Adirondack Phantoms
GP: 10 | W: 8 | L: 2 | OTL: 0 | P: 16
GF: 28 | GA: 18 | PP%: 16.07% | PK%: 86.05%
GM : | Morale : 40 | Team Overall : 62
Next Games #165 vs Connecticut Whale
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Casey MittelstadtX100.0062398866778183647163626566636587406402210$
2Daniel CarrX100.0062428865738077636164646265776956406402910$
3Matthew HighmoreX100.0058388965707875667364626165676456406302410$
4Tanner KeroX100.0056468863708687617462586361756857406302810$
5Brendan WoodsX100.0073647358888786575356555958756857406202810$
6Chris StewartX100.0079488062896163595260586156827351406203310$
7Gemel SmithX100.0059458763727877626960615963716659406202610$
8Alex BroadhurstX100.0055428560708786586059565760736758406102710$
9Kieffer BellowsX100.0063508461768380595257605861636583406102210$
10Nikita JevpalovsX100.0066498860798789585356565760716659406102610$
11Evan BouchardX100.0064528366818587643063555948616386406402110$
12Mark AltX100.0065478959877674583057576053777957406302910$
13Robbie RussoX100.0059488761738789623060535648736753406302710$
14Jack DoughertyX100.0064498557808688553054535645676469406202410$
15Pierre-Olivier JosephX100.0061488559778584573056535846616380406202110$
16Joey LaleggiaX100.0053388660668788593058565450756856406102810$
17Kyle BurroughsX100.0059617656728789543053535745697559406102510$
Scratches
1Eric CornelX100.0064468657798992565355555856676471406002410$
2Ryan GroppX100.0064458659818482585457555658676472406002410$
3Mikey EyssimontX100.0059548158708789575355565458676452405902410$
4Brett GallantX100.0059586854738281525051535552807253405803210$
5Reese JohnsonX100.0061567654768584525551535654636165405702210$
6Dylan BlujusX100.0065498355827877543053535645716672406002710$
7Josh TevesX100.0052448454687473523051505345696558405702510$
TEAM AVERAGE100.00624884607683835848575658557067644061
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 SP
1Dan Vladar100.00767775867574767574767565696640730
2Artyom Zagidulin100.00727977767170727170727169735940710
Scratches
1Shane Starrett100.00647775866362646362646371755940660
TEAM AVERAGE100.0071787683706971706971706872614070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Cail MacLean70666863676282CAN434500,000$


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
1Casey MittelstadtAdirondack Phantoms (PHI)C1078155006142782325.93%023823.802246380002443050.00%15600001.2601000302
2Daniel CarrAdirondack Phantoms (PHI)LW1046106007211991421.05%125725.791123360000380141.67%9600000.7801000102
3Evan BouchardAdirondack Phantoms (PHI)D1027928014141061120.00%1524324.34123945000036100.00%000000.7400000001
4Tanner KeroAdirondack Phantoms (PHI)C10347-3603261831616.67%025025.021235470000220150.00%20000000.5601000100
5Brendan WoodsAdirondack Phantoms (PHI)LW1032501202861351523.08%220420.47011252000031062.50%800000.4911000101
6Chris StewartAdirondack Phantoms (PHI)RW10145660149127138.33%113213.28123337000000075.00%400000.7500000020
7Mark AltAdirondack Phantoms (PHI)D10145112075831112.50%720920.99112645000035000.00%000000.4800000010
8Robbie RussoAdirondack Phantoms (PHI)D10224320125941222.22%1421521.55112645000032100.00%000000.3700000010
9Alex BroadhurstAdirondack Phantoms (PHI)C10213220510122616.67%0898.96011210000060075.00%3600000.6700000000
10Gemel SmithAdirondack Phantoms (PHI)C10112-2002211349.09%0646.4610114000000153.70%5400000.6200000010
11Kieffer BellowsAdirondack Phantoms (PHI)LW100221607974120.00%014414.45000010000100043.75%1600000.2800000000
12Matthew HighmoreAdirondack Phantoms (PHI)C101121209815286.67%315815.81000000000241053.76%9300000.2501000010
13Nikita JevpalovsAdirondack Phantoms (PHI)RW10022-12085148120.00%020020.02000652000000041.67%1200000.2000000001
14Jack DoughertyAdirondack Phantoms (PHI)D1001101401255000.00%414414.420111200001000.00%000000.1400000000
15Joey LaleggiaAdirondack Phantoms (PHI)D10011040350110.00%415215.2100000000014000.00%000000.1300000000
16Pierre-Olivier JosephAdirondack Phantoms (PHI)D100113100947620.00%520820.86011745000028000.00%000000.1000000000
17Kyle BurroughsAdirondack Phantoms (PHI)D10000120200000.00%2393.970000100002000.00%000000.0000000000
Team Total or Average170274774258801481481877116014.44%58295417.38915245746600023037350.96%67500000.5015000667
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
1Dan VladarAdirondack Phantoms (PHI)108200.9021.7761102181840001.0005100101
Team Total or Average108200.9021.7761102181840001.0005100101


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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract 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 10Link
Alex BroadhurstAdirondack Phantoms (PHI)C273/7/1993No178 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Artyom ZagidulinAdirondack Phantoms (PHI)G258/8/1995No180 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Brendan WoodsAdirondack Phantoms (PHI)LW286/11/1992No210 Lbs6 ft4NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Brett GallantAdirondack Phantoms (PHI)LW3212/28/1988No191 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Casey MittelstadtAdirondack Phantoms (PHI)C2211/22/1998No199 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Chris StewartAdirondack Phantoms (PHI)RW3310/30/1987No242 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Dan VladarAdirondack Phantoms (PHI)G238/20/1997No185 Lbs6 ft5NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Daniel CarrAdirondack Phantoms (PHI)LW2911/1/1991No193 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Dylan BlujusAdirondack Phantoms (PHI)D271/22/1994No191 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Eric CornelAdirondack Phantoms (PHI)RW244/11/1996No195 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Evan BouchardAdirondack Phantoms (PHI)D2110/20/1999No194 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Gemel SmithAdirondack Phantoms (PHI)C264/16/1994No196 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Jack DoughertyAdirondack Phantoms (PHI)D245/25/1996No196 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Joey LaleggiaAdirondack Phantoms (PHI)D286/24/1992No182 Lbs5 ft9NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Josh TevesAdirondack Phantoms (PHI)D252/18/1995No170 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Kieffer BellowsAdirondack Phantoms (PHI)LW226/10/1998No195 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Kyle BurroughsAdirondack Phantoms (PHI)D257/12/1995No198 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Mark AltAdirondack Phantoms (PHI)D2910/18/1991No201 Lbs6 ft4NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Matthew HighmoreAdirondack Phantoms (PHI)C242/27/1996No188 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Mikey EyssimontAdirondack Phantoms (PHI)LW249/9/1996No180 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Nikita JevpalovsAdirondack Phantoms (PHI)RW269/9/1994No210 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Pierre-Olivier JosephAdirondack Phantoms (PHI)D217/1/1999No185 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Reese JohnsonAdirondack Phantoms (PHI)RW227/10/1998No193 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Robbie RussoAdirondack Phantoms (PHI)D272/15/1993No191 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Ryan GroppAdirondack Phantoms (PHI)LW249/16/1996No187 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Shane StarrettAdirondack Phantoms (PHI)G267/12/1994No181 Lbs6 ft5NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Tanner KeroAdirondack Phantoms (PHI)C287/24/1992No180 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.63192 Lbs6 ft11.000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Daniel CarrCasey MittelstadtChris Stewart40122
2Brendan WoodsTanner KeroNikita Jevpalovs30122
3Kieffer BellowsMatthew HighmoreDaniel Carr20122
4Casey MittelstadtGemel SmithTanner Kero10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Evan BouchardMark Alt40122
2Robbie RussoPierre-Olivier Joseph30122
3Jack DoughertyJoey Laleggia20122
4Kyle BurroughsEvan Bouchard10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Daniel CarrCasey MittelstadtChris Stewart60122
2Brendan WoodsTanner KeroNikita Jevpalovs40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Evan BouchardMark Alt60122
2Robbie RussoPierre-Olivier Joseph40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Daniel CarrCasey Mittelstadt60122
2Tanner KeroMatthew Highmore40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Evan BouchardMark Alt60122
2Robbie RussoPierre-Olivier Joseph40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Daniel Carr60122Evan BouchardMark Alt60122
2Casey Mittelstadt40122Robbie RussoPierre-Olivier Joseph40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Daniel CarrCasey Mittelstadt60122
2Tanner KeroMatthew Highmore40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Evan BouchardMark Alt60122
2Robbie RussoPierre-Olivier Joseph40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Daniel CarrCasey MittelstadtChris StewartEvan BouchardMark Alt
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Daniel CarrCasey MittelstadtChris StewartEvan BouchardMark Alt
Extra Forwards
Normal PowerPlayPenalty Kill
Alex Broadhurst, Gemel Smith, Kieffer BellowsAlex Broadhurst, Gemel SmithKieffer Bellows
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack Dougherty, Joey Laleggia, Kyle BurroughsJack DoughertyJoey Laleggia, Kyle Burroughs
Penalty Shots
Daniel Carr, Casey Mittelstadt, Tanner Kero, Matthew Highmore, Brendan Woods
Goalie
#1 : Dan Vladar, #2 : Artyom Zagidulin
Custom OT Lines Forwards
Daniel Carr, Casey Mittelstadt, Tanner Kero, Matthew Highmore, Brendan Woods, Chris Stewart, Chris Stewart, Gemel Smith, Kieffer Bellows, Nikita Jevpalovs, Alex Broadhurst
Custom OT Lines Defensemen
Evan Bouchard, Mark Alt, Robbie Russo, Pierre-Olivier Joseph, Jack Dougherty


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
1Bridgeport Sound Tigers10001000431000000000001000100043121.000471100710832457606312197817800.00%4175.00%015328154.45%12525249.60%6613349.62%2441682387412763
2Grand Rapids Griffins22000000808000000000002200000080841.00081422027108339576063123013122718316.67%60100.00%015328154.45%12525249.60%6613349.62%2441682387412763
3Hershey Bears1010000035-2000000000001010000035-200.0003580071083175760631219410185240.00%5180.00%015328154.45%12525249.60%6613349.62%2441682387412763
4Manchester Monarchs1010000003-31010000003-30000000000000.000000007108312576063122531016400.00%5180.00%015328154.45%12525249.60%6613349.62%2441682387412763
5Providence Bruins11000000321000000000001100000032121.000358007108315576063122031085120.00%5180.00%015328154.45%12525249.60%6613349.62%2441682387412763
6Springfield Falcons32000010844320000108440000000000061.00081321007108362576063125323264411218.18%12283.33%015328154.45%12525249.60%6613349.62%2441682387412763
7Worcester Sharks10001000211100010002110000000000021.0002350071083185760631218512185120.00%60100.00%015328154.45%12525249.60%6613349.62%2441682387412763
Total1052020102818105210101010825310100018108160.800284775027108318757606312184588814856916.07%43686.05%015328154.45%12525249.60%6613349.62%2441682387412763
_Since Last GM Reset1052020102818105210101010825310100018108160.800284775027108318757606312184588814856916.07%43686.05%015328154.45%12525249.60%6613349.62%2441682387412763
_Vs Conference83202010201825210101010823110100010100120.750203353007108314857606312154457612138615.79%37683.78%015328154.45%12525249.60%6613349.62%2441682387412763
_Vs Division3200101011290200001000030001000112981.333111930027108354576063125016223523417.39%11190.91%015328154.45%12525249.60%6613349.62%2441682387412763

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1016OTW1284775187184588814802
All Games
GPWLOTWOTL SOWSOLGFGA
105220102818
Home Games
GPWLOTWOTL SOWSOLGFGA
5211010108
Visitor Games
GPWLOTWOTL SOWSOLGFGA
53110001810
Last 10 Games
WLOTWOTL SOWSOL
522010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
56916.07%43686.05%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5760631271083
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
15328154.45%12525249.60%6613349.62%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2441682387412763


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
1 - 2021-01-051Springfield Falcons1Adirondack Phantoms3WBoxScore
4 - 2021-01-0818Adirondack Phantoms3Grand Rapids Griffins0WBoxScore
9 - 2021-01-1341Adirondack Phantoms3Hershey Bears5LBoxScore
10 - 2021-01-1446Adirondack Phantoms5Grand Rapids Griffins0WBoxScore
14 - 2021-01-1858Worcester Sharks1Adirondack Phantoms2WXBoxScore
18 - 2021-01-2283Manchester Monarchs3Adirondack Phantoms0LBoxScore
23 - 2021-01-27105Springfield Falcons2Adirondack Phantoms3WBoxScore
25 - 2021-01-29114Adirondack Phantoms3Providence Bruins2WBoxScore
28 - 2021-02-01132Springfield Falcons1Adirondack Phantoms2WXXBoxScore
30 - 2021-02-03142Adirondack Phantoms4Bridgeport Sound Tigers3WXBoxScore
35 - 2021-02-08165Connecticut Whale-Adirondack Phantoms-
37 - 2021-02-10178Adirondack Phantoms-Connecticut Whale-
40 - 2021-02-13192Adirondack Phantoms-Albany Devils-
44 - 2021-02-17207Bridgeport Sound Tigers-Adirondack Phantoms-
47 - 2021-02-20225Grand Rapids Griffins-Adirondack Phantoms-
52 - 2021-02-25253Adirondack Phantoms-Houston Aeros-
54 - 2021-02-27259Toronto Marlies-Adirondack Phantoms-
58 - 2021-03-03280Adirondack Phantoms-Chicago Wolves-
60 - 2021-03-05292Portland Pirates-Adirondack Phantoms-
62 - 2021-03-07303Adirondack Phantoms-Connecticut Whale-
64 - 2021-03-09316Adirondack Phantoms-Chicago Wolves-
66 - 2021-03-11322Adirondack Phantoms-Rochester Americans-
68 - 2021-03-13332Rockford IceHogs-Adirondack Phantoms-
70 - 2021-03-15345Adirondack Phantoms-Binghamton Senators-
72 - 2021-03-17359Adirondack Phantoms-Wilkes-Barre/Scranton Penguins-
73 - 2021-03-18368Chicago Wolves-Adirondack Phantoms-
76 - 2021-03-21383Adirondack Phantoms-Oklahoma City Barons-
79 - 2021-03-24397Adirondack Phantoms-Bridgeport Sound Tigers-
80 - 2021-03-25403Rochester Americans-Adirondack Phantoms-
84 - 2021-03-29426Adirondack Phantoms-Toronto Marlies-
86 - 2021-03-31432Wilkes-Barre/Scranton Penguins-Adirondack Phantoms-
91 - 2021-04-05460Abbotsford Heat-Adirondack Phantoms-
93 - 2021-04-07470Adirondack Phantoms-Worcester Sharks-
95 - 2021-04-09481Adirondack Phantoms-Texas Stars-
97 - 2021-04-11488Adirondack Phantoms-Hamilton Bulldogs-
98 - 2021-04-12495St. John's-Adirondack Phantoms-
101 - 2021-04-15513Adirondack Phantoms-Abbotsford Heat-
103 - 2021-04-17526San Antonio Rampage-Adirondack Phantoms-
105 - 2021-04-19544Adirondack Phantoms-Lake Erie Monsters-
108 - 2021-04-22558Texas Stars-Adirondack Phantoms-
114 - 2021-04-28586Charlotte Checkers-Adirondack Phantoms-
118 - 2021-05-02610Adirondack Phantoms-Rockford IceHogs-
120 - 2021-05-04618Lake Erie Monsters-Adirondack Phantoms-
127 - 2021-05-11645Connecticut Whale-Adirondack Phantoms-
130 - 2021-05-14662Adirondack Phantoms-Grand Rapids Griffins-
132 - 2021-05-16676Hershey Bears-Adirondack Phantoms-
135 - 2021-05-19689Adirondack Phantoms-San Antonio Rampage-
137 - 2021-05-21698Adirondack Phantoms-Portland Pirates-
139 - 2021-05-23710Providence Bruins-Adirondack Phantoms-
141 - 2021-05-25721Adirondack Phantoms-Charlotte Checkers-
144 - 2021-05-28737Adirondack Phantoms-Manchester Monarchs-
145 - 2021-05-29744Syracuse Crunch-Adirondack Phantoms-
150 - 2021-06-03761Adirondack Phantoms-Syracuse Crunch-
151 - 2021-06-04772Houston Aeros-Adirondack Phantoms-
155 - 2021-06-08794Adirondack Phantoms-Peoria Rivermen-
157 - 2021-06-10804Springfield Falcons-Adirondack Phantoms-
162 - 2021-06-15828Adirondack Phantoms-Grand Rapids Griffins-
163 - 2021-06-16837Hamilton Bulldogs-Adirondack Phantoms-
169 - 2021-06-22864Bridgeport Sound Tigers-Adirondack Phantoms-
171 - 2021-06-24880Adirondack Phantoms-Milwaukee Admirals-
174 - 2021-06-27895Peoria Rivermen-Adirondack Phantoms-
179 - 2021-07-02916Adirondack Phantoms-Springfield Falcons-
180 - 2021-07-03928Milwaukee Admirals-Adirondack Phantoms-
182 - 2021-07-05936Adirondack Phantoms-Hershey Bears-
186 - 2021-07-09958Binghamton Senators-Adirondack Phantoms-
189 - 2021-07-12972Adirondack Phantoms-Springfield Falcons-
192 - 2021-07-15989Worcester Sharks-Adirondack Phantoms-
196 - 2021-07-191014Adirondack Phantoms-Houston Aeros-
198 - 2021-07-211023Binghamton Senators-Adirondack Phantoms-
200 - 2021-07-231038Adirondack Phantoms-Providence Bruins-
202 - 2021-07-251051Worcester Sharks-Adirondack Phantoms-
204 - 2021-07-271060Adirondack Phantoms-Charlotte Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
205 - 2021-07-281067Adirondack Phantoms-Albany Devils-
208 - 2021-07-311084Oklahoma City Barons-Adirondack Phantoms-
212 - 2021-08-041110Adirondack Phantoms-Norfolk Admirals-
213 - 2021-08-051116Albany Devils-Adirondack Phantoms-
217 - 2021-08-091145Grand Rapids Griffins-Adirondack Phantoms-
218 - 2021-08-101149Adirondack Phantoms-St. John's-
223 - 2021-08-151177Albany Devils-Adirondack Phantoms-
230 - 2021-08-221206Chicago Wolves-Adirondack Phantoms-
238 - 2021-08-301239Manchester Monarchs-Adirondack Phantoms-
245 - 2021-09-061264Norfolk Admirals-Adirondack Phantoms-



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
36 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 215 2,024$ 435,160$




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
Regular Season
2016824028074212532391441171503411123131-84123130401013010822103253458711140100796526640833893908248772179019943465816.76%3385284.62%61438293548.99%1508289652.07%686132851.66%1947129219046451105556
201782263706652231248-1741131905220118112641131801432113136-238223140463512078657725400801843856256668876119532985217.45%2986279.19%21391283949.00%1445287050.35%656130750.19%1948132019516371078532
20188239290264228526223412212014201491212841171701222136141-598285511796210961077625930823924826257174274620123036421.12%3065482.35%11462285451.23%1405280650.07%717136952.37%1958132919276221079539
2019822333010574241258-1741101905232111123-1241131405342130135-58924142866923092656725380890775820288684460919262264921.68%2665180.83%01406284849.37%1502309148.59%634130148.73%1952134019806091067531
1105202010281810521010101082531010001810816284775027108318757606312184588814856916.07%43686.05%015328154.45%12525249.60%6613349.62%2441682387412763
Total Regular Season338133129027211991038102513169646601512935114951616969630129106527530-33881038184828866127376324288105225734073498342210694305329948033122923218.88%125122582.01%958501175749.76%59851191550.23%2759543850.74%805154498002258944592223
Playoff
20161156000002426-2541000001284615000001218-6102445690201049319094941283431031132695159.80%43686.05%018639946.62%18541045.12%8115651.92%2501632688814773
2018514000001323-1030300000613-721100000710-321324370002461660635844154484612016318.75%20575.00%010418855.32%9317951.96%438848.86%11778117386734
20191477000004150-9624000001423-985300000272701441781191101711124120137127144520157104335391128.21%43881.40%121845448.02%29660449.01%10321847.25%30720435710918188
Total Playoff301317000007899-211468000003244-121679000004655-92678147225130291927897029427931610173082637241061917.92%1061982.08%1508104148.80%574119348.11%22746249.13%675446743236396195