Syracuse Crunch
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Billy Lapointe | Morale : 90 | Team Overall : N/A
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Goals For
0
nan GFG
Shots For
0
nan Avg
Power Play Percentage
nan%
0 GF
Offensive Zone Start
nan%
Goals Against
0
nan GAA
Shots Against
0
nan Avg
Penalty Kill Percentage
nan%
0 GA
Defensive Zone Start
nan%
Team Info

General ManagerBilly Lapointe
DivisionNorth
ConferenceEastern
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendancenan
Season Tickets300


Roster Info

Pro Team23
Farm Team23
Contract Limit46 / 75
Prospects16


Team History

This Season0-0-0 (0PTS)
History169-166-27 (0.467%)
Playoff Appearances1
Playoff Record (W-L)14-6


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
1Jack BadiniX100.0066359353756974525451505352656309000231805,000$
2Austin CzarnikX100.0052359564677975667465676168776909000281725,000$
3Otto SomppiX100.0067368062797883637761595662656309000231750,000$
4Mackenzie MacEachernX100.0082438263786980655963646265736809000271900,000$
5Drake CaggiulaX100.0084467968677581666368677368736609000271750,000$
6Dominic TurgeonX100.0071359262808388597160586559687009000251750,000$
7Justin Barron (R)X100.0068458367688384633063596850636409000193925,000$
8Mac HollowellX100.0063438156636974563059545347656309000221799,766$
9Sean DurziX100.0062377863717883613062546047656309000221809,166$
10Calle RosenX100.0052388863758073623066576052736709000271750,000$
11Jacob MacDonaldX100.0076359366758582633070587452736809000281725,000$
12Peter DiLiberatoreX100.0061356658647669563054505345616309000212880,833$
13Mark PysykX100.0068398766777684653067706555777009000291900,000$
14Layton Ahac (R)X100.0069388852786065523054505545606009000202897,500$
15Brian LashoffX100.0073517859867671583061566548797709000301750,000$
Scratches
1Jimmy VeseyX100.00633593698477886859666571687570090002800$
2Josh DickinsonX100.00693789577860655764615457566764090002300$
3Skyler McKenzieX100.00593788596182835753565852596563090002300$
4Mark JankowskiXX100.00573594678973866582646377627368090002600$
5Blake HillmanX100.00674383587672675530525154456965090002500$
TEAM AVERAGE100.006639866275757860486158625569660900
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
1Dylan Ferguson100.007775837576757776757776656909000
Scratches
1Tyler Parsons100.006273757461606261606261677109000
2Zane McIntyre100.007488868273727473727473778309000
TEAM AVERAGE100.00717981777069717069717070740900
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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


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
Austin CzarnikSyracuse Crunch (TBL)C281992-12-12No175 Lbs5 ft9NoNoNo1Pro & Farm725,000$0$0$NoLink / NHL Link
Blake HillmanSyracuse Crunch (TBL)D251996-01-26No193 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Brian LashoffSyracuse Crunch (TBL)D301990-07-16No213 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Calle RosenSyracuse Crunch (TBL)D271994-02-02No186 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Dominic TurgeonSyracuse Crunch (TBL)C251996-02-25No199 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Drake CaggiulaSyracuse Crunch (TBL)RW271994-06-20No176 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Dylan FergusonSyracuse Crunch (TBL)G221998-09-20No189 Lbs6 ft1NoNoNo1Pro & Farm733,333$0$0$NoLink
Jack BadiniSyracuse Crunch (TBL)LW231998-01-19No203 Lbs6 ft0NoNoNo1Pro & Farm805,000$0$0$NoLink
Jacob MacDonaldSyracuse Crunch (TBL)D281993-02-26No204 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$NoLink / NHL Link
Jimmy VeseySyracuse Crunch (TBL)LW281993-05-26No202 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Josh DickinsonSyracuse Crunch (TBL)C231997-11-17No190 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Justin BarronSyracuse Crunch (TBL)D192001-11-15 02:13:54Yes195 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Layton AhacSyracuse Crunch (TBL)D202001-02-22Yes188 Lbs6 ft2NoNoNo2Pro & Farm897,500$0$0$No897,500$
Mac HollowellSyracuse Crunch (TBL)D221998-09-26No170 Lbs5 ft9NoNoNo1Pro & Farm799,766$0$0$NoLink / NHL Link
Mackenzie MacEachernSyracuse Crunch (TBL)LW271994-03-09No190 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLink / NHL Link
Mark JankowskiSyracuse Crunch (TBL)C/LW261994-09-13No212 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Mark PysykSyracuse Crunch (TBL)D291992-01-11No196 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLink / NHL Link
Otto SomppiSyracuse Crunch (TBL)C231998-01-12No192 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Peter DiLiberatoreSyracuse Crunch (TBL)D212000-03-31No160 Lbs5 ft11NoNoNo2Pro & Farm880,833$0$0$No880,833$Link
Sean DurziSyracuse Crunch (TBL)D221998-10-21No185 Lbs6 ft0NoNoNo1Pro & Farm809,166$0$0$NoLink / NHL Link
Skyler McKenzieSyracuse Crunch (TBL)LW231998-01-20No154 Lbs5 ft8NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Tyler ParsonsSyracuse Crunch (TBL)G231997-09-18No185 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Zane McIntyreSyracuse Crunch (TBL)G281992-08-20No206 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2324.74190 Lbs6 ft10.87558,722$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
3Peter DiLiberatore20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, Peter DiLiberatore, Peter DiLiberatore,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
100 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,285,060$ 1,115,333$ 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$ 0 0$ 0$




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
201884254702433269317-4842161902212136143-74292800221133174-4150269487756218893837293399194697149302886544219022475120.65%2215475.57%01511313248.24%1547315948.97%674140048.14%1981137520096141090540
201884313704345281307-2642191702202130141-1142122002143151166-15622814937742310280911230791012984104566319684351819172574818.68%2596076.83%01645326450.40%1677333950.22%705140250.29%1965135620476131085536
2019100434101825436442-6502416015132282052350192500312208237-298643678312191117913711753913125413621270523784106963422613147724.52%3176679.18%32070409350.57%1926381150.54%917190548.14%2368163623807311304644
201910045410425344743314502718022012282151350182302052219218190447789123662155153130103872124713621223703800113561422893197724.14%3078572.31%51976399149.51%1898389948.68%895180849.50%2392165623667291298654
Total Regular Season36814416601117141614331499-661848670071128722704181845896046128711795-84288143325523985117524463421341379745044654450923713808391222088369113725322.25%110426576.00%872021448049.74%70481420849.61%3191651548.98%870760248804268947782375
Playoff
201920146000001048024963000005139121183000005341122810419029400334227288628727528638788216106527712433.80%531571.70%045288750.96%42182750.91%21242250.24%510357477150274140
Total Playoff20146000001048024963000005139121183000005341122810419029400334227288628727528638788216106527712433.80%531571.70%045288750.96%42182750.91%21242250.24%510357477150274140