Rally %

0.0571

Rally % on Played Serves

0.0690

Rally Length

3.00

Rallies

2

Avg Change of Possession per Point

1.71

Frankfurt Meetup

Frankfurt Meetup Semifinals Peng and Bumm vs Paul und Lukas

Game 1

Oct. 16, 2021

Link to Footage

Game Info

Peng and Bumm

Eric Kaiser & Mario Bürkle

14

Lukas und Paul

Paul Siemer & Lukas Eisenträger

21

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Note: Some stats are only viewable when the full game is selected.

Game Stats

Players

NameG# of Games
-
# of Games
TSTTotal Sets
-
Strong Sets + Weak Sets + Normal Sets + Missed Sets + Setting Errors
STPMSetting Plus Minus
-
((Strong Sets - Weak Sets - Setting Errors) * Partner Put Away %)/Total Games; But if weak sets > strong sets, then: ((Strong Sets - Weak Sets - Setting Errors) * (1 - Partner Put Away %))/Total Games
SSTStrong Sets
-
An amazing set that salvaged a point a team was not expected to keep alive
SST%Strong Set %
-
Strong Sets / Total Sets
WSTWeak Sets
-
A poor set that missed the net or forced a bad hit
WST%Weak Set %
-
Weak Sets / Total Sets
NSTNormal Sets
-
A set that did not receive a strong or weak designation
NST%Normal Set %
-
Normal Sets / Total Sets
MSTNEMissed Sets (Non Errors)
-
Missed sets that are not setting errors
MSTNE%Missed Set (Non Errors) %
-
Missed Sets (non errors) / Total Sets
STESetting Errors
-
A set causing a direct loss of point (i.e. set is carried)
STE%Setting Error %
-
Setting Errors / Total Sets
Eric Kaiser160.3310.1700.0050.8300.0000.00
Mario Bürkle160.0000.0000.0061.0000.0000.00
Paul Siemer190.0000.0000.0091.0000.0000.00
Lukas Eisenträger150.0000.0000.0051.0000.0000.00
Name# of GamesTotal SetsSetting Plus MinusStrong SetsStrong Set %Weak SetsWeak Set %Normal SetsNormal Set %Missed Sets (Non Errors)Missed Set (Non Errors) %Setting ErrorsSetting Error %
Glossary Reference

Teams

NamePlayersG# of Games
-
# of Games
TSTTotal Sets
-
Strong Sets + Weak Sets + Normal Sets + Missed Sets + Setting Errors
STPMSetting Plus Minus
-
((Strong Sets - Weak Sets - Setting Errors) * Partner Put Away %)/Total Games; But if weak sets > strong sets, then: ((Strong Sets - Weak Sets - Setting Errors) * (1 - Partner Put Away %))/Total Games
SSTStrong Sets
-
An amazing set that salvaged a point a team was not expected to keep alive
SST%Strong Set %
-
Strong Sets / Total Sets
WSTWeak Sets
-
A poor set that missed the net or forced a bad hit
WST%Weak Set %
-
Weak Sets / Total Sets
NSTNormal Sets
-
A set that did not receive a strong or weak designation
NST%Normal Set %
-
Normal Sets / Total Sets
MSTNEMissed Sets (Non Errors)
-
Missed sets that are not setting errors
MSTNE%Missed Set (Non Errors) %
-
Missed Sets (non errors) / Total Sets
STESetting Errors
-
A set causing a direct loss of point (i.e. set is carried)
STE%Setting Error %
-
Setting Errors / Total Sets
Peng and BummEric Kaiser & Mario Bürkle1120.4410.0800.00110.9200.0000.00
Lukas und PaulPaul Siemer & Lukas Eisenträger1140.0000.0000.00141.0000.0000.00
NamePlayers# of GamesTotal SetsSetting Plus MinusStrong SetsStrong Set %Weak SetsWeak Set %Normal SetsNormal Set %Missed Sets (Non Errors)Missed Set (Non Errors) %Setting ErrorsSetting Error %
Glossary Reference