Ligue de hockey simulé de Maniwaki

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

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 (A)	X				99.00	76	67	94	85	86	87	74	93	84	88	98	91	86	79	89	0	56	83	0	27	3	5,350,000$
2	Ryan Nugent-Hopkins	X	X			99.00	70	59	89	89	80	86	83	87	71	88	85	86	73	80	86	0	54	80	0	27	2	6,000,000$
3	Bo Horvat (C)	X				100.00	75	68	93	90	87	85	87	84	96	84	84	78	74	77	90	0	65	80	0	26	4	5,500,000$
4	Elias Lindholm	X		X		99.00	83	67	93	85	81	85	89	84	79	80	88	83	69	78	84	0	68	79	0	26	5	4,850,000$
5	Filip Forsberg		X			100.00	83	65	90	88	84	83	78	84	50	83	85	76	84	80	88	0	66	78	0	26	3	6,000,000$
6	Tom Wilson			X		100.00	97	91	71	84	92	84	85	82	50	80	84	84	63	82	84	0	65	78	0	27	1	3,875,000$
7	Brendan Gallagher (A)			X		100.00	76	69	89	85	81	82	72	84	51	80	87	80	65	80	88	0	66	77	0	28	2	3,750,000$
8	Timo Meier		X	X		100.00	92	67	87	86	86	83	86	83	50	82	84	74	73	74	78	0	73	77	0	24	1	4,500,000$
9	Travis Zajac	X				100.00	75	64	91	87	84	83	85	74	87	74	73	86	55	90	87	0	47	77	0	35	2	5,750,000$
10	Nate Thompson	X	X			100.00	88	77	91	79	88	78	82	68	85	69	67	85	50	87	82	0	67	75	0	36	1	1,875,000$
11	Derek Grant	X				100.00	77	67	88	83	87	79	67	76	80	70	82	86	62	73	74	0	22	74	0	30	1	776,000$
12	Craig Smith			X		100.00	76	66	89	86	83	79	82	76	58	70	81	77	64	83	84	0	66	74	0	31	1	925,000$
13	Rasmus Ristolainen				X	99.00	94	72	86	87	90	88	90	77	50	82	69	80	52	76	85	0	74	79	0	26	3	5,400,000$
14	David Savard				X	99.00	90	72	89	85	90	86	87	66	50	69	60	82	50	80	84	0	51	77	0	30	2	4,250,000$
15	Cale Makar (R)				X	100.00	75	58	95	90	77	87	73	85	50	90	78	71	59	69	75	0	63	77	0	22	2	2,854,166$
16	Brandon Carlo				X	100.00	90	66	89	84	85	86	86	71	50	73	67	89	50	75	77	0	69	77	0	24	2	2,850,000$
17	Jakob Chychrun (R)				X	100.00	81	68	87	83	86	88	82	76	50	73	77	77	58	72	76	0	61	75	0	23	1	4,000,000$
18	Hampus Lindholm				X	100.00	72	68	87	87	85	89	72	74	50	81	65	77	50	80	82	0	40	74	0	27	3	5,250,000$
Scratches
1	Artturi Lehkonen		X	X		100.00	89	63	92	84	79	81	85	74	56	71	76	87	57	73	75	0	54	74	0	25	2	2,400,000$
Farm Team
1	Filip Zadina (R)			X		100.00	68	55	98	87	77	81	35	80	50	76	83	69	62	66	66	0	28	71	0	21	3	1,775,000$
2	Trevor Moore (R)	X				98.00	85	62	96	89	80	78	49	71	50	67	74	78	56	68	67	0	75	70	0	26	2	775,000$
3	Maxime Comtois (R)		X			98.00	91	69	82	84	88	79	35	74	50	72	75	68	72	66	68	0	77	69	0	22	2	925,000$
4	Michael Dal Colle (R)		X			100.00	87	64	95	82	85	77	61	68	50	67	68	71	51	68	69	0	76	68	0	24	2	700,000$
5	Pontus Aberg (R)		X	X		100.00	54	54	90	88	75	74	35	66	50	71	60	70	50	70	70	0	63	64	0	27	1	700,000$
6	Kris Russell				X	100.00	83	60	94	85	77	82	67	66	50	69	60	84	50	87	88	0	62	74	0	33	2	2,500,000$
7	Henri Jokiharju (R)				X	100.00	79	63	90	89	80	83	85	69	50	69	67	70	50	69	71	0	68	72	0	21	2	1,279,167$
8	Matt Benning				X	100.00	89	67	92	82	83	79	51	68	50	69	64	73	50	72	73	0	29	71	0	26	1	1,900,000$
9	Mario Ferraro (R)				X	100.00	91	56	89	89	81	81	74	68	50	69	65	69	50	68	69	0	61	71	0	22	3	1,137,500$
10	Mirco Mueller (R)				X	100.00	82	61	90	85	83	83	62	67	50	67	65	78	50	70	70	0	28	71	0	26	1	1,400,000$
11	Cale Fleury (R)				X	100.00	93	67	96	84	86	80	49	63	50	60	64	68	50	67	66	0	32	69	0	22	2	883,333$
12	Christian Djoos (R)				X	100.00	53	59	95	84	75	85	35	71	50	70	69	74	52	70	69	0	46	66	0	26	1	1,250,000$
13	Madison Bowey (R)				X	93.66	78	69	86	84	81	83	66	73	50	77	67	67	50	70	70	0	47	70	0	25	1	1,000,000$

	TEAM AVERAGE					99.50	81	66	90	86	83	83	70	75	58	75	74	78	59	75	78	0	57	74

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	Frederik Andersen	98.00	76	85	87	96	74	77	79	77	77	79	76	82	84	0	66	79	0	31	2	5,000,000$
2	Jonathan Quick	100.00	75	79	83	89	77	75	78	75	74	72	76	93	91	0	66	77	0	35	4	1,750,000$
3	Oscar Dansk (R)	100.00	65	57	68	88	62	64	69	65	65	63	69	63	64	0	33	65	0	27	1	675,000$
Scratches
Farm Team

	TEAM AVERAGE	99.33	72	74	79	91	71	72	75	72	72	71	74	79	80	0	55	74

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
David Quinn	81	83	87	85	71	69	99	USA	54	3	1,250,000$

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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ryan Nugent-Hopkins	Icedogs	C/LW	48	14	27	41	2	47	5	76	69	186	42	123	7.53%	32	998	20.79	3	14	17	24	137	2	46	4	1	47.71%	109	41	19	2	0.82	1	4	0	0	0	2	3	3
2	Mika Zibanejad	Icedogs	C	47	17	23	40	-8	11	5	73	90	190	53	105	8.95%	24	997	21.23	7	8	15	28	130	1	53	2	2	55.06%	1353	38	21	0	0.80	2	9	0	0	1	6	3	2
3	Cale Makar	Icedogs	D	49	6	22	28	-1	25	15	39	70	95	39	28	6.32%	53	1238	25.28	2	5	7	12	136	6	127	2	0	0.00%	0	24	41	0	0.45	0	0	2	0	1	3	1	1
4	Bo Horvat	Icedogs	C	49	10	18	28	-7	29	15	55	65	131	51	80	7.63%	19	853	17.42	1	2	3	8	112	2	50	3	1	58.10%	611	30	11	0	0.66	3	8	0	1	2	1	2	3
5	Elias Lindholm	Icedogs	C/RW	49	11	15	26	0	42	10	73	54	125	40	62	8.80%	26	971	19.83	4	7	11	17	140	2	22	0	3	53.62%	69	31	19	0	0.54	2	6	0	0	2	2	3	1
6	Timo Meier	Icedogs	LW/RW	49	9	15	24	-3	27	15	59	44	117	34	76	7.69%	12	596	12.18	1	0	1	1	10	0	6	0	0	27.27%	33	29	15	0	0.80	1	3	2	0	1	0	1	1
7	Filip Forsberg	Icedogs	LW	49	12	9	21	-8	4	0	73	60	143	33	90	8.39%	19	865	17.66	1	2	3	13	114	1	29	0	1	31.03%	29	17	17	0	0.49	2	8	0	0	0	1	3	2
8	Brendan Gallagher	Icedogs	RW	49	10	10	20	-3	6	0	80	51	128	37	78	7.81%	22	699	14.28	1	0	1	3	80	3	50	1	1	32.14%	28	20	11	0	0.57	1	2	0	0	0	2	2	1
9	Rasmus Ristolainen	Icedogs	D	49	3	14	17	-8	70	20	83	89	75	20	30	4.00%	64	1310	26.74	1	3	4	8	154	3	124	0	0	0.00%	0	23	43	0	0.26	0	0	2	0	2	0	0	0
10	Tom Wilson	Icedogs	RW	48	3	12	15	-7	99	25	85	38	90	29	60	3.33%	23	695	14.50	1	2	3	5	36	1	0	0	1	31.03%	29	21	17	0	0.43	2	5	3	0	2	0	0	1
11	Craig Smith	Icedogs	RW	49	4	10	14	0	14	0	26	23	67	27	29	5.97%	12	379	7.74	0	0	0	0	7	0	2	1	0	66.67%	9	18	2	0	0.74	1	1	0	0	0	0	0	2
12	Brandon Carlo	Icedogs	D	49	2	11	13	7	27	15	56	60	34	17	18	5.88%	56	986	20.13	1	1	2	1	102	1	94	0	0	0.00%	0	8	33	0	0.26	0	1	0	0	3	0	0	0
13	Nate Thompson	Icedogs	C/LW	49	5	6	11	1	5	5	46	57	32	10	21	15.63%	18	528	10.78	0	0	0	0	6	2	107	3	0	54.15%	301	4	15	0	0.42	0	0	0	0	1	0	2	0
14	David Savard	Icedogs	D	48	3	7	10	-8	51	25	53	61	38	24	20	7.89%	64	1091	22.74	2	2	4	4	114	1	108	0	1	0.00%	1	11	23	0	0.18	0	0	0	2	3	0	0	1
15	Artturi Lehkonen	Icedogs	LW/RW	38	4	6	10	6	2	0	27	25	54	27	39	7.41%	13	394	10.38	0	0	0	0	0	6	92	0	0	50.00%	14	8	8	0	0.51	0	0	0	0	0	0	0	0
16	Travis Zajac	Icedogs	C	47	4	5	9	-3	13	5	43	55	54	16	33	7.41%	21	587	12.51	0	0	0	1	6	2	45	2	0	55.06%	316	7	10	0	0.31	0	0	0	1	0	0	0	0
17	Jakob Chychrun	Icedogs	D	43	2	3	5	-8	30	0	35	34	34	6	6	5.88%	30	557	12.97	1	0	1	2	13	0	4	0	0	0.00%	1	7	13	0	0.18	0	0	0	0	0	0	0	0
18	Henri Jokiharju	Monkeys (IDS)	D	19	0	2	2	3	2	0	7	15	7	4	4	0.00%	14	262	13.83	0	0	0	0	1	0	22	0	0	0.00%	0	1	6	0	0.15	0	0	0	0	0	0	0	0
19	Hampus Lindholm	Icedogs	D	36	0	1	1	-7	12	0	20	42	12	10	11	0.00%	21	475	13.19	0	0	0	0	1	0	29	0	0	0.00%	0	1	14	0	0.04	0	0	0	0	0	0	0	0
20	Derek Grant	Icedogs	C	16	0	0	0	-3	2	0	3	5	10	3	5	0.00%	0	90	5.65	0	0	0	0	2	0	3	0	0	45.71%	35	0	3	0	0.00	0	0	0	0	0	0	0	0
21	Michael Dal Colle	Monkeys (IDS)	LW	1	0	0	0	-1	0	0	0	1	0	0	0	0.00%	0	7	7.27	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0	0	0	0
22	Kris Russell	Monkeys (IDS)	D	1	0	0	0	0	0	0	1	1	0	1	0	0.00%	1	17	17.00	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				882	119	216	335	-56	518	160	1013	1009	1622	523	918	7.34%	544	14604	16.56	26	46	72	127	1310	33	1025	18	11	54.15%	2938	339	341	2	0.46	15	47	9	4	18	17	20	18

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	PS %	PSA	ST	BG	S1	S2	S3
1	Frederik Andersen	Icedogs	49	25	18	6	0.915	2.58	2951	1	127	1492	746	0.717	46	49	0	6	5	4
2	Jonathan Quick	Icedogs	2	0	0	0	0.800	7.14	42	0	5	25	12	0.000	0	0	49	0	0	0
Team Total or Average			51	25	18	6	0.913	2.65	2994	1	132	1517	758	0.717	46	49	49	6	5	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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Link
Artturi Lehkonen	Icedogs	LW/RW	25	1995-07-04 09:26:19	No	183 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,400,000$	865,306$	2,400,000$	865,306$	No	2,400,000$				Link
Bo Horvat	Icedogs	C	26	1995-04-05 09:26:19	No	223 Lbs	6 ft0	No	No	No	4	Pro & Farm	5,500,000$	1,982,993$	5,500,000$	1,982,993$	No	5,500,000$	5,500,000$	5,500,000$		Link
Brandon Carlo	Icedogs	D	24	1996-11-26 15:26:19	No	212 Lbs	6 ft5	No	No	No	2	Pro Only	2,850,000$	1,027,551$	2,850,000$	1,027,551$	No	2,850,000$				Link
Brendan Gallagher	Icedogs	RW	28	1992-05-06 15:26:19	No	184 Lbs	5 ft9	No	No	No	2	Pro & Farm	3,750,000$	1,352,040$	3,750,000$	1,352,041$	No	3,750,000$				Link
Cale Makar	Icedogs	D	22	1998-10-30 15:32:47	Yes	187 Lbs	5 ft11	No	No	No	2	Pro Only	2,854,166$	1,029,053$	2,854,166$	1,029,053$	No	2,854,166$
Craig Smith	Icedogs	RW	31	1989-09-05 21:26:19	No	208 Lbs	6 ft1	No	No	No	1	Pro Only	925,000$	333,503$	925,000$	333,503$	No					Link
David Savard	Icedogs	D	30	1990-10-22 03:26:19	No	227 Lbs	6 ft2	No	No	No	2	Pro Only	4,250,000$	1,532,312$	4,250,000$	1,532,313$	No	4,250,000$				Link
Derek Grant	Icedogs	C	30	1990-04-20 16:02:45	No	215 Lbs	6 ft3	Yes	No	No	1	Pro Only	776,000$	279,782$	776,000$	279,782$	No					Link
Elias Lindholm	Icedogs	C/RW	26	1994-12-02 03:26:19	No	192 Lbs	6 ft1	No	No	No	5	Pro Only	4,850,000$	1,748,639$	4,850,000$	1,748,639$	No	4,850,000$	4,850,000$	4,850,000$	4,850,000$	Link
Filip Forsberg	Icedogs	LW	26	1994-08-13 03:26:19	No	205 Lbs	6 ft1	No	No	No	3	Pro Only	6,000,000$	2,163,265$	6,000,000$	2,163,265$	No	6,000,000$	6,000,000$			Link
Frederik Andersen	Icedogs	G	31	1989-10-02 21:26:20	No	238 Lbs	6 ft4	No	No	No	2	Pro Only	5,000,000$	1,802,721$	5,000,000$	1,802,721$	No	5,000,000$
Hampus Lindholm	Icedogs	D	27	1994-01-20 03:26:19	No	208 Lbs	6 ft3	No	No	No	3	Pro Only	5,250,000$	1,892,857$	5,250,000$	1,892,857$	No	5,250,000$	5,250,000$			Link
Jakob Chychrun	Icedogs	D	23	1998-03-31 03:26:19	Yes	210 Lbs	6 ft2	No	No	No	1	Pro Only	4,000,000$	1,442,176$	4,000,000$	1,442,177$	No					Link
Jonathan Quick	Icedogs	G	35	1986-01-21 03:26:20	No	216 Lbs	6 ft1	No	No	No	4	Pro Only	1,750,000$	630,952$	1,750,000$	630,952$	No	1,750,000$	1,750,000$	1,750,000$
Mika Zibanejad	Icedogs	C	27	1993-04-18 21:26:19	No	211 Lbs	6 ft2	No	No	No	3	Pro & Farm	5,350,000$	1,928,911$	5,350,000$	1,928,912$	No	5,350,000$	5,350,000$			Link
Nate Thompson	Icedogs	C/LW	36	1984-10-05 15:26:19	No	210 Lbs	6 ft0	Yes	No	No	1	Pro Only	1,875,000$	676,020$	1,875,000$	676,020$	No					Link
Oscar Dansk	Icedogs	G	27	1994-02-28 04:28:22	Yes	204 Lbs	6 ft3	No	No	No	1	Pro & Farm	675,000$	243,367$	675,000$	243,367$	No
Rasmus Ristolainen	Icedogs	D	26	1994-10-27 03:26:19	No	215 Lbs	6 ft4	No	No	No	3	Pro Only	5,400,000$	1,946,938$	5,400,000$	1,946,939$	No	5,400,000$	5,400,000$			Link
Ryan Nugent-Hopkins	Icedogs	C/LW	27	1993-04-12 21:26:19	No	184 Lbs	6 ft0	No	No	No	2	Pro Only	6,000,000$	2,163,265$	6,000,000$	2,163,265$	No	6,000,000$				Link
Timo Meier	Icedogs	LW/RW	24	1996-10-08 15:26:19	No	215 Lbs	6 ft0	No	No	No	1	Pro Only	4,500,000$	1,622,448$	4,500,000$	1,622,449$	No					Link
Tom Wilson	Icedogs	RW	27	1994-03-29 03:26:19	No	220 Lbs	6 ft4	No	No	No	1	Pro Only	3,875,000$	1,397,108$	3,875,000$	1,397,109$	No					Link
Travis Zajac	Icedogs	C	35	1985-05-13 21:26:19	No	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	5,750,000$	2,073,129$	5,750,000$	2,073,129$	No	5,750,000$				Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	27.86	208 Lbs	6 ft2	2.18	3,799,098$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
83,580,166$	66,954,166$	34,100,000$	12,100,000$	4,850,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ryan Nugent-Hopkins	Mika Zibanejad	Elias Lindholm	40	1	2	2
2	Filip Forsberg	Bo Horvat	Tom Wilson	30	1	2	2
3	Timo Meier	Travis Zajac	Brendan Gallagher	20	1	2	2
4	Mika Zibanejad	Nate Thompson	Craig Smith	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Ristolainen	David Savard	40	1	2	2
2	Cale Makar	Brandon Carlo	30	1	2	2
3	Jakob Chychrun	Hampus Lindholm	20	1	2	2
4	Rasmus Ristolainen	David Savard	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ryan Nugent-Hopkins	Mika Zibanejad	Elias Lindholm	60	1	2	2
2	Filip Forsberg	Bo Horvat	Tom Wilson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Ristolainen	David Savard	60	1	2	2
2	Cale Makar	Brandon Carlo	40	1	2	2

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

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Ristolainen	David Savard	60	1	2	2
2	Cale Makar	Brandon Carlo	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	Rasmus Ristolainen	David Savard	60	1	2	2
2	Bo Horvat	40	1	2	2	Cale Makar	Brandon Carlo	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mika Zibanejad	Bo Horvat	60	1	2	2
2	Ryan Nugent-Hopkins	Elias Lindholm	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Ristolainen	David Savard	60	1	2	2
2	Cale Makar	Brandon Carlo	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Ryan Nugent-Hopkins	Mika Zibanejad	Elias Lindholm	Rasmus Ristolainen	David Savard

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ryan Nugent-Hopkins	Mika Zibanejad	Elias Lindholm	Rasmus Ristolainen	David Savard

Extra Forwards
Normal	PowerPlay	Penalty Kill
Derek Grant, Travis Zajac, Brendan Gallagher	Derek Grant, Travis Zajac	Brendan Gallagher

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jakob Chychrun, Hampus Lindholm, Cale Makar	Jakob Chychrun	Hampus Lindholm, Cale Makar

Penalty Shots
Mika Zibanejad, Bo Horvat, Ryan Nugent-Hopkins, Elias Lindholm, Tom Wilson

Goalie
#1 : Frederik Andersen, #2 : Jonathan Quick, #3 : Oscar Dansk

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	Bikers	4	2	1	0	0	1	0	0	11	13	-2	3	2	1	0	0	0	0	0	9	10	-1	1	0	0	0	0	1	0	0	2	3	-1	5	0.625	11	17	28	0	0	4	3	4	0	125	44	43	38	0	122	51	51	80	10	1	10.00%	13	2	84.62%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	83	47	87	37	72	36
2	Blue Jackets	3	0	2	0	0	0	0	1	4	8	-4	1	0	1	0	0	0	0	0	2	3	-1	2	0	1	0	0	0	0	1	2	5	-3	1	0.167	4	7	11	0	0	1	1	2	1	106	34	36	35	6	90	33	40	71	9	0	0.00%	6	0	100.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	68	39	61	26	54	27
3	Bulldogs	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	4	3	1	2	1.000	4	8	12	0	0	0	1	2	1	21	8	4	8	1	41	15	12	20	4	2	50.00%	6	1	83.33%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	21	11	22	8	16	7
4	Dogbones	2	1	0	0	0	0	1	0	8	5	3	2	1	0	0	0	0	1	0	8	5	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	8	13	21	0	0	3	3	1	1	56	24	20	11	6	47	21	13	43	8	2	25.00%	4	1	75.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	44	26	40	20	39	19
5	Fighting Irish	4	1	2	0	0	0	1	0	10	10	0	2	0	1	0	0	0	1	0	3	4	-1	2	1	1	0	0	0	0	0	7	6	1	4	0.500	10	17	27	0	0	1	3	5	1	128	45	45	36	4	122	51	36	79	12	1	8.33%	13	2	84.62%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	89	51	83	36	71	37
6	Flash	3	1	1	0	0	0	1	0	13	13	0	2	1	1	0	0	0	0	0	7	8	-1	1	0	0	0	0	0	1	0	6	5	1	4	0.667	13	20	33	0	0	2	5	5	2	110	33	44	32	9	92	35	54	59	14	3	21.43%	12	3	75.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	68	41	64	26	51	25
7	Gongshow	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	1	0	2	0	66	31	15	20	0	83	29	40	43	7	1	14.29%	10	2	80.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	42	25	45	17	31	15
8	Kraken	2	1	0	0	1	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	1	0	0	0	7	5	2	4	1.000	7	12	19	0	0	2	1	3	1	71	24	17	29	1	70	18	23	40	4	1	25.00%	4	0	100.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	44	25	40	17	36	17
9	LumberJacks	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	3	5	0	0	1	0	1	0	27	7	10	9	4	23	9	16	23	3	2	66.67%	8	2	75.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	21	10	21	11	21	9
10	Mariners	3	0	2	0	0	1	0	0	6	10	-4	1	0	1	0	0	0	0	0	3	4	-1	2	0	1	0	0	1	0	0	3	6	-3	1	0.167	6	11	17	0	0	0	4	2	0	111	29	39	43	0	82	30	37	66	7	3	42.86%	11	0	100.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	68	39	59	26	52	25
11	Nordiques	2	1	0	0	0	0	0	1	5	4	1	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	5	9	14	0	0	2	1	2	0	62	15	23	23	3	66	24	12	49	9	3	33.33%	6	1	83.33%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	46	26	43	18	35	17
12	Oilers	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	1	0	0	31	11	6	14	0	28	12	9	24	1	0	0.00%	2	1	50.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	21	12	21	8	16	9
13	Penguins	6	2	2	0	0	1	1	0	13	15	-2	4	1	2	0	0	1	0	0	7	11	-4	2	1	0	0	0	0	1	0	6	4	2	7	0.583	13	24	37	0	1	1	10	1	2	208	71	77	57	7	171	63	37	110	15	0	0.00%	16	2	87.50%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	135	80	123	53	107	53
14	Pirates	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	0	1	1	0	30	13	9	8	0	21	7	6	24	1	1	100.00%	3	0	100.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	23	13	17	8	19	9
15	Roadrunners	2	0	2	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	1	2	3	0	0	0	1	0	0	59	25	21	13	0	67	18	21	39	10	1	10.00%	9	4	55.56%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	43	24	42	17	34	18
16	Sens	2	2	0	0	0	0	0	0	6	3	3	2	2	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	6	12	18	0	0	4	0	2	0	79	33	17	29	0	66	25	4	47	7	0	0.00%	2	1	50.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	47	29	41	16	31	17
17	Stallions	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	1	5	4	1.000	9	18	27	0	0	1	3	5	0	79	24	18	37	0	71	20	41	38	13	3	23.08%	8	2	75.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	47	27	39	17	33	18
18	Thunder	3	0	1	0	0	0	2	0	7	7	0	1	0	0	0	0	0	1	0	2	1	1	2	0	1	0	0	0	1	0	5	6	-1	4	0.667	7	9	16	0	0	2	3	0	6	85	27	39	18	11	87	32	33	70	6	0	0.00%	9	2	77.78%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	68	38	63	28	57	28
	Total	49	16	18	0	2	3	7	3	126	135	-9	24	10	9	0	0	1	3	1	61	68	-7	25	6	9	0	2	2	4	2	65	67	-2	56	0.571	126	216	342	0	1	28	48	41	17	1622	557	542	507	62	1517	544	518	1013	153	26	16.99%	156	27	82.69%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	1093	636	1034	445	869	436
19	Wolf	3	1	1	0	0	0	1	0	8	7	1	1	1	0	0	0	0	0	0	4	3	1	2	0	1	0	0	0	1	0	4	4	0	4	0.667	8	12	20	0	0	1	5	1	2	113	42	38	30	10	99	29	15	49	8	1	12.50%	5	0	100.00%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	64	38	67	25	52	25
20	Wolverines	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	10	16	0	0	2	2	2	0	55	17	21	17	0	69	22	18	39	5	1	20.00%	9	1	88.89%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	40	22	46	18	33	16
	_Since Last GM Reset	49	16	18	0	2	3	7	3	126	135	-9	24	10	9	0	0	1	3	1	61	68	-7	25	6	9	0	2	2	4	2	65	67	-2	56	0.571	126	216	342	0	1	28	48	41	17	1622	557	542	507	62	1517	544	518	1013	153	26	16.99%	156	27	82.69%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	1093	636	1034	445	869	436
	_Vs Conference	27	9	9	0	1	1	6	1	71	69	2	14	5	5	0	0	1	3	0	35	35	0	13	4	4	0	1	0	3	1	36	34	2	34	0.630	71	120	191	0	1	16	28	20	14	904	315	310	269	44	794	297	255	567	77	8	10.39%	71	12	83.10%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	611	361	559	244	485	244
	_Vs Division	12	5	3	0	1	0	3	0	40	34	6	6	2	2	0	0	0	2	0	18	17	1	6	3	1	0	1	0	1	0	22	17	5	18	0.750	40	66	106	0	0	8	13	15	5	395	139	135	116	20	352	132	132	245	39	8	20.51%	36	6	83.33%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	270	159	248	109	217	108

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
49	56	L1	126	216	342	1622	1517	544	518	1013	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
49	16	18	2	3	7	3	126	135

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	10	9	0	1	3	1	61	68

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	6	9	2	2	4	2	65	67

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	6	1	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
153	26	16.99%	156	27	82.69%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
557	542	507	62	28	48	41	17

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
614	1102	55.72%	591	1102	53.63%	386	690	55.94%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1093	636	1034	445	869	436

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	SO	Link
1 - 2021-02-14	8	Fighting Irish	1	Icedogs	2	W	X	X	BoxScore
2 - 2021-02-15	15	Icedogs	3	Kraken	2	W			BoxScore
4 - 2021-02-17	26	Icedogs	6	Fighting Irish	1	W			BoxScore
6 - 2021-02-19	37	Penguins	0	Icedogs	1	W			BoxScore
9 - 2021-02-22	53	Penguins	2	Icedogs	1	L	X		BoxScore
11 - 2021-02-24	66	Roadrunners	4	Icedogs	1	L			BoxScore
12 - 2021-02-25	77	Icedogs	2	Thunder	4	L			BoxScore
14 - 2021-02-27	79	Icedogs	6	Flash	5	W	X	X	BoxScore
16 - 2021-03-01	98	Thunder	1	Icedogs	2	W	X	X	BoxScore
19 - 2021-03-04	108	Icedogs	1	Mariners	3	L			BoxScore
20 - 2021-03-05	115	Bikers	1	Icedogs	2	W			BoxScore
22 - 2021-03-07	127	Icedogs	4	Penguins	3	W			BoxScore
25 - 2021-03-10	141	Icedogs	3	Nordiques	1	W			BoxScore
26 - 2021-03-11	146	Bikers	1	Icedogs	4	W			BoxScore
29 - 2021-03-14	165	Sens	1	Icedogs	3	W			BoxScore
30 - 2021-03-15	175	Icedogs	4	Kraken	3	W	X		BoxScore
32 - 2021-03-17	183	Icedogs	2	Wolf	3	L			BoxScore
34 - 2021-03-19	191	Flash	1	Icedogs	3	W			BoxScore
36 - 2021-03-21	209	Mariners	4	Icedogs	3	L			BoxScore
38 - 2021-03-23	212	Icedogs	6	Stallions	1	W			BoxScore
40 - 2021-03-25	225	Icedogs	3	Gongshow	4	L			BoxScore
42 - 2021-03-27	237	Flash	7	Icedogs	4	L			BoxScore
44 - 2021-03-29	245	Icedogs	1	Blue Jackets	3	L			BoxScore
46 - 2021-03-31	254	Nordiques	3	Icedogs	2	L	X	X	BoxScore
48 - 2021-04-02	270	Wolverines	2	Icedogs	4	W			BoxScore
50 - 2021-04-04	284	Icedogs	3	Thunder	2	W	X	X	BoxScore
52 - 2021-04-06	288	Icedogs	2	LumberJacks	3	L	X	X	BoxScore
54 - 2021-04-08	301	Icedogs	2	Wolf	1	W	X	X	BoxScore
56 - 2021-04-10	311	Bikers	8	Icedogs	3	L			BoxScore
58 - 2021-04-12	325	Icedogs	1	Fighting Irish	5	L			BoxScore
60 - 2021-04-14	333	Dogbones	2	Icedogs	4	W			BoxScore
62 - 2021-04-16	347	Icedogs	2	Bikers	3	L	X		BoxScore
64 - 2021-04-18	353	Gongshow	5	Icedogs	0	L			BoxScore
66 - 2021-04-20	366	Wolf	3	Icedogs	4	W			BoxScore
68 - 2021-04-22	382	Sens	2	Icedogs	3	W			BoxScore
70 - 2021-04-24	386	Icedogs	0	Roadrunners	4	L			BoxScore
72 - 2021-04-26	401	Icedogs	2	Mariners	3	L	X		BoxScore
74 - 2021-04-28	416	Dogbones	3	Icedogs	4	W	X	X	BoxScore
77 - 2021-05-01	426	Icedogs	2	Penguins	1	W	X	X	BoxScore
78 - 2021-05-02	437	Blue Jackets	3	Icedogs	2	L			BoxScore
79 - 2021-05-03	447	Icedogs	2	Pirates	1	W			BoxScore
81 - 2021-05-05	454	Penguins	4	Icedogs	2	L			BoxScore
83 - 2021-05-07	470	Stallions	2	Icedogs	3	W			BoxScore
85 - 2021-05-09	480	Icedogs	1	Oilers	2	L			BoxScore
87 - 2021-05-11	490	Icedogs	4	Bulldogs	3	W	X		BoxScore
89 - 2021-05-13	498	Fighting Irish	3	Icedogs	1	L			BoxScore
91 - 2021-05-15	509	Icedogs	2	Wolverines	4	L			BoxScore
92 - 2021-05-16	521	Icedogs	1	Blue Jackets	2	L	X	X	BoxScore
94 - 2021-05-18	530	Penguins	5	Icedogs	3	L			BoxScore
96 - 2021-05-20	543	Icedogs	-	Fighting Irish	-
97 - 2021-05-21	549	Thunder	-	Icedogs	-
98 - 2021-05-22	563	Bulldogs	-	Icedogs	-
100 - 2021-05-24	573	Icedogs	-	Sens	-
102 - 2021-05-26	585	Chiefs	-	Icedogs	-
103 - 2021-05-27	595	Icedogs	-	Pirates	-
105 - 2021-05-29	607	Blue Jackets	-	Icedogs	-
106 - 2021-05-30	615	Icedogs	-	Kraken	-
107 - 2021-05-31	624	Icedogs	-	Oilers	-
109 - 2021-06-02	633	Wolverines	-	Icedogs	-
111 - 2021-06-04	648	Icedogs	-	Sens	-
112 - 2021-06-05	658	LumberJacks	-	Icedogs	-
113 - 2021-06-06	670	Icedogs	-	Bulldogs	-
114 - 2021-06-07	677	Kraken	-	Icedogs	-
115 - 2021-06-08	685	Icedogs	-	Stallions	-
117 - 2021-06-10	699	Oilers	-	Icedogs	-
119 - 2021-06-12	710	Icedogs	-	Chiefs	-
120 - 2021-06-13	719	Icedogs	-	Nordiques	-
122 - 2021-06-15	726	LumberJacks	-	Icedogs	-
123 - 2021-06-16	739	Icedogs	-	Chiefs	-
124 - 2021-06-17	747	Bulldogs	-	Icedogs	-
Trade Deadline --- Trades can’t be done after this day is simulated!
126 - 2021-06-19	764	Kraken	-	Icedogs	-
128 - 2021-06-21	774	Icedogs	-	Dogbones	-
129 - 2021-06-22	787	Pirates	-	Icedogs	-
130 - 2021-06-23	789	Icedogs	-	Flash	-
132 - 2021-06-25	804	Icedogs	-	Flash	-
133 - 2021-06-26	813	Oilers	-	Icedogs	-
135 - 2021-06-28	833	Stallions	-	Icedogs	-
136 - 2021-06-29	839	Icedogs	-	Gongshow	-
138 - 2021-07-01	855	Pirates	-	Icedogs	-
141 - 2021-07-04	867	Icedogs	-	Dogbones	-
143 - 2021-07-06	879	Roadrunners	-	Icedogs	-
146 - 2021-07-09	901	Roadrunners	-	Icedogs	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	4400	4300	4400	4600	1040
Ticket Price	100	73	53	34	200
Attendance	95,544	87,984	71,432	95,038	23,669
Attendance PCT	90.48%	85.26%	67.64%	86.09%	94.83%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
17	15569 - 83.08%	1,727,321$	41,455,705$	18740	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
53,409,993$	83,580,166$	74,080,166$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
83,580,166$	52,610,699$	0$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
29,364,458$	53	577,076$	30,585,028$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
31,331,700$	-1,570,768$	-3,538,010$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
83,580,166$	1,419,834$	85,000,000$	23,580,166$

Depth Chart

Left Wing

Center

Right Wing

Ryan Nugent-Hopkins	AGE:27	PO:0	OV:80
Filip Forsberg	AGE:26	PO:0	OV:78
Timo Meier	AGE:24	PO:0	OV:77
Nate Thompson	AGE:36	PO:0	OV:75
Artturi Lehkonen	AGE:25	PO:0	OV:74
*Maxime Comtois	AGE:22	PO:0	OV:69
*Michael Dal Colle	AGE:24	PO:0	OV:68
*Pontus Aberg	AGE:27	PO:0	OV:64

Mika Zibanejad	AGE:27	PO:0	OV:83
Ryan Nugent-Hopkins	AGE:27	PO:0	OV:80
Bo Horvat	AGE:26	PO:0	OV:80
Elias Lindholm	AGE:26	PO:0	OV:79
Travis Zajac	AGE:35	PO:0	OV:77
Nate Thompson	AGE:36	PO:0	OV:75
Derek Grant	AGE:30	PO:0	OV:74
*Trevor Moore	AGE:26	PO:0	OV:70

Elias Lindholm	AGE:26	PO:0	OV:79
Tom Wilson	AGE:27	PO:0	OV:78
Brendan Gallagher	AGE:28	PO:0	OV:77
Timo Meier	AGE:24	PO:0	OV:77
Craig Smith	AGE:31	PO:0	OV:74
Artturi Lehkonen	AGE:25	PO:0	OV:74
*Filip Zadina	AGE:21	PO:0	OV:71
*Pontus Aberg	AGE:27	PO:0	OV:64

Defense #1

Defense #2

Goalie

Rasmus Ristolainen	AGE:26	PO:0	OV:79
David Savard	AGE:30	PO:0	OV:77
*Cale Makar	AGE:22	PO:0	OV:77
Brandon Carlo	AGE:24	PO:0	OV:77
*Jakob Chychrun	AGE:23	PO:0	OV:75
Hampus Lindholm	AGE:27	PO:0	OV:74
Kris Russell	AGE:33	PO:0	OV:74

*Henri Jokiharju	AGE:21	PO:0	OV:72
Matt Benning	AGE:26	PO:0	OV:71
*Mario Ferraro	AGE:22	PO:0	OV:71
*Mirco Mueller	AGE:26	PO:0	OV:71
*Madison Bowey	AGE:25	PO:0	OV:70
*Cale Fleury	AGE:22	PO:0	OV:69
*Christian Djoos	AGE:26	PO:0	OV:66

Frederik Andersen	AGE:31	PO:0	OV:79
Jonathan Quick	AGE:35	PO:0	OV:77
*Oscar Dansk	AGE:27	PO:0	OV:65

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
Connor McMichael	Icedogs	2020	14
Darren Dietz	Icedogs
Emilio Pettersen	Icedogs
Fredrik Olofsson	Icedogs
Grant Mismash	Icedogs	2018	89
Griffin Reinhart	Icedogs
Gustav Olofsson	Icedogs
Jack Dougherty	Icedogs
Jack Studnicka	Icedogs	2018	67
Janne Kuokkanen	Icedogs
Jeremy Roy	Icedogs
Jesse Puljujarvi	Icedogs
Jonathan Davidsson	Icedogs	2018	49
Julien Gauthier	Icedogs
Max Gildon	Icedogs	2018	74
Michael Anderson	Icedogs	2018	90
Nikita Scherbak	Icedogs
Oliwer Kaski	Icedogs
Paul Bittner	Icedogs
Petteri Lindbohm	Icedogs
Philipp Kurashev	Icedogs
Ryan Johnson	Icedogs	2020	36
Ryan MacInnis	Icedogs
Ryan Merkley	Icedogs
Saku Maenalanen	Icedogs
Sasha Chmelevski	Icedogs
Shane Bowers	Icedogs	2018	64
Tim Bozon	Icedogs
Tyler Parsons	Icedogs
Valentin Zykov	Icedogs
Zachary Senyshyn	Icedogs

Draft Picks

Year	R1	R2	R3	R4	R5
2021	IDS	IDS SEN THU	IDS	IDS	WOL
2022	IDS	WOL IDS SEN	IDS OLS		IDS
2023	IDS	IDS	IDS	IDS	IDS
2024	IDS	IDS	IDS	IDS OLS	IDS
2025	IDS	IDS	IDS	IDS	IDS

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

[2021-03-02 10:29:33] - Oscar Dansk was added to Icedogs.
[2021-02-09 10:20:01] - Brendan Gallagher has been selected as assistant for Icedogs.
[2021-02-09 10:20:01] - Ryan Nugent-Hopkins is no longer as assistant for Icedogs.
[2021-02-09 10:20:01] - Mika Zibanejad has been selected as assistant for Icedogs.
[2021-02-09 10:20:01] - Unknown Player is no longer as assistant for Icedogs.
[2021-02-09 10:20:01] - Bo Horvat has been selected as captain for Icedogs.
[2021-02-09 10:20:01] - Brendan Gallagher is no longer captain for Icedogs.
[2021-02-07 00:37:34] - Monkeys hired Rick Bowness- for 750 000 $ for 3 year(s).
[2021-02-07 00:06:59] - Icedogs hired David Quinn- for 1 250 000 $ for 3 year(s).
[2021-02-07 00:06:57] - L'Euphorie fired David Quinn-.
[2021-01-30 17:23:42] - Nate Thompson signed with Icedogs for 1 875 000 $ for 1 year(s) / Option : No Trade.
[2021-01-30 17:23:42] - Nate Thompson was added to Icedogs.
[2021-01-30 13:28:23] - Derek Grant signed with Icedogs for 776 000 $ for 1 year(s) / Option : No Trade.
[2021-01-30 13:28:23] - Derek Grant was added to Icedogs.
[2021-01-20 00:49:45] - Tom Wilson signed with Icedogs for 3 875 000 $ for 1 year(s).
[2021-01-20 00:49:45] - Tom Wilson was added to Icedogs.
[2021-01-20 00:48:57] - Timo Meier signed with Icedogs for 4 500 000 $ for 1 year(s).
[2021-01-20 00:48:57] - Timo Meier was added to Icedogs.
[2021-01-17 23:09:48] - Jakob Chychrun signed with Icedogs for 4 000 000 $ for 1 year(s).
[2021-01-17 23:09:48] - Jakob Chychrun was added to Icedogs.
[2021-01-15 13:11:13] - Pontus Aberg signed with Icedogs for 700 000 $ for 1 year(s).
[2021-01-15 13:11:13] - Pontus Aberg was added to Icedogs.
[2021-01-15 13:10:36] - Christian Djoos signed with Icedogs for 1 250 000 $ for 1 year(s).
[2021-01-15 13:10:36] - Christian Djoos was added to Icedogs.
[2021-01-15 13:10:10] - Mirco Mueller signed with Icedogs for 1 400 000 $ for 1 year(s).
[2021-01-15 13:10:10] - Mirco Mueller was added to Icedogs.
[2021-01-15 13:09:26] - Artturi Lehkonen signed with Icedogs for 2 400 000 $ for 2 year(s).
[2021-01-15 13:09:26] - Artturi Lehkonen was added to Icedogs.
[2021-01-15 13:08:53] - Brandon Carlo signed with Icedogs for 2 850 000 $ for 2 year(s).
[2021-01-15 13:08:53] - Brandon Carlo was added to Icedogs.

[2021-04-11 19:44:21] Current fund for Icedogs is under 0 $.
[2021-04-11 19:43:31] Current fund for Icedogs is under 0 $.
[2021-04-11 19:43:11] Both Icedogs and Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2021-04-10 22:03:15] Current fund for Icedogs is under 0 $.
[2021-04-10 22:03:05] Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2021-04-10 22:03:03] Maxime Comtois from Monkeys has scored a Hat Trick!
[2021-04-10 19:29:55] Current fund for Icedogs is under 0 $.
[2021-04-10 19:29:20] Current fund for Icedogs is under 0 $.
[2021-04-10 19:29:08] Icedogs lines for next game are empty. Current rosters/lines are not erased.
[2021-04-09 19:42:43] Current fund for Icedogs is under 0 $.
[2021-04-09 19:37:21] Current fund for Icedogs is under 0 $.
[2021-04-09 19:37:07] Both Icedogs and Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2021-04-09 19:37:07] Last 7 Days Farm Star : 1 - Riley Nash of Les Restants (9-10-19) / 2 - Michael Frolik of Les Restants (9-10-19) / 3 - Trevor Moore of Monkeys (9-9-18)
[2021-04-09 19:37:07] Trevor Moore from Monkeys has scored a Hat Trick!
[2021-04-09 19:37:07] Maxime Comtois from Monkeys has scored a Hat Trick!
[2021-04-09 10:38:59] Current fund for Icedogs is under 0 $.
[2021-04-09 10:38:24] Current fund for Icedogs is under 0 $.
[2021-04-09 10:37:36] Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2021-04-09 10:37:35] Maxime Comtois from Monkeys has scored a Hat Trick!
[2021-04-08 22:29:27] Current fund for Icedogs is under 0 $.
[2021-04-08 22:25:56] Current fund for Icedogs is under 0 $.
[2021-04-08 22:25:38] Icedogs lines for next game are empty. Current rosters/lines are not erased.
[2021-04-08 22:25:25] Auto Lines Function has been run for Icedogs.
[2021-04-08 22:25:25] Auto Roster Partial Function has been run for Icedogs.
[2021-04-08 22:24:01] Current fund for Icedogs is under 0 $.
[2021-04-08 22:23:50] Mirco Mueller from Monkeys is back from Back Injury.
[2021-04-08 22:23:50] Filip Zadina from Monkeys is back from Bruised Right Foot Injury.
[2021-04-08 22:23:50] Cale Makar from Icedogs is back from Bruised Right Shoulder Injury.
[2021-04-08 22:23:49] Monkeys lines for next game are empty. Current rosters/lines are not erased.
[2021-04-08 22:23:49] Trevor Moore from Monkeys has scored a Hat Trick!
[2021-04-07 22:53:59] Current fund for Icedogs is under 0 $.
[2021-04-07 22:49:22] Current fund for Icedogs is under 0 $.

No Injury or Suspension.

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
2020	49	16	18	0	2	3	7	3	126	135	-9	24	10	9	0	0	1	3	1	61	68	-7	25	6	9	0	2	2	4	2	65	67	-2	56	126	216	342	0	1	28	48	41	17	1622	557	542	507	62	1517	544	518	1013	153	26	16.99%	156	27	82.69%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	1093	636	1034	445	869	436
Total Regular Season	49	16	18	0	2	3	7	3	126	135	-9	24	10	9	0	0	1	3	1	61	68	-7	25	6	9	0	2	2	4	2	65	67	-2	56	126	216	342	0	1	28	48	41	17	1622	557	542	507	62	1517	544	518	1013	153	26	16.99%	156	27	82.69%	0	614	1102	55.72%	591	1102	53.63%	386	690	55.94%	1093	636	1034	445	869	436
Playoff
2019	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	3	9	-6	0	6	11	17	0	0	0	5	1	0	121	47	40	32	2	151	46	33	91	15	2	13.33%	9	1	88.89%	0	44	98	44.90%	54	107	50.47%	28	50	56.00%	92	53	85	34	68	36
2019	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	3	9	-6	0	6	11	17	0	0	0	5	1	0	121	47	40	32	2	151	46	33	91	15	2	13.33%	9	1	88.89%	0	44	98	44.90%	54	107	50.47%	28	50	56.00%	92	53	85	34	68	36
Total Playoff	8	0	8	0	0	0	0	0	12	30	-18	4	0	4	0	0	0	0	0	6	12	-6	4	0	4	0	0	0	0	0	6	18	-12	0	12	22	34	0	0	0	10	2	0	242	94	80	64	4	302	92	66	182	30	4	13.33%	18	2	88.89%	0	88	196	44.90%	108	214	50.47%	56	100	56.00%	184	106	171	68	137	72