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1.liga M Standings

Basic Group

# Team P Pl W D L GF:GA GD
1 Kielce Vive KS 39 22 19 1 2 686:533 +153
2 Wisla Plock SSA 33 22 16 1 5 662:545 +117
3 Traveland-Spolem 29 22 14 1 7 664:629 +35
4 Kwidzyn MMTS 23 22 10 3 9 623:615 +8
5 Piotrkowianin-Kiper 22 22 10 2 10 623:624 -1
6 Gdaňsk AZS 21 22 10 1 11 613:604 +9
7 Lubin Zaglebie 20 22 8 4 10 641:680 -39
8 Chroby Glogow AMD 19 22 9 1 12 605:638 -33
9 Pulawy Wisla-Azoty 17 22 7 3 12 599:636 -37
10 Legnica 16 22 7 2 13 592:632 -40
11 Gorzów Wielkopolski 13 22 5 3 14 572:667 -95
12 Stal Mielec 12 22 5 2 15 616:693 -77

Relegation

# Team P Pl W D L GF:GA GD
1 Pulawy Wisla-Azoty 25 28 11 3 14 758:795 -37
2 Legnica 21 28 9 3 16 754:777 -23
3 Gorzów Wielkopolski 19 28 8 3 17 743:847 -104
4 Stal Mielec 17 28 7 3 18 772:857 -85

Table Overall

# Team P Pl W D L GF:GA GD
1 Kielce Vive KS 35 32 25 4 3 879:692 +187
2 Wisla Plock SSA 29 33 21 3 9 871:757 +114
3 Traveland-Spolem 27 28 15 3 10 779:731 +48
4 Kwidzyn MMTS 23 32 14 6 12 816:834 -18
5 Piotrkowianin-Kiper 21 28 12 4 12 735:724 +11
6 Chroby Glogow AMD 18 28 11 2 15 721:756 -35
7 Lubin Zaglebie 18 29 10 6 13 766:832 -66
8 Gdaňsk AZS 15 32 11 4 17 771:794 -23
9 Pulawy Wisla-Azoty 15 28 10 5 13 700:737 -37
10 Legnica 13 28 8 4 16 698:722 -24
11 Stal Mielec 13 28 8 4 16 726:779 -53
12 Gorzów Wielkopolski 11 28 7 5 16 680:784 -104

Basic Group Home

# Team P Pl W D L GF:GA GD
1 Kielce Vive KS 22 11 11 0 0 386:270 +116
2 Traveland-Spolem 20 11 10 0 1 353:291 +62
3 Wisla Plock SSA 18 11 9 0 2 327:257 +70
4 Chroby Glogow AMD 17 11 8 1 2 320:301 +19
5 Kwidzyn MMTS 16 11 7 2 2 324:293 +31
6 Gdaňsk AZS 15 11 7 1 3 316:293 +23
7 Piotrkowianin-Kiper 14 11 7 0 4 334:323 +11
8 Legnica 14 11 7 0 4 315:303 +12
9 Lubin Zaglebie 13 11 5 3 3 324:323 +1
10 Stal Mielec 12 11 5 2 4 308:307 +1
11 Pulawy Wisla-Azoty 12 11 5 2 4 305:310 -5
12 Gorzów Wielkopolski 11 11 5 1 5 297:316 -19

Relegation Home

# Team P Pl W D L GF:GA GD
1 Legnica 18 14 9 0 5 405:372 +33
2 Pulawy Wisla-Azoty 18 14 8 2 4 394:385 +9
3 Gorzów Wielkopolski 17 14 8 1 5 392:398 -6
4 Stal Mielec 15 14 6 3 5 383:380 +3

Table Overall Home

# Team P Pl W D L GF:GA GD
1 Kielce Vive KS 20 17 15 1 0 516:0 +516
2 Traveland-Spolem 18 14 10 1 0 406:0 +406
3 Wisla Plock SSA 16 17 13 1 0 456:0 +456
4 Kwidzyn MMTS 16 16 10 3 0 428:0 +428
5 Chroby Glogow AMD 16 14 8 1 0 369:0 +369
6 Piotrkowianin-Kiper 14 14 9 2 0 397:0 +397
7 Stal Mielec 13 14 7 3 0 369:0 +369
8 Legnica 12 14 8 1 0 374:0 +374
9 Lubin Zaglebie 11 14 6 4 0 378:0 +378
10 Gdaňsk AZS 11 15 7 3 0 365:0 +365
11 Pulawy Wisla-Azoty 10 14 7 3 0 366:0 +366
12 Gorzów Wielkopolski 9 14 7 2 0 356:0 +356

Basic Group Away

# Team P Pl W D L GF:GA GD
1 Kielce Vive KS 17 11 8 1 2 300:263 +37
2 Wisla Plock SSA 15 11 7 1 3 335:288 +47
3 Traveland-Spolem 9 11 4 1 6 311:338 -27
4 Piotrkowianin-Kiper 8 11 3 2 6 289:301 -12
5 Lubin Zaglebie 7 11 3 1 7 317:357 -40
6 Kwidzyn MMTS 7 11 3 1 7 299:322 -23
7 Gdaňsk AZS 6 11 3 0 8 297:311 -14
8 Pulawy Wisla-Azoty 5 11 2 1 8 294:326 -32
9 Chroby Glogow AMD 2 11 1 0 10 285:337 -52
10 Legnica 2 11 0 2 9 277:329 -52
11 Gorzów Wielkopolski 2 11 0 2 9 275:351 -76
12 Stal Mielec 0 11 0 0 11 308:386 -78

Relegation Away

# Team P Pl W D L GF:GA GD
1 Pulawy Wisla-Azoty 7 14 3 1 10 364:410 -46
2 Legnica 3 14 0 3 11 349:405 -56
3 Stal Mielec 2 14 1 0 13 389:477 -88
4 Gorzów Wielkopolski 2 14 0 2 12 351:449 -98

Table Overall Away

# Team P Pl W D L GF:GA GD
1 Kielce Vive KS 15 15 10 3 0 740:315 +425
2 Wisla Plock SSA 13 16 8 2 0 784:388 +396
3 Traveland-Spolem 9 14 5 2 0 728:376 +352
4 Kwidzyn MMTS 7 16 4 3 0 791:433 +358
5 Lubin Zaglebie 7 15 4 2 0 778:442 +336
6 Piotrkowianin-Kiper 7 14 3 2 0 699:365 +334
7 Pulawy Wisla-Azoty 5 14 3 2 0 692:379 +313
8 Gdaňsk AZS 4 17 4 1 0 749:451 +298
9 Chroby Glogow AMD 2 14 3 1 0 716:392 +324
10 Gorzów Wielkopolski 2 14 0 3 0 690:418 +272
11 Legnica 1 14 0 3 0 666:380 +286
12 Stal Mielec 0 14 1 1 0 695:441 +254
P
Points
Pl
Played
W
Wins
D
Draws
L
Losses
GF:GA
Goals For:Goals Againts
GD
Goal difference

Poland 1.liga M statistics

Welcome to the Poland 1.liga M 2008/2009 statistical overview, where we present the most exciting and crucial data about the current standings in the competition. 

Overview

  • Stal Mielec has not won 4 matches in a row.
  • Wisla Plock SSA has no draws in the last 11 matches.
  • Traveland-Spolem has an over 52.5 streak of 6 games.
  • Kielce Vive KS has the best form score currently: 0, progress in the last 5 games:
  • The average goal count this season is 51.66 per match.
  • 63.84% of matches have over 52.5 goals.
  • Kielce Vive KS has the highest number of goals: 879, with an average of 27.5 goals per game.
  • Wisla Plock SSA has the most unders this season (18), while Lubin Zaglebie has the most overs (24)

1.liga M 2008/2009 Fixtures

Browse through the entire season schedule. Learn when your favorite team will play in this championship. The handball schedule is an excellent tool for football enthusiasts to stay updated on the latest and most important information about their favorite sport.

1.liga M Results

Discover the previous results of teams in the championship. Compare the results of your favorite teams. Both the schedule and results can be navigated on a round-by-round or weekly basis.

1.liga M Streaks

Interested in which team is currently on a winning streak? Or perhaps you're curious about the drawn sequences? These are important data points for sports bettors or even average sports fans. Many people also like to follow losing streaks with the logic that such a streak cannot last forever and will eventually break.

1.liga M Table and Standings

You'll find the complete championship table with team scores, goals scored and conceded, and, of course, goal difference.

1.liga M 2008/2009 Handball Statistics

In a sortable table, you'll find team statistics such as the number of over/under matches, average goals per match, and the total number of goals. The table is available in aggregated form as well as in home and away breakdowns.

In the form table, you can track the performance of teams in their last 5 matches and the corresponding form numbers. This information can aid in making predictions for the upcoming match.