Day : 95

WPG - 2
UTA - 4

DAL - 3
OTT - 7

LOS - 4
BUF - 3

SJS - 3
CAR - 2

TOR - 3
TBL - 0

CLB - 4
WSH - 8

VAN - 4
PHI - 2

ANH - 3
NJD - 4

MIN - 2
NYR - 3

FLA - 3
PIT - 2

GRG - 2
SAR - 5

PRO - 6
NOR - 1

HAM - 3
GAT - 2

CTW - 6
SJS - 5

Day : 96

(20-23-1) - L2
(9-33-5) - L2

(34-10-2) - W2
(22-21-4) - L2

(27-16-3) - L2
(10-34-4) - L2

(23-20-4) - W4
(33-6-3) - W2

(19-23-3) - L2
(14-27-1) - L3

(15-23-7) - W3
(24-17-2) - W2

(25-15-7) - OTL1
(25-14-5) - W1

(24-19-3) - L1
(14-26-4) - L1

(25-17-3) - OTL1
(31-8-5) - W5

(24-18-6) - W3
(28-15-2) - W4

(26-12-1) - W1
(26-18-2) - L1

(25-11-5) - W1
(25-19-6) - L2

(26-19-2) - W3
(26-14-3) - W1

(31-6-6) - L1
(31-27-1) - L1

(26-10-6) - W2
(26-19-4) - W2

(31-7-4) - W8
(31-11-4) - L3

(27-12-1) - W2
(27-18-5) - OTL1

(16-26-4) - L1
(16-19-2) - L1

(15-22-4) - W1
(15-23-4) - L1

(16-20-5) - W1
(16-30-0) - W1

(14-26-4) - L1
(14-19-1) - W1

Game Center
	Henderson Silver Knights 24-19-1, 49pts	1	FINAL	4	Wilkes-Barre/Scranton Penguins 27-12-1, 55pts

Team Stats
W1	Streak	W2
14-6-1	Home Record	17-4-1
10-13-0	Home Record	10-8-0
6-4-0	Last 10 Games	7-3-0
4.07	Goals Per Game	4.55
3.70	Goals Against Per Game	3.03
23.91%	Power Play Percentage	32.35%
77.12%	Penalty Kill Percentage	78.03%

Houston Aeros
14-27-1, 29pts

1

FINAL

4

Wilkes-Barre/Scranton Penguins
27-12-1, 55pts

Team Stats
L1	Streak	W2
9-11-1	Home Record	17-4-1
5-16-0	Home Record	10-8-0
4-6-0	Last 10 Games	7-3-0
3.33	Goals Per Game	4.55
4.67	Goals Against Per Game	3.03
18.18%	Power Play Percentage	32.35%
76.57%	Penalty Kill Percentage	78.03%

Wilkes-Barre/Scranton Penguins
27-12-1, 55pts

Day 96

Portland Crying Chiwawas
20-18-5, 45pts

Team Stats
W2	Streak	OTL1
17-4-1	Home Record	12-8-1
10-8-0	Away Record	8-10-4
7-3-0	Last 10 Games	4-5-1
4.55	Goals Per Game	3.70
3.03	Goals Against Per Game	3.70
32.35%	Power Play Percentage	21.80%
78.03%	Penalty Kill Percentage	79.41%

Rochester Americans
25-14-3, 53pts

Day 97

Wilkes-Barre/Scranton Penguins
27-12-1, 55pts

Team Stats
W1	Streak	W2
14-6-1	Home Record	17-4-1
11-8-2	Away Record	10-8-0
7-2-1	Last 10 Games	7-3-0
4.02	Goals Per Game	4.55
3.79	Goals Against Per Game	4.55
32.05%	Power Play Percentage	32.35%
83.21%	Penalty Kill Percentage	78.03%

Wilkes-Barre/Scranton Penguins
27-12-1, 55pts

Day 99

Rochester Americans
25-14-3, 53pts

Team Stats
W2	Streak	W1
17-4-1	Home Record	14-6-1
10-8-0	Away Record	11-8-2
7-3-0	Last 10 Games	7-2-1
4.55	Goals Per Game	4.02
3.03	Goals Against Per Game	4.02
32.35%	Power Play Percentage	32.05%
78.03%	Penalty Kill Percentage	83.21%

Team Leaders
	Goals Dylan Guenther 26	Assists Alexander Delnov 38

	Points Alexander Delnov 59	Plus/Minus John Ludvig 30

	Wins Sami Aittokallio 14	Save Percentage Sami Aittokallio 0.906

Team Stats
Goals For 182 4.55 GFG	Shots For 1319 32.98 Avg	Power Play Percentage 32.4% 44 GF	Offensive Zone Start 37.1%
Goals Against 121 3.03 GAA	Shots Against 1236 30.90 Avg	Penalty Kill Percentage 78.0%% 29 GA	Defensive Zone Start 36.8%

Team Info
	General Manager	Yannick Vézina-Roy / Félix Julien
	Coach	Dallas Eakins
	Division	Gionta
	Conference	Fortunus
	Captain	Alexander Delnov
	Assistant #1	Calle Rosén
	Assistant #2	Alexander Volkov
Arena Info
	Capacity	3,000
	Attendance	300
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	21
	Contract Limit	47 / 50
	Prospects	38

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	TA	SP	Age	Contract	Salary Average
1	Ostap Safin (R)		X	X		100.00	84	38	88	79	86	79	74	77	60	72	71	70	70	73	72	5	50	0		0	25	1	900,000$
2	Jack Dugan (R)		X			100.00	77	35	84	82	80	84	81	80	66	75	74	68	75	77	82	6	50	0		0	26	1	1,800,000$
3	Alex Steeves (R)	X				100.00	81	30	80	81	81	86	85	79	76	74	73	70	79	73	77	6	50	0		0	25	2	1,500,000$
4	Riley Kidney (R)	X				100.00	77	45	77	78	79	87	81	77	73	74	71	67	77	64	65	7	50	0		0	21	2	925,000$
5	Matej Blümel (R)		X	X		100.00	72	30	94	81	82	83	82	80	66	74	73	68	74	71	71	6	50	0		0	24	2	900,000$
6	Antoine Morand (R)	X				100.00	77	30	83	80	78	83	85	77	76	73	71	68	76	75	77	5	50	0		0	25	1	900,000$
7	Alexander Volkov (A)		X	X		100.00	78	35	86	81	84	87	89	80	70	75	74	68	73	83	79	6	50	0		0	27	1	1,500,000$
8	Dylan Guenther (R)		X	X		100.00	70	30	79	81	77	81	83	81	71	75	74	68	78	67	67	8	50	0		0	21	2	950,000$
9	Alex Limoges	X	X			100.00	60	35	93	79	83	85	85	79	73	74	74	68	76	77	78	6	50	0		0	27	2	1,500,000$
10	Alexander Delnov (C)		X	X		100.00	79	35	90	85	81	84	83	80	71	75	74	67	74	94	88	1	50	0	N	0	30	2	1,500,000$
11	Kevin Klima	X	X			100.00	77	40	82	81	81	82	79	78	74	72	72	74	71	66	66	5	50	0		0	27	1	1,000,000$
12	Arttu Ruotsalainen	X	X			100.00	58	20	99	85	74	83	81	78	74	72	70	67	71	79	73	4	50	0		0	27	1	950,000$
13	Daniil Chayka (R)				X	100.00	72	30	81	77	81	82	81	76	50	74	62	85	60	69	67	7	50	0		0	22	1	900,000$
14	Leo Lööf (R)				X	100.00	88	47	76	76	81	84	84	77	50	72	62	85	62	68	65	6	50	0		0	22	1	775,000$
15	Calle Rosén (A)				X	100.00	76	35	79	79	78	81	81	79	53	76	64	87	67	93	91	1	50	0		0	30	1	1,750,000$
16	John Ludvig (R)				X	100.00	82	50	74	76	84	83	81	77	50	75	68	87	64	71	68	6	50	0		0	24	2	900,000$
17	Karlis Cukste				X	100.00	94	46	74	78	89	82	80	77	50	73	65	87	63	73	72	6	50	0	N	0	27	3	1,250,000$
18	Kale Clague (R)				X	100.00	78	35	79	82	78	81	81	81	50	75	66	84	67	72	72	7	50	0		0	26	1	1,750,000$
Scratches
1	Roman Kantserov (R)		X	X		100.00	62	25	86	77	68	81	78	77	70	70	70	63	79	65	62	6	50	0		0	20	3	900,000$
2	Lucas Wallmark	X	X			100.00	63	25	96	84	70	78	75	78	73	69	70	65	74	70	69	1	50	0		0	29	1	1,500,000$
3	Elias Salomonsson (R)				X	100.00	78	25	72	74	78	81	81	76	50	70	62	84	65	64	62	6	50	0		0	20	3	900,000$
4	Peetro Seppälä (R)				X	97.19	78	35	78	78	82	81	77	76	52	73	63	84	64	76	76	6	50	0		0	24	1	1,250,000$
5	Axel Andersson (R)				X	100.00	71	37	81	77	73	77	73	76	50	72	61	84	60	67	67	6	50	0		0	24	1	1,250,000$

	TEAM AVERAGE					99.87	75	34	83	80	79	82	81	78	63	73	69	75	70	73	72	5	50	0

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	TA	SP	Age	Contract	Salary Average
1	Dmitri Nikolayev (R)	100.00	83	81	85	84	85	84	85	84	83	85	82	67	69	8	50	0		0	24	2	900,000$
2	Sami Aittokallio	100.00	86	83	85	85	90	88	90	88	88	91	89	86	87	1	50	0	N	0	32	2	1,750,000$
3	Jake Paterson	100.00	91	85	87	83	90	89	89	89	89	88	87	82	85	6	50	0		0	30	1	1,650,000$
Scratches

	TEAM AVERAGE	100.00	87	83	86	84	88	87	88	87	87	88	86	78	80	5	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dallas Eakins	82	82	83	82	81	81	70	USA	57	2	1,500,000$

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	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	GA	TA	EG	HT	P/20	PSG	PSS	FW	S1	S2	S3
1	Alexander Delnov	LW/RW	40	21	38	59	14	4	0	46	22	128	34	77	16.41%	5	602	15.06	9	15	24	39	119	0	0	0	0	0	3	1	61.11%	54	83	5	0	0	1.96	1	2	0	5	2	3
2	Dylan Guenther	LW/RW	40	26	27	53	19	12	0	25	19	109	26	65	23.85%	8	605	15.14	13	9	22	35	117	0	0	0	0	0	3	1	53.33%	30	56	6	0	0	1.75	1	2	0	2	2	4
3	Jack Dugan	LW	40	19	16	35	14	8	0	51	26	100	42	59	19.00%	8	737	18.44	6	4	10	25	93	0	2	2	3	159	3	0	45.16%	31	62	14	0	1	0.95	0	0	0	6	2	1
4	Matej Blümel	LW/RW	40	16	19	35	8	2	0	28	16	104	25	70	15.38%	4	570	14.25	3	10	13	15	94	0	0	0	0	2	3	1	36.84%	19	64	8	0	0	1.23	0	0	0	2	0	4
5	Alexander Volkov	LW/RW	40	15	18	33	11	4	0	58	26	81	26	54	18.52%	11	507	12.68	0	0	0	0	0	0	0	0	0	0	2	0	47.22%	36	65	10	0	1	1.30	0	0	0	3	3	0
6	Alex Limoges	C/LW	40	13	19	32	14	0	0	14	26	56	26	41	23.21%	5	495	12.39	0	0	0	0	0	0	0	0	0	0	1	3	50.27%	368	26	7	0	0	1.29	0	0	0	1	2	3
7	Alex Steeves	C	30	9	22	31	12	10	0	46	38	69	30	31	13.04%	6	476	15.89	3	5	8	12	65	0	0	0	2	40	0	2	52.17%	368	31	9	0	0	1.30	1	2	0	2	3	2
8	Riley Kidney	C	40	9	19	28	11	16	0	47	34	74	19	42	12.16%	13	608	15.21	3	11	14	17	118	0	0	0	0	14	2	1	50.84%	533	23	7	0	0	0.92	0	0	0	0	1	1
9	Leo Lööf	D	37	3	18	21	-1	20	0	79	87	48	22	21	6.25%	64	823	22.26	1	7	8	16	115	0	2	2	1	99	1	0	0.00%	0	3	38	0	0	0.51	0	0	0	1	0	0
10	Arttu Ruotsalainen	C/LW	36	5	16	21	11	0	0	15	19	66	30	40	7.58%	8	500	13.91	0	0	0	0	0	1	0	1	1	41	2	0	54.41%	68	39	5	0	0	0.84	0	0	0	1	2	0
11	John Ludvig	D	33	7	12	19	30	46	0	65	72	63	31	23	11.11%	66	827	25.06	2	5	7	16	69	0	0	0	2	98	2	1	0.00%	0	5	50	0	0	0.46	0	0	0	1	1	3
12	Calle Rosén	D	38	4	14	18	22	26	0	49	88	49	15	20	8.16%	66	822	21.64	0	1	1	7	58	0	0	0	1	63	1	0	0.00%	0	1	57	0	0	0.44	0	0	0	0	1	0
13	Kevin Klima	C/LW	31	8	10	18	10	33	5	36	36	58	26	49	13.79%	18	489	15.78	0	0	0	0	0	1	1	2	6	109	1	1	52.33%	172	42	6	0	0	0.74	0	0	0	0	0	2
14	Ostap Safin	LW/RW	40	6	11	17	4	4	0	53	36	65	29	37	9.23%	9	569	14.23	0	0	0	0	1	0	0	0	6	57	1	0	50.00%	16	39	6	1	0	0.60	0	0	0	0	0	0
15	Antoine Morand	C	40	6	9	15	10	10	0	40	25	64	20	46	9.38%	9	513	12.83	0	1	1	2	4	0	0	0	2	14	0	0	47.89%	380	33	0	0	0	0.58	0	0	0	0	0	1
16	Kale Clague	D	33	5	10	15	-1	10	0	49	51	43	17	17	11.63%	36	584	17.72	3	2	5	16	112	0	0	0	0	0	0	0	0.00%	0	5	25	0	0	0.51	0	0	0	0	1	0
17	Karlis Cukste	D	35	2	11	13	15	16	0	71	55	31	13	16	6.45%	52	589	16.85	0	0	0	0	0	0	0	0	0	114	0	0	0.00%	0	3	42	0	0	0.44	0	0	0	1	0	0
18	Axel Andersson	D	33	1	8	9	3	20	0	32	44	35	14	9	2.86%	28	565	17.14	1	2	3	5	32	0	0	0	0	2	0	0	0.00%	0	1	22	0	0	0.32	0	0	0	0	0	0
19	Lucas Wallmark	C/LW	10	1	6	7	-6	0	0	3	6	24	8	13	4.17%	3	145	14.56	0	2	2	1	22	0	0	0	0	0	0	0	46.09%	115	11	2	0	0	0.96	0	0	0	0	0	0
20	Roman Kantserov	LW/RW	13	3	1	4	-2	6	0	4	9	19	2	5	15.79%	3	158	12.19	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	5	12	1	0	0	0.50	0	0	0	0	0	0
21	Daniil Chayka	D	12	1	2	3	6	2	0	23	32	13	9	13	7.69%	20	251	20.97	0	0	0	1	5	1	0	1	1	45	0	0	0.00%	0	0	16	0	0	0.24	0	0	0	0	0	1
22	Peetro Seppälä	D	17	0	3	3	10	18	0	22	32	18	3	9	0.00%	26	332	19.55	0	3	3	2	32	0	0	0	0	10	0	0	0.00%	0	1	10	0	0	0.18	0	0	0	0	0	0
23	Elias Salomonsson	D	2	0	1	1	2	4	0	0	4	2	2	0	0.00%	1	32	16.37	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0	2	0	0	0.61	0	0	0	0	0	0
Team Total or Average				720	180	310	490	216	271	5	856	803	1319	469	757	13.65%	469	11811	16.40	44	77	121	209	1066	3	5	8	25	878	25	11	50.43%	2195	605	348	1	2	0.83	3	6	0	25	20	25

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2
1	Sami Aittokallio	Wilkes-Barre/Scranton Penguins (PIT)	24	14	8	1	0.906	2.78	1383	2	64	682	345	1	0.000	0	23	17	2	3
2	Jake Paterson	Wilkes-Barre/Scranton Penguins (PIT)	18	13	4	0	0.897	3.33	1027	0	57	554	287	1	0.833	6	17	23	1	1
Team Total or Average			42	27	12	1	0.902	3.01	2411	2	121	1236	632	2		6	40	40	3	4

Player Name	POS	Age	Birthday	Terms	Contract	Cap %	Year 2024	Year 2025	Year 2026	Year 2027	Year 2028	Year 2029	Year 2030
Forward
Alex Limoges	C/LW	27	1997-01-02	TW	2	0.00%	1,500,000$	1,500,000$	UFA [Age: 29]
Alex Steeves	C	25	1999-01-02	TW	2	0.00%	1,500,000$	1,500,000$	RFA ( Groupe: 2 ) [Age: 27]
Alexander Delnov	LW/RW	30	1994-01-22	NT TW	2	0.00%	1,500,000$	1,500,000$	UFA [Age: 32]
Alexander Volkov	LW/RW	27	1997-01-02	TW	1	0.00%	1,500,000$	UFA [Age: 28]
Antoine Morand	C	25	1999-01-02	TW	1	0.00%	900,000$	RFA ( Groupe: 2 ) [Age: 26]
Arttu Ruotsalainen	C/LW	27	1997-01-22	TW	1	0.00%	950,000$	UFA [Age: 28]
Dylan Guenther	LW/RW	21	2003-01-02	TW	2	0.00%	950,000$	950,000$	RFA ( Groupe: 1 )[Age: 23]
Jack Dugan	LW	26	1998-01-02	TW	1	0.00%	1,800,000$	RFA ( Groupe: 2 ) [Age: 27]
Kevin Klima	C/LW	27	1997-01-22	TW	1	0.00%	1,000,000$	UFA [Age: 28]
Lucas Wallmark	C/LW	29	1995-01-22	TW	1	0.00%	1,500,000$	UFA [Age: 30]
Matej Blümel	LW/RW	24	2000-01-02	TW	2	0.00%	900,000$	900,000$	RFA ( Groupe: 2 ) [Age: 26]
Ostap Safin	LW/RW	25	1999-01-02	TW	1	0.00%	900,000$	RFA ( Groupe: 2 ) [Age: 26]
Riley Kidney	C	21	2003-01-02	TW	2	0.00%	925,000$	925,000$	RFA ( Groupe: 1 )[Age: 23]
Roman Kantserov	LW/RW	20	2004-01-02	TW	3	0.00%	900,000$	900,000$	900,000$	RFA ( Groupe: 1 )[Age: 23]
AVERAGE (14)		25.29				0.00%	0$	8,175,000$	900,000$	0$	0$	0$	0$
Defenseman
Axel Andersson	D	24	2000-01-22	TW	1	0.00%	1,250,000$	RFA ( Groupe: 2 ) [Age: 25]
Calle Rosén	D	30	1994-01-03	TW	1	0.00%	1,750,000$	UFA [Age: 31]
Daniil Chayka	D	22	2002-01-02	TW	1	0.00%	900,000$	RFA ( Groupe: 1 )[Age: 23]
Elias Salomonsson	D	20	2004-01-02	TW	3	0.00%	900,000$	900,000$	900,000$	RFA ( Groupe: 1 )[Age: 23]
John Ludvig	D	24	2000-01-02	TW	2	0.00%	900,000$	900,000$	RFA ( Groupe: 2 ) [Age: 26]
Kale Clague	D	26	1998-01-22	TW	1	0.00%	1,750,000$	RFA ( Groupe: 2 ) [Age: 27]
Karlis Cukste	D	27	1997-01-22	NT TW	3	0.00%	1,250,000$	1,250,000$	1,250,000$	UFA [Age: 30]
Leo Lööf	D	22	2002-01-02	TW	1	0.00%	775,000$	RFA ( Groupe: 1 )[Age: 23]
Peetro Seppälä	D	24	2000-01-02	TW	1	0.00%	1,250,000$	RFA ( Groupe: 2 ) [Age: 25]
AVERAGE (9)		24.33				0.00%	0$	3,050,000$	2,150,000$	0$	0$	0$	0$
Goalies
Dmitri Nikolayev	G	24	2000-01-02	TW	2	0.00%	900,000$	900,000$	RFA ( Groupe: 2 ) [Age: 26]
Jake Paterson	G	30	1994-01-22	TW	1	0.00%	1,650,000$	UFA [Age: 31]
Sami Aittokallio	G	32	1992-01-22	NT TW	2	0.00%	1,750,000$	1,750,000$	UFA [Age: 34]

Terms Legends : FV = Force Waiver / NT = No Trade / IN = Injured / TW = Two Way Contract (Can Play Pro + Can Play Farm)

Note: The salary cap amounts for the current year and the % of salary cap are based on a calculation of the simple salary cap calculation (Average Salary or Salary for the year depending on your salary options). If your salary cap is based on complex calculation, the results of this analysis could be incorrect by a small margin. The Current Year Pro Salary Cap is : 89,000,050$.

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alexander Delnov	Riley Kidney	Dylan Guenther	25	0	1	4
2	Jack Dugan	Alex Steeves	Matej Blümel	25	0	1	4
3	Arttu Ruotsalainen	Alex Limoges	Alexander Volkov	25	0	2	3
4	Kevin Klima	Antoine Morand	Ostap Safin	25	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kale Clague	Calle Rosén	25	0	2	3
2	John Ludvig	Karlis Cukste	25	0	3	2
3	Leo Lööf	Daniil Chayka	25	0	3	2
4	John Ludvig	Calle Rosén	25	0	3	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alexander Delnov	Riley Kidney	Dylan Guenther	60	0	0	5
2	Jack Dugan	Antoine Morand	Matej Blümel	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Leo Lööf	Kale Clague	60	0	2	3
2	Calle Rosén	John Ludvig	40	0	2	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Arttu Ruotsalainen	Jack Dugan	60	1	3	1
2	Antoine Morand	Ostap Safin	40	1	3	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Karlis Cukste	John Ludvig	60	1	3	1
2	Calle Rosén	Leo Lööf	40	1	3	1

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Arttu Ruotsalainen	60	1	2	2	Daniil Chayka	Karlis Cukste	60	1	3	1
2	Antoine Morand	40	1	2	2	Leo Lööf	Calle Rosén	40	1	3	1

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Alex Limoges	Dylan Guenther	60	1	2	2
2	Arttu Ruotsalainen	Alexander Delnov	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Leo Lööf	John Ludvig	60	1	2	2
2	Karlis Cukste	Daniil Chayka	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alexander Delnov	Riley Kidney	Dylan Guenther	Calle Rosén	Kale Clague

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Arttu Ruotsalainen	Antoine Morand	Ostap Safin	Leo Lööf	Karlis Cukste

Extra Forwards
Normal	PowerPlay	Penalty Kill
Dylan Guenther, Jack Dugan, Alexander Delnov	Alexander Delnov, Matej Blümel	Arttu Ruotsalainen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Daniil Chayka, Calle Rosén, Karlis Cukste	Kale Clague	Karlis Cukste, Leo Lööf

Penalty Shots
Alex Steeves, Alexander Delnov, Dylan Guenther, Jack Dugan, Alex Limoges

Goalie
#1 : Sami Aittokallio, #2 : Jake Paterson

Custom OT Lines Forwards
Alexander Delnov, Jack Dugan, Dylan Guenther, Alex Steeves, Alexander Volkov, Matej Blümel, Matej Blümel, Arttu Ruotsalainen, Antoine Morand, Alex Limoges, Ostap Safin

Custom OT Lines Defensemen
Leo Lööf, Kale Clague, Karlis Cukste, Calle Rosén, John Ludvig

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	Albany Devils	2	2	0	0	0	0	0	0	11	2	9	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	11	2	9	4	1.000	11	20	31	0	0	66	68	44	5	70	458	456	401	10	55	21	10	39	9	3	33.33%	5	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
2	Binghamton Senators	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	5	9	0	0	66	68	44	5	25	458	456	401	10	36	18	10	17	1	1	100.00%	5	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
3	Blainville-Boisbriand Armada	4	1	2	0	0	0	1	0	20	22	-2	2	0	1	0	0	0	1	0	10	10	0	2	1	1	0	0	0	0	0	10	12	-2	4	0.500	20	32	52	0	0	66	68	44	5	134	458	456	401	10	129	38	41	89	11	4	36.36%	16	5	68.75%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
4	Bridgeport Sound Tigers	2	0	2	0	0	0	0	0	4	10	-6	2	0	2	0	0	0	0	0	4	10	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	66	68	44	5	72	458	456	401	10	59	20	10	50	5	1	20.00%	5	3	40.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
5	Charlotte Checkers	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	66	68	44	5	26	458	456	401	10	27	11	10	19	4	1	25.00%	5	1	80.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
6	Chicago Wolves	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	6	10	0	0	66	68	44	5	25	458	456	401	10	33	16	10	32	0	0	0%	5	2	60.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
7	Chicoutimi Saguenéens	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	66	68	44	5	39	458	456	401	10	29	7	2	25	4	0	0.00%	1	1	0.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
8	Connecticut Whale	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	66	68	44	5	29	458	456	401	10	25	14	6	27	2	0	0.00%	3	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
9	Gatineau Olympiques	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	66	68	44	5	35	458	456	401	10	32	11	6	22	3	2	66.67%	3	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
10	Grand Rapids Griffins	2	2	0	0	0	0	0	0	13	3	10	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	7	1	6	4	1.000	13	24	37	0	0	66	68	44	5	80	458	456	401	10	49	15	6	41	7	2	28.57%	3	1	66.67%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
11	Henderson Silver Knights	2	1	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	5	8	13	0	0	66	68	44	5	66	458	456	401	10	60	25	16	32	8	1	12.50%	8	1	87.50%	1	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
12	Houston Aeros	2	2	0	0	0	0	0	0	12	3	9	2	2	0	0	0	0	0	0	12	3	9	0	0	0	0	0	0	0	0	0	0	0	4	1.000	12	20	32	0	0	66	68	44	5	73	458	456	401	10	56	21	14	46	13	7	53.85%	7	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
13	Joliette Sportif	3	2	1	0	0	0	0	0	16	7	9	1	1	0	0	0	0	0	0	8	2	6	2	1	1	0	0	0	0	0	8	5	3	4	0.667	16	29	45	0	0	66	68	44	5	92	458	456	401	10	78	42	10	74	11	5	45.45%	5	1	80.00%	1	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
14	Laval Chiefs	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	66	68	44	5	38	458	456	401	10	42	12	4	13	5	1	20.00%	2	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
15	Manitoba Moose	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	11	17	0	0	66	68	44	5	28	458	456	401	10	24	8	2	20	1	0	0.00%	1	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
16	Milwaukee Admirals	4	0	3	0	1	0	0	0	11	18	-7	0	0	0	0	0	0	0	0	0	0	0	4	0	3	0	1	0	0	0	11	18	-7	2	0.250	11	21	32	0	0	66	68	44	5	130	458	456	401	10	121	47	30	104	17	2	11.76%	15	7	53.33%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
17	Norfolk Admirals	1	1	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	12	20	0	0	66	68	44	5	31	458	456	401	10	28	8	12	16	6	4	66.67%	6	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
18	Portland Crying Chiwawas	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	66	68	44	5	34	458	456	401	10	37	19	4	20	1	0	0.00%	2	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
19	Quebec Stars	1	1	0	0	0	0	0	0	9	5	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	9	5	4	2	1.000	9	15	24	0	0	66	68	44	5	32	458	456	401	10	37	7	8	15	5	2	40.00%	4	2	50.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
20	Rochester Americans	2	2	0	0	0	0	0	0	10	5	5	2	2	0	0	0	0	0	0	10	5	5	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	17	27	0	0	66	68	44	5	65	458	456	401	10	73	28	16	50	3	2	66.67%	8	2	75.00%	1	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
21	San Antonio Rampage	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	6	11	17	0	0	66	68	44	5	71	458	456	401	10	71	29	16	30	7	1	14.29%	8	0	100.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
22	San Jose Barracuda	1	1	0	0	0	0	0	0	8	1	7	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	1	7	2	1.000	8	14	22	0	0	66	68	44	5	36	458	456	401	10	35	14	4	17	3	2	66.67%	2	1	50.00%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
23	Springfield Falcons	3	1	1	0	0	0	1	0	10	9	1	2	1	1	0	0	0	0	0	5	5	0	1	0	0	0	0	0	1	0	5	4	1	4	0.667	10	14	24	0	0	66	68	44	5	88	458	456	401	10	100	38	26	58	10	3	30.00%	13	2	84.62%	0	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
	Total	40	23	12	0	2	1	2	0	182	121	61	22	15	4	0	1	1	1	0	103	58	45	18	8	8	0	1	0	1	0	79	63	16	55	0.688	182	310	492	0	0	66	68	44	5	1319	458	456	401	10	1236	469	273	856	136	44	32.35%	132	29	78.03%	3	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
	_Since Last GM Reset	40	23	12	0	2	1	2	0	182	121	61	22	15	4	0	1	1	1	0	103	58	45	18	8	8	0	1	0	1	0	79	63	16	55	0.688	182	310	492	0	0	66	68	44	5	1319	458	456	401	10	1236	469	273	856	136	44	32.35%	132	29	78.03%	3	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302
	_Vs Conference	21	13	6	0	1	0	1	0	89	55	34	13	9	3	0	1	0	0	0	55	33	22	8	4	3	0	0	0	1	0	34	22	12	30	0.714	89	149	238	0	0	66	68	44	5	689	458	456	401	10	650	256	146	424	72	25	34.72%	73	10	86.30%	2	414	810	51.11%	387	803	48.19%	306	568	53.87%	911	593	894	317	607	302

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
40	55	W2	182	310	492	1319	1236	469	273	856	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	23	12	2	1	2	0	182	121

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	15	4	1	1	1	0	103	58

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	8	8	1	0	1	0	79	63

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
136	44	32.35%	132	29	78.03%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
458	456	401	10	66	68	44	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
414	810	51.11%	387	803	48.19%	306	568	53.87%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
911	593	894	317	607	302

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
Day:2
2	14	Rochester Americans	3	Wilkes-Barre/Scranton Penguins	4	W			BoxScore
Day:4
4	26	Wilkes-Barre/Scranton Penguins	2	Milwaukee Admirals	6	L			BoxScore
Day:6
6	42	Rochester Americans	2	Wilkes-Barre/Scranton Penguins	6	W			BoxScore
Day:9
9	65	Wilkes-Barre/Scranton Penguins	1	Charlotte Checkers	3	L			BoxScore
Day:12
12	80	Norfolk Admirals	2	Wilkes-Barre/Scranton Penguins	8	W			BoxScore
Day:15
15	96	Wilkes-Barre/Scranton Penguins	4	Milwaukee Admirals	5	L			BoxScore
Day:17
17	112	Chicago Wolves	5	Wilkes-Barre/Scranton Penguins	4	L	X		BoxScore
Day:18
18	124	Wilkes-Barre/Scranton Penguins	1	Milwaukee Admirals	4	L			BoxScore
Day:20
20	145	Joliette Sportif	2	Wilkes-Barre/Scranton Penguins	8	W			BoxScore
Day:22
22	160	Wilkes-Barre/Scranton Penguins	7	Albany Devils	1	W			BoxScore
Day:24
24	175	Houston Aeros	2	Wilkes-Barre/Scranton Penguins	8	W			BoxScore
Day:26
26	188	Wilkes-Barre/Scranton Penguins	7	Grand Rapids Griffins	1	W			BoxScore
Day:27
27	206	Wilkes-Barre/Scranton Penguins	6	Manitoba Moose	1	W			BoxScore
Day:29
29	221	Springfield Falcons	2	Wilkes-Barre/Scranton Penguins	1	L			BoxScore
Day:31
31	239	Wilkes-Barre/Scranton Penguins	7	Joliette Sportif	1	W			BoxScore
Day:33
33	253	Bridgeport Sound Tigers	2	Wilkes-Barre/Scranton Penguins	1	L			BoxScore
Day:38
38	277	Springfield Falcons	3	Wilkes-Barre/Scranton Penguins	4	W			BoxScore
Day:41
41	302	Wilkes-Barre/Scranton Penguins	8	San Jose Barracuda	1	W			BoxScore
Day:42
42	313	Blainville-Boisbriand Armada	5	Wilkes-Barre/Scranton Penguins	6	W	X	X	BoxScore
Day:45
45	335	Wilkes-Barre/Scranton Penguins	9	Quebec Stars	5	W			BoxScore
Day:46
46	344	Bridgeport Sound Tigers	8	Wilkes-Barre/Scranton Penguins	3	L			BoxScore
Day:50
50	370	Wilkes-Barre/Scranton Penguins	1	Joliette Sportif	4	L			BoxScore
Day:51
51	379	Laval Chiefs	2	Wilkes-Barre/Scranton Penguins	5	W			BoxScore
Day:54
54	406	Grand Rapids Griffins	2	Wilkes-Barre/Scranton Penguins	6	W			BoxScore
Day:55
55	417	Wilkes-Barre/Scranton Penguins	4	Milwaukee Admirals	3	W	X		BoxScore
Day:57
57	436	Binghamton Senators	1	Wilkes-Barre/Scranton Penguins	4	W			BoxScore
Day:60
60	464	Portland Crying Chiwawas	4	Wilkes-Barre/Scranton Penguins	5	W	X		BoxScore
Day:63
63	486	Wilkes-Barre/Scranton Penguins	5	Springfield Falcons	4	W	X	X	BoxScore
Day:64
64	500	San Antonio Rampage	1	Wilkes-Barre/Scranton Penguins	4	W			BoxScore
Day:68
68	515	Wilkes-Barre/Scranton Penguins	4	Blainville-Boisbriand Armada	8	L			BoxScore
Day:69
69	531	Chicoutimi Saguenéens	1	Wilkes-Barre/Scranton Penguins	5	W			BoxScore
Day:72
72	549	Wilkes-Barre/Scranton Penguins	6	Blainville-Boisbriand Armada	4	W			BoxScore
Day:73
73	565	Gatineau Olympiques	2	Wilkes-Barre/Scranton Penguins	6	W			BoxScore
Day:75
75	576	Wilkes-Barre/Scranton Penguins	2	San Antonio Rampage	5	L			BoxScore
Day:78
78	598	Connecticut Whale	2	Wilkes-Barre/Scranton Penguins	3	W			BoxScore
Day:82
82	621	Wilkes-Barre/Scranton Penguins	4	Albany Devils	1	W			BoxScore
Day:83
83	631	Blainville-Boisbriand Armada	5	Wilkes-Barre/Scranton Penguins	4	L			BoxScore
Day:86
86	654	Wilkes-Barre/Scranton Penguins	1	Henderson Silver Knights	6	L			BoxScore
Day:89
89	665	Henderson Silver Knights	1	Wilkes-Barre/Scranton Penguins	4	W			BoxScore
Day:94
94	695	Houston Aeros	1	Wilkes-Barre/Scranton Penguins	4	W			BoxScore
Day:96
96	712	Wilkes-Barre/Scranton Penguins	-	Portland Crying Chiwawas	-
Day:97
97	726	Rochester Americans	-	Wilkes-Barre/Scranton Penguins	-
Day:99
99	743	Wilkes-Barre/Scranton Penguins	-	Rochester Americans	-
Day:101
101	754	Wilkes-Barre/Scranton Penguins	-	Houston Aeros	-
Day:103
103	769	Manitoba Moose	-	Wilkes-Barre/Scranton Penguins	-
Day:106
106	791	Wilkes-Barre/Scranton Penguins	-	Bridgeport Sound Tigers	-
Day:107
107	799	Chicago Wolves	-	Wilkes-Barre/Scranton Penguins	-
Day:110
110	824	Wilkes-Barre/Scranton Penguins	-	Roberval Dwarfs	-
Day:111
111	835	The Nuuk Vikings	-	Wilkes-Barre/Scranton Penguins	-
Day:114
114	855	Wilkes-Barre/Scranton Penguins	-	Grand Rapids Griffins	-
Day:115
115	865	Lake Erie Monsters	-	Wilkes-Barre/Scranton Penguins	-
Day:118
118	892	San Jose Barracuda	-	Wilkes-Barre/Scranton Penguins	-
Day:120
120	900	Wilkes-Barre/Scranton Penguins	-	Danbury Trashers	-
Day:124
124	920	Wilkes-Barre/Scranton Penguins	-	Hamilton Bulldogs	-
Day:125
125	931	Trois-Rivières Lions	-	Wilkes-Barre/Scranton Penguins	-
Day:128
128	959	Norfolk Admirals	-	Wilkes-Barre/Scranton Penguins	-
Day:129
129	969	Wilkes-Barre/Scranton Penguins	-	Verdun Junior	-
Day:131
131	985	Wilkes-Barre/Scranton Penguins	-	Connecticut Whale	-
Day:132
132	994	Charlotte Checkers	-	Wilkes-Barre/Scranton Penguins	-
Day:136
136	1026	Charlotte Checkers	-	Wilkes-Barre/Scranton Penguins	-
Day:137
137	1031	Wilkes-Barre/Scranton Penguins	-	Binghamton Senators	-
Day:141
Trade Deadline --- Trades can’t be done after this day is simulated!
141	1056	Danbury Trashers	-	Wilkes-Barre/Scranton Penguins	-
Day:143
143	1068	Wilkes-Barre/Scranton Penguins	-	Manitoba Moose	-
Day:144
144	1075	Wilkes-Barre/Scranton Penguins	-	Verdun Junior	-
Day:147
147	1090	Wilkes-Barre/Scranton Penguins	-	Norfolk Admirals	-
Day:148
148	1099	Chisinau Pelicans	-	Wilkes-Barre/Scranton Penguins	-
Day:151
151	1117	Wilkes-Barre/Scranton Penguins	-	Providence Bruins	-
Day:152
152	1130	Rochester Americans	-	Wilkes-Barre/Scranton Penguins	-
Day:155
155	1151	Wilkes-Barre/Scranton Penguins	-	Binghamton Senators	-
Day:156
156	1163	Providence Bruins	-	Wilkes-Barre/Scranton Penguins	-
Day:159
159	1180	Wilkes-Barre/Scranton Penguins	-	Manitoba Moose	-
Day:161
161	1193	Wilkes-Barre/Scranton Penguins	-	Charlotte Checkers	-
Day:162
162	1205	Norfolk Admirals	-	Wilkes-Barre/Scranton Penguins	-
Day:165
165	1224	Wilkes-Barre/Scranton Penguins	-	Norfolk Admirals	-
Day:167
167	1236	San Jose Barracuda	-	Wilkes-Barre/Scranton Penguins	-
Day:170
170	1257	Wilkes-Barre/Scranton Penguins	-	Charlotte Checkers	-
Day:171
171	1261	Wilkes-Barre/Scranton Penguins	-	Danbury Trashers	-
Day:173
173	1273	Gatineau Olympiques	-	Wilkes-Barre/Scranton Penguins	-
Day:174
174	1278	Wilkes-Barre/Scranton Penguins	-	Milwaukee Admirals	-
Day:177
177	1298	Wilkes-Barre/Scranton Penguins	-	Milwaukee Admirals	-
Day:178
178	1312	Albany Devils	-	Wilkes-Barre/Scranton Penguins	-
Day:184
184	1347	Albany Devils	-	Wilkes-Barre/Scranton Penguins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses

Wilkes-Barre/Scranton Penguins Players 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

Wilkes-Barre/Scranton Penguins 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

Wilkes-Barre/Scranton Penguins 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

Wilkes-Barre/Scranton Penguins Players 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	PSG	PSS

Wilkes-Barre/Scranton Penguins Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA



	WC Home Main STHS Client League File ProToday's Games FarmToday's Games Today's Transactions Search League News Management Upload Lines Web Client Email General Manager Today's Information Teams Pro Team Eastern Conference Boston Bruins Buffalo Sabres Carolina Hurricanes Columbus Blue Jackets Florida Panthers Montreal Canadiens New Jersey Devils New York Islanders New York Rangers Ottawa Senators Philadelphia Flyers Pittsburgh Penguins Quebec Nordiques Tampa Bay Lightning Toronto Maple Leafs Washington Capitals Western Conference Anaheim Ducks Calgary Flames Chicago Blackhawks Colorado Avalanche Dallas Stars Detroit Red Wings Edmonton Oilers Los Angeles Kings Minnesota Wild Nashville Predators San Jose Sharks Seattle Kraken St. Louis Blues Utah Hockey Club Vancouver Canucks Vegas Golden Knights Winnipeg Jets Farm Team Hamel Binghamton Senators Blainville-Boisbriand Armada Chicago Wolves Chicoutimi Saguenéens Chisinau Pelicans Gatineau Olympiques Grand Rapids Griffins Hamilton Bulldogs Joliette Sportif Lake Erie Monsters Laval Chiefs Milwaukee Admirals Quebec Stars Roberval Dwarfs The Nuuk Vikings Trois-Rivières Lions Verdun Junior Fortunus Albany Devils Bridgeport Sound Tigers Charlotte Checkers Connecticut Whale Danbury Trashers Henderson Silver Knights Houston Aeros Manitoba Moose Norfolk Admirals Portland Crying Chiwawas Providence Bruins Rochester Americans San Antonio Rampage San Jose Barracuda Springfield Falcons Wilkes-Barre/Scranton Penguins Pro League Standing Schedule Players Leader Goalies Leader Individual Leaders All Players Stats All Goalies Stats Teams Stats Finance Power Ranking Farm League Standing Schedule Players Leader Goalies Leader Individual Leaders All Players Stats All Goalies Stats Teams Stats Finance Power Ranking League Entry Draft Projection Coaches Transactions Waivers Team/GM Trade History Prospects RSS Feed Unassigned Players Goalies Available For Trade Players Goalies Compares Players Players Goalies Free Agents Players Goalies Retire Players Players Goalies Records League Records Team Records Search Legacy Pages Coaches Free Agents Pro All Players Stats Pro Individual Leaders Pro Leaders Pro Power Ranking Pro Standing Pro Team Lines Pro Team PlayersInfo Pro Team Roster Pro Team Schedule Pro Team Scoring Pro Team Stats Pro Team Stats VS Rerate Difference Schedule Team Finance Team History Team Injury Suspension Team Prospects Teams And GM Info Today Games Today Transactions Trade History Transactions Unassigned Waivers Help Latest STHS Client STHS Client Manual Log in

	Wilkes-Barre/Scranton Penguins
	GP: 40 \| W: 27 \| L: 12 \| OTL: 1 \| P: 55 GF: 182 \| GA: 121 \| PP%: 32.35% \| PK%: 78.03% GM : Yannick Vézina-Roy / Félix Julien \| Morale : 50 \| Team Overall : N/A Next Games #712 vs Portland Crying Chiwawas