Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Farmers

Home
Main
Pro League
Farm League
League
- Coaches
- Transactions
- Waivers
- Team/GM
- Trade History
- Prospects
- RSS Feed
- Unassigned
  - Players
  - Goalies
- Available For Trade
  - Players
  - Goalies
- Free Agents
  - Players
  - Goalies
History
Team's Link
- Pro Team
  - Conférence Canadienne
  - Conférence Américaine
- Farm Team
  - Conference 1
    - Bandits
    - CoolFm
    - Farmers
    - Goons
    - Grizzlies
    - Hunters
    - Husky
    - Igloos
    - Marlies
    - Marmots
    - Rockets
    - Smirnoff Ice
    - TigersCats
    - Warriors
    - Xpress
  - Conference 2
    - Barracudas
    - Bayou
    - Chiwawa
    - Outlaws
    - Predateurs
    - Raptors
    - Saguenéens
    - Scorpions
    - Snowbirds
    - Spartans
    - Supreme
    - Thugs
    - Twins
    - Vandals
    - Vipers
    - Wolves
Search
Legacy Pages
Help
- Latest STHS Client
- STHS Client Manual

Farmers

GP: 13 | W: 5 | L: 6 | OTL: 2 | P: 12
GF: 54 | GA: 50 | PP%: 27.50% | PK%: 81.58%
GM : Nicolas Bellerose | Morale : 90 | Team Overall : 58
Next Games #210 vs Marlies

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Regina Pats
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Dakota Joshua (R)	X				100.00	99	57	74	79	75	58	95	57	30	52	61	71	67	86	75	0	90	66	0
2	Rasmus Kupari (R)	X				100.00	73	45	90	79	70	51	80	54	85	55	54	72	66	83	70	0	90	65	0
3	Axel Jonsson-Fjallby (R)		X			99.00	65	45	91	81	62	52	60	56	30	53	60	71	67	85	72	0	90	61	0
4	Simon Holmstrom (R)			X		99.00	50	45	95	77	72	56	60	52	30	45	60	60	68	81	69	0	90	58	0
5	Givani Smith (R)		X			100.00	89	63	40	75	77	50	43	50	30	47	52	55	50	85	72	0	90	57	0
6	Egor Afanasyev (R)		X			100.00	72	45	92	74	79	54	40	47	30	40	54	55	50	82	70	0	90	55	0
7	Nicholas Abruzzese (R)			X		99.00	50	45	95	79	55	50	40	49	30	48	50	55	50	83	70	0	90	54	0
8	Jonathan Gruden (R)	X				100.00	50	45	95	79	52	50	40	45	30	40	50	70	50	82	69	0	90	54	0
9	Matthew Knies (R)		X			100.00	50	45	92	74	75	66	40	47	30	44	50	55	50	80	70	0	90	54	0
10	Victor Soderstrom (R)				X	100.00	58	45	73	85	51	67	40	57	30	65	50	66	67	82	72	0	90	62	0
11	Tyler Tucker (R)				X	100.00	90	54	62	78	65	61	40	52	30	49	55	62	66	83	72	0	90	62	0
12	Jacob Bernard-Docker (R)				X	100.00	72	48	80	77	56	67	40	47	30	44	50	71	50	82	72	0	90	61	0
13	Henry Thrun (R)				X	100.00	50	45	95	78	60	83	40	49	30	48	50	65	50	82	76	0	90	61	0
14	Drew Helleson (R)				X	100.00	50	45	92	77	62	57	40	48	30	40	56	62	50	82	70	0	90	58	0
15	Lucas Johansen (R)				X	100.00	50	45	95	79	53	53	40	45	30	40	50	62	50	85	73	0	90	57	0
16	Dennis Cholowski (R)				X	100.00	50	45	95	74	70	53	40	45	30	40	50	55	50	85	73	0	90	57	0
17	Mattias Norlinder (R)				X	100.00	50	45	95	78	53	50	40	45	30	40	50	55	50	83	70	0	90	56	0
Scratches
1	Samuel Walker (R)	X				100.00	50	45	95	79	52	53	40	49	30	44	54	56	50	83	71	0	90	54	0
2	Josiah Slavin (R)		X			100.00	50	45	95	77	67	50	40	45	30	40	50	55	50	85	72	0	90	53	0
3	Sampo Ranta (R)			X		100.00	57	45	90	76	67	50	40	45	30	40	50	55	50	82	69	0	90	53	0
4	Hugh McGing (R)		X			100.00	50	45	95	79	46	50	40	45	30	40	50	59	50	84	71	0	90	53	0
5	Arttu Ruotsalainen (R)		X			100.00	50	45	95	77	54	50	40	45	30	40	50	55	50	86	73	0	90	52	0
6	Brayden Tracey (R)		X			100.00	50	45	95	79	55	50	40	45	30	40	50	55	50	82	69	0	90	52	0

	TEAM AVERAGE					99.87	60	47	88	78	62	56	46	49	32	45	52	61	54	83	71	0	90	57

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
1	Elvis Merzlikins	99.00	70	64	80	83	70	72	70	72	70	70	70	88	81	0	90	64	0
2	Samuel Ersson (R)	100.00	73	50	71	81	76	70	73	70	76	70	70	83	72	0	90	63	0
Scratches
1	Daniil Tarasov (R)	100.00	70	52	75	88	70	70	70	70	70	70	70	83	73	0	90	63	0
2	Yaroslav Askarov (R)	100.00	70	50	68	82	70	70	70	70	70	70	70	80	67	0	90	61	0

	TEAM AVERAGE	99.75	71	54	74	84	72	71	71	71	72	70	70	84	73	0	90	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dave Tippett	65	65	65	65	96	72	48	CAN	62	4	500,000$

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	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Victor Soderstrom	Farmers (REG)	D	11	3	11	14	3	7	5	19	9	47	20	22	6.38%	14	262	23.84	2	2	4	8	29	0	0	2	25	0	0	0.00%	0	4	16	1.07	0	0	1	0	0	1	1	0
2	Rasmus Kupari	Farmers (REG)	C	11	5	7	12	3	0	0	11	11	41	12	19	12.20%	3	153	13.99	1	0	1	0	0	0	0	1	8	2	1	66.87%	163	10	9	1.56	1	2	0	0	0	2	1	1
3	Axel Jonsson-Fjallby	Farmers (REG)	LW	11	5	6	11	-4	8	0	17	14	28	15	26	17.86%	5	187	17.06	1	3	4	3	17	0	0	0	1	0	0	33.33%	12	8	8	1.17	1	2	0	0	0	0	0	0
4	Simon Holmstrom	Farmers (REG)	RW	11	5	5	10	2	0	0	11	9	35	17	29	14.29%	6	219	19.96	1	1	2	5	27	1	1	1	2	0	2	18.75%	16	13	8	0.91	0	0	0	0	0	1	0	1
5	Givani Smith	Farmers (REG)	LW	13	5	4	9	1	36	10	23	8	31	7	13	16.13%	2	172	13.25	0	0	0	0	2	0	0	0	2	0	1	45.45%	11	5	3	1.04	0	0	0	1	1	0	1	1
6	Egor Afanasyev	Farmers (REG)	LW	13	4	4	8	2	2	0	12	11	17	10	16	23.53%	8	207	15.92	0	0	0	0	0	0	0	0	1	0	0	52.94%	17	9	3	0.77	0	0	0	0	0	0	1	0
7	Alex Newhook	Regina Pats	C	7	3	3	6	-2	0	0	11	6	29	12	16	10.34%	4	126	18.05	2	0	2	6	10	0	0	0	9	1	0	67.71%	96	5	2	0.95	0	2	0	0	0	0	1	1
8	Jacob Bernard-Docker	Farmers (REG)	D	11	0	6	6	2	2	0	16	11	17	9	8	0.00%	6	204	18.55	0	0	0	1	17	0	0	0	20	0	0	0.00%	0	2	11	0.59	0	0	0	0	0	0	0	0
9	Henry Thrun	Farmers (REG)	D	11	1	4	5	2	0	0	5	10	14	7	4	7.14%	16	206	18.78	0	0	0	2	17	0	0	0	21	0	0	0.00%	0	7	5	0.48	0	0	0	0	0	0	0	0
10	Dakota Joshua	Farmers (REG)	C	6	3	1	4	-1	27	5	16	12	28	6	18	10.71%	1	131	21.99	1	0	1	5	17	0	0	1	11	0	0	46.22%	119	12	4	0.61	1	1	1	0	0	0	0	0
11	Nicholas Abruzzese	Farmers (REG)	RW	13	2	2	4	-6	0	0	9	8	22	6	19	9.09%	13	198	15.23	1	0	1	2	19	0	0	0	0	0	0	44.44%	9	3	4	0.40	0	0	0	0	0	0	0	0
12	Tyler Tucker	Farmers (REG)	D	11	0	4	4	1	12	0	26	8	14	4	7	0.00%	8	232	21.09	0	1	1	2	27	0	0	0	17	0	0	0.00%	0	2	5	0.34	0	0	0	0	0	0	0	1
13	Teddy Blueger	Regina Pats	LW	3	1	2	3	1	4	0	8	3	13	3	9	7.69%	4	68	22.98	0	0	0	2	6	0	0	1	5	0	0	73.91%	23	0	1	0.87	0	0	0	0	0	0	0	0
14	Lucas Johansen	Farmers (REG)	D	8	1	1	2	-5	2	0	4	9	3	1	2	33.33%	6	111	13.98	0	0	0	0	0	0	0	1	5	0	0	0.00%	0	1	3	0.36	0	0	0	0	0	0	0	0
15	Dennis Cholowski	Farmers (REG)	D	13	0	1	1	1	0	0	2	5	3	3	0	0.00%	3	156	12.03	0	0	0	0	1	0	0	0	7	0	0	100.00%	1	2	6	0.13	0	0	0	0	0	0	0	0
16	Mattias Norlinder	Farmers (REG)	D	13	0	0	0	1	0	0	2	4	3	0	0	0.00%	2	101	7.79	0	0	0	0	2	0	0	0	1	0	0	0.00%	0	1	0	0.00	0	0	0	0	0	0	0	0
17	Drew Helleson	Farmers (REG)	D	10	0	0	0	-4	0	0	11	8	6	3	3	0.00%	3	142	14.25	0	0	0	0	5	0	0	0	1	0	0	0.00%	0	1	2	0.00	0	0	0	0	0	0	0	0
18	Jonathan Gruden	Farmers (REG)	C	5	0	0	0	3	0	0	4	5	4	1	4	0.00%	2	48	9.70	0	0	0	0	3	0	0	0	0	0	0	38.46%	13	0	2	0.00	0	0	0	0	0	0	0	0
Team Total or Average				181	38	61	99	0	100	20	207	151	355	136	215	10.70%	106	2931	16.19	9	7	16	36	205	1	1	7	144	3	4	57.71%	480	85	92	0.68	3	7	2	1	1	4	5	5

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	GA	SA	SAR	A	PS %	PSA	ST	BG
1	Elvis Merzlikins	Farmers (REG)	13	5	6	2	0.864	3.71	777	48	353	190	2	0.556	9	13	0
2	Samuel Ersson	Farmers (REG)	1	0	0	0	1.000	0.00	17	0	6	3	0	0.000	0	0	13
Team Total or Average			14	5	6	2	0.866	3.63	794	48	359	193	2	0.556	9	13	13

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	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap
Arttu Ruotsalainen	Farmers (REG)	LW	25	1997-10-29	Yes	187 Lbs	5 ft9	No	No	No	3	RFA	Pro & Farm	800,000$	0$	0$	No
Axel Jonsson-Fjallby	Farmers (REG)	LW	25	1998-02-10	Yes	189 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	1,000,000$	0$	0$	No
Brayden Tracey	Farmers (REG)	LW	22	2001-05-28	Yes	177 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	700,000$	0$	0$	No
Dakota Joshua	Farmers (REG)	C	27	1996-05-15	Yes	206 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No
Daniil Tarasov	Farmers (REG)	G	24	1999-03-27	Yes	196 Lbs	6 ft5	No	No	No	3	RFA	Pro & Farm	700,000$	0$	0$	No
Dennis Cholowski	Farmers (REG)	D	25	1998-02-15	Yes	210 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	750,000$	0$	0$	No
Drew Helleson	Farmers (REG)	D	22	2001-03-26	Yes	190 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Egor Afanasyev	Farmers (REG)	LW	22	2001-01-23	Yes	211 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Elvis Merzlikins	Farmers (REG)	G	29	1994-04-13	No	183 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	3,500,000$	0$	0$	No
Givani Smith	Farmers (REG)	LW	25	1998-02-27	Yes	214 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	700,000$	0$	0$	No
Henry Thrun	Farmers (REG)	D	22	2001-03-12	Yes	190 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	850,000$	0$	0$	No
Hugh McGing	Farmers (REG)	LW	25	1998-07-11	Yes	176 Lbs	5 ft8	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Jacob Bernard-Docker	Farmers (REG)	D	23	2000-06-30	Yes	190 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	700,000$	0$	0$	No
Jonathan Gruden	Farmers (REG)	C	23	2000-05-04	Yes	172 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Josiah Slavin	Farmers (REG)	LW	24	1998-12-31	Yes	189 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	700,000$	0$	0$	No
Lucas Johansen	Farmers (REG)	D	25	1997-11-16	Yes	176 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	700,000$	0$	0$	No
Matthew Knies	Farmers (REG)	LW	20	2002-10-17	Yes	210 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	900,000$	0$	0$	No
Mattias Norlinder	Farmers (REG)	D	23	2000-04-12	Yes	185 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	700,000$	0$	0$	No
Nicholas Abruzzese	Farmers (REG)	RW	24	1999-06-04	Yes	183 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	1,000,000$	0$	0$	No
Rasmus Kupari	Farmers (REG)	C	23	2000-03-15	Yes	200 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	700,000$	0$	0$	No
Sampo Ranta	Farmers (REG)	RW	23	2000-05-31	Yes	195 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No
Samuel Ersson	Farmers (REG)	G	23	1999-10-20	Yes	176 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Samuel Walker	Farmers (REG)	C	24	1999-06-07	Yes	180 Lbs	5 ft10	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Simon Holmstrom	Farmers (REG)	RW	22	2001-05-24	Yes	205 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	900,000$	0$	0$	No
Tyler Tucker	Farmers (REG)	D	23	2000-03-01	Yes	204 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Victor Soderstrom	Farmers (REG)	D	22	2001-02-26	Yes	184 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	800,000$	0$	0$	No
Yaroslav Askarov	Farmers (REG)	G	21	2002-06-16	Yes	178 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	1,100,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	23.56	191 Lbs	6 ft1	2.96	906,481$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Simon Holmstrom	35	1	2	2
2	Axel Jonsson-Fjallby		Nicholas Abruzzese	30	1	2	2
3	Givani Smith	Rasmus Kupari	Egor Afanasyev	25	1	2	2
4	Egor Afanasyev			10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Soderstrom	Tyler Tucker	35	1	2	2
2	Henry Thrun	Jacob Bernard-Docker	30	1	2	2
3	Drew Helleson	Lucas Johansen	25	1	2	2
4	Dennis Cholowski	Mattias Norlinder	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Simon Holmstrom	55	1	2	2
2	Axel Jonsson-Fjallby		Nicholas Abruzzese	45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Soderstrom	Tyler Tucker	55	1	2	2
2	Henry Thrun	Jacob Bernard-Docker	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2		Rasmus Kupari	45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Soderstrom	Tyler Tucker	55	1	2	2
2	Henry Thrun	Jacob Bernard-Docker	45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		55	1	2	2	Victor Soderstrom	Tyler Tucker	55	1	2	2
2		45	1	2	2	Henry Thrun	Jacob Bernard-Docker	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2		Rasmus Kupari	45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Soderstrom	Tyler Tucker	55	1	2	2
2	Henry Thrun	Jacob Bernard-Docker	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Simon Holmstrom	Victor Soderstrom	Tyler Tucker

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Simon Holmstrom	Victor Soderstrom	Tyler Tucker

Extra Forwards
Normal	PowerPlay	Penalty Kill
Givani Smith, Axel Jonsson-Fjallby, Simon Holmstrom	Givani Smith, Axel Jonsson-Fjallby	Simon Holmstrom

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Drew Helleson, Lucas Johansen, Dennis Cholowski	Drew Helleson	Lucas Johansen, Dennis Cholowski

Penalty Shots
, , , Rasmus Kupari, Axel Jonsson-Fjallby

Goalie
#1 : Elvis Merzlikins, #2 : Samuel Ersson

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	Grizzlies	2	0	1	0	1	0	0	0	4	5	-1	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	5	9	0	0	8	16	28	4	57	108	144	167	12	46	17	6	40	3	2	66.67%	3	1	66.67%	0	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
2	Marlies	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	1	5	2	1.000	6	10	16	0	0	8	16	28	4	35	108	144	167	12	26	11	11	24	2	0	0.00%	3	0	100.00%	0	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
3	Marmots	2	0	0	0	0	0	0	2	6	8	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	4	5	-1	2	0.500	6	10	16	0	0	8	16	28	4	73	108	144	167	12	62	24	16	47	7	2	28.57%	8	1	87.50%	0	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
4	Rockets	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	5	7	12	0	0	8	16	28	4	67	108	144	167	12	72	18	8	47	10	2	20.00%	4	0	100.00%	0	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
5	Scorpions	1	1	0	0	0	0	0	0	9	3	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	9	3	6	2	1.000	9	16	25	0	0	8	16	28	4	45	108	144	167	12	25	8	21	26	2	1	50.00%	3	1	66.67%	0	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
6	Smirnoff Ice	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	8	16	28	4	21	108	144	167	12	27	12	8	5	2	1	50.00%	4	2	50.00%	0	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
7	TigersCats	1	0	0	0	0	0	1	0	8	7	1	1	0	0	0	0	0	1	0	8	7	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	10	18	0	0	8	16	28	4	32	108	144	167	12	40	17	35	28	2	0	0.00%	5	1	80.00%	1	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
	Total	13	3	6	0	1	0	1	2	54	50	4	6	1	2	0	1	0	1	1	28	25	3	7	2	4	0	0	0	0	1	26	25	1	12	0.462	54	90	144	0	0	8	16	28	4	422	108	144	167	12	359	136	131	274	40	11	27.50%	38	7	81.58%	1	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
9	Twins	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	8	4	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	16	24	0	0	8	16	28	4	43	108	144	167	12	14	7	14	24	7	3	42.86%	2	1	50.00%	0	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
10	Warriors	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	10	15	0	0	8	16	28	4	49	108	144	167	12	47	22	12	33	5	0	0.00%	6	0	100.00%	0	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
	_Since Last GM Reset	13	3	6	0	1	0	1	2	54	50	4	6	1	2	0	1	0	1	1	28	25	3	7	2	4	0	0	0	0	1	26	25	1	12	0.462	54	90	144	0	0	8	16	28	4	422	108	144	167	12	359	136	131	274	40	11	27.50%	38	7	81.58%	1	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
	_Vs Conference	11	1	6	0	1	0	1	2	37	43	-6	5	0	2	0	1	0	1	1	20	21	-1	6	1	4	0	0	0	0	1	17	22	-5	8	0.364	37	58	95	0	0	8	16	28	4	334	108	144	167	12	320	121	96	224	31	7	22.58%	33	5	84.85%	1	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
	_Vs Division	11	1	6	0	1	0	1	2	37	43	-6	5	0	2	0	1	0	1	1	20	21	-1	6	1	4	0	0	0	0	1	17	22	-5	8	0.364	37	58	95	0	0	8	16	28	4	334	108	144	167	12	320	121	96	224	31	7	22.58%	33	5	84.85%	1	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
13	12	W2	54	90	144	422	359	136	131	274	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	3	6	1	0	1	2	54	50

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	1	2	1	0	1	1	28	25

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	4	0	0	0	1	26	25

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	3	1	0	1	2

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
40	11	27.50%	38	7	81.58%	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
108	144	167	12	8	16	28	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
159	269	59.11%	110	231	47.62%	135	219	61.64%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
301	187	264	111	229	114

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 - 2024-04-07	14	Warriors	4	Farmers	3	L			BoxScore
3 - 2024-04-08	31	Farmers	3	Smirnoff Ice	5	L			BoxScore
5 - 2024-04-10	46	Farmers	2	Warriors	4	L			BoxScore
6 - 2024-04-11	57	Farmers	9	Scorpions	3	W			BoxScore
7 - 2024-04-12	62	Grizzlies	2	Farmers	3	W	X		BoxScore
9 - 2024-04-14	85	Marmots	3	Farmers	2	L	X	X	BoxScore
10 - 2024-04-15	100	Farmers	1	Rockets	4	L			BoxScore
12 - 2024-04-17	117	Rockets	5	Farmers	4	L			BoxScore
13 - 2024-04-18	138	TigersCats	7	Farmers	8	W	X	X	BoxScore
14 - 2024-04-19	146	Farmers	1	Grizzlies	3	L			BoxScore
16 - 2024-04-21	164	Farmers	4	Marmots	5	L	X	X	BoxScore
17 - 2024-04-22	178	Twins	4	Farmers	8	W			BoxScore
19 - 2024-04-24	194	Farmers	6	Marlies	1	W			BoxScore
20 - 2024-04-25	210	Marlies	-	Farmers	-
22 - 2024-04-27	230	Raptors	-	Farmers	-
23 - 2024-04-28	244	Farmers	-	Supreme	-
24 - 2024-04-29	258	Farmers	-	Outlaws	-
26 - 2024-05-01	272	Outlaws	-	Farmers	-
27 - 2024-05-02	288	Predateurs	-	Farmers	-
29 - 2024-05-04	306	Farmers	-	Husky	-
30 - 2024-05-05	319	Warriors	-	Farmers	-
32 - 2024-05-07	339	Farmers	-	Hunters	-
33 - 2024-05-08	349	Farmers	-	Snowbirds	-
34 - 2024-05-09	364	Spartans	-	Farmers	-
36 - 2024-05-11	382	Farmers	-	Spartans	-
37 - 2024-05-12	393	TigersCats	-	Farmers	-
39 - 2024-05-14	411	Farmers	-	Scorpions	-
40 - 2024-05-15	425	Supreme	-	Farmers	-
42 - 2024-05-17	442	Farmers	-	Twins	-
43 - 2024-05-18	456	Barracudas	-	Farmers	-
45 - 2024-05-20	475	Bandits	-	Farmers	-
46 - 2024-05-21	491	Farmers	-	Saguenéens	-
47 - 2024-05-22	505	Husky	-	Farmers	-
49 - 2024-05-24	520	Farmers	-	Warriors	-
50 - 2024-05-25	535	Farmers	-	Thugs	-
51 - 2024-05-26	548	Vandals	-	Farmers	-
53 - 2024-05-28	567	Thugs	-	Farmers	-
54 - 2024-05-29	582	Farmers	-	Raptors	-
56 - 2024-05-31	597	Farmers	-	Vandals	-
58 - 2024-06-02	612	Igloos	-	Farmers	-
59 - 2024-06-03	629	Scorpions	-	Farmers	-
61 - 2024-06-05	642	Farmers	-	Marmots	-
62 - 2024-06-06	658	Farmers	-	Grizzlies	-
63 - 2024-06-07	676	Bayou	-	Farmers	-
65 - 2024-06-09	690	Farmers	-	Chiwawa	-
66 - 2024-06-10	704	Saguenéens	-	Farmers	-
67 - 2024-06-11	717	Farmers	-	Xpress	-
69 - 2024-06-13	737	Chiwawa	-	Farmers	-
70 - 2024-06-14	753	Farmers	-	Predateurs	-
71 - 2024-06-15	766	Rockets	-	Farmers	-
73 - 2024-06-17	785	Snowbirds	-	Farmers	-
74 - 2024-06-18	801	Farmers	-	Rockets	-
75 - 2024-06-19	814	Vipers	-	Farmers	-
76 - 2024-06-20	829	Farmers	-	CoolFm	-
78 - 2024-06-22	846	Smirnoff Ice	-	Farmers	-
79 - 2024-06-23	864	Farmers	-	Vipers	-
80 - 2024-06-24	874	Farmers	-	Marlies	-
82 - 2024-06-26	889	Farmers	-	Bayou	-
83 - 2024-06-27	899	Goons	-	Farmers	-
85 - 2024-06-29	922	CoolFm	-	Farmers	-
87 - 2024-07-01	940	Hunters	-	Farmers	-
89 - 2024-07-03	965	Marmots	-	Farmers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
90 - 2024-07-04	971	Farmers	-	Igloos	-
91 - 2024-07-05	987	Farmers	-	Goons	-
93 - 2024-07-07	1001	Marlies	-	Farmers	-
94 - 2024-07-08	1014	Farmers	-	Wolves	-
96 - 2024-07-10	1034	Wolves	-	Farmers	-
98 - 2024-07-12	1054	Farmers	-	Smirnoff Ice	-
99 - 2024-07-13	1061	Twins	-	Farmers	-
101 - 2024-07-15	1087	Xpress	-	Farmers	-
104 - 2024-07-18	1102	Farmers	-	Bandits	-
106 - 2024-07-20	1122	Grizzlies	-	Farmers	-
107 - 2024-07-21	1134	Farmers	-	Barracudas	-
108 - 2024-07-22	1142	Farmers	-	TigersCats	-
110 - 2024-07-24	1154	Farmers	-	TigersCats	-
112 - 2024-07-26	1176	Smirnoff Ice	-	Farmers	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	11,926	6,000
Attendance PCT	99.38%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
32	2988 - 99.59%	101,482$	608,892$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
522,893$	2,447,500$	2,447,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	436,349$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,247,424$	94	26,084$	2,451,896$

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
45	82	47	16	0	2	5	8	4	337	249	88	41	25	6	0	2	2	4	2	172	118	54	41	22	10	0	0	3	4	2	165	131	34	123	337	541	878	1	5	87	122	118	19	2659	800	930	911	68	2298	734	779	1260	260	77	29.62%	231	59	74.46%	6	843	1691	49.85%	849	1655	51.30%	726	1352	53.70%	1895	1246	1828	653	1266	628
46	82	25	41	0	6	5	0	5	263	315	-52	41	10	21	0	4	4	0	2	136	158	-22	41	15	20	0	2	1	0	3	127	157	-30	72	263	488	751	3	4	50	88	119	6	2068	491	692	866	31	2278	782	812	1069	232	36	15.52%	283	78	72.44%	5	691	1414	48.87%	714	1495	47.76%	608	1299	46.81%	2169	1574	1664	597	1124	547
47	13	3	6	0	1	0	1	2	54	50	4	6	1	2	0	1	0	1	1	28	25	3	7	2	4	0	0	0	0	1	26	25	1	12	54	90	144	0	0	8	16	28	4	422	108	144	167	12	359	136	131	274	40	11	27.50%	38	7	81.58%	1	159	269	59.11%	110	231	47.62%	135	219	61.64%	301	187	264	111	229	114
Total Regular Season	177	75	63	0	9	10	9	11	654	614	40	88	36	29	0	7	6	5	5	336	301	35	89	39	34	0	2	4	4	6	318	313	5	207	654	1119	1773	4	9	145	226	265	29	5149	1399	1766	1944	111	4935	1652	1722	2603	532	124	23.31%	552	144	73.91%	12	1693	3374	50.18%	1673	3381	49.48%	1469	2870	51.18%	4366	3009	3756	1362	2621	1290
Playoff
45	11	5	6	0	0	0	0	0	37	33	4	6	3	3	0	0	0	0	0	21	17	4	5	2	3	0	0	0	0	0	16	16	0	10	37	68	105	0	1	8	14	15	0	293	64	95	134	0	281	79	121	144	39	11	28.21%	38	4	89.47%	1	103	214	48.13%	104	209	49.76%	92	187	49.20%	210	131	306	83	142	69
Total Playoff	11	5	6	0	0	0	0	0	37	33	4	6	3	3	0	0	0	0	0	21	17	4	5	2	3	0	0	0	0	0	16	16	0	10	37	68	105	0	1	8	14	15	0	293	64	95	134	0	281	79	121	144	39	11	28.21%	38	4	89.47%	1	103	214	48.13%	104	209	49.76%	92	187	49.20%	210	131	306	83	142	69

Back to the Top