Team overview

2DM

DC

AffiliationSBA

Wins

82

Losses

18
Played Games
Day Rank Opponent R WH Final Win% SOS1 SOS2 RPI
May 7 41 302 A's L H - 57.1% 0.354 0.539 0.483
May 14 67 Tax Dodgers L H - 27.3% 0.469 0.425 0.373
May 21 59 The Lefties L A 18-22 22.2% 0.581 0.405 0.413
Jun 4 69 Smart ALECs L A - 0.0% 0.701 0.423 0.365
Jun 25 34 Immaculate Innings L A - 50.0% 0.412 0.518 0.518
Jul 2 19 Empire Strikes Back L H - 80.0% 0.465 0.514 0.589
Jul 16 49 The Quakes L H - 50.0% 0.424 0.493 0.468
Jul 31 20 Baltimore Oracles L A - 75.0% 0.507 0.494 0.587
Aug 15 23 Agent Orange L H - 55.0% 0.539 0.523 0.570
Aug 21 1 The Islanders W A - 90.9% 0.518 0.534 0.714
Aug 27 7 Various Positions W H - 90.0% 0.504 0.538 0.659
Upcoming Games
Batting Stats
Name G PA AB H R RBI E 2B 3B HR SAC BB SO FC
Brian Strasburger 0 - - - - - - - - - - - - -
Charley Maresca 0 - - - - - - - - - - - - -
David Hincapie 0 - - - - - - - - - - - - -
Dolores Rowen 0 - - - - - - - - - - - - -
Donna Wood 0 - - - - - - - - - - - - -
Eric Wall 0 - - - - - - - - - - - - -
Jack Bienko 0 - - - - - - - - - - - - -
Jeff Davis 0 - - - - - - - - - - - - -
JT Tucker 0 - - - - - - - - - - - - -
Karyn Kazimer 0 - - - - - - - - - - - - -
Kevin Sabbagh 0 - - - - - - - - - - - - -
LaMarcus Brown 0 - - - - - - - - - - - - -
Marc Kuropatwa 0 - - - - - - - - - - - - -
Michael Purcell 0 - - - - - - - - - - - - -
Nathan Young 0 - - - - - - - - - - - - -
Omar Morel 0 - - - - - - - - - - - - -
Rick Vogler 0 - - - - - - - - - - - - -
Robert Garces 0 - - - - - - - - - - - - -
Rosalyn Steward 0 - - - - - - - - - - - - -
Stephanie Kroll 0 - - - - - - - - - - - - -
Steve Sullivan 0 - - - - - - - - - - - - -
Tinisha Agramonte 0 - - - - - - - - - - - - -
Tito Morales 0 - - - - - - - - - - - - -
Tom 0 - - - - - - - - - - - - -
Tom Furman 0 - - - - - - - - - - - - -
Pitching Stats
Name GP IP ER H R BB SO
Statistics
2019
  • Rank
    4
  • Games
    11
  • W-L-T
    9 - 2 - 0
  • Win %
    0.818
  • Runs Scored
    149
  • Runs Allowed
    127
  • SOS1
    0.459
  • SOS2
    0.489
  • RPI
    0.681
Calculations
Win% represents the percent games played that were won.
    Games Won + ( Games Tied × 0.5 ) ) ÷ Games Played = Win%
    ( 9 + ( 0 × 0.5 ) ) ÷ 11 = 81.8%
SOS1 represents the average of opponents' Win% for each game.
    AVERAGE(   57.1%  27.3%  22.2%  0.0%  50.0%  80.0%  50.0%  75.0%  55.0%  90.9%  90.0% ) = 0.459
SOS2 represents the average of opponents' SOS1.
    AVERAGE(   0.354  0.469  0.581  0.701  0.412  0.465  0.424  0.507  0.539  0.518  0.504 ) = 0.489
RPI represents the Ratings Percentage Index
    ( 40% × Win% ) + ( 40% × SOS1 ) + ( 20% × SOS2 ) = RPI
    ( 40% × 0.818 ) + ( 40% × 0.459 + ( 20% × 0.489 ) = 0.681
    ( 0.327 ) + ( 0.184 ) + ( 0.098 ) = 0.681
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