Day : 100

MTL - 5
TOR - 1

SJS - 3
MIN - 1

FLA - 5
CHI - 1

WPG - 1
EDM - 5

VEG - 7
DET - 1

OTT - 2
QUE - 7

PHI - 2
BOS - 5

VAN - 1
CGY - 3

NSH - 5
COL - 3

NJD - 2
CLB - 9

BRI - 5
CHP - 7

QUE - 2
CHI - 3

VER - 3
MIL - 6

ALB - 2
TRL - 6

SJS - 1
PAR - 6

LAV - 4
CTW - 3

CHI - 2
JOL - 6

NUU - 3
HAM - 10

SAR - 2
PRO - 3

POR - 5
GRG - 6

Day : 101

(10-35-5) - L2
(17-25-6) - L1

(24-21-4) - W1
(31-15-2) - W7

(12-31-6) - OTL1
(25-20-4) - W1

(31-15-3) - W11
(35-10-4) - L1

(26-20-4) - W2
(29-17-3) - W2

(30-12-1) - W5
(30-28-1) - W2

(27-19-1) - W4
(27-20-2) - L1

(34-7-4) - W11
(34-31-0) - L1

(18-24-4) - W1
(18-27-5) - W1

(17-20-7) - L2
(17-28-5) - L2

(17-21-7) - L1
(17-21-3) - L1

(19-21-5) - L1
(19-12-1) - W4

(16-24-4) - L1
(16-26-4) - L7

(29-10-6) - W5
(29-23-2) - L3

(34-6-6) - W3
(34-13-5) - L2

(26-15-4) - L1
(26-23-5) - L3

Game Center
	Hamilton Bulldogs 37-10-0, 74pts	3	FINAL	1	Norfolk Admirals 14-26-4, 32pts

Team Stats
W11	Streak	L7
20-3-0	Home Record	7-14-2
17-7-0	Home Record	7-12-2
10-0-0	Last 10 Games	1-9-0
4.36	Goals Per Game	2.93
2.40	Goals Against Per Game	4.25
25.49%	Power Play Percentage	16.22%
88.60%	Penalty Kill Percentage	70.66%

The Nuuk Vikings
23-19-3, 49pts

3

FINAL

10

Hamilton Bulldogs
37-10-0, 74pts

Team Stats
L1	Streak	W11
11-9-3	Home Record	20-3-0
12-10-0	Home Record	17-7-0
4-5-1	Last 10 Games	10-0-0
3.91	Goals Per Game	4.36
3.84	Goals Against Per Game	2.40
26.26%	Power Play Percentage	25.49%
83.58%	Penalty Kill Percentage	88.60%

Hamilton Bulldogs
37-10-0, 74pts

Day 103

Verdun Junior
17-21-7, 41pts

Team Stats
W11	Streak	L1
20-3-0	Home Record	10-7-6
17-7-0	Away Record	7-14-1
10-0-0	Last 10 Games	2-5-3
4.36	Goals Per Game	3.69
2.40	Goals Against Per Game	3.69
25.49%	Power Play Percentage	20.25%
88.60%	Penalty Kill Percentage	76.84%

Blainville-Boisbriand Armada
34-7-4, 72pts

Day 105

Hamilton Bulldogs
37-10-0, 74pts

Team Stats
W11	Streak	W11
19-1-3	Home Record	20-3-0
15-6-1	Away Record	17-7-0
10-0-0	Last 10 Games	10-0-0
5.49	Goals Per Game	4.36
3.20	Goals Against Per Game	4.36
30.49%	Power Play Percentage	25.49%
75.91%	Penalty Kill Percentage	88.60%

Laval Chiefs
29-12-1, 59pts

Day 108

Hamilton Bulldogs
37-10-0, 74pts

Team Stats
W4	Streak	W11
18-5-0	Home Record	20-3-0
11-7-1	Away Record	17-7-0
7-3-0	Last 10 Games	10-0-0
4.26	Goals Per Game	4.36
3.14	Goals Against Per Game	4.36
22.05%	Power Play Percentage	25.49%
78.11%	Penalty Kill Percentage	88.60%

Team Leaders
	Goals Jack McBain 28	Assists Oskar Steen 36

	Points Jack McBain 60	Plus/Minus Keaton Middleton 31

	Wins Samu Perhonen 26	Save Percentage Samu Perhonen 0.924

Team Stats
Goals For 205 4.36 GFG	Shots For 1522 32.38 Avg	Power Play Percentage 25.5% 39 GF	Offensive Zone Start 36.0%
Goals Against 113 2.40 GAA	Shots Against 1469 31.26 Avg	Penalty Kill Percentage 88.6%% 22 GA	Defensive Zone Start 38.7%

Team Info
	General Manager	Félix Julien
	Coach	Kevin Dineen
	Division	Damphousse
	Conference	Hamel
	Captain	Dominik Masin
	Assistant #1	Marco Rossi
	Assistant #2	Keaton Middleton
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	20
	Contract Limit	46 / 50
	Prospects	32

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	Andrej Nestrasil	X	X	X		100.00	63	25	99	75	76	76	72	77	77	71	70	66	74	83	82	1	50	0		0	33	1	1,000,000$
2	Janne Kuokkanen	X	X			100.00	64	30	94	83	80	85	82	80	73	74	74	67	75	84	79	6	50	0		0	26	2	1,900,000$
3	Oskar Steen	X		X		100.00	80	40	83	85	81	86	85	81	73	74	72	66	73	78	75	5	50	0		0	26	1	1,250,000$
4	Shane Pinto (R)	X				98.00	82	42	79	84	81	84	83	81	78	76	75	72	72	73	72	7	50	0		0	24	3	1,633,333$
5	Jack McBain (R)	X	X			100.00	79	40	77	81	83	83	82	82	75	75	76	68	75	74	77	7	50	0		0	24	2	950,000$
6	Jakub Lauko (R)	X	X	X		100.00	90	40	79	85	84	87	75	78	76	73	72	69	71	84	82	6	50	0		0	24	2	975,000$
7	Ridly Greig (R)	X	X			98.00	83	45	75	83	80	86	81	83	72	75	75	71	79	72	75	7	50	0		0	22	3	925,000$
8	Marco Rossi (R) (A)	X				100.00	65	35	81	81	74	84	79	81	72	76	73	69	81	72	70	8	50	0		0	23	1	900,000$
9	Adam Edström (R)	X	X	X		100.00	86	30	80	77	93	81	79	76	74	70	72	66	70	67	64	5	50	0		0	24	1	900,000$
10	Jonah Gadjovich		X			100.00	96	75	71	78	84	82	73	77	67	73	73	67	68	80	82	5	50	0		0	26	1	1,000,000$
11	Will Cuylle (R)		X			100.00	78	40	78	76	84	78	84	77	71	72	73	67	74	67	67	6	50	0		0	22	1	925,000$
12	Anthony Camara		X	X		100.00	94	45	79	79	84	82	79	79	73	73	73	72	79	93	92	1	50	0		0	31	1	1,850,000$
13	Brett Lernout				X	98.00	96	45	75	77	92	84	81	78	50	72	70	92	64	84	85	6	50	0	N	0	29	2	1,950,000$
14	Libor Hájek				X	98.00	81	45	84	79	85	80	81	79	50	73	61	87	58	83	78	6	50	0		0	26	1	1,000,000$
15	Dominik Masin (C)				X	98.00	85	40	79	79	84	82	82	78	50	75	65	90	64	83	82	6	50	0		0	28	1	1,999,999$
16	Marc Del Gaizo (R)				X	100.00	69	25	78	79	71	79	74	77	52	72	64	85	65	72	74	6	50	0		0	25	2	1,000,000$
17	Alex Lintuniemi				X	100.00	84	40	83	74	86	78	74	75	50	72	62	89	57	70	70	5	50	0		0	29	1	1,800,000$
18	Keaton Middleton (A)				X	99.00	87	40	73	74	89	79	80	73	50	70	69	90	60	83	86	5	50	0		0	26	1	1,000,000$
Scratches
1	Martin Chromiak (R)		X	X		100.00	67	25	87	79	80	83	84	77	65	72	71	67	77	69	63	6	50	0		0	22	2	850,000$
2	Dominic Toninato	X	X	X		100.00	84	47	80	80	83	78	72	80	74	72	72	69	73	82	82	1	50	0		0	30	1	950,000$
3	Logan O'Connor			X		100.00	73	40	91	84	73	82	74	80	65	73	72	67	72	82	78	5	50	0		0	28	1	1,500,000$
4	Michal Teply (R)		X	X		100.00	68	30	89	80	78	78	83	77	70	71	71	65	79	75	67	6	50	0		0	23	3	850,000$
5	Connor Clifton				X	83.10	86	46	78	76	85	77	75	76	50	70	66	88	62	73	73	5	50	0	N	0	29	2	1,750,000$

	TEAM AVERAGE					98.78	80	40	81	79	82	81	79	78	66	73	70	74	71	78	76	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	Mason McDonald	100.00	88	83	84	88	91	88	87	88	87	89	84	71	72	6	50	0	N	0	28	2	1,600,000$
2	Samu Perhonen	98.00	89	82	82	94	90	87	88	90	89	88	87	69	72	1	50	0		0	31	1	1,850,000$
Scratches
1	Olivier Roy	100.00	84	78	80	83	89	86	85	85	86	86	86	81	84	1	50	0		0	33	1	1,100,000$

	TEAM AVERAGE	99.33	87	81	82	88	90	87	87	88	87	88	86	74	76	3	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kevin Dineen	82	84	80	81	80	84	70	CAN	60	1	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	Jack McBain	C/LW	43	28	32	60	30	32	0	66	30	134	44	82	20.90%	9	681	15.85	5	8	13	24	105	0	0	0	0	1	6	1	49.71%	521	67	4	0	1	1.76	0	1	0	8	3	3
2	Ridly Greig	C/LW	47	26	31	57	26	28	0	69	27	143	43	109	18.18%	16	886	18.85	8	6	14	30	125	2	0	2	5	108	3	3	48.08%	52	81	14	0	0	1.29	0	2	0	8	3	6
3	Oskar Steen	C/RW	47	14	36	50	21	16	0	56	24	116	40	75	12.07%	3	768	16.35	4	10	14	18	128	0	0	0	0	0	5	0	56.67%	30	89	3	0	0	1.30	1	1	0	0	5	2
4	Marco Rossi	C	47	16	29	45	9	14	0	24	34	114	44	72	14.04%	6	762	16.23	4	15	19	24	126	0	0	0	1	31	3	0	49.76%	621	64	8	0	0	1.18	0	1	0	1	4	1
5	Brett Lernout	D	47	17	18	35	28	64	0	94	101	84	24	38	20.24%	86	1111	23.66	5	7	12	22	129	0	0	0	2	188	2	2	0.00%	0	7	69	0	0	0.63	0	0	0	4	0	3
6	Will Cuylle	LW	47	17	18	35	14	14	0	43	21	83	30	46	20.48%	11	630	13.40	1	2	3	8	49	0	0	0	0	0	4	1	45.83%	24	37	7	0	1	1.11	0	1	0	2	1	3
7	Dominik Masin	D	47	2	30	32	29	28	0	72	87	78	29	24	2.56%	77	1078	22.94	1	5	6	25	123	0	0	0	1	124	1	0	0.00%	0	1	55	0	0	0.59	0	0	0	1	2	2
8	Anthony Camara	LW/RW	43	15	17	32	11	16	0	72	34	79	26	51	18.99%	14	726	16.90	2	1	3	6	26	1	1	2	10	174	2	1	37.50%	32	50	11	0	0	0.88	0	1	0	1	2	4
9	Jakub Lauko	C/LW/RW	47	12	19	31	23	20	0	90	35	93	41	57	12.90%	19	831	17.70	1	3	4	12	72	2	3	5	8	168	3	1	56.01%	291	48	8	0	0	0.75	0	1	0	2	1	0
10	Connor Clifton	D	42	4	27	31	27	38	0	48	78	71	39	35	5.63%	59	827	19.70	2	4	6	15	112	0	0	0	0	1	0	1	0.00%	0	0	39	0	0	0.75	0	0	0	1	0	1
11	Janne Kuokkanen	C/LW	47	13	16	29	15	0	0	10	28	100	30	61	13.00%	12	638	13.59	3	2	5	9	59	1	0	1	1	15	2	2	42.17%	83	74	10	0	0	0.91	0	1	0	0	4	1
12	Shane Pinto	C	28	8	15	23	10	12	0	43	31	42	16	34	19.05%	10	531	18.98	2	3	5	6	48	0	1	1	3	128	1	0	50.00%	500	20	15	0	0	0.87	0	0	0	2	3	1
13	Adam Edström	C/LW/RW	47	6	13	19	14	12	0	41	19	57	23	45	10.53%	9	490	10.45	0	1	1	0	14	0	0	0	0	0	2	0	50.98%	102	41	6	0	0	0.77	0	0	0	0	1	0
14	Jonah Gadjovich	LW	47	11	8	19	14	30	0	75	19	73	23	46	15.07%	5	427	9.10	0	0	0	0	0	0	0	0	0	0	1	0	35.29%	17	41	4	0	0	0.89	0	0	0	0	3	0
15	Keaton Middleton	D	47	7	11	18	31	28	0	67	91	56	29	38	12.50%	90	966	20.55	1	1	2	3	33	1	2	3	3	200	1	0	0.00%	0	10	65	0	0	0.37	0	0	0	0	0	3
16	Libor Hájek	D	47	1	14	15	17	8	0	42	101	63	26	27	1.59%	59	922	19.62	0	0	0	0	0	0	2	2	0	155	0	0	0.00%	0	3	52	0	0	0.33	0	0	0	0	0	1
17	Marc Del Gaizo	D	47	0	12	12	9	20	0	23	67	48	18	21	0.00%	44	674	14.35	0	4	4	7	68	0	0	0	0	2	0	0	0.00%	0	2	28	0	0	0.36	0	0	0	0	0	0
18	Andrej Nestrasil	C/LW/RW	43	4	7	11	15	0	0	4	36	44	18	30	9.09%	8	452	10.52	0	0	0	0	0	0	1	1	0	48	0	0	55.74%	235	26	5	0	0	0.49	0	1	0	0	0	0
19	Martin Chromiak	LW/RW	29	3	4	7	7	0	0	7	14	33	14	25	9.09%	5	275	9.51	0	0	0	0	0	0	0	0	0	2	0	0	37.50%	8	23	4	0	0	0.51	0	1	0	1	0	0
20	Dominic Toninato	C/LW/RW	1	0	0	0	0	0	0	1	1	3	0	0	0.00%	0	12	12.30	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0
21	Logan O'Connor	RW	1	0	0	0	0	0	0	1	0	2	1	0	0.00%	0	12	12.27	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	1	0	0	0	0.00	0	0	0	0	0	0
22	Alex Lintuniemi	D	5	0	0	0	2	0	0	1	5	6	2	1	0.00%	3	75	15.01	0	0	0	0	0	0	0	0	0	11	0	0	0.00%	0	2	3	0	0	0.00	0	0	0	0	0	0
Team Total or Average				846	204	357	561	352	380	0	949	883	1522	560	917	13.40%	545	13784	16.29	39	72	111	209	1225	7	10	17	34	1367	36	12	50.58%	2517	687	410	0	2	0.81	1	11	0	31	32	31

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	PCT	GAA	MP	PIM	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Samu Perhonen	Hamilton Bulldogs (EDM)	30	26	4	0.924	2.42	1809	2	73	960	521	3	1.000	9	30	17	3	4	3
2	Mason McDonald	Hamilton Bulldogs (EDM)	17	11	6	0.921	2.35	1020	2	40	509	280	0	0.000	0	17	30	1	1	2
Team Total or Average			47	37	10	0.923	2.40	2829	4	113	1469	801	3		9	47	47	4	5	5

Player Name	POS	Age	Birthday	Terms	Contract	Cap %	Year 2024	Year 2025	Year 2026	Year 2027	Year 2028	Year 2029	Year 2030
Forward
Adam Edström	C/LW/RW	24	2000-01-02	TW	1	0.00%	900,000$	RFA ( Groupe: 2 ) [Age: 25]
Andrej Nestrasil	C/LW/RW	33	1991-01-22	TW	1	0.00%	1,000,000$	UFA [Age: 34]
Anthony Camara	LW/RW	31	1993-01-22	TW	1	0.00%	1,850,000$	UFA [Age: 32]
Dominic Toninato	C/LW/RW	30	1994-01-02	TW	1	0.00%	950,000$	UFA [Age: 31]
Jack McBain	C/LW	24	2000-01-02	TW	2	0.00%	950,000$	950,000$	RFA ( Groupe: 2 ) [Age: 26]
Jakub Lauko	C/LW/RW	24	2000-01-02	TW	2	0.00%	975,000$	975,000$	RFA ( Groupe: 2 ) [Age: 26]
Janne Kuokkanen	C/LW	26	1998-01-02	TW	2	0.00%	1,900,000$	1,900,000$	UFA [Age: 28]
Jonah Gadjovich	LW	26	1998-01-02	TW	1	0.00%	1,000,000$	RFA ( Groupe: 2 ) [Age: 27]
Logan O'Connor	RW	28	1996-01-02	TW	1	0.00%	1,500,000$	UFA [Age: 29]
Marco Rossi	C	23	2001-01-02	TW	1	0.00%	900,000$	RFA ( Groupe: 2 ) [Age: 24]
Martin Chromiak	LW/RW	22	2002-01-02	TW	2	0.00%	850,000$	850,000$	RFA ( Groupe: 2 ) [Age: 24]
Michal Teply	LW/RW	23	2001-01-02	TW	3	0.00%	850,000$	850,000$	850,000$	RFA ( Groupe: 2 ) [Age: 26]
Oskar Steen	C/RW	26	1998-01-02	TW	1	0.00%	1,250,000$	RFA ( Groupe: 2 ) [Age: 27]
Ridly Greig	C/LW	22	2002-01-02	TW	3	0.00%	925,000$	925,000$	925,000$	RFA ( Groupe: 2 ) [Age: 25]
Shane Pinto	C	24	2000-01-02	TW	3	0.00%	1,500,000$	1,500,000$	1,900,000$	RFA ( Groupe: 2 ) [Age: 27]
Will Cuylle	LW	22	2002-01-02	TW	1	0.00%	925,000$	RFA ( Groupe: 1 )[Age: 23]
AVERAGE (16)		25.50				0.00%	0$	8,083,333$	3,408,333$	0$	0$	0$	0$
Defenseman
Alex Lintuniemi	D	29	1995-01-22	TW	1	0.00%	1,800,000$	UFA [Age: 30]
Brett Lernout	D	29	1995-01-22	NT TW	2	0.00%	1,950,000$	1,950,000$	UFA [Age: 31]
Connor Clifton	D	29	1995-01-22	NT IN TW	2	0.00%	1,750,000$	1,750,000$	UFA [Age: 31]
Dominik Masin	D	28	1996-01-22	TW	1	0.00%	1,999,999$	UFA [Age: 29]
Keaton Middleton	D	26	1998-01-02	TW	1	0.00%	1,000,000$	RFA ( Groupe: 2 ) [Age: 27]
Libor Hájek	D	26	1998-01-02	TW	1	0.00%	1,000,000$	RFA ( Groupe: 2 ) [Age: 27]
Marc Del Gaizo	D	25	1999-01-02	FV TW	2	0.00%	1,000,000$	1,000,000$	RFA ( Groupe: 2 ) [Age: 27]
AVERAGE (7)		27.43				0.00%	0$	4,700,000$	0$	0$	0$	0$	0$
Goalies
Mason McDonald	G	28	1996-01-22	NT TW	2	0.00%	1,600,000$	1,600,000$	UFA [Age: 30]
Olivier Roy	G	33	1991-01-22	TW	1	0.00%	1,100,000$	UFA [Age: 34]
Samu Perhonen	G	31	1993-01-22	TW	1	0.00%	1,850,000$	UFA [Age: 32]

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	Ridly Greig	Shane Pinto	Oskar Steen	33	0	1	4
2	Janne Kuokkanen	Jack McBain	Anthony Camara	30	1	1	3
3	Will Cuylle	Marco Rossi	Jakub Lauko	27	0	1	4
4	Jonah Gadjovich	Andrej Nestrasil	Adam Edström	10	2	2	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brett Lernout	Keaton Middleton	37	0	3	2
2	Dominik Masin	Libor Hájek	36	0	2	3
3	Alex Lintuniemi	Marc Del Gaizo	20	1	4	0
4	Keaton Middleton	Libor Hájek	7	1	4	0

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jack McBain	Marco Rossi	Oskar Steen	52	0	0	5
2	Janne Kuokkanen	Shane Pinto	Jakub Lauko	48	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ridly Greig	Dominik Masin	55	0	0	5
2	Brett Lernout	Marc Del Gaizo	45	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Shane Pinto	Ridly Greig	60	0	5	0
2	Jakub Lauko	Anthony Camara	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brett Lernout	Dominik Masin	60	0	5	0
2	Alex Lintuniemi	Libor Hájek	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Shane Pinto	50	0	5	0	Brett Lernout	Libor Hájek	53	0	5	0
2	Anthony Camara	50	0	5	0	Alex Lintuniemi	Dominik Masin	47	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jack McBain	Oskar Steen	55	0	1	4
2	Janne Kuokkanen	Will Cuylle	45	1	1	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Keaton Middleton	Brett Lernout	60	0	2	3
2	Dominik Masin	Marc Del Gaizo	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Ridly Greig	Jack McBain	Oskar Steen	Dominik Masin	Brett Lernout

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Camara	Shane Pinto	Jakub Lauko	Alex Lintuniemi	Keaton Middleton

Extra Forwards
Normal	PowerPlay	Penalty Kill
Marco Rossi, Will Cuylle, Janne Kuokkanen	Will Cuylle, Janne Kuokkanen	Jakub Lauko

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Libor Hájek, Keaton Middleton, Alex Lintuniemi	Marc Del Gaizo	Keaton Middleton, Libor Hájek

Penalty Shots
Jack McBain, Ridly Greig, Marco Rossi, Janne Kuokkanen, Anthony Camara

Goalie
#1 : Samu Perhonen, #2 : Mason McDonald

Custom OT Lines Forwards
Jack McBain, Ridly Greig, Marco Rossi, Oskar Steen, Shane Pinto, Anthony Camara, Anthony Camara, Janne Kuokkanen, Will Cuylle, Jakub Lauko, Jonah Gadjovich

Custom OT Lines Defensemen
Dominik Masin, Brett Lernout, Libor Hájek, Marc Del Gaizo, Keaton Middleton

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	Binghamton Senators	4	3	1	0	0	0	0	0	17	7	10	3	3	0	0	0	0	0	0	17	6	11	1	0	1	0	0	0	0	0	0	1	-1	6	0.750	17	32	49	0	0	72	68	60	5	118	510	512	485	24	119	50	34	84	13	4	30.77%	17	2	88.24%	1	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
2	Blainville-Boisbriand Armada	2	0	2	0	0	0	0	0	4	13	-9	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	4	13	-9	0	0.000	4	7	11	0	0	72	68	60	5	63	510	512	485	24	79	22	22	45	7	1	14.29%	10	3	70.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
3	Charlotte Checkers	2	1	1	0	0	0	0	0	8	7	1	2	1	1	0	0	0	0	0	8	7	1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	8	14	22	0	0	72	68	60	5	69	510	512	485	24	80	22	12	41	3	1	33.33%	7	0	100.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
4	Chicago Wolves	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	9	14	0	0	72	68	60	5	29	510	512	485	24	26	8	6	28	4	1	25.00%	3	1	66.67%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
5	Chicoutimi Saguenéens	2	1	0	0	1	0	0	0	10	4	6	1	1	0	0	0	0	0	0	6	1	5	1	0	0	0	1	0	0	0	4	3	1	4	1.000	10	20	30	0	0	72	68	60	5	66	510	512	485	24	49	23	12	45	6	2	33.33%	6	2	66.67%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
6	Chisinau Pelicans	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	4	2	2	2	0.500	6	10	16	0	0	72	68	60	5	63	510	512	485	24	63	19	12	38	7	1	14.29%	6	1	83.33%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
7	Connecticut Whale	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	72	68	60	5	27	510	512	485	24	25	9	12	21	3	0	0.00%	6	1	83.33%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
8	Danbury Trashers	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	72	68	60	5	29	510	512	485	24	23	11	6	19	4	0	0.00%	3	0	100.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
9	Gatineau Olympiques	3	3	0	0	0	0	0	0	15	5	10	2	2	0	0	0	0	0	0	12	3	9	1	1	0	0	0	0	0	0	3	2	1	6	1.000	15	26	41	0	0	72	68	60	5	98	510	512	485	24	85	38	20	54	10	1	10.00%	10	1	90.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
10	Grand Rapids Griffins	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	6	10	0	0	72	68	60	5	34	510	512	485	24	28	8	6	21	5	2	40.00%	3	1	66.67%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
11	Henderson Silver Knights	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	7	11	0	0	72	68	60	5	25	510	512	485	24	29	11	14	15	4	2	50.00%	7	1	85.71%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
12	Houston Aeros	1	1	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	9	2	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	17	26	0	0	72	68	60	5	40	510	512	485	24	31	15	4	17	4	3	75.00%	2	0	100.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
13	Joliette Sportif	4	3	0	0	1	0	0	0	24	8	16	1	1	0	0	0	0	0	0	8	1	7	3	2	0	0	1	0	0	0	16	7	9	8	1.000	24	44	68	0	0	72	68	60	5	142	510	512	485	24	129	52	28	74	12	7	58.33%	14	0	100.00%	1	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
14	Lake Erie Monsters	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	6	10	0	0	72	68	60	5	33	510	512	485	24	34	19	4	18	1	0	0.00%	2	0	100.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
15	Norfolk Admirals	4	4	0	0	0	0	0	0	14	6	8	1	1	0	0	0	0	0	0	5	1	4	3	3	0	0	0	0	0	0	9	5	4	8	1.000	14	22	36	0	0	72	68	60	5	130	510	512	485	24	118	42	34	76	14	5	35.71%	17	1	94.12%	1	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
16	Portland Crying Chiwawas	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	72	68	60	5	28	510	512	485	24	38	11	12	23	3	0	0.00%	6	0	100.00%	1	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
17	Providence Bruins	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	3	5	0	0	72	68	60	5	20	510	512	485	24	48	14	14	10	1	0	0.00%	7	1	85.71%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
18	Quebec Stars	3	2	1	0	0	0	0	0	14	8	6	2	2	0	0	0	0	0	0	12	4	8	1	0	1	0	0	0	0	0	2	4	-2	4	0.667	14	25	39	0	0	72	68	60	5	111	510	512	485	24	97	33	26	65	5	1	20.00%	13	0	100.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
19	Roberval Dwarfs	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	72	68	60	5	31	510	512	485	24	32	6	10	11	3	1	33.33%	5	1	80.00%	1	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
20	Rochester Americans	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	2	4	0	0	72	68	60	5	32	510	512	485	24	27	14	10	24	5	0	0.00%	5	1	80.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
21	San Antonio Rampage	2	1	0	0	1	0	0	0	10	4	6	2	1	0	0	1	0	0	0	10	4	6	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	18	28	0	0	72	68	60	5	67	510	512	485	24	63	24	16	44	6	2	33.33%	8	1	87.50%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
22	San Jose Barracuda	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	10	16	0	0	72	68	60	5	30	510	512	485	24	33	5	12	21	5	0	0.00%	7	0	100.00%	1	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
23	Springfield Falcons	3	3	0	0	0	0	0	0	11	5	6	0	0	0	0	0	0	0	0	0	0	0	3	3	0	0	0	0	0	0	11	5	6	6	1.000	11	18	29	0	0	72	68	60	5	95	510	512	485	24	89	45	30	67	11	2	18.18%	15	1	93.33%	1	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
24	The Nuuk Vikings	1	1	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	10	3	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	17	27	0	0	72	68	60	5	33	510	512	485	24	35	13	8	24	1	0	0.00%	4	2	50.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
25	Verdun Junior	3	2	0	0	0	0	1	0	12	5	7	1	1	0	0	0	0	0	0	4	1	3	2	1	0	0	0	0	1	0	8	4	4	6	1.000	12	19	31	0	0	72	68	60	5	109	510	512	485	24	89	31	20	64	16	3	18.75%	10	1	90.00%	0	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
	Total	47	32	10	0	4	0	1	0	205	113	92	23	19	3	0	1	0	0	0	125	49	76	24	13	7	0	3	0	1	0	80	64	16	74	0.787	205	357	562	0	0	72	68	60	5	1522	510	512	485	24	1469	545	384	949	153	39	25.49%	193	22	88.60%	7	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
	_Since Last GM Reset	47	32	10	0	4	0	1	0	205	113	92	23	19	3	0	1	0	0	0	125	49	76	24	13	7	0	3	0	1	0	80	64	16	74	0.787	205	357	562	0	0	72	68	60	5	1522	510	512	485	24	1469	545	384	949	153	39	25.49%	193	22	88.60%	7	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
	_Vs Conference	28	19	5	0	3	0	1	0	132	71	61	14	13	1	0	0	0	0	0	82	30	52	14	6	4	0	3	0	1	0	50	41	9	46	0.821	132	234	366	0	0	72	68	60	5	930	510	512	485	24	865	322	208	571	90	24	26.67%	103	15	85.44%	3	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344
	_Vs Division	9	12	3	0	2	0	1	0	30	22	8	5	8	0	0	0	0	0	0	15	15	0	4	4	3	0	2	0	1	0	15	7	8	30	1.667	30	51	81	0	0	72	68	60	5	283	510	512	485	24	280	106	72	186	28	4	14.29%	37	3	91.89%	1	455	902	50.44%	489	971	50.36%	329	636	51.73%	1087	711	1047	372	697	344

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
47	74	W11	205	357	562	1522	1469	545	384	949	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
47	32	10	4	0	1	0	205	113

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	19	3	1	0	0	0	125	49

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	13	7	3	0	1	0	80	64

Last 10 Games
W	L	OTW	OTL	SOW	SOL
10	0	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
153	39	25.49%	193	22	88.60%	7

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
510	512	485	24	72	68	60	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
455	902	50.44%	489	971	50.36%	329	636	51.73%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1087	711	1047	372	697	344

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:1
1	3	Binghamton Senators	2	Hamilton Bulldogs	4	W			BoxScore
Day:2
2	18	Hamilton Bulldogs	3	Joliette Sportif	2	W	X		BoxScore
Day:5
5	32	Hamilton Bulldogs	5	Springfield Falcons	2	W			BoxScore
Day:8
8	53	Charlotte Checkers	2	Hamilton Bulldogs	5	W			BoxScore
Day:9
9	70	Hamilton Bulldogs	2	Quebec Stars	4	L			BoxScore
Day:12
12	87	Quebec Stars	2	Hamilton Bulldogs	5	W			BoxScore
Day:13
13	92	Hamilton Bulldogs	3	Springfield Falcons	1	W			BoxScore
Day:16
16	106	Hamilton Bulldogs	4	Verdun Junior	3	W	X	X	BoxScore
Day:17
17	115	Hamilton Bulldogs	3	Norfolk Admirals	2	W			BoxScore
Day:19
19	129	Gatineau Olympiques	1	Hamilton Bulldogs	6	W			BoxScore
Day:21
21	151	Hamilton Bulldogs	4	Lake Erie Monsters	1	W			BoxScore
Day:23
23	165	Charlotte Checkers	5	Hamilton Bulldogs	3	L			BoxScore
Day:25
25	187	San Antonio Rampage	2	Hamilton Bulldogs	7	W			BoxScore
Day:27
27	204	Hamilton Bulldogs	4	Henderson Silver Knights	1	W			BoxScore
Day:29
29	222	Binghamton Senators	2	Hamilton Bulldogs	6	W			BoxScore
Day:30
30	232	Hamilton Bulldogs	3	Springfield Falcons	2	W			BoxScore
Day:32
32	245	Hamilton Bulldogs	3	Norfolk Admirals	2	W			BoxScore
Day:35
35	263	Binghamton Senators	2	Hamilton Bulldogs	7	W			BoxScore
Day:38
38	273	Hamilton Bulldogs	5	Chicago Wolves	4	W	X		BoxScore
Day:39
39	291	Chicoutimi Saguenéens	1	Hamilton Bulldogs	6	W			BoxScore
Day:42
42	311	Hamilton Bulldogs	4	Chicoutimi Saguenéens	3	W	X		BoxScore
Day:44
44	321	Hamilton Bulldogs	1	Blainville-Boisbriand Armada	7	L			BoxScore
Day:45
45	334	Danbury Trashers	2	Hamilton Bulldogs	4	W			BoxScore
Day:47
47	356	Hamilton Bulldogs	3	Blainville-Boisbriand Armada	6	L			BoxScore
Day:49
49	363	Chisinau Pelicans	4	Hamilton Bulldogs	2	L			BoxScore
Day:52
52	393	Norfolk Admirals	1	Hamilton Bulldogs	5	W			BoxScore
Day:53
53	402	Hamilton Bulldogs	9	Joliette Sportif	3	W			BoxScore
Day:55
55	415	Hamilton Bulldogs	0	Binghamton Senators	1	L			BoxScore
Day:56
56	429	San Jose Barracuda	1	Hamilton Bulldogs	6	W			BoxScore
Day:58
58	451	Gatineau Olympiques	2	Hamilton Bulldogs	6	W			BoxScore
Day:60
60	465	Hamilton Bulldogs	4	Verdun Junior	1	W			BoxScore
Day:62
62	474	Hamilton Bulldogs	2	Portland Crying Chiwawas	4	L			BoxScore
Day:63
63	491	Hamilton Bulldogs	2	Providence Bruins	5	L			BoxScore
Day:65
65	501	Connecticut Whale	2	Hamilton Bulldogs	1	L			BoxScore
Day:69
69	524	Quebec Stars	2	Hamilton Bulldogs	7	W			BoxScore
Day:71
71	540	Hamilton Bulldogs	2	Rochester Americans	3	L			BoxScore
Day:72
72	557	San Antonio Rampage	2	Hamilton Bulldogs	3	W	X		BoxScore
Day:76
76	588	Verdun Junior	1	Hamilton Bulldogs	4	W			BoxScore
Day:78
78	605	Hamilton Bulldogs	4	Chisinau Pelicans	2	W			BoxScore
Day:81
81	618	Hamilton Bulldogs	4	Joliette Sportif	2	W			BoxScore
Day:82
82	625	Houston Aeros	2	Hamilton Bulldogs	9	W			BoxScore
Day:86
86	657	Roberval Dwarfs	4	Hamilton Bulldogs	7	W			BoxScore
Day:92
92	686	Joliette Sportif	1	Hamilton Bulldogs	8	W			BoxScore
Day:95
95	704	Hamilton Bulldogs	3	Gatineau Olympiques	2	W			BoxScore
Day:97
97	719	Grand Rapids Griffins	3	Hamilton Bulldogs	4	W			BoxScore
Day:99
99	738	Hamilton Bulldogs	3	Norfolk Admirals	1	W			BoxScore
Day:100
100	751	The Nuuk Vikings	3	Hamilton Bulldogs	10	W			BoxScore
Day:103
103	773	Hamilton Bulldogs	-	Verdun Junior	-
Day:105
105	786	Blainville-Boisbriand Armada	-	Hamilton Bulldogs	-
Day:108
108	811	Laval Chiefs	-	Hamilton Bulldogs	-
Day:110
110	829	Hamilton Bulldogs	-	Trois-Rivières Lions	-
Day:111
111	842	Hamilton Bulldogs	-	Springfield Falcons	-
Day:113
113	850	Hamilton Bulldogs	-	Milwaukee Admirals	-
Day:114
114	854	Trois-Rivières Lions	-	Hamilton Bulldogs	-
Day:117
117	882	Bridgeport Sound Tigers	-	Hamilton Bulldogs	-
Day:119
119	898	Hamilton Bulldogs	-	The Nuuk Vikings	-
Day:121
121	908	Hamilton Bulldogs	-	Manitoba Moose	-
Day:124
124	920	Wilkes-Barre/Scranton Penguins	-	Hamilton Bulldogs	-
Day:127
127	943	Hamilton Bulldogs	-	Trois-Rivières Lions	-
Day:128
128	956	The Nuuk Vikings	-	Hamilton Bulldogs	-
Day:130
130	977	Hamilton Bulldogs	-	Chicoutimi Saguenéens	-
Day:131
131	988	Chicago Wolves	-	Hamilton Bulldogs	-
Day:135
135	1012	Hamilton Bulldogs	-	Albany Devils	-
Day:136
136	1020	Laval Chiefs	-	Hamilton Bulldogs	-
Day:141
Trade Deadline --- Trades can’t be done after this day is simulated!
141	1050	Binghamton Senators	-	Hamilton Bulldogs	-
Day:144
144	1076	Roberval Dwarfs	-	Hamilton Bulldogs	-
Day:146
146	1084	Hamilton Bulldogs	-	Lake Erie Monsters	-
Day:150
150	1110	Milwaukee Admirals	-	Hamilton Bulldogs	-
Day:151
151	1122	Hamilton Bulldogs	-	Grand Rapids Griffins	-
Day:153
153	1140	Charlotte Checkers	-	Hamilton Bulldogs	-
Day:158
158	1170	Binghamton Senators	-	Hamilton Bulldogs	-
Day:162
162	1197	Manitoba Moose	-	Hamilton Bulldogs	-
Day:163
163	1218	Hamilton Bulldogs	-	Roberval Dwarfs	-
Day:166
166	1228	Lake Erie Monsters	-	Hamilton Bulldogs	-
Day:169
169	1253	Hamilton Bulldogs	-	Roberval Dwarfs	-
Day:171
171	1262	Trois-Rivières Lions	-	Hamilton Bulldogs	-
Day:172
172	1265	Hamilton Bulldogs	-	Laval Chiefs	-
Day:176
176	1293	Henderson Silver Knights	-	Hamilton Bulldogs	-
Day:177
177	1296	Hamilton Bulldogs	-	Quebec Stars	-
Day:179
179	1320	Hamilton Bulldogs	-	Henderson Silver Knights	-
Day:182
182	1332	Hamilton Bulldogs	-	Quebec Stars	-
Day:183
183	1345	Charlotte Checkers	-	Hamilton Bulldogs	-

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

Hamilton Bulldogs 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

Hamilton Bulldogs 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

Hamilton Bulldogs 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

Hamilton Bulldogs 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

Hamilton Bulldogs 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

	Hamilton Bulldogs
	GP: 47 \| W: 37 \| L: 10 \| OTL: 0 \| P: 74 GF: 205 \| GA: 113 \| PP%: 25.49% \| PK%: 88.60% GM : Félix Julien \| Morale : 50 \| Team Overall : N/A Next Games #773 vs Verdun Junior