Profi League - Today's Games Farm

Roster

PLAYER	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	MO	OV	AGE	CONTRACT
Tyler Pitlick ''A''	LW/RW	100.00	77	33	88	46	79	80	83	45	62	48	46	62	75	80	81	59	52	34	900,000$ / 1 yrs
Emil Bemstrom	C/RW	100.00	61	35	92	49	75	76	80	48	66	48	47	57	55	69	66	59	51	26	900,000$ / 1 yrs
Gage Quinney	LW	100.00	58	37	94	47	78	82	84	48	68	51	44	60	76	72	73	59	51	30	600,000$ / 1 yrs
Clark Bishop	C	100.00	66	35	82	45	79	91	94	45	77	44	45	62	71	70	70	59	50	29	600,000$ / 2 yrs
Justin Robidas (R)	C	100.00	65	42	92	47	72	91	94	46	77	50	45	62	76	64	65	59	50	22	100,000$ / 5 yrs
Logan Morrison	C	100.00	63	34	94	45	76	91	94	46	80	47	44	60	73	65	65	59	49	23	100,000$ / 5 yrs
Cedric Pare	C	100.00	60	36	83	42	84	83	85	43	66	44	44	57	70	67	67	59	48	26	900,000$ / 2 yrs
Florian Xhekaj (R)	LW	100.00	62	31	75	41	82	83	88	42	56	41	45	61	69	65	65	59	48	21	100,000$ / 5 yrs
Emilio Pettersen	LW	100.00	70	46	91	42	73	89	92	42	78	44	42	60	69	67	66	59	48	25	100,000$ / 5 yrs
Hayden Hodgson	C/RW	100.00	75	34	64	39	84	81	82	40	74	41	42	64	66	70	71	59	48	29	600,000$ / 1 yrs
Gavin Hayes (R)	LW/RW	100.00	65	43	93	39	75	78	81	40	69	42	41	65	66	63	64	59	47	21	100,000$ / 5 yrs
Shawn Element	C/LW	100.00	69	37	82	38	78	86	88	37	70	40	42	61	66	67	66	53	47	25	600,000$ / 1 yrs
Lucas Carlsson	D	100.00	63	60	74	37	78	88	84	39	30	51	47	73	57	70	69	60	54	28	900,000$ / 1 yrs
Chad Ruhwedel ''C''	D	100.00	79	31	87	35	79	81	83	34	30	45	41	74	69	81	81	59	54	35	900,000$ / 2 yrs
Casey Fitzgerald	D	100.00	75	80	81	33	77	86	89	33	30	43	41	70	67	69	69	59	52	28	900,000$ / 2 yrs
Jack Rathbone	D	100.00	67	35	84	33	76	87	88	34	30	44	41	72	68	67	67	59	51	26	900,000$ / 2 yrs
Brandon Scanlin	D	100.00	71	39	86	32	87	88	90	32	30	40	42	67	66	67	68	59	50	26	900,000$ / 2 yrs
Tyson Feist	D	100.00	75	39	72	31	78	73	74	32	30	40	38	67	62	66	65	59	50	24	600,000$ / 1 yrs
Scratches
Roman Ahcan	LW	100.00	63	38	86	42	72	88	90	41	55	42	45	59	70	67	66	36	48	26	600,000$ / 2 yrs
Reid Schaefer	LW	100.00	68	35	79	40	87	77	78	39	56	41	45	58	69	64	65	36	48	22	100,000$ / 5 yrs
Elliot Desnoyers	LW	100.00	64	36	87	39	75	87	87	39	62	43	41	60	67	65	64	36	47	23	100,000$ / 5 yrs
Tristen Robins	RW	100.00	63	35	87	41	76	82	84	40	72	44	42	61	69	66	65	36	47	23	100,000$ / 5 yrs
Eetu Liukas	LW	100.00	62	33	82	39	81	79	82	38	66	41	42	59	66	65	64	36	46	23	100,000$ / 5 yrs
Mathieu De St. Phalle	C/LW/RW	100.00	60	32	75	36	72	71	73	37	64	37	40	58	62	67	67	36	45	25	600,000$ / 1 yrs
Andrew Lucas	D	100.00	71	35	90	32	76	74	76	31	30	42	38	65	64	67	66	36	50	26	600,000$ / 1 yrs
Cole Krygier	D	100.00	68	40	74	32	79	77	77	32	30	40	39	67	63	67	66	36	50	25	600,000$ / 1 yrs
Wyatte Wylie	D	100.00	63	38	88	34	78	82	84	33	30	42	40	66	66	67	67	36	50	26	100,000$ / 5 yrs
Will Zmolek	D	100.00	67	39	93	32	81	73	75	33	30	41	40	63	65	67	67	36	49	26	600,000$ / 1 yrs

	TEAM AVERAGE	100.00	67	39	84	39	78	82	84	39	54	43	42	63	67	68	68	51	49

GOALIE	POS	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	MO	OV	AGE	CONTRACT
Ken Appleby	G	100.00	71	76	77	93	69	70	72	71	69	71	72	79	76	63	62	30	900,000$ / 2 yrs
Zach Sawchenko	G	97.00	69	79	77	90	68	70	67	68	69	68	70	74	74	63	61	27	100,000$ / 5 yrs
Scratches
Seth Eisele	G	100.00	62	72	71	94	59	62	62	62	61	59	63	74	74	43	56	27	900,000$ / 2 yrs

	TEAM AVERAGE	99.00	67	76	75	92	65	67	67	67	66	66	68	76	75	56	60

COACH	PH	DF	OF	PD	EX	LD	PO	Country	Age	Contract	Salary
Manny Malhotra	75	76	73	74	73	70	83	CAN	44	2	200,000$

Player Stats

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKM	GW	GT	FO%	FOT	GA	P/20	PSG	PSS
1	Tyler Pitlick	Bears (WSH)	LW/RW	14	4	11	15	6	0	0	30	48	7	32	8.33%	1	16.:.59	1	3	4	0	0	1	0	35.00%	20	0	1.26	0	1
2	Clark Bishop	Bears (WSH)	C	14	6	7	13	6	0	0	17	38	10	23	15.79%	1	19.:.08	4	1	5	0	27	3	0	52.91%	344	0	0.97	0	1
3	Gage Quinney	Bears (WSH)	LW	14	7	6	13	6	4	0	6	38	9	35	18.42%	3	18.:.55	1	2	3	0	23	0	0	47.62%	21	0	0.98	0	1
4	Chad Ruhwedel	Bears (WSH)	D	14	2	8	10	0	8	0	32	20	3	9	10.00%	26	23.:.09	0	1	1	0	25	0	0	0.00%	0	0	0.62	1	1
5	Lucas Carlsson	Bears (WSH)	D	14	3	6	9	-1	11	5	11	16	3	13	18.75%	15	23.:.13	1	2	3	0	26	1	0	0.00%	0	0	0.55	0	0
6	Justin Robidas	Bears (WSH)	C	14	4	5	9	-6	2	0	16	44	15	30	9.09%	4	22.:.53	2	1	3	0	27	1	0	52.51%	438	0	0.56	0	1
7	Emil Bemstrom	Bears (WSH)	C/RW	14	2	4	6	-4	0	0	7	46	13	36	4.35%	0	20.:.37	0	2	2	0	0	0	1	22.22%	18	0	0.42	0	0
8	Jack Rathbone	Bears (WSH)	D	14	0	6	6	-1	0	0	16	13	3	13	0.00%	18	22.:.24	0	1	1	0	26	0	0	0.00%	0	0	0.38	0	0
9	Shawn Element	Bears (WSH)	C/LW	13	3	2	5	-6	10	0	32	19	2	11	15.79%	2	22.:.40	0	0	0	0	20	0	1	52.38%	21	0	0.34	0	0
10	Brandon Scanlin	Bears (WSH)	D	14	1	3	4	4	4	0	9	11	4	9	9.09%	13	15.:.15	0	1	1	0	10	0	0	0.00%	0	0	0.37	0	0
11	Emilio Pettersen	Bears (WSH)	LW	14	2	2	4	0	4	0	2	8	1	8	25.00%	0	06.:.39	0	0	0	0	0	0	0	50.00%	6	0	0.86	0	0
12	Cedric Pare	Bears (WSH)	C	14	2	1	3	2	0	0	4	19	4	10	10.53%	0	11.:.36	0	0	0	0	0	1	0	44.75%	181	0	0.37	0	0
13	Hayden Hodgson	Bears (WSH)	C/RW	14	0	3	3	2	6	0	28	25	7	16	0.00%	2	12.:.07	0	0	0	0	8	0	0	18.75%	16	0	0.35	0	0
14	Logan Morrison	Bears (WSH)	C	14	2	1	3	0	0	0	3	13	2	5	15.38%	1	06.:.43	0	0	0	0	0	1	0	59.81%	107	0	0.64	0	1
15	Casey Fitzgerald	Bears (WSH)	D	14	1	1	2	-1	8	0	32	15	2	11	6.67%	14	22.:.02	0	1	1	0	21	0	0	0.00%	0	0	0.13	0	0
16	Tyson Feist	Bears (WSH)	D	14	0	2	2	4	6	0	19	9	0	5	0.00%	12	14.:.29	0	0	0	0	1	0	0	0.00%	0	0	0.20	0	0
17	Gavin Hayes	Bears (WSH)	LW/RW	14	0	1	1	0	0	0	5	13	2	10	0.00%	1	06.:.57	0	0	0	0	0	0	0	25.00%	8	0	0.21	0	0
18	Florian Xhekaj	Bears (WSH)	LW	14	0	0	0	2	2	0	7	17	5	25	0.00%	6	11.:.44	0	0	0	0	0	0	0	45.45%	11	0	0.00	0	0
19	Ross Johnston	Capitals	LW	1	0	0	0	0	2	0	4	3	1	1	0.00%	0	20.:.28	0	0	0	0	3	0	0	100.00%	2	0	0.00	0	0
Team Total or Average				251	39	69	108	13	65	5	276	412	92	301	9.47%	119	16:30	9	15	24	264	0	218	8	2	50.55%	1191	0.52	0	1

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	A	PS %	PSA	ST	BG	S1	S2
1	Zach Sawchenko	Bears (WSH)	7	5	2	0	91.1%	2.97	425	2	0	21	235	1	100.0%	6	7	7	0	1
2	Ken Appleby	Bears (WSH)	7	4	2	1	94.4%	1.71	421	0	1	12	216	0	0.0%	0	7	7	2	3
Team Total or Average			14	9	4	1	0.927	2.34	846	2	1	33	451	1	100.0%	6	14	14	2	4

Lines

Forward Lines
Shawn Element	Justin Robidas	Emil Bemstrom
Gage Quinney	Clark Bishop	Tyler Pitlick
Florian Xhekaj	Cedric Pare	Hayden Hodgson
Emilio Pettersen	Logan Morrison	Gavin Hayes

Defensive Pairings
Chad Ruhwedel	Lucas Carlsson
Casey Fitzgerald	Jack Rathbone
Brandon Scanlin	Tyson Feist

1st Power Play Unit
Shawn Element		Justin Robidas		Emil Bemstrom
Chad Ruhwedel			Lucas Carlsson

2nd Power Play Unit
Gage Quinney		Clark Bishop		Tyler Pitlick
Casey Fitzgerald			Jack Rathbone

Goalies
Zach Sawchenko		Ken Appleby

Team Stats

Show or Hide Column

Filter Tips

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

#	VS Team	GP	W	L	OTL	SOW	GF	GA	Diff	P	PCT	G	A	TP	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT	GF%	SH%	SV%	PDO	PDOBRK
1	Penguins	1	0	1	0	0	2	3	-1	0	0.000	2	3	5	0	20	5	14	1	21	154	108	151	8	33	9	4	25	1	0	0.00%	2	1	50.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	50.0%	9.5%	90.9%	100.4	FUN
2	Islanders	2	1	0	1	0	3	2	1	3	0.750	3	4	7	1	20	5	14	1	68	154	108	151	8	54	11	11	29	9	2	22.22%	3	1	66.67%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	50.0%	4.4%	96.3%	100.7	DULL
3	Wolf Pack	1	1	0	0	0	3	2	1	2	1.000	3	5	8	0	20	5	14	1	22	154	108	151	8	21	14	6	17	3	1	33.33%	3	0	100.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	50.0%	13.6%	90.5%	104.1	FUN
4	Crunch	1	0	1	0	0	3	4	-1	0	0.000	3	4	7	0	20	5	14	1	34	154	108	151	8	33	7	2	24	3	1	33.33%	1	1	0.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	40.0%	8.8%	87.9%	96.7	Unlucky
5	Bruins	1	1	0	0	0	3	1	2	2	1.000	3	6	9	0	20	5	14	1	22	154	108	151	8	31	8	8	27	2	1	50.00%	4	0	100.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	66.7%	13.6%	96.8%	110.4	LUCKY
6	Senators	1	1	0	0	0	6	3	3	2	1.000	6	11	17	0	20	5	14	1	34	154	108	151	8	34	3	4	23	3	0	0.00%	2	0	100.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	66.7%	17.6%	91.2%	108.8	LUCKY
7	Americans	1	0	1	0	0	2	5	-3	0	0.000	2	3	5	0	20	5	14	1	21	154	108	151	8	44	11	8	28	0	0	0.00%	4	1	75.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	33.3%	9.5%	88.6%	98.2	FUN
8	Thunderbirds	1	1	0	0	0	4	3	1	2	1.000	4	8	12	0	20	5	14	1	30	154	108	151	8	37	18	4	11	2	1	50.00%	2	1	50.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	60.0%	13.3%	91.9%	105.2	LUCKY
9	Monsters	1	0	1	0	0	0	2	-2	0	0.000	0	0	0	0	20	5	14	1	25	154	108	151	8	38	10	6	32	2	0	0.00%	3	0	100.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	0.0%	0.0%	94.7%	94.7	DULL
10	Wild	1	1	0	0	0	3	2	1	2	1.000	3	5	8	0	20	5	14	1	40	154	108	151	8	34	7	6	13	4	2	50.00%	3	0	100.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	33.3%	7.5%	94.1%	101.6	DULL
11	Canucks	1	0	0	0	1	5	4	1	2	1.000	5	8	13	0	20	5	14	1	25	154	108	151	8	35	8	4	17	2	0	0.00%	1	0	100.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	55.6%	20.0%	88.6%	108.6	FUN
12	Stars	1	1	0	0	0	3	1	2	2	1.000	3	6	9	0	20	5	14	1	38	154	108	151	8	28	7	2	15	2	1	50.00%	0	0	0.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	66.7%	7.9%	96.4%	104.3	DULL
13	Firebirds	1	1	0	0	0	3	1	2	2	1.000	3	6	9	0	20	5	14	1	35	154	108	151	8	29	6	4	19	1	0	0.00%	2	0	100.00%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	75.0%	8.6%	96.6%	105.1	DULL
	_Vs Division	5	2	2	1	0	8	9	-1	5	0.500	8	12	20	1	20	5	14	1	136	154	108	151	8	146	44	27	103	15	3	20.00%	11	2	81.82%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	41.7%	5.9%	93.8%	99.7	DULL
	_Vs Conference	9	4	4	1	0	22	22	0	9	0.500	22	36	58	1	20	5	14	1	247	154	108	151	8	288	73	49	205	23	5	21.74%	22	4	81.82%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	48.6%	8.9%	92.4%	101.3	Unlucky
	_Since Last GM Reset	14	8	4	1	1	40	33	7	19	0.679	40	69	109	1	20	5	14	1	415	154	108	151	8	451	119	69	280	34	9	26.47%	30	5	83.33%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	52.5%	9.6%	92.7%	102.3	LUCKY
	Total	14	8	4	1	1	40	33	7	19	0.679	40	69	109	1	20	5	14	1	415	154	108	151	8	451	119	69	280	34	9	26.47%	30	5	83.33%	258	493	52.33%	247	490	50.41%	99	204	48.53%	329	215	316	114	202	98	52.5%	9.6%	92.7%	102.3	LUCKY

	Puck Time
Offensive Zone	23
Neutral Zone	14
Defensive Zone	22

	Puck Time
Offensive Zone Start	493
Neutral Zone Start	204
Defensive Zone Start	490

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	604
Faceoffs Lost	583

	Team Average Shots after	League Average Shots after
1st Period	11.0	9.57
2nd Period	18.7	20.31
3rd Period	29.5	30.68
Overtime	30.1	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.4	0.64
2nd Period	1.8	1.65
3rd Period	2.8	2.67
Overtime	2.9	2.83


Even Strenght Goal	31
PP Goal	9
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	7	2
Lost	1	3
Overtime Lost	0	1


PP Attempt	34
PP Goal	9
PK Attempt	30
PK Goal Against	5

	Home
Shots For	29.6
Shots Against	32.2
Goals For	2.9
Goals Against	2.4
Hits	20.0
Shots Blocked	8.5
Pim	4.9

Schedule

Date	Matchup			Result	Detail
Wed, Oct 8	PVD	@	HER	PVD1,HER3	RECAP
Sat, Oct 11	HER	@	BRI	HER1,BRI2 (OT)	RECAP
Sun, Oct 12	HER	@	HWP	HER3,HWP2	RECAP
Tue, Oct 14	SYR	@	HER	SYR4,HER3	RECAP
Fri, Oct 17	IOW	@	HER	IOW2,HER3	RECAP
Sun, Oct 19	ABB	@	HER	ABB4,HER5 (SO)	RECAP
Tue, Oct 21	CVF	@	HER	CVF1,HER3	RECAP
Fri, Oct 24	HER	@	CLV	HER0,CLV2	RECAP
Sat, Oct 25	BEL	@	HER	BEL3,HER6	RECAP
Tue, Oct 28	HER	@	TEX	HER3,TEX1	RECAP
Fri, Oct 31	BRI	@	HER	BRI0,HER2	RECAP
Sat, Nov 1	HER	@	ROC	HER2,ROC5	RECAP
Wed, Nov 5	SPR	@	HER	SPR3,HER4	RECAP
Thu, Nov 6	HER	@	WIL	HER2,WIL3	RECAP
Sat, Nov 8	HER	@	SYR
Tue, Nov 11	HER	@	CHW
Thu, Nov 13	HER	@	CHA
Sat, Nov 15	UTI	@	HER
Mon, Nov 17	ONT	@	HER
Wed, Nov 19	BKS	@	HER
Thu, Nov 20	HER	@	LAV
Sat, Nov 22	SYR	@	HER
Mon, Nov 24	CLV	@	HER
Wed, Nov 26	MAN	@	HER
Fri, Nov 28	TOM	@	HER
Sun, Nov 30	HER	@	BRI
Tue, Dec 2	HER	@	ONT
Wed, Dec 3	HER	@	SJB
Fri, Dec 5	HER	@	SDG
Sun, Dec 7	CLV	@	HER
Thu, Dec 11	CHW	@	HER
Sat, Dec 13	HER	@	MAN
Tue, Dec 16	HER	@	IOW
Thu, Dec 18	TOM	@	HER
Sat, Dec 20	GRG	@	HER
Sun, Dec 21	HER	@	GRG
Tue, Dec 23	HWP	@	HER
Sat, Dec 27	HER	@	UTI
Mon, Dec 29	HER	@	CHA
Wed, Dec 31	HWP	@	HER
Thu, Jan 1	HER	@	BEL
Sat, Jan 3	RFD	@	HER
Mon, Jan 5	SDG	@	HER
Wed, Jan 7	TEX	@	HER
Fri, Jan 9	HER	@	RFD
Sun, Jan 11	HER	@	MIL
Tue, Jan 13	LAV	@	HER
Thu, Jan 15	SJB	@	HER
Sat, Jan 17	CHA	@	HER
Mon, Jan 19	HER	@	COE
Wed, Jan 21	HER	@	ABB
Fri, Jan 23	HER	@	CGW
Sat, Jan 24	HER	@	BKS
Tue, Jan 27	HER	@	CVF
Thu, Jan 29	HER	@	GRG
Sat, Jan 31	CHW	@	HER
Mon, Feb 2	BRI	@	HER
Tue, Feb 3	HER	@	LVP
Thu, Feb 5	MIL	@	HER
Wed, Feb 25	LVP	@	HER
Fri, Feb 27	HSK	@	HER
Sat, Feb 28	HER	@	LAV
Tue, Mar 3	TUC	@	HER
Sat, Mar 7	HER	@	PVD
Trade Deadline --- Trades can not be done after this day is simulated!
Mon, Mar 9	CGW	@	HER
Wed, Mar 11	HER	@	LVP
Thu, Mar 12	HER	@	ROC
Sat, Mar 14	PVD	@	HER
Wed, Mar 18	BEL	@	HER
Fri, Mar 20	UTI	@	HER
Sun, Mar 22	COE	@	HER
Tue, Mar 24	HER	@	SPR
Thu, Mar 26	HER	@	TUC
Sat, Mar 28	HER	@	HSK
Tue, Mar 31	LVP	@	HER
Thu, Apr 2	HER	@	UTI
Sat, Apr 4	ROC	@	HER
Sun, Apr 5	HER	@	HWP
Wed, Apr 8	HER	@	TOM
Sat, Apr 11	HER	@	WIL
Sun, Apr 12	WIL	@	HER
Tue, Apr 14	HER	@	CLV

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

No Injury or Suspension.

Game Center

Thunderbirds10-5-0, 20pts

34Final

Bears9-4-1, 19pts

23Final

Penguins7-7-1, 15pts

Bears9-4-1, 19pts

Sat, Nov 08

Crunch5-8-1, 11pts

Bears9-4-1, 19pts

Tue, Nov 11

Wolves8-4-1, 17pts

Bears9-4-1, 19pts

Thu, Nov 13

Checkers2-9-3, 7pts

Team Leaders

	GOALS Tyler Pitlick 4			ASSISTS Tyler Pitlick 11
	POINTS Tyler Pitlick 15			DEFENSEMAN Chad Ruhwedel 10
	PIM Lucas Carlsson 11			PLUS/MINUS Clark Bishop 6
	WINS Zach Sawchenko 5			SV% Ken Appleby 94.4%

Team Info


	Head Coach	Manny Malhotra
	Conference	Eastern Conference
	Division	Metropolitan Division
	Stadium Capacity	3,000

Player to Watch


Point Streak Chad Ruhwedel Bears (WSH)	1 Game(s) 0G-2A-2P This Month

Bears Affiliation


	NHL Team	Washington Capitals
	Head Coach	Dan Bylsma
	Stadium	Capital One Arena
	Capacity	18,573

Roster Info


	Farm Team	31
	Pro Team	24/25
	Contract Limit	55/55
	Prospects & Player's Rights	42

Nationalities


	CAN	14
	USA	13
	SWE	2
	NOR	1
	FIN	1

Team Stats

Goals For 40 2.86 GFG	Goals Against 33 2.36 GAA
Power Play Percentage 26.5% 9 GF	Penalty Kill Percentage 83.3% 5 GA