SYRACUSE BABY BULLS
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Rob F | Morale : 50 | Team Overall : 63
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
1Reilly SmithXX100.00728023627569689238727953538278050682291575,000$
2Trevor Zegras (R)X100.00371783798077746358656362557080050651202750,000$
3Julius Nattinen (R)X100.001199747770746554625654576962050602241500,000$
4Aarne Talvitie (R)XX100.0027188687473706170606148557360050592221500,000$
5Lee Sweatt (C)X100.0016199597351659950999961659997050700351800,000$
6Braydon Coburn (A)X100.0038499608180875850534092589990050692361648,437$
7K'Andre Miller (R)X100.00791884797775756430635460447262050662211750,000$
8Brett KulakX100.0024893657462696743676555447978050612271500,000$
9Alexander Alexeyev (R)X100.00701385707053675433545262666561044602211650,000$
Scratches
1Adam Henrique (A)X100.001199587880739044908856559188050710311800,000$
2Max Comtois (R)X100.00601965847978777251717062558071050692225750,000$
3Quinton HowdenX100.002399647566797255626371598991050642291500,000$
4Ivan Chekhovich (R)X100.0036297837172766647585555587564050622221550,000$
5Juuso Pärssinen (R)X100.0015478656864656756646060536553080602203550,000$
6Maxim Letunov (R)X100.00443176747477765264555256537576050592252440,000$
7Rhett Pitlick (R)X100.00421169636267666055595855636458080582203550,000$
8Tuukka Tieksola (R)X100.005590626462615955646058556359080584203500,000$
9Kirill Maksimov (R)X100.00321179687360595668546058666562050582225600,000$
10John Ludvig (R)X100.00434893666359605444544968465862050582202500,000$
11David Farrance (R)X100.00757570627154584940544457555965050572222550,000$
12Jordan Spence (R)X100.00567945656156625444515166455251050572202500,000$
13Vili Saarijarvi (R)X100.0027596648163684740492759466561050562241500,000$
TEAM AVERAGE100.0036208268736770655063596055737005462
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
1Joacim Eriksson100.0064616677697172697163539178050692
Scratches
1Cayden Primeau (R)100.0073656877696668646660576867050662
2Arvid Söderblom (R)100.0062676475646461636061596664080632
3Olof Lindbom (R)100.0061636284636365656359606061050632
TEAM AVERAGE100.006564657866666765656157716805865
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marty St Louis74809488929258CAN4521,200,000$


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
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 RemainingSalary AverageSalary Ave RemainingSalary 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
Aarne TalvitieSYRACUSE BABY BULLS (BUL)C/LW222/11/1999 2:53:02 AMYes205 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Adam HenriqueSYRACUSE BABY BULLS (BUL)C312/6/1990No218 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$40,000$40,000$80,000$80,000$No
Alexander AlexeyevSYRACUSE BABY BULLS (BUL)D2111/15/1999 6:00:28 AMYes201 Lbs6 ft4NoNoNo1Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No
Arvid Söderblom (Out of Payroll)SYRACUSE BABY BULLS (BUL)G218/19/1999 6:22:06 AMYes179 Lbs6 ft3NoNoNo3Pro & Farm550,000$550,000$40,000$40,000$0$0$Yes550,000$550,000$
Braydon CoburnSYRACUSE BABY BULLS (BUL)D362/27/1985No229 Lbs6 ft5NoNoNo1Pro & Farm648,437$648,437$64,844$64,844$No
Brett KulakSYRACUSE BABY BULLS (BUL)D271/6/1994 3:04:40 AMNo200 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Cayden PrimeauSYRACUSE BABY BULLS (BUL)G218/11/1999 3:19:23 AMYes187 Lbs6 ft4NoNoNo5Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$750,000$750,000$750,000$
David Farrance SYRACUSE BABY BULLS (BUL)D226/23/1999 8:34:10 AMYes194 Lbs5 ft9NoNoNo2Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No550,000$
Ivan ChekhovichSYRACUSE BABY BULLS (BUL)LW221/4/1999 2:24:31 AMYes192 Lbs5 ft10NoNoNo1Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No
Joacim ErikssonSYRACUSE BABY BULLS (BUL)G318/7/1989 4:14:33 AMNo200 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$40,000$40,000$70,000$70,000$No
John LudvigSYRACUSE BABY BULLS (BUL)D208/2/2000 8:10:52 AMYes202 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$
Jordan SpenceSYRACUSE BABY BULLS (BUL)D202/24/2001 5:40:41 AMYes202 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$
Julius NattinenSYRACUSE BABY BULLS (BUL)C241/14/1997 5:17:10 AMYes209 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Juuso PärssinenSYRACUSE BABY BULLS (BUL)C202/1/2001 6:54:06 AMYes198 Lbs6 ft3NoNoNo3Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No550,000$550,000$
K'Andre MillerSYRACUSE BABY BULLS (BUL)D211/21/2000 5:34:07 AMYes203 Lbs5 ft7NoNoNo1Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No
Kirill MaksimovSYRACUSE BABY BULLS (BUL)RW226/1/1999 2:22:01 AMYes210 Lbs6 ft1NoNoNo5Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No600,000$600,000$600,000$600,000$
Lee SweattSYRACUSE BABY BULLS (BUL)D358/13/1985No205 Lbs5 ft9NoNoNo1Pro & Farm800,000$800,000$40,000$40,000$80,000$80,000$No
Max ComtoisSYRACUSE BABY BULLS (BUL)LW221/8/1999 7:18:21 AMYes193 Lbs6 ft1NoNoNo5Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$750,000$750,000$750,000$
Maxim LetunovSYRACUSE BABY BULLS (BUL)C252/20/1996 5:38:58 AMYes199 Lbs6 ft0NoNoNo2Pro & Farm440,000$440,000$40,000$40,000$44,000$44,000$No440,000$
Olof LindbomSYRACUSE BABY BULLS (BUL)G207/23/2000 7:08:16 AMYes225 Lbs6 ft6NoNoNo1Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No
Quinton HowdenSYRACUSE BABY BULLS (BUL)C298/7/1991 5:31:31 AMNo200 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Reilly SmithSYRACUSE BABY BULLS (BUL)LW/RW298/8/1991 4:36:45 AMNo206 Lbs6 ft0NoNoNo1Pro & Farm575,000$575,000$40,000$40,000$57,500$57,500$No
Rhett Pitlick (Out of Payroll)SYRACUSE BABY BULLS (BUL)LW202/7/2001 6:58:32 AMYes170 Lbs5 ft11NoNoNo3Pro & Farm550,000$550,000$40,000$40,000$0$0$Yes550,000$550,000$
Trevor ZegrasSYRACUSE BABY BULLS (BUL)C203/20/2001 3:14:59 AMYes178 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$
Tuukka Tieksola (Out of Payroll)SYRACUSE BABY BULLS (BUL)RW206/22/2001 3:26:01 AMYes157 Lbs5 ft10NoNoNo3Pro & Farm500,000$500,000$40,000$40,000$0$0$Yes500,000$500,000$
Vili SaarijarviSYRACUSE BABY BULLS (BUL)D245/15/1997 6:06:04 AMYes220 Lbs6 ft5NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2624.04199 Lbs6 ft11.96596,671$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
130122
2Trevor Zegras30122
330122
4Reilly Smith10221
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Braydon CoburnLee Sweatt30122
230122
3Braydon CoburnLee Sweatt30122
4Braydon Coburn10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
150005
2Trevor Zegras50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Lee Sweatt50005
250005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Reilly Smith60041
2Reilly Smith40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Braydon Coburn60140
240140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160050Braydon Coburn60050
24005040050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Reilly Smith60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Lee SweattBraydon Coburn60122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lee Sweatt
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Braydon Coburn
Extra Forwards
Normal PowerPlayPenalty Kill
, , Trevor Zegras,
Extra Defensemen
Normal PowerPlayPenalty Kill
Lee Sweatt, , Braydon CoburnBraydon CoburnLee Sweatt,
Penalty Shots
, , , , Reilly Smith
Goalie
#1 : Joacim Eriksson, #2 :
Custom OT Lines Forwards
Trevor Zegras, , , , Reilly Smith, , , Julius Nattinen, , ,
Custom OT Lines Defensemen
Lee Sweatt, Braydon Coburn, , Brett Kulak,


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 Price98
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
42 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,551,344$ 100,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 23 3

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
884363108531272253194218180231013613334218130622113612016722724607324075939316238373880881239244377068717103267623.31%2105474.29%4787167646.96%853172849.36%617120751.12%175896417757841555799
984363102834259259042181302423141132942181800411118127-9942594316904175791008222969176375842254182755914923058026.23%1612981.99%0838157853.11%782151251.72%625119352.39%173493817707711591836
Total Regular Season1687262010136553151219843631047332772651284363106632254247716653189114228115017219324461214291571157081498415971246320263115624.72%3718377.63%41625325449.94%1635324050.46%1242240051.75%349219023545155531461635
Playoff
91046000001825-7523000001013-352300000812-48182947223960179415187021689164173601016.67%32778.13%010218555.14%8818447.83%5510552.38%18674195104218117
Total Playoff1046000001825-7523000001013-352300000812-48182947223960179415187021689164173601016.67%32778.13%010218555.14%8818447.83%5510552.38%18674195104218117