Toronto
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	Marlies 50-24-8, 108pts	3	FINAL	0	Cabaret Lady Mary Ann 30-39-13, 73pts

Team Stats
W2	Streak	L6
28-9-4	Home Record	14-20-7
22-15-4	Home Record	16-19-6
8-2-0	Last 10 Games	2-8-0
2.40	Goals Per Game	1.98
1.93	Goals Against Per Game	2.41
12.55%	Power Play Percentage	13.08%
84.58%	Penalty Kill Percentage	81.72%

Marlies
50-24-8, 108pts

FINAL

Thunder
9-66-7, 25pts

Team Stats
W2	Streak	L3
28-9-4	Home Record	6-31-4
22-15-4	Home Record	3-35-3
8-2-0	Last 10 Games	0-9-1
2.40	Goals Per Game	2.04
1.93	Goals Against Per Game	4.34
12.55%	Power Play Percentage	9.41%
84.58%	Penalty Kill Percentage	75.84%

Team Leaders
	Goals Dylan Guenther 37	Assists David Gustafsson 39

	Points Dylan Guenther 66	Plus/Minus Dylan Guenther 30

	Wins Daniil Tarasov 50	Save Percentage Olle Eriksson Ek 0.929

Team Stats
Goals For 197 2.40 GFG	Shots For 1803 21.99 Avg	Power Play Percentage 12.6% 31 GF	Offensive Zone Start 40.9%
Goals Against 158 1.93 GAA	Shots Against 1458 17.78 Avg	Penalty Kill Percentage 84.6%% 33 GA	Defensive Zone Start 38.1%

Team Info
	General Manager	Patrick Pellegrino
	Division	Atlantique
	Conference	Est
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	6,000
	Attendance	3,828
	Season Tickets	600
Roster Info
	Pro Team	26
	Farm Team	21
	Contract Limit	47 / 50
	Prospects	13

Show or Hide Columns

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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Arthur Kaliyev		X	X		100.00	70	47	84	75	87	82	78	81	40	74	73	67	76	59	52	0	50	72	0	21	1	925,000$
2	Jakub Vrana		X			100.00	61	43	78	75	77	84	77	74	40	65	72	63	73	77	67	0	50	69	0	26	2	3,700,000$
3	David Gustafsson	X	X			100.00	68	45	82	72	81	76	73	67	69	64	59	68	67	61	54	0	50	66	0	22	2	885,000$
4	Brett Leason			X		100.00	66	47	84	70	90	80	71	70	40	63	65	63	69	56	50	0	50	66	0	23	2	775,000$
5	Dylan Guenther (R)			X		100.00	60	40	75	71	73	78	64	69	40	67	65	62	69	51	50	0	50	65	0	19	3	894,167$
6	Will Cuylle (R)		X			100.00	67	56	62	67	68	60	61	65	42	62	62	64	65	50	50	0	50	62	0	20	3	828,333$
7	Cole Schwindt (R)	X		X		100.00	64	49	71	71	64	64	64	63	54	61	58	62	64	50	50	0	50	61	0	21	2	870,000$
8	Tyler Madden (R)	X				100.00	53	43	72	72	53	64	64	63	53	59	60	53	65	51	50	0	50	60	0	22	2	925,000$
9	Jan Jenik (R)	X				100.00	56	54	60	70	57	61	59	62	47	61	55	56	62	50	50	0	50	59	0	22	2	795,000$
10	Riley Damiani (R)	X				100.00	53	44	68	69	57	63	63	63	58	62	57	51	63	51	50	0	50	59	0	22	2	803,333$
11	Fabian Lysell (R)			X		100.00	56	40	63	67	59	57	57	62	42	62	58	54	62	50	50	0	50	59	0	19	3	894,167$
12	Albin Eriksson (R)		X			100.00	47	50	96	59	77	46	64	32	52	27	29	43	34	50	50	0	50	45	0	22	2	825,000$
13	Jalen Chatfield				X	100.00	71	55	70	77	72	79	76	73	40	65	65	77	71	58	52	0	50	70	0	26	1	750,000$
14	Dylan Samberg				X	100.00	73	57	72	72	83	77	71	68	40	63	59	78	66	56	50	0	50	69	0	23	1	925,000$
15	Kevin Bahl (R)				X	100.00	71	58	64	68	89	78	71	67	40	64	60	72	65	57	52	0	50	68	0	22	2	795,000$
16	Lucas Johansen				X	100.00	59	45	71	69	62	63	62	59	40	55	54	63	61	53	50	0	50	60	0	24	1	775,000$
17	Xavier Bernard (R)				X	100.00	62	40	68	62	68	60	59	57	40	54	54	60	58	51	50	0	50	59	0	22	2	650,000$
18	Austin Strand				X	100.00	57	52	62	58	69	66	65	60	40	52	52	55	57	54	50	0	50	58	0	25	1	750,000$
Scratches
1	Ryan Suzuki (R)	X				100.00	57	45	68	68	62	61	60	61	57	59	56	54	61	50	50	0	50	59	0	21	2	894,167$
2	Karl Henriksson (R)	X				100.00	59	40	70	67	59	62	63	60	41	57	55	57	61	50	50	0	50	58	0	21	3	870,000$
3	Ozzy Wiesblatt (R)			X		100.00	61	40	66	68	62	60	60	59	41	56	55	60	61	50	50	0	50	58	0	20	3	835,833$
4	Samuel Helenius (R)	X				100.00	68	64	60	60	70	56	54	57	54	55	51	59	56	50	50	0	50	57	0	19	3	828,333$
5	Kody Clark (R)			X		100.00	53	52	53	58	55	57	53	53	40	52	51	52	53	50	50	0	50	53	0	22	2	808,333$

	TEAM AVERAGE					100.00	61	48	70	68	69	67	65	63	46	59	58	61	63	54	51	0	50	61

Show or Hide Columns

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Daniil Tarasov (R)	100.00	76	69	66	80	72	71	70	69	72	71	69	56	51	0	50	66	0	23	1	825,000$
2	Olle Eriksson Ek (R)	100.00	66	60	59	66	64	62	63	60	63	63	55	52	50	0	50	58	0	23	1	900,000$
Scratches
1	Zachary Emond (R)	100.00	41	39	48	73	40	40	49	48	42	43	28	44	40	0	50	44	0	22	1	600,000$

	TEAM AVERAGE	100.00	61	56	58	73	59	58	61	59	59	59	51	51	47	0	50	56

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

Show or Hide Columns

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Dylan Guenther	Marlies (Tor)	RW	82	37	29	66	30	32	107	132	215	54	160	17.21%	6	1626	19.84	2	9	11	43	203	0	0	0	5	85	11	3	47.06%	187	0	0	0.81	4	7	9	5	8
2	David Gustafsson	Marlies (Tor)	C/LW	82	24	39	63	19	22	108	205	213	53	164	11.27%	17	1806	22.03	5	7	12	34	207	0	1	1	7	182	7	2	62.58%	1638	1	0	0.70	2	10	10	2	4
3	Brett Leason	Marlies (Tor)	RW	82	32	31	63	19	18	95	126	240	79	150	13.33%	18	1887	23.02	4	5	9	37	218	2	0	2	5	186	6	1	46.00%	537	1	1	0.67	3	10	8	5	5
4	Kevin Bahl	Marlies (Tor)	D	82	16	34	50	19	52	187	94	113	32	68	14.16%	73	1812	22.11	8	6	14	61	223	0	0	0	0	144	0	3	0%	0	0	0	0.55	0	0	2	8	7
5	Cole Schwindt	Marlies (Tor)	C/RW	82	16	25	41	23	34	128	197	137	50	109	11.68%	11	1507	18.38	4	1	5	23	194	0	0	0	0	30	4	1	54.40%	1340	0	0	0.54	0	0	2	4	8
6	Will Cuylle	Marlies (Tor)	LW	82	13	23	36	18	60	143	98	144	35	105	9.03%	16	1586	19.35	2	6	8	13	193	0	0	0	2	87	3	1	51.02%	98	0	0	0.45	0	2	0	4	4
7	Riley Damiani	Marlies (Tor)	C	82	10	18	28	21	26	47	80	114	27	76	8.77%	8	1510	18.42	2	1	3	12	179	0	0	0	0	8	3	1	54.66%	236	0	0	0.37	0	0	0	4	2
8	Jalen Chatfield	Marlies (Tor)	D	62	8	19	27	0	28	116	79	44	16	32	18.18%	51	1200	19.36	1	1	2	10	26	0	0	0	2	132	4	1	100.00%	1	0	0	0.45	0	0	5	1	3
9	Tyler Madden	Marlies (Tor)	C	82	9	14	23	4	6	40	148	128	43	95	7.03%	6	1394	17.01	0	2	2	4	51	0	0	0	1	23	2	1	52.91%	1153	0	1	0.33	0	0	1	1	4
10	Fabian Lysell	Marlies (Tor)	RW	82	1	20	21	17	30	87	51	42	20	33	2.38%	28	1467	17.89	0	3	3	23	177	0	0	0	0	0	0	0	60.00%	5	0	0	0.29	0	0	1	0	2
11	Jan Jenik	Marlies (Tor)	C	82	7	13	20	-3	26	98	105	108	33	69	6.48%	4	1320	16.10	0	0	0	4	25	0	0	0	0	29	1	0	46.90%	145	0	0	0.30	0	0	3	1	0
12	Ozzy Wiesblatt	Marlies (Tor)	RW	63	7	9	16	-4	20	73	76	84	21	53	8.33%	10	1062	16.87	0	1	1	1	12	0	0	0	1	53	2	0	51.43%	70	0	0	0.30	0	0	1	8	0
13	Xavier Bernard	Marlies (Tor)	D	82	2	13	15	25	22	83	35	34	13	32	5.88%	55	1747	21.31	0	2	2	9	200	0	0	0	0	140	1	0	0%	0	0	0	0.17	0	0	1	0	0
14	Ryan Suzuki	Marlies (Tor)	C	75	3	11	14	17	32	101	31	54	16	25	5.56%	41	1371	18.29	1	3	4	29	181	0	0	0	0	0	1	0	0%	0	0	0	0.20	0	0	1	0	1
15	Jakub Vrana	Marlies (Tor)	LW	7	2	9	11	7	6	9	11	19	4	9	10.53%	1	126	18.01	1	3	4	4	10	0	0	0	0	12	0	0	60.00%	5	0	0	1.75	1	1	0	1	0
16	Karl Henriksson	Marlies (Tor)	C	75	1	10	11	4	18	83	30	16	5	7	6.25%	37	1192	15.90	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0.18	0	0	0	0	1
17	Arthur Kaliyev	Marlies (Tor)	LW/RW	19	3	5	8	-4	6	35	33	75	14	37	4.00%	1	365	19.23	0	3	3	7	14	0	0	0	1	32	1	0	38.89%	18	0	0	0.44	1	1	0	1	1
18	Dylan Samberg	Marlies (Tor)	D	62	1	3	4	-3	18	21	14	4	3	7	25.00%	9	239	3.86	1	1	2	1	10	0	0	0	1	27	1	0	0%	0	0	0	0.33	0	0	0	0	0
19	Lucas Johansen	Marlies (Tor)	D	62	1	2	3	2	2	10	12	8	4	12	12.50%	19	373	6.02	0	1	1	2	48	0	0	0	1	145	0	0	40.00%	5	0	0	0.16	0	0	0	0	0
20	Austin Strand	Marlies (Tor)	D	62	1	1	2	7	4	8	6	8	3	2	12.50%	4	197	3.18	0	0	0	0	4	0	0	0	0	35	0	0	0%	0	0	0	0.20	0	0	0	0	0
21	Albin Eriksson	Marlies (Tor)	LW	7	0	1	1	0	0	1	1	0	0	1	0%	0	63	9.00	0	0	0	0	0	0	0	0	0	0	0	0	75.00%	4	0	0	0.32	0	0	0	0	0
Team Total or Average				1396	194	329	523	218	462	1580	1564	1800	525	1246	10.78%	415	23858	17.09	31	55	86	317	2184	2	1	3	26	1357	47	14	55.15%	5442	2	2	0.44	11	31	44	45	50

Show or Hide Columns

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	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Daniil Tarasov	Marlies (Tor)	82	50	23	8	0.897	1.80	4879	4	15	146	1415	2	1	0.516	31	82	0	5	6	2
2	Olle Eriksson Ek	Marlies (Tor)	4	0	1	0	0.929	1.86	97	0	0	3	42	1	0	0	0	0	82	0	0	0
Team Total or Average			86	50	24	8	0.898	1.80	4977	4	15	149	1457	3	1		31	82	82	5	6	2

Show or Hide Columns

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	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Albin Eriksson	Marlies (Tor)	LW	22	2000-07-20	Yes	205 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	825,000$	0$	0$	No	825,000$		Link
Arthur Kaliyev	Marlies (Tor)	LW/RW	21	2001-06-26	No	210 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link
Austin Strand	Marlies (Tor)	D	25	1997-02-17	No	216 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	750,000$	0$	0$	No			Link
Brett Leason	Marlies (Tor)	RW	23	1999-04-30	No	218 Lbs	6 ft5	No	No	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$		Link
Cole Schwindt	Marlies (Tor)	C/RW	21	2001-04-25	Yes	183 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	870,000$	0$	0$	No	870,000$		Link
Daniil Tarasov	Marlies (Tor)	G	23	1999-03-27	Yes	196 Lbs	6 ft5	No	No	No	No	1	Pro & Farm	825,000$	0$	0$	No			Link
David Gustafsson	Marlies (Tor)	C/LW	22	2000-04-11	No	212 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	885,000$	0$	0$	No	885,000$		Link
Dylan Guenther	Marlies (Tor)	RW	19	2003-04-10	Yes	175 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$
Dylan Samberg	Marlies (Tor)	D	23	1999-01-24	No	219 Lbs	6 ft4	No	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link
Fabian Lysell	Marlies (Tor)	RW	19	2003-01-19	Yes	172 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$
Jakub Vrana	Marlies (Tor)	LW	26	1996-02-28	No	190 Lbs	6 ft0	No	No	Yes	Yes	2	Pro & Farm	3,700,000$	0$	0$	No	3,700,000$		Link
Jalen Chatfield	Marlies (Tor)	D	26	1996-05-15	No	188 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	750,000$	0$	0$	No			Link
Jan Jenik	Marlies (Tor)	C	22	2000-09-15	Yes	161 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	795,000$	0$	0$	No	795,000$		Link
Karl Henriksson	Marlies (Tor)	C	21	2001-02-05	Yes	176 Lbs	5 ft9	No	No	No	No	3	Pro & Farm	870,000$	0$	0$	No	870,000$	870,000$	Link
Kevin Bahl	Marlies (Tor)	D	22	2000-06-27	Yes	230 Lbs	6 ft6	No	No	No	No	2	Pro & Farm	795,000$	0$	0$	No	795,000$		Link
Kody Clark	Marlies (Tor)	RW	22	1999-10-13	Yes	188 Lbs	6 ft3	No	No	No	No	2	Pro & Farm	808,333$	0$	0$	No	808,333$		Link
Lucas Johansen	Marlies (Tor)	D	24	1997-11-16	No	181 Lbs	6 ft2	No	No	Yes	Yes	1	Pro & Farm	775,000$	0$	0$	No			Link
Olle Eriksson Ek	Marlies (Tor)	G	23	1999-06-22	Yes	190 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	900,000$	0$	0$	No			Link
Ozzy Wiesblatt	Marlies (Tor)	RW	20	2002-03-09	Yes	183 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	835,833$	0$	0$	No	835,833$	835,833$
Riley Damiani	Marlies (Tor)	C	22	2000-03-20	Yes	170 Lbs	5 ft10	No	No	No	No	2	Pro & Farm	803,333$	0$	0$	No	803,333$		Link
Ryan Suzuki	Marlies (Tor)	C	21	2001-05-28	Yes	176 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	894,167$	0$	0$	No	894,167$		Link
Samuel Helenius	Marlies (Tor)	C	19	2002-11-26	Yes	201 Lbs	6 ft6	No	No	No	No	3	Pro & Farm	828,333$	0$	0$	No	828,333$	828,333$	Link
Tyler Madden	Marlies (Tor)	C	22	1999-11-09	Yes	152 Lbs	5 ft11	No	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Link
Will Cuylle	Marlies (Tor)	LW	20	2002-02-05	Yes	212 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	828,333$	0$	0$	No	828,333$	828,333$
Xavier Bernard	Marlies (Tor)	D	22	2000-01-06	Yes	205 Lbs	6 ft5	No	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$		Link
Zachary Emond	Marlies (Tor)	G	22	2000-06-20	Yes	181 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	600,000$	0$	0$	No			Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	22.00	192 Lbs	6 ft2	1.92	935,641$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Arthur Kaliyev	David Gustafsson	Brett Leason	40	1	2	2
2	Jakub Vrana	Tyler Madden	Dylan Guenther	30	1	2	2
3	Will Cuylle	Jan Jenik	Cole Schwindt	20	1	2	2
4	Albin Eriksson	Riley Damiani	Fabian Lysell	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jalen Chatfield	Dylan Samberg	40	1	2	2
2	Kevin Bahl	Lucas Johansen	30	1	2	2
3	Xavier Bernard	Austin Strand	20	1	2	2
4	Jalen Chatfield	Dylan Samberg	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Arthur Kaliyev	Cole Schwindt	Brett Leason	60	1	2	2
2	Jakub Vrana	Tyler Madden	Dylan Guenther	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jalen Chatfield	Dylan Samberg	60	1	2	2
2	Kevin Bahl	Lucas Johansen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cole Schwindt	Arthur Kaliyev	60	1	2	2
2	Tyler Madden	Jakub Vrana	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jalen Chatfield	Dylan Samberg	60	1	2	2
2	Kevin Bahl	Lucas Johansen	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Cole Schwindt	60	1	2	2	Jalen Chatfield	Dylan Samberg	60	1	2	2
2	Tyler Madden	40	1	2	2	Kevin Bahl	Lucas Johansen	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cole Schwindt	Arthur Kaliyev	60	1	2	2
2	Tyler Madden	Jakub Vrana	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jalen Chatfield	Dylan Samberg	60	1	2	2
2	Kevin Bahl	Lucas Johansen	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Arthur Kaliyev	Cole Schwindt	Brett Leason	Jalen Chatfield	Dylan Samberg

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Arthur Kaliyev	Cole Schwindt	Brett Leason	Jalen Chatfield	Dylan Samberg

Extra Forwards
Normal	PowerPlay	Penalty Kill
Dylan Guenther, Will Cuylle, Cole Schwindt	Dylan Guenther, Will Cuylle	Dylan Guenther

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Lucas Johansen, Xavier Bernard, Austin Strand	Lucas Johansen	Lucas Johansen, Xavier Bernard

Penalty Shots
Arthur Kaliyev, Jakub Vrana, Brett Leason, David Gustafsson, Dylan Guenther

Goalie
#1 : Daniil Tarasov, #2 : Olle Eriksson Ek

Custom OT Lines Forwards
Brett Leason, David Gustafsson, Will Cuylle, Dylan Guenther, Cole Schwindt, Tyler Madden, Tyler Madden, Jan Jenik, Fabian Lysell, Riley Damiani,

Custom OT Lines Defensemen
Xavier Bernard, Kevin Bahl, Dylan Samberg, Lucas Johansen, Austin Strand

Show or Hide Columns

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

	Overall												Home											Visitor
#	VS Team	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	Admirals	2	1	0	0	0	0	0	1	4	4	0	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	3	2	1	3	0.750	4	6	10	0	0	70	57	64	14	32	573	582	622	57	32	6	10	26	6	0	0.00%	5	0	100.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
2	Baby Hawks	2	1	0	0	0	0	0	1	7	4	3	1	1	0	0	0	0	0	0	5	1	4	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	7	12	19	0	0	70	57	64	14	49	573	582	622	57	40	7	2	39	7	2	28.57%	1	0	100.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
3	Bears	3	2	0	0	0	0	0	1	8	4	4	1	1	0	0	0	0	0	0	4	2	2	2	1	0	0	0	0	0	1	4	2	2	5	0.833	8	12	20	0	1	70	57	64	14	63	573	582	622	57	38	10	14	46	6	0	0.00%	7	1	85.71%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
4	Bruins	4	1	2	0	0	0	1	0	7	7	0	2	1	1	0	0	0	0	0	3	3	0	2	0	1	0	0	0	1	0	4	4	0	4	0.500	7	10	17	0	1	70	57	64	14	75	573	582	622	57	62	22	22	72	16	2	12.50%	11	2	81.82%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
5	Cabaret Lady Mary Ann	4	2	1	0	0	0	1	0	11	7	4	2	1	1	0	0	0	0	0	6	6	0	2	1	0	0	0	0	1	0	5	1	4	6	0.750	11	15	26	0	1	70	57	64	14	111	573	582	622	57	65	22	32	84	14	3	21.43%	15	2	86.67%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
6	Caroline	3	1	2	0	0	0	0	0	3	5	-2	2	1	1	0	0	0	0	0	2	2	0	1	0	1	0	0	0	0	0	1	3	-2	2	0.333	3	6	9	0	1	70	57	64	14	63	573	582	622	57	36	11	14	40	14	1	7.14%	5	1	80.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
7	Chiefs	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	2	-2	2	0.500	4	8	12	0	0	70	57	64	14	30	573	582	622	57	28	8	8	34	6	1	16.67%	4	1	75.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
8	Chill	2	1	0	0	0	0	0	1	3	3	0	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	1	0	1	3	0.750	3	6	9	0	1	70	57	64	14	47	573	582	622	57	28	10	6	40	6	0	0.00%	3	0	100.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
9	Comets	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	7	11	0	0	70	57	64	14	45	573	582	622	57	36	17	10	40	7	1	14.29%	5	1	80.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
10	Cougars	3	1	2	0	0	0	0	0	10	11	-1	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	10	17	27	0	0	70	57	64	14	62	573	582	622	57	76	18	18	62	5	1	20.00%	9	4	55.56%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
11	Crunch	4	4	0	0	0	0	0	0	15	4	11	2	2	0	0	0	0	0	0	9	1	8	2	2	0	0	0	0	0	0	6	3	3	8	1.000	15	23	38	0	1	70	57	64	14	99	573	582	622	57	64	20	20	79	9	1	11.11%	9	1	88.89%	1	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
12	Heat	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	6	0	6	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	16	25	0	1	70	57	64	14	61	573	582	622	57	44	9	8	40	4	0	0.00%	4	1	75.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
13	Jayhawks	2	1	1	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	5	10	15	0	0	70	57	64	14	65	573	582	622	57	44	11	8	45	4	0	0.00%	3	0	100.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
14	Las Vegas	2	2	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	2	0	2	4	1.000	6	8	14	0	1	70	57	64	14	53	573	582	622	57	16	8	0	35	9	2	22.22%	0	0	0%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
15	Manchots	3	1	2	0	0	0	0	0	3	9	-6	2	1	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	3	-2	2	0.333	3	5	8	0	1	70	57	64	14	43	573	582	622	57	81	13	36	52	5	1	20.00%	17	2	88.24%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
16	Minnesota	2	0	1	0	1	0	0	0	4	8	-4	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	4	7	11	0	0	70	57	64	14	46	573	582	622	57	57	13	22	64	2	0	0.00%	10	3	70.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
17	Monarchs	2	0	1	0	1	0	0	0	4	4	0	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	7	11	0	0	70	57	64	14	44	573	582	622	57	34	11	18	48	4	0	0.00%	8	1	87.50%	1	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
18	Monsters	3	2	0	0	0	0	0	1	5	4	1	1	1	0	0	0	0	0	0	2	1	1	2	1	0	0	0	0	0	1	3	3	0	5	0.833	5	9	14	0	1	70	57	64	14	56	573	582	622	57	45	14	22	63	13	1	7.69%	9	1	88.89%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
19	Monsters	2	2	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	1	0	1	4	1.000	4	7	11	0	2	70	57	64	14	35	573	582	622	57	33	10	6	31	7	0	0.00%	2	0	100.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
20	Oceanics	2	1	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	2	1	1	2	0.500	3	6	9	0	0	70	57	64	14	31	573	582	622	57	37	11	10	34	6	1	16.67%	5	1	80.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
21	Oil Kings	2	1	0	0	1	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	1	0	0	0	3	2	1	4	1.000	5	9	14	0	0	70	57	64	14	40	573	582	622	57	33	17	12	38	4	0	0.00%	6	1	83.33%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
22	Phantoms	3	1	1	0	0	0	0	1	4	6	-2	1	1	0	0	0	0	0	0	2	1	1	2	0	1	0	0	0	0	1	2	5	-3	3	0.500	4	8	12	0	0	70	57	64	14	53	573	582	622	57	51	19	20	72	5	0	0.00%	8	0	100.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
23	Rocket	3	1	1	0	0	0	1	0	7	7	0	1	1	0	0	0	0	0	0	3	2	1	2	0	1	0	0	0	1	0	4	5	-1	4	0.667	7	10	17	1	0	70	57	64	14	77	573	582	622	57	53	10	18	50	9	0	0.00%	9	1	88.89%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
24	Sags	2	2	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	4	7	11	0	1	70	57	64	14	39	573	582	622	57	29	9	18	47	4	1	25.00%	7	0	100.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
25	Seattle	2	0	2	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	70	57	64	14	40	573	582	622	57	28	10	16	39	9	1	11.11%	7	2	71.43%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
26	Senators	4	3	0	0	0	0	0	1	13	9	4	2	1	0	0	0	0	0	1	7	5	2	2	2	0	0	0	0	0	0	6	4	2	7	0.875	13	22	35	0	0	70	57	64	14	82	573	582	622	57	78	22	20	75	22	2	9.09%	9	1	88.89%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
27	Sound Tigers	3	0	3	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	2	-1	2	0	2	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	70	57	64	14	51	573	582	622	57	49	14	18	50	10	2	20.00%	9	0	100.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
28	Spiders	3	3	0	0	0	0	0	0	8	3	5	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	2	1	1	6	1.000	8	16	24	0	1	70	57	64	14	64	573	582	622	57	50	15	18	61	10	3	30.00%	7	2	71.43%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
29	Stars	2	0	1	0	0	0	0	1	2	5	-3	1	0	0	0	0	0	0	1	1	2	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0.250	2	4	6	0	0	70	57	64	14	34	573	582	622	57	39	9	14	38	8	1	12.50%	7	1	85.71%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
30	Thunder	4	4	0	0	0	0	0	0	25	10	15	2	2	0	0	0	0	0	0	13	3	10	2	2	0	0	0	0	0	0	12	7	5	8	1.000	25	45	70	0	0	70	57	64	14	148	573	582	622	57	96	33	16	98	9	4	44.44%	8	1	87.50%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
31	Wolf Pack	3	2	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	2	0	2	4	0.667	7	8	15	0	1	70	57	64	14	65	573	582	622	57	56	18	10	52	7	0	0.00%	5	2	60.00%	0	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
	Total	82	44	24	0	3	0	3	8	197	158	39	41	26	9	0	2	0	0	4	118	79	39	41	18	15	0	1	0	3	4	79	79	0	108	0.659	197	332	529	1	15	70	57	64	14	1803	573	582	622	57	1458	427	466	1594	247	31	12.55%	214	33	84.58%	2	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
	_Since Last GM Reset	82	44	24	0	3	0	3	8	197	158	39	41	26	9	0	2	0	0	4	118	79	39	41	18	15	0	1	0	3	4	79	79	0	108	0.659	197	332	529	1	15	70	57	64	14	1803	573	582	622	57	1458	427	466	1594	247	31	12.55%	214	33	84.58%	2	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
	_Vs Conference	43	24	11	0	1	0	1	6	100	81	19	21	12	5	0	1	0	0	3	54	43	11	22	12	6	0	0	0	1	3	46	38	8	58	0.674	100	171	271	0	8	70	57	64	14	893	573	582	622	57	766	227	258	836	129	17	13.18%	118	14	88.14%	1	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528
	_Vs Division	26	5	4	0	1	0	1	1	88	55	33	13	2	2	0	1	0	0	1	49	27	22	13	3	2	0	0	0	1	0	39	28	11	15	0.288	88	142	230	1	3	70	57	64	14	654	573	582	622	57	494	147	146	520	84	13	15.48%	70	12	82.86%	1	1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%	2153	1551	1812	562	1017	528

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	108	W2	197	332	529	1803	1458	427	466	1594	1	15

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	44	24	3	0	3	8	197	158

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	26	9	2	0	0	4	118	79

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	15	1	0	3	4	79	79

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	2	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
247	31	12.55%	214	33	84.58%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
573	582	622	57	70	57	64	14

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1233	2228	55.34%	1127	2072	54.39%	642	1143	56.17%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2153	1551	1812	562	1017	528

Last Played Games Show or Hide Columns

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2 - 2023-10-11	5	Rocket	2	Marlies	3	BW			BoxScore
5 - 2023-10-14	26	Minnesota	2	Marlies	3	BW	X		BoxScore
7 - 2023-10-16	38	Baby Hawks	1	Marlies	5	BW			BoxScore
10 - 2023-10-19	52	Marlies	2	Cabaret Lady Mary Ann	1	AW	X	X	BoxScore
12 - 2023-10-21	70	Marlies	5	Thunder	3	AW			BoxScore
15 - 2023-10-24	83	Marlies	1	Bears	2	AL	X	X	BoxScore
17 - 2023-10-26	108	Marlies	1	Stars	3	AL			BoxScore
19 - 2023-10-28	119	Marlies	1	Chill	0	AW			BoxScore
22 - 2023-10-31	139	Monarchs	2	Marlies	3	BW	X		BoxScore
24 - 2023-11-02	145	Marlies	1	Bruins	2	AL			BoxScore
26 - 2023-11-04	165	Crunch	0	Marlies	5	BW			BoxScore
28 - 2023-11-06	177	Thunder	1	Marlies	6	BW			BoxScore
30 - 2023-11-08	190	Senators	4	Marlies	3	BL	X	X	BoxScore
32 - 2023-11-10	207	Heat	0	Marlies	6	BW			BoxScore
33 - 2023-11-11	215	Comets	2	Marlies	3	BW			BoxScore
39 - 2023-11-17	251	Marlies	2	Cougars	4	AL			BoxScore
41 - 2023-11-19	267	Marlies	1	Minnesota	6	AL			BoxScore
46 - 2023-11-24	295	Marlies	2	Baby Hawks	3	AL	X	X	BoxScore
47 - 2023-11-25	311	Marlies	1	Manchots	3	AL			BoxScore
50 - 2023-11-28	329	Cabaret Lady Mary Ann	2	Marlies	3	BW			BoxScore
52 - 2023-11-30	346	Seattle	4	Marlies	0	BL			BoxScore
54 - 2023-12-02	364	Bruins	3	Marlies	1	BL			BoxScore
59 - 2023-12-07	395	Marlies	3	Senators	2	AW			BoxScore
61 - 2023-12-09	413	Chill	3	Marlies	2	BL	X	X	BoxScore
63 - 2023-12-11	429	Marlies	0	Sound Tigers	1	AL			BoxScore
64 - 2023-12-12	432	Marlies	2	Wolf Pack	0	AW			BoxScore
66 - 2023-12-14	449	Monsters	1	Marlies	2	BW			BoxScore
68 - 2023-12-16	467	Manchots	6	Marlies	1	BL			BoxScore
71 - 2023-12-19	489	Wolf Pack	3	Marlies	4	BW			BoxScore
73 - 2023-12-21	498	Marlies	2	Crunch	1	AW			BoxScore
75 - 2023-12-23	518	Marlies	2	Monsters	3	AL	X	X	BoxScore
79 - 2023-12-27	531	Senators	1	Marlies	4	BW			BoxScore
81 - 2023-12-29	546	Marlies	1	Monsters	0	AW			BoxScore
82 - 2023-12-30	561	Caroline	2	Marlies	0	BL			BoxScore
85 - 2024-01-02	585	Marlies	1	Monarchs	2	AL			BoxScore
86 - 2024-01-03	588	Marlies	3	Admirals	2	AW			BoxScore
89 - 2024-01-06	607	Marlies	2	Sags	1	AW			BoxScore
92 - 2024-01-09	627	Sags	0	Marlies	2	BW			BoxScore
94 - 2024-01-11	646	Marlies	1	Sound Tigers	2	AL			BoxScore
96 - 2024-01-13	663	Monsters	0	Marlies	3	BW			BoxScore
97 - 2024-01-14	670	Cougars	2	Marlies	4	BW			BoxScore
99 - 2024-01-16	688	Marlies	3	Oil Kings	2	AW	X		BoxScore
101 - 2024-01-18	697	Marlies	3	Heat	2	AW			BoxScore
103 - 2024-01-20	710	Marlies	1	Comets	3	AL			BoxScore
104 - 2024-01-21	723	Marlies	1	Seattle	3	AL			BoxScore
107 - 2024-01-24	740	Oceanics	5	Marlies	1	BL			BoxScore
110 - 2024-01-27	763	Marlies	2	Oceanics	1	AW			BoxScore
119 - 2024-02-05	782	Sound Tigers	2	Marlies	1	BL			BoxScore
121 - 2024-02-07	792	Stars	2	Marlies	1	BL	X	X	BoxScore
124 - 2024-02-10	813	Marlies	3	Senators	2	AW			BoxScore
127 - 2024-02-13	827	Chiefs	3	Marlies	4	BW			BoxScore
129 - 2024-02-15	843	Phantoms	1	Marlies	2	BW			BoxScore
131 - 2024-02-17	858	Admirals	2	Marlies	1	BL	X	X	BoxScore
133 - 2024-02-19	867	Marlies	0	Chiefs	2	AL			BoxScore
135 - 2024-02-21	887	Marlies	0	Jayhawks	1	AL			BoxScore
136 - 2024-02-22	898	Marlies	2	Las Vegas	0	AW			BoxScore
138 - 2024-02-24	908	Marlies	1	Monsters	0	AW			BoxScore
141 - 2024-02-27	931	Las Vegas	1	Marlies	4	BW			BoxScore
143 - 2024-02-29	946	Jayhawks	2	Marlies	5	BW			BoxScore
145 - 2024-03-02	964	Wolf Pack	3	Marlies	1	BL			BoxScore
147 - 2024-03-04	978	Bruins	0	Marlies	2	BW			BoxScore
149 - 2024-03-06	990	Crunch	1	Marlies	4	BW			BoxScore
150 - 2024-03-07	993	Marlies	3	Bruins	2	AW	X	X	BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
152 - 2024-03-09	1015	Marlies	1	Rocket	3	AL			BoxScore
157 - 2024-03-14	1050	Marlies	2	Phantoms	3	AL	X	X	BoxScore
159 - 2024-03-16	1067	Caroline	0	Marlies	2	BW			BoxScore
162 - 2024-03-19	1086	Marlies	0	Phantoms	2	AL			BoxScore
163 - 2024-03-20	1095	Marlies	3	Bears	0	AW			BoxScore
166 - 2024-03-23	1118	Oil Kings	1	Marlies	2	BW			BoxScore
167 - 2024-03-24	1127	Marlies	1	Caroline	3	AL			BoxScore
169 - 2024-03-26	1139	Spiders	0	Marlies	3	BW			BoxScore
171 - 2024-03-28	1155	Bears	2	Marlies	4	BW			BoxScore
173 - 2024-03-30	1171	Marlies	4	Crunch	2	AW			BoxScore
175 - 2024-04-01	1185	Cabaret Lady Mary Ann	4	Marlies	3	BL			BoxScore
177 - 2024-04-03	1197	Thunder	2	Marlies	7	BW			BoxScore
180 - 2024-04-06	1223	Marlies	3	Rocket	2	AW	X	X	BoxScore
182 - 2024-04-08	1237	Manchots	0	Marlies	1	BW			BoxScore
183 - 2024-04-09	1243	Marlies	2	Spiders	1	AW			BoxScore
185 - 2024-04-11	1260	Spiders	2	Marlies	3	BW			BoxScore
187 - 2024-04-13	1277	Cougars	5	Marlies	4	BL			BoxScore
190 - 2024-04-16	1297	Marlies	3	Cabaret Lady Mary Ann	0	AW			BoxScore
191 - 2024-04-17	1304	Marlies	7	Thunder	4	AW			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	4000	2000
Ticket Price	50	20
Attendance	102,345	54,623
Attendance PCT	62.41%	66.61%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	3828 - 63.81%	181,748$	7,451,652$	6000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,316,474$	3,265,166$	3,265,166$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
17,006$	2,316,474$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	17,006$	0$

Marlies Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	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

Marlies Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Marlies Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	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

Marlies Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	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

Marlies Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Marlies
	GP: 82 \| W: 50 \| L: 24 \| OTL: 8 \| P: 108 GF: 197 \| GA: 158 \| PP%: 12.55% \| PK%: 84.58% GM : Patrick Pellegrino \| Morale : 50 \| Team Overall : 61