Please rotate your device to landscape mode for a better experience.
Login

Ice Bats
GP: 27 | W: 9 | L: 12 | OTL: 6 | P: 24
GF: 99 | GA: 124 | PP%: 19.05% | PK%: 86.79%
GM : Graham Remocaldo | Morale : 36 | Team Overall : 58
Next Games #301 vs Butter Knives

Game Center
Ice Bats
9-12-6, 24pts
4
FINAL
6 Tomahawks
18-6-2, 38pts
Team Stats
L2StreakW2
4-8-1Home Record10-4-0
5-4-5Home Record8-2-2
2-5-3Last 10 Games8-2-0
3.67Goals Per Game5.69
4.59Goals Against Per Game4.65
19.05%Power Play Percentage18.31%
86.79%Penalty Kill Percentage76.67%
Ice Bats
9-12-6, 24pts
0
FINAL
5 Lynx
17-10-0, 34pts
Team Stats
L2StreakW2
4-8-1Home Record9-5-0
5-4-5Home Record8-5-0
2-5-3Last 10 Games6-4-0
3.67Goals Per Game4.63
4.59Goals Against Per Game3.59
19.05%Power Play Percentage30.51%
86.79%Penalty Kill Percentage91.18%
Butter Knives
13-10-2, 28pts
Day 61
Ice Bats
9-12-6, 24pts
Team Stats
SOL1StreakL2
9-4-1Home Record4-8-1
4-6-1Away Record5-4-5
6-2-2Last 10 Games2-5-3
4.64Goals Per Game3.67
5.16Goals Against Per Game3.67
15.87%Power Play Percentage19.05%
72.00%Penalty Kill Percentage86.79%
Nordiks
16-12-1, 33pts
Day 64
Ice Bats
9-12-6, 24pts
Team Stats
W2StreakL2
6-7-0Home Record4-8-1
10-5-1Away Record5-4-5
6-4-0Last 10 Games2-5-3
5.59Goals Per Game3.67
5.07Goals Against Per Game3.67
29.31%Power Play Percentage19.05%
71.95%Penalty Kill Percentage86.79%
Ice Bats
9-12-6, 24pts
Day 66
Aces
15-10-3, 33pts
Team Stats
L2StreakOTL1
4-8-1Home Record8-5-0
5-4-5Away Record7-5-3
2-5-3Last 10 Games5-4-1
3.67Goals Per Game3.25
4.59Goals Against Per Game3.25
19.05%Power Play Percentage23.53%
86.79%Penalty Kill Percentage84.29%
Team Leaders
Lawson CrouseGoals
Lawson Crouse
14
Nicolas HagueAssists
Nicolas Hague
29
Nicolas HaguePoints
Nicolas Hague
36
Lawson CrousePlus/Minus
Lawson Crouse
2
Jonathan QuickWins
Jonathan Quick
7
Jonathan QuickSave Percentage
Jonathan Quick
0.904

Team Stats
Goals For
99
3.67 GFG
Shots For
915
33.89 Avg
Power Play Percentage
19.0%
12 GF
Offensive Zone Start
35.6%
Goals Against
124
4.59 GAA
Shots Against
1246
46.15 Avg
Penalty Kill Percentage
86.8%%
7 GA
Defensive Zone Start
44.8%
Team Info

General ManagerGraham Remocaldo
CoachDerian Hatcher
DivisionPacific
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team18
Farm Team18
Contract Limit36 / 50
Prospects26


Filter Tips
PriorityTypeDescription
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
10textAny 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 SPAgeContractSalary
1Lawson CrouseXX100.008265846577739163536165655067670486402823,000,000$
2Joel FarabeeXX100.007062846866769265506563615061620436302531,500,000$
3Miles WoodX100.00706563627067616050605763507069049590301500,000$
4John Farinacci (R)X100.00533589587150515750516449526374043550241500,000$
5Dylan Duke (R)XX100.00513589586350505550505549515664045520222500,000$
6Justin HryckowianX100.00503589587050505050495049506163040510241500,000$
7Carson SoucyX100.00776076627672886750605473557474053660313750,000$
8Nicolas HagueX100.00767286628871826850605674566568045660262500,000$
9Jack Thompson (R)X100.00585883696867606950636166565962047610232500,000$
10Alexander AlexeyevX100.00555094578252545050505053556365040540263500,000$
Scratches
1Nils HoglanderXX100.00695780696670837150675961505962032620244500,000$
2Vasily PonomarevX100.00505685576350515050505053505862019510232975,000$
3Nolan FooteXX98.38565089587250515050505049506061034510254500,000$
4Ty MuellerX100.00504453576550515050505050505558020500223500,000$
5Ty SmithX100.00505975526350535050505051566363029510253500,000$
TEAM AVERAGE99.8961548161716065585056565852626503957
Filter Tips
PriorityTypeDescription
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
10textAny 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 SPAgeContractSalary
1Nico Daws98.0064636577645748585362505860033590242500,000$
2Pheonix Copley100.0050605977505050505050507474064560331500,000$
Scratches
1Jonathan Quick100.0070727178697371686854508787030700392500,000$
TEAM AVERAGE99.336165657761605659575550737404262
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Derian Hatcher8590958560701USA535500,000$


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP 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 FL FT S1 S2 S3
1Nicolas HagueIce Bats (DAL)D2772936-5235692661194411.48%6472326.782352250000037100%000001.0000010442
2Lawson CrouseIce Bats (DAL)LW/RW2714223624062481333711010.53%1763523.5503310530003280049.33%7500201.1312000364
3Joel FarabeeIce Bats (DAL)LW/RW27142135-101555244141441159.93%1864723.9732517540000470249.25%6700011.0812010432
4Carson SoucyIce Bats (DAL)D2782028-4140813059142213.56%5863223.435273456000044100%000000.8900000243
5Jack ThompsonIce Bats (DAL)D2742024-1716050407124515.63%7965824.401232648000039100%000000.7300000211
6Miles WoodIce Bats (DAL)LW27111324-3140533082245613.41%947117.4800045000042067.50%4000011.0200000224
7Nils HoglanderIce Bats (DAL)LW/RW1981220-8215303177155710.39%437019.520449350001160038.71%3100001.0801000201
8Dylan DukeIce Bats (DAL)C/LW278816-1220202961154313.11%652919.610116480000411153.55%15500010.6000000121
9John FarinacciIce Bats (DAL)C274913-2003644115269.76%556721.030335490000500052.15%81500000.4600000001
10Nolan FooteIce Bats (DAL)LW/RW27538-112035175218349.62%749418.31101348000091146.34%4100000.3200000020
11Justin HryckowianIce Bats (DAL)C27415-18005481531326.67%546517.24000180000110053.59%57100000.2100000100
12Ty MuellerIce Bats (DAL)C9224-3201214150313.33%311212.5400000000000047.79%13600000.7100000000
13Alexander AlexeyevIce Bats (DAL)D27134-16602913227144.55%4162523.1500074500003800100.00%100000.1300000000
14Ty SmithIce Bats (DAL)D17044-700443440%1528016.4800007000013000%000000.2900000000
15Vasily PonomarevIce Bats (DAL)C4101-3003951420.00%15213.1000000000000050.85%5900000.3800000001
Team Total or Average34691167258-1171191550844783824059610.86%332726821.0112203214451300043827452.13%199100230.7125020212420
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jonathan QuickIce Bats (DAL)227950.9044.42122220909370110.3333220201
2Nico DawsIce Bats (DAL)82210.8835.0032400272310001.0003527001
Team Total or Average3091160.9004.54154720117116801162727202


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alexander AlexeyevIce Bats (DAL)D261999-11-15RUSNo229 Lbs6 ft4NoNoFree AgentNoNo32025-07-30FalseFalsePro & Farm500,000$50,000$33,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Carson SoucyIce Bats (DAL)D311994-07-27CANNo208 Lbs6 ft5NoNoN/ANoNo32024-08-29FalseFalsePro & Farm750,000$75,000$50,417$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link / NHL Link
Dylan DukeIce Bats (DAL)C/LW222003-03-04USAYes177 Lbs5 ft10NoNoFree AgentNoNo22025-07-30FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
Jack ThompsonIce Bats (DAL)D232002-03-19CANYes189 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
Joel FarabeeIce Bats (DAL)LW/RW252000-02-25USANo186 Lbs6 ft0NoNoN/ANoNo32024-08-14FalseFalsePro & Farm1,500,000$150,000$100,833$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Link / NHL Link
John FarinacciIce Bats (DAL)C242001-02-14USAYes197 Lbs5 ft11NoNoFree AgentNoNo12025-08-11FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Link / NHL Link
Jonathan QuickIce Bats (DAL)G391986-01-21USANo220 Lbs6 ft1NoNoFree AgentNoNo22025-08-11FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
Justin HryckowianIce Bats (DAL)C242001-02-23CANNo195 Lbs5 ft11NoNoFree AgentNoNo12025-08-11FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Link / NHL Link
Lawson CrouseIce Bats (DAL)LW/RW281997-06-23CANNo214 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm3,000,000$300,000$201,667$No3,000,000$--------3,000,000$--------No--------Link / NHL Link
Miles WoodIce Bats (DAL)LW301995-09-13USANo195 Lbs6 ft2NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Link / NHL Link
Nico DawsIce Bats (DAL)G242000-12-22CANNo205 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
Nicolas HagueIce Bats (DAL)D261998-12-05CANNo245 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
Nils HoglanderIce Bats (DAL)LW/RW242000-12-20SWENo185 Lbs5 ft9NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$33,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Nolan FooteIce Bats (DAL)LW/RW252000-11-29USANo196 Lbs6 ft3NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$33,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Pheonix CopleyIce Bats (DAL)G331992-01-18USANo205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Link / NHL Link
Ty MuellerIce Bats (DAL)C222003-02-26CANNo185 Lbs5 ft11NoNoFree AgentNoNo32025-08-19FalseFalsePro & Farm500,000$50,000$33,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Ty SmithIce Bats (DAL)D252000-03-24CANNo180 Lbs5 ft11NoNoFree AgentNoNo32025-07-30FalseFalsePro & Farm500,000$50,000$33,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Vasily PonomarevIce Bats (DAL)C232002-03-13RUSNo180 Lbs5 ft10NoNoTrade2025-07-23NoNo22024-09-05FalseFalsePro & Farm975,000$97,500$65,542$No975,000$--------975,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1826.33200 Lbs6 ft12.28734,722$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Miles WoodJohn FarinacciLawson Crouse35122
2Justin HryckowianJoel Farabee32122
3Dylan Duke23122
4Joel FarabeeLawson Crouse10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas HagueCarson Soucy40122
2Jack ThompsonAlexander Alexeyev30122
3Nicolas Hague20122
4Alexander AlexeyevJack Thompson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joel FarabeeJohn FarinacciLawson Crouse60122
2Dylan Duke40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas HagueCarson Soucy60122
2Jack ThompsonAlexander Alexeyev40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1John FarinacciJoel Farabee60122
2Dylan Duke40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas HagueCarson Soucy60122
2Jack ThompsonAlexander Alexeyev40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1John Farinacci60122Nicolas HagueCarson Soucy60122
2Dylan Duke40122Jack ThompsonAlexander Alexeyev40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1John FarinacciJoel Farabee60122
2Dylan Duke40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas HagueCarson Soucy60122
2Jack ThompsonAlexander Alexeyev40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joel FarabeeJohn FarinacciLawson CrouseNicolas HagueCarson Soucy
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joel FarabeeJohn FarinacciLawson CrouseNicolas HagueCarson Soucy
Extra Forwards
Normal PowerPlayPenalty Kill
John Farinacci, Dylan Duke, John Farinacci, Dylan DukeJohn Farinacci
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack Thompson, Alexander Alexeyev, Jack ThompsonJack Thompson, Alexander Alexeyev
Penalty Shots
Lawson Crouse, Joel Farabee, , Miles Wood, John Farinacci
Goalie
#1 : , #2 : Nico Daws


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# 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
1Americiens1010000027-5000000000001010000027-500.00023500343430234301321274245913627100.00%2150.00%044887851.03%570110551.58%25248651.85%685487616178339178
2Barons1010000023-11010000023-10000000000000.0002350034343022130132127424258820000%40100.00%044887851.03%570110551.58%25248651.85%685487616178339178
3Barracuda1010000013-21010000013-20000000000000.00011200343430228301321274242312420300.00%20100.00%044887851.03%570110551.58%25248651.85%685487616178339178
4Butter Knives1010000027-5000000000001010000027-500.000246003434302323013212742456204213133.33%20100.00%044887851.03%570110551.58%25248651.85%685487616178339178
5Canucks11000000422110000004220000000000021.00047110034343023730132127424233411300.00%20100.00%044887851.03%570110551.58%25248651.85%685487616178339178
6Firebirds1000010034-1000000000001000010034-110.50036900343430228301321274244791927200.00%20100.00%044887851.03%570110551.58%25248651.85%685487616178339178
7Griffins311000011415-11010000046-221000001109130.50014253900343430211230132127424162478678225.00%40100.00%044887851.03%570110551.58%25248651.85%685487616178339178
8Lions521002002528-3211000001013-3310002001515060.60025477200343430216930132127424269722810014535.71%14192.86%044887851.03%570110551.58%25248651.85%685487616178339178
9Lynx1010000005-5000000000001010000005-500.0000000034343022630132127424314011100.00%000%044887851.03%570110551.58%25248651.85%685487616178339178
10Nordiks523000001822-4413000001218-61100000064240.40018335100343430218530132127424233732310115213.33%9455.56%044887851.03%570110551.58%25248651.85%685487616178339178
11Roadrunners1000010023-11000010023-10000000000010.5002460034343022730132127424357524200.00%000%044887851.03%570110551.58%25248651.85%685487616178339178
12Tomahawks521001102219310000010651421001001614270.700223759003434302176301321274242296622987114.29%100100.00%044887851.03%570110551.58%25248651.85%685487616178339178
13Wranglers1010000046-21010000046-20000000000000.0004711103434302403013212742454154294125.00%2150.00%044887851.03%570110551.58%25248651.85%685487616178339178
Total278120051199124-251338001104559-141454004015465-11240.44499177276103434302915301321274241246349135556631219.05%53786.79%044887851.03%570110551.58%25248651.85%685487616178339178
_Since Last GM Reset278120051199124-251338001104559-141454004015465-11240.44499177276103434302915301321274241246349135556631219.05%53786.79%044887851.03%570110551.58%25248651.85%685487616178339178
_Vs Conference2289003119098-81238000104356-1310510030147425220.50090160250103434302768301321274241018296101446541120.37%47687.23%044887851.03%570110551.58%25248651.85%685487616178339178
_Vs Division1776003117178-7925000103445-118510030137334200.58871127198103434302591301321274248102348534840922.50%39684.62%044887851.03%570110551.58%25248651.85%685487616178339178

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2724L299177276915124634913555610
All Games
GPWLOTWOTL SOWSOLGFGA
27812051199124
Home Games
GPWLOTWOTL SOWSOLGFGA
133801104559
Visitor Games
GPWLOTWOTL SOWSOLGFGA
145404015465
Last 10 Games
WLOTWOTL SOWSOL
250300
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
631219.05%53786.79%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
301321274243434302
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
44887851.03%570110551.58%25248651.85%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
685487616178339178


Last Played Games
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
39Nordiks5Ice Bats3LBoxScore
413Ice Bats3Tomahawks2WBoxScore
624Ice Bats5Tomahawks1WBoxScore
940Nordiks6Ice Bats1LBoxScore
1149Ice Bats4Lions5LXBoxScore
1359Lions8Ice Bats3LBoxScore
1468Ice Bats4Tomahawks5LXBoxScore
1780Griffins6Ice Bats4LBoxScore
1992Nordiks5Ice Bats3LBoxScore
21102Ice Bats6Griffins4WBoxScore
25120Wranglers6Ice Bats4LBoxScore
28132Ice Bats6Nordiks4WBoxScore
30142Tomahawks5Ice Bats6WXXBoxScore
33160Nordiks2Ice Bats5WBoxScore
36172Ice Bats7Lions5WBoxScore
38180Barracuda3Ice Bats1LBoxScore
40190Ice Bats4Griffins5LXXBoxScore
43200Barons3Ice Bats2LBoxScore
45211Ice Bats3Firebirds4LXBoxScore
47222Canucks2Ice Bats4WBoxScore
49236Ice Bats4Lions5LXBoxScore
50243Ice Bats2Americiens7LBoxScore
52251Roadrunners3Ice Bats2LXBoxScore
54265Ice Bats2Butter Knives7LBoxScore
55273Lions5Ice Bats7WBoxScore
58288Ice Bats4Tomahawks6LBoxScore
59295Ice Bats0Lynx5LBoxScore
61301Butter Knives-Ice Bats-
64318Nordiks-Ice Bats-
66327Ice Bats-Aces-
69340Admirals-Ice Bats-
71355Ice Bats-Quacken-
72360Canucks-Ice Bats-
75371Ice Bats-Griffins-
77382Ice Bats-Butter Knives-
78388Fighting Pandas-Ice Bats-
80399Ice Bats-Wombats-
81409Tomahawks-Ice Bats-
84423Ice Bats-Wranglers-
86433Griffins-Ice Bats-
89445Ice Bats-Admirals-
91453Barons-Ice Bats-
94468Ice Bats-Admirals-
96475Americiens-Ice Bats-
98488Ice Bats-Broncos-
100495Aces-Ice Bats-
101504Ice Bats-Aces-
104519Lions-Ice Bats-
107536Ice Bats-Wranglers-
108542Wombats-Ice Bats-
110557Wranglers-Ice Bats-
113571Ice Bats-Nordiks-
114580Wombats-Ice Bats-
117590Ice Bats-Barracuda-
119601Ice Bats-Tomahawks-
120607Broncos-Ice Bats-
123624Bruins-Ice Bats-
124633Ice Bats-Marlies-
126644Wranglers-Ice Bats-
130659Ice Bats-Bruins-
132670Tomahawks-Ice Bats-
135687Aces-Ice Bats-
138699Ice Bats-Roadrunners-
139710Marlies-Ice Bats-
141720Ice Bats-Barracuda-
144730Ice Bats-Quacken-
146737Barracuda-Ice Bats-
148755Firebirds-Ice Bats-
149761Ice Bats-Barons-
152777Griffins-Ice Bats-
154784Ice Bats-Barons-
156797Barracuda-Ice Bats-
158805Ice Bats-Canucks-
161819Quacken-Ice Bats-
163828Ice Bats-Roadrunners-
164833Ice Bats-Nordiks-
167845Quacken-Ice Bats-
169858Ice Bats-Fighting Pandas-
171867Americiens-Ice Bats-
172873Ice Bats-Canucks-
176885Lynx-Ice Bats-
177892Ice Bats-Fighting Pandas-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
28 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
597,097$ 1,322,500$ 1,322,500$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,322,500$ 433,195$ 18 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 121 10,125$ 1,225,125$




Ice Bats Players Stat Leaders (Regular Season)

# 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

Ice Bats Goalies Stat Leaders (Regular Season)

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

Ice Bats Career Team Stats

OverallHomeVisitor
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

Ice Bats Players Stat Leaders (Play-Off)

# 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

Ice Bats Goalies Stat Leaders (Play-Off)

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