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
Nate Thompson	C/LW	100.00	68	62	93	48	78	77	73	47	84	46	46	70	56	85	79	61	54	38	900,000$/1yrs
Kole Lind	RW	100.00	62	36	79	49	73	78	76	49	61	51	51	60	64	66	67	51	53	24	800,000$/1yrs
Mitchell Stephens	C	100.00	61	35	89	52	74	77	68	51	82	52	47	65	57	64	65	75	53	26	800,000$/1yrs
Rasmus Kupari	C/RW	100.00	66	36	88	50	73	79	77	51	76	49	49	62	68	63	66	75	53	23	900,000$/2yrs
Peyton Krebs (R)	C/LW	100.00	58	37	85	51	75	85	77	53	72	53	51	58	73	61	63	70	53	22	900,000$/3yrs
Jack Drury (R)	C	100.00	70	38	71	44	69	91	88	43	80	48	46	64	73	63	62	81	51	23	100,000$/8yrs
Taro Hirose	LW	100.00	57	36	83	48	74	86	78	49	60	50	47	56	64	67	68	81	51	26	700,000$/2yrs
Joey Anderson	RW	100.00	65	37	81	43	76	86	79	43	53	43	48	62	61	65	67	81	50	24	800,000$/2yrs
Matthew Phillips (A)	C	100.00	57	34	93	45	60	89	84	44	73	47	49	59	65	64	66	81	50	25	100,000$/8yrs
Michael Eyssimont	C	100.00	60	41	75	43	70	87	83	42	62	45	46	60	64	66	68	74	50	26	100,000$/8yrs
Pierre-Cedric Labrie	LW	100.00	80	43	72	37	89	69	84	36	57	41	41	60	55	76	78	35	50	36	600,000$/1yrs
Jeff Kubiak	C	100.00	68	31	76	39	87	75	81	38	67	43	42	62	56	68	70	64	49	29	600,000$/1yrs
Conor Timmins (R) (A)	D	100.00	74	40	80	39	76	82	52	38	30	48	46	73	52	65	63	80	53	24	1,100,000$/1yrs
Greg Moro	D	100.00	79	42	75	33	88	72	62	32	30	42	40	63	48	67	69	15	50	27	600,000$/1yrs
Yanni Kaldis	D	100.00	61	38	86	34	70	74	81	33	30	46	42	66	45	67	69	35	50	27	600,000$/1yrs
Jimmy Oligny	D	100.00	76	79	62	32	75	68	79	31	30	41	39	63	46	69	74	57	49	29	600,000$/1yrs
Matthew Robertson (R)	D	100.00	78	41	82	31	87	70	93	30	30	41	38	62	45	61	63	81	49	21	100,000$/8yrs
Nicolas Beaudin	D	100.00	59	38	91	32	66	79	86	31	30	44	40	66	55	63	65	47	48	23	800,000$/2yrs
Scratches
Anthony Louis	LW	100.00	58	35	91	43	61	92	93	42	60	46	46	61	66	67	69	19	49	28	100,000$/8yrs
Michal Teply	RW	100.00	72	38	94	40	81	79	83	39	61	44	44	61	57	61	63	22	49	21	100,000$/8yrs
Dominik Shine	RW	100.00	58	34	68	39	66	81	85	38	52	42	44	61	57	69	71	20	48	29	600,000$/1yrs
Cole Bardreau	C	100.00	57	36	93	39	68	81	74	38	66	42	45	62	61	69	72	20	48	29	600,000$/1yrs
Greg Meireles (R)	RW	100.00	57	37	88	40	66	77	79	40	66	46	41	60	62	63	65	20	48	24	100,000$/8yrs
Nicholas Jones	C	100.00	60	38	82	40	68	79	88	40	68	44	44	59	59	66	68	28	48	26	700,000$/2yrs
Blade Jenkins	LW	100.00	67	37	95	37	76	67	73	37	52	40	42	60	57	62	64	20	47	22	100,000$/8yrs
Dillon Hamaliuk (R)	LW	100.00	72	39	74	36	81	67	72	36	51	40	40	60	53	62	64	20	47	22	100,000$/8yrs
Ashton Sautner	D	100.00	67	39	75	33	76	67	69	33	30	42	40	63	45	68	70	67	49	28	600,000$/2yrs

Show or Hide Column

Filter Tips

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

Goalie	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	MO	OV	AGE	CONTRACT
Jon Gillies	100.00	79	82	76	95	78	80	79	79	78	77	78	68	81	40	67	29	800,000$/1yrs
Dustin Wolf	99.00	78	88	87	89	75	79	77	78	78	76	77	61	65	27	66	21	100,000$/8yrs
Scratches
Spencer Martin	100.00	78	84	75	92	76	79	79	76	78	76	77	67	77	44	66	27	100,000$/8yrs
Alexei Melnichuk	100.00	70	84	78	91	67	70	71	70	68	68	67	65	71	20	60	24	100,000$/8yrs
Jacob Ingham	100.00	63	74	70	93	60	65	62	64	62	61	61	63	67	20	56	22	100,000$/8yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kirk Muller	68	72	71	65	84	78	64	CAN	56	2	200,000$

General Manager

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	PKA	PKP	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS
1	Mitchell Stephens	Condors (EDM)	C	81	30	42	72	9	10	0	82	287	80	183	10.45%	23	21.:.05	1	5	6	1	0	1	101	10	1	51.93%	1681	0	0	0.84	0	1
2	Peyton Krebs	Condors (EDM)	C/LW	73	23	42	65	15	6	0	84	292	74	178	7.88%	9	23.:.07	2	5	7	0	0	0	143	4	1	53.71%	175	1	1	0.77	1	4
3	Taro Hirose	Condors (EDM)	LW	82	20	44	64	6	8	0	63	252	74	165	7.94%	12	20.:.39	2	8	10	0	1	1	81	7	0	47.69%	130	0	0	0.76	0	1
4	Rasmus Kupari	Condors (EDM)	C/RW	81	24	35	59	8	20	0	145	269	61	199	8.92%	16	19.:.27	4	4	8	0	0	0	80	0	0	45.36%	582	0	0	0.75	2	3
5	Jack Drury	Condors (EDM)	C	82	20	35	55	0	32	0	216	214	60	187	9.35%	19	18.:.34	3	10	13	0	0	0	8	0	3	54.80%	1960	0	0	0.72	0	1
6	Kole Lind	Condors (EDM)	RW	57	15	26	41	10	4	0	49	163	35	107	9.20%	3	14.:.36	1	5	6	0	0	0	7	4	1	43.33%	60	0	0	0.98	0	1
7	Conor Timmins	Condors (EDM)	D	82	5	32	37	16	47	5	178	94	32	72	5.32%	146	24.:.57	1	4	5	0	0	0	130	3	0	0.00%	0	0	0	0.36	0	1
8	Joey Anderson	Condors (EDM)	RW	82	14	20	34	0	22	0	105	193	60	161	7.25%	13	15.:.25	5	4	9	0	0	0	70	1	2	49.74%	195	0	0	0.54	1	2
9	Matthew Phillips	Condors (EDM)	C	82	13	21	34	7	4	0	42	151	45	124	8.61%	11	14.:.56	0	2	2	0	0	0	0	4	3	45.84%	1226	0	0	0.55	0	1
10	Nate Thompson	Condors (EDM)	C/LW	63	17	15	32	6	18	0	86	180	53	144	9.44%	18	17.:.37	0	0	0	0	0	0	27	2	3	54.62%	476	0	0	0.58	1	4
11	Ashton Sautner	Condors (EDM)	D	65	7	10	17	-1	22	0	78	51	16	28	13.73%	89	21.:.33	5	1	6	0	0	0	90	1	1	0.00%	0	0	0	0.24	0	0
12	Matthew Robertson	Condors (EDM)	D	79	1	16	17	17	35	5	136	40	10	22	2.50%	68	15.:.59	0	2	2	0	0	0	83	0	0	0.00%	0	0	0	0.27	0	0
13	Jimmy Oligny	Condors (EDM)	D	63	4	11	15	-6	54	10	154	51	17	27	7.84%	79	19.:.15	2	1	3	0	0	0	86	1	0	0.00%	0	0	0	0.25	1	1
14	Michael Eyssimont	Condors (EDM)	C	75	5	9	14	3	2	0	30	48	10	33	10.42%	7	06.:.00	0	0	0	0	0	0	0	0	2	42.56%	430	0	0	0.62	0	1
15	Nicolas Beaudin	Condors (EDM)	D	59	1	13	14	6	10	0	29	21	13	24	4.76%	60	17.:.50	0	0	0	0	0	0	77	0	0	0.00%	0	0	0	0.27	0	1
16	Yanni Kaldis	Condors (EDM)	D	47	4	8	12	-14	2	0	33	36	7	23	11.11%	55	18.:.42	0	1	1	0	0	0	41	1	0	0.00%	0	0	0	0.27	0	0
17	Greg Meireles	Condors (EDM)	RW	24	4	7	11	5	8	0	5	44	12	34	9.09%	5	17.:.30	0	0	0	0	0	0	0	0	0	45.95%	37	0	0	0.52	0	0
18	Jeff Kubiak	Condors (EDM)	C	66	2	6	8	3	4	0	28	34	6	17	5.88%	5	05.:.05	0	0	0	0	0	0	48	0	0	47.44%	293	0	0	0.48	0	1
19	Anthony Louis	Condors (EDM)	LW	18	3	4	7	1	4	0	10	25	6	16	12.00%	1	11.:.12	0	0	0	0	0	0	4	0	0	64.29%	14	0	0	0.69	0	0
20	Pierre-Cedric Labrie	Condors (EDM)	LW	47	3	0	3	-7	14	0	57	40	9	12	7.50%	2	06.:.58	0	0	0	0	0	0	2	0	0	25.00%	16	0	0	0.18	0	0
21	Greg Moro	Condors (EDM)	D	36	1	1	2	0	39	5	62	23	6	12	4.35%	41	15.:.39	0	0	0	0	0	0	27	0	0	0.00%	0	0	0	0.07	0	0
22	Nicholas Jones	Condors (EDM)	C	33	1	1	2	1	2	0	5	12	1	10	8.33%	1	02.:.11	0	0	0	0	0	0	0	0	0	33.33%	3	0	0	0.55	0	0
23	Michal Teply	Condors (EDM)	RW	38	1	1	2	-3	2	0	8	14	7	8	7.14%	2	03.:.30	0	0	0	0	0	0	0	1	0	50.00%	10	0	0	0.30	0	1
Team Total or Average			1415	218	399	617	82	369	25	1685	2534	694	1786	8.60%	685	16.25	26	52	78	1518	1	1	2	1114	39	17	50.36%	7288	1	1	0.54	6	24

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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jon Gillies	Condors (EDM)	27	16	7	1	92.3%	2.30	1489	4	1	57	738	0	0	85.7%	7	24	32	3	1	2
2	Spencer Martin	Condors (EDM)	27	14	8	2	91.0%	2.65	1519	0	3	67	748	0	2	93.7%	16	24	27	3	1	0
3	Dustin Wolf	Condors (EDM)	30	13	13	3	90.3%	3.01	1655	2	1	83	860	0	1	0.0%	0	29	23	3	0	2
4	Jacob Ingham	Condors (EDM)	5	3	2	0	93.6%	2.01	299	0	1	10	156	0	1	0.0%	0	5	0	1	0	0
Team Total or Average		89	46	30	6	0.913	2.62	4963	6	6	217	2502	0	4	0.913	23	82	82	10	2	4

Lines

Forward Lines
# - Peyton Krebs	# - Matthew Phillips	# - Rasmus Kupari
# - Taro Hirose	# - Nate Thompson	# - Kole Lind
# - Pierre-Cedric Labrie	# - Jack Drury	# - Joey Anderson
# - Michael Eyssimont	# - Mitchell Stephens	# - Jeff Kubiak

Defensive Pairings
# - Conor Timmins	# - Greg Moro
# - Yanni Kaldis	# - Jimmy Oligny
# - Matthew Robertson	# - Nicolas Beaudin

1st Power Play Unit
# - Peyton Krebs		# - Matthew Phillips		# - Rasmus Kupari
# - Conor Timmins			# - Yanni Kaldis

2nd Power Play Unit
# - Taro Hirose		# - Mitchell Stephens		# - Kole Lind
# - Nicolas Beaudin			# - Jimmy Oligny

Goalies
# - Dustin Wolf		# - Jon Gillies

Team Stats

Show or Hide Column

Filter Tips

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

#	VS Team	GP	W	L	OTW	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	GF%	SH%	SV%	PDO	PDOBRK
1	Penguins	2	1	1	0	0	0	0	6	9	-3	2	0.500	6	12	18	0	0	85	82	62	13	70	888	867	839	62	77	14	8	56	5	1	20.00%	4	1	75.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	38.5%	8.6%	88.3%	96.9	Unlucky
2	Islanders	2	2	0	0	0	0	0	5	1	4	4	1.000	5	9	14	0	1	85	82	62	13	61	888	867	839	62	49	14	2	49	3	1	33.33%	1	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	80.0%	8.2%	98.0%	106.2	DULL
3	Wolf Pack	2	1	1	0	0	0	0	4	7	-3	2	0.500	4	8	12	0	0	85	82	62	13	54	888	867	839	62	67	19	10	30	5	0	0.00%	5	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	36.4%	7.4%	89.6%	97.0	Unlucky
4	Comets	2	1	1	0	0	0	0	6	2	4	2	0.500	6	11	17	0	1	85	82	62	13	72	888	867	839	62	49	16	10	45	6	2	33.33%	4	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	66.7%	8.3%	95.9%	104.3	DULL
5	Phantoms	2	1	0	0	0	1	0	8	5	3	4	1.000	8	13	21	0	0	85	82	62	13	64	888	867	839	62	65	22	6	32	4	2	50.00%	3	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	54.5%	12.5%	92.3%	104.8	LUCKY
6	Wolves	2	2	0	0	0	0	0	7	3	4	4	1.000	7	14	21	0	0	85	82	62	13	65	888	867	839	62	46	14	8	41	6	1	16.67%	4	2	50.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	85.7%	10.8%	93.5%	104.2	LUCKY
7	Crunch	2	1	1	0	0	0	0	8	5	3	2	0.500	8	15	23	0	0	85	82	62	13	55	888	867	839	62	73	16	9	40	3	1	33.33%	2	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	58.3%	14.5%	93.2%	107.7	LUCKY
8	Moose	3	2	1	0	0	0	0	11	10	1	4	0.667	11	16	27	0	0	85	82	62	13	98	888	867	839	62	98	29	16	57	5	0	0.00%	8	3	62.50%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	61.1%	11.2%	89.8%	101.0	FUN
9	Bears	2	1	1	0	0	0	0	5	5	0	2	0.500	5	10	15	0	0	85	82	62	13	52	888	867	839	62	71	20	14	38	1	0	0.00%	7	2	71.43%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	62.5%	9.6%	93.0%	102.6	LUCKY
10	Checkers	2	1	1	0	0	0	0	6	4	2	2	0.500	6	11	17	0	0	85	82	62	13	53	888	867	839	62	47	16	8	51	5	1	20.00%	4	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	55.6%	11.3%	91.5%	102.8	LUCKY
11	Bruins	2	0	1	1	0	0	0	3	6	-3	2	0.500	3	3	6	0	0	85	82	62	13	42	888	867	839	62	65	21	10	34	6	0	0.00%	5	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	33.3%	7.1%	90.8%	97.9	Unlucky
12	Senators	2	1	1	0	0	0	0	7	6	1	2	0.500	7	14	21	0	0	85	82	62	13	59	888	867	839	62	58	19	10	34	3	1	33.33%	5	2	60.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	60.0%	11.9%	89.7%	101.5	FUN
13	Rocket	2	1	1	0	0	0	0	8	6	2	2	0.500	8	16	24	0	0	85	82	62	13	66	888	867	839	62	50	24	8	38	5	1	20.00%	4	1	75.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	58.3%	12.1%	88.0%	100.1	FUN
14	Americans	2	1	1	0	0	0	0	4	7	-3	2	0.500	4	8	12	0	1	85	82	62	13	66	888	867	839	62	60	18	0	63	6	1	16.67%	0	0	0.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	30.0%	6.1%	88.3%	94.4	Unlucky
15	Marlies	2	2	0	0	0	0	0	5	1	4	4	1.000	5	6	11	0	1	85	82	62	13	67	888	867	839	62	74	18	10	52	4	0	0.00%	5	0	100.00%	1	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	83.3%	7.5%	98.6%	106.1	DULL
16	Thunderbirds	3	1	2	0	0	0	0	6	8	-2	2	0.333	6	11	17	0	0	85	82	62	13	74	888	867	839	62	92	31	10	84	7	1	14.29%	5	1	80.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	41.7%	8.1%	91.3%	99.4	DULL
17	Griffins	2	1	1	0	0	0	0	3	3	0	2	0.500	3	6	9	0	1	85	82	62	13	64	888	867	839	62	47	13	8	35	7	0	0.00%	4	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	50.0%	4.7%	93.6%	98.3	DULL
18	IceHogs	3	1	0	1	0	0	1	9	6	3	5	0.833	9	16	25	0	0	85	82	62	13	97	888	867	839	62	90	33	10	59	5	0	0.00%	4	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	60.0%	9.3%	93.3%	102.6	LUCKY
19	Monsters	2	1	1	0	0	0	0	5	5	0	2	0.500	5	8	13	0	0	85	82	62	13	67	888	867	839	62	66	14	8	41	5	0	0.00%	3	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	50.0%	7.5%	92.4%	99.9	DULL
20	Admirals	3	2	0	0	0	1	0	10	3	7	6	1.000	10	15	25	0	1	85	82	62	13	89	888	867	839	62	96	36	19	54	4	1	25.00%	6	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	75.0%	11.2%	96.9%	108.1	LUCKY
21	Wild	3	0	3	0	0	0	0	9	16	-7	0	0.000	9	18	27	2	0	85	82	62	13	89	888	867	839	62	123	39	24	63	2	1	50.00%	11	7	36.36%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	47.1%	10.1%	87.0%	97.1	FUN
22	Heat	3	1	1	0	1	0	0	7	7	0	3	0.500	7	12	19	1	0	85	82	62	13	112	888	867	839	62	100	22	11	71	7	2	28.57%	2	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	41.7%	6.3%	93.0%	99.3	DULL
23	Canucks	3	3	0	0	0	0	0	14	9	5	6	1.000	14	27	41	0	0	85	82	62	13	94	888	867	839	62	78	24	6	61	8	4	50.00%	3	2	33.33%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	58.8%	14.9%	88.5%	103.4	FUN
24	Eagles	3	2	1	0	0	0	0	8	8	0	4	0.667	8	15	23	0	0	85	82	62	13	89	888	867	839	62	89	28	10	56	11	0	0.00%	5	0	100.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	50.0%	9.0%	91.0%	100.0	FUN
25	Reign	4	2	0	2	0	0	0	13	9	4	8	1.000	13	24	37	0	0	85	82	62	13	132	888	867	839	62	106	43	36	90	4	0	0.00%	8	2	75.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	65.0%	9.8%	91.5%	101.4	LUCKY
26	Roadrunners	3	0	1	0	2	0	0	7	12	-5	2	0.333	7	12	19	0	0	85	82	62	13	113	888	867	839	62	84	24	20	64	7	1	14.29%	10	4	60.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	42.9%	6.2%	85.7%	91.9	Unlucky
27	Stars	3	0	1	2	0	0	0	9	9	0	4	0.667	9	16	25	0	0	85	82	62	13	106	888	867	839	62	95	34	18	80	8	0	0.00%	9	2	77.78%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	56.3%	8.5%	90.5%	99.0	Unlucky
28	Gulls	4	2	1	0	0	1	0	15	10	5	6	0.750	15	25	40	0	0	85	82	62	13	141	888	867	839	62	103	38	16	83	11	2	18.18%	8	1	87.50%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	59.1%	10.6%	90.3%	100.9	FUN
29	Barracuda	4	1	1	1	1	0	0	13	12	1	5	0.625	13	25	38	1	0	85	82	62	13	161	888	867	839	62	135	44	16	70	11	2	18.18%	6	2	66.67%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	52.4%	8.1%	91.1%	99.2	Unlucky
30	Firebirds	4	0	4	0	0	0	0	8	13	-5	0	0.000	8	14	22	0	0	85	82	62	13	115	888	867	839	62	126	33	24	94	9	2	22.22%	12	1	91.67%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	33.3%	7.0%	89.7%	96.6	Unlucky
31	Silver Knights	4	1	2	0	1	0	0	10	15	-5	3	0.375	10	19	29	0	0	85	82	62	13	144	888	867	839	62	127	50	24	99	12	1	8.33%	12	3	75.00%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	42.9%	6.9%	88.2%	95.1	Unlucky
	_Vs Division	26	10	9	3	3	1	0	80	75	5	31	0.596	80	146	226	2	0	85	82	62	13	899	888	867	839	62	775	254	133	568	62	13	20.97%	51	11	78.43%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	51.1%	8.9%	90.3%	99.2	Unlucky
	_Vs Conference	50	18	18	6	5	2	1	149	147	2	58	0.580	149	265	414	4	1	85	82	62	13	1654	888	867	839	62	1542	508	260	1085	111	17	15.32%	109	28	74.31%	0	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	52.6%	9.0%	90.5%	99.5	FUN
	_Since Last GM Reset	82	36	30	7	5	3	1	239	222	17	98	0.598	239	429	668	4	6	85	82	62	13	2631	888	867	839	62	2506	786	389	1764	185	29	15.68%	169	36	78.70%	1	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	53.0%	9.1%	91.1%	100.2	Unlucky
	Total	82	36	30	7	5	3	1	239	222	17	98	0.598	239	429	668	4	6	85	82	62	13	2631	888	867	839	62	2506	786	389	1764	185	29	15.68%	169	36	78.70%	1	1508	2917	51.70%	1502	2981	50.39%	660	1311	50.34%	1910	1247	1874	662	1182	592	53.0%	9.1%	91.1%	100.2	Unlucky

	Puck Time
Offensive Zone	23
Neutral Zone	14
Defensive Zone	22

	Puck Time
Offensive Zone Start	2917
Neutral Zone Start	1311
Defensive Zone Start	2981

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	3670
Faceoffs Lost	3539

	Team Average Shots after	League Average Shots after
1st Period	10.8	9.57
2nd Period	21.4	20.31
3rd Period	31.6	30.68
Overtime	32.4	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.0	0.64
2nd Period	2.0	1.65
3rd Period	2.8	2.67
Overtime	3.0	2.83


Even Strenght Goal	205
PP Goal	29
PK Goal	1
Empty Net Goal	4

	Home	Away
Win	26	20
Lost	12	18
Overtime Lost	3	3


PP Attempt	185
PP Goal	29
PK Attempt	169
PK Goal Against	36

	Home
Shots For	32.1
Shots Against	30.6
Goals For	2.9
Goals Against	2.7
Hits	21.5
Shots Blocked	9.6
Pim	4.7

Schedule

Date	Matchup			Result	Detail
Wed, Oct 12	ABB	@	BKS	ABB4,BKS6	RECAP
Sat, Oct 15	STC	@	BKS	STC3,BKS1	RECAP
Tue, Oct 18	ROC	@	BKS	ROC0,BKS3	RECAP
Thu, Oct 20	CHW	@	BKS	CHW1,BKS3	RECAP
Sat, Oct 22	SPR	@	BKS	SPR2,BKS3	RECAP
Mon, Oct 24	WIL	@	BKS	WIL4,BKS5	RECAP
Wed, Oct 26	BKS	@	SPR	BKS3,SPR4	RECAP
Thu, Oct 27	BKS	@	RFD	BKS5,RFD2	RECAP
Sat, Oct 29	BKS	@	STC	BKS2,STC3 (OT)	RECAP
Tue, Nov 1	MIL	@	BKS	MIL2,BKS3 (SO)	RECAP
Thu, Nov 3	UTI	@	BKS	UTI0,BKS6	RECAP
Sat, Nov 5	TEX	@	BKS	TEX4,BKS5 (OT)	RECAP
Mon, Nov 7	BKS	@	HER	BKS2,HER1	RECAP
Tue, Nov 8	BKS	@	SYR	BKS6,SYR2	RECAP
Thu, Nov 10	BKS	@	CHW	BKS4,CHW2	RECAP
Sat, Nov 12	BKS	@	CHA	BKS1,CHA3	RECAP
Wed, Nov 16	ONT	@	BKS	ONT2,BKS3 (OT)	RECAP
Sat, Nov 19	HSK	@	BKS	HSK3,BKS2 (OT)	RECAP
Mon, Nov 21	BKS	@	UTI	BKS0,UTI2	RECAP
Wed, Nov 23	BKS	@	BRI	BKS3,BRI0	RECAP
Sat, Nov 26	BKS	@	HWP	BKS0,HWP5	RECAP
Mon, Nov 28	CHA	@	BKS	CHA1,BKS5	RECAP
Wed, Nov 30	BKS	@	RFD	BKS3,RFD2 (OT)	RECAP
Thu, Dec 1	BKS	@	IOW	BKS2,IOW5	RECAP
Sat, Dec 3	LAV	@	BKS	LAV3,BKS6	RECAP
Mon, Dec 5	HER	@	BKS	HER4,BKS3	RECAP
Wed, Dec 7	TUC	@	BKS	TUC5,BKS4 (OT)	RECAP
Fri, Dec 9	IOW	@	BKS	IOW5,BKS3	RECAP
Mon, Dec 12	BKS	@	IOW	BKS4,IOW6	RECAP
Tue, Dec 13	BKS	@	MIL	BKS4,MIL1	RECAP
Thu, Dec 15	SPR	@	BKS	SPR2,BKS0	RECAP
Sat, Dec 17	SDG	@	BKS	SDG2,BKS5	RECAP
Mon, Dec 19	BKS	@	MIL	BKS3,MIL0	RECAP
Wed, Dec 21	BKS	@	TEX	BKS2,TEX4	RECAP
Fri, Dec 23	ABB	@	BKS	ABB3,BKS5	RECAP
Tue, Dec 27	BKS	@	STC	BKS4,STC1	RECAP
Fri, Dec 30	BKS	@	CVF	BKS1,CVF3	RECAP
Sat, Dec 31	MAN	@	BKS	MAN4,BKS6	RECAP
Tue, Jan 3	CVF	@	BKS	CVF2,BKS1	RECAP
Thu, Jan 5	BRI	@	BKS	BRI1,BKS2	RECAP
Sat, Jan 7	COE	@	BKS	COE5,BKS1	RECAP
Mon, Jan 9	BKS	@	ONT	BKS3,ONT2 (OT)	RECAP
Wed, Jan 11	BKS	@	SDG	BKS4,SDG3 (SO)	RECAP
Fri, Jan 13	BKS	@	SJB	BKS4,SJB3 (OT)	RECAP
Sat, Jan 14	BKS	@	HSK	BKS2,HSK3	RECAP
Tue, Jan 17	CVF	@	BKS	CVF3,BKS2	RECAP
Thu, Jan 19	SYR	@	BKS	SYR3,BKS2	RECAP
Sat, Jan 21	BKS	@	ABB	BKS3,ABB2	RECAP
Wed, Jan 25	CLV	@	BKS	CLV2,BKS4	RECAP
Sat, Jan 28	RFD	@	BKS	RFD2,BKS1 (SO)	RECAP
Tue, Feb 7	BKS	@	GRG	BKS1,GRG3	RECAP
Thu, Feb 9	BKS	@	LVP	BKS4,LVP3 (SO)	RECAP
Sat, Feb 11	BKS	@	BEL	BKS3,BEL1	RECAP
Sun, Feb 12	BKS	@	LAV	BKS2,LAV3	RECAP
Wed, Feb 15	GRG	@	BKS	GRG0,BKS2	RECAP
Fri, Feb 17	HWP	@	BKS	HWP2,BKS4	RECAP
Sun, Feb 19	BKS	@	COE	BKS4,COE1	RECAP
Tue, Feb 21	LVP	@	BKS	LVP2,BKS4	RECAP
Thu, Feb 23	BKS	@	WIL	BKS1,WIL5	RECAP
Sat, Feb 25	BKS	@	CLV	BKS1,CLV3	RECAP
Mon, Feb 27	PVD	@	BKS	PVD2,BKS3 (OT)	RECAP
Wed, Mar 1	TOM	@	BKS	TOM1,BKS2	RECAP
Fri, Mar 3	MAN	@	BKS	MAN1,BKS2	RECAP
Sat, Mar 4	BKS	@	MAN	BKS3,MAN5	RECAP
Mon, Mar 6	BKS	@	ROC	BKS1,ROC7	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Thu, Mar 9	BKS	@	PVD	BKS0,PVD4	RECAP
Sat, Mar 11	BKS	@	TOM	BKS3,TOM0	RECAP
Tue, Mar 14	BEL	@	BKS	BEL5,BKS4	RECAP
Thu, Mar 16	TEX	@	BKS	TEX1,BKS2 (OT)	RECAP
Sat, Mar 18	BKS	@	CVF	BKS4,CVF5	RECAP
Mon, Mar 20	SJB	@	BKS	SJB3,BKS1	RECAP
Wed, Mar 22	TUC	@	BKS	TUC4,BKS1	RECAP
Sat, Mar 25	HSK	@	BKS	HSK6,BKS2	RECAP
Mon, Mar 27	BKS	@	TUC	BKS2,TUC3 (OT)	RECAP
Tue, Mar 28	BKS	@	HSK	BKS4,HSK3	RECAP
Thu, Mar 30	ONT	@	BKS	ONT3,BKS4	RECAP
Sat, Apr 1	SDG	@	BKS	SDG1,BKS4	RECAP
Tue, Apr 4	BKS	@	ONT	BKS3,ONT2	RECAP
Wed, Apr 5	BKS	@	SDG	BKS2,SDG4	RECAP
Sat, Apr 8	BKS	@	SJB	BKS3,SJB4 (OT)	RECAP
Tue, Apr 11	BKS	@	COE	BKS3,COE2	RECAP
Thu, Apr 13	SJB	@	BKS	SJB2,BKS5	RECAP

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

Condors46-30-6, 98pts

32Final

Eagles50-25-7, 107pts

Barracuda32-39-11, 75pts

25Final

Condors46-30-6, 98pts

Barracuda32-39-11, 75pts

Fri, Apr 14

Condors46-30-6, 98pts

Heat28-41-13, 69pts

Sun, Oct 16

Condors46-30-6, 98pts

Americans47-28-7, 101pts

Wed, Oct 19

Condors46-30-6, 98pts

Team Info


	Head Coach	Kirk Muller
	Division	Pacific Division
	City	Bakersfield
	Stadium Capacity	3,000

Condors Affiliation


	General Manager	Ondrej Pajatsch
	Head Coach	Sheldon Keefe
	Stadium	Rogers Place
	Capacity	18,347

Team Leaders

GOALS Mitchell Stephens Condors	30 GOALS
POINTS Mitchell Stephens Condors	72 POINTS
WINS Jon Gillies Condors	16 WINS
Expanded Player Leaderboard

Team Stats

Goals For 239 2.91 GFG	Goals Against 222 2.71 GAA
Power Play Percentage 15.7% 29 GF	Penalty Kill Percentage 78.7% 36 GA
Expanded Team Stats

Matthew Phillips