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
Joona Koppanen (R) ''A''	LW	100.00	88	35	90	47	85	81	85	48	69	47	48	66	56	68	68	51	52	27	700,000$ / 1 yrs
John Beecher ''A''	C/LW	100.00	69	46	87	47	87	81	92	48	84	49	49	71	54	67	66	51	52	24	900,000$ / 1 yrs
Matt Luff	RW	100.00	66	36	83	46	81	79	82	47	57	49	46	59	76	69	68	51	51	28	900,000$ / 2 yrs
Juha Jaaska	LW	100.00	63	83	80	48	79	76	84	48	69	50	47	57	53	70	65	45	51	27	900,000$ / 2 yrs
Hendrix Lapierre	C	100.00	57	36	89	50	74	78	80	49	74	52	47	61	54	67	65	51	51	23	1,200,000$ / 1 yrs
Matthew Poitras	C	100.00	57	35	91	50	74	81	83	50	77	54	47	59	54	64	62	51	51	21	800,000$ / 2 yrs
Justin Sourdif	C/RW	100.00	71	40	78	46	76	81	82	47	79	48	46	63	75	65	64	51	50	23	100,000$ / 5 yrs
Graeme Clarke	RW	100.00	57	38	86	44	73	88	89	45	74	46	45	59	73	66	66	51	49	24	100,000$ / 5 yrs
Tyler Madden	C	100.00	64	36	91	43	72	88	90	44	70	46	43	59	71	67	67	51	49	25	100,000$ / 5 yrs
Callahan Burke	RW	100.00	59	37	89	42	75	88	90	42	54	43	43	63	69	69	69	51	48	28	800,000$ / 2 yrs
Caedan Bankier	C	100.00	64	31	83	42	79	86	89	42	79	43	44	60	70	64	65	52	48	22	100,000$ / 5 yrs
Gabriel Fortier	LW	100.00	74	35	90	41	76	83	84	40	73	42	44	61	69	67	68	52	48	25	800,000$ / 1 yrs
Henry Thrun	D	100.00	69	70	82	40	78	87	82	39	30	50	48	74	58	67	63	51	55	24	1,100,000$ / 1 yrs
Cale Fleury ''C''	D	100.00	78	36	89	35	80	79	80	35	30	47	46	73	57	72	68	51	54	26	900,000$ / 2 yrs
Scott Morrow (R)	D	100.00	62	37	89	40	81	81	83	40	30	52	47	70	53	66	66	51	54	23	800,000$ / 2 yrs
Jaycob Megna	D	100.00	75	40	89	34	88	89	92	35	30	44	40	74	67	78	79	51	53	32	900,000$ / 2 yrs
Matt Benning	D	100.00	74	40	80	34	80	74	73	33	30	43	40	74	66	74	74	51	53	31	900,000$ / 2 yrs
Jordan Harris	D	100.00	67	35	91	37	76	80	67	37	30	48	46	72	53	68	64	51	53	25	900,000$ / 1 yrs
Scratches
Jacob Doty	RW	100.00	72	71	75	38	84	81	83	38	51	41	40	59	65	76	76	36	47	32	600,000$ / 1 yrs
Max McCue (R)	C	100.00	64	46	69	38	77	77	80	39	77	41	40	65	65	64	65	36	46	22	100,000$ / 5 yrs
Maksymilian Szuber	D	100.00	83	38	84	35	84	87	89	36	30	47	41	64	70	65	66	36	52	23	100,000$ / 5 yrs
Frederic Brunet	C	100.00	62	33	87	41	78	86	91	42	76	45	41	65	69	64	65	36	51	22	100,000$ / 5 yrs
Case McCarthy (R)	D	100.00	70	38	95	31	79	73	75	31	30	40	38	66	62	66	67	36	49	24	100,000$ / 5 yrs

	TEAM AVERAGE	100.00	68	42	86	41	79	82	84	42	57	46	44	65	63	68	67	48	51

GOALIE	POS	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	MO	OV	AGE	CONTRACT
Leevi Merilainen (R)	G	97.00	84	88	87	91	81	83	84	85	85	81	85	68	68	54	69	23	800,000$ / 2 yrs
Akira Schmid	G	100.00	78	80	82	94	75	77	79	78	79	77	79	70	68	55	66	25	900,000$ / 1 yrs
Scratches
Dennis Hildeby (R)	G	100.00	77	82	82	94	77	78	78	75	75	77	78	68	68	43	65	24	100,000$ / 5 yrs
Dom DiVincentiis (R)	G	100.00	72	79	78	91	71	72	72	72	72	72	73	66	66	43	62	21	100,000$ / 5 yrs
Ty Young (R)	G	100.00	66	73	74	93	66	67	64	65	68	66	67	66	66	43	58	21	100,000$ / 5 yrs

	TEAM AVERAGE	99.40	75	80	81	93	74	75	75	75	76	75	76	68	67	48	64

COACH	PH	DF	OF	PD	EX	LD	PO	Country	Age	Contract	Salary
Mike Yeo	76	78	77	77	80	77	76	CAN	51	2	200,000$

Player Stats

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKM	GW	GT	FO%	FOT	GA	P/20	PSG	PSS
1	Hendrix Lapierre	Roadrunners (UTA)	C	14	10	4	14	2	2	0	7	44	14	28	22.73%	1	19.:.57	2	1	3	0	14	2	1	53.44%	305	0	1.00	0	0
2	Matthew Poitras	Roadrunners (UTA)	C	14	4	8	12	-2	2	0	3	49	11	27	8.16%	0	19.:.53	0	2	2	0	0	0	1	53.68%	421	0	0.86	0	0
3	Henry Thrun	Roadrunners (UTA)	D	14	1	8	9	5	6	0	28	18	5	12	5.56%	38	24.:.07	0	1	1	0	34	0	0	0.00%	0	0	0.53	0	0
4	Justin Sourdif	Roadrunners (UTA)	C/RW	14	3	5	8	2	8	0	29	50	12	20	6.00%	0	17.:.26	0	0	0	0	18	0	0	51.16%	43	0	0.66	0	2
5	Jordan Harris	Roadrunners (UTA)	D	14	0	7	7	-1	6	0	9	20	4	12	0.00%	9	21.:.10	0	0	0	0	12	0	0	0.00%	0	0	0.47	0	0
6	Juha Jaaska	Roadrunners (UTA)	LW	13	2	5	7	5	19	5	16	47	12	36	4.26%	0	18.:.42	0	0	0	0	0	1	0	42.86%	14	0	0.58	0	0
7	Scott Morrow	Roadrunners (UTA)	D	14	0	7	7	6	6	0	16	17	3	12	0.00%	15	21.:.32	0	0	0	0	4	0	0	0.00%	0	0	0.46	0	0
8	Cale Fleury	Roadrunners (UTA)	D	14	2	4	6	-1	10	0	36	16	12	17	12.50%	24	22.:.43	1	0	1	0	33	0	0	0.00%	0	0	0.38	0	0
9	Matt Luff	Roadrunners (UTA)	RW	14	3	3	6	-2	4	0	26	46	12	19	6.52%	4	19.:.15	0	0	0	0	0	0	0	33.33%	18	0	0.45	0	2
10	John Beecher	Roadrunners (UTA)	C/LW	14	3	3	6	0	4	0	27	56	16	46	5.36%	4	22.:.34	0	0	0	0	41	1	1	56.69%	157	0	0.38	0	0
11	Callahan Burke	Roadrunners (UTA)	RW	14	1	2	3	3	2	0	4	17	2	14	5.88%	0	08.:.44	0	0	0	0	20	0	0	40.00%	5	0	0.49	0	0
12	Joona Koppanen	Roadrunners (UTA)	LW	14	2	1	3	-5	8	0	27	43	11	34	4.65%	2	16.:.17	0	0	0	0	38	0	0	63.16%	19	0	0.26	0	0
13	Tyler Madden	Roadrunners (UTA)	C	14	1	2	3	3	4	0	4	14	3	8	7.14%	0	07.:.14	0	0	0	0	0	0	0	49.59%	123	0	0.59	0	0
14	Matt Benning	Roadrunners (UTA)	D	14	0	2	2	-4	8	0	19	12	1	6	0.00%	12	15.:.38	0	0	0	0	27	0	0	0.00%	0	0	0.18	0	0
15	Caedan Bankier	Roadrunners (UTA)	C	13	1	1	2	-4	6	0	9	9	6	17	11.11%	3	11.:.00	0	0	0	0	2	0	0	54.31%	197	0	0.28	0	0
16	Gabriel Fortier	Roadrunners (UTA)	LW	13	2	0	2	3	4	0	15	15	0	9	13.33%	1	07.:.11	0	0	0	0	3	1	0	44.44%	9	0	0.43	0	0
17	Graeme Clarke	Roadrunners (UTA)	RW	14	1	1	2	-4	0	0	3	26	9	12	3.85%	0	10.:.27	0	0	0	0	0	0	0	57.14%	7	0	0.27	1	2
18	Jaycob Megna	Roadrunners (UTA)	D	14	0	0	0	-4	4	0	14	4	5	7	0.00%	11	15.:.51	0	0	0	0	30	0	0	0.00%	0	0	0.00	0	0
19	Case McCarthy	Roadrunners (UTA)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.32	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0
20	Frederic Brunet	Roadrunners (UTA)	C/D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0
21	Maksymilian Szuber	Roadrunners (UTA)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0
Team Total or Average				252	36	63	99	2	103	5	292	503	138	336	7.16%	124	16:30	3	4	7	281	0	283	5	3	53.26%	1318	0.48	0	1

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	GA	SA	EG	PS %	PSA	ST	BG	S2
1	Leevi Merilainen	Roadrunners (UTA)	12	6	6	0	91.5%	2.65	725	32	376	1	100.0%	3	12	2	1
2	Akira Schmid	Roadrunners (UTA)	2	0	1	1	92.4%	2.40	125	5	66	0	66.7%	3	2	12	0
Team Total or Average			14	6	7	1	0.916	2.61	850	37	442	1	83.3%	6	14	14	1

Lines

Forward Lines
John Beecher	Matthew Poitras	Matt Luff
Juha Jaaska	Hendrix Lapierre	Justin Sourdif
Joona Koppanen	Caedan Bankier	Graeme Clarke
Gabriel Fortier	Tyler Madden	Callahan Burke

Defensive Pairings
Henry Thrun	Scott Morrow
Jordan Harris	Cale Fleury
Jaycob Megna	Matt Benning

1st Power Play Unit
Juha Jaaska		Matthew Poitras		Hendrix Lapierre
Henry Thrun			Scott Morrow

2nd Power Play Unit
Joona Koppanen		John Beecher		Matt Luff
Jordan Harris			Cale Fleury

Goalies
Akira Schmid		Leevi Merilainen

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	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT	GF%	SH%	SV%	PDO	PDOBRK
1	Crunch	1	1	0	0	0	0	4	2	2	2	1.000	4	7	11	0	14	12	9	2	44	157	149	188	15	23	4	4	23	5	0	0.00%	2	0	100.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	66.7%	9.1%	91.3%	100.4	LUCKY
2	Moose	1	0	1	0	0	0	4	5	-1	0	0.000	4	8	12	0	14	12	9	2	38	157	149	188	15	32	10	2	20	0	0	0.00%	1	0	100.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	44.4%	10.5%	84.4%	94.9	FUN
3	Bruins	1	0	0	0	0	1	3	4	-1	1	0.500	3	4	7	0	14	12	9	2	39	157	149	188	15	34	7	8	27	4	0	0.00%	4	1	75.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	50.0%	7.7%	88.2%	95.9	Unlucky
4	Americans	1	0	1	0	0	0	1	2	-1	0	0.000	1	2	3	0	14	12	9	2	47	157	149	188	15	44	13	19	18	2	0	0.00%	2	0	100.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	33.3%	2.1%	95.5%	97.6	DULL
5	Marlies	1	0	1	0	0	0	2	3	-1	0	0.000	2	4	6	0	14	12	9	2	33	157	149	188	15	40	12	10	17	1	0	0.00%	4	0	100.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	40.0%	6.1%	92.5%	98.6	DULL
6	Thunderbirds	1	1	0	0	0	0	3	2	1	2	1.000	3	6	9	0	14	12	9	2	33	157	149	188	15	29	7	6	28	1	0	0.00%	3	0	100.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	60.0%	9.1%	93.1%	102.2	LUCKY
7	IceHogs	1	1	0	0	0	0	3	2	1	2	1.000	3	5	8	0	14	12	9	2	39	157	149	188	15	27	9	6	21	2	0	0.00%	3	0	100.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	60.0%	7.7%	92.6%	100.3	DULL
8	Admirals	1	0	1	0	0	0	2	3	-1	0	0.000	2	3	5	0	14	12	9	2	34	157	149	188	15	31	5	8	16	2	1	50.00%	4	0	100.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	25.0%	5.9%	90.3%	96.2	Unlucky
9	Wild	1	1	0	0	0	0	5	2	3	2	1.000	5	9	14	0	14	12	9	2	42	157	149	188	15	26	5	8	22	3	0	0.00%	3	0	100.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	71.4%	11.9%	92.3%	104.2	LUCKY
10	Condors	1	0	0	0	1	0	4	3	1	2	1.000	4	6	10	0	14	12	9	2	32	157	149	188	15	27	8	8	18	6	0	0.00%	3	1	66.67%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	66.7%	12.5%	88.9%	101.4	FUN
11	Wranglers	1	0	1	0	0	0	1	3	-2	0	0.000	1	1	2	0	14	12	9	2	31	157	149	188	15	44	12	4	17	0	0	0.00%	2	1	50.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	33.3%	3.2%	93.2%	96.4	DULL
12	Eagles	2	0	1	1	0	0	5	6	-1	2	0.500	5	8	13	1	14	12	9	2	72	157	149	188	15	54	17	10	46	5	2	40.00%	5	2	60.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	42.9%	6.9%	88.9%	95.8	Unlucky
13	Barracuda	1	0	1	0	0	0	0	2	-2	0	0.000	0	0	0	0	14	12	9	2	19	157	149	188	15	32	15	10	19	1	0	0.00%	5	1	80.00%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	0.0%	0.0%	93.8%	93.8	DULL
	_Vs Division	7	3	3	1	0	0	22	20	2	8	0.571	22	39	61	1	14	12	9	2	258	157	149	188	15	199	53	40	153	13	3	23.08%	19	2	89.47%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	51.4%	8.5%	89.9%	98.5	Unlucky
	_Vs Conference	10	3	5	1	1	0	27	28	-1	10	0.500	27	46	73	1	14	12	9	2	340	157	149	188	15	302	88	62	207	20	3	15.00%	29	5	82.76%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	51.1%	7.9%	90.7%	98.7	Unlucky
	_Since Last GM Reset	14	4	7	1	1	1	37	39	-2	13	0.464	37	63	100	1	14	12	9	2	503	157	149	188	15	443	124	103	292	32	3	9.38%	41	6	85.37%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	50.7%	7.4%	91.2%	98.6	DULL
	Total	14	4	7	1	1	1	37	39	-2	13	0.464	37	63	100	1	14	12	9	2	503	157	149	188	15	443	124	103	292	32	3	9.38%	41	6	85.37%	307	548	56.02%	267	516	51.74%	128	226	56.64%	340	226	312	111	199	100	50.7%	7.4%	91.2%	98.6	DULL

	Puck Time
Offensive Zone	24
Neutral Zone	14
Defensive Zone	22

	Puck Time
Offensive Zone Start	548
Neutral Zone Start	226
Defensive Zone Start	516

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	702
Faceoffs Lost	588

	Team Average Shots after	League Average Shots after
1st Period	11.2	9.57
2nd Period	21.9	20.31
3rd Period	35.3	30.68
Overtime	36.4	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.0	0.64
2nd Period	1.9	1.65
3rd Period	2.5	2.67
Overtime	2.6	2.83


Even Strenght Goal	33
PP Goal	3
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	1	5
Lost	3	4
Overtime Lost	1	0


PP Attempt	32
PP Goal	3
PK Attempt	41
PK Goal Against	6

	Home
Shots For	35.9
Shots Against	31.6
Goals For	2.6
Goals Against	2.8
Hits	20.9
Shots Blocked	8.9
Pim	7.4

Schedule

Date	Matchup			Result	Detail
Thu, Oct 9	TUC	@	COE	TUC3,COE2 (OT)	RECAP
Sat, Oct 11	TUC	@	MIL	TUC2,MIL3	RECAP
Mon, Oct 13	TUC	@	RFD	TUC3,RFD2	RECAP
Wed, Oct 15	CGW	@	TUC	CGW3,TUC1	RECAP
Fri, Oct 17	SJB	@	TUC	SJB2,TUC0	RECAP
Sun, Oct 19	PVD	@	TUC	PVD4,TUC3 (SO)	RECAP
Tue, Oct 21	COE	@	TUC	COE4,TUC2	RECAP
Thu, Oct 23	TUC	@	SPR	TUC3,SPR2	RECAP
Sat, Oct 25	TUC	@	IOW	TUC5,IOW2	RECAP
Sun, Oct 26	TUC	@	MAN	TUC4,MAN5	RECAP
Tue, Oct 28	TUC	@	BKS	TUC4,BKS3 (SO)	RECAP
Sun, Nov 2	SYR	@	TUC	SYR2,TUC4	RECAP
Tue, Nov 4	TUC	@	ROC	TUC1,ROC2	RECAP
Wed, Nov 5	TUC	@	TOM	TUC2,TOM3	RECAP
Sat, Nov 8	TUC	@	LAV
Sun, Nov 9	TUC	@	BEL
Wed, Nov 12	ROC	@	TUC
Fri, Nov 14	BRI	@	TUC
Mon, Nov 17	TUC	@	SDG
Tue, Nov 18	TUC	@	SJB
Thu, Nov 20	HSK	@	TUC
Sat, Nov 22	HWP	@	TUC
Mon, Nov 24	HSK	@	TUC
Wed, Nov 26	LAV	@	TUC
Fri, Nov 28	TUC	@	TEX
Sat, Nov 29	TUC	@	SPR
Mon, Dec 1	TUC	@	SJB
Wed, Dec 3	TUC	@	SDG
Fri, Dec 5	TUC	@	ABB
Sat, Dec 6	TUC	@	CGW
Mon, Dec 8	ONT	@	TUC
Wed, Dec 10	CHA	@	TUC
Fri, Dec 12	CVF	@	TUC
Sun, Dec 14	TUC	@	WIL
Tue, Dec 16	TUC	@	PVD
Wed, Dec 17	TUC	@	GRG
Fri, Dec 19	UTI	@	TUC
Sun, Dec 21	MAN	@	TUC
Tue, Dec 23	TUC	@	COE
Mon, Dec 29	MIL	@	TUC
Thu, Jan 1	TUC	@	BRI
Sat, Jan 3	TUC	@	UTI
Mon, Jan 5	TUC	@	HWP
Wed, Jan 7	BEL	@	TUC
Fri, Jan 9	SPR	@	TUC
Sun, Jan 11	CLV	@	TUC
Tue, Jan 13	TOM	@	TUC
Thu, Jan 15	TEX	@	TUC
Sat, Jan 17	CVF	@	TUC
Wed, Jan 21	LVP	@	TUC
Sat, Jan 24	TUC	@	MIL
Mon, Jan 26	TUC	@	SYR
Tue, Jan 27	TUC	@	CHA
Thu, Jan 29	TUC	@	CHW
Sat, Jan 31	TEX	@	TUC
Mon, Feb 2	ABB	@	TUC
Wed, Feb 4	GRG	@	TUC
Wed, Feb 25	COE	@	TUC
Fri, Feb 27	IOW	@	TUC
Sun, Mar 1	RFD	@	TUC
Tue, Mar 3	TUC	@	HER
Thu, Mar 5	TUC	@	LVP
Sat, Mar 7	TUC	@	CLV
Trade Deadline --- Trades can not be done after this day is simulated!
Mon, Mar 9	TUC	@	RFD
Tue, Mar 10	TUC	@	IOW
Thu, Mar 12	RFD	@	TUC
Sat, Mar 14	WIL	@	TUC
Mon, Mar 16	TUC	@	TEX
Thu, Mar 19	TUC	@	HSK
Fri, Mar 20	SDG	@	TUC
Sun, Mar 22	ONT	@	TUC
Tue, Mar 24	BKS	@	TUC
Thu, Mar 26	HER	@	TUC
Sat, Mar 28	TUC	@	ONT
Thu, Apr 2	TUC	@	CVF
Sat, Apr 4	TUC	@	ABB
Tue, Apr 7	BKS	@	TUC
Thu, Apr 9	MIL	@	TUC
Sat, Apr 11	CHW	@	TUC
Sun, Apr 12	TUC	@	CGW
Tue, Apr 14	MAN	@	TUC
Thu, Apr 16	SPR	@	TUC

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

Roadrunners6-7-1, 13pts

12Final

Americans10-4-0, 20pts

Roadrunners6-7-1, 13pts

23Final

Marlies6-7-1, 13pts

Roadrunners6-7-1, 13pts

Sat, Nov 08

Rocket6-7-1, 13pts

Roadrunners6-7-1, 13pts

Sun, Nov 09

Senators6-5-3, 15pts

Americans10-4-0, 20pts

Wed, Nov 12

Roadrunners6-7-1, 13pts

Team Leaders

	GOALS Hendrix Lapierre 10			ASSISTS Matthew Poitras 8
	POINTS Hendrix Lapierre 14			DEFENSEMAN Henry Thrun 9
	PIM Juha Jaaska 19			PLUS/MINUS Scott Morrow 6
	WINS Leevi Merilainen 6			SV% Akira Schmid 92.4%

Team Info


	Head Coach	Mike Yeo
	Conference	Western Conference
	Division	Central Division
	Stadium Capacity	3,000

Player to Watch


Point Streak Henry Thrun Roadrunners (UTA)	4 Game(s) 0G-0A-0P This Month

Roadrunners Affiliation


	NHL Team	Utah Mammoth
	Head Coach	Spencer Carbery
	Stadium	Delta Center
	Capacity	18,175

Roster Info


	Farm Team	28
	Pro Team	22/25
	Contract Limit	50/55
	Prospects & Player's Rights	41

Nationalities


	CAN	12
	USA	10
	FIN	3
	CHE	1
	SWE	1
	GER	1

Team Stats

Goals For 37 2.64 GFG	Goals Against 39 2.79 GAA
Power Play Percentage 9.4% 3 GF	Penalty Kill Percentage 85.4% 6 GA