29	5	0	38.10%	63	83	18	0	0	1.45	1	1	0	0	0	8	5	5
2	Ryan O'Reilly	Senators	C	56	28	47	75	12	6	0	65	104	204	66	122	13.73%	36	1131	20.20	6	11	17	28	146	0	0	0	1	18	4	0	57.62%	1352	40	30	0	0	1.33	3	6	0	0	0	5	7	3
3	Chris Kreider	Senators	LW	56	19	31	50	8	14	0	85	57	187	67	117	10.16%	23	959	17.14	2	7	9	14	111	0	0	0	0	23	3	1	33.71%	89	64	16	0	1	1.04	0	2	0	0	0	5	1	1
4	Anthony Duclair	Senators	RW	56	16	21	37	8	24	0	98	46	141	37	94	11.35%	19	984	17.58	2	4	6	7	145	0	0	0	0	23	3	1	17.86%	56	31	11	0	0	0.75	0	7	0	0	0	2	2	4
5	Devon Toews	Senators	D	56	9	20	29	0	22	0	66	101	91	44	44	9.89%	82	1515	27.07	7	2	9	12	157	0	0	0	6	137	1	0	0.00%	0	33	48	1	0	0.38	0	0	0	0	0	2	1	1
6	Michael McLeod	Senators	C	49	11	18	29	10	15	5	77	99	74	27	58	14.86%	24	933	19.05	3	5	8	9	95	0	0	0	3	108	1	1	57.29%	871	13	16	0	0	0.62	0	0	0	1	0	2	1	0
7	Ryan McDonagh	Senators	D	56	3	24	27	1	36	0	66	109	78	36	40	3.85%	96	1525	27.24	1	6	7	12	157	0	1	1	2	135	0	0	0.00%	0	14	59	0	0	0.35	0	0	0	0	0	0	1	0
8	Tyler Bertuzzi	Senators	RW	56	15	11	26	11	42	0	101	51	64	17	41	23.44%	14	1053	18.81	2	3	5	5	109	0	0	0	0	0	2	2	34.78%	69	11	12	1	1	0.49	0	0	0	0	0	1	3	2
9	Frederick Gaudreau	Senators	C/LW	56	10	11	21	1	6	0	41	59	107	33	64	9.35%	12	725	12.95	0	0	0	1	5	0	0	0	2	62	1	2	57.04%	277	20	16	0	0	0.58	1	7	0	0	0	1	3	1
10	Jack McBain	Senators	C/LW	56	6	13	19	1	46	10	79	50	76	16	48	7.89%	9	717	12.82	0	2	2	0	17	0	0	0	0	38	3	0	49.56%	113	18	11	0	0	0.53	0	0	0	1	1	2	0	2
11	Warren Foegele	Senators	RW	56	7	11	18	-1	8	0	56	31	131	28	66	5.34%	11	616	11.01	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	30	30	8	0	0	0.58	0	0	0	0	0	1	1	3
12	Ryan Graves	Senators	D	56	3	14	17	14	4	0	49	75	56	32	20	5.36%	76	1044	18.65	2	0	2	4	105	0	0	0	0	4	1	0	0.00%	0	9	33	0	0	0.33	0	0	0	0	0	0	1	0
13	John Beecher	Senators	C	56	4	5	9	-4	13	5	67	44	37	17	31	10.81%	12	559	9.99	0	0	0	0	6	0	0	0	1	83	1	0	49.47%	188	6	5	0	0	0.32	0	0	0	0	1	0	3	0
14	Joshua Roy	Senators	RW	56	6	1	7	-8	0	0	16	14	71	24	41	8.45%	5	431	7.70	0	0	0	0	1	0	0	0	0	0	0	1	36.36%	11	15	5	0	0	0.32	0	0	0	0	0	0	0	1
15	Nikita Zadorov	Senators	D	56	1	6	7	16	103	35	118	83	50	17	23	2.00%	57	1102	19.69	1	1	2	6	103	0	0	0	1	89	0	0	0.00%	0	5	36	0	0	0.13	0	0	4	2	0	0	0	0
16	Tyler Motte	Senators	LW/RW	56	4	3	7	-6	6	0	46	46	71	18	39	5.63%	20	585	10.45	0	0	0	0	0	0	0	0	4	111	3	0	35.71%	14	17	12	0	0	0.24	0	0	0	0	0	0	1	2
17	Caleb Jones	Senators	D	56	1	2	3	-3	19	5	33	55	26	11	15	3.85%	34	758	13.55	0	0	0	0	2	0	0	0	0	35	0	0	0.00%	0	1	14	0	0	0.08	0	0	1	0	0	0	0	0
18	Vincent Desharnais	Senators	D	56	0	2	2	-2	23	5	53	52	42	8	16	0.00%	31	812	14.51	0	0	0	0	1	0	0	0	0	98	0	0	0.00%	1	8	33	0	0	0.05	0	0	0	1	0	0	0	0
19	Matthew Coronato	Senators	RW	56	0	0	0	-3	5	5	5	2	9	3	6	0.00%	2	71	1.27	0	0	0	0	6	0	0	0	0	0	0	0	0.00%	0	4	0	0	0	0.00%	0	0	1	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1057	175	290	465	68	396	70	1180	1122	1782	586	1051	9.82%	584	16657	15.76	31	54	85	133	1318	1	1	2	25	998	28	8	54.05%	3134	422	383	2	2	0.56	5	23	6	5	2	29	30	25

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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	GA	SA	SAR	EG	PS %	PSA	ST	BG	S1	S2	S3
1	John Gibson	Senators	53	31	16	4	0.908	2.81	3031	4	142	1549	875	0	0.682	22	53	3	7	4	5
2	Karel Vejmelka	Senators	9	0	5	0	0.882	3.46	364	0	21	178	96	1	0.00%	0	3	53	0	0	0
Statistiques d’équipe totales ou en moyenne			62	31	21	4	0.906	2.88	3396	4	163	1727	971	1		22	56	56	7	4	5

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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	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Link
Anthony Duclair	Senators	RW	28	1995-08-26	No	198 Lbs	5 ft11	No	No	No	1	Pro & Farm	3,000,000$	841,837$	3,000,000$	841,837$	No						Lien / Lien NHL
Caleb Jones	Senators	D	26	1997-06-05	No	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	775,000$	217,474$	775,000$	217,474$	No						Lien / Lien NHL
Chris Kreider	Senators	LW	32	1991-04-29	No	216 Lbs	6 ft3	No	No	No	4	Pro & Farm	6,500,000$	1,823,980$	6,500,000$	1,823,980$	No	6,500,000$	6,500,000$	6,500,000$			Lien / Lien NHL
Devon Toews	Senators	D	29	1994-02-21	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	4,100,000$	1,150,510$	4,100,000$	1,150,510$	No						Lien / Lien NHL
Frederick Gaudreau	Senators	C/LW	30	1993-05-01	No	178 Lbs	6 ft0	No	No	No	5	Pro & Farm	2,100,000$	589,286$	2,100,000$	589,286$	No	2,100,000$	2,100,000$	2,100,000$	2,100,000$		Lien / Lien NHL
Hugh McGing	Senators	C/LW	25	1998-07-11	No	169 Lbs	5 ft8	No	No	No	1	Pro & Farm	775,000$	217,474$	775,000$	217,474$	No						Lien / Lien NHL
Jack McBain	Senators	C/LW	23	2000-06-06	No	218 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,599,999$	448,979$	1,599,999$	448,979$	No	1,599,999$					Lien / Lien NHL
Jack Studnicka	Senators	C/RW	24	1999-02-18	No	172 Lbs	6 ft1	No	No	No	1	Pro & Farm	762,500$	213,967$	762,500$	213,967$	No						Lien / Lien NHL
John Beecher	Senators	C	22	2001-05-04	Yes	209 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	259,566$	925,000$	259,566$	No	925,000$					Lien
John Gibson	Senators	G	30	1993-07-14	No	216 Lbs	6 ft2	No	No	No	2	Pro & Farm	6,400,000$	1,795,918$	6,400,000$	1,795,918$	No	6,400,000$					Lien / Lien NHL
Joshua Roy	Senators	RW	20	2003-08-06	Yes	189 Lbs	6 ft0	No	No	No	3	Pro & Farm	835,000$	234,311$	835,000$	234,311$	No	835,000$	835,000$				Lien
Karel Vejmelka	Senators	G	27	1996-05-25	No	202 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,725,000$	764,668$	2,725,000$	764,668$	No	2,725,000$					Lien / Lien NHL
Kyle Connor	Senators	LW	26	1996-12-09	No	183 Lbs	6 ft1	No	No	No	3	Pro & Farm	7,142,857$	2,004,373$	7,142,857$	2,004,373$	No	7,142,857$	7,142,857$				Lien / Lien NHL
Matt Villalta	Senators	G	24	1999-03-06	Yes	169 Lbs	6 ft2	No	No	No	1	Pro & Farm	775,000$	217,474$	775,000$	217,474$	No						Lien
Matthew Coronato	Senators	RW	20	2002-11-14	Yes	183 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	259,566$	925,000$	259,566$	No	925,000$					Lien
Michael McLeod	Senators	C	25	1998-02-03	No	187 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,400,000$	392,857$	1,400,000$	392,857$	No						Lien / Lien NHL
Nikita Zadorov	Senators	D	28	1995-04-16	No	235 Lbs	6 ft6	No	No	No	1	Pro & Farm	3,750,000$	1,052,296$	3,750,000$	1,052,296$	No						Lien / Lien NHL
Ryan Graves	Senators	D	28	1995-05-21	No	220 Lbs	6 ft5	No	No	No	6	Pro & Farm	4,500,000$	1,262,755$	4,500,000$	1,262,755$	No	4,500,000$	4,500,000$	4,500,000$	4,500,000$	4,500,000$	Lien / Lien NHL
Ryan McDonagh	Senators	D	34	1989-06-13	No	213 Lbs	6 ft1	No	No	No	2	Pro & Farm	6,750,000$	1,894,133$	6,750,000$	1,894,133$	No	6,750,000$					Lien / Lien NHL
Ryan O'Reilly	Senators	C	32	1991-02-07	No	216 Lbs	6 ft1	No	No	No	4	Pro & Farm	4,500,000$	1,262,755$	4,500,000$	1,262,755$	No	4,500,000$	4,500,000$	4,500,000$			Lien / Lien NHL
Trey Fix-Wolansky	Senators	RW	24	1999-05-26	No	185 Lbs	5 ft8	No	No	No	2	Pro & Farm	775,000$	217,474$	775,000$	217,474$	No	775,000$					Lien / Lien NHL
Tyler Bertuzzi	Senators	RW	28	1995-02-24	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	5,500,000$	1,543,367$	5,500,000$	1,543,367$	No						Lien / Lien NHL
Tyler Motte	Senators	LW/RW	28	1995-03-10	No	192 Lbs	5 ft10	No	No	No	1	Pro & Farm	800,000$	224,490$	800,000$	224,490$	No						Lien / Lien NHL
Vincent Desharnais	Senators	D	27	1996-05-29	No	209 Lbs	6 ft6	No	No	No	1	Pro & Farm	762,500$	213,967$	762,500$	213,967$	No						Lien / Lien NHL
Warren Foegele	Senators	RW	27	1996-04-01	No	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,750,000$	771,684$	2,750,000$	771,684$	No						Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
25	26.68	198 Lbs	6 ft1	2.04	2,833,114$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
70,827,856$	45,677,856$	25,577,857$	17,600,000$	6,600,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kyle Connor	Ryan O'Reilly	Tyler Bertuzzi	40	1	1	3
2	Chris Kreider	Michael McLeod	Anthony Duclair	35	1	1	3
3	Jack McBain	Frederick Gaudreau	Warren Foegele	20	1	2	2
4	Tyler Motte	John Beecher	Joshua Roy	5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Ryan McDonagh	40	1	2	2
2	Ryan Graves	Nikita Zadorov	30	1	2	2
3	Vincent Desharnais	Caleb Jones	20	1	2	2
4	Devon Toews	Ryan McDonagh	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kyle Connor	Ryan O'Reilly	Anthony Duclair	60	0	1	4
2	Chris Kreider	Michael McLeod	Tyler Bertuzzi	40	0	1	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Ryan McDonagh	60	1	2	2
2	Nikita Zadorov	Ryan Graves	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Michael McLeod	Tyler Motte	60	1	2	2
2	John Beecher	Jack McBain	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Ryan McDonagh	60	1	2	2
2	Nikita Zadorov	Vincent Desharnais	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Michael McLeod	60	1	2	2	Devon Toews	Ryan McDonagh	60	1	2	2
2	John Beecher	40	1	2	2	Nikita Zadorov	Ryan Graves	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Michael McLeod	Jack McBain	60	1	2	2
2	John Beecher	Frederick Gaudreau	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Ryan Graves	60	1	2	2
2	Nikita Zadorov	Ryan McDonagh	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Chris Kreider	Ryan O'Reilly	Tyler Bertuzzi	Devon Toews	Ryan McDonagh

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jack McBain	Michael McLeod	Tyler Motte	Devon Toews	Ryan McDonagh

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Chris Kreider, Anthony Duclair, Ryan O'Reilly	Chris Kreider, Kyle Connor	Tyler Motte

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryan Graves, Nikita Zadorov, Devon Toews	Devon Toews	Nikita Zadorov, Devon Toews

Tirs de pénalité
Anthony Duclair, Frederick Gaudreau, Ryan O'Reilly, Chris Kreider, Kyle Connor

Gardien
#1 : John Gibson, #2 : Karel Vejmelka

Lignes d’attaque personnalisées en prolongation
Ryan O'Reilly, Tyler Bertuzzi, Chris Kreider, Kyle Connor, Anthony Duclair, Jack McBain, Jack McBain, Frederick Gaudreau, Tyler Motte, John Beecher, Warren Foegele

Lignes de défense personnalisées en prolongation
Ryan Graves, Devon Toews, Vincent Desharnais, Caleb Jones, Nikita Zadorov

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

	Total												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	Avalanche	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	2	0	1	0	28	9	4	15	0	30	9	4	23	3	0	0.00%	2	0	100.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	20	11	21	8	17	9
2	Blues	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	13	21	0	0	1	3	4	0	63	24	17	22	0	62	22	2	46	7	4	57.14%	1	0	100.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	47	28	38	15	33	18
3	Bruins	3	3	0	0	0	0	0	0	16	4	12	1	1	0	0	0	0	0	0	4	1	3	2	2	0	0	0	0	0	0	12	3	9	6	1.000	16	29	45	0	0	7	6	3	0	107	35	42	30	0	87	27	27	52	12	3	25.00%	6	0	100.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	67	40	61	26	51	26
4	Canadiens	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	3	6	9	0	0	0	3	0	0	40	11	19	10	0	37	12	6	28	3	1	33.33%	3	1	66.67%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	24	16	19	7	15	8
5	Canucks	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	6	8	14	0	0	0	3	3	0	55	14	18	23	0	59	24	10	53	5	2	40.00%	5	2	60.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	38	20	44	19	36	17
6	Capitals	2	1	0	0	0	0	0	1	4	4	0	2	1	0	0	0	0	0	1	4	4	0	0	0	0	0	0	0	0	0	0	0	0	3	0.750	4	7	11	0	0	2	2	0	1	69	36	23	10	4	50	22	12	51	6	1	16.67%	6	0	100.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	49	29	38	18	37	18
7	Devils	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	7	12	19	0	0	1	3	3	0	66	20	28	18	0	64	15	11	42	7	2	28.57%	3	0	100.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	45	27	38	17	35	17
8	Ducks	2	0	2	0	0	0	0	0	9	12	-3	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	9	15	24	1	0	0	5	4	0	66	18	23	25	0	57	18	4	45	7	3	42.86%	2	1	50.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	47	28	37	16	35	18
9	Flames	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	3	5	8	0	0	1	1	1	0	58	13	20	25	0	71	12	28	51	1	0	0.00%	9	2	77.78%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	39	21	45	19	35	16
10	Flyers	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	0	2	1	0	32	3	18	11	0	33	12	4	25	2	0	0.00%	2	1	50.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	20	11	20	8	18	9
11	Golden Knights	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	16	25	0	0	1	5	3	0	66	23	24	19	0	61	36	12	41	8	1	12.50%	6	3	50.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	46	27	38	17	35	18
12	Hurricanes	2	1	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	4	5	-1	2	0.500	4	5	9	0	0	1	1	2	0	49	16	19	14	0	62	22	18	41	7	3	42.86%	9	1	88.89%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	41	23	42	18	35	16
13	Islanders	3	0	2	0	1	0	0	0	7	8	-1	2	0	2	0	0	0	0	0	3	5	-2	1	0	0	0	1	0	0	0	4	3	1	2	0.333	7	10	17	0	0	2	2	2	1	94	24	31	38	1	84	29	31	59	5	0	0.00%	13	4	69.23%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	64	39	64	27	51	24
14	Jets	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	8	12	0	0	1	3	0	0	41	13	20	8	0	31	18	0	16	6	1	16.67%	0	0	0.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	22	13	22	8	14	8
15	Kings	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	6	3	3	4	1.000	10	17	27	0	0	2	5	3	0	52	15	22	15	0	75	19	15	39	6	1	16.67%	5	0	100.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	44	24	38	18	36	19
16	Kraken	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	6	9	15	0	0	1	4	1	0	66	21	31	14	0	60	23	8	39	4	1	25.00%	4	1	75.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	45	27	40	16	34	17
17	Lightning	3	0	3	0	0	0	0	0	5	15	-10	1	0	1	0	0	0	0	0	1	6	-5	2	0	2	0	0	0	0	0	4	9	-5	0	0.000	5	6	11	0	0	2	1	2	0	103	28	44	31	0	104	26	35	67	6	0	0.00%	10	4	60.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	65	38	64	27	50	23
18	Maple Leafs	2	1	0	0	0	0	1	0	6	4	2	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	6	9	15	0	0	0	4	1	1	58	9	30	19	3	59	26	20	33	11	0	0.00%	10	2	80.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	42	23	46	20	35	17
19	Oilers	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	8	15	23	0	0	2	3	3	0	58	20	18	20	0	69	17	25	50	4	1	25.00%	5	2	60.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	42	24	42	17	35	17
20	Panthers	2	1	1	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	5	1	4	2	0.500	7	12	19	0	0	2	3	2	0	58	21	12	25	0	63	20	10	33	8	1	12.50%	5	0	100.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	39	22	44	19	35	17
21	Penguins	2	1	0	0	0	0	0	1	5	4	1	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	5	7	12	0	0	1	2	2	0	42	14	9	19	3	74	23	19	41	5	0	0.00%	7	1	85.71%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	40	21	46	20	38	18
22	Predators	2	2	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	6	8	14	0	0	3	2	1	0	72	23	25	24	0	57	22	14	46	5	0	0.00%	7	2	71.43%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	46	28	37	17	35	19
23	Rangers	2	0	0	0	0	0	1	1	5	5	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	1	1	5	5	0	3	0.750	5	7	12	0	0	0	2	2	2	61	19	25	16	7	58	23	12	35	5	1	20.00%	6	0	100.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	39	21	50	21	39	19
24	Red Wings	2	0	1	0	1	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	1	0	0	0	2	1	1	2	0.500	4	5	9	0	0	1	2	0	1	59	25	19	14	1	61	17	8	31	3	0	0.00%	4	1	75.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	41	24	44	18	36	17
25	Sabres	2	1	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	5	2	3	2	0.500	6	11	17	0	0	0	3	3	0	74	18	30	26	0	50	18	6	47	5	1	20.00%	3	1	66.67%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	47	29	36	16	35	18
26	Sharks	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	0	2	1	0	29	10	8	11	0	33	10	10	15	4	2	50.00%	5	1	80.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	22	13	20	8	16	8
27	Stars	2	1	0	0	0	0	0	1	6	6	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	6	10	16	0	0	2	3	1	0	66	14	23	29	2	64	26	10	44	3	0	0.00%	5	1	80.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	42	23	46	17	35	17
28	Utah Hockey Club	2	1	0	0	1	0	0	0	10	7	3	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	16	26	0	0	3	2	4	1	74	22	29	22	1	58	16	29	47	2	1	50.00%	8	3	62.50%	1	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	45	26	40	17	34	17
29	Wild	2	1	0	0	0	0	1	0	5	3	2	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	5	8	13	0	0	3	0	1	1	76	22	29	24	6	55	20	10	40	9	1	11.11%	5	1	80.00%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	48	28	41	18	35	18
	Total	56	25	21	0	3	0	3	4	178	168	10	25	10	10	0	1	0	2	2	71	72	-1	31	15	11	0	2	0	1	2	107	96	11	66	0.589	178	290	468	1	0	41	77	54	8	1782	540	660	577	28	1728	584	400	1180	159	31	19.50%	156	35	77.56%	1	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	1231	714	1175	507	992	496
	_Since Last GM Reset	56	25	21	0	3	0	3	4	178	168	10	25	10	10	0	1	0	2	2	71	72	-1	31	15	11	0	2	0	1	2	107	96	11	66	0.589	178	290	468	1	0	41	77	54	8	1782	540	660	577	28	1728	584	400	1180	159	31	19.50%	156	35	77.56%	1	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	1231	714	1175	507	992	496
	_Vs Conference	29	11	11	0	2	0	2	3	82	77	5	13	3	7	0	0	0	1	2	28	37	-9	16	8	4	0	2	0	1	1	54	40	14	33	0.569	82	132	214	0	0	19	36	23	6	912	279	349	281	19	886	292	219	585	85	13	15.29%	87	16	81.61%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	631	367	619	269	517	254
	_Vs Division	15	6	7	0	1	0	1	0	47	45	2	6	1	4	0	0	0	1	0	14	21	-7	9	5	3	0	1	0	0	0	33	24	9	16	0.533	47	78	125	0	0	12	22	11	2	499	147	196	155	4	461	146	112	291	48	6	12.50%	41	9	78.05%	0	639	1159	55.13%	603	1123	53.70%	452	828	54.59%	329	194	318	137	260	129

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
56	66	W1	178	290	468	1782	1728	584	400	1180	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
56	25	21	3	0	3	4	178	168

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	10	10	1	0	2	2	71	72

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	15	11	2	0	1	2	107	96

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
7	2	0	0	0	1

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
159	31	19.50%	156	35	77.56%	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
540	660	577	28	41	77	54	8

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
639	1159	55.13%	603	1123	53.70%	452	828	54.59%

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
1231	714	1175	507	992	496

Derniers matchs 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
7 - 2024-10-06	13	Panthers	4	Senators	2	BL			Sommaire du match
9 - 2024-10-08	27	Senators	3	Canadiens	7	AL			Sommaire du match
11 - 2024-10-10	43	Kings	2	Senators	4	BW			Sommaire du match
14 - 2024-10-13	62	Devils	1	Senators	3	BW			Sommaire du match
16 - 2024-10-15	75	Lightning	6	Senators	1	BL			Sommaire du match
19 - 2024-10-18	104	Senators	5	Utah Hockey Club	3	AW			Sommaire du match
22 - 2024-10-21	118	Senators	5	Golden Knights	3	AW			Sommaire du match
24 - 2024-10-23	139	Senators	3	Avalanche	4	AL			Sommaire du match
26 - 2024-10-25	150	Blues	1	Senators	3	BW			Sommaire du match
29 - 2024-10-28	170	Senators	4	Rangers	3	AW	X	X	Sommaire du match
30 - 2024-10-29	178	Kraken	6	Senators	4	BL			Sommaire du match
33 - 2024-11-01	194	Senators	5	Sabres	2	AW			Sommaire du match
35 - 2024-11-03	209	Islanders	3	Senators	2	BL			Sommaire du match
37 - 2024-11-05	226	Senators	4	Bruins	2	AW			Sommaire du match
40 - 2024-11-08	245	Senators	2	Maple Leafs	1	AW			Sommaire du match
42 - 2024-11-10	258	Flyers	4	Senators	3	BL			Sommaire du match
44 - 2024-11-12	280	Senators	3	Hurricanes	1	AW			Sommaire du match
47 - 2024-11-15	294	Oilers	2	Senators	5	BW			Sommaire du match
49 - 2024-11-17	307	Golden Knights	3	Senators	4	BW			Sommaire du match
51 - 2024-11-19	323	Canucks	2	Senators	3	BW			Sommaire du match
53 - 2024-11-21	340	Flames	4	Senators	2	BL			Sommaire du match
55 - 2024-11-23	361	Senators	3	Sharks	5	AL			Sommaire du match
58 - 2024-11-26	382	Senators	6	Kings	3	AW			Sommaire du match
59 - 2024-11-27	392	Senators	4	Ducks	6	AL			Sommaire du match
63 - 2024-12-01	412	Red Wings	5	Senators	2	BL			Sommaire du match
65 - 2024-12-03	431	Predators	1	Senators	2	BW			Sommaire du match
66 - 2024-12-04	438	Islanders	2	Senators	1	BL			Sommaire du match
69 - 2024-12-07	458	Ducks	6	Senators	5	BL			Sommaire du match
71 - 2024-12-09	473	Senators	1	Hurricanes	4	AL			Sommaire du match
72 - 2024-12-10	478	Penguins	2	Senators	1	BL	X	X	Sommaire du match
75 - 2024-12-13	505	Senators	2	Kraken	3	AL			Sommaire du match
77 - 2024-12-15	517	Senators	1	Flames	6	AL			Sommaire du match
79 - 2024-12-17	537	Senators	3	Canucks	5	AL			Sommaire du match
80 - 2024-12-18	544	Senators	3	Oilers	6	AL			Sommaire du match
86 - 2024-12-24	574	Senators	4	Jets	1	AW			Sommaire du match
87 - 2024-12-25	583	Senators	2	Wild	1	AW			Sommaire du match
91 - 2024-12-29	608	Senators	3	Stars	4	AL	X	X	Sommaire du match
92 - 2024-12-30	617	Senators	5	Blues	3	AW			Sommaire du match
96 - 2025-01-03	642	Senators	2	Red Wings	1	AW	X		Sommaire du match
98 - 2025-01-05	654	Sabres	2	Senators	1	BL			Sommaire du match
100 - 2025-01-07	671	Senators	4	Penguins	2	AW			Sommaire du match
101 - 2025-01-08	685	Stars	2	Senators	3	BW			Sommaire du match
103 - 2025-01-10	699	Senators	4	Islanders	3	AW	X		Sommaire du match
105 - 2025-01-12	708	Capitals	3	Senators	2	BL	X	X	Sommaire du match
107 - 2025-01-14	723	Bruins	1	Senators	4	BW			Sommaire du match
108 - 2025-01-15	737	Senators	4	Devils	1	AW			Sommaire du match
110 - 2025-01-17	750	Senators	1	Rangers	2	AL	X	X	Sommaire du match
112 - 2025-01-19	761	Senators	8	Bruins	1	AW			Sommaire du match
114 - 2025-01-21	780	Maple Leafs	3	Senators	4	BW	X	X	Sommaire du match
115 - 2025-01-22	790	Utah Hockey Club	4	Senators	5	BW	X		Sommaire du match
119 - 2025-01-26	814	Capitals	1	Senators	2	BW			Sommaire du match
121 - 2025-01-28	828	Wild	2	Senators	3	BW	X	X	Sommaire du match
123 - 2025-01-30	844	Senators	4	Predators	3	AW			Sommaire du match
124 - 2025-01-31	847	Senators	2	Lightning	4	AL			Sommaire du match
126 - 2025-02-02	862	Senators	2	Lightning	5	AL			Sommaire du match
128 - 2025-02-04	880	Senators	5	Panthers	1	AW			Sommaire du match
142 - 2025-02-18	901	Canadiens	-	Senators	-
146 - 2025-02-22	930	Jets	-	Senators	-
149 - 2025-02-25	954	Sharks	-	Senators	-
151 - 2025-02-27	967	Senators	-	Capitals	-
153 - 2025-03-01	984	Senators	-	Blackhawks	-
156 - 2025-03-04	1003	Rangers	-	Senators	-
158 - 2025-03-06	1022	Red Wings	-	Senators	-
159 - 2025-03-07	1027	Senators	-	Flyers	-
161 - 2025-03-09	1041	Bruins	-	Senators	-
163 - 2025-03-11	1059	Senators	-	Maple Leafs	-
166 - 2025-03-14	1078	Senators	-	Canadiens	-
168 - 2025-03-16	1089	Avalanche	-	Senators	-
170 - 2025-03-18	1113	Senators	-	Devils	-
173 - 2025-03-21	1129	Senators	-	Sabres	-
175 - 2025-03-23	1144	Senators	-	Red Wings	-
177 - 2025-03-25	1164	Blue Jackets	-	Senators	-
178 - 2025-03-26	1174	Senators	-	Penguins	-
180 - 2025-03-28	1184	Sabres	-	Senators	-
182 - 2025-03-30	1198	Lightning	-	Senators	-
184 - 2025-04-01	1210	Panthers	-	Senators	-
185 - 2025-04-02	1224	Blue Jackets	-	Senators	-
187 - 2025-04-04	1239	Senators	-	Blue Jackets	-
190 - 2025-04-07	1260	Canadiens	-	Senators	-
192 - 2025-04-09	1276	Flyers	-	Senators	-
194 - 2025-04-11	1293	Blackhawks	-	Senators	-
196 - 2025-04-13	1309	Hurricanes	-	Senators	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	20	200
Assistance	137,751	117,609	47,439	95,466	23,203
Attendance PCT	91.83%	94.09%	94.88%	95.47%	92.81%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
16	16859 - 93.66%	592,455$	14,811,380$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
50,952,747$	70,827,856$	70,827,857$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
70,827,856$	50,952,747$	0$	25	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
9,479,283$	55	361,367$	19,875,185$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
19,875,185$	-660,091,264$	-670,487,166$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
70,827,856$	12,672,144$	83,500,000$	9,127,856$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Chris Kreider	AGE:32	PO:86	OV:0
Kyle Connor	AGE:26	PO:84	OV:0
Jack McBain	AGE:23	PO:70	OV:0
Tyler Motte	AGE:28	PO:68	OV:0
Frederick Gaudreau	AGE:30	PO:67	OV:0
Hugh McGing	AGE:25	PO:61	OV:0

Ryan O'Reilly	AGE:32	PO:81	OV:0
Michael McLeod	AGE:25	PO:75	OV:0
Jack McBain	AGE:23	PO:70	OV:0
John Beecher (R)	AGE:22	PO:68	OV:0
Frederick Gaudreau	AGE:30	PO:67	OV:0
Jack Studnicka	AGE:24	PO:64	OV:0
Hugh McGing	AGE:25	PO:61	OV:0

Anthony Duclair	AGE:28	PO:77	OV:0
Warren Foegele	AGE:27	PO:75	OV:0
Tyler Bertuzzi	AGE:28	PO:74	OV:0
Joshua Roy (R)	AGE:20	PO:70	OV:0
Tyler Motte	AGE:28	PO:68	OV:0
Trey Fix-Wolansky	AGE:24	PO:68	OV:0
Matthew Coronato (R)	AGE:20	PO:65	OV:0
Jack Studnicka	AGE:24	PO:64	OV:0

Défense #1

Défense #2

Gardien

Devon Toews	AGE:29	PO:73	OV:0
Ryan McDonagh	AGE:34	PO:67	OV:0
Ryan Graves	AGE:28	PO:65	OV:0
Nikita Zadorov	AGE:28	PO:64	OV:0

Vincent Desharnais	AGE:27	PO:63	OV:0
Caleb Jones	AGE:26	PO:62	OV:0
Maksymilian Szuber (R)	AGE:21	PO:54	OV:0

John Gibson	AGE:30	PO:67	OV:0
Karel Vejmelka	AGE:27	PO:65	OV:0
Yaniv Perets (R)	AGE:23	PO:62	OV:0
Matt Villalta (R)	AGE:24	PO:57	OV:0

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Lien
1 ballo ott 2024	Senators
Alban Eriksson	Senators	2018	68
Andrei Buyalsky	Senators	2021	108
Anthony Angello	Senators			Lien
Anton Stralman	Senators			Lien
Arnaud Durandeau	Senators			Lien
Brad Malone	Senators			Lien
Calle Clang	Senators	2020	63
Cameron O'Neill	Senators	2022	157
Chase Clark	Senators	2021	170
Chase Yoder	Senators	2020	182
Denver Barkey	Senators	2023	100
Derek Grant	Senators			Lien
Dylan Garand	Senators	2020	89
Dylan Wells	Senators			Lien
Evgenii Kashnikov	Senators	2021	204
Filip Eriksson	Senators	2023	164
Gavin White	Senators	2022	113
Harrison Blaisdell	Senators	2019	145
Jake Chiasson	Senators	2021	122
Jake Furlong	Senators	2022	145
Jake Schmaltz	Senators	2019	207
Jakub Dobes	Senators	2020	120
Jeremy Hanzel	Senators	2023	196
Jett Woo	Senators	2018	45
Joaquim Lemay	Senators	2021	124
Joel Ratkovic Berndtsson	Senators	2022	209
Joey Keane	Senators			Lien
Jonathan Castagna	Senators	2023	85
Jonathan Toews	Senators			Lien
Jonny Tychonick	Senators	2018	53
Jordan Gross	Senators			Lien
Justin Schutz	Senators	2018	179
Karl Henriksson	Senators	2019	83
Marcel Marcel	Senators	2023	132
Mason Millman	Senators	2019	114
Matvei Michkov	Senators	2023	4
Matyas Sapovaliv	Senators	2022	47
Nathan Gaucher	Senators	2022	17
Nikita Quapp	Senators	2021	172
Niklas Kokko	Senators	2022	49
Pavel Koltygin	Senators	2017	186
Quinn Finley	Senators	2022	81
Roope Laavainen	Senators	2017	148
Tanner Laczynski	Senators			Lien
Theo Wallberg	Senators	2022	177
Tij Iginla	Senators	2024	9
Tristan Broz	Senators	2021	76
Viljami Marjala	Senators	2021	160
Vladislav Firstov	Senators	2019	52
Will Cranley	Senators	2020	151
Will Francis	Senators	2019	176
Yegor Zavragin	Senators	2023	68

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2025	OTT	OTT	DET OTT	OTT DET	CBJ OTT	ANA CBJ OTT	OTT CBJ
2026	OTT	OTT	OTT	OTT	OTT	OTT	OTT
2027	OTT	OTT	OTT	OTT	OTT	OTT	OTT
2028	OTT	OTT	OTT	OTT	OTT	OTT	OTT
2029	OTT	OTT	OTT	OTT	OTT	OTT	OTT

Senators Historique de transactions

[2024-10-27 21:00:31] - Ryan McDonagh has been selected as assistant for Senators.
[2024-10-27 21:00:31] - Ryan O'Reilly is no longer as assistant for Senators.
[2024-10-27 21:00:31] - Chris Kreider has been selected as assistant for Senators.
[2024-10-27 21:00:31] - Ryan McDonagh is no longer as assistant for Senators.
[2024-10-27 21:00:31] - Ryan O'Reilly has been selected as captain for Senators.
[2024-10-27 21:00:31] - Unknown Player is no longer captain for Senators.
[2024-09-28 22:25:36] - Michael McLeod was added to Senators.
[2024-09-28 22:25:36] - Senators claimed Michael McLeod from waivers by Hurricanes for 0 $.
[2024-09-28 22:25:30] - Senators show interest in Michael McLeod from waiver.
[2024-07-15 15:21:20] - Yaniv Perets was added to Senators.
[2024-07-07 22:26:23] - TRADE : From Senators to Blue Jackets : Y:2024-RND:5-OTT, Y:2024-RND:6-OTT, Y:2024-RND:7-OTT.
[2024-07-07 22:26:23] - TRADE : From Blue Jackets to Senators : Y:2025-RND:5-CBJ, Y:2025-RND:6-CBJ, Y:2025-RND:7-CBJ.
[2024-07-07 22:25:50] - TRADE : From Senators to Red Wings : Y:2024-RND:3-OTT, Y:2024-RND:4-OTT.
[2024-07-07 22:25:50] - TRADE : From Red Wings to Senators : Y:2025-RND:3-DET, Y:2025-RND:4-DET.
[2024-07-01 22:43:53] - Senators drafts Tij Iginla as the #9 overall pick in the Entry Draft of year 2024.

[2025-02-17 10:15:04] Current fund for Senators is under 0 $.
[2025-02-17 10:14:07] Binghamton lines for next game are empty. Current rosters/lines are not erased.
[2025-02-17 10:14:04] Binghamton lines for next game are empty. Current rosters/lines are not erased.
[2025-02-16 16:39:48] Current fund for Senators is under 0 $.
[2025-02-16 16:39:37] Binghamton lines for next game are empty. Current rosters/lines are not erased.
[2025-02-12 14:21:52] Current fund for Senators is under 0 $.
[2025-02-12 14:21:38] Both Senators and Binghamton lines for next game are empty. Current rosters/lines are not erased.
[2025-02-12 14:21:37] Pro Game #880 - Chris Kreider from Senators has scored a Hat Trick!
[2025-02-07 14:28:35] Current fund for Senators is under 0 $.
[2025-02-06 14:26:56] Current fund for Senators is under 0 $.
[2025-02-06 14:26:44] Senators lines for next game are empty. Current rosters/lines are not erased.
[2025-02-05 15:33:49] Current fund for Senators is under 0 $.
[2025-02-05 15:33:38] Binghamton lines for next game are empty. Current rosters/lines are not erased.
[2025-02-05 15:23:43] Current fund for Senators is under 0 $.
[2025-02-04 12:21:28] Current fund for Senators is under 0 $.
[2025-02-04 12:21:16] Senators lines for next game are empty. Current rosters/lines are not erased.
[2025-02-04 12:21:13] Both Senators and Binghamton lines for next game are empty. Current rosters/lines are not erased.
[2025-02-03 13:41:34] Current fund for Senators is under 0 $.
[2025-02-03 13:41:11] Senators lines for next game are empty. Current rosters/lines are not erased.
[2025-02-01 22:18:02] Current fund for Senators is under 0 $.
[2025-02-01 22:17:44] Senators lines for next game are empty. Current rosters/lines are not erased.
[2025-01-30 20:08:56] Current fund for Senators is under 0 $.
[2025-01-30 20:08:46] Binghamton lines for next game are empty. Current rosters/lines are not erased.
[2025-01-30 20:08:42] Binghamton lines for next game are empty. Current rosters/lines are not erased.

Pas de blessure ou de suspension.

Senators Leaders statistiques (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Senators Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Senators Statistiques de l'Équipe de Carrière

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	Total											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

Senators Leaders statistiques (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Senators Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Senators
	GP: 56 \| W: 31 \| L: 21 \| OTL: 4 \| P: 66 GF: 178 \| GA: 168 \| PP%: 19.50% \| PK%: 77.56% DG: Tim Gaudreau \| Morale : 50 \| Moyenne d’équipe : N/A Prochains matchs #901 vs Canadiens