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Division A Standings
 1. Keravnos 5-1 
 2. Apoel 4-2 
 3. AEK 4-2 
 4. Enosis 3-3 
 5. Apollon 1-5 
 6. Etha 1-5 
Full Standings
Last:12/3/2016
Division B Standings
Group A
 1. AEL 4-0 
 2. Asteras 3-1 
 3. Achilleas Agrou 2-1 
 4. Achilleas K. 2-1 
 5. APOP 2-1 
 6. Omonia 2-1 
 7. ENAD 0-3 
 8. Zinonas 0-3 
 9. Cypriot U18 0-4 
Group B
 1. KTE Agiou N. 2-0 
 2. Enosi Athanasiou 1-0 
 3. Enosis 1-0 
 4. Military NT 0-0 
 5. Athlitikos 0-1 
 6. PAOK K. 0-1 
 7. Atlantas P. 0-2 
Last:11/27/2016
North League Stage A Standings
 1. Near East Un. 13-2 
 2. Koopspor 12-3 
 3. Mapfree Life 9-6 
 4. Yenicami 9-6 
 5. Magem 8-7 
 6. K. American U. 3-12 
 7. E.Mediterenian 1-14 
 8. Soyer Sport 0-15 
Last:12/13/2015
FIBA Europe Cup Stage Two Standings
Group K
 1. Chalon 0-0 
 2. Gaziantep 0-0 
 3. Sodertalje 0-0 
 4. Targu Mures 0-0 
Group L
 1. Antwerp 0-0 
 2. Demir IBB 0-0 
 3. Gravelines 0-0 
 4. Prievidza 0-0 
Group M
 1. Apoel 0-0 
 2. Oberwart 0-0 
 3. Telekom Bsk 0-0 
 4. Vytautas 0-0 
Group N
 1. Bnei Hertzeliyya 0-0 
 2. Kormend 0-0 
 3. Nanterre 0-0 
 4. Tsmoki-Minsk 0-0 
Group O
 1. Alba 0-0 
 2. BK Pardubice 0-0 
 3. Pau-Lacq-Orthez 0-0 
 4. UBT Cluj Napoca 0-0 
Group P
 1. Benfica 0-0 
 2. Enisey 0-0 
 3. Groningen 0-0 
 4. Lukoil Acad. 0-0 
Stage One Standings
Last:11/29/2016
Points Per Game
 Jarvis RAY
  
  (198-G-90)
  Avg: 19
 1. Ray, Enosis19.0 
 2. Franklin, Apollon18.8 
 3. Esho, Etha18.5 
 4. Abukar, Keravnos17.0 
 5. Walker, Etha15.8 
 6. Pigram, AEK15.7 
 7. Raines, Apollon13.8 
 8. Marshall, Apollon13.4 
 9. Blakes, Enosis12.3 
 10. Burnatowski, Apoel12.0 
Rebounds Per Game
 Cadarian RAINES
  
  (206-F-90)
  Avg: 9
 1. Raines, Apollon9.0 
 2. Esho, Etha8.8 
 3. Mobley, Apoel8.6 
 4. Thomas, Enosis8.2 
 5. Parks, Keravnos7.5 
 6. Blakes, Enosis7.0 
 7. Franklin, Apollon6.2 
 8. Barker, Keravnos5.8 
 9. Burnatowski, Apoel5.7 
 10. Abukar, Keravnos5.5 
Assists Per Game
 Kenny BARKER
  
  (191-G-86)
  Avg: 6.8
 1. Barker, Keravnos6.8 
 2. Washington, Enosis5.7 
 3. Thomas, AEK5.7 
 4. Bussey, Apoel5.2 
 5. Blakes, Enosis4.2 
 6. Walker, Etha4.0 
 7. Brown, Apoel3.8 
 8. Koronides, Apollon3.8 
 9. Ross, Keravnos3.7 
 10. Panteli, AEK3.5 
Steals Per Game
 Ronald ROSS
  
  (188-PG-83)
  Avg: 2.2
 1. Ross, Keravnos2.2 
 2. Franklin, Apollon2.0 
 3. Burnatowski, Apoel1.8 
 4. Panteli, AEK1.8 
 5. Ray, Enosis1.7 
 6. Barker, Keravnos1.7 
 7. Stylianou, Keravnos1.5 
 8. Parks, Keravnos1.5 
 9. Thomas, AEK1.5 
 10. Marshall, Apollon1.4 
Blocks Per Game
 Brandon MOBLEY
  
  (206-F-91)
  Avg: 1.8
 1. Mobley, Apoel1.8 
 2. Thomas, Enosis1.7 
 3. N'Doye, Apollon1.4 
 4. Marshall, Apollon1.2 
 5. Raines, Apollon1.0 
 6. O'Brien, Keravnos0.8 
 7. Burnatowski, Apoel0.8 
 8. Esho, Etha0.7 
 9. Papadopoulos, Eno.0.6 
 10. Ray, Enosis0.5 
Player of the week
Round: 3

 Murphy Burnatowski
  Apoel
  (200-SF-104)
  
Cypriot men teams in Euro cups 2016-2017
 FIBA Europe Cup:

Next Round Schedule

Round 7 (Regular Season)

Apollon Dec.7 Apoel 85%
AEK 72% Dec.6 Enosis
Etha 57% Dec.6 Etha
First Round Schedule
Magem  Dec. 20  Soyer Sport
Mapfree Life  Dec. 20  K. American .
Koopspor  Dec. 17  E.Meditereni.
Near East Un.  Dec. 17  Yenicami
Check Full Games/Schedule
Next Round Schedule

Round 1 (Second Stage)

Group K
Gaziantep 62% Dec.14 Sodertalje
Chalon 54% Dec.13 Targu Mures
Group L
Demir IBB 63% Dec.14 Antwerp
Gravelines Dec.13 Prievidza 58%
Group M
Vytautas 55% Dec.14 Oberwart
Telekom Bsk 50% Dec.14 Apoel
Group N
Nanterre 66% Dec.14 Kormend
Tsmoki-Minsk 60% Dec.14 Bnei Hertzel
Group O
Alba 66% Dec.13 UBT Cluj Na
Pau-Lacq-Ort 64% Dec.13 BK Pardubice
Group P
Lukoil Acad 56% Dec.14 Benfica
Groningen 68% Dec.14 Enisey
Disagreement about Tendex - Jan 26, 2013


POSTED BY:
DR. NASIOS ORINOS
E-mail Dr. Nasios:
Dr. Nasios's Articles

I have read an article about the importance of Tendex score on calculating statistics and i wish to note my disagreement.

Basketball statistics and the way players are rated is indeed something that has bothered basketball experts over the years and has led to the use of different formulas.

The Tendex rating was developed by Dave Heeran over the course of 30 years as a way to differentiate players by using statistics found in boxscores. The formula has been developed and modified over the years and today countries use different kinds of formulas. The simple formula currently stands as follows:

Tendex Rating=
{[ Points + Rebounds + Assists + Steals + Blocks - Turnovers - Missed Field Goals - Missed Free Throws ] / Minutes}


This formula is based on minutes played.

In my opinion though, the use of this formula and more specifically the use of Tendex Score has many faults and cannot constitute an objective measurement of the performance of a player and this is exaclty why many countries are now using a different formula (index) that does not take into account the minutes played.

In the formula we use in Cyprus, aspects like leadership, ability of a player to mark his opponent effectively, confidence, running the drills and many other characteristics are not calculated. These are important aspects of a game and most of the times aspects like these win games compared to only scoring points or grabbing rebounds. For example, how does this formula measure how well a guard sets his team and runs the drills?

Simply, it does not. Passing the ball has nothing to do with running the drills and be the brain of your team.

A second problem is that players can fall in the trap and look on how to improve their scores, not really playing to win. These players care more on winning awards rather than winning games.


In this content, i strongly believe that this is something that the Cyprus Basketball Federation needs to take into consideration. It needs to reconsider the way players are rated.

Below I am giving examples on how the formula changes based on the minutes played.

EXAMPLE 1

In the 1st example we have 2 players who have the same stats but have had different time in the game. Player 1 who has played for 20 minutes has a Tendex score of (1), whereas player 2 who has played only for 10 minutes has a Tendex score of (2).
So as you can see this formula is very sensitive on time played. Imagine a 3rd player who only played for 7 minutes (which is the minimum or calculating the score), obviously having different stats, for example no turnovers and no missed shots, also finishing with a score of 2.

Is this fair? I think not.

{ (10+5+2+2+3)-0-1-1}/20=1
{ (10+5+2+2+3)-0-1-1}/10=2
{ (6+2+2+2+2)-0-0-0}/7=2

EXAMPLE 2

In the example below I wish to stress the fact that the formula is not so sensitive on points. The 1st player scores 0.9 with 20 minutes played, the 2nd who has the same stats has a double score with 10 minutes less in the game. Now, the 3rd player has 10 minutes in the game, just like the 2nd player, but 4 points less. This drops his score only by 0.4, proving that points do not influence the final score as much as time played.

{ (10+5+2+2+3)-2-1-1}/20=0.9
{ (10+5+2+2+3)-2-1-1}/10=1.8
{ (6+5+2+2+3)-2-1-1}/10=1.4

EXAMPLE 3

In a 3rd example 2 players have the same time in the game but the 2nd has 2 turnovers and missed 2 field goals and 2 free throws compared to only 1 of the 1st player. As you can see this drops his score only by 0.15 which proves once more that the formula is not as sensitive on these aspects as it is on minutes played.

{ (10+5+2+2+3)-1-1-1}/20=0.95
{ (10+5+2+2+3)-2-2-2}/20=0.8

Bottom line

1)Tendex Score is more sensitive on minutes played than it is on other aspects.

2)The less the minutes someone plays, other things constant, the better the Tendex Score. A player who goes deeper into the playoffs, compared to someone who finishes the championship early, or someone who has a small number of minutes in the game, will obviously have a worse Tendex Score because he will have more minutes played, which of course is not fair. Add to that the fact that this player will probably have more turnovers, or will miss more shots and this affects his score even more. It is that simple.

3)The last thing I wish to add is that the statistics should be broken down into regular season and playoffs.

MANY PLAYERS HAVE GOOD REGULAR SEASONS BUT HORRIBLE PLAYOFFS.
If you do not distinguish between regular season and the playoffs you skew their stats upwards which is again wrong
.
  




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