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Blossom Bytes
GP: 3 | W: 2 | L: 1
GF: 17 | GA: 14 | PP%: 47.37% | PK%: 66.67%
GM : Gerd | Morale : 98 | Team Overall : N/A
Next Games #26 vs Rams

Game Center
Rams
1-2-0, 2pts
6
FINAL
8 Blossom Bytes
2-1-0, 4pts
Team Stats
W1StreakL1
1-0-0Home Record2-0-0
0-2-0Home Record0-1-0
1-2-0Last 10 Games2-1-0
4.67Goals Per Game5.67
5.67Goals Against Per Game4.67
33.33%Power Play Percentage47.37%
52.63%Penalty Kill Percentage66.67%
Blossom Bytes
2-1-0, 4pts
3
FINAL
4 Rams
1-2-0, 2pts
Team Stats
L1StreakW1
2-0-0Home Record1-0-0
0-1-0Home Record0-2-0
2-1-0Last 10 Games1-2-0
5.67Goals Per Game4.67
4.67Goals Against Per Game5.67
47.37%Power Play Percentage33.33%
66.67%Penalty Kill Percentage52.63%
Blossom Bytes
2-1-0, 4pts
Day 7
Rams
1-2-0, 2pts
Team Stats
L1StreakW1
2-0-0Home Record1-0-0
0-1-0Away Record0-2-0
2-1-0Last 10 Games1-2-0
5.67Goals Per Game4.67
4.67Goals Against Per Game4.67
47.37%Power Play Percentage33.33%
66.67%Penalty Kill Percentage52.63%
Rams
1-2-0, 2pts
Day 9
Blossom Bytes
2-1-0, 4pts
Team Stats
W1StreakL1
1-0-0Home Record2-0-0
0-2-0Away Record0-1-0
1-2-0Last 10 Games2-1-0
4.67Goals Per Game5.67
5.67Goals Against Per Game5.67
33.33%Power Play Percentage47.37%
52.63%Penalty Kill Percentage66.67%
Blossom Bytes
2-1-0, 4pts
Day 11
Rams
1-2-0, 2pts
Team Stats
L1StreakW1
2-0-0Home Record1-0-0
0-1-0Away Record0-2-0
2-1-0Last 10 Games1-2-0
5.67Goals Per Game4.67
4.67Goals Against Per Game4.67
47.37%Power Play Percentage33.33%
66.67%Penalty Kill Percentage52.63%
Team Leaders
Goals
Nikita Grebenkin
3
Assists
Julien Gauthier
5
Points
Julien Gauthier
7
Plus/Minus
Ilya Protas
1
Wins
Arvid Holm
2
Save Percentage
Arvid Holm
0.882

Team Stats
Goals For
17
5.67 GFG
Shots For
129
43.00 Avg
Power Play Percentage
47.4%
9 GF
Offensive Zone Start
42.9%
Goals Against
14
4.67 GAA
Shots Against
108
36.00 Avg
Penalty Kill Percentage
66.7%%
5 GA
Defensive Zone Start
32.4%
Team Info

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


Arena Info

Capacity8,000
Attendance5,985
Season Tickets800


Roster Info

Pro Team32
Farm Team22
Contract Limit54 / 65
Prospects14


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
1Alex GaffneyX100.0060606060607070606060606060485909200223700,000$
2John FarinacciXXX100.00735094707477886383656273654961072002311,312,500$
3Julien GauthierXX100.00785093788577737361677171655863085002732,325,000$
4Martin ChromiakXX100.0060606060607070606060606060435808800222866,250$
5Jason PolinXX100.0060509367757583626162636765505908700252682,500$
6Nikita NesterenkoX100.0069508870747792696170697065415609100232682,500$
7Justin RobidasX100.0062509471667893647165636765415607200211825,000$
8Vinzenz RohrerXXX100.0060606060607070606060606060415606900201975,000$
9Hunter HaightXXX100.00606060606070706060606060604156083002011,250,000$
10Michael MilneXX100.0073508867707589626162637165415607700221825,000$
11Nikita GrebenkinXX100.0065508769797588656165646965405508901212650,000$
12Ilya Protas (R)XX100.0060606060607070606060606060425509200183975,000$
13Lukas CormierX100.00606060606070706060606060605361084002211,023,750$
14Sean BehrensX100.00606060606070706060606060604156087002111,250,000$
15Dylan AnhornX100.0060606060607070606060606060415608200252682,500$
16Connor KelleyX100.0060606060607070606060606060405508601221650,000$
17Cameron AllenX100.0060606060607070606060606060405508701192825,000$
18Ty Murchison (R)X100.0060606060607070606060606060485507900212700,000$
Scratches
1Jens LookeXX100.00606060606070706060606060606370081002711,783,180$
2Noel GunlerXX100.00606060606070706060606060604358078002321,312,500$
3Ryder KorczakX100.00606060606070706060606060604358022002221,023,750$
4Riley DuranXXX100.0073509362677989616861627365415608700221700,000$
5Dylan WendtXXX100.0060606060607070606060606060405502200231650,000$
6Gracyn Sawchyn (R)X100.00606060606070706060606060604655076001931,250,000$
7Mack OliphantX100.0060606060607070606060606060465807800223650,000$
8Tyrel BauerX100.0060606060607070606060606060425707400222787,500$
9Ty Gallagher (R)X100.0060606060607070606060606060485505100212750,000$
TEAM AVERAGE100.006357696364727561626161636145570770
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Ales Stezka100.006070706060606060606060556606500275727,650$
2Hampton Slukynsky (R)100.006070706060606060606060425508200193750,000$
Scratches
1Arvid Holm73.3660707060606060606060605664047002621,466,625$
2Isaiah Saville100.006070706060606060606060505908200241866,250$
3Harrison Meneghin (R)100.006070706060606060606060465506600203650,000$
TEAM AVERAGE94.60607070606060606060606050600680
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adam Foote8076687961661CAN543600,000$


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
1Julien GauthierBlossom Bytes (SJS)LW/RW3257-10065132515.38%24715.7622449000011050.00%240002.9600000100
2Nikita GrebenkinBlossom Bytes (SJS)LW/RW3336-25520122325.00%04314.6623569000000175.00%410002.7300010100
3Hunter HaightBlossom Bytes (SJS)C/LW/RW3235-1003282525.00%14715.6721339000000045.65%4600002.1300000000
4Nikita NesterenkoBlossom Bytes (SJS)C3224-10053125616.67%15117.1912329000020045.61%5711001.5500000010
5Dylan AnhornBlossom Bytes (SJS)D31231404331033.33%14916.481123800001000%002001.2100000000
6Ilya ProtasBlossom Bytes (SJS)C/LW32131557283525.00%04113.8910110000000033.33%310001.4400100001
7Martin ChromiakBlossom Bytes (SJS)LW/RW3112012107382212.50%04615.4301118000001050.00%201000.8600110000
8Riley DuranBlossom Bytes (SJS)C/LW/RW31121002471514.29%03712.5900000101190055.88%3410001.0600000000
9Justin RobidasBlossom Bytes (SJS)C30221002510230%15217.50000190002100050.77%6510000.7600000000
10Cameron AllenBlossom Bytes (SJS)D3022120645020%15919.9101118000010000%002000.6700000000
11Lukas CormierBlossom Bytes (SJS)D3011-3801134210%67123.720111900001000%023000.2800000000
12Alex GaffneyBlossom Bytes (SJS)C3101-1201170114.29%1289.440000000000000%000000.7100000000
13Noel GunlerBlossom Bytes (SJS)LW/RW3011175514240%03712.61000000110800100.00%131000.5300001000
14Jason PolinBlossom Bytes (SJS)LW/RW3011-1553394100%44715.74000000001100066.67%320000.4200001000
15Vinzenz RohrerBlossom Bytes (SJS)C/LW/RW31010204190211.11%03311.04000000000000100.00%230000.6000000000
16Connor KelleyBlossom Bytes (SJS)D31011002740225.00%15117.130000000009000%001000.3900000000
17Sean BehrensBlossom Bytes (SJS)D3000120874020%58026.740001900009000%01100000000000
18Ty MurchisonBlossom Bytes (SJS)D3000-360342000%44916.380000000009000%01200000000000
Team Total or Average54172542-560308158129285813.18%2887516.229122124911124852150.23%2192114000.9600222211
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
1Arvid HolmBlossom Bytes (SJS)32000.8824.42163001210255000030000
2Ales StezkaBlossom Bytes (SJS)10100.6677.501600262000003000
Team Total or Average42100.8704.6917900141085700033000


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 StezkaBlossom Bytes (SJS)G271997-01-06CZENo190 Lbs6 ft4NoNoN/ANoNo5FalseFalsePro & Farm727,650$415,800$72,765$41,580$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$400,000$70,000$40,000$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Arvid Holm (Out of Payroll)Blossom Bytes (SJS)G261998-11-03SWENo214 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,466,625$838,071$146,662$83,807$No1,466,625$--------1,466,625$--------No--------
Cameron AllenBlossom Bytes (SJS)D192005-01-07CANNo194 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm825,000$471,429$82,500$47,143$No825,000$--------825,000$--------No--------
Connor KelleyBlossom Bytes (SJS)D222002-01-30USANo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$371,429$65,000$37,143$No---------------------------
Dylan AnhornBlossom Bytes (SJS)D251999-01-21CANNo190 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$390,000$68,250$39,000$No682,500$--------682,500$--------No--------
Dylan WendtBlossom Bytes (SJS)C/LW/RW232001-01-09USANo185 Lbs6 ft1NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm650,000$371,429$65,000$37,143$No---------------------------
Gracyn SawchynBlossom Bytes (SJS)C192005-01-19CANYes154 Lbs5 ft10NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,250,000$714,286$125,000$71,429$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$428,571$75,000$42,857$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Harrison MeneghinBlossom Bytes (SJS)G202004-09-13CANYes174 Lbs6 ft2NoNoDraftNoNo32025-08-21FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Hunter HaightBlossom Bytes (SJS)C/LW/RW202004-04-04CANNo180 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$714,286$125,000$71,429$No---------------------------
Ilya ProtasBlossom Bytes (SJS)C/LW182006-07-18BLRYes201 Lbs6 ft3NoNoDraftNoNo32025-08-21FalseFalsePro & Farm975,000$557,143$97,500$55,714$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Isaiah SavilleBlossom Bytes (SJS)G242000-09-21USANo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm866,250$495,000$86,625$49,500$No---------------------------
Jason PolinBlossom Bytes (SJS)LW/RW251999-06-17USANo198 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$390,000$68,250$39,000$No682,500$--------682,500$--------No--------
Jens LookeBlossom Bytes (SJS)LW/RW271997-04-11SWENo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,783,180$1,018,960$178,318$101,896$No---------------------------
John FarinacciBlossom Bytes (SJS)C/LW/RW232001-02-14USANo197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$750,000$131,250$75,000$No---------------------------
Julien Gauthier (1 Way Contract)Blossom Bytes (SJS)LW/RW271997-10-15CANNo226 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm2,325,000$1,328,571$2,325,000$1,328,571$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$471,429$82,500$47,143$No---------------------------
Lukas CormierBlossom Bytes (SJS)D222002-03-27CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$585,000$102,375$58,500$No---------------------------
Mack OliphantBlossom Bytes (SJS)D222002-12-28USANo205 Lbs6 ft1NoNoAssign ManuallyNoNo32026-03-29FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Martin ChromiakBlossom Bytes (SJS)LW/RW222002-08-20SVKNo190 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm866,250$495,000$86,625$49,500$No866,250$--------866,250$--------No--------
Michael MilneBlossom Bytes (SJS)LW/RW222002-09-21CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$471,429$82,500$47,143$No---------------------------
Nikita GrebenkinBlossom Bytes (SJS)LW/RW212003-05-02RUSNo210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$--------650,000$--------No--------
Nikita NesterenkoBlossom Bytes (SJS)C232001-09-10USANo195 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$390,000$68,250$39,000$No682,500$--------682,500$--------No--------
Noel GunlerBlossom Bytes (SJS)LW/RW232001-10-07SWENo176 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$750,000$131,250$75,000$No1,312,500$--------1,312,500$--------No--------
Riley DuranBlossom Bytes (SJS)C/LW/RW222002-01-25USANo174 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$400,000$70,000$40,000$No---------------------------
Ryder KorczakBlossom Bytes (SJS)C222002-09-23CANNo172 Lbs5 ft11NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$585,000$102,375$58,500$No1,023,750$--------1,023,750$--------No--------
Sean BehrensBlossom Bytes (SJS)D212003-03-31USANo177 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$714,286$125,000$71,429$No---------------------------
Ty GallagherBlossom Bytes (SJS)D212003-03-06USAYes196 Lbs5 ft10NoNoProspectNoNo22025-08-21FalseFalsePro & Farm750,000$428,571$75,000$42,857$No750,000$--------750,000$--------No--------
Ty MurchisonBlossom Bytes (SJS)D212003-02-02USAYes205 Lbs6 ft0NoNoProspectNoNo22025-08-21FalseFalsePro & Farm700,000$400,000$70,000$40,000$No700,000$--------700,000$--------No--------
Tyrel BauerBlossom Bytes (SJS)D222002-05-23CANNo207 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$450,000$78,750$45,000$No787,500$--------787,500$--------No--------
Vinzenz RohrerBlossom Bytes (SJS)C/LW/RW202004-09-09AUTNo178 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$557,143$97,500$55,714$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 NesterenkoMartin Chromiak28113
2Nikita GrebenkinHunter HaightJulien Gauthier28122
3Vinzenz RohrerJustin RobidasJason Polin25122
4Noel GunlerRiley DuranAlex Gaffney19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor KelleySean Behrens28122
2Ty MurchisonLukas Cormier28122
3Dylan AnhornCameron Allen25122
4Lukas CormierSean Behrens19122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Julien GauthierNikita NesterenkoJustin Robidas50122
2Nikita GrebenkinHunter HaightMartin Chromiak50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan AnhornCameron Allen50122
2Sean BehrensLukas Cormier50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Justin RobidasJason Polin50122
2Riley DuranNoel Gunler50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty MurchisonCameron Allen50122
2Connor KelleySean Behrens50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nikita Nesterenko50122Connor KelleyDylan Anhorn50122
2Jason Polin50122Sean BehrensLukas Cormier50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Hunter HaightJason Polin50122
2Nikita NesterenkoNikita Grebenkin50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cameron AllenSean Behrens50122
2Ty MurchisonConnor Kelley50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Hunter HaightNikita NesterenkoMartin ChromiakDylan AnhornLukas Cormier
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ilya ProtasJustin RobidasJulien GauthierSean BehrensConnor Kelley
Extra Forwards
Normal PowerPlayPenalty Kill
Ilya Protas, Jason Polin, Hunter HaightIlya Protas, Martin ChromiakNikita Nesterenko
Extra Defensemen
Normal PowerPlayPenalty Kill
Sean Behrens, Cameron Allen, Ty MurchisonConnor KelleyCameron Allen, Sean Behrens
Penalty Shots
Nikita Nesterenko, Justin Robidas, Martin Chromiak, Noel Gunler, Nikita Grebenkin
Goalie
#1 : , #2 : Ales Stezka


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
1Rams321000001714322000000141041010000034-140.667172542004580129394347010828608119947.37%15566.67%1459447.87%387153.52%275450.00%643558295727
Total321000001714322000000141041010000034-140.667172542004580129394347010828608119947.37%15566.67%1459447.87%387153.52%275450.00%643558295727
_Since Last GM Reset321000001714322000000141041010000034-140.667172542004580129394347010828608119947.37%15566.67%1459447.87%387153.52%275450.00%643558295727
_Vs Conference321000001714322000000141041010000034-140.667172542004580129394347010828608119947.37%15566.67%1459447.87%387153.52%275450.00%643558295727
_Vs Division321000001714322000000141041010000034-140.667172542004580129394347010828608119947.37%15566.67%1459447.87%387153.52%275450.00%643558295727

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
34L117254212910828608100
All Games
GPWLOTWOTL SOWSOLGFGA
32100001714
Home Games
GPWLOTWOTL SOWSOLGFGA
22000001410
Visitor Games
GPWLOTWOTL SOWSOLGFGA
101000034
Last 10 Games
WLOTWOTL SOWSOL
210000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
19947.37%15566.67%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
39434704580
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
459447.87%387153.52%275450.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
643558295727


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
12Rams4Blossom Bytes6WBoxScore
310Rams6Blossom Bytes8WBoxScore
518Blossom Bytes3Rams4LBoxScore
726Blossom Bytes-Rams-
934Rams-Blossom Bytes-
1142Blossom Bytes-Rams-
1350Rams-Blossom Bytes-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price4020
Attendance4,1887,782
Attendance PCT83.76%70.75%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 5985 - 74.81% 193,896$387,792$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,677,583$ 2,677,583$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 30 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 8 0$ 0$




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