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Blossom Bytes
GP: 59 | W: 41 | L: 14 | OTL: 4 | P: 86
GF: 267 | GA: 203 | PP%: 30.57% | PK%: 73.41%
GM : Gerd | Morale : 99 | Team Overall : N/A
Next Games #969 vs Rams

Game Center
Blossom Bytes
41-14-4, 86pts
7
FINAL
8 Rams
34-23-2, 70pts
Team Stats
W1StreakW5
20-8-2Home Record13-16-1
21-6-2Home Record21-7-1
8-1-1Last 10 Games9-1-0
4.53Goals Per Game3.85
3.44Goals Against Per Game3.32
30.57%Power Play Percentage31.35%
73.41%Penalty Kill Percentage71.60%
Penguins
33-25-4, 70pts
2
FINAL
3 Blossom Bytes
41-14-4, 86pts
Team Stats
L1StreakW1
16-13-1Home Record20-8-2
17-12-3Home Record21-6-2
4-3-3Last 10 Games8-1-1
3.27Goals Per Game4.53
3.15Goals Against Per Game3.44
28.33%Power Play Percentage30.57%
69.43%Penalty Kill Percentage73.41%
Blossom Bytes
41-14-4, 86pts
Day 136
Rams
34-23-2, 70pts
Team Stats
W1StreakW5
20-8-2Home Record13-16-1
21-6-2Away Record21-7-1
8-1-1Last 10 Games9-1-0
4.53Goals Per Game3.85
3.44Goals Against Per Game3.85
30.57%Power Play Percentage31.35%
73.41%Penalty Kill Percentage71.60%
Rocket
24-32-5, 53pts
Day 137
Blossom Bytes
41-14-4, 86pts
Team Stats
W1StreakW1
9-19-2Home Record20-8-2
15-13-3Away Record21-6-2
8-2-0Last 10 Games8-1-1
3.20Goals Per Game4.53
4.00Goals Against Per Game4.53
27.09%Power Play Percentage30.57%
69.69%Penalty Kill Percentage73.41%
Gorillas
26-30-7, 59pts
Day 140
Blossom Bytes
41-14-4, 86pts
Team Stats
L1StreakW1
14-13-3Home Record20-8-2
12-17-4Away Record21-6-2
8-2-0Last 10 Games8-1-1
3.19Goals Per Game4.53
3.76Goals Against Per Game4.53
25.46%Power Play Percentage30.57%
71.27%Penalty Kill Percentage73.41%
Team Leaders
Goals
Julien Gauthier
38
Assists
John Farinacci
49
Points
Julien Gauthier
78
Plus/Minus
Tyrel Bauer
22
Wins
Arvid Holm
25
Save Percentage
Ales Stezka
0.898

Team Stats
Goals For
267
4.53 GFG
Shots For
2182
36.98 Avg
Power Play Percentage
30.6%
96 GF
Offensive Zone Start
39.8%
Goals Against
203
3.44 GAA
Shots Against
1899
32.19 Avg
Penalty Kill Percentage
73.4%%
71 GA
Defensive Zone Start
33.8%
Team Info

General ManagerGerd
CoachAdam Foote
DivisionAtlantic Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance4,964
Season Tickets800


Roster Info

Pro Team32
Farm Team22
Contract Limit54 / 65
Prospects14


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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.
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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
1John FarinacciXXX100.00735094707477886383656273654961090002311,312,500$
2Julien GauthierXX100.00785093788577737361677171655863084002732,325,000$
3Jens LookeXX100.00606060606070706060606060606370084002711,783,180$
4Martin ChromiakXX100.0060606060607070606060606060435809000222866,250$
5Jason PolinXX100.0060509367757583626162636765505908900252682,500$
6Nikita NesterenkoX100.0069508870747792696170697065415608500232682,500$
7Justin RobidasX100.0062509471667893647165636765415608300211825,000$
8Hunter HaightXXX100.00606060606070706060606060604156064002011,250,000$
9Michael MilneXX100.0073508867707589626162637165415609100221825,000$
10Nikita GrebenkinXX100.0065508769797588656165646965405509001212650,000$
11Gracyn Sawchyn (R)X100.00606060606070706060606060604655087001931,250,000$
12Ilya Protas (R)XX100.0060606060607070606060606060425509000183975,000$
13Lukas CormierX100.00606060606070706060606060605361075002211,023,750$
14Sean BehrensX100.00606060606070706060606060604156080002111,250,000$
15Dylan AnhornX100.0060606060607070606060606060415608900252682,500$
16Connor KelleyX100.0060606060607070606060606060405508301221650,000$
17Cameron AllenX100.0060606060607070606060606060405509001192825,000$
18Ty Murchison (R)X100.0060606060607070606060606060485506700212700,000$
Scratches
1Alex GaffneyX100.0060606060607070606060606060485909800223700,000$
2Noel GunlerXX100.00606060606070706060606060604358063002321,312,500$
3Ryder KorczakX100.00606060606070706060606060604358043002221,023,750$
4Riley DuranXXX100.0073509362677989616861627365415608800221700,000$
5Vinzenz RohrerXXX100.0060606060607070606060606060415606000201975,000$
6Dylan WendtXXX100.0060606060607070606060606060405504200231650,000$
7Mack OliphantX100.0060606060607070606060606060465809800223650,000$
8Tyrel BauerX100.0060606060607070606060606060425708800222787,500$
9Ty Gallagher (R)X100.0060606060607070606060606060485505700212750,000$
TEAM AVERAGE100.006357696364727561626161636145570800
Filter Tips
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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")
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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
1Hampton Slukynsky (R)100.006070706060606060606060425508200193750,000$
2Harrison Meneghin (R)100.006070706060606060606060465508900203650,000$
Scratches
1Arvid Holm100.0060707060606060606060605664059002621,466,625$
2Ales Stezka46.126070706060606060606060556605800275727,650$
3Isaiah Saville100.006070706060606060606060505907000241866,250$
TEAM AVERAGE89.20607070606060606060606050600720
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adam Foote8076687961661CAN543600,000$


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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
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# 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
1Julien GauthierBlossom Bytes (SJS)LW/RW513840788343072662427912515.70%2081616.01212243601880000186344.59%745120031.9137141685
2John FarinacciBlossom Bytes (SJS)C/LW/RW592649756372567951787312714.61%20106818.111033433121812371813158.37%7593720001.4023212721
3Nikita NesterenkoBlossom Bytes (SJS)C50273562-6202067692014412113.43%2893518.711118294018210161050147.05%9652412001.3311022443
4Nikita GrebenkinBlossom Bytes (SJS)LW/RW59302656-6302081562046812314.71%1794015.9516173342217000014344.83%583210001.1901220245
5Michael MilneBlossom Bytes (SJS)LW/RW59152641-651357038118529412.71%2881513.82610161895000000241.82%55217001.0125241112
6Ilya ProtasBlossom Bytes (SJS)C/LW58221941111367012253117286318.80%2499517.179122124210000007048.15%812420100.8200347121
7Jason PolinBlossom Bytes (SJS)LW/RW591917361759454653152538612.50%3092515.6910112202191783040.26%772112000.7811324112
8Justin RobidasBlossom Bytes (SJS)C5111243573715355713243728.33%1665712.890113150222561253.50%5294210001.0603012224
9Riley DuranBlossom Bytes (SJS)C/LW/RW531717341659355973110327715.45%2774214.0153884421381641154.15%2531115010.9211223111
10Martin ChromiakBlossom Bytes (SJS)LW/RW5811203146535763694295811.70%1470312.1337101692000002141.67%361713000.8857205052
11Tyrel BauerBlossom Bytes (SJS)D5252025221185088888627385.81%67123223.70426101930001149010%02027000.4101235001
12Sean BehrensBlossom Bytes (SJS)D5842125201669095616516286.15%58116920.173710162080113163000%01428000.4300558101
13Gracyn SawchynBlossom Bytes (SJS)C574182213684074626627396.06%2467411.8300000000011149.92%615414000.6500422020
14Hunter HaightBlossom Bytes (SJS)C/LW/RW18101121102410332062122916.13%628115.62156559000032138.71%3155001.4901101212
15Lukas CormierBlossom Bytes (SJS)D4102020-3704075484611130%4189921.9308891460221114000%0725000.4400242020
16Ty MurchisonBlossom Bytes (SJS)D392171991147073454922124.08%4687422.4215612132000191100%01621000.4300446001
17Dylan AnhornBlossom Bytes (SJS)D511171801348071496125221.64%65105820.761455610003113000%0621000.3400628000
18Cameron AllenBlossom Bytes (SJS)D59314175744075555520205.45%47102117.3125710112000298000%0918000.3300224000
19Jens LookeBlossom Bytes (SJS)LW/RW326713101810391338122115.79%42788.7001104000031063.64%11610000.9300110001
20Noel GunlerBlossom Bytes (SJS)LW/RW27268220103716269227.69%72669.8810118000030080.00%553000.6000002001
21Connor KelleyBlossom Bytes (SJS)D293583844043323215149.38%3552218.000000200008100%069100.3100215101
22Vinzenz RohrerBlossom Bytes (SJS)C/LW/RW14257753251933248138.33%321115.13000130001360046.29%22943000.6600212002
23Ty GallagherBlossom Bytes (SJS)D251236101352625241134.17%1240816.35123439000032010%0515000.1500222010
24Ryder KorczakBlossom Bytes (SJS)C2000020000000%021.35000000000000100.00%10000000000000
Team Total or Average10612594366951551574870144311432182716122011.87%6391750316.509616225831622436814541528331850.83%3779387338240.791531504974293636
Filter Tips
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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.
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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
1Arvid HolmBlossom Bytes (SJS)3425230.8973.3017812198948559400.818223210320
2Ales StezkaBlossom Bytes (SJS)2011600.8983.4811200065639380310.7147208221
3Hampton SlukynskyBlossom Bytes (SJS)94410.8883.274960027242138101.0002715100
4Harrison MeneghinBlossom Bytes (SJS)71200.8413.49189001169380000026000
Team Total or Average70411440.8943.363588212011898111581315959641


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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 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 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
Ales Stezka (Out of Payroll)Blossom Bytes (SJS)G271997-01-06CZENo190 Lbs6 ft4NoNoN/ANoNo5FalseFalsePro & Farm727,650$205,135$72,765$20,514$No727,650$727,650$727,650$727,650$-----727,650$727,650$727,650$727,650$-----NoNoNoNo-----
Alex GaffneyBlossom Bytes (SJS)C222002-06-25USANo176 Lbs5 ft9NoNoAssign ManuallyNoNo32026-03-29FalseFalsePro & Farm700,000$197,340$70,000$19,734$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Arvid HolmBlossom Bytes (SJS)G261998-11-03SWENo214 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,466,625$413,463$146,662$41,346$No1,466,625$--------1,466,625$--------No--------
Cameron AllenBlossom Bytes (SJS)D192005-01-07CANNo194 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm825,000$232,580$82,500$23,258$No825,000$--------825,000$--------No--------
Connor KelleyBlossom Bytes (SJS)D222002-01-30USANo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
Dylan AnhornBlossom Bytes (SJS)D251999-01-21CANNo190 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$192,407$68,250$19,241$No682,500$--------682,500$--------No--------
Dylan WendtBlossom Bytes (SJS)C/LW/RW232001-01-09USANo185 Lbs6 ft1NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
Gracyn SawchynBlossom Bytes (SJS)C192005-01-19CANYes154 Lbs5 ft10NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Hampton SlukynskyBlossom Bytes (SJS)G192005-07-02USAYes190 Lbs5 ft11NoNoProspectNoNo32025-08-21FalseFalsePro & Farm750,000$211,436$75,000$21,144$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Harrison MeneghinBlossom Bytes (SJS)G202004-09-13CANYes174 Lbs6 ft2NoNoDraftNoNo32025-08-21FalseFalsePro & Farm650,000$183,245$65,000$18,324$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Hunter HaightBlossom Bytes (SJS)C/LW/RW202004-04-04CANNo180 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No---------------------------
Ilya ProtasBlossom Bytes (SJS)C/LW182006-07-18BLRYes201 Lbs6 ft3NoNoDraftNoNo32025-08-21FalseFalsePro & Farm975,000$274,867$97,500$27,487$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Isaiah SavilleBlossom Bytes (SJS)G242000-09-21USANo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm866,250$244,209$86,625$24,421$No---------------------------
Jason PolinBlossom Bytes (SJS)LW/RW251999-06-17USANo198 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$192,407$68,250$19,241$No682,500$--------682,500$--------No--------
Jens LookeBlossom Bytes (SJS)LW/RW271997-04-11SWENo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,783,180$502,705$178,318$50,270$No---------------------------
John FarinacciBlossom Bytes (SJS)C/LW/RW232001-02-14USANo197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$370,013$131,250$37,001$No---------------------------
Julien Gauthier (1 Way Contract)Blossom Bytes (SJS)LW/RW271997-10-15CANNo226 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm2,325,000$637,500$2,325,000$637,500$No2,325,000$2,325,000$-------2,325,000$2,325,000$-------NoNo-------
Justin RobidasBlossom Bytes (SJS)C212003-03-13USANo176 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm825,000$232,580$82,500$23,258$No---------------------------
Lukas CormierBlossom Bytes (SJS)D222002-03-27CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$288,610$102,375$28,861$No---------------------------
Mack OliphantBlossom Bytes (SJS)D222002-12-28USANo205 Lbs6 ft1NoNoAssign ManuallyNoNo32026-03-29FalseFalsePro & Farm650,000$183,245$65,000$18,324$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Martin ChromiakBlossom Bytes (SJS)LW/RW222002-08-20SVKNo190 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm866,250$244,209$86,625$24,421$No866,250$--------866,250$--------No--------
Michael MilneBlossom Bytes (SJS)LW/RW222002-09-21CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$232,580$82,500$23,258$No---------------------------
Nikita GrebenkinBlossom Bytes (SJS)LW/RW212003-05-02RUSNo210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm650,000$183,245$65,000$18,324$No650,000$--------650,000$--------No--------
Nikita NesterenkoBlossom Bytes (SJS)C232001-09-10USANo195 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$192,407$68,250$19,241$No682,500$--------682,500$--------No--------
Noel GunlerBlossom Bytes (SJS)LW/RW232001-10-07SWENo176 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$370,013$131,250$37,001$No1,312,500$--------1,312,500$--------No--------
Riley DuranBlossom Bytes (SJS)C/LW/RW222002-01-25USANo174 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$197,340$70,000$19,734$No---------------------------
Ryder KorczakBlossom Bytes (SJS)C222002-09-23CANNo172 Lbs5 ft11NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$288,610$102,375$28,861$No1,023,750$--------1,023,750$--------No--------
Sean BehrensBlossom Bytes (SJS)D212003-03-31USANo177 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No---------------------------
Ty GallagherBlossom Bytes (SJS)D212003-03-06USAYes196 Lbs5 ft10NoNoProspectNoNo22025-08-21FalseFalsePro & Farm750,000$211,436$75,000$21,144$No750,000$--------750,000$--------No--------
Ty MurchisonBlossom Bytes (SJS)D212003-02-02USAYes205 Lbs6 ft0NoNoProspectNoNo22025-08-21FalseFalsePro & Farm700,000$197,340$70,000$19,734$No700,000$--------700,000$--------No--------
Tyrel BauerBlossom Bytes (SJS)D222002-05-23CANNo207 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$222,008$78,750$22,201$No787,500$--------787,500$--------No--------
Vinzenz RohrerBlossom Bytes (SJS)C/LW/RW202004-09-09AUTNo178 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$274,867$97,500$27,487$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3222.22190 Lbs6 ft11.94955,233$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ilya ProtasNikita NesterenkoMichael Milne28122
2Nikita GrebenkinJustin RobidasMartin Chromiak28122
3Julien GauthierGracyn SawchynJason Polin25122
4John FarinacciHunter HaightJens Looke19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor KelleyDylan Anhorn28122
2Lukas CormierSean Behrens28122
3Ty MurchisonCameron Allen25122
4Connor KelleySean Behrens19122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ilya ProtasNikita NesterenkoMartin Chromiak50122
2Nikita GrebenkinJohn FarinacciJulien Gauthier50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty MurchisonCameron Allen50122
2Lukas CormierSean Behrens50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Hunter HaightJason Polin50122
2Nikita NesterenkoJohn Farinacci50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Lukas CormierDylan Anhorn50122
2Ty MurchisonSean Behrens50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Hunter Haight50122Ty MurchisonLukas Cormier50122
2Julien Gauthier50122Cameron AllenSean Behrens50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Gracyn SawchynMartin Chromiak50122
2Justin RobidasJulien Gauthier50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cameron AllenTy Murchison50122
2Dylan AnhornSean Behrens50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Gracyn SawchynNikita NesterenkoJulien GauthierTy MurchisonDylan Anhorn
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ilya ProtasGracyn SawchynMartin ChromiakSean BehrensDylan Anhorn
Extra Forwards
Normal PowerPlayPenalty Kill
Ilya Protas, Jason Polin, Julien GauthierIlya Protas, Martin ChromiakJulien Gauthier
Extra Defensemen
Normal PowerPlayPenalty Kill
Ty Murchison, Cameron Allen, Lukas CormierSean BehrensCameron Allen, Lukas Cormier
Penalty Shots
Julien Gauthier, Martin Chromiak, Michael Milne, John Farinacci, Nikita Grebenkin
Goalie
#1 : Hampton Slukynsky, #2 : Harrison Meneghin


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
1Admirals42100010181442110000089-121000010105560.75018274500679792181537276967375214958919829931.03%13376.92%0763150450.73%649127650.86%50999950.95%127467311685921153563
2Americans11000000321110000003210000000000021.0003580067979218397276967375229103333100.00%40100.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
3Bears402011001416-22020000057-22000110099030.375142539006797921812472769673752114395810620735.00%14657.14%1763150450.73%649127650.86%50999950.95%127467311685921153563
4Bills11000000514000000000001100000051421.0005101500679792182972769673752276433010220.00%40100.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
5Blood Miners1010000035-2000000000001010000035-200.000358006797921841727696737522981121500.00%3166.67%0763150450.73%649127650.86%50999950.95%127467311685921153563
6Bulldogs220000001165110000007341100000043141.00011203100679792188072769673752552861539444.44%13376.92%1763150450.73%649127650.86%50999950.95%127467311685921153563
7Eagles10001000211000000000001000100021121.00023500679792182872769673752381312254125.00%60100.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
8Griffins1010000058-31010000058-30000000000000.00058130067979218407276967375226153426400.00%7271.43%0763150450.73%649127650.86%50999950.95%127467311685921153563
9Grisards311010001715221100000131211000100043140.66717254200679792181217276967375211738956412325.00%21671.43%0763150450.73%649127650.86%50999950.95%127467311685921153563
10Gulls55000000271215220000001257330000001578101.00027447100679792181817276967375215966163124331236.36%24387.50%2763150450.73%649127650.86%50999950.95%127467311685921153563
11Moose3210000013103110000005322110000087140.6671322350067979218109727696737521043237796116.67%11281.82%0763150450.73%649127650.86%50999950.95%127467311685921153563
12Mountaineers1010000012-11010000012-10000000000000.000123006797921835727696737522451826400.00%40100.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
13Octopus11000000523110000005230000000000021.00058130067979218397276967375236154725300.00%6266.67%0763150450.73%649127650.86%50999950.95%127467311685921153563
14Penguins5210011022202310001101211121100000109170.7002240620067979218173727696737521786113412323521.74%22863.64%0763150450.73%649127650.86%50999950.95%127467311685921153563
15Phantoms302000101011-1201000106601010000045-120.333101323006797921811572769673752117331048010440.00%17570.59%0763150450.73%649127650.86%50999950.95%127467311685921153563
16Rams210000011211100000000000210000011211130.750122133006797921887727696737526923374114857.14%6350.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
17Reign11000000633000000000001100000063321.00061218006797921836727696737521979218337.50%20100.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
18Roadrunners1010000024-2000000000001010000024-200.00023510679792184572769673752361323205120.00%4175.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
19Saints10000010651100000106510000000000021.00067130067979218307276967375233514258225.00%2150.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
20Senators320000101376110000004222100001095461.000132033006797921891727696737529925437617423.53%14285.71%0763150450.73%649127650.86%50999950.95%127467311685921153563
21Silver Knights11000000514110000005140000000000021.00058130067979218357276967375230935215240.00%5180.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
22Titans5310010025178210001001073321000001510570.7002540650067979218179727696737521514071113331030.30%21766.67%0763150450.73%649127650.86%50999950.95%127467311685921153563
23Whalers11000000312000000000001100000031221.000369006797921837727696737523256255240.00%30100.00%0763150450.73%649127650.86%50999950.95%127467311685921153563
24White Wolves21000010642100000103211100000032141.00061016006797921882727696737525823345410330.00%7271.43%0763150450.73%649127650.86%50999950.95%127467311685921153563
25Wolf Pack311000101312131100010131210000000000040.66713213401679792181297276967375276331125919842.11%16662.50%0763150450.73%649127650.86%50999950.95%127467311685921153563
26Wolves320000102013721000010121021100000083561.00020315100679792181247276967375294292517517529.41%18761.11%2763150450.73%649127650.86%50999950.95%127467311685921153563
Total593014033812672036430148002601351092629166031211329438860.72926743670311679792182182727696737521899639157614433149630.57%2677173.41%6763150450.73%649127650.86%50999950.95%127467311685921153563
_Since Last GM Reset593014033812672036430148002601351092629166031211329438860.72926743670311679792182182727696737521899639157614433149630.57%2677173.41%6763150450.73%649127650.86%50999950.95%127467311685921153563
_Vs Conference45231002361210161492311600240103861722124021211077532660.73321034055001679792181662727696737521488492123510962397832.64%2045871.57%5763150450.73%649127650.86%50999950.95%127467311685921153563
_Vs Division1114601331584216564002202422268201111342014401.8185895153006797921841072769673752344108441281631930.16%531473.58%2763150450.73%649127650.86%50999950.95%127467311685921153563

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5986W1267436703218218996391576144311
All Games
GPWLOTWOTL SOWSOLGFGA
5930143381267203
Home Games
GPWLOTWOTL SOWSOLGFGA
301480260135109
Visitor Games
GPWLOTWOTL SOWSOLGFGA
29166312113294
Last 10 Games
WLOTWOTL SOWSOL
810001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3149630.57%2677173.41%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7276967375267979218
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
763150450.73%649127650.86%50999950.95%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
127467311685921153563


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
12Blossom Bytes7Admirals3WBoxScore
430Wolf Pack0Blossom Bytes4WBoxScore
536Blossom Bytes4Senators1WBoxScore
856Admirals4Blossom Bytes5WBoxScore
1071Blossom Bytes3Titans4LBoxScore
1286Grisards7Blossom Bytes6LBoxScore
1395Blossom Bytes8Gulls3WBoxScore
15109Blossom Bytes5Bears6LXBoxScore
17125Penguins5Blossom Bytes4LXBoxScore
18134Blossom Bytes5Rams3WBoxScore
21159Wolves3Blossom Bytes4WXXBoxScore
23168Blossom Bytes4Gulls3WBoxScore
26184Penguins4Blossom Bytes5WBoxScore
29211Blossom Bytes4Bears3WXBoxScore
31220Gulls3Blossom Bytes5WBoxScore
35246Wolf Pack3Blossom Bytes4WXXBoxScore
38267Americans2Blossom Bytes3WBoxScore
40280Blossom Bytes4Grisards3WXBoxScore
43303Wolves7Blossom Bytes8WBoxScore
45313Blossom Bytes8Wolves3WBoxScore
47325Blossom Bytes3Admirals2WXXBoxScore
49339Senators2Blossom Bytes4WBoxScore
51360Blossom Bytes3Whalers1WBoxScore
53370Octopus2Blossom Bytes5WBoxScore
56396Silver Knights1Blossom Bytes5WBoxScore
57410Blossom Bytes4Bulldogs3WBoxScore
60427White Wolves2Blossom Bytes3WXXBoxScore
62445Blossom Bytes5Penguins3WBoxScore
65461Admirals5Blossom Bytes3LBoxScore
68478Blossom Bytes3White Wolves2WBoxScore
70493Bears4Blossom Bytes3LBoxScore
74519Titans5Blossom Bytes4LXBoxScore
78549Mountaineers2Blossom Bytes1LBoxScore
80567Blossom Bytes3Blood Miners5LBoxScore
83582Bulldogs3Blossom Bytes7WBoxScore
85601Blossom Bytes3Moose1WBoxScore
87613Phantoms3Blossom Bytes4WXXBoxScore
90635Blossom Bytes5Moose6LBoxScore
91644Wolf Pack9Blossom Bytes5LBoxScore
94667Blossom Bytes5Titans1WBoxScore
95675Blossom Bytes3Gulls1WBoxScore
97684Moose3Blossom Bytes5WBoxScore
100707Saints5Blossom Bytes6WXXBoxScore
102726Blossom Bytes4Phantoms5LBoxScore
104740Phantoms3Blossom Bytes2LBoxScore
106753Blossom Bytes2Roadrunners4LBoxScore
108766Blossom Bytes5Penguins6LBoxScore
110776Bears3Blossom Bytes2LBoxScore
112793Blossom Bytes5Senators4WXXBoxScore
114804Blossom Bytes6Reign3WBoxScore
115816Gulls2Blossom Bytes7WBoxScore
119842Blossom Bytes2Eagles1WXBoxScore
120848Griffins8Blossom Bytes5LBoxScore
122870Blossom Bytes5Bills1WBoxScore
124878Grisards5Blossom Bytes7WBoxScore
127906Titans2Blossom Bytes6WBoxScore
129920Blossom Bytes7Titans5WBoxScore
131937Blossom Bytes7Rams8LXXBoxScore
132943Penguins2Blossom Bytes3WXXBoxScore
136969Blossom Bytes-Rams-
137975Rocket-Blossom Bytes-
1401000Gorillas-Blossom Bytes-
1421014Blossom Bytes-Crunch-
1431023Blossom Bytes-Bears-
1451038Norsemen-Blossom Bytes-
1481061Blossom Bytes-Admirals-
1491069Gorillas-Blossom Bytes-
1531096Grisards-Blossom Bytes-
1551109Blossom Bytes-Crunch-
1571128Redhawks-Blossom Bytes-
1581136Blossom Bytes-Wolf Pack-
1621159Whalers-Blossom Bytes-
1631168Blossom Bytes-Americans-
1661191Admirals-Blossom Bytes-
1671197Blossom Bytes-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
1691214Blossom Bytes-Americans-
1721227Blossom Bytes-Norsemen-
1741238Whalers-Blossom Bytes-
1781261Rams-Blossom Bytes-
1811280Blossom Bytes-Wolf Pack-
1831292Blossom Bytes-Norsemen-
1861306Rams-Blossom Bytes-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price4020
Attendance53,99894,920
Attendance PCT72.00%57.53%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
11 4964 - 62.05% 178,990$5,369,712$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,320,121$ 2,751,481$ 2,751,481$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
17,827$ 2,320,121$ 30 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,968,894$ 53 17,827$ 944,831$




Blossom Bytes 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

Blossom Bytes Goalies Stat Leaders (Regular Season)

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

Blossom Bytes 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

Blossom Bytes 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

Blossom Bytes Goalies Stat Leaders (Play-Off)

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