Sat, 2018 December 15. @ 14:18 (Europe/Berlin) | Change timezone

Sleza Wroclaw


Game Date Home Score Away 1 X 2
1 2018.10.06 Poznan AZS 50 : 91 Sleza Wroclaw 7.18 - 1.08
2 2018.10.14 Politechnika Gdanska 51 : 83 Sleza Wroclaw 17.00 - 1.00
4 2018.10.21 Sleza Wroclaw 80 : 78 Lublin AZS 1.08 - 7.08
5 2018.10.28 Gdynia GTK 91 : 98 ot Sleza Wroclaw 1.48 - 2.55
6 2018.11.03 Sleza Wroclaw 81 : 70 Siedlce MKK 1.02 - 11.50
7 2018.11.10 Ostrovia Ostr 47 : 80 Sleza Wroclaw 17.00 - 1.00
8 2018.11.25 Sleza Wroclaw 62 : 78 Gorzow Wielkopolski PWSZ 1.53 - 2.41
9 2018.12.02 Sleza Wroclaw 80 : 69 Wisla Krakow TS 1.95 - 1.79
10 2018.12.09 Widzew Lodz 92 : 80 Sleza Wroclaw 5.60 - 1.12
11  2018.12.16 Sleza Wroclaw - : - Bydgoszcz Baton 1.69 - 2.05
12  2018.12.22 Polkowice - : - Sleza Wroclaw - - -
13  2019.01.05 Sleza Wroclaw - : - Torun - - -


  Season progress graph Form
Home Home 30
Away Season progress graph 40
Overall Season progress graph 23

Bydgoszcz Baton


Game Date Home Score Away 1 X 2
2 2018.10.11 Bydgoszcz Baton 92 : 75 Poznan AZS 1.00 - 17.00
3 2018.10.17 Politechnika Gdanska 54 : 60 Bydgoszcz Baton 13.00 - 1.01
5 2018.10.27 Lublin AZS 67 : 76 Bydgoszcz Baton 3.68 - 1.25
6 2018.11.04 Bydgoszcz Baton 59 : 65 Gdynia GTK 1.49 - 2.53
7 2018.11.10 Siedlce MKK 68 : 88 Bydgoszcz Baton 5.40 - 1.13
8 2018.11.25 Bydgoszcz Baton 79 : 43 Ostrovia Ostr - - -
9 2018.12.02 Gorzow Wielkopolski PWSZ 73 : 74 Bydgoszcz Baton 1.57 - 2.30
10 2018.12.09 Bydgoszcz Baton 70 : 60 Wisla Krakow TS 1.74 - 2.02
11  2018.12.16 Sleza Wroclaw - : - Bydgoszcz Baton 1.69 - 2.05
1  2018.12.19 Torun - : - Bydgoszcz Baton - - -
12  2018.12.22 Widzew Lodz - : - Bydgoszcz Baton - - -
13  2019.01.05 Bydgoszcz Baton - : - Polkowice - - -


  Season progress graph Form
Home Home 33
Away Season progress graph 56
Overall Season progress graph 48

Mutual matches

Date Home Score Away 1 X 2
2018.04.22 Bydgoszcz Baton 85 : 54 Sleza Wroclaw 1.53 14.00 2.55
2018.04.19 Sleza Wroclaw 61 : 67 Bydgoszcz Baton 1.61 14.00 2.38
2018.04.18 Sleza Wroclaw 79 : 85 Bydgoszcz Baton 1.48 15.00 2.70
2018.04.15 Bydgoszcz Baton 57 : 61 Sleza Wroclaw 1.76 - 1.95
2018.04.14 Bydgoszcz Baton 70 : 80 ot Sleza Wroclaw 1.65 - 2.11
2018.03.25 Sleza Wroclaw 53 : 66 Bydgoszcz Baton 1.63 - 2.05
2017.12.10 Bydgoszcz Baton 52 : 58 Sleza Wroclaw 1.44 - 2.55
2016.12.21 Sleza Wroclaw 71 : 61 Bydgoszcz Baton 1.15 - 4.20
2016.10.09 Bydgoszcz Baton 58 : 74 Sleza Wroclaw - - -
2016.03.09 Bydgoszcz Baton 84 : 49 Sleza Wroclaw 1.28 - 3.30
2015.10.31 Sleza Wroclaw 89 : 67 Bydgoszcz Baton - - -
2015.03.08 Sleza Wroclaw 52 : 65 Bydgoszcz Baton - - -
2014.12.13 Bydgoszcz Baton 65 : 58 Sleza Wroclaw - - -

Form difference

  Form difference
Home-Away -26
Overall -25
Prediction Home Lose

Sleza Wroclaw

Total points/game
< 140 33.33% (3/9)
141 - 170 44.44% (4/9)
171 - 200 22.22% (2/9)
201+ 0% (0/9)

Winning margin
By 1-2 points 11.11% (1/9)
By 3-6 points 0% (0/9)
By 7-9 points 11.11% (1/9)
By 10-13 points 22.22% (2/9)
By 14-16 points 0% (0/9)
By 17-20 points 0% (0/9)
By 21+ points 33.33% (3/9)

Points scored/game 81.67
Points received/game 69.56
Points/game 151.22

  1st quarter 2nd quarter 3rd quarter Final
Won 66.67% (6/9) 77.78% (7/9) 55.56% (5/9) 66.67% (6/9)
Ties 11.11% (1/9) 0% (0/9) 0% (0/9) 0% (0/9)
Lost 22.22% (2/9) 22.22% (2/9) 44.44% (4/9) 22.22% (2/9)

No. of points in quarters
First 26.08% (355/1361)
Second 23.44% (319/1361)
Third 26.38% (359/1361)
Fourth 21.38% (291/1361)

Bydgoszcz Baton

Total points/game
< 140 50% (4/8)
141 - 170 50% (4/8)
171 - 200 0% (0/8)
201+ 0% (0/8)

Winning margin
By 1-2 points 12.5% (1/8)
By 3-6 points 12.5% (1/8)
By 7-9 points 12.5% (1/8)
By 10-13 points 12.5% (1/8)
By 14-16 points 0% (0/8)
By 17-20 points 25% (2/8)
By 21+ points 12.5% (1/8)

Points scored/game 74.75
Points received/game 63.12
Points/game 137.88

  1st quarter 2nd quarter 3rd quarter Final
Won 50% (4/8) 12.5% (1/8) 87.5% (7/8) 87.5% (7/8)
Ties 12.5% (1/8) 25% (2/8) 0% (0/8) 0% (0/8)
Lost 37.5% (3/8) 62.5% (5/8) 12.5% (1/8) 12.5% (1/8)

No. of points in quarters
First 23.57% (260/1103)
Second 25.57% (282/1103)
Third 25.29% (279/1103)
Fourth 25.57% (282/1103)

League tables

Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Polkowice 9 9 0 0 0 740:538 +202 18 +9
2 Gdynia GTK 10 8 0 1 1 799:685 +114 18 +3
3 Sleza Wroclaw 9 6 1 0 2 735:626 +109 16 -1
4 Bydgoszcz Baton 8 7 0 0 1 598:505 +93 15 +4
5 Wisla Krakow TS 9 6 0 0 3 680:579 +101 15 -2
6 Torun 8 6 0 0 2 618:498 +120 14 +2
7 Gorzow Wielkopolski PWSZ 9 5 0 0 4 727:614 +113 14 -2
8 Siedlce MKK 10 3 0 0 7 714:815 -101 13 +1
9 Lublin AZS 9 3 0 0 6 622:639 -17 12 +2
10 Widzew Lodz 9 3 0 0 6 634:694 -60 12 +1
11 Poznan AZS 9 1 0 0 8 613:778 -165 10 -4
12 Politechnika Gdanska 9 1 0 0 8 553:726 -173 10 -3
13 Ostrovia Ostr 10 0 0 0 10 547:883 -336 10 -10
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Polkowice 6 6 0 0 0 498:375 +123 12 +6
2 Gdynia GTK 5 3 0 1 1 422:382 +40 8 +1
3 Widzew Lodz 6 2 0 0 4 432:473 -41 8 +1
4 Poznan AZS 6 1 0 0 5 398:507 -109 7 -2
5 Politechnika Gdanska 6 1 0 0 5 375:454 -79 7 -2
6 Bydgoszcz Baton 4 3 0 0 1 300:243 +57 7 +2
7 Lublin AZS 5 2 0 0 3 334:329 +5 7 +1
8 Sleza Wroclaw 4 3 0 0 1 303:295 +8 7 +1
9 Gorzow Wielkopolski PWSZ 4 2 0 0 2 316:276 +40 6 -2
10 Ostrovia Ostr 5 0 0 0 5 274:466 -192 5 -5
11 Wisla Krakow TS 3 2 0 0 1 252:172 +80 5 +1
12 Torun 2 1 0 0 1 151:119 +32 3 +1
13 Siedlce MKK 3 0 0 0 3 196:238 -42 3 -3
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Torun 6 5 0 0 1 467:379 +88 11 +5
2 Gdynia GTK 5 5 0 0 0 377:303 +74 10 +5
3 Wisla Krakow TS 6 4 0 0 2 428:407 +21 10 -2
4 Siedlce MKK 7 3 0 0 4 518:577 -59 10 +1
5 Sleza Wroclaw 5 3 1 0 1 432:331 +101 9 -1
6 Gorzow Wielkopolski PWSZ 5 3 0 0 2 411:338 +73 8 -1
7 Bydgoszcz Baton 4 4 0 0 0 298:262 +36 8 +4
8 Polkowice 3 3 0 0 0 242:163 +79 6 +3
9 Ostrovia Ostr 5 0 0 0 5 273:417 -144 5 -5
10 Lublin AZS 4 1 0 0 3 288:310 -22 5 +1
11 Widzew Lodz 3 1 0 0 2 202:221 -19 4 +1
12 Poznan AZS 3 0 0 0 3 215:271 -56 3 -3
13 Politechnika Gdanska 3 0 0 0 3 178:272 -94 3 -3

Here you can check how Sleza Wroclaw compares to Bydgoszcz Baton by stats. The data is calculated based on matches from Ekstraklasa W. This can be very useful in predicting the outcome of the next match.