1999 Swedish football Division 1

Statistics of Swedish football Division 1 in season 1999.

Swedish League Division 1
Season1999
Champions
Promoted
Relegated
← 1998

Overview

It was contested by 28 teams, and GIF Sundsvall and BK Häcken won the championship.

League standings

Norra
Pos Team Pld W D L GF GA GD Pts
1 GIF Sundsvall 26 13 9 4 65 32 +33 48
2 Assyriska Föreningen 26 14 5 7 44 25 +19 47
3 IF Sylvia 26 15 2 9 47 33 +14 47
4 Enköpings SK 26 13 6 7 40 26 +14 45
5 IK Brage 26 12 3 11 33 26 +7 39
6 Västerås SK 26 10 7 9 32 24 +8 37
7 Umeå FC 26 9 9 8 32 28 +4 36
8 Gefle IF 26 10 6 10 32 38 −6 36
9 Degerfors IF 26 9 8 9 34 36 −2 35
10 IF Brommapojkarna 26 9 4 13 31 42 −11 31
11 Nacka FF 26 8 7 11 28 39 −11 31
12 Lira Luleå BK 26 8 4 14 31 45 −14 28
13 IK Sirius 26 6 7 13 27 52 −25 25
14 Spårvägens FF 26 6 3 17 18 48 −30 21
Source:

Södra
Pos Team Pld W D L GF GA GD Pts
1 BK Häcken 26 15 6 5 62 28 +34 51
2 GAIS 26 14 7 5 35 27 +8 49
3 Mjällby AIF 26 15 2 9 51 33 +18 47
4 Ljungskile SK 26 13 7 6 38 26 +12 46
5 Landskrona BoIS 26 12 9 5 52 30 +22 45
6 Gunnilse IS 26 12 6 8 39 30 +9 42
7 Åtvidabergs FF 26 11 8 7 38 32 +6 41
8 Östers IF 26 11 6 9 32 30 +2 39
9 Kristianstads FF 26 9 4 13 34 46 −12 31
10 IK Kongahälla 26 7 7 12 31 40 −9 28
11 Husqvarna FF 26 8 3 15 32 50 −18 27
12 Falkenbergs FF 26 8 2 16 36 59 −23 26
13 Motala AIF 26 7 2 17 28 47 −19 23
14 Stenungsunds IF 26 4 3 19 28 58 −30 15
Source:
For a colour code explanation, see Seasons in Swedish football § Legend.

Footnotes
    gollark: Also, while this isn't the same class of privacy issue as Google analytics tracking and whatnot, governments can use big piles of data to enhance control of the populace and stop dissent. Look at China.
    gollark: Privacy *is* to some extent a direct goal for people, since you probably wouldn't want to, I don't know, use a toilet with glass walls in the middle of a public square.
    gollark: Partly, but you can also just not give them the data. It's easier than trying to stop price discrimination.
    gollark: Yes, but there's a lot of data gathered which I think isn't something they need for that.
    gollark: For example, companies can buy data someone collects and use it for price discrimination.

    References
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