Monkeys
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Career Team Stat

Game Center
	Icedogs 14-9-0, 28pts	3	FINAL	5	Mariners 16-6-0, 32pts

Team Stats
L2	Streak	W2
7-4-0	Home Record	9-3-0
7-5-0	Away Record	7-3-0
5-4-1	Last 10 Games	7-3-0
2.96	Goals Per Game	3.14
2.96	Goals Against Per Game	2.27
20.73%	Power Play Percentage	19.72%
85.71%	Penalty Kill Percentage	79.10%

Mariners
16-6-0, 32pts

FINAL

Icedogs
14-9-0, 28pts

Team Stats
W2	Streak	L2
9-3-0	Home Record	7-4-0
7-3-0	Away Record	7-5-0
7-3-0	Last 10 Games	5-4-1
3.14	Goals Per Game	2.96
2.27	Goals Against Per Game	2.96
19.72%	Power Play Percentage	20.73%
79.10%	Penalty Kill Percentage	85.71%

Team Leaders
	Goals Mika Zibanejad 11	Assists Mika Zibanejad 17

	Points Mika Zibanejad 28	Plus/Minus Pius Suter 2

	Wins Jonathan Quick 14	Save Percentage Jonathan Quick 0.918

Team Stats
Goals For 68 2.96 GFG	Shots For 728 31.65 Avg	Power Play Percentage 20.7% 17 GF	Offensive Zone Start 38.8%
Goals Against 68 2.96 GAA	Shots Against 822 35.74 Avg	Penalty Kill Percentage 85.7%% 13 GA	Defensive Zone Start 39.0%

Team Info
	General Manager	Fred Joanis
	Coach	Dave Tippett
	Division	Bourque
	Conference	Conférence Gretzky
	Captain	Bo Horvat
	Assistant #1	Jordan Staal
	Assistant #2	Mark Giordano
Arena Info
	Name	Long Beach Arena
	Capacity	19,250
	Attendance	18,449
	Season Tickets	7,700
Roster Info
	Pro Team	22
	Farm Team	18
	Contract Limit	40 / 55
	Prospects	41
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	85,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	22,294,875$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	33,524,384$
	Projected Bank Account	33,524,384$
Team History
	This Season	14-9
	History	128-93-35 (0.500%)
	Playoff Appearances	3
	Playoff Record (W-L)	18-17
	Stanley Cup	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

#	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
1	Mika Zibanejad	X				100.00	75	66	96	85	86	85	92	88	87	90	86	89	88	83	89	0	81	82	0	30	1	5,350,000$
2	Elias Lindholm	X		X		100.00	75	66	94	85	81	85	93	89	90	85	92	99	67	81	87	0	80	82	0	28	3	4,850,000$
3	Bo Horvat (C)	X				100.00	84	67	88	88	87	85	80	84	93	78	89	81	85	79	90	0	82	80	0	28	2	5,500,000$
4	Timo Meier		X	X		100.00	91	64	85	86	86	85	87	88	59	86	90	75	66	76	81	0	83	79	0	26	2	6,000,000$
5	Tom Wilson			X		100.00	95	91	74	85	92	84	88	82	54	80	84	84	59	84	87	0	82	78	0	29	3	5,166,000$
6	Jared McCann	X	X			100.00	76	58	90	86	80	82	82	82	66	78	86	67	66	76	78	0	84	75	0	27	1	2,940,000$
7	Artturi Lehkonen		X	X		100.00	80	59	93	85	79	81	82	79	50	76	81	82	57	78	80	0	80	75	0	28	1	2,400,000$
8	Jesse Puljujarvi (R)			X		100.00	82	57	93	86	83	82	72	80	50	80	79	77	55	73	77	0	82	74	0	25	1	1,175,000$
9	Sean Kuraly	X	X			100.00	95	67	83	84	87	81	86	74	83	72	76	85	53	77	76	0	84	74	0	30	4	1,775,500$
10	Derek Grant	X	X			100.00	78	66	92	82	84	80	78	75	69	71	78	82	55	75	75	0	81	73	0	33	2	1,500,000$
11	Casey Cizikas	X				100.00	90	69	86	83	87	79	81	70	86	66	73	80	51	84	79	0	79	72	0	32	6	1,500,000$
12	Cale Makar				X	100.00	82	57	92	93	79	93	91	91	50	93	88	90	76	73	84	0	81	83	0	24	6	9,000,000$
13	Mark Giordano (A)				X	100.00	78	73	84	84	84	86	86	77	50	81	73	74	51	89	95	0	77	77	0	39	1	6,750,000$
14	Mario Ferraro				X	100.00	92	56	94	89	83	89	73	69	50	71	67	86	50	70	80	0	83	75	0	25	1	1,137,500$
15	Rasmus Ristolainen				X	100.00	96	71	88	87	92	87	76	69	50	72	66	77	50	79	85	0	84	75	0	28	1	5,400,000$
16	Brandon Carlo				X	100.00	89	65	91	84	85	85	90	69	50	67	70	84	50	78	77	0	81	74	0	26	6	4,100,000$
17	Jakob Chychrun				X	100.00	79	66	79	88	84	89	55	77	50	78	76	70	67	74	79	0	70	74	0	25	4	4,600,000$
Scratches
1	Jordan Staal (A)	X	X			100.00	93	73	95	81	89	82	87	77	91	75	79	82	55	96	91	0	74	77	0	35	2	6,250,000$
2	Pius Suter	X	X			100.00	62	53	94	87	73	82	92	76	81	76	76	78	67	69	73	0	76	72	0	27	2	1,975,000$
Farm Team
1	Matt Nieto		X	X		100.00	84	58	94	86	82	80	77	69	50	69	69	77	50	80	78	0	82	70	0	30	2	850,000$
2	Janne Kuokkanen (R)		X	X		100.00	71	55	96	80	75	79	62	71	50	71	71	76	50	69	72	0	85	69	0	25	2	1,825,000$
3	Cody Eakin	X				100.00	69	57	93	84	76	79	76	68	84	68	67	74	50	84	80	0	92	69	0	32	1	875,000$
4	Philipp Kurashev (R)	X	X	X		100.00	69	56	96	93	76	78	73	71	56	73	69	70	54	69	70	0	93	69	0	23	1	925,000$
5	Filip Zadina (R)		X	X		100.00	74	55	97	87	77	80	81	72	50	71	73	66	51	70	71	0	91	69	0	23	1	1,775,000$
6	Gabriel Vilardi (R)	X		X		100.00	58	56	93	82	78	79	40	72	60	66	77	71	60	68	72	0	45	68	0	24	1	1,658,333$
7	Connor McMichael (R)	X	X			100.00	73	56	96	87	75	76	73	71	61	68	73	71	51	68	69	0	90	68	0	22	3	925,000$
8	Julien Gauthier (R)			X		100.00	91	74	96	82	92	76	53	67	50	66	67	69	50	69	69	0	86	67	0	25	1	1,225,000$
9	Sean Durzi (R)				X	100.00	81	61	82	88	80	85	73	75	50	81	68	73	50	68	73	0	84	73	0	24	1	925,000$
10	Henri Jokiharju (R)				X	100.00	82	59	93	89	81	87	69	73	50	77	68	72	50	71	73	0	85	73	0	24	3	2,500,000$
11	Michael Anderson (R)				X	100.00	92	58	96	86	85	86	65	67	50	67	67	78	50	69	73	0	85	72	0	24	1	1,775,000$
12	Jacob Middleton (R)				X	100.00	89	78	74	77	90	84	75	69	50	69	69	83	50	68	70	0	92	72	0	27	1	875,000$
13	J.J. Moser (R)				X	100.00	74	54	92	90	74	84	49	74	50	76	72	71	50	67	70	0	87	70	0	23	3	925,000$
14	Matt Benning				X	100.00	82	63	87	82	83	82	72	66	50	70	62	70	50	75	75	0	91	70	0	29	1	1,900,000$
15	Madison Bowey (R)				X	100.00	91	66	95	84	86	81	40	62	50	60	64	78	50	70	71	0	91	68	0	28	1	1,000,000$
16	Cale Fleury (R)				X	100.00	91	65	95	84	87	80	40	62	50	60	64	69	50	68	70	0	83	67	0	24	1	883,333$
17	Ryan Merkley (R)				X	100.00	63	55	95	88	73	81	43	67	50	68	66	59	50	66	69	0	91	65	0	23	2	1,225,000$

	TEAM AVERAGE					100.00	84	65	89	86	84	84	83	79	66	78	79	81	61	79	82	0	80	76

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Jonathan Quick	100.00	78	83	81	90	81	78	76	77	76	74	76	96	91	0	81	79	0	37	2	1,750,000$
2	Laurent Brossoit	100.00	76	72	69	91	72	75	74	77	76	73	78	70	73	0	82	73	0	30	2	1,750,000$
3	Carter Hart	100.00	73	83	83	83	74	75	73	71	74	73	72	72	78	0	84	73	0	25	3	3,979,000$
Scratches
Farm Team
1	Chris Driedger	100.00	71	74	71	90	71	70	74	73	75	70	76	69	74	0	50	71	0	29	3	850,000$

	TEAM AVERAGE	100.00	76	79	78	88	76	76	74	75	75	73	75	79	81	0	82	75

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dave Tippett	82	86	95	91	96	74	99	CAN	59	1	750,000$

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	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	P/20	FW	FL	FT	S1	S2	S3
1	Mika Zibanejad	Icedogs	C	23	11	17	28	-4	11	5	38	57	88	22	46	12.50%	17	593	25.82	3	7	10	9	73	0	0	0	2	79	3	1	51.95%	743	10	8	1	0.94	0	1	0	3	0	2
2	Timo Meier	Icedogs	LW/RW	23	9	14	23	-1	26	0	28	21	80	16	46	11.25%	5	468	20.38	4	5	9	14	74	0	1	1	3	35	2	1	46.15%	39	22	6	0	0.98	0	0	0	0	0	2
3	Elias Lindholm	Icedogs	C/RW	20	10	13	23	0	4	0	32	40	64	13	28	15.63%	5	413	20.68	4	4	8	9	52	0	1	1	0	44	1	0	53.33%	60	10	8	0	1.11	0	0	0	2	1	1
4	Cale Makar	Icedogs	D	23	3	16	19	-3	2	0	31	68	61	26	28	4.92%	43	666	28.98	2	4	6	8	79	0	0	0	1	90	1	0	0.00%	0	26	21	0	0.57	0	0	0	1	2	2
5	Bo Horvat	Icedogs	C	23	7	11	18	1	13	5	36	37	66	13	33	10.61%	7	451	19.63	1	3	4	6	52	1	0	1	3	56	3	0	49.32%	296	12	15	0	0.80	1	0	0	1	0	2
6	Jared McCann	Icedogs	C/LW	23	5	7	12	-1	2	0	32	26	55	22	34	9.09%	1	308	13.40	0	0	0	0	5	0	0	0	0	3	1	2	41.55%	142	9	8	0	0.78	0	0	0	0	0	2
7	Artturi Lehkonen	Icedogs	LW/RW	23	7	5	12	1	2	0	34	21	52	9	29	13.46%	6	331	14.42	1	0	1	1	12	0	0	0	1	16	1	2	50.00%	18	9	9	0	0.72	0	0	0	1	1	0
8	Jesse Puljujarvi	Icedogs	RW	23	3	4	7	-2	0	0	25	17	46	4	22	6.52%	3	260	11.31	0	0	0	1	2	0	0	0	0	18	0	0	50.00%	8	6	7	0	0.54	0	0	0	0	2	0
9	Mark Giordano	Icedogs	D	22	1	6	7	-2	60	10	30	32	30	14	16	3.33%	28	604	27.47	1	2	3	4	77	0	0	0	1	68	0	0	0.00%	0	3	21	0	0.23	2	0	0	1	0	0
10	Tom Wilson	Icedogs	RW	23	2	4	6	-2	70	10	35	24	54	12	36	3.70%	11	419	18.25	0	2	2	6	62	0	0	0	0	13	0	0	52.00%	25	13	8	0	0.29	0	0	2	0	0	0
11	Jordan Staal	Icedogs	C/LW	23	3	3	6	-1	2	0	26	29	29	7	18	10.34%	9	380	16.55	1	0	1	4	52	0	0	0	0	0	0	1	35.29%	17	8	7	0	0.32	0	0	0	0	1	1
12	Sean Kuraly	Icedogs	C/LW	23	3	2	5	-5	8	0	31	14	20	10	13	15.00%	6	206	9.00	0	0	0	0	1	0	0	0	0	1	0	0	57.14%	35	1	4	0	0.48	0	0	0	0	3	0
13	Rasmus Ristolainen	Icedogs	D	23	0	5	5	-2	16	0	25	22	21	6	9	0.00%	17	476	20.70	0	2	2	1	51	0	0	0	0	51	0	0	0.00%	0	3	15	0	0.21	0	0	0	0	0	0
14	Jakob Chychrun	Icedogs	D	23	0	4	4	0	18	0	17	9	9	8	3	0.00%	16	302	13.14	0	0	0	0	2	0	0	0	0	26	0	0	0.00%	0	3	18	0	0.26	0	0	0	0	1	0
15	Derek Grant	Icedogs	C/LW	23	1	2	3	-1	4	0	13	7	13	2	7	7.69%	9	157	6.85	0	0	0	0	1	0	0	0	0	25	0	0	46.88%	32	2	1	0	0.38	0	0	0	0	1	0
16	Brandon Carlo	Icedogs	D	23	1	2	3	-1	7	5	15	20	15	6	2	6.67%	15	289	12.58	0	0	0	0	0	0	0	0	0	6	0	0	0.00%	0	1	11	0	0.21	0	1	0	0	0	0
17	Pius Suter	Icedogs	C/LW	13	1	1	2	2	0	0	3	8	6	0	2	16.67%	2	47	3.64	0	0	0	0	2	0	0	0	0	3	1	0	55.56%	9	0	0	0	0.84	0	0	0	0	1	0
18	Mario Ferraro	Icedogs	D	23	1	1	2	-1	13	5	26	34	18	7	14	5.56%	19	468	20.37	0	1	1	1	50	0	0	0	1	55	1	0	0.00%	0	3	18	0	0.09	0	0	1	0	0	0
19	Casey Cizikas	Icedogs	C	13	0	0	0	-1	0	0	3	3	1	1	0	0.00%	0	48	3.76	0	0	0	0	3	0	0	0	0	0	0	0	16.67%	6	0	0	0	0.00%	0	0	0	0	0	0
20	Henri Jokiharju	Monkeys (IDS)	D	1	0	0	0	1	0	0	0	0	0	1	0	0.00%	1	12	12.22	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00%	0	0	0	0	0	0
Team Total or Average				414	68	117	185	-22	258	40	480	489	728	199	386	9.34%	220	6908	16.69	17	30	47	64	659	1	2	3	12	596	14	7	49.93%	1430	141	185	1	0.54	3	2	3	9	13	12

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jonathan Quick	Icedogs	23	14	7	2	0.918	2.85	1412	4	0	67	821	416	0	1	0.00%	0	23	0	5	1	0
Team Total or Average			23	14	7	2	0.918	2.85	1412	4	0	67	821	416	0	1		0	23	0	5	1	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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Link
Artturi Lehkonen	Icedogs	LW/RW	28	1995-07-04 09:26:19	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	2,400,000$	2,400,000$	0$	No						Link
Bo Horvat	Icedogs	C	28	1995-04-05 09:26:19	No	223 Lbs	6 ft0	No	No	No	2	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$					Link
Brandon Carlo	Icedogs	D	26	1996-11-26 15:26:19	No	212 Lbs	6 ft5	No	No	No	6	Pro Only	4,100,000$	4,100,000$	0$	No	4,100,000$	4,100,000$	4,100,000$	4,100,000$	4,100,000$	Link
Cale Makar	Icedogs	D	24	1998-10-30 15:32:47	No	187 Lbs	5 ft11	No	No	No	6	Pro Only	9,000,000$	9,000,000$	0$	No	9,000,000$	9,000,000$	9,000,000$	9,000,000$	9,000,000$	Link
Carter Hart	Icedogs	G	25	1998-08-13 09:26:20	No	181 Lbs	6 ft2	No	No	No	3	Pro Only	3,979,000$	3,979,000$	0$	No	3,979,000$	3,979,000$
Casey Cizikas	Icedogs	C	32	1991-02-27 09:26:19	No	201 Lbs	5 ft11	No	No	No	6	Pro Only	1,500,000$	1,500,000$	0$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	Link
Derek Grant	Icedogs	C/LW	33	1990-04-20 16:02:45	No	215 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,500,000$	1,500,000$	0$	No	1,500,000$					Link
Elias Lindholm	Icedogs	C/RW	28	1994-12-02 03:26:19	No	192 Lbs	6 ft1	No	No	No	3	Pro Only	4,850,000$	4,850,000$	0$	No	4,850,000$	4,850,000$				Link
Jakob Chychrun	Icedogs	D	25	1998-03-31 03:26:19	No	210 Lbs	6 ft2	No	No	No	4	Pro Only	4,600,000$	4,600,000$	0$	No	4,600,000$	4,600,000$	4,600,000$			Link
Jared McCann	Icedogs	C/LW	27	1996-05-31 15:26:19	No	198 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,940,000$	2,940,000$	0$	No						Link
Jesse Puljujarvi	Icedogs	RW	25	1998-05-07 15:12:25	Yes	201 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,175,000$	1,175,000$	0$	No						Link
Jonathan Quick	Icedogs	G	37	1986-01-21 03:26:20	No	220 Lbs	6 ft1	No	No	No	2	Pro Only	1,750,000$	1,750,000$	0$	No	1,750,000$
Jordan Staal	Icedogs	C/LW	35	1988-09-10 15:26:19	No	220 Lbs	6 ft4	No	No	No	2	Pro Only	6,250,000$	6,250,000$	0$	No	6,250,000$					Link
Laurent Brossoit	Icedogs	G	30	1993-03-23 17:36:37	No	215 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,750,000$	1,750,000$	0$	No	1,750,000$
Mario Ferraro	Icedogs	D	25	1998-09-17 15:16:04	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,137,500$	1,137,500$	0$	No						Link
Mark Giordano	Icedogs	D	39	1983-10-03 09:26:19	No	198 Lbs	6 ft0	No	No	No	1	Pro Only	6,750,000$	6,750,000$	0$	No						Link
Mika Zibanejad	Icedogs	C	30	1993-04-18 21:26:19	No	211 Lbs	6 ft2	No	No	No	1	Pro & Farm	5,350,000$	5,350,000$	0$	No						Link
Pius Suter	Icedogs	C/LW	27	1996-05-24 15:52:51	No	174 Lbs	5 ft11	No	No	No	2	Pro Only	1,975,000$	1,975,000$	0$	No	1,975,000$					Link
Rasmus Ristolainen	Icedogs	D	28	1994-10-27 03:26:19	No	215 Lbs	6 ft4	No	No	No	1	Pro Only	5,400,000$	5,400,000$	0$	No						Link
Sean Kuraly	Icedogs	C/LW	30	1993-01-20 04:32:57	No	213 Lbs	6 ft2	No	No	No	4	Pro Only	1,775,500$	1,775,500$	0$	No	1,775,500$	1,775,500$	1,775,500$			Link
Timo Meier	Icedogs	LW/RW	26	1996-10-08 15:26:19	No	215 Lbs	6 ft0	No	No	No	2	Pro Only	6,000,000$	6,000,000$	0$	No	6,000,000$					Link
Tom Wilson	Icedogs	RW	29	1994-03-29 03:26:19	No	220 Lbs	6 ft4	No	No	No	3	Pro Only	5,166,000$	5,166,000$	0$	No	5,166,000$	5,166,000$				Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	28.95	204 Lbs	6 ft2	2.55	3,856,727$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
84,848,000$	59,695,500$	34,970,500$	20,975,500$	14,600,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Timo Meier	Mika Zibanejad	Elias Lindholm	40	1	2	2
2		Bo Horvat	Tom Wilson	30	1	2	2
3	Artturi Lehkonen	Jared McCann	Jesse Puljujarvi	20	1	2	2
4	Derek Grant	Sean Kuraly	Mika Zibanejad	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cale Makar	Mark Giordano	40	1	2	2
2	Mario Ferraro	Rasmus Ristolainen	30	1	2	2
3	Brandon Carlo	Jakob Chychrun	20	1	2	2
4	Cale Makar	Mark Giordano	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Timo Meier	Mika Zibanejad	Elias Lindholm	60	1	2	2
2		Bo Horvat	Tom Wilson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cale Makar	Mark Giordano	60	1	2	2
2	Mario Ferraro	Rasmus Ristolainen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mika Zibanejad	Elias Lindholm	60	1	2	2
2	Bo Horvat	Timo Meier	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cale Makar	Mark Giordano	60	1	2	2
2	Mario Ferraro	Rasmus Ristolainen	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mika Zibanejad	60	1	2	2	Cale Makar	Mark Giordano	60	1	2	2
2	Elias Lindholm	40	1	2	2	Mario Ferraro	Rasmus Ristolainen	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mika Zibanejad	Elias Lindholm	60	1	2	2
2	Bo Horvat	Timo Meier	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cale Makar	Mark Giordano	60	1	2	2
2	Mario Ferraro	Rasmus Ristolainen	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Timo Meier	Mika Zibanejad	Elias Lindholm	Cale Makar	Mark Giordano

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Timo Meier	Mika Zibanejad	Elias Lindholm	Cale Makar	Mark Giordano

Extra Forwards
Normal	PowerPlay	Penalty Kill
Casey Cizikas, Jared McCann, Artturi Lehkonen	Casey Cizikas, Jared McCann	Artturi Lehkonen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Brandon Carlo, Jakob Chychrun, Mario Ferraro	Brandon Carlo	Jakob Chychrun, Mario Ferraro

Penalty Shots
Mika Zibanejad, Elias Lindholm, Bo Horvat, Timo Meier, Tom Wilson

Goalie
#1 : Jonathan Quick, #2 : Carter Hart, #3 : Laurent Brossoit

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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

	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	Mariners	6	2	4	0	0	0	0	0	14	22	-8	3	1	2	0	0	0	0	0	6	12	-6	3	1	2	0	0	0	0	0	8	10	-2	4	0.333	14	23	37	1	0	2	7	5	0	188	58	69	61	0	211	56	58	114	15	4	26.67%	24	5	79.17%	0	281	555	50.63%	267	557	47.94%	166	318	52.20%	118	67	141	54	99	47
2	Penguins	7	4	3	0	0	0	0	0	15	18	-3	3	1	2	0	0	0	0	0	3	9	-6	4	3	1	0	0	0	0	0	12	9	3	8	0.571	15	27	42	0	0	5	6	3	1	211	68	70	69	4	271	65	77	148	17	2	11.76%	26	3	88.46%	0	281	555	50.63%	267	557	47.94%	166	318	52.20%	143	79	162	62	122	61
3	Sens	5	4	1	0	0	0	0	0	19	14	5	3	3	0	0	0	0	0	0	14	9	5	2	1	1	0	0	0	0	0	5	5	0	8	0.800	19	31	50	0	0	6	6	5	2	168	50	49	59	10	163	51	80	96	23	5	21.74%	20	3	85.00%	0	281	555	50.63%	267	557	47.94%	166	318	52.20%	111	62	109	46	90	45
4	Thunder	5	4	1	0	0	0	0	0	20	14	6	2	2	0	0	0	0	0	0	8	5	3	3	2	1	0	0	0	0	0	12	9	3	8	0.800	20	36	56	0	0	6	8	5	1	161	56	45	52	8	177	48	47	122	27	6	22.22%	21	2	90.48%	1	281	555	50.63%	267	557	47.94%	166	318	52.20%	109	61	115	49	89	45
	Total	23	14	9	0	0	0	0	0	68	68	0	11	7	4	0	0	0	0	0	31	35	-4	12	7	5	0	0	0	0	0	37	33	4	28	0.609	68	117	185	1	0	19	27	18	4	728	232	233	241	22	822	220	262	480	82	17	20.73%	91	13	85.71%	1	281	555	50.63%	267	557	47.94%	166	318	52.20%	482	270	529	211	401	199
	_Since Last GM Reset	23	14	9	0	0	0	0	0	68	68	0	11	7	4	0	0	0	0	0	31	35	-4	12	7	5	0	0	0	0	0	37	33	4	28	0.609	68	117	185	1	0	19	27	18	4	728	232	233	241	22	822	220	262	480	82	17	20.73%	91	13	85.71%	1	281	555	50.63%	267	557	47.94%	166	318	52.20%	482	270	529	211	401	199
	_Vs Conference	17	12	5	0	0	0	0	0	54	46	8	8	6	2	0	0	0	0	0	25	23	2	9	6	3	0	0	0	0	0	29	23	6	24	0.706	54	94	148	0	0	17	20	13	4	540	174	164	180	22	611	164	204	366	67	13	19.40%	67	8	88.06%	1	281	555	50.63%	267	557	47.94%	166	318	52.20%	363	203	387	157	301	152

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
23	28	L2	68	117	185	728	822	220	262	480	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	14	9	0	0	0	0	68	68

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	7	4	0	0	0	0	31	35

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	7	5	0	0	0	0	37	33

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	4	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
82	17	20.73%	91	13	85.71%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
232	233	241	22	19	27	18	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
281	555	50.63%	267	557	47.94%	166	318	52.20%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
482	270	529	211	401	199

Last Played Games 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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
1 - 2023-03-12	4	Sens	4	Icedogs	5	BW	X	BoxScore
3 - 2023-03-14	12	Sens	2	Icedogs	4	BW		BoxScore
5 - 2023-03-16	20	Icedogs	2	Sens	3	AL		BoxScore
7 - 2023-03-18	28	Icedogs	3	Sens	2	AW	X	BoxScore
9 - 2023-03-20	36	Sens	3	Icedogs	5	BW		BoxScore
15 - 2023-03-26	57	Icedogs	2	Penguins	3	AL	X	BoxScore
17 - 2023-03-28	61	Icedogs	5	Penguins	4	AW		BoxScore
19 - 2023-03-30	65	Penguins	2	Icedogs	3	BW		BoxScore
21 - 2023-04-01	69	Penguins	3	Icedogs	0	BL		BoxScore
23 - 2023-04-03	73	Icedogs	2	Penguins	1	AW	X	BoxScore
25 - 2023-04-05	77	Penguins	4	Icedogs	0	BL		BoxScore
27 - 2023-04-07	81	Icedogs	3	Penguins	1	AW		BoxScore
29 - 2023-04-09	85	Icedogs	3	Thunder	2	AW	X	BoxScore
31 - 2023-04-11	87	Icedogs	3	Thunder	4	AL	X	BoxScore
33 - 2023-04-13	89	Thunder	4	Icedogs	6	BW		BoxScore
35 - 2023-04-15	91	Thunder	1	Icedogs	2	BW		BoxScore
37 - 2023-04-17	93	Icedogs	6	Thunder	3	AW		BoxScore
43 - 2023-04-23	99	Icedogs	4	Mariners	3	AW		BoxScore
44 - 2023-04-24	100	Icedogs	1	Mariners	2	AL		BoxScore
45 - 2023-04-25	101	Mariners	5	Icedogs	3	BL		BoxScore
46 - 2023-04-26	102	Mariners	1	Icedogs	2	BW		BoxScore
47 - 2023-04-27	103	Icedogs	3	Mariners	5	AL		BoxScore
48 - 2023-04-28	104	Mariners	6	Icedogs	1	BL		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	4500	4500	4500	4700	1050
Ticket Price	99	74	59	34	199
Attendance	49,034	46,866	43,815	51,677	11,550
Attendance PCT	99.06%	94.68%	88.52%	99.96%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
30	18449 - 95.84%	2,026,807$	22,294,875$	19250	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	84,848,000$	84,848,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
0$	33,524,384$	33,524,384$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
0$	85,000,000$	85,000,000$	-60,000,000$

Depth Chart

Left Wing

Center

Right Wing

Timo Meier	AGE:26	PO:0	OV:79
Jordan Staal	AGE:35	PO:0	OV:77
Jared McCann	AGE:27	PO:0	OV:75
Artturi Lehkonen	AGE:28	PO:0	OV:75
Sean Kuraly	AGE:30	PO:0	OV:74
Derek Grant	AGE:33	PO:0	OV:73
Pius Suter	AGE:27	PO:0	OV:72
Matt Nieto	AGE:30	PO:0	OV:70
Janne Kuokkanen (R)	AGE:25	PO:0	OV:69
Philipp Kurashev (R)	AGE:23	PO:0	OV:69
Filip Zadina (R)	AGE:23	PO:0	OV:69
Connor McMichael (R)	AGE:22	PO:0	OV:68

Mika Zibanejad	AGE:30	PO:0	OV:82
Elias Lindholm	AGE:28	PO:0	OV:82
Bo Horvat	AGE:28	PO:0	OV:80
Jordan Staal	AGE:35	PO:0	OV:77
Jared McCann	AGE:27	PO:0	OV:75
Sean Kuraly	AGE:30	PO:0	OV:74
Derek Grant	AGE:33	PO:0	OV:73
Pius Suter	AGE:27	PO:0	OV:72
Casey Cizikas	AGE:32	PO:0	OV:72
Cody Eakin	AGE:32	PO:0	OV:69
Philipp Kurashev (R)	AGE:23	PO:0	OV:69
Gabriel Vilardi (R)	AGE:24	PO:0	OV:68
Connor McMichael (R)	AGE:22	PO:0	OV:68

Elias Lindholm	AGE:28	PO:0	OV:82
Timo Meier	AGE:26	PO:0	OV:79
Tom Wilson	AGE:29	PO:0	OV:78
Artturi Lehkonen	AGE:28	PO:0	OV:75
Jesse Puljujarvi (R)	AGE:25	PO:0	OV:74
Matt Nieto	AGE:30	PO:0	OV:70
Janne Kuokkanen (R)	AGE:25	PO:0	OV:69
Philipp Kurashev (R)	AGE:23	PO:0	OV:69
Filip Zadina (R)	AGE:23	PO:0	OV:69
Gabriel Vilardi (R)	AGE:24	PO:0	OV:68
Julien Gauthier (R)	AGE:25	PO:0	OV:67

Defense #1

Defense #2

Goalie

Cale Makar	AGE:24	PO:0	OV:83
Mark Giordano	AGE:39	PO:0	OV:77
Mario Ferraro	AGE:25	PO:0	OV:75
Rasmus Ristolainen	AGE:28	PO:0	OV:75
Brandon Carlo	AGE:26	PO:0	OV:74
Jakob Chychrun	AGE:25	PO:0	OV:74
Sean Durzi (R)	AGE:24	PO:0	OV:73
Henri Jokiharju (R)	AGE:24	PO:0	OV:73

Michael Anderson (R)	AGE:24	PO:0	OV:72
Jacob Middleton (R)	AGE:27	PO:0	OV:72
J.J. Moser (R)	AGE:23	PO:0	OV:70
Matt Benning	AGE:29	PO:0	OV:70
Madison Bowey (R)	AGE:28	PO:0	OV:68
Cale Fleury (R)	AGE:24	PO:0	OV:67
Ryan Merkley (R)	AGE:23	PO:0	OV:65

Jonathan Quick	AGE:37	PO:0	OV:79
Laurent Brossoit	AGE:30	PO:0	OV:73
Carter Hart	AGE:25	PO:0	OV:73
Chris Driedger	AGE:29	PO:0	OV:71

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
Antoine Morand	Icedogs	2018	69
Bode Wilde	Icedogs
Boris Katchouk	Icedogs
Brennan Othmann	Icedogs
Brett Berard	Icedogs	2021	83
Calle Clang	Icedogs	2021	60
Carter Mazur	Icedogs
Clay Stevenson	Icedogs
Cross Hanas	Icedogs	2021	82
Dylan Duke	Icedogs
Emilio Pettersen	Icedogs
Fredrik Olofsson	Icedogs
Grant Mismash	Icedogs	2018	89
Gustav Olofsson	Icedogs
Helge Grans	Icedogs
Jack Dougherty	Icedogs
Jack Studnicka	Icedogs	2018	67
Jan Mysak	Icedogs
Jeremy Roy	Icedogs
Jonathan Davidsson	Icedogs	2018	49
Kasper Simontaival	Icedogs	2021	51
Lukas Reichel	Icedogs
Max Gildon	Icedogs	2018	74
Mirco Mueller	Icedogs
Nikita Scherbak	Icedogs
Nils Aman	Icedogs
Olen Zellweger	Icedogs
Oliwer Kaski	Icedogs
Oskar Olausson	Icedogs
Paul Bittner	Icedogs
Roby Jarventie	Icedogs
Ryan Johnson	Icedogs	2020	36
Ryan MacInnis	Icedogs
Ryan O'Rourke	Icedogs
Sami Niku	Icedogs	2018	79
Sasha Chmelevski	Icedogs
Sean Behrens	Icedogs
Shane Bowers	Icedogs	2018	64
Tyler Parsons	Icedogs
Valentin Zykov	Icedogs
Zachary Senyshyn	Icedogs

Draft Picks

Year	R1	R2	R3	R4	R5
2023	IDS BJT	IDS GON	GON		KRA IDS
2024	IDS	IDS	IDS	OLS	IDS
2025	IDS			IDS	IDS
2026	IDS	IDS FGI	IDS	IDS	IDS
2027	IDS	IDS	IDS	IDS	IDS

STHS News Database File Not Found. Please create one from the League News Management or the STHS.

Icedogs Trade History

[2023-07-07 00:02:07] - Icedogs was eliminated at round 4 of year 2022.
[2023-06-28 23:13:31] - Monkeys was eliminated at round 3 of year 2022.
[2023-04-24 20:59:05] - New Record for Team's Most Goals (9) in 1 Game for Icedogs!
[2023-03-18 18:06:56] - Jordan Staal has been selected as assistant for Icedogs.
[2023-03-18 18:06:56] - Unknown Player is no longer as assistant for Icedogs.
[2023-02-27 20:15:33] - Michael Dal Colle was released.
[2023-02-27 20:15:33] - Icedogs paid 0 $ to release Michael Dal Colle.
[2023-02-27 20:15:15] - Nate Thompson was released.
[2023-02-27 20:15:15] - Icedogs paid 0 $ to release Nate Thompson.
[2023-02-15 21:14:29] - Sean Kuraly signed with Icedogs for 1 775 500 $ for 4 year(s) / Option : No Trade.
[2023-02-15 21:14:29] - Sean Kuraly was added to Icedogs.
[2023-02-15 20:41:42] - Pius Suter was added to Icedogs.
[2023-02-15 20:12:29] - Laurent Brossoit signed with Icedogs for 1 750 000 $ for 2 year(s) / Option : No Trade.
[2023-02-15 20:12:29] - Laurent Brossoit was added to Icedogs.
[2023-02-15 20:08:43] - Jordan Staal signed with Icedogs for 6 250 000 $ for 2 year(s) / Option : No Trade.
[2023-02-15 20:08:43] - Jordan Staal was added to Icedogs.

[2023-09-19 13:36:59] 10 000 000 $ was added to Icedogs bank account.
[2023-09-17 21:03:24] 7 000 000 $ was added to Icedogs bank account.
[2023-09-17 20:54:48] 7 000 000 $ was added to Icedogs bank account.
[2023-07-07 00:02:07] Jakob Chychrun from Icedogs is back from Sore Left Knee Injury.
[2023-07-07 00:02:04] Game 104 - Jakob Chychrun from Icedogs is injured (Sore Left Knee) and is out for 2 days.
[2023-07-07 00:01:59] Auto Lines Function has been run for Icedogs.
[2023-07-07 00:01:59] Auto Roster Partial Function has been run for Icedogs.
[2023-07-05 23:48:26] Jordan Staal from Icedogs is back from Bruised Right Arm Injury.
[2023-07-05 23:48:23] Game 103 - Jordan Staal from Icedogs is injured (Bruised Right Arm) and is out for 4 days.
[2023-07-04 23:24:22] Auto Lines Function has been run for Icedogs.
[2023-07-03 23:08:53] Icedogs lines for next game are empty. Current rosters/lines are not erased.
[2023-07-02 23:42:44] Icedogs lines for next game are empty. Current rosters/lines are not erased.
[2023-07-01 21:10:58] Icedogs lines for next game are empty. Current rosters/lines are not erased.
[2023-06-28 23:13:31] Both Icedogs and Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2023-06-28 23:13:31] Farm Game #93 - Philipp Kurashev from Monkeys has scored a Hat Trick!
[2023-06-27 21:23:11] Both Icedogs and Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2023-06-27 21:23:11] Last 7 Days Pro Star : 1 - Jonathan Quick of Icedogs (0,932) / 2 - Claude Giroux of Chiefs (6-4-10) / 3 - Taylor Hall of Chiefs (4-2-6)
[2023-06-26 21:00:05] Both Icedogs and Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2023-06-25 20:53:00] Current fund for Icedogs is under 0 $.
[2023-06-25 20:01:31] Current fund for Icedogs is under 0 $.
[2023-06-25 20:01:11] Both Icedogs and Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2023-06-25 11:07:26] Current fund for Icedogs is under 0 $.
[2023-06-25 10:41:40] Current fund for Icedogs is under 0 $.
[2023-06-25 10:41:30] Both Icedogs and Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2023-06-25 10:41:22] Auto Lines Function has been run for Icedogs.
[2023-06-25 10:41:22] Auto Roster Partial Function has been run for Icedogs.
[2023-06-24 05:55:06] Current fund for Icedogs is under 0 $.
[2023-06-24 05:54:44] Henri Jokiharju of Icedogs was sent to farm.
[2023-06-24 05:54:44] Mark Giordano from Icedogs completes suspension
[2023-06-24 05:54:35] Auto Lines Function has been run for Icedogs.
[2023-06-24 05:54:34] Auto Roster Partial Function has been run for Icedogs.
[2023-06-24 05:54:34] Henri Jokiharju of Icedogs was sent to pro.
[2023-06-22 21:28:29] Current fund for Icedogs is under 0 $.
[2023-06-22 21:10:18] Current fund for Icedogs is under 0 $.
[2023-06-22 21:10:04] Game 77 - Mark Giordano from Icedogs suspended for 1 game(s)
[2023-06-21 22:11:12] Current fund for Icedogs is under 0 $.
[2023-06-21 22:00:50] Current fund for Icedogs is under 0 $.
[2023-06-21 13:22:45] Current fund for Icedogs is under 0 $.
[2023-06-21 10:58:47] Current fund for Icedogs is under 0 $.
[2023-06-21 10:58:35] Monkeys lines for next game are empty. Current rosters/lines are not erased. But, Icedogs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2023-06-21 10:58:35] Last 7 Days Farm Star : 1 - Philipp Kurashev of Monkeys (10-13-23) / 2 - Victor Rask of Distraction (11-9-20) / 3 - Ty Dellandrea of Destroyers (5-7-12)
[2023-06-21 10:58:35] Farm Game #70 - Filip Zadina from Monkeys has scored a Hat Trick!
[2023-06-20 10:54:43] Current fund for Icedogs is under 0 $.
[2023-06-20 00:19:42] Current fund for Icedogs is under 0 $.
[2023-06-20 00:19:33] Monkeys lines for next game are empty. Current rosters/lines are not erased. But, Icedogs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2023-06-20 00:19:33] Farm Game #66 - Philipp Kurashev from Monkeys has scored a Hat Trick!
[2023-06-19 08:26:25] Current fund for Icedogs is under 0 $.

No Injury or Suspension.

Icedogs Stat Leaders (Regular Season)

Show or Hide Column

#	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
1	Roope Hintz	235	65	83	148	24	81	337	259	638	10.19%	75	3888	16.55	14	24	38	47	1	0	1	7	15	3	51.74	1	0.76	6	17
2	Kyle Connor	82	40	63	103	16	27	59	80	399	10.03%	41	1814	22.13	14	16	30	50	0	1	1	5	6	0	40.74	2	1.14	5	13
3	Ryan O'reilly	80	42	57	99	13	22	129	197	292	14.38%	45	1973	24.67	15	15	30	42	2	1	3	7	8	3	56.30	1	1.00	5	13
4	Aleksander Barkov	80	32	57	89	-4	24	133	173	303	10.56%	31	1809	22.62	12	15	27	38	0	0	0	3	4	3	56.40	0	0.98	2	17
5	Patrice Bergeron	78	38	49	87	17	58	121	180	241	15.77%	42	1700	21.80	13	15	28	39	1	1	2	6	3	2	55.16	2	1.02	4	13

Icedogs Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Ben Bishop	78	45	25	8	0.921	2.53	4720	6	1	199	2520	1285	3	1	0.735	49
2	Thatcher Demko	51	32	15	3	0.922	2.46	3030	4	1	124	1597	817	3	1	0.556	9
3	Jeremy Swayman	48	24	14	8	0.918	2.50	2828	6	2	118	1444	689	1	0	0.750	40
4	Philipp Grubauer	32	20	7	5	0.919	2.58	1933	2	0	83	1024	482	0	0	0.778	27
5	Ville Husso	49	18	26	4	0.919	2.78	2932	0	0	136	1682	850	4	3	0.667	21

Icedogs Career Team Stats

Show or Hide Column

	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
Regular Season
2020	82	36	26	0	3	4	8	5	249	219	30	41	18	12	0	2	1	5	3	118	107	11	41	18	14	0	1	3	3	2	131	112	19	103	249	418	667	2	1	69	90	79	20	2796	930	947	897	70	2645	867	480	1630	254	51	20.08%	170	35	79.41%	3	1010	1912	52.82%	914	1768	51.70%	648	1213	53.42%	1875	1139	1700	707	1416	722
2021	82	45	22	0	4	2	3	6	264	214	50	41	19	13	0	4	1	2	2	130	112	18	41	26	9	0	0	1	1	4	134	102	32	112	264	433	697	1	1	75	87	95	11	2699	944	866	871	54	2622	828	524	1691	261	58	22.22%	232	41	82.33%	2	1036	1982	52.27%	977	1867	52.33%	597	1140	52.37%	1817	1085	1751	729	1398	699
2022	82	31	28	0	1	3	8	11	247	242	5	41	16	12	0	1	1	2	9	126	115	11	41	15	16	0	0	2	6	2	121	127	-6	94	247	402	649	1	3	67	101	70	23	2678	861	918	889	84	2526	822	660	1823	224	43	19.20%	260	57	78.08%	2	1068	1945	54.91%	972	1818	53.47%	638	1164	54.81%	1851	1101	1728	736	1438	716
Total Regular Season	246	93	93	0	14	4	21	21	768	737	31	123	47	48	0	7	2	12	7	386	362	24	123	46	45	0	7	2	9	14	382	375	7	281	768	1253	2021	6	2	229	244	260	63	8050	2696	2727	2567	229	8000	2595	2447	5283	753	173	22.97%	818	162	80.20%	12	2688	5602	47.98%	2732	5654	48.32%	1738	3581	48.53%	5280	3050	5359	2247	4348	2154
Playoff
2020	5	1	4	0	0	0	0	0	11	21	-10	3	0	3	0	0	0	0	0	6	16	-10	2	1	1	0	0	0	0	0	5	5	0	2	11	19	30	0	0	5	2	4	0	183	75	48	55	5	194	68	23	113	14	0	0.00%	9	2	77.78%	1	68	122	55.74%	62	111	55.86%	34	77	44.16%	119	73	104	41	83	43
2021	6	2	4	0	0	0	0	0	16	19	-3	3	2	1	0	0	0	0	0	12	11	1	3	0	3	0	0	0	0	0	4	8	-4	4	16	26	42	1	0	2	10	3	1	221	68	97	49	7	188	65	26	120	19	7	36.84%	13	2	84.62%	0	99	170	58.24%	85	135	62.96%	56	85	65.88%	140	85	129	53	106	54
2022	12	6	6	0	0	0	0	0	33	30	3	6	4	2	0	0	0	0	0	17	13	4	6	2	4	0	0	0	0	0	16	17	-1	12	33	57	90	0	0	13	9	10	1	330	116	92	112	10	393	132	124	231	41	11	26.83%	41	7	82.93%	1	137	259	52.90%	157	307	51.14%	69	151	45.70%	250	137	264	115	221	110
Total Playoff	35	18	17	0	0	0	0	0	98	112	-14	17	8	9	0	0	0	0	0	46	59	-13	18	10	8	0	0	0	0	0	52	53	-1	36	98	166	264	2	0	24	38	32	4	1075	351	358	344	22	1209	334	347	702	114	24	21.05%	127	20	84.25%	2	391	815	47.98%	365	815	44.79%	246	498	49.40%	726	405	793	320	613	306

Icedogs Stat Leaders (Play-Off)

Show or Hide Column

#	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%	P/20
1	Roope Hintz	23	7	6	13	-8	0	37	36	52	13.46%	3	417	18.15	3	2	5	7	1	0	1	1	2	0	44.59	0.62
2	Roman Josi	18	2	9	11	-6	25	20	28	31	6.45%	33	510	28.35	1	3	4	7	0	1	1	1	0	0	0.00%	0.43
3	Patrick Kane	12	4	6	10	-6	5	14	15	32	12.50%	13	282	23.53	1	4	5	2	0	0	0	1	1	0	33.33	0.71
4	Aleksander Barkov	11	3	6	9	-1	6	17	39	39	7.69%	8	266	24.21	1	2	3	2	0	0	0	0	0	0	56.10	0.68
5	Trevor Zegras	12	4	5	9	-2	0	17	9	40	10.00%	4	219	18.33	1	2	3	8	0	0	0	0	1	1	33.33	0.82

Icedogs Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	PS %
1	Jeremy Swayman	11	6	4	1	0.931	2.23	672	8	25	363	159	1	0.00%
2	Thatcher Demko	4	2	2	0	0.895	3.00	240	0	12	114	51	1	0.00%
3	Ben Bishop	5	1	3	1	0.891	4.30	293	2	21	192	93	0	0.00%
4	Joonas Korpisalo	1	0	0	0	1.000	0.00%	14	0	0	2	2	0	0.00%
5	Ville Husso	1	0	0	1	0.833	4.84	62	0	5	30	12	1	0.00%

	Icedogs
	GP: 23 \| W: 14 \| L: 9 GF: 68 \| GA: 68 \| PP%: 20.73% \| PK%: 85.71% GM : Fred Joanis \| Morale : 99 \| Team Overall : 76