Super Ligue Simulé 2 - Schedule Pro Flyers

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Philip Tomasino	0	LW/RW	100.00	73	43	93	78	67	70	90	77	54	80	70	61	63	57	58	73	50	0	21	863,333$/2yrs
Bo Horvat (C)	0	C	100.00	69	43	92	87	77	85	92	91	98	80	92	75	61	76	76	85	50	0	27	5,500,000$/1yrs
Jake Guentzel	0	LW/RW	100.00	76	43	83	86	66	84	94	93	44	82	91	63	41	69	71	84	50	0	27	6,000,000$/2yrs
Johnny Gaudreau (A)	0	LW	100.00	57	39	90	92	59	81	98	88	25	88	77	63	53	75	76	78	50	0	29	9,750,000$/7yrs
Lars Eller	0	C/LW	100.00	76	44	84	79	76	68	95	61	92	62	62	81	61	82	87	69	50	0	33	3,500,000$/1yrs
Ilya Mikheyev	0	LW/RW	100.00	61	42	98	88	74	75	67	69	31	76	79	73	25	62	63	77	50	0	27	4,750,000$/4yrs
Jack Hughes	0	C/LW	100.00	59	40	97	87	63	84	81	85	61	90	95	64	63	64	64	85	50	0	21	8,000,000$/8yrs
Phillip Danault	0	C	100.00	75	54	78	84	74	78	98	77	96	81	73	77	53	71	73	77	50	0	29	5,500,000$/5yrs
Keegan Kolesar	0	RW	100.00	99	96	74	75	82	61	93	61	35	62	60	69	25	63	64	67	50	0	25	1,400,000$/3yrs
Brandon Saad (A)	0	LW/RW	100.00	61	42	94	80	75	74	92	76	44	70	78	75	35	79	84	76	50	0	29	4,500,000$/4yrs
Jean-Gabriel Pageau	0	C	100.00	90	45	93	84	65	77	91	78	98	79	71	83	25	74	77	79	50	0	29	5,000,000$/4yrs
Tanner Jeannot	0	LW/RW	100.00	99	99	62	81	80	67	96	61	39	63	58	80	25	61	62	69	50	0	25	800,000$/1yrs
Matthew Benning	0	D	100.00	78	44	89	72	74	80	88	65	25	64	47	94	25	70	72	67	50	0	28	1,250,000$/4yrs
Cody Ceci	0	D	100.00	82	45	90	78	78	80	96	59	25	53	47	91	25	77	79	65	50	0	28	3,250,000$/3yrs
Jakob Chychrun	0	D	100.00	76	44	82	84	78	87	65	85	25	72	60	77	63	68	68	72	50	0	24	4,600,000$/3yrs
Michael Anderson	0	D	100.00	86	45	84	77	69	84	84	60	25	54	48	87	25	62	63	65	50	0	23	925,000$/1yrs
MacKenzie Weegar	0	D	99.00	88	56	84	84	73	82	98	68	25	65	48	81	25	67	68	68	50	0	28	3,250,000$/1yrs
Rasmus Ristolainen	0	D	100.00	87	46	87	86	83	78	87	65	25	57	48	88	75	75	75	66	50	0	27	5,100,000$/5yrs
Scratches
Anthony Richard	0	LW/RW	100.00	84	44	86	63	66	56	89	65	33	62	74	61	25	56	56	70	50	0	25	750,000$/1yrs

	TEAM AVERAGE		99.95	78	50	86	81	73	76	89	73	47	71	67	76	42	69	70	73	50	0

Show or Hide Column

Filter Tips

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

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Juuse Saros	0	100.00	85	95	91	63	83	88	85	86	87	86	94	65	66	86	50	0	27	5,000,000$/3yrs
Scott Wedgewood	0	99.00	73	59	59	71	79	67	84	71	79	73	59	60	60	73	50	0	30	1,000,000$/1yrs
Scratches
Magnus Hellberg	0	100.00	60	58	56	83	65	54	69	61	65	60	75	46	46	62	50	0	31	750,000$/1yrs

	TEAM AVERAGE	99.67	73	71	69	72	76	70	79	73	77	73	76	57	57	74	50	0

Farm

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Benoit-Olivier Groulx	0	C	100.00	75	73	81	67	73	74	78	62	78	58	61	64	58	45	45	64	60	0	22	822,500$/2yrs
Mason Shaw (R)	0	C/LW	100.00	80	99	64	67	67	59	80	61	52	63	62	78	25	51	51	67	60	0	23	750,000$/1yrs
Quinton Byfield	0	C/LW	100.00	75	44	83	79	81	67	77	70	48	78	57	65	75	56	57	67	60	0	20	894,167$/1yrs
Calen Addison	0	D	100.00	61	40	89	81	63	69	77	87	25	69	48	64	25	54	55	64	60	0	22	795,000$/1yrs
Marcus Bjork (R)	0	D	100.00	79	44	66	67	76	75	81	76	25	58	50	75	25	47	47	63	60	0	24	925,000$/1yrs
Samuel Bolduc (R)	0	D	100.00	80	45	95	65	80	65	82	66	25	45	53	65	25	45	45	61	60	0	21	925,000$/1yrs
Nikita Okhotiuk (R)	0	D	100.00	67	71	56	67	71	62	66	48	25	39	42	57	40	45	45	51	60	0	22	905,000$/2yrs
Drew Helleson (R)	0	D	100.00	77	77	78	69	77	58	61	48	25	40	41	62	39	44	44	53	60	0	21	925,000$/3yrs
Pierre-Olivier Joseph	0	D	100.00	77	44	83	72	70	67	87	66	25	55	49	69	25	56	56	62	60	0	23	825,000$/2yrs
Scratches

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Akira Schmid	0	100.00	71	61	59	86	78	64	99	72	78	71	90	46	46	74	60	0	22	850,833$/2yrs
Scratches

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

General Manager
Tim Gaudreau

Player Stats

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	EG	HT	P/20	PSG
1	Bo Horvat	Flyers	0	C	22	8	15	23	4	2	0	26	69	32	51	11.59%	7	20.44	3	4	7	54	1	0	1	19	1	2	56.45%	519	16	9	0	1.02	1	6
2	Jake Guentzel	Flyers	0	LW/RW	22	6	12	18	4	12	0	23	93	21	49	6.45%	10	17.77	1	5	6	58	0	1	1	6	0	1	37.50%	24	25	7	0	0.92	0	0
3	Johnny Gaudreau	Flyers	0	LW	22	10	8	18	0	4	0	15	74	18	47	13.51%	6	19.25	4	4	8	54	0	0	0	0	2	0	26.32%	19	19	10	0	0.85	0	0
4	Brandon Saad	Flyers	0	LW/RW	22	4	10	14	3	7	5	17	62	20	48	6.45%	7	14.07	0	1	1	48	0	0	0	0	0	0	60.00%	10	13	2	0	0.90	0	0
5	Philip Tomasino	Flyers	0	LW/RW	22	4	7	11	2	0	0	23	30	10	13	13.33%	10	16.09	0	0	0	7	0	0	0	24	3	0	29.41%	17	11	5	0	0.62	1	6
6	Ilya Mikheyev	Flyers	0	LW/RW	22	8	3	11	2	0	0	11	46	9	28	17.39%	7	12.49	0	0	0	3	0	0	0	0	2	2	14.29%	7	16	3	0	0.80	0	0
7	Jakob Chychrun	Flyers	0	D	22	2	7	9	-1	13	5	42	34	11	11	5.88%	29	22.75	1	2	3	61	0	0	0	0	0	0	0.00%	0	6	25	0	0.36	0	0
8	MacKenzie Weegar	Flyers	0	D	22	2	6	8	2	21	5	59	36	16	18	5.56%	30	27.03	1	4	5	61	0	0	0	49	0	0	0.00%	0	6	29	0	0.27	0	0
9	Lars Eller	Flyers	0	C/LW	22	2	6	8	3	18	0	30	24	12	14	8.33%	11	15.13	0	0	0	5	1	1	2	47	1	0	57.63%	236	6	5	0	0.48	0	0
10	Jack Hughes	Flyers	0	C/LW	22	3	5	8	1	0	0	15	67	18	48	4.48%	7	18.82	2	0	2	44	0	0	0	2	0	0	34.62%	26	23	2	0	0.39	1	6
11	Phillip Danault	Flyers	0	C	22	4	3	7	2	8	0	53	63	15	27	6.35%	13	17.25	0	1	1	48	0	0	0	21	0	0	55.31%	320	13	3	0	0.37	0	0
12	Rasmus Ristolainen	Flyers	0	D	22	0	6	6	1	6	0	36	18	12	11	0.00%	30	20.71	0	1	1	44	0	1	1	13	0	0	0.00%	0	4	10	0	0.26	1	1
13	Jean-Gabriel Pageau	Flyers	0	C	22	3	3	6	-5	0	0	7	31	7	25	9.68%	4	10.50	0	0	0	0	1	1	2	59	0	0	52.87%	157	10	1	0	0.52	0	0
14	Matthew Benning	Flyers	0	D	22	0	3	3	1	6	0	22	14	8	6	0.00%	26	20.47	0	0	0	45	0	0	0	41	0	0	0.00%	0	3	14	0	0.13	0	0
15	Cody Ceci	Flyers	0	D	22	1	2	3	-2	2	0	18	13	6	8	7.69%	23	15.96	0	0	0	3	0	1	1	60	0	0	0.00%	0	2	18	0	0.17	0	0
16	Tanner Jeannot	Flyers	0	LW/RW	22	0	2	2	-7	18	10	24	21	5	12	0.00%	6	8.71	0	0	0	0	0	0	0	21	0	0	0.00%	1	6	3	0	0.21	0	0
17	Michael Anderson	Flyers	0	D	22	0	1	1	-1	10	0	24	8	9	2	0.00%	20	14.43	0	0	0	2	0	0	0	37	0	0	0.00%	0	1	9	0	0.06	0	0
18	Keegan Kolesar	Flyers	0	RW	22	1	0	1	-6	29	15	19	13	3	8	7.69%	4	7.57	0	0	0	0	0	0	0	0	1	0	0.00%	2	1	2	0	0.12	0	0
Team Total or Average				396	58	99	157	3	156	40	464	716	232	426	8.10%	250	16.63	12	22	34	543	3	5	8	405	10	5	54.11%	1338	181	157	0	0.48	4	19

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Juuse Saros	Flyers	16	9	4	3	0.925	2.26	955	0	36	482	231	3	0	0.625	8	16	6	0	4	4
2	Scott Wedgewood	Flyers	7	3	2	1	0.907	2.76	392	0	18	194	100	0	0	0.778	9	6	16	1	0	0
Team Total or Average		23	12	6	4	0.920	2.40	1348	0	54	676	331	3	0	0.706	17	22	22	1	4	4

Show or Hide Column

Filter Tips

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

#	VS Team	GP	W	L	OTW	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	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	GF%	SH%	SV%	PDO	PDOBRK
1	Ducks	2	2	0	0	0	0	5	2	3	4	1.000	5	8	13	0	3	2	0	65	16	21	28	0	62	39	13	39	4	0	0.00%	4	1	75.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	43	27	41	17	34	17	83.3%	7.7%	96.8%	104.5	DULL
2	Islanders	2	1	1	0	0	0	7	6	1	2	0.500	7	10	17	0	2	5	0	71	12	17	42	0	65	22	12	31	7	0	0.00%	6	1	83.33%	1	277	510	54.31%	283	500	56.60%	164	312	52.56%	45	27	41	17	32	17	58.3%	9.9%	90.8%	100.6	FUN
3	Canucks	1	0	0	1	0	0	2	1	1	2	1.000	2	3	5	0	1	0	1	35	11	15	8	1	29	10	2	20	2	0	0.00%	1	0	100.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	23	14	18	9	18	8	66.7%	5.7%	96.6%	102.3	DULL
4	Stars	1	0	1	0	0	0	1	3	-2	0	0.000	1	1	2	1	0	0	0	27	9	4	14	0	29	11	0	18	7	0	0.00%	0	0	0.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	23	14	19	8	16	9	25.0%	3.7%	89.7%	93.4	Unlucky
5	Oilers	1	0	1	0	0	0	1	3	-2	0	0.000	1	2	3	0	1	0	0	24	8	8	8	0	28	3	10	23	2	0	0.00%	5	1	80.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	21	11	18	9	19	9	33.3%	4.2%	89.3%	93.5	Unlucky
6	Sabres	2	1	0	1	0	0	7	4	3	4	1.000	7	12	19	1	2	3	1	63	18	27	17	1	69	16	19	46	5	3	60.00%	7	0	100.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	40	22	43	19	36	17	50.0%	11.1%	94.2%	105.3	LUCKY
7	Sharks	1	0	0	0	1	0	5	4	1	2	1.000	5	8	13	3	1	0	3	36	15	15	6	3	29	10	19	20	7	3	42.86%	2	0	100.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	24	14	21	10	19	9	33.3%	13.9%	86.2%	100.1	FUN
8	Rangers	1	0	0	0	0	1	1	2	-1	1	0.500	1	2	3	0	1	0	0	30	10	12	8	3	30	6	5	23	3	1	33.33%	0	0	0.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	22	12	22	9	20	10	0.0%	3.3%	93.3%	96.7	DULL
9	Blue Jackets	2	2	0	0	0	0	8	3	5	4	1.000	8	15	23	1	2	5	0	70	22	24	24	0	68	24	8	33	7	1	14.29%	4	0	100.00%	1	277	510	54.31%	283	500	56.60%	164	312	52.56%	39	22	45	18	35	17	70.0%	11.4%	95.6%	107.0	LUCKY
10	Wild	1	1	0	0	0	0	3	1	2	2	1.000	3	5	8	3	0	0	0	23	13	4	6	0	13	9	2	32	2	1	50.00%	1	0	100.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	22	12	19	9	18	9	66.7%	13.0%	92.3%	105.4	LUCKY
11	Senators	1	0	0	0	0	1	3	4	-1	1	0.500	3	4	7	1	1	1	0	31	11	12	7	4	25	12	6	15	5	0	0.00%	3	0	100.00%	1	277	510	54.31%	283	500	56.60%	164	312	52.56%	25	15	20	9	18	9	42.9%	9.7%	84.0%	93.7	FUN
12	Kings	2	0	1	0	1	0	5	6	-1	2	0.500	5	7	12	1	1	2	1	74	21	27	26	4	67	25	19	53	2	0	0.00%	7	1	85.71%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	44	25	43	19	36	18	50.0%	6.8%	91.0%	97.8	Unlucky
13	Hurricanes	3	1	1	0	0	1	8	9	-1	3	0.500	8	16	24	0	6	2	0	111	36	44	31	3	89	35	22	70	10	3	30.00%	11	4	63.64%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	70	42	61	26	52	27	50.0%	7.2%	89.9%	97.1	Unlucky
14	Golden Knights	2	0	1	0	0	1	4	10	-6	1	0.250	4	6	10	1	1	2	0	56	25	13	18	3	73	28	19	41	2	0	0.00%	7	2	71.43%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	46	27	43	18	35	16	33.3%	7.1%	86.3%	93.4	Unlucky
	_Vs Division	8	4	2	0	0	2	24	20	4	10	0.625	24	43	67	1	11	12	0	282	80	97	105	6	252	87	47	157	27	5	18.52%	21	5	76.19%	2	277	510	54.31%	283	500	56.60%	164	312	52.56%	178	105	170	72	141	72	55.9%	8.5%	92.1%	100.6	DULL
	_Vs Conference	11	5	2	1	0	3	34	28	6	15	0.682	34	59	93	3	14	16	1	376	109	136	129	11	346	115	72	218	37	8	21.62%	31	5	83.87%	3	277	510	54.31%	283	500	56.60%	164	312	52.56%	243	142	235	100	196	99	53.1%	9.0%	91.9%	101.0	LUCKY
	_Since Last GM Reset	22	8	6	2	2	4	60	58	2	28	0.636	60	99	159	12	22	22	6	716	227	243	243	22	676	250	156	464	65	12	18.46%	58	10	82.76%	3	277	510	54.31%	283	500	56.60%	164	312	52.56%	493	289	460	202	396	199	50.0%	8.4%	91.4%	99.8	DULL
	Total	22	8	6	2	2	4	60	58	2	28	0.636	60	99	159	12	22	22	6	716	227	243	243	22	676	250	156	464	65	12	18.46%	58	10	82.76%	3	277	510	54.31%	283	500	56.60%	164	312	52.56%	493	289	460	202	396	199	50.0%	8.4%	91.4%	99.8	DULL

	Puck Time
Offensive Zone	22
Neutral Zone	18
Defensive Zone	20

	Puck Time
Offensive Zone Start	510
Neutral Zone Start	312
Defensive Zone Start	500

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	724
Faceoffs Lost	598

	Team Average Shots after	League Average Shots after
1st Period	10.3	9.57
2nd Period	21.4	20.31
3rd Period	32.4	30.68
Overtime	33.4	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.5	0.64
2nd Period	1.5	1.65
3rd Period	2.5	2.67
Overtime	2.8	2.83


Even Strenght Goal	45
PP Goal	12
PK Goal	3
Empty Net Goal	0

	Home	Away
Win	7	5
Lost	2	4
Overtime Lost	2	2


PP Attempt	65
PP Goal	12
PK Attempt	58
PK Goal Against	10

	Home
Shots For	32.5
Shots Against	30.7
Goals For	2.7
Goals Against	2.6
Hits	21.1
Shots Blocked	11.4
Pim	7.1

Cap Hit


	Projected Total Cap Hit	81,438,333$
	Projected Cap Space	1,061,667$
	Retains And Buyout Cap Hit	0$
	Salary Cap To Date	21,207,900$
	Players In Salary Cap	22
	LTIR Players	0

Flyers Roster	Pos	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27	2027-28	2028-29	2029-30	2030-31
Anthony Richard	LW/RW	25	750,000$	750,000$
Bo Horvat	C	27	5,500,000$	5,500,000$
Brandon Saad	LW/RW	29	4,500,000$	4,500,000$	4,500,000$	4,500,000$	4,500,000$
Cody Ceci	D	28	3,250,000$	3,250,000$	3,250,000$	3,250,000$
Ilya Mikheyev	LW/RW	27	4,750,000$	4,750,000$	4,750,000$	4,750,000$	4,750,000$
Jack Hughes	C/LW	21	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$
Jake Guentzel	LW/RW	27	6,000,000$	6,000,000$	6,000,000$
Jakob Chychrun	D	24	4,600,000$	4,600,000$	4,600,000$	4,600,000$
Jean-Gabriel Pageau	C	29	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$
Johnny Gaudreau	LW	29	9,750,000$	9,750,000$	9,750,000$	9,750,000$	9,750,000$	9,750,000$	9,750,000$	9,750,000$
Juuse Saros	G	27	5,000,000$	5,000,000$	5,000,000$	5,000,000$
Keegan Kolesar	RW	25	1,400,000$	1,400,000$	1,400,000$	1,400,000$
Lars Eller	C/LW	33	3,500,000$	3,500,000$
MacKenzie Weegar	D	28	3,250,000$	3,250,000$
Magnus Hellberg	G	31	750,000$	750,000$
Matthew Benning	D	28	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$
Michael Anderson	D	23	925,000$	925,000$
Philip Tomasino	LW/RW	21	863,333$	863,333$	863,333$
Phillip Danault	C	29	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$
Rasmus Ristolainen	D	27	5,100,000$	5,100,000$	5,100,000$	5,100,000$	5,100,000$	5,100,000$
Scott Wedgewood	G	30	1,000,000$	1,000,000$
Tanner Jeannot	LW/RW	25	800,000$	800,000$

Lines

Forward Lines
#0 - Johnny Gaudreau	#0 - Bo Horvat	#0 - Jack Hughes
#0 - Philip Tomasino	#0 - Phillip Danault	#0 - Jake Guentzel
#0 - Ilya Mikheyev	#0 - Lars Eller	#0 - Brandon Saad
#0 - Tanner Jeannot	#0 - Jean-Gabriel Pageau	#0 - Keegan Kolesar

Defensive Pairings
#0 - Jakob Chychrun	#0 - MacKenzie Weegar
#0 - Rasmus Ristolainen	#0 - Matthew Benning
#0 - Cody Ceci	#0 - Michael Anderson

1st Power Play Unit
#0 - Johnny Gaudreau		#0 - Bo Horvat		#0 - Jake Guentzel
#0 - Jakob Chychrun			#0 - MacKenzie Weegar

2nd Power Play Unit
#0 - Jack Hughes		#0 - Phillip Danault		#0 - Brandon Saad
#0 - Rasmus Ristolainen			#0 - Matthew Benning

Goalies

Team Stats

Show or Hide Column

Filter Tips

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

#	VS Team	GP	W	L	OTW	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	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	GF%	SH%	SV%	PDO	PDOBRK
1	Ducks	2	2	0	0	0	0	5	2	3	4	1.000	5	8	13	0	3	2	0	65	16	21	28	0	62	39	13	39	4	0	0.00%	4	1	75.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	43	27	41	17	34	17	83.3%	7.7%	96.8%	104.5	DULL
2	Islanders	2	1	1	0	0	0	7	6	1	2	0.500	7	10	17	0	2	5	0	71	12	17	42	0	65	22	12	31	7	0	0.00%	6	1	83.33%	1	277	510	54.31%	283	500	56.60%	164	312	52.56%	45	27	41	17	32	17	58.3%	9.9%	90.8%	100.6	FUN
3	Canucks	1	0	0	1	0	0	2	1	1	2	1.000	2	3	5	0	1	0	1	35	11	15	8	1	29	10	2	20	2	0	0.00%	1	0	100.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	23	14	18	9	18	8	66.7%	5.7%	96.6%	102.3	DULL
4	Stars	1	0	1	0	0	0	1	3	-2	0	0.000	1	1	2	1	0	0	0	27	9	4	14	0	29	11	0	18	7	0	0.00%	0	0	0.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	23	14	19	8	16	9	25.0%	3.7%	89.7%	93.4	Unlucky
5	Oilers	1	0	1	0	0	0	1	3	-2	0	0.000	1	2	3	0	1	0	0	24	8	8	8	0	28	3	10	23	2	0	0.00%	5	1	80.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	21	11	18	9	19	9	33.3%	4.2%	89.3%	93.5	Unlucky
6	Sabres	2	1	0	1	0	0	7	4	3	4	1.000	7	12	19	1	2	3	1	63	18	27	17	1	69	16	19	46	5	3	60.00%	7	0	100.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	40	22	43	19	36	17	50.0%	11.1%	94.2%	105.3	LUCKY
7	Sharks	1	0	0	0	1	0	5	4	1	2	1.000	5	8	13	3	1	0	3	36	15	15	6	3	29	10	19	20	7	3	42.86%	2	0	100.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	24	14	21	10	19	9	33.3%	13.9%	86.2%	100.1	FUN
8	Rangers	1	0	0	0	0	1	1	2	-1	1	0.500	1	2	3	0	1	0	0	30	10	12	8	3	30	6	5	23	3	1	33.33%	0	0	0.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	22	12	22	9	20	10	0.0%	3.3%	93.3%	96.7	DULL
9	Blue Jackets	2	2	0	0	0	0	8	3	5	4	1.000	8	15	23	1	2	5	0	70	22	24	24	0	68	24	8	33	7	1	14.29%	4	0	100.00%	1	277	510	54.31%	283	500	56.60%	164	312	52.56%	39	22	45	18	35	17	70.0%	11.4%	95.6%	107.0	LUCKY
10	Wild	1	1	0	0	0	0	3	1	2	2	1.000	3	5	8	3	0	0	0	23	13	4	6	0	13	9	2	32	2	1	50.00%	1	0	100.00%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	22	12	19	9	18	9	66.7%	13.0%	92.3%	105.4	LUCKY
11	Senators	1	0	0	0	0	1	3	4	-1	1	0.500	3	4	7	1	1	1	0	31	11	12	7	4	25	12	6	15	5	0	0.00%	3	0	100.00%	1	277	510	54.31%	283	500	56.60%	164	312	52.56%	25	15	20	9	18	9	42.9%	9.7%	84.0%	93.7	FUN
12	Kings	2	0	1	0	1	0	5	6	-1	2	0.500	5	7	12	1	1	2	1	74	21	27	26	4	67	25	19	53	2	0	0.00%	7	1	85.71%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	44	25	43	19	36	18	50.0%	6.8%	91.0%	97.8	Unlucky
13	Hurricanes	3	1	1	0	0	1	8	9	-1	3	0.500	8	16	24	0	6	2	0	111	36	44	31	3	89	35	22	70	10	3	30.00%	11	4	63.64%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	70	42	61	26	52	27	50.0%	7.2%	89.9%	97.1	Unlucky
14	Golden Knights	2	0	1	0	0	1	4	10	-6	1	0.250	4	6	10	1	1	2	0	56	25	13	18	3	73	28	19	41	2	0	0.00%	7	2	71.43%	0	277	510	54.31%	283	500	56.60%	164	312	52.56%	46	27	43	18	35	16	33.3%	7.1%	86.3%	93.4	Unlucky
	_Vs Division	8	4	2	0	0	2	24	20	4	10	0.625	24	43	67	1	11	12	0	282	80	97	105	6	252	87	47	157	27	5	18.52%	21	5	76.19%	2	277	510	54.31%	283	500	56.60%	164	312	52.56%	178	105	170	72	141	72	55.9%	8.5%	92.1%	100.6	DULL
	_Vs Conference	11	5	2	1	0	3	34	28	6	15	0.682	34	59	93	3	14	16	1	376	109	136	129	11	346	115	72	218	37	8	21.62%	31	5	83.87%	3	277	510	54.31%	283	500	56.60%	164	312	52.56%	243	142	235	100	196	99	53.1%	9.0%	91.9%	101.0	LUCKY
	_Since Last GM Reset	22	8	6	2	2	4	60	58	2	28	0.636	60	99	159	12	22	22	6	716	227	243	243	22	676	250	156	464	65	12	18.46%	58	10	82.76%	3	277	510	54.31%	283	500	56.60%	164	312	52.56%	493	289	460	202	396	199	50.0%	8.4%	91.4%	99.8	DULL
	Total	22	8	6	2	2	4	60	58	2	28	0.636	60	99	159	12	22	22	6	716	227	243	243	22	676	250	156	464	65	12	18.46%	58	10	82.76%	3	277	510	54.31%	283	500	56.60%	164	312	52.56%	493	289	460	202	396	199	50.0%	8.4%	91.4%	99.8	DULL

	Puck Time
Offensive Zone	22
Neutral Zone	18
Defensive Zone	20

	Puck Time
Offensive Zone Start	510
Neutral Zone Start	312
Defensive Zone Start	500

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	724
Faceoffs Lost	598

	Team Average Shots after	League Average Shots after
1st Period	10.3	9.57
2nd Period	21.4	20.31
3rd Period	32.4	30.68
Overtime	33.4	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.5	0.64
2nd Period	1.5	1.65
3rd Period	2.5	2.67
Overtime	2.8	2.83


Even Strenght Goal	45
PP Goal	12
PK Goal	3
Empty Net Goal	0

	Home	Away
Win	7	5
Lost	2	4
Overtime Lost	2	2


PP Attempt	65
PP Goal	12
PK Attempt	58
PK Goal Against	10

	Home
Shots For	32.5
Shots Against	30.7
Goals For	2.7
Goals Against	2.6
Hits	21.1
Shots Blocked	11.4
Pim	7.1

Schedule

Date	Matchup			Result	Detail
2023-10-08	Flyers	@	Blue Jackets	Flyers4,Blue Jackets1	RECAP
2023-10-10	Flyers	@	Senators	Flyers3,Senators4 (SO)	RECAP
2023-10-13	Canucks	@	Flyers	Canucks1,Flyers2 (OT)	RECAP
2023-10-15	Oilers	@	Flyers	Oilers3,Flyers1	RECAP
2023-10-17	Flyers	@	Stars	Flyers1,Stars3	RECAP
2023-10-20	Flyers	@	Golden Knights	Flyers1,Golden Knights6	RECAP
2023-10-22	Wild	@	Flyers	Wild1,Flyers3	RECAP
2023-10-24	Ducks	@	Flyers	Ducks1,Flyers2	RECAP
2023-10-26	Hurricanes	@	Flyers	Hurricanes2,Flyers3	RECAP
2023-10-28	Sabres	@	Flyers	Sabres2,Flyers3 (OT)	RECAP
2023-10-30	Flyers	@	Sabres	Flyers4,Sabres2	RECAP
2023-10-31	Kings	@	Flyers	Kings2,Flyers3 (SO)	RECAP
2023-11-03	Flyers	@	Sharks	Flyers5,Sharks4 (SO)	RECAP
2023-11-06	Flyers	@	Ducks	Flyers3,Ducks1	RECAP
2023-11-07	Flyers	@	Kings	Flyers2,Kings4	RECAP
2023-11-11	Flyers	@	Hurricanes	Flyers2,Hurricanes3 (SO)	RECAP
2023-11-14	Golden Knights	@	Flyers	Golden Knights4,Flyers3 (SO)	RECAP
2023-11-15	Blue Jackets	@	Flyers	Blue Jackets2,Flyers4	RECAP
2023-11-18	Flyers	@	Islanders	Flyers2,Islanders3	RECAP
2023-11-20	Rangers	@	Flyers	Rangers2,Flyers1 (SO)	RECAP
2023-11-21	Flyers	@	Islanders	Flyers5,Islanders3	RECAP
2023-11-24	Hurricanes	@	Flyers	Hurricanes4,Flyers3	RECAP
2023-11-26	Devils	@	Flyers
2023-11-28	Flyers	@	Penguins
2023-11-30	Penguins	@	Flyers
2023-12-03	Flyers	@	Coyotes
2023-12-05	Flyers	@	Avalanche
2023-12-08	Flyers	@	Predators
2023-12-10	Capitals	@	Flyers
2023-12-12	Red Wings	@	Flyers
2023-12-15	Flyers	@	Devils
2023-12-17	Predators	@	Flyers
2023-12-18	Flyers	@	Red Wings
2023-12-24	Flyers	@	Canucks
2023-12-25	Flyers	@	Kraken
2023-12-27	Flyers	@	Flames
2023-12-29	Flyers	@	Oilers
2023-12-31	Blue Jackets	@	Flyers
2024-01-02	Flames	@	Flyers
2024-01-04	Penguins	@	Flyers
2024-01-06	Canadiens	@	Flyers
2024-01-08	Flyers	@	Wild
2024-01-09	Flyers	@	Jets
2024-01-11	Flyers	@	Blues
2024-01-14	Stars	@	Flyers
2024-01-16	Avalanche	@	Flyers
2024-01-17	Senators	@	Flyers
2024-01-19	Lightning	@	Flyers
2024-01-21	Flyers	@	Red Wings
2024-01-23	Bruins	@	Flyers
2024-02-02	Flyers	@	Panthers
2024-02-04	Jets	@	Flyers
2024-02-06	Kraken	@	Flyers
2024-02-08	Coyotes	@	Flyers
2024-02-11	Flyers	@	Maple Leafs
2024-02-13	Flyers	@	Devils
2024-02-17	Flyers	@	Blackhawks
2024-02-20	Rangers	@	Flyers
2024-02-21	Flyers	@	Penguins
2024-02-23	Lightning	@	Flyers
2024-02-26	Flyers	@	Capitals
2024-02-27	Senators	@	Flyers
2024-02-29	Blues	@	Flyers
2024-03-03	Flyers	@	Panthers
2024-03-05	Flyers	@	Lightning
2024-03-08	Sharks	@	Flyers
2024-03-10	Maple Leafs	@	Flyers
2024-03-12	Flyers	@	Bruins
2024-03-15	Maple Leafs	@	Flyers
2024-03-17	Flyers	@	Hurricanes
2024-03-19	Bruins	@	Flyers
2024-03-20	Panthers	@	Flyers
2024-03-22	Flyers	@	Rangers
2024-03-24	Flyers	@	Canadiens
2024-03-26	Blackhawks	@	Flyers
2024-03-28	Islanders	@	Flyers
2024-04-01	Flyers	@	Sabres
2024-04-02	Flyers	@	Blue Jackets
2024-04-05	Flyers	@	Canadiens
2024-04-07	Flyers	@	Rangers
2024-04-09	Devils	@	Flyers
2024-04-12	Capitals	@	Flyers

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
81,438,333$	0$	81,438,333$	1,061,667$

Arena	Goal Horn	About us
		Name	Wells Fargo Center
		City	Philadelphie
		Capacity	18000
		Season Ticket Holders	40%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100$	60$	35$	25$	200$
Attendance	62081	50940	20467	41201	10166
Attendance PCT	94.06%	92.62%	93.03%	93.64%	92.42%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
30	16805 - 93.36%	604,771$	6,652,477$	18000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
81,438,333$	81,438,333$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
21,207,900$	81,438,333$	21,207,900$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
18,143,119$	142	424,158$	60,230,436$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
65,507,794$	81,438,333$	-505,689,556$	-553,054,231$

Depth Chart

Star Player

Franchise Player

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Johnny Gaudreau	AGE:29	USA
Jack Hughes	AGE:21	USA
Jake Guentzel	AGE:27	USA
Ilya Mikheyev	AGE:27	RUS
Brandon Saad	AGE:29	USA
Lars Eller	AGE:33	DEN
Quinton Byfield	AGE:20	ONT
Philip Tomasino	AGE:21	ONT
Tanner Jeannot	AGE:25	SKW
Anthony Richard	AGE:25	QUE
Mason Shaw	AGE:23	AB

Jack Hughes	AGE:21	USA
Bo Horvat	AGE:27	ONT
Phillip Danault	AGE:29	QUE
Jean-Gabriel Pageau	AGE:29	ONT
Lars Eller	AGE:33	DEN
Quinton Byfield	AGE:20	ONT
Benoit-Olivier Groulx	AGE:22	FRA
Mason Shaw	AGE:23	AB

Jake Guentzel	AGE:27	USA
Ilya Mikheyev	AGE:27	RUS
Brandon Saad	AGE:29	USA
Keegan Kolesar	AGE:25	MAN
Philip Tomasino	AGE:21	ONT
Tanner Jeannot	AGE:25	SKW
Anthony Richard	AGE:25	QUE

Defense #1

Defense #2

Goalie

Rasmus Ristolainen	AGE:27	FIN
Jakob Chychrun	AGE:24	USA
Cody Ceci	AGE:28	ONT
MacKenzie Weegar	AGE:28	ONT
Matthew Benning	AGE:28	AB
Michael Anderson	AGE:23	USA

Marcus Bjork	AGE:24	SWE
Samuel Bolduc	AGE:21	QUE
Drew Helleson	AGE:21	USA
Nikita Okhotiuk	AGE:22	RUS
Pierre-Olivier Joseph	AGE:23	QUE
Calen Addison	AGE:22	MAN

Juuse Saros	AGE:27	FIN
Scott Wedgewood	AGE:30	ONT
Akira Schmid	AGE:22	SWI
Magnus Hellberg	AGE:31	SWE

Draft Picks

Year	Ronde 1	Ronde 2	Ronde 3	Ronde 4	Ronde 5	Ronde 6	Ronde 7
2024
2025
2026
2027
2028

** Conditional Draft Pick That Have Been Traded

Prospects

Show or Hide Column

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick	Lien
1 ballo phi 2023	Flyers
Adam Edstrom	Flyers	2019	172
Aidan Thompson	Flyers	2022	106
Ales Stezka	Flyers
Alex Gagne	Flyers	2021	192
Alexander Ljungkrantz	Flyers	2020	101
Ben Meehan	Flyers	2020	145
Brandon Halverson	Flyers
Brett Harrison	Flyers	2021	96
Brian Boyle	Flyers			Link
Calvin Thurkauf	Flyers
Cameron MacDonald	Flyers	2021	160
Cody Eakin	Flyers			Link
Colby Williams	Flyers
Connor Bunnaman	Flyers			Link
Dawson Barteaux	Flyers	2018	180
Dominic Turgeon	Flyers
Dylan Roobroeck	Flyers	2023	188
Gabriel Fontaine	Flyers	2016	164
Gunnarwolfe Fontaine	Flyers	2020	194
Hunter Haight	Flyers	2022	74
Ivan Chukarov	Flyers
JC Beaudin	Flyers
Jachym Kondelik	Flyers	2018	118
Jacob Leguerrier	Flyers	2019	110
Jaedon Descheneau	Flyers
Jesper Vikman	Flyers	2020	132
Jordan Subban	Flyers
Joren Van Pottelberghe	Flyers
Justin Gill	Flyers	2023	141
Logan Neaton	Flyers	2019	141
Lucas Wallmark	Flyers			Link
Maxim Barbashev	Flyers	2022	170
Nathan Noel	Flyers	2016	104
Nicholas Vantassell	Flyers	2023	220
Nikita Soshnikov	Flyers			Link
Nolan Vesey	Flyers
Parker Foo	Flyers
Patrick Guay	Flyers	2022	138
Pavel Shen	Flyers	2018	211
Remi Poirier	Flyers	2020	187
Rinat Valiev	Flyers
Roman Kantserov	Flyers	2023	60
Santeri Sulku	Flyers	2022	202
Sean Day	Flyers			Link
Stefan Matteau	Flyers			Link
Sven Baertschi	Flyers			Link
Tanner Kaspick	Flyers	2016	134
Vasily Ponomarev	Flyers	2020	67
Yegor Sidorov	Flyers	2023	92
Yegor Yegorov	Flyers	2023	156
Zachary Sawchenko	Flyers			Link

News

Brandon Saad has been selected as assistant for Flyers.

Johnny Gaudreau has been selected as assistant for Flyers.

Jake Guentzel is no longer as assistant for Flyers.

TRADE : From Flyers to Kings : William Nylander.

TRADE : From Kings to Flyers : Johnny Gaudreau, Marcus Bjork, Y:2025-RND:3-LAK.

TRADE : From Flyers to Bruins : Steven Stamkos, Y:2024-RND:4-TOR.

TRADE : From Bruins to Flyers : Philip Tomasino, Pierre-Olivier Joseph, Tanner Jeannot, Brandon Saad, Y:2024-RND:1-BOS.

Flyers drafts Nicholas Vantassell as the #220 overall pick in the Entry Draft of year 2023.

Flyers drafts Dylan Roobroeck as the #188 overall pick in the Entry Draft of year 2023.

Flyers drafts Yegor Yegorov as the #156 overall pick in the Entry Draft of year 2023.

Flyers drafts Justin Gill as the #141 overall pick in the Entry Draft of year 2023.

TRADE : From Flyers to Maple Leafs : Y:2023-RND:4-PHI.

TRADE : From Maple Leafs to Flyers : Y:2024-RND:4-TOR.

Flyers drafts Yegor Sidorov as the #92 overall pick in the Entry Draft of year 2023.

Flyers drafts Roman Kantserov as the #60 overall pick in the Entry Draft of year 2023.

TRADE : From Flyers to Canadiens : Teuvo Teravainen, Pheonix Copley, Drew Commesso (P).

TRADE : From Canadiens to Flyers : Steven Stamkos, Scott Wedgewood.

TRADE : From Flyers to Hurricanes : Anthony Beauvillier.

TRADE : From Hurricanes to Flyers : Jack Hughes, Y:2025-RND:2-CAR.

TRADE : From Flyers to Hurricanes : Jeremy Swayman, John Carlson, Travis Dermott, Nicolas Aube-Kubel, Y:2023-RND:1-PHI, Y:2025-RND:1-PHI, Y:2024-RND:3-PHI.

Injuries

No Injury or Suspension.

Game Center

Flyers12-6-4, 28pts

53Final

Islanders14-7-0, 28pts

Hurricanes10-9-2, 22pts

43Final

Flyers12-6-4, 28pts

Devils9-10-1, 19pts

Sun, Nov 26Wells Fargo Center

Flyers12-6-4, 28pts

Tue, Nov 28PPG Paints Arena

Penguins10-10-1, 21pts

Thu, Nov 30Wells Fargo Center

Flyers12-6-4, 28pts

Team Leaders

	GOALS Johnny Gaudreau 10			ASSISTS Bo Horvat 15
	POINTS Bo Horvat 23			PLUS/MINUS Bo Horvat 4
	WINS Juuse Saros 9			SV% Juuse Saros 0.925

Team Stats

Goals For 60 2.73 GFG	Shots For 716 32.55 Avg	Power Play Percentage 18.5% 12 GF	Offensive Zone Start 50.5%
Goals Against 58 2.64 GAA	Shots Against 676 30.73 Avg	Penalty Kill Percentage 82.8% 10 GA	Defensive Zone Start 49.5%

Team Info


	General Manager	Tim Gaudreau
	Head Coach
	Conference	Conference Est
	Division	Metropolitain

Flyers Affiliation


	Team Name	Philadelphie
	City	Philadelphie
	Head Coach
	Division	Division 2

Arena Info


	Stadium	Wells Fargo Center
	Capacity	18,000
	Attendance	16,805
	Season Tickets	7,200

Salary Cap


	Total Cap Hit	81,438,333$
	Cap Hit Percentage	98.71%
	Projected Cap Space	1,061,667$
	Retains & Buyout	0$

Finance


	Team Revenue	6,652,477$
	Estimated Revenue	24,795,596$
	Estimated Expenses	81,438,336$
	Operating Income	-56,642,740$
	Bank Account	-505,689,556$

Team History


	2023	12-6-4 (28PTS)
	Record (W-L-OTL)	191-120-39 (421PTS)
	Playoff Appearances	2
	Playoff Record (W-L)	23-18
	Stanley Cup	1