Canadian Hockey League

Predators
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	Cyclones 34-37-6, 74pts	4	FINAL	3	Checkers 30-39-8, 68pts

Team Stats
L1	Streak	SOW1
18-16-4	Home Record	17-16-5
16-21-2	Away Record	13-23-3
5-5-0	Last 10 Games	4-4-2
2.73	Goals Per Game	2.73
2.96	Goals Against Per Game	3.14
16.76%	Power Play Percentage	13.77%
82.92%	Penalty Kill Percentage	87.64%

BaronsOKC
48-22-7, 103pts

FINAL

Cyclones
34-37-6, 74pts

Team Stats
W1	Streak	L1
24-11-3	Home Record	18-16-4
24-11-4	Away Record	16-21-2
7-3-0	Last 10 Games	5-5-0
4.01	Goals Per Game	2.73
3.44	Goals Against Per Game	2.96
15.56%	Power Play Percentage	16.76%
85.49%	Penalty Kill Percentage	82.92%

IceBears
20-48-7, 47pts

Day 174

Cyclones
34-37-6, 74pts

Team Stats
L2	Streak	L1
10-25-4	Home Record	18-16-4
10-23-3	Away Record	16-21-2
2-6-2	Last 10 Games	5-5-0
3.03	Goals Per Game	2.73
4.25	Goals Against Per Game	2.96
15.65%	Power Play Percentage	16.76%
78.73%	Penalty Kill Percentage	82.92%

Team Leaders
	Goals Alexey Toropchenko 28	Assists Trevor vanRiemsdyk 39

	Points Alex Limoges 63	Plus/Minus Alexey Toropchenko 4

	Wins Spencer Martin 14	Save Percentage Keith Kinkaid 0.929

Team Stats
Goals For 210 2.73 GFG	Shots For 1830 23.77 Avg	Power Play Percentage 16.8% 58 GF	Offensive Zone Start 39.6%
Goals Against 228 2.96 GAA	Shots Against 2131 27.68 Avg	Penalty Kill Percentage 82.9% 48 GA	Defensive Zone Start 39.8%

Team Info
	General Manager	Jean-Olivier Guillemette
	Coach	Dallas Eakins
	Division	Central
	Conference	Western
	Captain	Chris Tierney
	Assistant #1	Alexey Toropchenko
	Assistant #2	Trevor vanRiemsdyk
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	21
	Contract Limit	47 / 50
	Prospects	5
Team History
	This Season	34-37-6 (74PTS)
	History	927-565-130 (0.572%)
	Playoff Appearances	15
	Playoff Record (W-L)	114-89
	Stanley Cup	2

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	Justin Danforth	X				100.00	76	41	83	83	47	79	92	60	84	58	62	76	40	86	83	35	20	67	0	31	2	900,000$
2	Alexey Toropchenko (A)			X		100.00	87	60	83	75	84	76	99	56	40	47	64	75	40	74	75	65	23	66	0	25	2	1,975,000$
3	Alex Limoges		X			100.00	74	70	84	80	65	71	61	59	40	56	62	70	40	78	75	55	22	63	0	27	3	1,000,000$
4	Alex Steeves		X			100.00	48	44	82	81	59	74	64	61	40	58	64	60	40	74	74	65	22	62	0	25	1	825,000$
5	Chris Tierney (C)	X				100.00	49	51	82	77	59	70	79	54	92	53	56	68	60	84	77	40	22	62	0	30	2	950,000$
6	Cole Koepke		X			100.00	84	48	85	77	65	62	52	55	40	49	61	70	40	76	69	60	22	61	0	26	1	700,000$
7	Walker Duehr			X		100.00	79	53	87	75	70	68	70	52	40	50	54	60	40	78	73	55	23	60	0	27	3	1,000,000$
8	Denis Malgin	X				100.00	65	41	88	82	46	60	50	58	40	50	56	57	40	78	69	55	22	58	0	27	1	1,700,000$
9	Filip Chlapik			X		100.00	94	49	84	76	62	60	50	53	40	48	50	50	40	78	69	55	23	56	0	27	1	1,700,000$
10	Bryce Kindopp			X		100.00	70	78	84	75	59	60	50	32	40	26	38	62	40	74	67	65	22	50	0	25	1	770,000$
11	Nathan Noel	X				100.00	58	59	66	75	46	60	50	30	70	27	34	57	40	78	69	55	18	48	0	27	1	1,350,000$
12	Trevor vanRiemsdyk (A)				X	100.00	47	49	85	75	63	81	91	53	40	56	50	79	40	90	86	25	22	68	0	33	1	1,000,000$
13	Brayden Pachal				X	100.00	99	55	70	75	66	74	77	52	40	48	55	70	40	74	74	65	21	67	0	25	1	850,000$
14	Jacob Moverare				X	100.00	52	54	85	75	72	67	60	48	40	40	55	65	40	76	72	60	21	61	0	26	1	925,000$
15	Marc Del Gaizo				X	100.00	50	49	79	78	54	64	59	51	40	56	46	70	40	74	69	65	19	61	0	25	3	975,000$
16	Calle Rosen				X	100.00	48	46	86	75	56	72	67	46	40	57	34	50	40	84	78	40	22	58	0	30	1	850,000$
17	Anttoni Honka (R)				X	100.00	44	41	84	77	47	55	50	47	40	53	41	51	40	72	64	70	22	54	0	24	1	750,000$
Scratches
1	Mike Hardman		X			100.00	99	61	83	75	68	72	62	49	40	40	59	61	40	74	73	65	20	59	0	25	1	825,000$
2	Chase Wheatcroft (R)		X			100.00	49	44	78	86	53	60	50	39	40	43	35	55	40	68	64	80	20	51	0	22	3	1,000,000$
3	Jon-Randall Avon (R)		X			100.00	47	46	84	89	48	74	64	36	40	31	41	50	40	66	70	85	20	51	0	21	3	1,000,000$
4	Zack Hayes				X	100.00	86	50	77	75	83	55	50	34	40	30	39	50	40	74	65	65	20	56	0	25	1	825,000$

	TEAM AVERAGE					100.00	67	52	82	78	61	67	64	49	46	46	50	62	41	77	72	58	21	59

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	Spencer Martin	100.00	79	53	60	89	62	60	63	59	62	60	94	82	71	45	22	65	0	29	3	1,000,000$
2	Keith Kinkaid	100.00	75	50	60	88	50	50	50	50	50	50	40	94	72	15	22	59	0	35	2	1,250,000$
Scratches
1	Eric Comrie	100.00	76	50	60	86	50	50	50	50	50	50	87	82	66	45	20	58	0	29	3	1,200,000$
2	Erik Kallgren	100.00	77	50	60	91	50	50	50	50	50	50	40	80	65	50	20	58	0	28	2	2,000,000$
3	Devin Cooley (R)	100.00	81	50	60	93	50	50	50	50	50	50	50	78	64	55	20	58	0	27	3	1,200,000$

	TEAM AVERAGE	100.00	78	51	60	89	52	52	53	52	52	52	62	83	68	42	21	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dallas Eakins	46	69	52	64	87	87	56	CAN	57	2	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Alex Limoges	Cyclones (Nas)	LW	77	27	36	63	-3	28	0	103	197	239	62	162	11.30%	12	1702	22.11	10	12	22	47	262	1	0	1	7	236	2	1	43.48%	138	0	1	0.74	2	5	0	0	0	7	7	5
2	Alexey Toropchenko	Cyclones (Nas)	RW	77	28	30	58	4	61	5	146	113	217	55	124	12.90%	14	1364	17.72	10	10	20	55	277	0	0	0	0	41	8	0	46.15%	117	1	0	0.85	0	5	0	0	1	9	8	1
3	Chris Tierney	Cyclones (Nas)	C	77	17	38	55	-3	0	0	10	276	188	53	136	9.04%	20	1739	22.58	2	12	14	26	251	0	0	0	4	181	2	0	63.20%	2060	0	2	0.63	0	2	0	0	0	5	0	6
4	Alex Steeves	Cyclones (Nas)	LW	77	21	30	51	-15	12	0	17	160	208	65	153	10.10%	20	1550	20.14	4	12	16	47	240	0	0	0	5	129	4	1	42.35%	85	0	0	0.66	1	2	0	0	0	4	2	4
5	Trevor vanRiemsdyk	Cyclones (Nas)	D	77	5	39	44	-15	2	0	17	115	104	35	64	4.81%	108	1914	24.86	4	11	15	69	280	0	0	0	0	239	0	2	0.00%	0	0	0	0.46	0	0	0	0	0	0	2	2
6	Cole Koepke	Cyclones (Nas)	LW	77	26	17	43	-2	18	0	60	113	155	38	133	16.77%	24	1148	14.92	1	4	5	8	52	0	1	1	3	89	3	0	48.79%	207	0	0	0.75	1	2	0	0	0	6	5	3
7	Justin Danforth	Cyclones (Nas)	C	43	16	22	38	-10	10	0	49	164	134	38	95	11.94%	14	919	21.39	5	10	15	37	160	0	0	0	3	164	3	0	62.73%	1049	0	0	0.83	0	3	0	0	0	4	4	2
8	Denis Malgin	Cyclones (Nas)	C	77	12	25	37	-14	12	0	31	168	117	35	95	10.26%	13	1366	17.75	1	8	9	14	138	0	0	0	2	73	2	0	41.48%	1367	0	0	0.54	0	0	0	0	0	0	2	9
9	Walker Duehr	Cyclones (Nas)	RW	77	16	20	36	-21	63	5	222	81	111	38	68	14.41%	13	1471	19.11	4	6	10	20	263	0	0	0	0	5	2	0	45.89%	146	0	0	0.49	0	1	0	0	1	2	10	4
10	Brayden Pachal	Cyclones (Nas)	D	77	10	21	31	-16	190	10	350	77	79	24	54	12.66%	75	1762	22.89	6	8	14	44	270	0	1	1	0	163	1	1	0.00%	0	0	0	0.35	0	0	1	0	0	3	2	8
11	Filip Chlapik	Cyclones (Nas)	RW	77	7	16	23	-3	27	5	120	51	66	24	51	10.61%	3	962	12.50	0	0	0	2	18	0	0	0	0	2	0	0	55.56%	54	0	0	0.48	0	0	0	0	1	1	3	3
12	Jacob Moverare	Cyclones (Nas)	D	77	9	14	23	-8	59	15	130	52	74	22	40	12.16%	67	1620	21.04	5	8	13	39	244	0	0	0	1	182	2	1	100.00%	1	0	0	0.28	0	0	0	1	2	3	3	0
13	Calle Rosen	Cyclones (Nas)	D	77	2	20	22	-4	50	0	111	42	16	5	10	12.50%	57	1459	18.95	1	3	4	5	118	0	0	0	0	145	0	0	71.43%	7	0	0	0.30	1	2	0	0	0	2	0	1
14	Marc Del Gaizo	Cyclones (Nas)	D	47	4	18	22	-5	18	0	79	64	45	15	30	8.89%	56	980	20.87	3	2	5	34	157	0	0	0	1	128	0	0	0.00%	0	0	0	0.45	0	1	0	0	0	1	3	4
15	Anttoni Honka	Cyclones (Nas)	D	77	1	15	16	-3	40	0	83	27	9	5	10	11.11%	59	1203	15.63	1	0	1	4	32	0	0	0	0	60	0	0	0.00%	0	0	0	0.27	0	0	0	0	0	0	1	1
16	Mike Hardman	Cyclones (Nas)	LW	34	3	5	8	-4	16	0	71	36	36	13	21	8.33%	2	384	11.32	1	0	1	1	9	0	0	0	0	17	2	0	39.82%	113	0	0	0.42	0	0	0	0	0	0	1	1
17	Nathan Noel	Cyclones (Nas)	C	48	1	4	5	-4	9	5	11	52	9	2	4	11.11%	2	372	7.77	0	0	0	0	0	0	0	0	0	1	0	0	61.50%	374	0	0	0.27	0	0	0	0	1	0	0	0
18	Bryce Kindopp	Cyclones (Nas)	RW	77	3	0	3	-4	40	10	22	14	16	4	12	18.75%	8	486	6.32	0	0	0	0	3	0	0	0	0	10	1	1	35.48%	31	0	0	0.12	0	0	1	0	1	0	1	0
19	Zack Hayes	Cyclones (Nas)	D	14	0	2	2	0	18	0	62	3	3	0	1	0.00%	9	213	15.22	0	0	0	1	3	0	0	0	0	10	0	0	0.00%	0	0	0	0.19	0	0	0	0	0	0	0	0
Team Total or Average				1264	208	372	580	-130	673	55	1694	1805	1826	533	1263	11.39%	576	22623	17.90	58	106	164	453	2786	1	2	3	26	1885	32	7	55.09%	5749	1	3	0.51	5	23	2	1	7	47	54	54

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Spencer Martin	Cyclones (Nas)	42	14	22	5	0.882	3.13	2412	3	126	1071	1	1	0.778	9	41	36	2	3	1
2	Keith Kinkaid	Cyclones (Nas)	3	0	0	0	0.929	2.35	51	0	2	28	0	0	0.000	0	0	35	0	1	0
Team Total or Average			45	14	22	5	0.884	3.12	2464	3	128	1099	1	1	0.778	9	41	71	2	4	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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2038	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2039	2040	2041	Link
Alex Limoges	Cyclones (Nas)	LW	27	1997-09-16	No	207 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	UFA	Link / NHL Link
Alex Steeves	Cyclones (Nas)	LW	25	1999-10-12	No	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	825,000$	0$	0$	No	RFA			Link / NHL Link
Alexey Toropchenko	Cyclones (Nas)	RW	25	1999-06-25	No	222 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,975,000$	0$	0$	No	1,975,000$	RFA		Link / NHL Link
Anttoni Honka	Cyclones (Nas)	D	24	2000-10-05	Yes	179 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link
Brayden Pachal	Cyclones (Nas)	D	25	1999-08-23	No	202 Lbs	6 ft2	No	No	No	1	Pro & Farm	850,000$	0$	0$	No	RFA			Link / NHL Link
Bryce Kindopp	Cyclones (Nas)	RW	25	1999-06-14	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	770,000$	0$	0$	No	RFA			Link / NHL Link
Calle Rosen	Cyclones (Nas)	D	30	1994-02-02	No	186 Lbs	6 ft1	No	No	No	1	Pro & Farm	850,000$	0$	0$	No	UFA			Link / NHL Link
Chase Wheatcroft	Cyclones (Nas)	LW	22	2002-05-28	Yes	176 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	RFA	Link / NHL Link
Chris Tierney	Cyclones (Nas)	C	30	1994-07-01	No	191 Lbs	6 ft1	No	No	No	2	Pro & Farm	950,000$	0$	0$	No	950,000$	UFA		Link / NHL Link
Cole Koepke	Cyclones (Nas)	LW	26	1998-05-17	No	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No	RFA			Link / NHL Link
Denis Malgin	Cyclones (Nas)	C	27	1997-01-18	No	182 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,700,000$	0$	0$	No	UFA			Link / NHL Link
Devin Cooley	Cyclones (Nas)	G	27	1997-05-25	Yes	192 Lbs	6 ft5	No	No	No	3	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	1,200,000$	UFA	Link / NHL Link
Eric Comrie	Cyclones (Nas)	G	29	1995-07-06	No	180 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	1,200,000$	UFA	Link / NHL Link
Erik Kallgren	Cyclones (Nas)	G	28	1996-10-14	No	175 Lbs	6 ft1	No	No	No	2	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	UFA		Link / NHL Link
Filip Chlapik	Cyclones (Nas)	RW	27	1997-06-03	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,700,000$	0$	0$	No	UFA			Link / NHL Link
Jacob Moverare	Cyclones (Nas)	D	26	1998-08-31	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA			Link / NHL Link
Jon-Randall Avon	Cyclones (Nas)	LW	21	2003-07-04	Yes	174 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	RFA	Link / NHL Link
Justin Danforth	Cyclones (Nas)	C	31	1993-03-15	No	188 Lbs	5 ft8	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$	UFA		Link / NHL Link
Keith Kinkaid	Cyclones (Nas)	G	35	1989-07-04	No	190 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	UFA		Link / NHL Link
Marc Del Gaizo	Cyclones (Nas)	D	25	1999-10-11	No	193 Lbs	5 ft10	No	No	No	3	Pro & Farm	975,000$	0$	0$	No	975,000$	975,000$	UFA	Link / NHL Link
Mike Hardman	Cyclones (Nas)	LW	25	1999-02-05	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	825,000$	0$	0$	No	RFA			Link / NHL Link
Nathan Noel	Cyclones (Nas)	C	27	1997-06-21	No	174 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,350,000$	0$	0$	No	UFA			Link / NHL Link
Spencer Martin	Cyclones (Nas)	G	29	1995-06-08	No	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	UFA	Link / NHL Link
Trevor vanRiemsdyk	Cyclones (Nas)	D	33	1991-07-24	No	191 Lbs	6 ft3	Yes	No	No	1	Pro & Farm	1,000,000$	0$	0$	No	UFA			Link / NHL Link
Walker Duehr	Cyclones (Nas)	RW	27	1997-11-23	No	210 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	UFA	Link / NHL Link
Zack Hayes	Cyclones (Nas)	D	25	1999-04-24	No	231 Lbs	6 ft3	No	No	No	1	Pro & Farm	825,000$	0$	0$	No	RFA			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	26.96	194 Lbs	6 ft1	1.81	1,096,923$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Limoges	Justin Danforth	Alexey Toropchenko	40	1	2	2
2	Alex Steeves	Chris Tierney	Walker Duehr	30	1	2	2
3	Cole Koepke	Denis Malgin	Filip Chlapik	20	1	2	2
4	Alex Limoges	Nathan Noel	Bryce Kindopp	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Trevor vanRiemsdyk	Brayden Pachal	40	1	2	2
2	Jacob Moverare	Marc Del Gaizo	30	1	2	2
3	Calle Rosen	Anttoni Honka	20	1	2	2
4	Trevor vanRiemsdyk	Brayden Pachal	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Limoges	Justin Danforth	Alexey Toropchenko	60	1	2	2
2	Alex Steeves	Chris Tierney	Walker Duehr	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Trevor vanRiemsdyk	Brayden Pachal	60	1	2	2
2	Jacob Moverare	Marc Del Gaizo	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Justin Danforth	Alex Limoges	60	1	2	2
2	Chris Tierney	Alex Steeves	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Trevor vanRiemsdyk	Brayden Pachal	60	1	2	2
2	Jacob Moverare	Marc Del Gaizo	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Justin Danforth	60	1	2	2	Trevor vanRiemsdyk	Brayden Pachal	60	1	2	2
2	Chris Tierney	40	1	2	2	Jacob Moverare	Marc Del Gaizo	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Justin Danforth	Alex Limoges	60	1	2	2
2	Chris Tierney	Alex Steeves	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Trevor vanRiemsdyk	Brayden Pachal	60	1	2	2
2	Jacob Moverare	Marc Del Gaizo	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Limoges	Justin Danforth	Alexey Toropchenko	Trevor vanRiemsdyk	Brayden Pachal

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Limoges	Justin Danforth	Alexey Toropchenko	Trevor vanRiemsdyk	Brayden Pachal

Extra Forwards
Normal	PowerPlay	Penalty Kill
Chris Tierney, Cole Koepke, Walker Duehr	Chris Tierney, Cole Koepke	Chris Tierney

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Marc Del Gaizo, Calle Rosen, Anttoni Honka	Marc Del Gaizo	Marc Del Gaizo, Calle Rosen

Penalty Shots
Justin Danforth, Alexey Toropchenko, Alex Limoges, Alex Steeves, Chris Tierney

Goalie
#1 : Spencer Martin, #2 : Keith Kinkaid

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	Bandits	4	2	2	0	0	0	0	0	15	14	1	2	2	0	0	0	0	0	0	10	3	7	2	0	2	0	0	0	0	0	5	11	-6	4	0.500	15	26	41	0	0	89	62	56	6	105	635	616	563	39	136	36	36	101	25	6	24.00%	17	4	76.47%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
2	BaronsOKC	4	3	1	0	0	0	0	0	14	13	1	2	1	1	0	0	0	0	0	6	8	-2	2	2	0	0	0	0	0	0	8	5	3	6	0.750	14	27	41	0	0	89	62	56	6	120	635	616	563	39	132	46	30	100	15	1	6.67%	15	1	93.33%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
3	BigBadStars	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	89	62	56	6	35	635	616	563	39	32	8	6	13	7	0	0.00%	3	1	66.67%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
4	Checkers	4	2	1	0	0	0	1	0	9	9	0	2	2	0	0	0	0	0	0	5	3	2	2	0	1	0	0	0	1	0	4	6	-2	6	0.750	9	13	22	0	0	89	62	56	6	64	635	616	563	39	72	25	32	97	13	3	23.08%	14	2	85.71%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
5	Darkness	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	89	62	56	6	20	635	616	563	39	35	8	8	18	4	1	25.00%	4	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
6	Draveurs	4	1	2	0	0	0	1	0	11	10	1	2	1	1	0	0	0	0	0	7	6	1	2	0	1	0	0	0	1	0	4	4	0	4	0.500	11	18	29	0	0	89	62	56	6	91	635	616	563	39	122	28	38	94	26	2	7.69%	12	3	75.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
7	Eagles	4	4	0	0	0	0	0	0	12	7	5	2	2	0	0	0	0	0	0	4	2	2	2	2	0	0	0	0	0	0	8	5	3	8	1.000	12	19	31	0	0	89	62	56	6	98	635	616	563	39	97	23	35	97	14	3	21.43%	10	2	80.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
8	EvilSharks	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	89	62	56	6	19	635	616	563	39	30	12	4	19	8	3	37.50%	2	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
9	Griffins	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	5	8	0	1	89	62	56	6	22	635	616	563	39	9	2	0	20	6	0	0.00%	0	0	0.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
10	HC	4	1	3	0	0	0	0	0	15	16	-1	2	1	1	0	0	0	0	0	7	6	1	2	0	2	0	0	0	0	0	8	10	-2	2	0.250	15	26	41	0	0	89	62	56	6	98	635	616	563	39	140	27	63	108	17	4	23.53%	23	6	73.91%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
11	IceBears	3	3	0	0	0	0	0	0	12	4	8	1	1	0	0	0	0	0	0	4	2	2	2	2	0	0	0	0	0	0	8	2	6	6	1.000	12	21	33	0	0	89	62	56	6	103	635	616	563	39	55	17	18	54	18	2	11.11%	9	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
12	IceHawks	2	1	1	0	0	0	0	0	3	3	0	1	0	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	3	0	3	2	0.500	3	6	9	0	1	89	62	56	6	49	635	616	563	39	22	10	16	26	8	2	25.00%	8	1	87.50%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
13	IceHogs	2	0	1	0	0	1	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	1	0	0	3	7	-4	1	0.250	3	6	9	0	0	89	62	56	6	44	635	616	563	39	66	15	12	55	7	0	0.00%	6	1	83.33%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
14	Iceberg	4	1	3	0	0	0	0	0	10	14	-4	2	0	2	0	0	0	0	0	3	8	-5	2	1	1	0	0	0	0	0	7	6	1	2	0.250	10	17	27	0	0	89	62	56	6	83	635	616	563	39	133	28	28	103	18	3	16.67%	12	3	75.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
15	Magics	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	6	9	0	1	89	62	56	6	17	635	616	563	39	14	1	4	17	3	0	0.00%	2	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
16	Mighty Ducks	4	2	2	0	0	0	0	0	17	15	2	2	0	2	0	0	0	0	0	9	12	-3	2	2	0	0	0	0	0	0	8	3	5	4	0.500	17	33	50	0	1	89	62	56	6	126	635	616	563	39	123	33	43	68	28	6	21.43%	13	3	76.92%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
17	National	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	89	62	56	6	16	635	616	563	39	16	4	4	24	8	2	25.00%	1	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
18	Nordiques	4	1	2	0	0	0	0	1	5	8	-3	2	0	1	0	0	0	0	1	2	4	-2	2	1	1	0	0	0	0	0	3	4	-1	3	0.375	5	9	14	0	0	89	62	56	6	84	635	616	563	39	82	31	45	81	17	2	11.76%	20	3	85.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
19	Oceanic	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	89	62	56	6	24	635	616	563	39	35	9	10	21	1	0	0.00%	5	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
20	Pantheres	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	1	2	0	0	89	62	56	6	20	635	616	563	39	40	10	8	22	5	0	0.00%	4	1	75.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
21	Remparts	4	1	3	0	0	0	0	0	10	15	-5	2	1	1	0	0	0	0	0	7	6	1	2	0	2	0	0	0	0	0	3	9	-6	2	0.250	10	18	28	0	0	89	62	56	6	96	635	616	563	39	144	38	26	105	17	4	23.53%	13	3	76.92%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
22	Roadrunners	5	1	4	0	0	0	0	0	13	22	-9	3	1	2	0	0	0	0	0	9	11	-2	2	0	2	0	0	0	0	0	4	11	-7	2	0.200	13	22	35	0	0	89	62	56	6	127	635	616	563	39	200	51	40	116	17	3	17.65%	20	5	75.00%	1	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
23	Sagueneens	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	89	62	56	6	24	635	616	563	39	24	8	6	24	6	0	0.00%	3	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
24	Senators	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	89	62	56	6	13	635	616	563	39	23	7	16	20	4	2	50.00%	8	2	75.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
25	SilverKnights	4	1	2	0	0	1	0	0	12	14	-2	2	1	0	0	0	1	0	0	8	6	2	2	0	2	0	0	0	0	0	4	8	-4	3	0.375	12	22	34	0	0	89	62	56	6	72	635	616	563	39	101	33	52	83	15	3	20.00%	23	2	91.30%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
26	Spiders	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	1	89	62	56	6	26	635	616	563	39	21	4	4	21	4	1	25.00%	2	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
27	Thunder	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	89	62	56	6	25	635	616	563	39	25	5	2	21	3	0	0.00%	1	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
28	Vikings	4	3	1	0	0	0	0	0	10	9	1	2	2	0	0	0	0	0	0	5	2	3	2	1	1	0	0	0	0	0	5	7	-2	6	0.750	10	20	30	0	0	89	62	56	6	88	635	616	563	39	78	27	29	83	18	2	11.11%	11	2	81.82%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
29	WolfPack	4	0	3	0	0	1	0	0	7	13	-6	2	0	2	0	0	0	0	0	2	5	-3	2	0	1	0	0	1	0	0	5	8	-3	1	0.125	7	12	19	1	0	89	62	56	6	102	635	616	563	39	91	28	54	70	10	3	30.00%	16	3	81.25%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
30	Wolves	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	89	62	56	6	19	635	616	563	39	33	2	8	16	4	0	0.00%	4	0	100.00%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
	Total	77	31	37	0	1	3	2	3	210	228	-18	38	17	16	0	1	1	0	3	105	106	-1	39	14	21	0	0	2	2	0	105	122	-17	74	0.481	210	372	582	1	5	89	62	56	6	1830	635	616	563	39	2131	576	677	1697	346	58	16.76%	281	48	82.92%	1	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
	_Since Last GM Reset	77	31	37	0	1	3	2	3	210	228	-18	38	17	16	0	1	1	0	3	105	106	-1	39	14	21	0	0	2	2	0	105	122	-17	74	0.481	210	372	582	1	5	89	62	56	6	1830	635	616	563	39	2131	576	677	1697	346	58	16.76%	281	48	82.92%	1	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
	_Vs Conference	60	26	29	0	0	2	2	1	172	183	-11	30	15	13	0	0	1	0	1	88	84	4	30	11	16	0	0	1	2	0	84	99	-15	59	0.492	172	303	475	1	1	89	62	56	6	1457	635	616	563	39	1706	471	569	1360	268	47	17.54%	228	42	81.58%	1	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
	_Vs Division	13	15	10	0	0	1	1	0	37	37	0	4	8	5	0	0	0	0	0	14	8	6	9	7	5	0	0	1	1	0	23	29	-6	33	1.269	37	65	102	0	1	89	62	56	6	356	635	616	563	39	351	96	96	271	70	10	14.29%	47	8	82.98%	0	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
77	74	L1	210	372	582	1830	2131	576	677	1697	1	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
77	31	37	1	3	2	3	210	228

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	17	16	1	1	0	3	105	106

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	14	21	0	2	2	0	105	122

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
346	58	16.76%	281	48	82.92%	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
635	616	563	39	89	62	56	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1975	1390	1724	525	953	499

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
2	15	Cyclones	4	Iceberg	2	AW			BoxScore
3	23	HC	3	Cyclones	2	BL			BoxScore
5	40	Bandits	2	Cyclones	4	BW			BoxScore
8	59	Cyclones	2	Remparts	4	AL			BoxScore
10	71	Draveurs	2	Cyclones	4	BW			BoxScore
12	86	Cyclones	3	Nordiques	1	AW			BoxScore
14	102	Roadrunners	4	Cyclones	1	BL			BoxScore
16	112	Cyclones	3	IceBears	1	AW			BoxScore
18	134	SilverKnights	5	Cyclones	4	BL	X		BoxScore
20	144	Cyclones	1	IceHogs	4	AL			BoxScore
21	160	Mighty Ducks	6	Cyclones	4	BL			BoxScore
23	174	Cyclones	2	Mighty Ducks	0	AW			BoxScore
26	192	Cyclones	3	Eagles	2	AW			BoxScore
27	204	Vikings	1	Cyclones	2	BW			BoxScore
30	223	Cyclones	3	Roadrunners	7	AL			BoxScore
33	237	Nordiques	2	Cyclones	1	BL			BoxScore
35	255	Cyclones	1	Remparts	5	AL			BoxScore
37	266	Wolves	3	Cyclones	0	BL			BoxScore
39	281	Cyclones	5	Eagles	3	AW			BoxScore
41	295	BaronsOKC	3	Cyclones	4	BW			BoxScore
45	319	EvilSharks	3	Cyclones	4	BW			BoxScore
47	335	Cyclones	6	BaronsOKC	4	AW			BoxScore
49	347	Cyclones	2	WolfPack	4	AL			BoxScore
51	360	IceHawks	3	Cyclones	0	BL			BoxScore
53	380	Cyclones	6	Mighty Ducks	3	AW			BoxScore
55	391	Cyclones	3	Vikings	2	AW			BoxScore
56	398	Eagles	1	Cyclones	2	BW			BoxScore
59	422	Cyclones	0	Nordiques	3	AL			BoxScore
61	431	Bandits	1	Cyclones	6	BW			BoxScore
63	448	Roadrunners	3	Cyclones	5	BW			BoxScore
65	460	Cyclones	1	Roadrunners	4	AL			BoxScore
67	480	Cyclones	4	HC	5	AL			BoxScore
69	492	Spiders	0	Cyclones	3	BW			BoxScore
70	505	Cyclones	5	IceBears	1	AW			BoxScore
73	522	Nordiques	2	Cyclones	1	BL	X	X	BoxScore
75	540	Cyclones	2	Oceanic	3	AL			BoxScore
76	551	Cyclones	0	Draveurs	1	AL			BoxScore
78	559	Vikings	1	Cyclones	3	BW			BoxScore
80	581	Eagles	1	Cyclones	2	BW			BoxScore
83	599	Cyclones	3	Magics	0	AW			BoxScore
85	611	Cyclones	4	Draveurs	3	AW	X	X	BoxScore
86	617	Mighty Ducks	6	Cyclones	5	BL			BoxScore
89	636	Cyclones	3	Griffins	0	AW			BoxScore
90	649	HC	3	Cyclones	5	BW			BoxScore
94	674	Cyclones	3	National	4	AL			BoxScore
95	680	Senators	5	Cyclones	3	BL			BoxScore
98	701	Cyclones	1	Bandits	5	AL			BoxScore
99	710	Darkness	4	Cyclones	3	BL	X	X	BoxScore
102	733	Thunder	2	Cyclones	3	BW	X		BoxScore
104	746	Cyclones	0	Checkers	3	AL			BoxScore
106	759	Cyclones	2	BaronsOKC	1	AW			BoxScore
108	772	Checkers	2	Cyclones	3	BW			BoxScore
110	788	Cyclones	3	Iceberg	4	AL			BoxScore
111	802	Checkers	1	Cyclones	2	BW			BoxScore
113	814	Cyclones	3	WolfPack	4	AL	X		BoxScore
116	830	Cyclones	4	Bandits	6	AL			BoxScore
117	835	Iceberg	2	Cyclones	1	BL			BoxScore
119	855	Cyclones	2	Vikings	5	AL			BoxScore
121	867	Sagueneens	2	Cyclones	1	BL	X	X	BoxScore
125	892	Draveurs	4	Cyclones	3	BL			BoxScore
127	904	Cyclones	4	HC	5	AL			BoxScore
129	921	WolfPack	2	Cyclones	1	BL			BoxScore
130	934	Cyclones	2	IceHogs	3	AL	X		BoxScore
132	950	Cyclones	3	SilverKnights	6	AL			BoxScore
133	958	WolfPack	3	Cyclones	1	BL			BoxScore
136	978	Cyclones	1	SilverKnights	2	AL			BoxScore
137	989	Cyclones	1	Pantheres	5	AL			BoxScore
139	1001	SilverKnights	1	Cyclones	4	BW			BoxScore
141	1017	IceBears	2	Cyclones	4	BW			BoxScore
142	1024	Cyclones	3	BigBadStars	4	AL			BoxScore
146	1051	Iceberg	6	Cyclones	2	BL			BoxScore
150	1080	Cyclones	3	IceHawks	0	AW			BoxScore
151	1085	Roadrunners	4	Cyclones	3	BL			BoxScore
156	1115	Remparts	1	Cyclones	3	BW			BoxScore
160	1142	Remparts	5	Cyclones	4	BL			BoxScore
162	1153	Cyclones	4	Checkers	3	AW	X	X	BoxScore
166	1177	BaronsOKC	5	Cyclones	2	BL			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
174	1209	IceBears	-	Cyclones	-

Cyclones 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	Andy Rogers	1438	296	485	781	299	1672	1802	1877	2440	12.13%	838	23519	16.36	70	118	188	272	8	10	18	76	45	23	47.91%	9	0.66	13	43
2	Jack Skille	510	179	202	381	87	734	1147	862	1469	12.19%	137	10510	20.61	42	72	114	243	10	3	13	43	25	13	39.43%	12	0.72	9	49
3	Lance Bouma	497	117	158	275	35	565	1313	919	979	11.95%	149	9088	18.29	23	63	86	178	3	6	9	29	21	13	47.48%	1	0.61	8	38
4	Denis Malgin	403	107	155	262	30	42	171	1024	738	14.50%	55	8026	19.92	23	58	81	176	0	4	4	22	18	5	50.18%	1	0.65	8	23
5	Mark Fraser	714	42	172	214	141	1793	2543	644	592	7.09%	641	14442	20.23	20	42	62	208	2	7	9	11	9	5	0.00%	0	0.30	0	0

Cyclones 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	Alex Stalock	262	151	87	24	0.906	2.16	15872	12	32	572	6056	0	8	2	0.779	113
2	Erik Ersberg	245	150	70	23	0.905	2.85	14741	27	4	699	7364	3078	27	5	0.768	95
3	Drew MacIntyre	164	101	48	14	0.897	2.31	9815	4	15	377	3672	0	3	1	0.800	75
4	Martin Biron	163	92	59	12	0.914	1.57	9906	2	28	259	3017	0	12	1	0.777	94
5	Craig Anderson	152	74	60	12	0.898	2.44	8896	4	8	361	3551	0	3	2	0.732	41

Cyclones 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
2017	82	46	22	0	1	1	8	4	312	231	81	41	21	13	0	1	0	4	2	146	114	32	41	25	9	0	0	1	4	2	166	117	49	95	312	507	819	1	4	0	61	127	115	2533	0	711	875	909	2498	851	1700	1850	267	72	26.97%	309	60	80.58%	8	910	1765	51.56%	956	2028	47.14%	700	1416	49.44%	1605	797	1870	905	1690	822
2018	82	44	20	0	5	6	0	7	292	234	58	41	24	8	0	4	3	0	2	162	117	45	41	20	12	0	1	3	0	5	130	117	13	104	292	474	766	1	2	0	62	119	106	2563	0	745	961	831	2530	866	1700	1996	213	56	26.29%	244	54	77.87%	10	890	1782	49.94%	1038	1987	52.24%	709	1370	51.75%	1622	820	1665	825	1683	823
2019	81	39	29	0	0	3	7	3	302	249	53	40	21	14	0	0	1	4	0	153	111	42	41	18	15	0	0	2	3	3	149	138	11	81	302	481	783	1	1	0	64	115	116	2816	0	767	976	1051	2408	841	1633	1983	244	69	28.28%	244	61	75.00%	10	1101	2107	52.25%	906	1994	45.44%	660	1281	51.52%	1654	871	1635	806	1626	787
2020	82	47	21	0	3	1	7	3	326	240	86	41	22	13	0	1	1	2	2	135	112	23	41	25	8	0	2	0	5	1	191	128	63	101	326	510	836	3	1	0	59	145	112	2881	0	830	1068	963	2483	795	2290	2190	268	67	25.00%	288	64	77.78%	9	1029	2076	49.57%	1007	2076	48.51%	620	1336	46.41%	1746	958	1663	806	1568	757
2021	82	37	28	0	3	0	6	8	165	142	23	41	20	15	0	0	0	3	3	76	62	14	41	17	13	0	3	0	3	5	89	80	9	80	165	285	450	1	10	0	62	52	42	1704	0	599	528	544	1590	465	1287	2102	390	65	16.67%	513	55	89.28%	2	1346	2491	54.03%	1215	2434	49.92%	555	1077	51.53%	1969	1315	1962	634	1064	537
2022	81	36	31	0	2	0	8	4	162	130	32	41	23	12	0	2	0	4	0	99	61	38	40	13	19	0	0	0	4	4	63	69	-6	76	162	272	434	0	18	0	58	49	45	1722	0	636	513	555	1428	401	1050	1832	382	55	14.40%	468	45	90.38%	0	1453	2471	58.80%	1328	2292	57.94%	634	1085	58.43%	2070	1417	1809	608	1047	543
2023	81	42	27	0	2	2	7	1	197	171	26	41	22	13	0	0	1	4	1	93	83	10	40	20	14	0	2	1	3	0	104	88	16	90	197	335	532	0	8	0	67	63	58	1834	0	559	608	652	1823	554	1045	1805	413	58	14.04%	437	67	84.67%	3	1438	2503	57.45%	1299	2351	55.25%	683	1139	59.96%	2140	1504	1761	571	1005	527
2024	82	41	27	0	4	1	4	5	188	156	32	41	22	14	0	3	0	0	2	93	76	17	41	19	13	0	1	1	4	3	95	80	15	104	188	337	525	0	14	0	62	63	55	1753	0	546	591	594	1642	486	1010	1905	355	55	15.49%	427	42	90.16%	3	1318	2368	55.66%	1203	2325	51.74%	588	1143	51.44%	2125	1465	1795	591	1058	555
2025	82	40	29	0	2	4	5	2	217	195	22	41	20	16	0	2	1	2	0	109	101	8	41	20	13	0	0	3	3	2	108	94	14	100	217	384	601	1	8	0	71	75	64	1820	0	594	618	594	1871	546	951	2086	333	73	21.92%	411	51	87.59%	6	1278	2403	53.18%	1269	2411	52.63%	610	1220	50.00%	2026	1380	1884	601	1055	543
2026	82	45	20	0	0	4	9	4	245	194	51	41	25	11	0	0	1	3	1	134	100	34	41	20	9	0	0	3	6	3	111	94	17	116	245	425	670	0	7	0	96	82	58	2024	0	689	649	661	1852	542	1093	2135	351	89	25.36%	473	65	86.26%	8	1405	2532	55.49%	1341	2435	55.07%	665	1223	54.37%	2068	1414	1867	598	1054	544
2027	82	36	23	0	4	1	10	8	207	171	36	41	18	11	0	2	1	4	5	98	83	15	41	18	12	0	2	0	6	3	109	88	21	109	207	353	560	0	7	0	72	58	63	1690	0	529	570	565	1580	439	881	1935	356	44	12.36%	375	54	85.60%	4	1311	2375	55.20%	1207	2233	54.05%	627	1169	53.64%	2250	1586	1708	585	1061	567
2030	82	31	37	0	2	4	3	5	214	245	-31	41	16	18	0	1	1	1	4	102	125	-23	41	15	19	0	1	3	2	1	112	120	-8	81	214	374	588	1	1	0	69	74	66	1773	0	605	565	586	2214	663	1059	2250	316	39	12.34%	483	79	83.64%	2	1210	2246	53.87%	1471	2621	56.12%	676	1221	55.36%	1917	1300	2037	604	1021	504
2031	82	31	33	0	3	3	9	3	212	187	25	41	19	12	0	3	1	5	1	108	79	29	41	12	21	0	0	2	4	2	104	108	-4	92	212	362	574	2	6	0	80	62	58	1700	0	568	573	536	1812	540	852	1834	377	60	15.92%	358	44	87.71%	3	1240	2236	55.46%	1306	2342	55.76%	615	1147	53.62%	2057	1435	1916	599	1023	523
2032	82	45	26	0	2	1	2	6	224	178	46	41	27	9	0	1	0	1	3	123	81	42	41	18	17	0	1	1	1	3	101	97	4	105	224	401	625	0	11	0	79	62	79	1783	0	601	528	634	1837	524	786	1848	334	64	19.16%	335	50	85.07%	5	1130	2360	47.88%	1136	2399	47.35%	566	1249	45.32%	2046	1409	1860	601	1062	550
2033	82	38	29	0	3	1	7	4	231	188	43	41	23	12	0	2	0	4	0	120	84	36	41	15	17	0	1	1	3	4	111	104	7	101	231	398	629	0	10	0	94	77	50	1862	0	613	596	633	1879	504	789	1815	332	58	17.47%	338	49	85.50%	3	1336	2326	57.44%	1295	2303	56.23%	691	1193	57.92%	2092	1450	1852	585	1040	544
2034	82	36	30	0	4	2	4	6	235	204	31	41	25	8	0	1	1	2	4	131	84	47	41	11	22	0	3	1	2	2	104	120	-16	96	235	429	664	1	5	0	90	80	57	1873	0	643	563	640	1947	530	793	1897	384	64	16.67%	368	55	85.05%	2	1404	2439	57.56%	1286	2374	54.17%	686	1220	56.23%	2177	1533	1771	574	1032	545
2035	82	34	41	0	1	3	1	2	202	219	-17	41	17	18	0	1	2	1	2	107	108	-1	41	17	23	0	0	1	0	0	95	111	-16	77	202	355	557	0	8	0	75	66	59	1718	0	577	547	583	2173	579	870	2043	381	63	16.54%	348	57	83.62%	1	1195	2202	54.27%	1398	2520	55.48%	644	1210	53.22%	2094	1475	1830	579	1018	522
2036	80	32	35	0	2	5	5	1	219	214	5	40	12	21	0	1	3	2	1	102	109	-7	40	20	14	0	1	2	3	0	117	105	12	84	219	379	598	1	4	0	79	70	63	1801	0	598	603	583	2008	586	907	1781	321	58	18.07%	335	50	85.07%	3	1311	2274	57.65%	1326	2272	58.36%	652	1165	55.97%	2096	1471	1749	550	1003	532
2037	82	41	20	0	2	9	5	5	247	200	47	41	25	7	0	1	5	0	3	128	94	34	41	16	13	0	1	4	5	2	119	106	13	110	247	437	684	0	10	82	81	77	11	1856	586	590	645	70	2102	564	784	1902	399	78	19.55%	318	45	85.85%	4	1188	2238	53.08%	1326	2535	52.31%	592	1183	50.04%	2078	1448	1875	582	1033	541
2038	77	31	37	0	1	3	2	3	210	228	-18	38	17	16	0	1	1	0	3	105	106	-1	39	14	21	0	0	2	2	0	105	122	-17	74	210	372	582	1	5	89	62	56	6	1830	635	616	563	39	2131	576	677	1697	346	58	16.76%	281	48	82.92%	1	1223	2265	54.00%	1270	2280	55.70%	676	1177	57.43%	1975	1390	1724	525	953	499
Total Regular Season	1630	772	565	0	46	54	109	84	4607	3976	631	815	419	261	0	27	23	46	39	2324	1890	434	815	353	304	0	19	31	63	45	2283	2086	197	1876	4607	7870	12477	14	140	171	1443	1572	1283	39536	1221	12616	13140	12223	39808	11852	22157	38886	6762	1245	18.41%	7353	1095	85.11%	87	24716	45459	54.37%	24583	46212	53.20%	12849	24224	53.04%	39815	26447	36242	12737	23105	11774
Playoff
2017	23	16	7	0	0	0	0	0	84	66	18	12	10	2	0	0	0	0	0	52	35	17	11	6	5	0	0	0	0	0	32	31	1	32	84	131	215	0	0	0	18	37	26	722	0	168	281	243	712	243	413	521	86	25	29.07%	82	14	82.93%	3	239	496	48.19%	252	536	47.01%	202	410	49.27%	450	220	2347	1143	486	240
2018	19	10	9	0	0	0	0	0	66	55	11	10	4	6	0	0	0	0	0	36	32	4	9	6	3	0	0	0	0	0	30	23	7	20	66	106	172	0	0	0	15	31	18	549	0	151	216	158	530	194	349	484	48	7	14.58%	69	10	85.51%	0	171	396	43.18%	172	416	41.35%	132	317	41.64%	365	173	396	211	416	193
2019	18	10	8	0	0	0	0	0	63	54	9	10	6	4	0	0	0	0	0	33	30	3	8	4	4	0	0	0	0	0	30	24	6	20	63	102	165	0	0	0	12	24	25	709	0	203	262	236	593	186	295	483	62	13	20.97%	49	11	77.55%	1	278	504	55.16%	225	465	48.39%	150	279	53.76%	397	221	360	172	339	166
2020	4	0	4	0	0	0	0	0	13	21	-8	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	7	13	-6	0	13	17	30	0	0	0	3	4	6	152	0	50	53	49	138	55	89	107	11	2	18.18%	16	8	50.00%	0	63	107	58.88%	44	100	44.00%	33	77	42.86%	89	51	77	36	73	36
2021	18	10	8	0	0	0	0	0	39	35	4	9	5	4	0	0	0	0	0	19	18	1	9	5	4	0	0	0	0	0	20	17	3	20	39	69	108	0	1	0	16	5	14	413	0	118	145	128	378	116	256	492	93	14	15.05%	105	15	85.71%	1	315	568	55.46%	291	560	51.96%	130	249	52.21%	444	303	455	140	229	116
2022	6	2	4	0	0	0	0	0	10	11	-1	3	1	2	0	0	0	0	0	5	5	0	3	1	2	0	0	0	0	0	5	6	-1	4	10	17	27	0	1	0	4	3	2	109	0	23	40	43	98	33	68	125	21	1	4.76%	31	1	96.77%	0	83	168	49.40%	74	158	46.84%	32	78	41.03%	149	98	140	48	81	40
2023	10	4	6	0	0	0	0	0	22	30	-8	5	3	2	0	0	0	0	0	15	13	2	5	1	4	0	0	0	0	0	7	17	-10	8	22	39	61	0	1	0	2	6	11	219	0	56	51	86	215	78	124	255	57	11	19.30%	53	13	75.47%	0	168	324	51.85%	140	297	47.14%	88	155	56.77%	289	204	237	79	137	71
2024	14	9	5	0	0	0	0	0	30	20	10	7	6	1	0	0	0	0	0	16	8	8	7	3	4	0	0	0	0	0	14	12	2	18	30	53	83	0	3	0	11	13	5	302	0	96	86	116	366	86	217	370	64	15	23.44%	74	4	94.59%	0	215	402	53.48%	258	468	55.13%	117	190	61.58%	353	244	321	100	175	90
2025	7	3	4	0	0	0	0	0	14	15	-1	4	1	3	0	0	0	0	0	7	11	-4	3	2	1	0	0	0	0	0	7	4	3	6	14	25	39	0	0	0	3	8	3	164	0	45	59	52	162	37	95	153	50	8	16.00%	38	3	92.11%	2	110	239	46.03%	116	218	53.21%	48	102	47.06%	162	107	182	57	91	44
2026	19	12	7	0	0	0	0	0	45	37	8	9	6	3	0	0	0	0	0	23	19	4	10	6	4	0	0	0	0	0	22	18	4	24	45	76	121	0	2	0	20	16	8	439	0	161	153	123	394	129	220	459	102	14	13.73%	102	10	90.20%	2	342	613	55.79%	291	536	54.29%	151	259	58.30%	489	337	417	136	239	126
2027	11	7	4	0	0	0	0	0	24	23	1	5	4	1	0	0	0	0	0	12	10	2	6	3	3	0	0	0	0	0	12	13	-1	14	24	46	70	0	2	0	10	6	7	235	0	92	65	71	220	63	116	254	57	8	14.04%	51	7	86.27%	0	133	310	42.90%	137	346	39.60%	65	143	45.45%	254	170	285	90	147	72
2031	6	2	4	0	0	0	0	0	10	11	-1	3	1	2	0	0	0	0	0	5	6	-1	3	1	2	0	0	0	0	0	5	5	0	4	10	16	26	0	0	0	2	3	5	126	0	37	38	44	131	45	65	141	33	4	12.12%	29	4	86.21%	0	79	170	46.47%	86	174	49.43%	31	70	44.29%	149	101	156	49	81	39
2032	5	1	4	0	0	0	0	0	12	17	-5	3	0	3	0	0	0	0	0	5	10	-5	2	1	1	0	0	0	0	0	7	7	0	2	12	20	32	0	0	0	5	6	1	132	0	47	47	38	146	35	38	120	24	3	12.50%	17	2	88.24%	0	75	169	44.38%	75	138	54.35%	50	83	60.24%	134	93	104	32	62	34
2033	21	16	5	0	0	0	0	0	81	56	25	11	9	2	0	0	0	0	0	43	29	14	10	7	3	0	0	0	0	0	38	27	11	32	81	134	215	0	2	0	30	25	23	565	0	190	181	168	570	157	202	578	94	22	23.40%	78	10	87.18%	1	444	700	63.43%	409	655	62.44%	225	373	60.32%	599	423	456	147	277	150
2037	22	12	10	0	0	0	0	0	67	60	7	12	8	4	0	0	0	0	0	38	35	3	10	4	6	0	0	0	0	0	29	25	4	24	67	119	186	0	2	24	20	21	2	510	167	124	173	46	671	191	221	573	93	17	18.28%	104	15	85.58%	1	339	671	50.52%	402	768	52.34%	200	358	55.87%	606	418	544	169	308	160
Total Playoff	203	114	89	0	0	0	0	0	580	511	69	105	64	41	0	0	0	0	0	315	269	46	98	50	48	0	0	0	0	0	265	242	23	228	580	970	1550	0	14	24	171	208	156	5346	167	1561	1850	1601	5324	1648	2768	5115	895	164	18.32%	898	127	85.86%	11	3054	5837	52.32%	2972	5835	50.93%	1654	3143	52.62%	4937	3169	6484	2615	3146	1584

Cyclones 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%	HT	P/20
1	Andy Rogers	414	84	131	215	30	413	521	615	722	11.63%	243	6908	16.69	25	36	61	115	3	3	6	21	16	5	48.06%	1	0.62
2	Jack Skille	85	33	30	63	-5	140	235	173	254	12.99%	38	1852	21.79	6	14	20	44	0	0	0	5	3	0	37.45%	2	0.68
3	Denis Malgin	43	19	25	44	16	6	45	160	136	13.97%	13	1021	23.76	2	7	9	28	1	0	1	5	3	2	51.80%	1	0.86
4	John Mitchell	46	8	23	31	1	34	60	103	81	9.88%	14	858	18.67	4	6	10	16	0	0	0	2	1	2	60.75%	0	0.72
5	Taylor Fedun	40	11	19	30	9	16	51	37	89	12.36%	29	795	19.88	6	4	10	59	1	1	2	3	3	1	0.00%	0	0.75

Cyclones Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A
1	Erik Ersberg	41	20	16	5	0.897	3.08	2455	4	0	126	1228	522	5
2	Alexander Salak	24	16	6	1	0.907	2.80	1415	2	0	66	712	328	1
3	Alex Stalock	21	16	1	4	0.903	2.50	1318	6	2	55	566	0	1
4	Drew MacIntyre	26	15	10	1	0.906	1.98	1580	4	2	52	556	0	3
5	Kevin Lankinen	22	12	5	5	0.912	2.43	1433	0	2	58	662	0	1