Team overview

Cold Hard Cash

DC

AffiliationNone

Wins

69

Losses

31
Played Games
Day Rank Opponent R WH Final Win% SOS1 SOS2 RPI
May 5 36 Build Back Batters L A - 46.7% 0.385 0.526 0.474
May 19 1 Athleisure W H - 91.7% 0.511 0.510 0.670
May 26 58 Targeted Victory L H - 0.0% 0.602 0.420 0.325
Jun 16 24 Channel 4 News Team L H - 64.3% 0.478 0.526 0.530
Jun 23 17 Green New Steals W H - 60.7% 0.429 0.545 0.564
Jun 30 59 LD-2s L H - 0.0% 0.588 0.440 0.323
Jul 7 21 Suspicious Packages W H - 64.3% 0.509 0.541 0.545
Jul 14 30 Palmetto Pitchers L H - 54.5% 0.439 0.489 0.491
Jul 21 48 What Exit? L H - 11.1% 0.511 0.496 0.354
Jul 28 32 NASA Astros L A - 45.5% 0.589 0.460 0.488
Aug 11 10 Data Trust W H - 70.8% 0.483 0.497 0.602
Aug 18 29 Baltimore Oracles L A - 37.5% 0.496 0.477 0.494
Aug 25 41 Hillbilly Hitmen L H - 40.0% 0.257 0.514 0.406
Upcoming Games
Batting Stats
Name G PA AB H R RBI E 2B 3B HR SAC BB SO FC
Alesia Wubben 0 - - - - - - - - - - - - -
Amanda Myers 0 - - - - - - - - - - - - -
Amit Shashidharan 0 - - - - - - - - - - - - -
Anna Normand 0 - - - - - - - - - - - - -
Eduardo Melchior 0 - - - - - - - - - - - - -
Elliot Golden 0 - - - - - - - - - - - - -
Eric Jeschke 0 - - - - - - - - - - - - -
Germaica Bradley 0 - - - - - - - - - - - - -
James Lafemina 0 - - - - - - - - - - - - -
Jesse Waletich 0 - - - - - - - - - - - - -
Jonathan Labukas 0 - - - - - - - - - - - - -
Laura Engel 0 - - - - - - - - - - - - -
MacAdam Wubben 0 - - - - - - - - - - - - -
Matthew Barron 0 - - - - - - - - - - - - -
Melissa Bergen Meltraub 0 - - - - - - - - - - - - -
Mike Welther 0 - - - - - - - - - - - - -
Patrick Myers 0 - - - - - - - - - - - - -
Randi Kieffer 0 - - - - - - - - - - - - -
Rebecca St. Laurent 0 - - - - - - - - - - - - -
Seth Robbins 0 - - - - - - - - - - - - -
Suzanne Ghosh 0 - - - - - - - - - - - - -
Tommy Heslap 0 - - - - - - - - - - - - -
Pitching Stats
Name GP IP ER H R BB SO
Statistics
2022
  • Rank
    22
  • Games
    13
  • W-L-T
    9 - 4 - 0
  • Win %
    0.692
  • Runs Scored
    187
  • Runs Allowed
    136
  • SOS1
    0.469
  • SOS2
    0.502
  • RPI
    0.542
Calculations
Win% represents the percent games played that were won.
    Games Won + ( Games Tied × 0.5 ) ) ÷ Games Played = Win%
    ( 9 + ( 0 × 0.5 ) ) ÷ 13 = 69.2%
SOS1 represents the average of opponents' Win% for each game.
    AVERAGE(   46.7%  91.7%  0.0%  64.3%  60.7%  0.0%  64.3%  54.5%  11.1%  45.5%  70.8%  37.5%  40.0% ) = 0.469
SOS2 represents the average of opponents' SOS1.
    AVERAGE(   0.385  0.511  0.602  0.478  0.429  0.588  0.509  0.439  0.511  0.589  0.483  0.496  0.257 ) = 0.502
RPI represents the Ratings Percentage Index
    ( 40% × Win% ) + ( 40% × SOS1 ) + ( 20% × SOS2 ) = RPI
    ( 40% × 0.692 ) + ( 40% × 0.469 + ( 20% × 0.502 ) = 0.542
    ( 0.277 ) + ( 0.188 ) + ( 0.100 ) = 0.542
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