FT

BK Armex Děčín logo

Děčín

79 : 84

Nymburk

ČEZ Basketball Nymburk
Q1
18
23Q2
24
21Q3
16
17Q4
21
23

National League M Semi-finals - 5/18/11 18:00

National League M Standings

Skupina A1

# Team P Pl W WO LO L PS:PA PD
1 Nymburk 20 10 9 1 0 0 846:725 +121
2 Prostějov 17 10 7 0 1 2 814:767 +47
3 Pardubice 16 10 6 0 0 4 784:734 +50
4 Děčín 14 10 4 0 0 6 716:744 -28
5 Ostrava NH 12 10 2 0 0 8 713:829 -116
6 Nový Jičín 11 10 1 0 0 9 733:807 -74

Skupina A2

# Team P Pl W WO LO L PS:PA PD
1 Opava 47 30 17 0 1 12 2287:2282 +5
2 Kolín 45 30 15 0 2 13 2354:2404 -50
3 USK Praha 41 30 10 1 1 18 2131:2242 -111
4 Brno 40 30 9 1 1 19 2169:2288 -119
5 Svitavy 37 30 6 1 0 23 2011:2429 -418
6 Lokomotiva Plzeň 35 30 5 0 1 24 2068:2482 -414

Z

# Team P Pl W WO LO L PS:PA PD
1 Prostějov 37 20 17 0 0 3 1725:1460 +265
2 Děčín 36 20 16 0 0 4 1574:1359 +215
3 Nový Jičín 35 20 14 1 0 5 1743:1397 +346
4 Pardubice 34 20 14 0 0 6 1599:1388 +211
5 Ostrava NH 33 20 11 2 0 7 1588:1518 +70
6 Opava 30 20 10 0 0 10 1533:1568 -35
7 Kolín 29 20 9 0 1 10 1533:1608 -75
8 Brno 27 20 7 0 1 12 1441:1528 -87
9 USK Praha 25 20 5 0 1 14 1413:1567 -154
10 Lokomotiva Plzeň 22 20 2 0 0 18 1328:1683 -355
11 Svitavy 22 20 2 0 0 18 1299:1700 -401

Table Overall

# Team P Pl W WO LO L PS:PA PD
1 Prostějov 54 45 32 0 0 13 3744:3425 +319
2 Děčín 50 37 23 0 0 14 2846:2603 +243
3 Pardubice 50 40 25 0 0 15 3162:2896 +266
4 Opava 47 37 20 0 0 17 2839:2854 -15
5 Nový Jičín 46 35 18 0 0 17 2849:2581 +268
6 Kolín 45 32 15 0 0 17 2486:2539 -53
7 Ostrava NH 45 34 16 0 0 18 2573:2696 -123
8 USK Praha 41 35 13 0 0 22 2433:2641 -208
9 Brno 40 33 11 0 0 22 2389:2545 -156
10 Svitavy 37 30 7 0 0 23 2011:2429 -418
11 Lokomotiva Plzeň 35 30 5 0 0 25 2068:2482 -414
12 Nymburk 20 22 20 0 0 2 1842:1551 +291

Skupina A1 Home

# Team P Pl W WO LO L PS:PA PD
1 Nymburk 10 5 4 1 0 0 452:383 +69
2 Prostějov 9 5 4 0 0 1 411:384 +27
3 Pardubice 8 5 3 0 0 2 404:371 +33
4 Děčín 7 5 2 0 0 3 354:362 -8
5 Ostrava NH 7 5 2 0 0 3 348:375 -27
6 Nový Jičín 6 5 1 0 0 4 365:397 -32

Skupina A2 Home

# Team P Pl W WO LO L PS:PA PD
1 Opava 28 15 13 0 0 2 1249:1100 +149
2 Kolín 25 15 10 0 0 5 1220:1143 +77
3 Brno 22 15 6 1 1 7 1131:1131 0
4 USK Praha 20 15 5 0 1 9 1046:1087 -41
5 Svitavy 19 15 3 1 0 11 962:1136 -174
6 Lokomotiva Plzeň 18 15 3 0 1 11 1044:1239 -195

Z Home

# Team P Pl W WO LO L PS:PA PD
1 Nový Jičín 20 10 10 0 0 0 874:638 +236
2 Děčín 19 10 9 0 0 1 803:694 +109
3 Prostějov 18 10 8 0 0 2 921:750 +171
4 Opava 18 10 8 0 0 2 854:782 +72
5 Ostrava NH 17 10 6 1 0 3 866:764 +102
6 Pardubice 17 10 7 0 0 3 783:668 +115
7 Kolín 16 10 6 0 0 4 788:778 +10
8 Brno 15 10 5 0 1 4 758:742 +16
9 USK Praha 13 10 3 0 1 6 687:738 -51
10 Lokomotiva Plzeň 11 10 1 0 0 9 649:822 -173
11 Svitavy 11 10 1 0 0 9 613:804 -191

Table Overall Home

# Team P Pl W WO LO L PS:PA PD
1 Opava 28 19 15 0 0 0 1583:0 +1583
2 Prostějov 27 23 18 0 0 0 1971:0 +1971
3 Děčín 26 18 13 0 0 0 1421:0 +1421
4 Nový Jičín 26 17 11 0 0 0 1392:0 +1392
5 Pardubice 25 20 13 0 0 0 1562:0 +1562
6 Kolín 25 16 10 0 0 0 1288:0 +1288
7 Ostrava NH 24 17 10 0 0 0 1371:0 +1371
8 Brno 22 16 8 0 0 0 1210:0 +1210
9 USK Praha 20 17 6 0 0 0 1165:0 +1165
10 Svitavy 19 15 4 0 0 0 962:0 +962
11 Lokomotiva Plzeň 18 15 3 0 0 0 1044:0 +1044
12 Nymburk 10 12 12 0 0 0 1045:0 +1045

Skupina A1 Away

# Team P Pl W WO LO L PS:PA PD
1 Nymburk 10 5 5 0 0 0 394:342 +52
2 Prostějov 8 5 3 0 1 1 403:383 +20
3 Pardubice 8 5 3 0 0 2 380:363 +17
4 Děčín 7 5 2 0 0 3 362:382 -20
5 Nový Jičín 5 5 0 0 0 5 368:410 -42
6 Ostrava NH 5 5 0 0 0 5 365:454 -89

Skupina A2 Away

# Team P Pl W WO LO L PS:PA PD
1 USK Praha 21 15 5 1 0 9 1085:1155 -70
2 Kolín 20 15 5 0 2 8 1134:1261 -127
3 Opava 19 15 4 0 1 10 1038:1182 -144
4 Svitavy 18 15 3 0 0 12 1049:1293 -244
5 Brno 18 15 3 0 0 12 1038:1157 -119
6 Lokomotiva Plzeň 17 15 2 0 0 13 1024:1243 -219

Z Away

# Team P Pl W WO LO L PS:PA PD
1 Prostějov 19 10 9 0 0 1 804:710 +94
2 Pardubice 17 10 7 0 0 3 816:720 +96
3 Děčín 17 10 7 0 0 3 771:665 +106
4 Ostrava NH 16 10 5 1 0 4 722:754 -32
5 Nový Jičín 15 10 4 1 0 5 869:759 +110
6 Kolín 13 10 3 0 1 6 745:830 -85
7 USK Praha 12 10 2 0 0 8 726:829 -103
8 Brno 12 10 2 0 0 8 683:786 -103
9 Opava 12 10 2 0 0 8 679:786 -107
10 Svitavy 11 10 1 0 0 9 686:896 -210
11 Lokomotiva Plzeň 11 10 1 0 0 9 679:861 -182

Table Overall Away

# Team P Pl W WO LO L PS:PA PD
1 Prostějov 27 22 14 0 0 0 3506:1692 +1814
2 Pardubice 25 20 12 0 0 0 3001:1495 +1506
3 Děčín 24 19 10 0 0 0 2680:1348 +1332
4 USK Praha 21 18 7 0 0 0 2514:1395 +1119
5 Ostrava NH 21 17 6 0 0 0 2505:1393 +1112
6 Nový Jičín 20 18 7 0 0 0 2663:1375 +1288
7 Kolín 20 16 5 0 0 0 2411:1326 +1085
8 Opava 19 18 5 0 0 0 2690:1420 +1270
9 Brno 18 17 3 0 0 0 2386:1338 +1048
10 Svitavy 18 15 3 0 0 0 2185:1293 +892
11 Lokomotiva Plzeň 17 15 2 0 0 0 2263:1243 +1020
12 Nymburk 10 10 8 0 0 0 1652:696 +956
P
Points
Pl
Played
W
Wins
WO
Wins OT
LO
Losses OT
L
Losses
PS:PA
Points For:Points Againts
PD
Point difference

Děčín - Nymburk Statistics

Compare the performance of Děčín and Nymburk in the a National League M 2010/2011 season. Here you will find their head-to-head matches as well.

Based on statistical data, you can form your own prediction for this match. Examine which team has scored or conceded more goals and assess the current form of both teams.

By placing performance graphs side by side, you can track the progress of Děčín and Nymburk in the championship.

Team Forms

When calculating team form, the last 5 matches are taken into account. This contributes to the overall form. For home and away form, the team's last 5 home and away matches are considered.

The form difference comes into play when comparing two teams.

The form difference involves two numbers: (home team's home form - away team's away form) and the difference between the total forms of the two teams. This can provide some indication of the likely outcome of the next match between the two teams.

If both numbers are positive and greater than 5, the home team is more likely to win. If both numbers are negative and less than -5, the away team is more likely to win. Otherwise, it might be a draw, but it's not recommended to base predictions solely on these numbers.