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Bundesliga Table, Statistics and Fixtures

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Column 'id_pays' in on clause is ambiguous : ( SELECT m.etat, m.id, e1.id, e2.id, score1, score2 ,journee, championnats.id AS idc, date, heure, pays.id, periode1, periode2, periode3, periode4, periode5, date_format(date_add(addtime(date, heure), interval 0 hour), "%Y-%m-%d %H:%i"), championnats.nom, pays.nom, matchs_cote.cote1, matchs_cote.coteN, matchs_cote.cote2, bl1.lien_stats, bl1.lien_general, blN.lien_stats, blN.lien_general, bl2.lien_stats, bl2.lien_general FROM matchs AS m JOIN equipes AS e1 ON e1.id=equipe1 JOIN equipes AS e2 ON e2.id=equipe2 JOIN championnats ON m.id_championnat = championnats.id JOIN pays ON id_pays = pays.id JOIN saisons ON saisons.id = id_saison LEFT JOIN matchs_cote ON id_match = m.id AND matchs_cote.langue = 2 LEFT JOIN cotes.bookmakers AS book1 ON book1.idbookmaker = matchs_cote.cote1book LEFT JOIN sportytrader.bookmakers_liens AS bl1 ON bl1.id_book = book1.id_sporty AND bl1.LCID = 2057 LEFT JOIN cotes.bookmakers AS bookN ON bookN.idbookmaker = matchs_cote.coteNbook LEFT JOIN sportytrader.bookmakers_liens AS blN ON blN.id_book = bookN.id_sporty AND blN.LCID = 2057 LEFT JOIN cotes.bookmakers AS book2 ON book2.idbookmaker = matchs_cote.cote2book LEFT JOIN sportytrader.bookmakers_liens AS bl2 ON bl2.id_book = book2.id_sporty AND bl2.LCID = 2057 WHERE m.id_championnat=66261 AND journee=12 AND (e1.nom <> "Bye" AND e2.nom <> "Bye") ) UNION ( SELECT m.etat, m.id, e1.id, e2.id, score1, score2 ,journee, championnats.id AS idc, date, heure, pays.id, periode1, periode2, periode3, periode4, periode5, date_format(date_add(addtime(date, heure), interval 0 hour), "%Y-%m-%d %H:%i"), championnats.nom, pays.nom, 0, 0, 0, "", "", "", "", "", "" FROM matchs_archive AS m JOIN equipes AS e1 ON e1.id=equipe1 JOIN equipes AS e2 ON e2.id=equipe2 JOIN championnats ON m.id_championnat = championnats.id JOIN pays ON id_pays = pays.id JOIN saisons ON saisons.id = id_saison WHERE m.id_championnat=66261 AND journee=12 AND (e1.nom <> "Bye" AND e2.nom <> "Bye") ) ORDER BY idc DESC, journee DESC, date, heure

Bundesliga Table

 
General Home Away Form
Team PointsWinsDraw Def. GF GA +/-Played
1 Bayern Munich 2992 1 30 8 22 12
2 Schalke 04 2372 3 16 10 6 12
3 RB Leipzig 2372 3 20 15 5 12
4 Moenchengladbach 2163 3 21 21 0 12
5 Dortmund 2062 4 29 16 13 12
6 Hoffenheim 2055 2 21 15 6 12
7 Eintracht Frankfurt 1954 3 14 12 2 12
8 Hannover 96 1853 4 15 15 0 12
9 Bayer Leverkusen 1745 3 25 18 7 12
10 FC Augsburg 1644 4 16 14 2 12
11 Stuttgart 1651 6 12 15 -3 12
12 Mainz 05 1543 5 13 17 -4 12
13 Wolfsburg 1428 2 16 17 -1 12
14 Hertha Berlin 1435 4 16 19 -3 12
15 Hamburg 1031 8 10 20 -10 12
16 Werder Bremen 815 6 8 14 -6 12
17 Freiburg 815 6 7 24 -17 12
18 FC Koln 202 10 4 23 -19 12

Bundesliga Statistics

 
Matches played
108
Home wins
45.4%
draws
28.7%
Away wins
25.9%
Total goals
293
Goals per game
2.71
More than 2,5 goals
53%
Less than 2,5 goals
47%
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Bundesliga Statistics - Bundesliga Result analyses

On this page, you'll find all the esults and rankings, whenever you need them.
At the end of every match, each Bundesliga result is recorded here.

bundesliga Results Statistics

After 108 matches played, here are the main Bundesliga statistics:

  • An average of 2.71 goals are scored per match
  • Home win: 45.4%
  • Draws: 28.7%
  • Away win: 25.9%
  • -2.5 goals: 47%
  • +2.5 goals: 53%

With our Bundesliga statistics, you'll soon know whether or not your bet is justified on the basis of past results. We are confident you will increase your chances of winning, and avaoid unprofitable bets overtime!

bundesliga results and bundesliga rankings are provided by our 'SportyTrader Stat' Bundesliga statistics service.

 

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